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AutoRAPID: A Model for Prompt Streamflow Estimation and Flood Inundation Mapping over Regional to Continental Extents
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Michael L. Follum Ahmad A. Tavakoly Jeffrey D. Niemann Alan D. Snow 《Journal of the American Water Resources Association》2017,53(2):280-299
This article couples two existing models to quickly generate flow and flood‐inundation estimates at high resolutions over large spatial extents for use in emergency response situations. Input data are gridded runoff values from a climate model, which are used by the Routing Application for Parallel computatIon of Discharge (RAPID) model to simulate flow rates within a vector river network. Peak flows in each river reach are then supplied to the AutoRoute model, which produces raster flood inundation maps. The coupled tool (AutoRAPID) is tested for the June 2008 floods in the Midwest and the April‐June 2011 floods in the Mississippi Delta. RAPID was implemented from 2005 to 2014 for the entire Mississippi River Basin (1.2 million river reaches) in approximately 45 min. Discretizing a 230,000‐km2 area in the Midwest and a 109,500‐km2 area in the Mississippi Delta into thirty‐nine 1° by 1° tiles, AutoRoute simulated a high‐resolution (~10 m) flood inundation map in 20 min for each tile. The hydrographs simulated by RAPID are found to perform better in reaches without influences from unrepresented dams and without backwater effects. Flood inundation maps using the RAPID peak flows vary in accuracy with F‐statistic values between 38.1 and 90.9%. Better performance is observed in regions with more accurate peak flows from RAPID and moderate to high topographic relief. 相似文献
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Rahman Humairat H. Niemann Danielle Munson-McGee Stuart H. 《Environmental science and pollution research international》2023,30(8):20147-20158
Environmental Science and Pollution Research - Lung cancer is one of the primary causes of death with poor life expectancy after diagnosis. History of past respiratory diseases such as asthma,... 相似文献
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Rahman Humairat H Niemann Danielle Yusuf Korede K 《Environmental science and pollution research international》2022,29(4):5496-5504
Environmental Science and Pollution Research - Arsenic is a known carcinogen and neurotoxin and is found in the natural earth crust. Arsenic exposure can develop depression, memory dysfunction, and... 相似文献
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Rahman Humairat H Niemann Danielle Munson-McGee Stuart H. 《Environmental science and pollution research international》2022,29(1):531-542
Environmental Science and Pollution Research - Exposure to metal pollution can be caused from inhalation, ingestion, or absorption from air, water, or food. Chronic exposure to trace amounts of... 相似文献
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Rahman Humairat H. Niemann Danielle Munson-McGee Stuart H. 《Environmental science and pollution research international》2022,29(36):54507-54517
Environmental Science and Pollution Research - Associations between environmental metals and chemicals and adverse human health effects have emerged recently, but the links among environmental... 相似文献