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contributor authorAshok Pandit
contributor authorGanesh Gopalakrishnan
date accessioned2017-05-08T21:23:07Z
date available2017-05-08T21:23:07Z
date copyrightOctober 1997
date issued1997
identifier other%28asce%291084-0699%281997%292%3A4%28211%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/49392
description abstractThe Continuous Simulation Method (CSM) has been used to predict average annual total nitrogen storm-water loads, under wet-weather conditions, for various sites in Tampa, Florida. Predicted loads are compared to those predicted by other existing “spreadsheet” models, namely the Storm Water Management Model (SWMM) Level I—Preliminary Screening Procedure, the Simple Method, and the U.S. Geological Survey (USGS) Regression Model. Comparisons showed that the USGS Regression Model predictions were vastly different from those of the other models. The predictions by SWMM Level I, the Simple Method, and the CSM were closer, although there were substantial differences under certain conditions. Of the four models, the CSM provides the greatest flexibility to a model user; it has the capability to (1) model different soil types within a watershed; (2) model loading variations due to geographical (location) and demographic (land use and cover) differences between watersheds; and (3) simulate confidence intervals around the predicted average annual loads.
publisherAmerican Society of Civil Engineers
titleEstimation of Annual Pollutant Loads under Wet-Weather Conditions
typeJournal Paper
journal volume2
journal issue4
journal titleJournal of Hydrologic Engineering
identifier doi10.1061/(ASCE)1084-0699(1997)2:4(211)
treeJournal of Hydrologic Engineering:;1997:;Volume ( 002 ):;issue: 004
contenttypeFulltext


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