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Assessment of flood risk under futur...
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LaFond, Kaye M.
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Assessment of flood risk under future climate conditions.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Assessment of flood risk under future climate conditions./
作者:
LaFond, Kaye M.
面頁冊數:
174 p.
附註:
Source: Masters Abstracts International, Volume: 53-02.
Contained By:
Masters Abstracts International53-02(E).
標題:
Environmental engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1557414
ISBN:
9781303947902
Assessment of flood risk under future climate conditions.
LaFond, Kaye M.
Assessment of flood risk under future climate conditions.
- 174 p.
Source: Masters Abstracts International, Volume: 53-02.
Thesis (M.S.)--Michigan Technological University, 2014.
This item must not be sold to any third party vendors.
Global climate change is predicted to have impacts on the frequency and severity of flood events. In this study, output from Global Circulation Models (GCMs) for a range of possible future climate scenarios was used to force hydrologic models for four case study watersheds built using the Soil and Water Assessment Tool (SWAT). GCM output was applied with either the "delta change" method or a bias correction. Potential changes in flood risk are assessed based on modeling results and possible relationships to watershed characteristics. Differences in model outputs when using the two different methods of adjusting GCM output are also compared. Preliminary results indicate that watersheds exhibiting higher proportions of runoff in streamflow are more vulnerable to changes in flood risk. The delta change method appears to be more useful when simulating extreme events as it better preserves daily climate variability as opposed to using bias corrected GCM output.
ISBN: 9781303947902Subjects--Topical Terms:
548583
Environmental engineering.
Assessment of flood risk under future climate conditions.
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Global climate change is predicted to have impacts on the frequency and severity of flood events. In this study, output from Global Circulation Models (GCMs) for a range of possible future climate scenarios was used to force hydrologic models for four case study watersheds built using the Soil and Water Assessment Tool (SWAT). GCM output was applied with either the "delta change" method or a bias correction. Potential changes in flood risk are assessed based on modeling results and possible relationships to watershed characteristics. Differences in model outputs when using the two different methods of adjusting GCM output are also compared. Preliminary results indicate that watersheds exhibiting higher proportions of runoff in streamflow are more vulnerable to changes in flood risk. The delta change method appears to be more useful when simulating extreme events as it better preserves daily climate variability as opposed to using bias corrected GCM output.
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