Modeling climate change effects on transport and fate of pathogens in an urban coastal area of Lake Michigan

被引:0
作者
Hamidi, Sajad Ahmad [1 ]
Bravo, Hector [2 ]
Mclellan, Sandra L. [3 ]
Lorenz, David [4 ]
机构
[1] Slippery Rock Univ, Dept Phys & Engn, Slippery Rock, PA 16057 USA
[2] Univ Wisconsin, Dept Civil & Environm Engn, Milwaukee, WI USA
[3] Univ Wisconsin, Sch Freshwater Sci, Milwaukee, WI USA
[4] Univ Wisconsin, Ctr Climat Res, Madison, WI USA
基金
美国海洋和大气管理局;
关键词
HYDROLOGIC EXTREMES; WATER TEMPERATURE; ESCHERICHIA-COLI; CHANGE IMPACTS; REGION; STORMWATER; FLOW; ICE;
D O I
10.2166/wcc.2024.605
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Infrastructure renewal and public health efforts require prediction of climate change effects on the occurrence of pathogens in the Great Lakes' urban coastal waters. This paper presents an investigation that addressed the climate change effects on transport and the fate of bacteria in Milwaukee's urban coastal area. This investigation was part of a study on climate change risks and impacts that included downscaling of climate change data for meteorological stations around Lake Michigan, and implementation of a hydrologic model that predicts tributary flows and bacteria loads. A method to select scenarios appropriate to link watershed and lake transport processes is presented. For the watershed, the sensitivity of bacterial loads with respect to changes in spring-season precipitation and air temperature is critical, while for lake transport, the most important driver is the wind field. Watershed and lake processes are linked by using spring-season watershed loading in the simulation of coastal transport. Scenarios for hydrodynamic modeling were developed by selecting climate projections that yielded high-and-low percentile projected spring-season wind speed. The patterns of bacteria transport showed significant changes under climate change conditions, and the changes in fecal coliform concentration at critical locations were explained by changes in current vector fields. HIGHLIGHTS Climate change impacts bacteria transport in the coastal region by developing a numerical model. Downscaling of climate change data for Lake Michigan. Hydrologic model that predicts tributary flows and bacteria loads under climate change scenarios. Sensitivity analysis of bacterial loads from tributaries due to climate changes. The patterns of bacteria transport due to changes under climate change.
引用
收藏
页码:1333 / 1348
页数:16
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