Statistics for stochastic modeling of volume reduction, hydrograph extension, and water-quality treatment by structural stormwater runoff best management practices (BMPs)

GSTDTAP > 地球科学

DOI	10.3133/sir20145037
报告编号	2014-5037
	Statistics for stochastic modeling of volume reduction, hydrograph extension, and water-quality treatment by structural stormwater runoff best management practices (BMPs)
	Granato, Gregory E. ggranato@usgs.gov
	2014
出版年	2014
页数	50
语种	英语
国家	美国
出版者	U.S. Geological Survey
领域	资源环境;地球科学
英文摘要	The U.S. Geological Survey (USGS) developed the Stochastic Empirical Loading and Dilution Model (SELDM) in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater concentrations, flows, and loads to be above user-
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来源平台	US Geological Survey (USGS)
引用统计
文献类型	科技报告
条目标识符	http://119.78.100.173/C666/handle/2XK7JSWQ/8896
专题	地球科学资源环境科学
推荐引用方式 GB/T 7714	Granato, Gregory E. ggranato@usgs.gov. Statistics for stochastic modeling of volume reduction, hydrograph extension, and water-quality treatment by structural stormwater runoff best management practices (BMPs):U.S. Geological Survey,2014.