A river water quality model integrated with a web-based geographic information system

被引:38
|
作者
Wang, XH
Homer, M
Dyer, SD
White-Hull, C
Du, C
机构
[1] Univ Cincinnati, Coll DAAP, Sch Planning, Cincinnati, OH 45221 USA
[2] Procter & Gamble Co, Miami Valley Labs, Cincinnati, OH 45253 USA
[3] Geosci & Planning Solut, Marietta, GA 30062 USA
关键词
risk assessment; United States; wastewater treatment plants; ArcIMS;
D O I
10.1016/j.jenvman.2004.11.025
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Scientists often use mathematical models to assess river water quality. However, the application of the models in environmental management and risk assessment is quite limited because of the difficulty of preparing input data and interpreting model output. This paper presents a study that links ArcIMS, a Web-based Geographic Information System (GIS) software to ROUT, a national and regional scale river model which evolved from the US Environmental Protection Agency ' s Water Use Improvement and Impairment Model, to create a WWW-GIS-based river simulation model called GIS-ROUT. GIS-ROUT is used to predict chemical concentrations in perennially flowing rivers throughout the continental United States that receive discharges from more than 10,000 publicly owned wastewater treatment plants (WWTPs). The WWTP chemical loadings are calculated from per capita per day disposal of product ingredients and the population served by each plant. Each WWTP, containing data on treatment type and influent and effluent flows, is spatially associated with a specific receiving river segment. Based on user defined treatment-type removal rates for a particular chemical, an effluent concentration for each WWTP is calculated and used as input to the river model. Over 360,000 km of rivers are modeled, incorporating dilution and first order loss of the chemical in each river segment. The integration of spatial data, GIS, the WWW, and modeling in GIS-ROUT makes it possible to organize and analyze data spatially, and view results on interactive maps as well as tables and distribution charts. The integration allows scientists and managers in different locations to coordinate and share their estimations for environmental exposure and risk assessments. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:219 / 228
页数:10
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