Showing posts with label @ont_eco. Show all posts
Showing posts with label @ont_eco. Show all posts

Sink, Swim or Tread Water - Ideas for Adapting Infrastructure to Extreme Weather

The Environmental Commissioner of Ontario published the ECO 2014 Annual Greenhouse Gas Progress Report.  An excerpt called "Sink, Swim, or Tread Water? Adapting Infrastructure to Extreme Events" explores extreme storms, and municipal and provincial responses, and opportunities. This post help explore some of those opportunities and offers direction on some inaccurate statements along the way.

New Normal (Same as Old Normal)

The document suggest a new normal in extreme rainfall:

"Ontario has always experienced storms; however, the province has recently faced more intense and frequent extreme weather, as well as unprecedented damage costs."

The facts are that the province has not faced more intense and frequent extreme weather, as shown in Environment Canada's Engineering Climate Datasets.  It is true damage costs have increased but that is due to other factors.

Ontario short term rainfall intensities are trending up and down and statistically not moving in any significant direction. Rainfall trends as can be found in the report at the following link:

https://www.dropbox.com/s/pxbuyz7sx3h7ln0/Final%20December%202011%20Draft%20Regional%20IDF%20Technical%20Report.pdf?dl=0

This report is "Methodologies to Improve Rainfall Intensity-Duration-Frequency (IDF) Estimates: A Southern Ontario Pilot Study" by Environment Canada Adaptation and Impacts Research Climate Research Division, December 2011.  See Section 6.1 entitled Trends in Precipitation and its Extremes in Southern Ontario, page 77 for the following:

“Significant increases, as well as decreases, were detected at some stations in a number of the extreme precipitation indicators. However, the majority of station trends were determined to be non-significant and no consistent geographical patterns for increases or decreases were observed across Canada. In most cases, the magnitude of the observed changes was also very small. These results are consistent with the daily Canadian extreme precipitation trend analysis of Zhang et al. (2001) and the Canadian component of global and North American trend analyses of daily precipitation extremes by Alexander et al. (2006) and Peterson et al. (2008), respectively.”

Regardless of this oversight on extreme rainfall trends, many of the topics of the ECO document are worth discussing because of the fact that damage costs are increasing is undeniable.

More recently Environment and Climate Change Canada summarized national rainfall trends and indicated no change in overall Ontario rainfall intensity or frequency:

http://www.tandfonline.com/doi/abs/10.1080/07055900.2014.969677#.VtzNp_krLGI

Trends in Canadian Short‐Duration Extreme Rainfall: Including an Intensity–Duration–Frequency Perspective, Mark W. Shepharda*, Eva Mekisa, Robert J. Morrisa, Yang Fenga, Xuebin Zhanga, Karen Kilcupb & Rick Fleetwoodc, pages 398-417, Published online: 19 Nov 2014. Using the same data, the table below shows slightly more decreasing trends in Ontario than increasing ones.

The table below shows more statistically significant decreasing in rainfall intensity than increases in intensity in Southern Ontario.



The insurance industry has fabricated rainfall intensity trends in their Telling the Weather Story publication, confusing theoretical predictions with real, factual, historical data and analysis, which may be confusing the Environmental Commissioner of Ontario:



Flooding Causes Serious Environmental Damages (Ironically Less Than Before)

The ECO document rightly notes that the 2013 storm resulted in "serious environmental damage" as the storm:

"overwhelmed wastewater treatment plants and stormwater systems; up to a billion litres
of sewage, as well as garbage and debris, were washed into Toronto’s rivers and Lake Ontario"

What is peculiar in this statement is that sewer infrastructure in the province under F-5-5 overflows less than it did before many pollution control plans were put into place, resulting in more insurance losses. This is documented in my neighbourhood's Municipal Class EA study where infrastructure to keep eastern beaches swimmable contributed to sewer back-up, and it applies to any sewage overflow regulator adjusted to keep more "poop in the pipe" (Hamilton's Sterling CSO regulator, etc.).

What is disappointing in the "serious environmental damage" statement is the narrow definition of "Environment" - it notes the spill's impacts to the aquatic food web but does not recognize the broader environment as defined in the Environmental Assessment Act, including the social environment and back-up effects on homeowners, and economic environment and insurance costs (damage claims and then higher premiums).

Further discussions on "environmental damages" should recognize that there are trade-offs between broader aspects of the environment. The role of F-5-5 and impacts to flood risks should be reviewed by MOECC as an opportunity to explore means to improve the boarder environment in the province.

Industry and Municipal Response to Changing Flood Patterns

It is noted that the insurance industry predicts premium rates will go up. They have.

What is not discussed is that the insurance industry is not set-up to efficiently assess urban flood risk. Because property and casualty insurers compete for business, and because the industry is fragmented with 20 companies sharing between

The ECO document suggests that municipalities are lacking guidance on future climate predictions and best management practices.  This is not the case. Design standards for GTA and Golden Horseshoe communities at the time of construction before 1980 are simply limited by today's standards. Storm sewers were designed for 2 to 5 year storms and no overland flow relief was provided as part of master drainage planning or subdivision grading. The drainage system capacity of many old systems must generally be doubled to meet a high standard of 100 year flow conveyance - the best management practices are pipe conveyance and storage for storm sewer networks. For sanitary sewer networks, the solution is extraneous inflow reduction, e.g, through mandatory downspout disconnection and capacity upgrades to handle extraneous infiltration from foundation drains connected to the sanitary system up to the mid 1970's. Future climate predictions are not a key unknown as sometimes design standard upgrades alone may be a 400% increase in built capacity.

The ECO document points to aging infrastructure built in the 1950's to 1970 and barriers to implementing Best Management Practices (green infrastructure) as the reason.  This is misguided as increased urbanization, lost overland flow paths, and lost sewage overflow relief capacity in the sewer system are the causes of increased damages and premiums. Futhermore, macro economic factors have reduced property and casualty insurer investment returns (previous double digit and now low single digit), causing them to no longer subsidize underwriting losses as they had done for decades, thus increasing premiums to cover actual costs.

The ECO should know that when it comes to storm infrastructure, 100+ year service life is not uncommon. Also no Municipal Class Environmental Assessment studies have identified aging infrastructure as a cause of flooding. What is missing in the ECO document discussion is that increasing levels of services alone account for the majority of infrastructure upgrade costs to manage flood risks.


The Inconvenient Truth - Rainfall in Canada Not More Extreme with Global Warming

Unless you only look at meteorology, and forget
hydrology, and ignore hydraulics, in which case you
may prove that you are dumb too.
It's not just inconvenient its down-right annoying! Because Environment Canada data shows storms are not getting worse, we have to really think, think hard about why flood damages have been increasing in Canada. Scientists are muzzled from speaking about their research it seems.

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

Well we'll show you some hard thinking Mr. Kahneman, you and your fancy Nobel Prize! Here goes:

OK. First let's explain Alberta 2013 flooding. Easy peasey lemon squeezey: they built stuff in the river flood plain, right in the floodway, and they built more and more and then the expected design floods arrived, in line with expected statistical probabilities, and so Calgary flooded. And High River flooded too. No surprise there. Done. QED. Next?

Let's use the scientific method to explain Toronto 2013 urban flooding outside of river flood plains. Why outside the flood plain? Because that is where over 95% of the flood damages occurred in 2013, 2005 and 2000 floods.

Canadian Insurance Company Ad
Hypothesis #1 - Storms are becoming more severe or occurring more often. That would be so easy to explain all the flooding, right? And the insurance industry said it was true, just like the advertisement for flood insurance to the right.

Experiment #1 - The insurance industry statement that weather events (and thunderstorms and extreme rain) that occurred every 40 years are now happening every six years has been thoroughly discredited as an inaccurate mistake based on theoretical speculation and no data. Some insurance companies have recently updated their advertisements to remove the statement. Environment Canada has advised the CBC on reporting inaccurate insurance industry statements that claimed more storms are happening now - CBC corrected their report.

But don't take CBC's word for it - "Trust No One" as Mulder would say - do your own research. That's what CityFloodMap.Com did over the holiday break. We created a host of resources for you to explore extreme weather trends across Canada including interactive maps, summary tables, bar charts, pie charts ... whew!

This is a link to a post with all the resources. Spoiler alert. Only a few percentage of Canadian climate stations show any 'non-random' increase in recorded extreme rainfall intensity or frequency, despite the fact that temperatures have clearly increased.

You may want to believe that storms have become more severe because:
  1. You have demonstrated heuristic biases in your reasoning around extreme rainfall and flooding, particularly Kahneman's defined anchoring bias, availability bias, and substitution bias.
  2. You operate a commuter rail line in Toronto and inflating the severity of extreme rainfall events would divert attention from unsafe operational practices, like sending a GO Train into a high risk flood zone that flooded even worse weeks before.
  3. It supports your ideological pursuit against greenhouse gas emissions if, like Milli Vanilli, you can Blame it on the Rain.
But back to Toronto flooding. We looked at the best rainfall records, screening out the less reliable short-duration monitoring periods and out-of-service climate stations. Here is what we have for rainfall trends in Ontario:

climate change Ontario
Ontario climate change trends in observed extreme storm intensity.
Southern Ontario has a lot of decreasing extreme rainfall trends, some are statistically significant, or strong, trends, including in Toronto and Windsor.  Ottawa Airport with 39 years of record had significant decreasing trends for short durations as well, but did not make the cut off.

Conclusion #1 - Are storms becoming more severe? Is that the cause of increased flooding? No. Environment Canada's official data does not support that hypothesis.

***

Hypothesis #2 - Toronto flooding is not explained by meteorology, but rather hydrology and increased runoff, and hydraulics and constrained flow capacity.

Experiment #2 - Back to 'thinking hard', or as Kahneman said in his book, 'thinking slow'.

First let's recognize that between rain and flooding there are several processes, runoff and flow. Many factors affect runoff volume and rate and more affect flow (i.e., the complex hydraulic capacity of sewer infrastructure and the overland flow system (lost rivers). The only Toronto homes that flooded directed due to rain did not have a roof. Homes flood when flow rates, driven by runoff, exceed the hydraulic capacity of conveyance systems, causing them to "back-up" and cause flooding.

We have proposed several causes of flooding to the Minister of the Environment and Climate Change in a letter this summer based on these processes. These included observations about hydrology and increased runoff, and the hydraulics of wastewater collection systems including documented flood impacts in the Municipal Class Environmental Assessment study in my neighbourhood, and observations about overland flood hazard regulation, including correlation with observed basement flood density. Getting a response was slow - we just received a thank you email that did not address the questions on extreme rain trends, and instead doubled down on the emissions strategy as the means to address flooding.

Conclusion #2 - The Truth is "Out There". So is the Ontario government. It does not want to consider the inconvenient truth that extreme rainfall is not increasing in Ontario, and so it has misdirected policy solutions to flooding.  We've always said there are good reasons to be concerned about global warming. But mitigating flood risks is not one of them, despite predictions of more extreme rainfall - as Yogi Berra said "It's tough to make predictions, especially about the future."

Even if storms become worse in the future, the fact that flood damages have already increased in Canada but extreme weather has not, means there are some hard questions to answer on real causes. Some are technically hard, like simulating and calibrating hydrologic and hydraulic models to determine infrastructure constraints and upgrades. Cities are doing that. Some are politically hard, like regulating overland flow systems (lost rivers) in developed communities. Some are administratively hard, like expanding the Ministry of Natural Resources and Forestry and Conservation Authority mandates beyond valley natural hazards, and combining with Ministry of Municipal Affairs or Intrastructure ministry interests. These last two are in the hands of the Ontario government.  But unfortunately Kahneman is right, as people are not accustomed to thinking hard, increasing rainfall is a plausible judgment.

Toronto GO Train Flood Avoidable July 8, 2013 - Worse May 29, 2013 Flood Ignored



Could the stranded GO Train in Toronto's Don River valley have been avoided on July 8, 2013? Could use of known flood risk mapping and real-time flood level monitors avoided the near catastrophe? Yes. And yes and yes. In fact, on May 29, 2013 flooding was deeper but the peak at 5 a.m. missed the trains!

It is likely that if there had been fatalities among the 1400 GO Train passengers, Metrolinx employees or Toronto's first responders, the Ontario government would have called an inquiry (see clipping at right). The Ministry of Labour, who recognizes the occupational health and safety hazards of flooding,  would likely have found that Metrolinx failed to identify known workplace hazards or identify safe work practices for its employees.

And that provincial inquiry would have revealed that:

GO Train Stranded Flood Toronto
Mock Go Train Drowning Inquiry newspaper clipping.  This near miss could
have been fatal to passengers, Metrolinx workers, or first responders.
i) flood risk of the rail line was known to be frequent from available flood hazard maps and reports (best and most frequently updated hydrologic modelling of flows and hydraulic modelling of flood levels in Canada actually),

ii) July 8, 2013 observed flow rates and flood levels were not rare or unexpected from a flood risk management perspective - i.e., could have been anticipated - in fact, on May 29, 2013, just 40 days and forty nights before the incident, flood levels peaked 20 cm higher,

iii) monitoring real-time flood levels were rising rapidly upstream of and beside the flood site could have guided train dispatchers to not send the 5:30 train (GO Transit 835) into the flooded Don River valley,

iv) train frequency increase (more than rain frequency) contributed to the near tragedy, and increased risk exposure as the number of Richmond Hill trains on this line doubled since 1996,

v) any tragedy that occurred was avoidable.

Inquiries get to the bottom of risk issues following deaths. For example, the Walkerton Commission of Inquiry has resulted in a comprehensive risk management strategy for managing drinking water risks in Ontario. But this was only after Walkerton’s drinking water system was contaminated with deadly bacteria, seven people died, and more than 2,300 became ill. The goal of the Inquiry was to answer questions:
GO train Flood
GO Train Flood July 8, 2013 - Toronto Don River Valley
  • What actually happened?
  • What were the causes?
  • Who was responsible?
  • How could this have been prevented?
  • How do we make sure this never happens again?
Let's look at the same questions in the context of the Metrolinx Richmond Hill train flood incident in 2013.

What Actually Happened?

The GTA Don River Watershed (correction to original post Jan.2, 2016) received up to 126 mm of rainfall on July 8, 2013.  That is a lot of rain and runoff was high, resulting in flood warnings and high flood levels at the Don River flood monitoring stations.

River levels at the upstream East Don River flood level monitoring site (TRCA's East Don at York Mills HY022 gauge) were already rising when the previous by "5:00 pm" train level Union Station. Upstream flood levels were even higher when the stranded "5:30" train, Go Transit 835, left Union Station - this warning sign was not used by Metrolinx to assess the risk to their route further downstream.  Graphs are generated from TRCA's online archive.

Go Train Flood Toronto
Recorded East Don River at York Mills Flood Levels July 8, 2013 (per TRCA)
5:30 Richmond Hill GO Train departed Union Station after upstream flood levels has already risen rapidly.

Why did the 5:30 train leave when the upstream flood levels pointed to potential risks?
What Were the Causes?
Metrolinx GO Train frequency has doubled from 3 to 6 return
trains per day from Union Station to Richmond Hill since 1996.

Cause 1). Train frequency has doubled over the past 19 years, increasing exposure to flood events.

The Richmond Hill GO Train service started in 1978 and frequency has increased.  In 1996, service was cut to 3 trains per day while currently there are 6 trains during the afternoon / evening period (a 100% increase in risk exposure).

GO Train flood Toronto
Train operation was halted or detoured during previous Don River floods
as documented in the 1981 Flood Inquiry Report.
Cause 2). The track floods frequently due to summer storm events (or spring melt).

The Keating Channel Flood Inquiry Report for Premier Davis in 1981 documented frequent flooding decades earlier, even when urbanization of the Don River Watershed was not as intense as it is now.

Cause 3). Water levels rose to expected design flood levels on July 8, 2013, but measurements were ignored / not considered.

The key concern here is that design flood levels experienced on July 8, 2013 were not rare (see footnote 1 on correlation of storm vs. flood severity).  The 2-year return period flood level is 79.45 metres near the Evergreen Brick Works, across from the flooded GO Train site. In common terms, this flood level can be expected every 2 years, and so over a long period, it has a very high risk of occurring (about 17 times between the start of service in 1978 and the flood of 2013).

Higher safety-risk flood levels of one metre higher are not rare from a flood risk management perspective.  Even a higher 10-year flood level (80.41 metres) has a 88% risk of happening at least once over 20 years. This is illustrated on the graph below which compares expected design flood levels, risk of reaching these levels over time, and actual real-time flood levels recorded July 8, 2013. These design flood levels are from a Evergreen Brick Works presentation and, a site located beside the stranded train location - the Brick Works has a comprehensive flood risk management strategy.
GO Train Flood Toronto
Recorded Don River Flood Levels at Todmorden July 8, 2013 (per TRCA).
Design Flood Levels per MMM (2008) per Evergreen’s Urban Watershed Forum 2015.
Flood risks were known. Upstream flood levels had risen. Local flood levels were rising.














So, the causes include more frequent trains travelling through a highly flood prone part of the Don River valley, and the operator Metrolinx having ignored measured flood levels.

Surprisingly - even higher flood levels were recorded on May 29, 2013 but trains missed this peak due to timing. The May 28, 2013 Union Station departures occurred before the rise in flood levels and the May 29, 2013 Richmond Hill trains arrived near Todmorden after the peak flood levels has subsided (GO Transit may have modified schedule). The maximum track flooding on May 29, 2013 appears to be 20 cm deeper than on July 8, 2013 - rainfall in East York was over 40% greater.
Worst GO Train Flood Toronto
May 29, 2013 flooding is deeper than July 8, 2013 flooding based on TRCA Todmorden Flood Monitoring Gauge.
The May 29, 2013 flood would have flooded tracks by almost 2 metres.
GO Trains appear to have missed peak flood depths by departing before and after peak flood level occurred.

Worst Metrolinx Flood
May 29, 2013 flood flow rates at the incident site higher than July 8, 2013 flood flows by 10 cubic metres per second.
TRCA from Todmorden Flood Monitoring Gauge
GO Train Flood
May 29, 2013 Flood Levels Worse Than July 8, 2013
But even May 29, 2013 flood levels were not unprecedented according to Toronto Police.  That flood closed the Don Valley Parkway, left it covered in mud and according to reports by City News:

“I haven’t seen flooding on the Don Valley Parkway like this,” Toronto police Staff. Sgt. Brian Bowman told Breakfast Television. “One of my officers had, back in 1986. He saw it reach the top of the [concrete] jersey barriers, so it’s not unprecedented.”

Not only were flood levels July 8, 2013 not rare, flows were below common design flow rates (see footnote).

Who Is Responsible?

In Ontario, everyone is responsible for safety in the workplace. Employers and employees have a role. Reports suggest that Metrolinx, the employer, did not receive TRCA flood warnings and did not make use of monitored flood levels in the watershed to inform its operations. Perhaps it did not understand the workplace hazards on the Richmond Hill line.

GO Train Flood Safety
Ontario Ministry of Labour identifies drowning and other risks associated
with flooding.
After the incident, Metrolinx dismissed the value of TRCA flood warnings saying to the National Post “Because the TRCA flood warning was fairly general, it only has limited value,” said Greg Percy, the Metrolinx vice president of infrastructure. It is understandable that weather warnings do not always translate into actual flood conditions.  But Metrolinx did not acknowledge the use or value of measured flood levels, including those upstream on the East Don tributary and those adjacent to the flood-prone tracks at the nearby Todmorden flood monitoring gauge.

Evergreen Brick Works beside the stranded GO Train site has a flood
emergency plan and its building are flood proofed. Brick Works reported
higher flooding in May 2013 than July 2013 on their site.
It would appear Metrolinx was responsible for not assessing workplace hazards for its employees and customers.  Also, it did not develop safe work practices and procedure that would allow it to identify flood risks and take appropriate action (cancel service, substitute buses instead of trains, divert to Barrie line, etc.). Employers like Evergreen Brickworks have had flood emergency planning in place for many years as the location is known to be highly flood prone.

TheStar.Com reported two days after the July 8, 2013 incident that stranded customers were offered $100 as compensation and Mary Proc, GO vice-president for customer service said "It is an exceptional gesture for an unprecedented circumstance." She did not acknowledge that while the inconvenience to passengers was unprecedented, the flood levels were not. She added “That was a night of firsts for us: The first time we had a month of rain in one night; the first time that any customer had to wait seven hours to be moved off a train, and the first time we deployed boats to take our customers off a train.” She did not acknowledge that more rain, more runoff volume, higher flow rates and higher flood depths occurred on May 29, 2013, or that a month of rain in one night is not an uncommon design event for prudent flood risk management. GO Transit (@GOTransit) did Tweet about Richmond Hill line disruptions at 3 a.m. on May 29, 2013 suggesting perhaps they are aware of flood conditions on the line before scheduled morning trains:



How Could This Have Been Prevented?

The East Don flood level graph above showed that the Don River had risen quickly by 5:30 p.m.. The graph below shows that flood levels where the train was stranded had risen nearly half way between the normal water level and the track level by 5:30 p.m..  By the time the stranded GO Train approached the Brickworks at 5:45 p.m., the real time level monitoring would have shown the Don River flood levels approaching the track - see graph below.  But these levels were not used by Metrolinx.

Go Train Flood
Track level is below the frequent flood zone (2-year flood). The 5:30 p.m. Richmond Hill GO Train departed when upstream and local flood levels were rising. The GO Train was stranded at 5:45 p.m. when flood levels were at frequent flood levels - not even up to the 2-year flood level of 79.45 m.

This accident could have been prevented by having operational procedures included checking monitored flood levels and modifying service to avoid sending trains onto flooded tracks.

How Do We Make Sure This Never Happens Again?

GO Train Flood
Environmental Commissioner mistakenly links GO Train flooding to
climate change, ignoring known risk factors, watershed conditions,
and operational gaps contributing to flood risk and damages.
According to the Environmental Commissioner of Ontario, the commuter train flooding is a symptom of climate change (Feeling the Heat: Greenhouse Gas Progress Report 2015 Media Release).

Obviously that is not an informed statement. By linking the GO Train incident to climate change and suggesting that risk mitigation efforts relate to emissions controls, the fundamental causes, responsibilities, and potential solutions to the near tragedy have all been grossly ignored.

To ensure this never happens again Metrolinx has had to suffer through 'near miss' in occupational safety terminology. Putting on a positive spin at their September 10, 2013 customer service update, Metrolinx suggested they received as many commendations as complaints (perhaps the commendations were directed to first responders?).  Metrolink also highlighted the 126 mm of rainfall in the "Toronto area", failing to note that record was at Pearson Airport in the Etobicoke Creek watershed, not the Don River watershed where GO Transit 835 was stranded. Also Metrolinx would look at several areas of concern including:

  • "identifying high risk areas,
  • improving customer messaging systems, and
  • upgrading the early warning storm warnings."


GO Train Flood Toronto Metrolinx
Metrolinx Customer Service Report September 2013 refers to 'massive' and 'record' storm as causes to the serious incident.

Metrolinx could identify high risk areas by reading the Flood Inquiry report from 1981 (a real Inquiry for Premier Davis ... not the mock one at the start of this post).  It identifies railway line damage and flooding during ice-free conditions (i.e., no ice blockage of bridges) during the "Great Flood" on September 13, 1878, the spring of 1914, and during two storms in 1980 (March and April). Limited flooding was also reported on May 11, 1981 including the area of the Bayview Extension and the Toronto Brick Yards (the stranded GO Train location near the Evergreen Brick Works).  The report indicates that train operation has halted, or trains were detoured during floods, including December 25, 1979, January 11, 1980, March 21, 1980, April 14, 1980, February 11, 1981 and May 11, 1981.

go train flood
Example historical flooding in vicinity of stranded GO Train during July 8, 2013 flood (1981 Inquiry report Table 1).
According to the 1981 Flood Inquiry report, during the March 21, 1980 flood "Part of the CNR track flooded to the north and east of a point south of Bloor Street."  The 20 hour low intensity spring storm produced high runoff as ground in the watershed was partly saturated and frozen.  This area north of Bloor Street corresponds to the location of the July 8, 2013 Go Train flood.  During the April 14, 1980 flood, after a 5-6 hour period of rain, CNR tracks at the Bloor Street ramp were flooded. The GO Train was stranded just east of where the Bloor Street ramp connects to the Bayview Ave.

GO Train Flood Passenger Swimming
GO Train / GO Transit 835 passenger swimming from
stranded train in Don River valley.
The following summer on June 26, 2014 InsideToronto.Com reported "Metrolinx is crediting recent improvements to its flood monitoring protocol in lessening the impacts to morning GO Transit commuters following a severe rainstorm." Metrolix reported that "Three GO trains en route to Union Station were also diverted from the Richmond Hill to the Barrie rail corridor to avoid the flooded tracks.".  This was after a moderate storm described as an "event which dropped some 50 millimetres of rain in the Don Valley alone, according to Environment Canada.". A 50 millimetre rainfall event is less severe than a common 5 year / 12 hour event, or  10 year / 6 hour event, meaning the track did, does and will flood frequently.


GO Train Flood
It is unlikely that Metrolinx would admit that the July 8, 2013 flood was a common design condition for flood risk management, and that it was perhaps just lucky in its complacency / ignorance - May 29, 2013 flooding less than 6 weeks earlier was worse. Fortunately complacency is no longer the case and it is rerouting trains after even moderate design storms such as on July 26, 2014, June 22/23, 2015, October 28, 2015.......

A post below to the blog www.thiscrazytrain.com has a comment from an apparent operator indicating that the flooding of the tracks was indeed frequent and that the operating procedures have now changed.

Anonymous said...

Back when I started as long as we could still see the rails we used to drive through that like it was nothing. Now the second the water starts touching the rails an automatic system declares an 'emergency' and the whole line is shut down. Not saying that's the right or wrong way, but its interesting how times have changed.






*******
Footnotes:
1 - Correlations of Storm Severity vs. Flood Level Severity.  How could a record amount of rain have been recorded on July 8, 2013 but not a rare design flood level in the Don River flood plain?  The answer is that record amounts of rain did not occur everywhere across the Don River watershed - conservatism in flood risk management and planning assumes extreme rainfall occurs over the entire watershed. The record rain occurred over one small part of the watershed, such that the resulting flow rates were not extreme, having less than 10 year return periods. So while the record rainfall had a 100 year return period somewhere beyond the Don River watershed (Pearson Airport in the Etobicoke Creek watershed), on average, overall, July 8, 2013 was less severe over the large Don River watershed. The video at the very bottom of the post shows the July 8, 2013 storm pattern from historical radar over the approximate Don River watershed area.

GO Train Worst Flood
Worse Flooding May 29, 2013
The May 29, 2013 flood resulted in a higher flood level at the Todmorden monitoring station.  As reported by the Globe and Mail, less than half the July 8, 2013 rainfall fell on Toronto that day "In all, Toronto and the area north received up to 60 millimetres of rain before the downpour eased at around 6 a.m. No injuries or serious traffic accidents were reported." Our correction to that report is that at the Toronto East York Dustan climate station (ID 6158751) a higher 73.6 millimetres of rainfall was recorded (late on May 28, 2013 before the flood levels and flows crested the next day).

Half the rainfall and worse flooding? Yes. Welcome to the world of hydrology where the anecedent soil moisture conditions, and the temporal and spatial patterns of storms over watersheds affect the cumulative runoff volume which can influence the peak flow and peak water levels as much as any local 'spot' measurement of rainfall.

Toronto North York July 8, 2013
Rainfall Just Half Mississauga
Record Rainfall
On July 8, 2013, the rainfall across the Don River watershed was variable with much lower totals in the mid portion of the watershed. The Environment Canada historical climate archives show that the Toronto North York climate station (ID 615S001) measured only 65.8 mm of rain on July 8, 2013, just over half the Pearson record; the Toronto East York Dustan climate station (ID 6158751) measured only 51.4 mm of rain, less than half the Pearson total. Summary tables are shown below and at right (click to enlarge).

Despite this fact of lower, non-record Toronto-proper rainfall, the CBC reported the July 8, 2013 GO Train incident as a top weather story of 2013 saying:

"When you look at the amounts of rain that fell ... it was like Toronto was the bull's eye," said Phillips, who described it as "a direct hit with a drenching rain storm."

Toronto East York July 8, 2013
Rainfall Just Half Mississauga
Record Rainfall
The CBC News has mistaking described record rainfall in Mississauga (Pearson climate station location) and in the Etobicoke Creek watershed with moderate rainfall in Toronto in the Don River watershed (where the GO Train was stranded).  A watershed map is provided below.

The May 28-29, 2013 storm that caused higher flows and higher flooding on the GO Train tracks dropped 43% more rain than July 8, 2013 in the mid portion of the watershed according to the Toronto East York Dustan climate station records.

The CBC News story also fails to recognize the frequent flood-prone nature of the rail tracks where the GO Train was stranded. Such reporting is an example of "anchoring or focalism", the cognitive bias per Nobel Memorial Prize in Economics winner Daniel Kahneman, in which people rely too heavily on the first piece of information present (Pearson/Mississauga rainfall record) when it is in fact irrelevant to Toronto/Don Watershed flooding.

Here is a summary of mid watershed rainfall (East York), and flows and water levels (Todmorden monitoring site near the stranded GO Train site) for the May 2013 and July 2013 floods:

Date                      East York Rainfall      Peak Flow     Peak Flood Level
May 28-29, 2013           73.4 mm               190+ cms              80.9 m
July 8-9, 2013                51.4 mm               180+ cms              80.7 m

From a design storm perspective the recorded flow rates on May 29 and July 8 were low to moderate. The chart below from TRCA's Don River hydrology report shows a range of design flows from drought conditions, to average yearly peaks, up to rare storms considered for flood hazard management and design in Ontario. At less than 200 cms, both the 2013 peak flood flows were less extreme than the one-in-five-year design flow, a frequent design flow that has a 20% (1/5) chance each year of being exceeded.



Trends in Canadian Short‐Duration Extreme Rainfall Data Contradict Insurance Bureau Statements

Rain intensity data in Canada show "lack of a detectable trend signal", despite recent statements by the Insurance Bureau of Canada ("Extreme weather events driven by climate change have increased in frequency and severity," said Don Forgeron, President and CEO, IBC, at a November 26, 2015 Economic Club of Canada event in Edmonton).

In this post we explain the rainfall intensity trend information available in Version 2.3 of Environment Canada's Engineering Climate Datasets, released in December 2014. That data is available here:

ftp://ftp.tor.ec.gc.ca/Pub/Engineering_Climate_Dataset/IDF/

(September 2, 2019 - the above ftp site is no longer - Version 3.00 IDF Files may be accessed here: http://climate.weather.gc.ca/prods_servs/engineering_e.html; the Version 2.30 trend file  "idf_v2-3_2014_12_21_trends.txt", is available here: https://drive.google.com/open?id=0B9bXiDM6h5ViQ0xnSDR2cUl3WXc)

The "What's New" document describe "A new set of graphs that represents the historical trends of IDF properties has been produced for each station".  These trend graphs have been featured in many posts on the www.cityfloodmap.com blog. Could it be scientists in Canada are muzzled from getting these facts out as that do not support climate change mitigation policies (cap and trade, Bill 172)? If storms are no worse, why look at emissions to address flooding?

The document Notes_on_EC_IDF.pdf available in Environment Canada's doc.zip package, entitled "Documentation on Environment Canada Rainfall Intensity-Duration-Frequency (IDF) Tables and Graphs Version V2.30 December, 2014", describes this new trend data in the appendix as follows:

Appendix: Trend Graphs

Trend graphs are included in release V2.30. The single station rainfall annual maximum series (AMS) were examined for any detectable trend, at a significant level 5%, for each of the durations examined. Figure A-3 is an example of such trend plots. The open circles in each plot represent the AMS rainfall amounts for the duration analyzed. These data are usually very scattered representing the variability of the climate. For most stations, the AMS does not feature any significant trends (Trend: N) but in some instances, an increasing (Trend: +) or decreasing (Trend: -) with time are noticeable. The slope with confidence levels are given in each duration plot.

The method and implications for trend analyses of IDF stations across Canada were reported in the paper: Mark W. Shephard, Eva Mekis, Robert J. Morris, Yang Feng, Xuebin Zhang, Karen Kilcup & Rick Fleetwood (2014): Trends in Canadian Short-Duration Extreme Rainfall: Including an Intensity-Duration-Frequency Perspective, Atmosphere-Ocean, DOI: 10.1080/07055900.2014.969677


So let's look at some trend indicators "+","-" and"N" for actual gauges.  The Toronto City gauge has decreasing rainfall intensity trends for all durations from 5 minutes to 24 hours.  The following mark-up shows that the 5 minute to 2 hour duration trends are flagged as "Trend :N", meaning not statistically significant. For longer durations, 6, 12 and 24 hours durations on the bottom three charts, the trends are flagged as "Trend :-", where the "-" means statistically significant. So some Toronto rainfall trends are decreasing to a large degree that is beyond the intrinsic variability expected in observed rainfall.
Climate Change Toronto
Toronto weather station 6158355 has decreasing extreme rainfall trends for all durations since 1940.
Over longer storm event durations, the decreasing storm intensity is statistically significant.
The noted Atmosphere-Ocean paper summarizes the Canadian extreme rainfall trend analysis in the abstract. Highlighted text below shows that there is no statistically significant trend overall in Canada, with the exception of parts of Newfoundland for durations of 1 - 2 hours:

Abstract
Short-duration (5 minutes to 24 hours) rainfall extremes are important for a number of purposes, including engineering infrastructure design, because they represent the different meteorological scales of extreme rainfall events. Both single location and regional analyses of the changes in short-duration extreme rainfall amounts across Canada, as observed by tipping bucket rain gauges from 1965 to 2005, are presented. The single station analysis shows a general lack of a detectable trend signal, at the 5% significance level, because of the large variability and the relatively short period of record of the extreme short-duration rainfall amounts. The single station 30-minute to 24-hour durations show that, on average, 4% of the total number of stations have statistically significant increasing amounts of rainfall, whereas 1.6% of the cases have significantly decreasing amounts.
However, regional spatial patterns are apparent in the single station trend results. Thus, for the same durations regional trends are presented by grouping the single station trend statistics across Canada. This regional trend analysis shows that at least two-thirds of the regions across Canada have increasing trends in extreme rainfall amounts, with up to 33% being significant (depending on location and duration). Both the southwest and the east (Newfoundland) coastal regions generally show significant increasing regional trends for 1- and 2-hour extreme rainfall durations. For the shortest durations of 5–15 minutes, the general overall regional trends in the extreme amounts are more variable, with increasing and decreasing trends occurring with similar frequency; however, there is no evidence of statistically significant decreasing regional trends in extreme rainfall amounts. The decreasing regional trends for the 5- to 15-minute duration amounts tend to be located in the St. Lawrence region of southern Quebec and in the Atlantic provinces. Additional analysis using criteria specified for traditional water management practice (e.g., Intensity-Duration-Frequency (IDF)) shows that fewer than 5.6% and 3.4% of the stations have significant increasing and decreasing trends, respectively, in extreme annual maximum single location observation amounts. This indicates that at most locations across Canada the traditional single station IDF assumption that historical extreme rainfall observations are stationary (in terms of the mean) over the period of record for an individual station is not violated. However, the trend information is still useful complementary information that can be considered for water management purposes, especially in terms of regional analysis.

The following chart by CityFloodMap.Com aggregates all the trend indicators in the version 2.3 dataset, counting combinations of trend slope and statistical significance as follows:

  • "Trend :-",    slope negative : Significant Decrease
  • "Trend :N",  slope negative : Decrease
  • "-99.9" :                                 No Data
  • "Trend :N",   slope positive : Increase
  • "Trend :+",   slope positive : Significant Increase
Climate Change Canada
Across Canada, only a few percentage of weather stations have significant increases in recorded extreme rainfall, for any given duration of storm. IDF curves based on these overall stable trends would not change over time.

The Toronto City ("Bloor Street gauge") rainfall trends would fall into the light green "Decrease" range for 5 minutes, 10 minutes, 15 minutes, 30 minutes, 1 hour and 2 hours, and fall into the dark green "Significant Decrease" range for the 6 hour, 12 hour and 24 hour durations.

It is interesting to review the Pearson Airport gauge data trends given the record setting rainfall on July 8, 2013 that caused widespread urban flooding in Toronto. Even with the significant 2013 rainfall event, the 5 minute, 6 hour, 12 hour and 24 hour trends are negative, but not statistically significant, as indicated by the "Trend :N" flag. The 10 minute to 2 hour duration trends are positive but not statistically significant.

The confidence limits show that while there may be upward trends in the 15 minute extreme rainfall amounts - the slope is +0.02 mm/year - there is also a chance that the trend is downward by a significant amount (lower confidence band is  -0.12 mm/yr). This help illustrate why the positive trend is not statistically significant, as rainfall patterns are highly variable and minor trends can occur due to the random nature of observations.

 Many factors affect flood risks and damages, and those related to runoff have increased over decades in many Canadian cities.  For example the Don River Watershed has increased in the amount of impervious, high-runoff cover from 15% in the 1950's to nearly 90% today and many overland flow paths, critical for conveying overland flow during extreme events, have been blocked or constrained. 

In general, the Insurance Bureau of Canada has not relied upon data to make weather statements and has instead relied on theoretical statements, confusing projections with observations, and substituting temperature probability density functions with severe rainfall distributions:


"Without knowledge action is useless and knowledge without action is futile."
Abu Bakr

Let's hope that IBC can improve knowledge of Environment Canada's Engineering Climate Datasets including the new trend analysis available - this is needed to better inform inaccurate statements on extreme rainfall trends and to focus instead on important flood risk factors. Cap and trade climate mitigation won't help reduce flooding because storms are not getting worse - so the government should focus on infrastructure upgrades in areas built before the 1980's (most cities), i.e., areas with lower levels of service in drainage design.

***

Here is a list of Ontario weather stations where the measured annual maximum 15 minute storm duration intensities are decreasing:     

Station ID Name
    6020LPQ ATIKOKAN (AUT)                                        
    6037775 SIOUX LOOKOUT A                                       
    6041221 CARIBOU ISLAND                                        
    6046770 PUKASKWA NATL PARK                                    
    6056907 RAYNER                                                
    6059408 WAWA (AUT)                                            
    6068158 SUDBURY SCIENCE NORTH                                 
    6073980 KAPUSKASING CDA ON                                    
    6079068 UPPER NOTCH                                           
    6084307 LAKE TRAVERSE                                         
    6085700 NORTH BAY A                                           
    6100971 BROCKVILLE PCC                                        
    6101901 CORNWALL ONT HYDRO                                    
    6104027 KEMPTVILLE CS                                         
    6104146 KINGSTON A                                            
    6104175 KINGSTON PUMPING STATION                              
    6105978 OTTAWA CDA RCS                                        
    6106000 OTTAWA MACDONALD-CARTIER INT'L  A (significant trend)              
    6107836 SMITHS FALLS TS                                       
    6110557 BARRIE WPCC                                           
    6111792 COLLINGWOOD                                           
    6112072 DORSET MOE                                            
    6116132 OWEN SOUND MOE                                        
    6116843 RAGGED RAPIDS                                         
    611E001 EGBERT CS                                             
    6127514 SARNIA AIRPORT                                        
    6133362 HARROW CDA AUTO                                       
    6135638 NIAGARA FALLS                                         
    6136606 PORT COLBORNE                                         
    6137287 ST CATHARINES A                                       
    6137362 ST THOMAS WPCP                                        
    6137730 SIMCOE                                                
    6139525 WINDSOR A                                             
    6140818 BLUE SPRINGS CREEK                                    
    6140954 BRANTFORD MOE                                         
    6149625 WOODSTOCK                                             
    6142286 ELORA RCS                                             
    6151042 BURKETON MCLAUGHLIN                                   
    6153194 HAMILTON A                                            
    6154820 MAIN DUCK ISLAND                                      
    6155722 OAK RIDGES                                            
    6155790 ORANGEVILLE MOE                                       
    6158355 TORONTO CITY                                          
    6158406 TORONTO BOOTH                                         
    6158665 TORONTO ISLAND A  (significant trend .. so is 5 minute and 10 minute storm duration)    
Climate Change Ontario                                    
    6158732 TORONTO LESLIE EGLINTON                               
    61587PG TORONTO SENECA HILL                                   
    6158875 TRENTON A                                             
    6166418 PETERBOROUGH A                                        
    6166450 PETERBOROUGH STP                                      
    6169453 WEST GUILFORD  


Extreme rainfall trends in Canada (Environment Canada Engineering Climate Datasets) are documented in the following posts:

Static Maps: http://www.cityfloodmap.com/2015/12/severe-storm-trends-canada-rainfall.html

Interactive Map: http://www.cityfloodmap.com/2015/12/canadian-extreme-rainfall-map-climate.html

Table Summaries: http://www.cityfloodmap.com/2015/12/canadian-extreme-rainfall-summary-by.html

Chart and Table: http://www.cityfloodmap.com/2015/12/top-weather-story-in-canada-2015-less.html

Long-term Station Table: http://www.cityfloodmap.com/2015/12/long-term-climate-change-short-term.html

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

Contradicting Insurance Industry Claims: http://www.cityfloodmap.com/2015/12/trends-in-canadian-shortduration.html

Canada Climate Change