Showing posts with label #flood. Show all posts
Showing posts with label #flood. Show all posts

GO Train flooded in 1981 too. Media misses mark suggesting new normal for extreme weather and flooding.

GO Train flood 1981
Stranded GO Train on Richmond Hill line in 1981 in Don River flood plain.
Does this stranded GO Train in the Don River valley look familiar?:

It should. The same thing happened on July 8, 2013 in the same place.

Back when you were rocking to Queen/Bowie Under Pressure for the first time, Metrolinx was getting to know the flood risks for the Richmond Hill line that started in the late 1970's. These rain line flood risks were documented in the flood inquiry report for Premier Davis.

GO Train flood 2013
Stranded GO Train on Richmond Hill line in 2013 in Don River flood plain.
Fast forward to May 28-29, 2013 and there was a bigger flood in the same place. But it happened at night so no trains, no issue.

Fast forward a bit more to July 8, 2013 and we get this: another stranded GO Train in the same place. Exactly the same place? Wow!

Hello McFly! It's Back to the Future. Too bad GO Trains do not fly away like modified DeLorians do.

Metrolinx had to explain the 2013 incident as an unprecedented event. In fact, it was not unprecendented flooding, or rainfall, but unprecedented judgement to not monitor flood levels at the Todmonden river gauge beside the tracks. A sensor has been in place since 1962 and real time sensors were in place online for years (e.g., TRCA Todmorden gauge).

Under pressure no doubt to explain how known safety risks could be ignored for its workers and passengers, Metrolinx would take a page from Milli Vanilli and 'Blame it on the Rain".

Climate change, or extreme rainfall, is a  quick and easy scapegoat for everything that has gone wrong in flood risk management or municipal drainage design over the past 50 to 100 years. But it does not explain incidents that should be managed as well-known operational risks. So 2013 was a big year for 'Blurred Lines", both for Robin Thicke and also for evidence-based, data-driven reporting on flood risk factors.

Today there is widespread misreporting that water level sensors were installed on the Don River after the flash flood of 2013. Perhaps extra sensors have been installed? The truth is that they have been in place for a long time.

If we are going to have effective solutions to flood risk mitigation, we have to accurate in characterization of flood causes, whether it was deficient Keating Channel dredging in the early 1980's or operational decisions in 2013. Otherwise we will "Blame it on the Rain" like Milli Vanilli and concoct misguided solutions to problems that do not exist. Solutions that could be worse than useless and miss real effective opportunities for risk mitigation.

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PS - the maximum short term rainfall intensity recorded at the long term climate station / rain gauge in downtown Toronto was in 1962 (22.4 mm over 5 minutes). It caused widespread flooding even when the city was not a fully developed or intensified as it is now. Flooding blocked roads and in my neighbourhood there were hundreds of flooded basements as well:


So there is not really a new normal for rainfall and flooding, just more of yesterday's extremes, accentuated with 24-hour cable news, 24-7 weather reporting, and cell phone videos to capture every popped manhole, soggy underpass, or puddle that occurs in a big storm.

Windsor and Tecumseh Flood Reporting Exposes Gaps in Media Meteorology Math and Memory

Reporting on the Windsor and Tecumseh flooding in September 2016 and August 2017 highlights the gaps in extreme weather reporting in Canada .. and amnesia regarding past events... and the unwillingness to explore other factors affecting flooding, like hydrologic changes.

The Facts: CBCNews reports 190 mm fell in Tecumseh 80.8 mm in Windsor

The Fishy: CBCNews reports "I've never seen anything that intense in the 35 years I've been in this region," (Tecumseh Mayor Gary ) McNamara said. "This is unprecedented."

But the event was not unprecedented in the region. Water resource management and civil engineering professionals know that the region has recently experienced a much greater storm. Even CBCNews reported on the anniversary of the Harrow Storm 27 years ago : they reported in July 2014 on the Harrow Storm of July19-20, 1989:

"A massive, stationary storm dumped 450 mm (17 inches) of rain on Harrow and Colchester South in the matter of hours in southwestern Ontario.|

The Facts: CBCNews reports 63.4 mm of rainfall fell at Windsor Airport

The Fishy: "That beat the record for that date in history, which was formerly 36.8 mm set back in 1973." ... this is a fishy statement because drainage systems are not designed to specific calendar day rainfall characteristics. In fact annual series of maximum daily, hourly, and 5 minute intensities are used to characterize weather. This is a typical headline-grabbing technique such as when the July 8, 2013 storm in Mississauga was reported to be triple the maximum record ... ummm... for a calendar day that usually does not receive hardly any rain. This inaccurate reporting sets up the 'anchoring bias' in the readers' perception of the rarity of the event.

The Facts: CBCNews reports the August 28, 2017 rainfall was a record "Windsor airport recorded a rainfall of 57.4 millimetres, shattering the old record of 43.2 mm of rain for Aug. 28 recorded in 1961."

The Fishy: Reporting records based on 'calendar day' is wrong. No rainfall statistics are derived based on calendar day for the purpose of analyzing extremes or designing infrastructure. Can you imagine if we designed bridges for the number of heavy trucks that cross them on August 28ths? That would be silly - it is easy to find the historical August 28 rainfall numbers, but it is meaningless to measure the severity of storms relative to that isolated calendar day record.

The Weather Network's Chris St. Clair says on the October 1, 2016 morning broadcast that the Windsor storm was "unprecedented" ... its not clear if he meant unprecedented for September 29th's, which is irrelevant, or unprecedented for the region on any calendar day which is plain wrong. In a later report he calls the rain event 'unbelievable'. The Weather Network started broadcasting in September 1988, so perhaps it should be aware of the Harrow Storm in 1989.

The Weather Network's Kim MacDonald reports that Tecumseh received twice its average monthy rainfall in 15 hours on the October 1, 2016 broadcast - this reporting is another example of an 'anchoring bias' - comparing a rainfall statistic to another statistic that is irrelevant to drainage design - no drainage systems are designed for monthly totals, instead they are designed based on annual extreme time series and derived extreme value statistics to project rare conditions that may have not even occurred yet. See our post on heuristic biases in rainfall reporting.

Kim MacDonald notes that 1700 flooded homes were reported in this 2016 storm. In the 1989 Harrow Storm CBCNews reported 2000 flooded homes. Unprecedented?

Big picture questions for Essex Region could include whether the 100 year regional storm design standard is big enough for the region. Other conservation authorities regulate to larger storms - Upper Thames uses the 250 year storm - most others use Hurricane Hazel, which is perhaps a 500 year storm. Other regions use large historical storms like the Timmins Storm. Perhaps it is time for the "Windsor Storm" based on the September 2016 storm.

Another question - are local flood hazard limits keeping up with hydrologic changes to the region over decades? We explore this for many Ontario cities here - but here is a map of the growth from the 1960's to late 1990's. Pink areas are expanded urban area.

Consider this: when your design standard is so low (Essex Region has the minimum 100-year flood standard in Ontario according to the Provincial Policy Statement on natural hazards), the importance of expanded development and intensification in existing development areas is an even more important factor when considering increased runoff and flood risk. Why? Because pervious land uses can absorb some fraction of 'small' 100 year storm but not much of the large storms used in other regions. Those using Hurricane Hazel design storms which saturate the ground with anecedent moisture conditions (US Soil Conservation Service AMC III conditions to be exact) do not have as significant an increase in runoff following development. Those using 100 year storm, like Essex Region, use the drier AMC II conditions in hydrologic models, meaning that the soil-vegetation surface can absorb relatively more ... until it is paved over.

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Check out previous posts on Windsor extreme rainfall:

Environment Canada corrects CBC story that storms are getting worse in the Windsor Region over decades.

Up until now Windsor Airport had decreasing extreme rainfall trends like most of southern Ontario, according to Engineering Climate Datasets. As summary is below. Here are more details.

climate change Ontario

Below are the underlying Windsor Airport trend graphs up to 2007 from Environment Canada (the highlighted durations of 10 minutes, 2 hours, 6 hours and 12 hours are the statistically significant decreasing trends ins annual observed maximum values - these correspond to the dark green cells in the table above):climate change Windsor
It will be interesting to see if companies offering sewer back-up insurance or overland flood insurance will pay for all claims related to this storm. Runoff rates obviously exceeded the drainage system capacity in many areas, meaning flood damages were due to surface water entering properties, which is excluded from most homeowner policies. Surface water flood damage endorsements are available from Aviva, Intact and RSA. Following recent extreme events, these companies have tried to clarify coverage exclusions to homeowners, encouraging them to sign up for overland, surface water flood coverage. It is unclear how state of emergency / disaster relief funding would offset insured and uninsured damage claims.

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Windsor/Essex Region rainfall design intensities were recently reviewed (see bottom of previous post) showing decreasing short duration trends considering data up to 2015, and greater decreases for frequent storms. A review of southern Ontario-wide intensity-duration-frequency (IDF) trends also shows consistent decreases for short durations and greatest decreases for smaller, frequent 2 Year storms (see previous post reviewing long term station trends in Engineering Climate Datasets).