Buyers Guide 2010

Technology and Information Management

Tools for stormwater managers and hydrologists

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By Carol Brzozowski

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When it comes to addressing stormwater management problems and dealing with the permitting process of the National Pollutant Discharge Elimination System (NPDES), stormwater managers and hydrologists have more tools in the toolbox these days than ever before. Software programs can help municipal managers with hydrologic/hydraulic modeling, and new technologies are available for water-quality monitoring and pipe inspection.

While such tools come at a cost, those who work in stormwater management say they derive a return on the investment through the confidence the technology gives them to make predictive statements about flooding and accurately plan for future capital improvement projects.

Austin’s Flood Early Warning System
Case in point: Austin, TX, which has been given the moniker “Flash Flood Alley.” The city’s annual rainfall is about 40 inches. However, as Susan Janek notes, “We have some extreme rises in the watersheds when it rains and have had deaths in some of these watersheds, particularly in some of our urban watersheds. We have had people literally swept downstream.” Janek is an engineer with the Watershed Engineering Division of the city’s Watershed Protection and Development Review Department.

Mitigating those flooding problems was a major impetus for adopting a Vieux software system, Janek says. Vieux provides products for rainfall monitoring as well as for hydrologic modeling and analysis.

Austin, an NPDES Phase I community, invested in RainVieux and Vflo technology in 2004 to develop and manage its Flood Early Warning System by obtaining more accurate information about the region’s rainfall patterns. RainVieux uses both radar data and rain gauge data to provide more accurate rainfall estimates, and that information can be input into the distributed hydrological model Vflo.

“It’s extremely useful from a modeling perspective,” says Janek. “We have hazard areas in Austin. We have known in the past about areas in Austin neighborhoods that will need to be evacuated due to flooding, and there’s not a lot of time to mobilize forces to get people out. Investing in this technology helps provide us with the time tool to make us better forecasters and be more responsive first responders.”

The technology merges Doppler information with that from the gauge network and re-aggregates it over a square kilometer, creating hydrographs.

Based on a previous experience in which a radar site went down during a severe weather event, Austin has since added redundant radar feeds, so that if one radar site goes down, the RainVieux technology will shift to another, Janek adds.

Austin also uses a feature that attaches a flood threat level number to each of the sub-basins in the watershed.

“If we have been using information on our rainfall frequency that’s been reestablished by the United States Geological Survey [USGS], we can very easily obtain a threat number on a
watershed based upon the average rainfall a basin has received over a set period of time. That’s a useful tool for us from a flood warning standpoint,” says Janek.

That information is used to help pull up maps that may show, for example, a watershed with a threat level of 3, enabling Austin officials to determine which areas are flooded, which roads should be closed, who may need to be evacuated, and what the approximate floodplain boundary might be for a threat level of 3, 4, or 5.

Janek says Vflo has proven to be “very stable” and has worked well in the environment to which it is applied. “We’ve developed models in association with Vieux for a good number of our watersheds,” she says. “Prior to doing this, we entered into agreements with the USGS for the construction, maintenance, and development of a full range of rating curves for 28 USGS gauging stations on our urban watersheds.

“We use those as forecast points for the Vflo model. What the Vflo model can do is, as we have a storm progressing, every 15 minutes it will give us a new forecast on a particular forecast point. Our models are calibrated, and they track very closely to the USGS gauge readings.”

For some of the area’s watersheds, flood-warning time has been improved by as much as an hour. For some larger watersheds—where the potential for evacuation has been substantial—forecasting time can be improved by as much as four hours.

“That’s pretty phenomenal for us to be able to do that,” says Janek.

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The models run continuously on an Internet site hosted by Vieux. “They’ve created a visual interface on their Web site,” she says. “If we get a storm, we have a watch or warning level based upon this predicted model. It will visually alert us or page us when we have a problem we need to address. That’s tremendous for us, because that does a lot in terms of us getting advanced warning out on something we feel confident about. It’s one thing to issue an advanced warning; it’s another thing to have some confidence in that forecast.”

Austin has rain and stream-level sensors that provide information on what’s occurring at any particular point in time. Next Page >

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