globalchange  > 过去全球变化的重建
DOI: 10.3133/sir20145037
报告号: 2014-5037
报告题名:
Statistics for stochastic modeling of volume reduction, hydrograph extension, and water-quality treatment by structural stormwater runoff best management practices (BMPs)
作者: Granato, Gregory E. ggranato@usgs.gov
出版者: U.S. Geological Survey
出版年: 2014
发表日期: 2014
总页数: 50
国家: 美国
语种: 英语
中文主题词: 径流
主题词: RUNOFF
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-

URL: http://pubs.usgs.gov/sir/2014/5037/pdf/sir2014-5037.pdf
Citation statistics:
资源类型: 研究报告
标识符: http://119.78.100.158/handle/2HF3EXSE/44686
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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Recommended Citation:
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). 2014-01-01.
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