Showing posts with label Ontario. Show all posts
Showing posts with label Ontario. Show all posts

Southern Ontario Extreme Rainfall Intensity Trends - Update From Environment Canada Engineering Climate Datasets

Environment and Climate Change Canada has updated and extended the Engineering Climate Datasets as noted in the last post. This post shows the updated trends in extreme rainfall intensities across long-term southern Ontario climate stations - the good news is that intensities have not increased. This means that infrastructure built in the last few decades is not undersized considering current rainfall design intensities.

Previously trends in some southern Ontario intensity-duration-frequency (IDF) values and annual maximum series were evaluated in my paper "Evidence Based Policy Gaps in Water Resources: Thinking Fast and Slow on Floods and Flow" in the Journal of Water Management Modelinghttps://www.chijournal.org/C449

Further analysis of trends in long-term stations has been presented in this blog and in the National Research Council of Canada's "National Guidelines on Undertaking a Comprehensive Analysis of Benefits, Costs and Uncertainties of Storm Drainage and Flood Control Infrastructure in a Changing Climate" - that guideline included trends in southern Ontario up to Version 3.10, as presented in the earlier post: https://www.cityfloodmap.com/2022/02/nrc-national-guidelines-on-flood.html

The southern Ontario IDF trend data has now been updated based on the Version 3.3 dataset released in May 2023 and includes some station updates to 2021- 9 of the 21 stations were updated. The following table and charts show the trends in 2-year to 100-year design rainfall intensities.

The table below shows changes in average intensity - decreases since 1990 are shaded in green and increases are in red. Note the the trends are weighted by record length. Across all durations and return periods the average decrease is - 0.33 %.  That is a slight decrease from the Version 3.20 datasets, meaning less intense rainfall when more recent data has been included. On average 30 statistics decreased while 20 statistics increased.


It is noteworthy that none of the 2-year intensities increased and the largest increase was 0.8% for 100-year intensities at one station for durations of 30 minutes and 1 hour. Overall for 21 stations 100-year intensities were virtually unchanged with the average intensities decreasing 0.1% after 30+ years, and the median increasing 0.2%. Skewed data statistics should increase over time with longer records - check out this post for more on that: https://www.cityfloodmap.com/2016/02/ontario-climate-change-trends-going.html



The following chart shows the range of changes for each return period as well as the average change. The decreases are greater than any increases for the 5 to 100-year events.



(note: above chart average intensity change dashed line corrected Nov. 10, 2024)

The following chart provides more of a breakdown by duration. One can see the red 5 minute intensities decreased on average for all return periods. The 2 hour to 24 hour intensities decreased for most return periods and where there were increase they were minor compared to other decreases. For the 5-year to 100-year return periods the 15 minutes to 1 hour intensities increased, but by no greater than 0.8%. These increases and decreases are basically insignificant in terms of impacts on infrastructure design.


This last table is annotated to show how various statistics are used in design. Infrastructure that has been designed considering short duration intensities like local sewer systems are now subject to virtually the same 2 to 10-year design intensities that existed over 30 years ago. Ponds designed for long duration higher return periods (e.g., 100-year events) are now subject to virtually the same intensities, or design event volumes, they were subject to decades ago as well. 




Can We Use Daily Rainfall Models To Predict Short Duration Trends? Not Always - Observed Daily and Short Duration Trends Can Diverge

One can assess trends in rainfall intensities over various durations and return periods using Environment Canada's Engineering Climate Datasets.  National trends based on updating 226 station IDF curves were shown in an earlier post.

What are the trends in regions of Canada that have experienced significant flooding in the past?  And do the trends projected by models for long durations (1 day precipitation) match observed data trends?  No - some 24-hour trends are decreasing despite models estimating they will go up (or have gone up because of increasing temperatures).

Also, what is happening with observed short duration intensities, the ones responsible for flooding in urban areas, compared to the observed 1-day trends?

The data show short duration and long duration trends diverge. Therefore relying on models of 1 day precipitation to estimate what is happening with short duration, sudden, extreme rainfall should be done with caution.

A couple charts help illustrate these observed data trends and show what is wrong with relying directly on models to project local extreme rainfall.

This is the trend in observed rainfall for southern Ontario climate stations, using median changes in IDF statistics:

Southern Ontario Extreme Rainfall Trends

Long duration intensities are decreasing and short duration intensities are decreasing even more.  The extreme intensities (red dots = 100 year, orange dots = 50 year) decrease more than the small frequent storm intensities (green dots = 2 year).  Observed data diverges from Environment Canada models that suggest intensities are going up due to a warmer climate (see recent CBC article).

These are the trends for Alberta observed rainfall when new data are added and are reflected in the most current v3.10 datasets:

Alberta Extreme Rainfall Trends

In Alberta, long duration intensities decrease significantly (100 year is down by 4% on average).  Meanwhile the short duration intensities increase.  The long duration decrease is contrary to Environment Canada's simulation models that estimate 1 day rainfall at a sub-continental scale.

In northern Ontario, trends are different than in southern Ontario as shown below:

Northern Ontario Extreme Rainfall Trends

In northern Ontario the long duration intensities have increased but short duration intensities have decreased on average.  So we see short and long duration rainfall trends are diverging when we consider new data.

Climate modellers may suggest that simulated 1 day precipitation can guide what happens during short durations too.  Observed data suggest otherwise.  Trends actually diverge.

In brief, for this sample of regions shown above, we see these trends:

Location                 Short Duration Trend         Long Duration Trend

Southern Ontario      Larger Decrease                        Decrease
Northern Ontario            Decrease                              Increase
Alberta                            Increase                               Decrease

Remember "All models are wrong, some are useful".  Climate models do not accurately project changes in extreme rainfall in Canada based on observed data.  Furthermore, simulated 1 day precipitation trends from models cannot be used to assume short duration trends related to flooding in urban areas - short and long duration rainfall trends are observed to change in opposite directions in sample regions across Canada.

When using 1 day rainfall trends to estimate short duration trends, given the actual observed data trends above, it may be appropriate to conduct sensitivity analysis on potential shorter duration trends, especially if those shorter durations influence system behaviour (e.g., 'flashy' urban drainage systems).  Those short duration trends trends may be in an opposite direction or magnitude than the 1 day trends. For example, in Northern Ontario the 1 day 100-year intensities have increased 2% as a result of the most recent IDF data updates, however the intensities for durations of 2 hours or less have mostly decreased.

The following chart compares the 30 minute, 1 hour and 2 hour 100-year intensity trends with the 24 hour 100-year trends at 226 climate stations across Canada.


The correlation of short duration trends with 24 hour trends is weak with R-squared value of 0.12 for 2 hour trends, 0.06 for 1 hour trends and 0.006 for 30 minute trends.  This suggests that short duration trends are not correlated with 24 hour trends.   

***

Given recent flooding in British Columbia, it is worthwhile looking at trends in design rainfall intensities in BC. This chart shows that extreme rainfall intensities (red dots with 100-year return period, orange dots with 50-year return period) have not increased for most durations - the 12 hour duration intensities are up slightly on average (less than 0.5% increase), while other duration intensities have decreased by more than 2 % on average (5-minute 100-year intensities).


For the longest duration of 24 hours, intensities have decreased on average - typical 2-year intensities are unchanged on average while the moderate and extreme intensities (5-years, 10-year, 25-year, 50-year and 100-year) have decreased on average.

The following tables shows trends in observed annual maximum rainfall over various durations at BC climate stations with long-term records. These are called the Annual Maximum Series (AMS). Trends in derived design rainfall intensities above (e.g., 2-year to 100-year rainfall rates) follow these trends in AMS.




Southern Ontario Extreme Rainfall Trends - Environment Canada Engineering Climate Datasets IDF Tables

Environment Canada's version 3.10 update to Canada's rainfall IDF tables and curves shows more increases than decreases and slightly more significant increases than decreases - overall trends were shown in a recent post: https://www.cityfloodmap.com/2020/05/annual-maximum-rainfall-trends-in.html.

Regional trends may be up or down and warrant further review.  In Southern Ontario the IDF intensities for long term stations have been reviewed and compared with pre-version 1.00 statistics up to 1990 (similar to version 3.00 and version 2.30 comparisons shared in earlier posts).  The following table shows average changes since 1990, and the surrounding arrows suggest how these changes may influence infrastructure design, if at all.

Southern Ontario IDF Rainfall Intensity Trend Table - Environment and Climate Change Canada's Engineering Climate Datasets, Pre-Version 1.00 (up to 1990) to Version 3.10 (up to  2017)

The 21 stations assessed include:  Sarnia Airport, Chatham WPCP, Delhi CS, Port Colborne, Ridgetown RCS, St Catharines Airport, St Thomas WPCP, Windsor Airport, Brantford MOE, Fergus Shand Dam, Guelph Turfgras CS, London CS, Mount Forest (Aut), Stratford WWTP, Waterloo Wellington Airport, Bowmanville Mostert, Hamilton Airport, Hamilton RBG CS, Oshawa WPCP, Toronto City, Toronto International Airport (Pearson).

The above changes in design rainfall intensities since 1990 do not suggest any overall shift that would affect how municipal drainage infrastructure would be designed considering current weather conditions.  That is, overall intensities have decreased by 0.2% which in negligible.  The 5-minute, 2-hour and 6-hour intensities decreased consistently across all return periods.  The change however is also negligible.  On average frequent intensities, e.g., 2-year intensities expected every couple of years, and 5-year intensities, used for storm sewer design showed overall decreases.  Again the changes are negligible.  The 100-year intensities increased by 0.1% overall which is also negligible, especially considering the confidence limits with such statistics and the uncertainty in curve fitting (Gumbel distributions are used, other distributions would provide shifts in results).  One would expect rare intensities to increase over time for skewed distributions given sampling bias with short records (i.e., limited observations of extreme events are expected to lead to underestimates of 100-year statistics).

Of course considerations must be made to account for future changes and uncertainties.  Some cities and regions have incorporated allowance for climate change effects.  In Quebec a 18% allowance is standardized.  Some cities (e.g., Ottawa) include a 20% stress test to evaluate any unacceptable conditions that warrant design changes to address future potential risks.  Others incorporate stress test hyetographs in the design process - the Windsor/Essex Ontario standards include a stress test event that has 39% greater volume than the standard 100-year design storm (NB - the daily volume is increased to account for that additional volume distributed uniformly across 24 hours, while peak hyetograph intensities are only nominally affected). 

The chart below shows the IDF trends at these long-term record Southern Ontario stations.

Southern Ontario IDF Rainfall Intensity Trend Chart by Duration - Environment and Climate Change Canada's Engineering Climate Datasets, Pre-Version 1.00 (up to 1990) to Version 3.10 (up to  2017)

It is clear that that the short duration intensities (red and orange bars representing 5 and 10 minute durations) have decreased the most as shown in the table above. The chart and table below shows a more simplified version of the above chart indicating the range of changes observed.

Southern Ontario IDF Rainfall Intensity Trend Chart by Duration - Environment and Climate Change Canada's Engineering Climate Datasets, Pre-Version 1.00 (up to 1990) to Version 3.10 (up to  2017)

The above chart shows that 2-year and 5-year IDF rainfall intensities have decreased most consistently among all stations.  Those intensity estimates benefit from many observations each year to determine the statistics.  Rare event intensities from 25-year to 100-year return periods have more equal increases and decreases yet the decreases are greater.  The magnitude of the changes, both increases and decreases are on average negligible.  Even the greatest increase of 1.2% from 1990 to 2017 (27 years) is negligible for the purpose of hydrologic analysis and drainage infrastructure design.



Green Infrastructure Cost - Ontario Tender Costs Support Economic Analysis for Master Plans, Asset Management, Retrofit Strategies

Numerous green infrastructure, low impact development (LID) stormwater best management practices (BMPs), projects have been implemented in Ontario and across North America. To support planning studies and strategy development, capital costs for implementation are required.  The following table summarizes recent project costs, based largely in Ontario.

The average cost per treated hectare is $530,000 (total project costs are weighted by total project area).  The design volume for the majority of the projects is not available.

Cost of Green Infrastructure Ontario
Ontario (and Alberta) Green Infrastructure Costs

The cost for these LID measures varies according to the type of feature as shown on the following chart that plots cost vs. service area (drainage catchment controlled).  Projects were grouped by type where possible, although some projects may incorporate more than one type in a treatment train.  The chart illustrates that Infiltration Trenches have the lowest cost per drainage area served. Rain Garden & Bioswales have the highest cost.

Green Infrastructure Cost Ontario
Ontario (and Alberta) Green Infrastructure Cost by Type of Low Impact Development Measure
Previous posts summarized costs from programs in the US.  The summary of 39 Ontario (and a couple Alberta) projects represent a total capital cost of $19.2M and a total service area of 36.2 hectares.  This area is comparable to the area of costed green infrastructure projects in the US EPA International BMP database.

The following table compares cost by LID type for three sources, the Philadelphia CSO control program, the ES UPA BMP database, and the compiled Ontario (and Alberta) tenders noted above.  The Philadelphia and the US EPA data both include design storage volume that may be considered for achieving different types of stormwater management goals (i.e., levels of service / performance outcomes).

Green Infrastructure Cost LID Cost
Green Infrastructure Costs by Type and Design Volume - Philadelphia CSO Control Program, US EPA BMP Database, and Ontario (and Alberta) Completed Projects

Some key observations are that porous/permeable pavement has a relatively high cost per drainage area ($/ha), however the cost per storage volume is relatively low for the US EPA datasets - this warrants further review.  The Ontario/Alberta porous/permeable pavement costs per area are also relatively high, compared to other types.  Just like Ontario/Alberta data, Philadelphia and US EA data shows lowest cost per hectare for infiltration/exfiltration projects.  The infiltration/exfiltration cost per storage volume was relatively low for both the US EPA and Philadelphia datasets.

The Philadelphia green infrastructure projects achieve a high volume, equivalent to 38.9 mm over the catchment area draining to it.  In contrast, the US EPA storage volumes are equivalent to only 6.6 mm.  The Philadelphia projects are sized for 1-2 inches of storage to achieve CSO control.  In contrast the US EPA projects are sized to achieve other benefits, such as watershed protection.

While the Philadelphia cost per area is highest at $857,000 per hectare, which is 4.1 times the US EPA database cost of only $208,000 per hectare, the unit cost per storage is in fact less.  The Philadelphia unit cost is $22,000 per hectare-mm.  The US EPA cost is $32,000 per hectare-mm, reflecting lower cost efficiency for smaller installations perhaps.

Using these unit costs one can estimate the budget required to retrofit green infrastructure into older urban areas to improve stormwater management.  In Ontario, the urban area built by 1966 has been estimated to be 110,000 hectares (Ducks Unlimited mapping), and by year 2000 to be 852,000 hectares (provincial SOLRIS land use mapping v2).  Assuming that 200,000 hectares require significant storage to achieve flood control in older communities, the retrofit cost would be $171 billion, applying the $857,000/hectare unit cost.  Or to provide improved water quality and water balance controls to the year 2000 urban area, the retrofit cost would be $177 billion, applying the $208,000/hectare unit cost.  Both of those costs represent considerable sums, given the Ontario stormwater infrastructure deficit of about $6.8 billion - that is the retrofit cost would be over 25 times that current deficit.  Given that, a strategic approach to retrofitting older communities is required, including prioritization of retrofit areas, implementing on higher-performance sites (e.g., permeable soils), implementing on highest risk tributaries (sensitive habitat, infrastructure or property risks), and considering the most cost effective measures, e.g., higher volume/centralized facilities that exhibit lower unit costs for storage, and feature types with lowest unit costs (i.e., infiltration/exfiltration facilities, and (to be confirmed) porous/permeable pavement).  The operation and maintenance costs associated with porous/permeable pavement should also be considered in the development of a retrofit strategy (i.e., consider full lifecycle costs including both capital and operating costs).

***

Update May 1, 2020

A few additional projects have been added to the cost table, including some updated costs for previously listed projects.  The added projects are the bottom six projects, representing an update for the Brampton County Court SNAP bioswale and the Newmarket Forest Glenn Drive LIDs.  The added projects are from the TRCA's cost review report to assess the updated LID lifecycle costing tool (LCCT Sensitivity Analysis https://sustainabletechnologies.ca/app/uploads/2020/03/LCCT-Sensitivity-Analysis_March2020.pdf). A total of 47 projects are now included.

The weighted cost per hectare has increased slightly to $540,000 per hectare of drainage area.

Across Ontario, the areas that could be retrofitted with LID controls is extensive. The new provincial SOLRIS land use data has been reviewed to assess what the province-wide retrofit cost could be considering:

1) Urban impervious area = 344,000 hectares
2) Transportation area = 295,000 hectares
3) Urban pervious area = 93,000 hectares

Controlling runoff for all such areas with green infrastructure LIDs would cost $395,000,000,000 - that is, $395 billion assuming a unit cost of $540,000 per hectare.

***

The LID Cost Summary Table above presented costs per cubic metre so that the cost to achieve performance benefits through storage, e.g., water quality improvement, erosion stress reduction (water balance controls), or peak flow control, can be determined by those analyzing system performance. The costs in Philadelphia were $2,200 / cu.m for large volume controls (38.9 mm on average) while EPA BMP database costs were higher at $3,730 / cu.m for smaller controls (6.6 mm on average).

The added / revised Ontario projects include design volumes as well and so costs have been normalized by storage volume as shown below:

  
The Ontario cost per cubic metre is lower at $823.  This area-weighted cost reflect the very low unit cost of the Brampton bioretention rain garden of $297/cu.m - that cost is roughly an order of magnitude lower than the Philadelphia and US EPA BMP database costs for such features.  The median cost per cubic metre for these Ontario projects is $2,600, similar to the Philadelphia and US EPA cost.

Cost-Effective Resilience - The Grey, the Green and the Ugly - WEAO Influents Article Examines Infrastructure Technology 'Bang for the Buck'

New article in the Water Environment Association of Ontario's Influents Magazine explores the cost-effectiveness on infrastructure technologies, including conventional 'grey' and emerging 'green' approaches for achieving extreme weather resiliency by reducing flood losses in existing communities.

See: article link.


The article provides a brief history of Low Impact Development Best Management Practices (LID BMPs) in Ontario and the assessment of cost in infrastructure projects. New requirements for benefit-cost analysis for flood mitigation projects, such as through Infrastructure Canada's Disaster Mitigation Adaptation Fund, are also discussed. A previous post identifies some of these significant projects (https://www.cityfloodmap.com/2019/03/disaster-mitigation-adaptation-fund.html).

Results of a case study comparing grey, green and blended grey and green technologies are summarized. Details of this analysis are included in a previous post (https://www.cityfloodmap.com/2019/03/an-economic-analysis-of-green-v-grey.html) and were presented at the 2019 WEAO Annual Conference. The case study confirms the cost-effectiveness of conventional grey technologies, consisting largely of storm and sanitary sewer upgrades, and cast doubt on the cost-effectiveness of emerging green infrastructure or LID BMPs, considering full lifecycle costs. Limitations in the assessment of technical effectiveness green infrastructure in insurance industry research, as summarized in a previous post (https://www.cityfloodmap.com/2018/10/media-identifies-gaps-in-insurance.html) and in my NWWC2018 presentation Storm Warts, the Floods Awaken (https://www.cityfloodmap.com/2018/11/storm-warts-floods-awaken-new-hope-for.html) are briefly touched upon.

The move toward more rigorous assessments of project cost effectiveness is keeping with the Made-in-Ontario Environment Plan that intends to avoid the frustration of "policies and programs that don't deliver results". Such assessments are also consistent with Ontario's Long Term Infrastructure Plan 2017 that suggests that infrastructure proposals should be "supported by robust and consistent business cases".

Environment Canada Report Confirms No Overall Change in Extreme Rainfall - Generally Random Ups and Downs - Stated Certainty of Future Shifts Contradicts American Society of Civil Engineer's "Significant Uncertainty"

A new Environment and Climate Change Canada (ECCC) report Canada’s Changing Climate Report https://changingclimate.ca/CCCR2019/ reviews past, observed rainfall extremes https://changingclimate.ca/CCCR2019/chapter/4-0/ and confirms there are no observed changes in extreme rainfall across the country:

"For Canada as a whole, there is a lack of observational evidence of changes in daily and short-duration extreme precipitation."

ECCC predicts increases showing a theoretical probability density function shift (Figure 4.21) where the blue line probability density function represents today's/yesterday's eventt magnitudes and frequencies without climate effects, and red represents with effects (shift right means higher magnitude for any frequency):


Engineering Climate Datasets in some regions show trends in the magnitude of rain intensity magnitudes (reality) going the other way however:
https://www.cityfloodmap.com/2019/03/idf-updates-for-southern-ontario-show.html .

This image shows the difference between the theory and the local data reality - the green line is the REALITY showing for any given frequency (2, 10, 50, 100 Year events) the magnitude is going down in southern Ontario:

ECCC suggests there is insufficient data to observe the changes in extremes expected: "Estimating changes in short-duration extreme precipitation at a point location is complex because of the lack of observations in many places and the discontinuous nature of precipitation at small scales." - while that MAY be accurate for extreme events that are rare and elusive, why do 2 Year rain intensities, derived from many, many yearly observations at all long term rain gauges, show the clearest decline, across all durations from 5 minutes to 24 hours?

Surely, we have DO enough point locations and observations to see the change in these small storms. But if these small frequent storm intensities are no higher with today's temperature shifts, why do we expect the extremes to be higher either? Data we do have shows in southern Ontario these 100 year intensities are 0.2% LOWER on average. So extremes are shifting shifting along with the means.... shifting lower.

A theoretical probability density function shift has been promoted in the past by ICLR and IBC in the 2012 Telling the Weather Story report:


This has been shown to be 'made-up' and not related to real data (ECCC IDF tables and charts mistakenly cited as the source of the 40 year to 6 year frequency shift) - this chart shows the theoretical 1 standard deviation shift widely circulated by IBC and real data shifts:

See the difference between theory and data? It is pretty clear.

Given the lack of past trends, and uncertainty in future noted in the ECCC report ("It is likely that extreme precipitation will increase in Canada in the future, although the magnitude of the increase is much more uncertain"), we must follow the American Society of Civil Engineer's recommended "Observational Method" approach see 2015 report Adapting Infrastructure and Civil Engineering Practice to a Changing Climate at http://theicnet.org/wp-content/uploads/2015/07/2015-07-ASCE-Practice-to-Climate-Change-2015.pdf, and also see https://ascelibrary.org/doi/book/10.1061/9780784415191?utm_campaign=PUB-20181023-COPRI%20Alert&utm_medium=email&utm_source=Eloqua# for the new 2018 manual on engineering practice Climate-Resilient Infrastructure, Adaptive Design and Risk Management.

The ASCE 2018 manual promotes incorporating any no-regret, now cost measures in design today considering most probable future conditions, and allowing design flexibility to adapt in the future if and when performance is shown to be inadequate or affected by future changes - this is a practical approach intended to avoid costly over-design, and over-investment in potentially unnecessary and cost-ineffective infrastructure today.

While the ASCE 2015 report notes the high degree of uncertainty "However, even though the scientific community agrees that climate is changing, there is significant uncertainty about the location, timing and magnitude of the changes over the lifetime of infrastructure."

In contrast, the ECCC report appears to asset a high degree of confidence in future changes saying "For Canada as a whole, there is a lack of observational evidence of changes in daily and short-duration extreme precipitation. This is not unexpected, as extreme precipitation response to anthropogenic climate change during the historical period would have been small relative to its natural variability, and as such, difficult to detect. However, in the future, daily extreme precipitation is projected to increase (high confidence). - how can ECCC assert high confidence when there are no observed trends? How can ECCC contradict ASCE's statement on high "signifcant uncertainty'?

ECCC reports that summer precipitation is expected to decrease: "Summer precipitation is projected to decrease over southern Canada under a high emission scenario toward the end of the 21st century, but only small changes are projected under a low emission scenario." - how can that be if the summer temperatures are going up? Does this not violate the Clausius-Clapeyron theory cited in the ECCC report states that "increased atmospheric water vapour in this part of the world should translate into more precipitation, according to our understanding of physical processes" - so that is a theory - what about the real data? What does it show? the Clausius-Clapeyron relationship does not stand up to scrutiny as shown in a previous post.

Given highest rainfall extreme are in the summer (see the work of Dr. Trevor Dickinson on seasonal extremes), a summer decrease in precipitation could potentially mean lower flood risks. The data for southern Ontario already show a decrease in the annual maximum series (reflecting lower means and typical 2 Year design intensities in derived IDF curves) and the extreme 100 Year design intensities are decreasing slightly as well.

Overall, many in the media have over-hyped concerns about changing rainfall severity. Data and ECCC's report shows there has been no change, beyond random fluctuation. Looking ahead the American Society of Civil Engineers indicates that future changes have "significant uncertainty"- this contracts the ECCC's statement on "high confidence" on future extremes.

Are LIDs Financially Sustainable in Ontario? Philadelphia Green Infrastructure Costs - 1100 Low Impact Development Projects Define Implementation Funding for Long Term CSO & Water Quality Improvement - Comparison with 24 Ontario Projects

Philadelphia Green Stormwater Infrastructure Projects Map - Over 1100
Low Impact Development Projects for CSO Control
See September 2019 Update at Bottom of This Post

Philadelphia has an extensive green infrastructure retrofit program with cost information - recent Ontario low impact development project costs show comparable unit cost for implementation.

***

The City of Philadelphia implements green infrastructure (GI), aka low impact development (LID) best practices (BMPs), to control combined sewer overflows (CSOs).  Having implemented 1100 features in a retrofit setting, Philadelphia has a clear understanding of retrofit implementation costs. The following is a summary of their green infrastructure design construction costs provided by the city program staff:

City of Philadelphia Green Infrastructure / Low Impact Development Best Management Practices - Construction, Design and Planning Budgets Per Total and Impervious Area

Construction Cost
- $175,000 per acre ($432,000 per hectare)
Philadelphia Green Infrastructure Map by SWP / LID Type 
- $270,000 per impervious acre ($667,000 per hectare)

Design Cost
- Design fees typically 20-25% of construction costs

Total Cost (Design & Construction)
Philadelphia Green Infrastructure Map - Spatial Location
of Low Impact Development Measure
- Total costs of $230,000 per acre ($568,000 per hectare)
- Total costs of $350,000 per impervious acre ($865,000 per hectare)

Budgeting
-  $350,000 per impervious acre ($865,000 per hectare) is the overall target/budget cost that is achieved for the program and that does not include contingencies that could be carried for individual projects within the program.
- If estimated costs exceed $400,000 per acre ($988,000 per hectare) based on design estimates and project cannot be re-scoped, it is deemed too expensive and does not go ahead.

In Ontario, green infrastructure has been promoted for stormwater management in new developments since the Ministry of Environment's 1991 Interim Guidelines. Green infrastructure measures were promoted as part of a 'source control' approach and features that promoted infiltration were called Best Management Practices (BMPs). Since then, Ontario cities have developed design targets for achieving specific water resources management goals and have implemented LID BMP measures in appropriate locations. In the City of Markham and York Region, his history was summarized in a National Water and Wastewater Benchmarking Initiative Stormwater Task Force presentation:



The presentation above summarized LID implementation costs for nine (9) recent Ontario projects including bioswales, bioretention, infiltration galleries and permeable pavement. Theses cost are receiving close attention as LID implementation targets in some regions have been increased, e.g., through the Lake Simcoe Protection Act to meet environmental protection / phosphorus reduction goals, and as generic province-wide targets are now being evaluated by the Ministry of Environment and Climate Change.

Additional Ontario LID project implementation costs have been compiled with information shared by Ontario municipalities and also the Lake Simcoe Regional Conservation Authorit. This expands/updates the project costs in slide 17 of the above presentation. These costs include construction, design, administration and in-kind staffing efforts related to implementation of LID projects in the City of Markham (2 projects), City of Brampton (1 project) Town of Whitchurch-Stouffville (1 project), City of Ottawa (2 projects), Town of Ajax (1 project), City of Mississauga (3 projects), Town of Newmarket (2 projects), City of London (7 projects), Town of East Gwillimbury (1 project), Town of Uxbridge (1 project), Town of Aurora (1 project), Town of Innisfil (1 project).

The project costs and unit costs per total catchment are are shown below:

green infrastructure construction cost Ontario low impact development implementation cost retrofit
Ontario Green Infrastructure / Low Impact Development Best Management Practice Implementation Costs (No Adjustment for Inflation to 2018 Dollars) - Normalized Unit Costs Per Catchment Area Managed
This is a link to the above compiled Ontario LID costs (let me know if you have projects to add or can suggest edits / updates): Excel - Ontario Low Impact Development BMP / Green Infrastructure Implementation Cost Summary - 24 Projects

The average cost per hectare of $575,000 for these 24 projects is very close to the City of Philadelphia budget cost of $568,000. Cost per impervious hectare treated by the LID BMP would typically be higher (i.e., catchment is less that 100% impervious). Some notes regarding the project costs:

- complete costs are not available for some projects (e.g., Markham Green Road bioswale vegetation)
- one service area has been adjusted based on different sources (e.g., East Gwillimbury area reflect municipality's project brief and not original TRIECA 2017 presentation value).
- one projects has only tender cost estimate available, not actual construction cost (e.g., Newmarket Forest Glenn Rd)
- one project from LSRCA was not included in the list as it did not proceed to construction, but nonetheless incurred design and administration costs (e.g., City of Barrie, Annadale Recreation Centre, design/administration/geotechnical/in-kind staff cost of over $78,000) - this may reflect go/no go decisions on implementation that the others also consider
- most projects are retrofits, however some are new builds (Markham Green Road, Innisfil Fire Station)
- bioswales/enhanced swales require review given the wide range in unit costs per hectare of $51,000 (Uxbridge) to nearly $1.9M (Newmarket), with obvious sensitivity to the drainage area served

Previous cost estimates cited on this blog considered unit costs of approximately $400,000 per hectare and significant concern regarding the financial viability of any widespread implementation across Ontario's 852,000 urbanized hectares. Considering the expanded project cost review and adjusting for inflation, today's Ontario green infrastructure implementation costs can be estimated to be in the order of $600,000 per hectare. This magnitude of cost is comparable to Philadelphia's budgeting cost, considering over 1100 projects. These costs support the concern related to emerging Ontario policies that have not considered implementation cost impacts or financial viability.

The Ontario Society of Professional Engineers (OSPE) has recently highlighted concerns with the implementation of green infrastructure in Ontario in comments on Ontario's Long-Term Infrastructure Plan (my bold emphasis on the recommendations)

"....OSPE recommends that the Government of Ontario:

i. Critically apply the proposed ‘risk lens’ to infrastructure investments related to extreme
weather adaptation, recognizing variations in observed and predicted trends across the
province.

ii. Evaluate adaptation measures such as green infrastructure for stormwater management,
often cited as key mitigation measure, using the same ‘risk lens’ and consider the cost-
effectiveness of those infrastructure investments.

iii. Recognize that green infrastructure must be viewed through the same lens as
conventional infrastructure, adhering to established asset management principles and
full cost accounting—meaning it must be addressed up-front and directly, considering
system-wide costs."

OSPE has also commented on the limited role of green infrastructure for flood control and life cycle cost concerns in response to Ontario's draft Watershed Planning Guidance.

"Recommendation:

Green infrastructure LID implementation costs should be acknowledged to be potentially higher
than conventional grey infrastructure design, particularly for retrofits, and funding for additional
incremental retrofit costs should be considered in the comprehensive evaluation of alternative
management solutions beside green infrastructure and LIDs, including enhanced conventional
grey infrastructure designs with pollution prevention activities. Higher retrofit costs compared to
greenfield implementation should also be acknowledged.

Consideration for disproportionate costs should be acknowledged as a prohibitive constraint in
general and for linear development retrofits or widespread watershed implementation. A more
strategic approach to green infrastructure implementation, based on local needs and
considering local constraints (infiltration impacts and property flooding) is warranted."

"Recommendation:

The additional lifecycle cost associated with green infrastructure should be acknowledged to
support budgeting for long term operation, maintenance and depreciation.

The cost impacts of green infrastructure in existing communities should also be quantified
including costs in communities that are susceptible to infiltration stresses and sewer back-up
risks, additional treatment costs as infiltrated water is collected in foundation drains and
conveyed to treatment plants and cost of reduced service life of cast iron and ductile iron
watermains due to chloride infiltration in right-of-ways (i.e., accelerated corrosion). Such a
robust and holistic economic analysis can then support more strategic, financially sustainable
implementation policies for green infrastructure."

Let's work toward this sustainable implementation policies for all infrastructure - including green infrastructure - considering costs and strategic goals and specific performance outcomes. Low impact development implementation costs in the order of $600,000 per hectare, as shown through local and other jurisdictions, are simply not sustainable on a broad, system-wide basis.

RJM

***

September 2019 Update

Additional projects have been reviewed in Ontario and a couple have been added from Edmonton, Alberta.  The resulting average cost per hectare (area-weighted) is $581,000.  The following table presents a summary of cost per LID type (porous/permeable pavement, rain garden/bioletention, bioswale and infiltration/exfiltration).


The Ontario/Alberta costs now represent almost 8 hectares of catchment area, close to the EPA BMP database catchment area for projects with costs data (middle column).  Note that the Ontario/Alberta project costs may include several types of LID types in the treatment train.

Short Duration Frequent Rainfall Show No Change in Southern Ontario IDF Design Intensities - No Change in Averages Suggests No Change in Extremes

It is often stated that changes in average conditions are an indicator of changes in extreme conditions. This makes sense for rainfall statistics as a change in typical conditions, such as an increase in rainfall intensities, can be accompanied by higher extreme values as well (i.e., the whole distribution shifts). Since extreme values are somewhat elusive to those recording rainfall intensities at Canadian climate stations - that is, they are rare and may not be readily observed in short records or sparsely-spaced climate stations - we can look at the trends in the more abundant and frequent short duration rainfall statistics as an indicator of where the extreme values are heading.

The following table summarizes trends in short duration rainfall intensities for long term Southern Ontario climate stations (below latitude of 44 degrees). Stations have at least 30 years of record. The change in 2-year 5 minute rainfall intensity and 5-year 10 minute rainfall intensity have been calculated using a starting point of then Environment Canada's 1990 IDF tables (obtained from Environment and Climate Change Canada in 2017), and an ending point of the Version 2.3 Engineering Climate Datasets.

Climate change rainfall
Change in average and frequent rainfall intensities in southern Ontario.
The review indicates that there has been no increase in frequent short duration rainfall intensities. In fact the most frequent 2-year (i.e., average), 5-minute duration rainfall intensities have decreased somewhat. This is welcome news considering the potential for frequent storms to cause erosion in southern Ontario streams. This also suggests that extreme rainfall intensities have not changed as a result of the average rainfall intensities changing. That is, there is no consistent shift in the average rainfall intensities at long term climate stations.

The Insurance Bureau of Canada and the Institute for Catastrophic Loss Reduction have reported that average rainfall intensities have shifted by an entire standard deviation (thus making extreme 40 year storms become more frequent 6 year storms) - this has been refuted by Environment and Climate Change Canada (see Canadian Underwriter editor's note). The data in the above table indicate no such shift.

It is a commonly held belief that rainfall intensities have increased dramatically as a result of climate changes effects. Recently the Globe and Mail reported "It is hard to ignore the growing relationship between climate change and the resulting impact of severe flooding events." .. actually its hard to explain the role of changing climate given rainfall intensity data in some regions. It may be best to ignore rainfall and focus on other flood risk drivers like urbanization and intensification.

Datasets from Environment and Climate Change Canada refute the belief that rainfall is becoming more extreme.

***

The following tables show the 2 to 5 year IDF trends for 5 to 10 minutes (first table), and 5 to 10 year trends for 1 hour and 2 hours (second table)



1990 (pre-version 1) IDF Dataset Worksheets have been prepared for Ontario stations:
Ontario Disk 1 Volume Tables :




https://drive.google.com/open?id=0B9bXiDM6h5ViWV9HeXZIWDZxTXM
Ontario Disk 2 Volume Tables :




https://drive.google.com/open?id=1vhaXcC3MidpgHCmSbXdgqy53pUyAXu0g
Ontario Disk 3 Volume Tables :




https://drive.google.com/open?
id=0B9bXiDM6h5ViZVpJMEZzWnNDV28
Ontario Disk 4 Volume Tables :




https://drive.google.com/open?id=0B9bXiDM6h5ViZEVoOE8xT0oyZ2M


University of Guelph Research Shows Lower Spring Flooding With Global Warming, No Change in Rainfall, and Explains Urban Flooding Due to Urbanization - Not Climate Change Effects

Research from the University of Guelph has shown that climate change has reduced spring flooding risk (exponential growth in frost-free days with more recharge and less snow pack / spring melt) and that summer flow changes are due to urbanization, not changes in precipitation.

The presentation below summarizes the research and is entitled "Disentangling Impacts of Climate & Land Use Change on Quantity & Quality of River Flows in Southern Ontario" - the authors, Trevor Dickinson and Ramesh Rudra from the University of Guelph clearly see the need to clarify drivers for flow changes and to avoid the common media mistake of associating all extreme hydrologic conditions with climate change and omitting changes that may lower risks (like spring flooding in some watersheds).



Research indicates:
1) Monthly and Annual Precipitation has remained unchanged (see slide 7)
2) Temperatures have risen 'mostly in the winter' (see slide 13 - 14), meaning summer maximum temperatures that are typically associated with extreme rainfall have not increased, or have decreased
3) Extreme daily maximum temperatures have decreased (slide 14)
4) Increased winter temperatures mean more steady winter runoff, more infiltration and "Decreased Snowmelt Floods" (see slides 24 - 31)
5) Urbanization increases runoff coefficients (slide 36-37) and:

" So … in Ontario urban watersheds: - urban development has augmented the winter and spring climate change impacts; and - summer flow volumes have increased dramatically, in volume and frequency, these impacts being completely due to urban development."

The big take away is that urbanization is a key driver for summer river flows in Southern Ontario, but climate change is not - this is supported by trends in the Engineering Climate Datasets (version 2.3) that show twice as many statistically significant decreasing Southern Ontario trends as increasing ones.

This analysis is consistent with review by others showing change in minimum temperatures but no change in summer maximum temperatures. For example, the Ontario Centre for Climate Impacts and Adaptation Resources reviewed climate change trends for several stations - for Ottawa airport, between 1939 and 2014, the average winter minimum is up by 2.5 degrees Celcius and average winter mean is up 2.2 degrees. But the summer maximum is flat - no change. While the summer mean temperature is up by 0.5 degrees, this is due to increases in minimum temperatures, which were up by 1.1 degrees. These graphs from the Centre show the difference in winter temperatures changes and summer temperatures changes:

Winter temperatures have increased with climate change - Ottawa, 1939-2016

Summer maximum temperatures (middle chart) have NOT increased with climate change - Ottawa, 1939-2016. Changes in mean temperature are driven by changes in minimum temperatures.
Those who point to the Clausius-Clapeyron equation and a greater water vapour holding capacity at higher temperatures as a driver for climate change-induced flooding in urban areas should reevaluate their position, and consider the data on maximum temperatures. Since there is no increase in summer maximum temperature at some stations, the cause of flooding due to extreme rainfall cannot be greater water vapour holding capacity of the air - as research at the University of Guelph has shown, urbanization and not climate change is the key driver for changes in river flow. We can expect the same types of flow impacts beyond river systems and within municipal infrastructure systems, where urbanization and intensification have increases hydrologic stresses on systems even with no change to rainfall inputs.

The Ontario Centre for Climate Impacts and Adaptation Resources reviewed climate change trends for Hamilton as well. The following charts show the same relative temperatures changes as Ottawa:
Hamilton winter temperature has increased the most due to climate change.

Hamilton summer temperatures have increased at only a fraction of the winter increase.
 The Hamilton summer maximum temperatures increase (0.4 degrees in 40 years from 1970 to 2010) is only a fraction of the winter maximum increase (1.8 degrees in 40 years). The 0.4 degree increase in summer maximum would translate into less than a 3% change in water vapour holding capacity over 40 years. A review of research in another post has shown that temperature increases have not resulted in extreme rainfall increases across Canada - see post here.

Urbanization has increased significantly in Southern Ontario since the mid 1960's as shown in this post - this includes Hamilton growth:



In the Toronto area, where the University of Guelph assessed changes in runoff and linked these to urbanization as opposed to climate change, growth has also been significant since the mid 1960's. The following table shows changes in Toronto-area watersheds where urbanization increased from 59% to 986% over a perido of about 35 years. Compared to theoretical temperature-induced water vapour changes changes of a few percentage, if any at all, urbanization clearly explains higher runoff stress and flood risk while climate change explains none of the risks.

Urban Growth in TRCA watersheds and Flood Risk Influence on Urban Flooding

Greater Toronto Area Urban Area Growth in TRCA watersheds and Flood Risk Influence on Urban Flooding

TVO Articles on Climate Change, Extreme Rainfall and Urban Flooding Omit Basic Fact Checking and Ignore Fundamental Engineering Principles

I have posted comments on three TVO Articles on the topic of climate change, extreme weather, urban flooding and resiliency of Ontario Cities. Readers of this blog will be familiar with the content. It gets a bit repetitive from article to article, only because the data gaps are the same old ones we always see on these topics.  BONUS: a recent TVO broadcast is reviewed at the end of this post.

1) How climate change is making storms more intense, Published on Apr 21, 2017 by Tim Alamenciak

https://tvo.org/article/current-affairs/climate-watch/-how-climate-change-is-making-storms-more-intense

My Comments:
This is absolutely incorrect. Environment and Climate Change Canada (ECCC) published in Atmosphere-Ocean in 2014 that there is "no detectable trend signal" in the Engineering Climate Datasets related to short-duration rainfall that causes urban flooding:


Windsor has the lowest level of service for floodplain protection (100 year storm) while other regions have Hurricane Hazel (over 500 year storm) - so Windsor / Essex region will flood a lot more that other places. Also Windsor has been effectively tightening up their sanitary sewers to prevent spills to the river (reduced combined sewer overflows (CSOs)) which means more stays in the sewers and can back-up basements in extreme weather. Its a tough trade-off when environmental protection (keeping sewage out of the river) means more sewage in basements.

This is a recent summary of ECCC data as well as studies my Ontario universities and major engineering consultants saying decreases in extreme rainfall in Ontario. In fact there are twice as many statistically significant decreasing trends as increasing ones in southern Ontario (per the version 2.3 Engineering Climate Datasets - links to ECCC data files are all provided on the slides:


This presentation to the Ontario Waterworks Association and Water Environment Association of Ontario's Joint Climate Change Committee does extensive myth-busting related to extreme rainfall and flooding and explore the true drivers to increased flood events (spoiler-alert: its engineering hydrology and hydraulics, not meteorology). It also shows how the Clausius-Clapeyron relationship (theory relating temperature to extreme rainfall) has been disproved by research at MIT, Columbia and the University of Western. Unfortunately, there are lot of opinions and high level statements that are made without data. This is a pervasive problem in the media. When fact checking does occur, Advertising Standards Canada, the CBC Ombudsman and Canadian Underwriters have all agreed that there is no change to extreme rainfall. Here are some examples of that:

More data / facts / details:

Windsor decreasing extreme rainfall trends (Engineering Climate Datasets version 2.3 Station ID 6139525) - decreasing for ALL storm durations, and statistically significant decreases for durations of 10 minutes, 2 hours, 6 hours and 12 hours:


CBC Ombudsman confirms with ECCC, and disputes insurance industry statements that we have more storms (see letter to me):

http://www.cityfloodmap.com/2015/10/bogus-statements-on-storms-in-cbcnewsca.html

That was in response to this story that had no fact-checking:


And which had this correction made based on ECCC and real data: "However, Environment Canada says it has recently looked at the trends in heavy rainfall events and there were "no significant changes" in the Windsor region between 1953 and 2012." Canadian Underwriter editors dispute insurance industry statement on more frequent / severe storms after fact-checking with ECCC:


"Associate Editor’s Note: In the 2012 report Telling the Weather Story, commissioned to the Institute for Catastrophic Loss Reduction by the Insurance Bureau of Canada, Professor Gordon McBean writes: “Weather events that used to happen once every 40 years are now happening once every six years in some regions in the country.” A footnote cites “Environment Canada: Intensity-Duration-Frequency Tables and Graphs.” However, a spokesperson for Environment and Climate Change Canada told Canadian Underwriter that ECCC’s studies “have not shown evidence to support” this statement."

We can explain most increased flooding by hydrological changes over the past 100 years (same rain a before but more runoff than before as urban areas have expanded drastically across GTA watersheds over the past 60 years):

http://www.cityfloodmap.com/2016/08/urbanization-and-runoff-explain.html

... and specifically here is are the changes in hydrology in southern Ontario cities including the Windsor area:


We can also explain increased flooding with hydraulics related to municipal drainage design (tanks to hold back water and protect beaches can back up into basements like in my Toronto "Area 32" engineering flood study report), and related to overland flow in 'lost rivers' that statistically explain the highest concentrations of reported basement flooding:


Basically, hydrologic stresses have increases (more runoff) and conveyance capacity has decreased (reduced CSO relief, tanks to protect beaches, blocked overland flow paths in old 'lost rivers'). Underpinned/excavated basements are now lower than before, closer to the crown of the sewer pipes in the street and more prone to sewage back-ups than before, with no change in rainfall extremes due to climate change.

Robert J. Muir, M.A.Sc., P.Eng.

Toronto


2) How climate change is already costing you money, Published on Nov 01, 2017 by Patrick Metzger

https://tvo.org/article/current-affairs/climate-watch/how-climate-change-is-already-costing-you-money

My Comments:

There are many false statements in this article and a lack of basic science, statistics or critical engineering considerations. I am a licensed Professional Engineer with extensive experience in extreme weather statistics and municipal infrastructure planning and design (26 years) - this article is like 100's of others, skimming the surface and missing the critical data and conclusions, reinforcing stale pundit talking points in the climate-change-echo-chamber. Please see below for what is wrong with the article.

Firstly, the article conflates climate and weather which have different temporal scales. Climate includes rainfall and precipitation over seasons, years and decades while weather related to flooding in urban areas involves rainfall over minutes and hours. So the cited increase in precipitation is irrelevant to urban flooding and insurance since precipitation trends over months and years do not govern the performance of infrastructure systems (storm sewers, sanitary sewers, drainage channels and overland flow paths) - that infrastructure is governed by extreme rainfall rates over minutes and hours. It is an undeniable engineering fact. And these short duration rainfall intensities are 'flat' across Canada according to Environment and Climate Change Canada, as published in Atmosphere-Ocean in 2014 - in fact ECCC stated that some regions have decreasing trends including the St Lawrence basin in Quebec and the Maritimes.

My own fact checking of the Engineering Climate Datasets (version 2.3 on the ECCC ftp site) shows twice as many statistically significant decreases in southern Ontario as increases, and for the critical shortest durations, no statistically significant increases at all. Here is a review of the typical insurance industry statements and the real data:


Over the past two weeks I have correspondence from 3 scientists at ECCC stating that the annual precipitation statistic (climate) is irrelevant to urban flooding and the short duration rainfall (extreme weather) is what we should be looking at - across Canada the relevant data shows 'no detectable trend signal'. TVO should check the background of those providing information for these articles to see if the academic and practical experience aligned with the technical topic being discussed.

It is too easy to just try and may headlines and exercise 'availability bias', 'anchoring bias' and other problem-solving short cuts with discussing extreme weather and flooding. It is more responsible to look at real data and fact-check articles because there is important public policy on climate adaptation and mitigation that relies on the proper characterization of the problems that we are solving. Blaming flooding on rainfall trends misdirects resources to mitigation when it should be focused on adaptation to yesterday's extremes (due to intrinsic design limitations in 50-100 year old infrastructure and land use planning). Chief economists at major banks have repeated IBC statements on extreme weather shifts with no fact checking whatsoever - the Sun, the Star, CBC and individual insurance companies have repeated it too without checking. They have been fact checking with ECCC recently though and the consensus is that there is no shift in extreme rainfall and IBC mixed up a theoretical future shift (of an arbitrary 'bell curve' no less) and had reported it extensively as a past observation by ECCC. ECCC has denied that their data shows any increase in severe weather with climate change.

Some examples of ECCC refuting insurance industry claims:

Ombudsman confirms with ECCC, and disputes insurance industry statements that we have more storms (see letter to me):


That was in response to this story that had no fact-checking:

http://www.cbc.ca/news/canada/windsor/more-than-half-of-homeowners-insurance-claims-stem-from-water-damage-broker-says-1.3291111

And which had this correction made based on ECCC and real data: "However, Environment Canada says it has recently looked at the trends in heavy rainfall events and there were "no significant changes" in the Windsor region between 1953 and 2012."

Canadian Underwriter editors dispute insurance industry statement on more frequent / severe storms after fact-checking with ECCC:


"Associate Editor’s Note: In the 2012 report Telling the Weather Story, commissioned to the Institute for Catastrophic Loss Reduction by the Insurance Bureau of Canada, Professor Gordon McBean writes: “Weather events that used to happen once every 40 years are now happening once every six years in some regions in the country.” A footnote cites “Environment Canada: Intensity-Duration-Frequency Tables and Graphs.” However, a spokesperson for Environment and Climate Change Canada told Canadian Underwriter that ECCC’s studies “have not shown evidence to support” this statement."

Lastly, the Clausius-Clapeyron relationship linking temperature to extreme rainfall have been shown to not hold up based on real observed data. This is a review of those findings in studies from MIT, Columbia and University of Western (in London and Moncton trends are flat, while in Vancouver there is less extreme rainfall at higher temperatures):


Its time for a lot more basic fact checking on climate change, extreme weather and flooding. There is too much 'thinking fast' and not enough 'thinking slow', as shown in this review of media reporting biases through the lens of Kahneman:

http://www.cityfloodmap.com/2015/11/thinking-fast-and-slow-about-extreme.html

Unfortunately, as Kahneman puts it ""People are not accustomed to thinking hard, and are often content to trust a plausible judgment that comes to mind.", American Economic Review 93 (5) December 2003, p. 1450

"Only the small secrets need to be protected. The big ones are kept secret by public incredulity."(attributed to Marshall McLuhan) .. .so true, especially when we rely on infographics and slogans and ignore basic data in our reporting.

Robert J. Muir, M.A.Sc., P.Eng.
Toronto


3) How Ontario cities battle climate change, Published on Dec 01, 2015 by Daniel Kitts

https://tvo.org/article/current-affairs/the-next-ontario/how-ontario-cities-battle-climate-change

My Comments:

Mr Adams is correct is questioning Mr Kitts 'facts'. Because the official national Engineering Climate Datasets show no detectable trend in extreme rainfall in Canada. This was published in Atmosphere-Ocean in 2014 and looks at the critical short duration rainfall rain intensities that drive urban flooding. Here is a review that explore that national data in detail, drilling down to Ontario and southern Ontario trends and showing why insurance industry statements on higher weather frequency shifts were exposed to be 'made up' (confusing arbitrary future predictions with past observations):


Citing IPCC is irrelevant in the context of urban flooding in Ontario cities .. IPCC's definition of 'heavy rainfall' is the 95% percentile of daily rain with in Toronto is about 29 mm of rain - that is big for 'climate' but tiny for 'weather'. Typically storms have to be 3 times that big to cause urban flooding and most new communities are designed to handle 100-year design storms with built-in resiliency measures / safety factors to handle larger storms (if we see a hockey stick and get more extreme rain in the future).

Recently I made presentation to the Ontario Waterworks and Water Environment of Ontario's Joint Climate Change Committee on city resiliency and adaptation. In it there is wealth of basic media myth-busting many would benefit from. It includes explanations of why we have more flooding from a quantitative engineering perspective, exploring hydrologic stresses and intrinsic hydraulic design limitations in 50-100 year old infrastructure and land use planning:


It shows for example that 2017 Lake Ontario levels, while above average, were not very extreme looking back at 100 years of record (we exceeded past records by about 5 cm in some months which is naturally what happens with longer and longer records and the updated operating 'rule curves' for the lakes). It shows that the Richmond Hill GO Train was flooded in 1981 (just like 2013) in the exact same spot, even though the Ontario government suggests the 2013 flood was due to climate change. It shows that during the highest short duration rainfall recorded in Toronto in 1962 there was extensive basement and roadway flooding (this is not a new phenomenon at all). It shows numerous studies at the University of Guelph, University of Waterloo and major engineering consultants that Ontario extreme rainfall in decreasing and that extreme rainfall is not coupled to temperature changes. It shows significant urbanization in Oakville, Burlington and the rest of the Golden Horseshoe wince the 1960's and how we have paved up to the upper limit of the Burlington escarpment headwater watershed in that time - its hydrology that explains the increased flooding, not meteorology! This blog post shows the drainage paths in Burlington a little better than the OWWA WEAO presentation at the link above:


These change in hydrology and runoff potential are undeniable and dwarf any noise in the extreme rainfall statistics. The 'new normal' is in fact the 'old extremes' that we have always had .. the system response is more severe however with greater runoff into the same 50-100 year old infrastructure and confined channels along the lower portions of our watersheds. When it comes to urban flooding, only Milli Vanilli 'Blame it on the Rain'. Nobody cares about hydrology. Canada's greatest hydrologist Vit Klemes once lamented about this saying If you have not read it, please see his key note address to International Interdisciplinary Conference on Predictions for Hydrology, Ecology, and Water Resources Management: Using Data and Models to Benefit Society, entitled "Political Pressures in Water Resources Management. Do they influence predictions?"


Basically you could say that today on Ontario it is not unlike the communist Czech Republic that Dr Klemes describes in his address, where predictions (climate change) becomes prescriptions, despite the facts and data. And the media is so far out of touch that we cannot put the
genie back in the bottle and the government is playing along pretending to help solve problems while ignoring true causes.

As our Dr Klemes spoke in Prague:

"[the theorists] find it easier to play trivial scenario-generating computer games while the [managers] find these games much easier to finance... And so by happy collusion of interests, an impression is created that 'something is being done for the future' while the real problems are quietly allowed to grow through neglect of the present"

That is 100% correct. We are ignoring the present risks of today related to hydrology and blaming our flood problems on a climate change computer game (Weather Zoltar if you will). RIP Dr Klemes .. I still remember your guest lecture in our undergraduate class and wish you were around to speak truth to power on this topic.

TVO you have to raise the bar on this topic and demand basic fact checking especially given ECCC statements, corrections by Advertising Standards Canada, CBC Ombudsman, Canadian Underwriters ....

Robert J. Muir, M.A.Sc., P.Eng.
Toronto

***

Recently TVO aired a segment on extreme weather reporting and examined temperatures submitted by a viewer to show that Ottawa maximum temperatures have been decreasing using WeatherStats.ca data. See broadcast: https://www.tvo.org/video/climate-accuracy-activism-and-alarmism, and the transcript: https://www.tvo.org/transcript/2550125/climate-accuracy-activism-and-alarmism. This chart was questioned:


The TVO panelists could not comment on the source of the chart and dismissed it (even through the viewer had supplied TVO with the source). One panelist presented a chart on average temperatures (not maximum values) over a shorter period and seemed to imply that any Ottawa trends were an anomaly. Here is that chart:



What does the TVO panelist chart miss? Maximum temperatures. The hot decades in the early 1900's. The following chart is based on Environment and Climate Change Canada's homogenized and adjusted data - they do not produce annual maximum daily temperatures so this picked the highest daily temperatures for each year, just like the TVO viewer charted using WeatherStats.ca data. Here is the official data maximums:



Note: title station number is 61005976 is corrected (previous version indicated 6105967) - May 7, 2022

There is the same pattern and decreasing trend that the TVO panels dismissed! Maybe instead of inviting just lawyers and doctors as its panelists TVO could invite some engineers to comment on data that is most relevant to our profession?

The following chart shows that for all Ontario stations with trend data available summers are not warming as much as the winters - and Octobers are getting colder.




In Ottawa, data from the Ontario Centre for Climate Impacts and Adaptation Resources shows winter temperatures increasing, driven by the minimum increasing (as noted in a previous post):


Winter temperatures have increased with climate change - Ottawa, 1939-2016

Yet summer maximum temperatures have not increased at all (centre chart) - the mean (left chart) is increasing due to the minimum (right chart) increasing:



Other locations across Ontario have decreasing annual maximum temperatures since the 1930's as well. In Toronto the moving average 30 year annual maximum temperatures have decreased since the 1920's - the periods including the 1930's had high maximum temperatures:

Note: legend updated label series May 7, 2022

Some Toronto temperatures changes may be explained by urban heat island (UHI) effects, meaning heat is absorbed by urban structures and surfaces, and is stored and radiated back. Research at the University of Toronto has suggested that UHI explains a portion of the temperature increase by comparing trends with other rural climate stations not affected by UHI (see Tanzina thesis 2009). Tanzina summarized trends in temperatures by season showing that summer warm days decreased at many Toronto-area stations (highlighted climate stations):



What about across Canada? Other major cities such as Calgary have had decreasing annual maximum temperatures trends as well. This chart shows data from weatherstats.ca which no increase in maximum temperatures:


Environment and Climate Change Canada's homogenized and adjusted data for Alberta show a trend similar to Ontario, meaning warmer mean temperatures due mostly to warmer winters and not summers. These are mean temperature trends by month:




So summers are slightly warmer considering the mean and warmer minimums. But the maximum temperatures in summer (July) have DECREASED, and so have October and November maximum temperatures:



So the month with the highest temperatures is having a decrease in maximum temperature. The chart at right shows climate normals for Calgary, with July temperatures being the highest. This is good news that maximum temperatures in the hottest month are declining according to the official national climate datasets.

Ross McKitrick found some similar trends looking across Canada: https://www.rossmckitrick.com/uploads/4/8/0/8/4808045/temp_report.pdf

Some of his take-aways:

"4. Over the past 100 years, warming has been stronger in winter than summer or fall. October has cooled slightly. The Annual average daytime high has increased by about 0.1 degrees per decade. 72 percent of stations did not exhibit statistically significant warming or cooling.

5. Since 1939 there has been virtually no change in the median July and August daytime highs across Canada, and October has cooled slightly."

***
How about a look at July maximum temperatures in the Toronto area? Are summers getting hotter?

The adjusted and homogenized data are available from Environment and Climate Change Canada: https://www.canada.ca/en/environment-climate-change/services/climate-change/science-research-data/climate-trends-variability/adjusted-homogenized-canadian-data.html

To review, follow the "Surface air temperature" link and download the monthly data, i.e., the file Homog_monthly_max_temp.zip that includes all station data. The data can be evaluated to show trends over 100+ years in several cases.

The following chart shows the maximum daily temperatures in July, averaging all days, for climate stations in Welland, Vineland, Hamilton, Toronto, Peterborough and Belleville including records up to 100 years (2019-2018):

Toronto Maximum Temperatures Climate Change


The Station IDs and names are as follows: 6139148,VINELAND; 6166415, PETERBOROUGH; 6158355, TORONTO; 6139449, WELLAND; 6150689,BELLEVILLE; and 6153193,HAMILTON.  Three stations have decreasing temperature trends and three have increasing trends. On average, over 100 years, the maximum July temperatures have increased by 0.17 degrees Celsius for these six stations.