The cumulative probability distribution used to describe the variability of stormwater pollutant concentrations has been a matter of interest in recent years. Many predictive models attempt to estimate appropriate stormwater constituent concentrations based on land use and the amount of impervious area. The most important study that characterized stormwater was the Nationwide Urban Runoff Program (NURP) (EPA 1983). NURP was conducted throughout the U.S. and included about 2300 events from 1978 thru 1982. One of the conclusions of the final NURP report was that the event mean concentrations (EMCs) of stormwater constituents were described by lognormal distributions. This finding has been re-evaluated recently, with the conclusion that not al...
The trend of catchment urbanisation not only changes the rainfall-runoff processes but also has sign...
Stormwater quality modeling results are subject to uncertainty. Th e variability of input parameters...
Urbanization is a pressing issue that has largely contributed to quality degradation of our nation’s...
The cumulative probability distribution used to describe the variability of stormwater pollutant con...
A distributional analysis has been undertaken of the event mean concentrat ions (EMCs) of pollutants...
The StormTac Web model, representing a low-complexity conceptual model (LCCM), was applied to two ur...
Stormwater runoff pollution has become a key environmental issue in urban areas. Reliable estimation...
Urban stormwater non-point source pollutants are recognized as a major cause of receiving waters qua...
The Event Mean Concentration (EMC) is considered as a key analytical parameter for assessing the qua...
An existing accumulation and wash-off model was applied and calibrated on a standard asphalt parking...
The US EPA’s Stormwater Management Model (SWMM) was used to model stormwater runoff volumes and poll...
Urban land uses and their associated impervious cover increase the quantity and worsen the quality o...
Summarization: A computer program, runmean (runoffmean), was developed for estimating toxic contamin...
Paper by Philip B. Bedient, Jeff L. Lambert, Chris B. Amandes, and David P. Smit
There are a vast number of complex, interrelated processes influencing urban stormwater quality. How...
The trend of catchment urbanisation not only changes the rainfall-runoff processes but also has sign...
Stormwater quality modeling results are subject to uncertainty. Th e variability of input parameters...
Urbanization is a pressing issue that has largely contributed to quality degradation of our nation’s...
The cumulative probability distribution used to describe the variability of stormwater pollutant con...
A distributional analysis has been undertaken of the event mean concentrat ions (EMCs) of pollutants...
The StormTac Web model, representing a low-complexity conceptual model (LCCM), was applied to two ur...
Stormwater runoff pollution has become a key environmental issue in urban areas. Reliable estimation...
Urban stormwater non-point source pollutants are recognized as a major cause of receiving waters qua...
The Event Mean Concentration (EMC) is considered as a key analytical parameter for assessing the qua...
An existing accumulation and wash-off model was applied and calibrated on a standard asphalt parking...
The US EPA’s Stormwater Management Model (SWMM) was used to model stormwater runoff volumes and poll...
Urban land uses and their associated impervious cover increase the quantity and worsen the quality o...
Summarization: A computer program, runmean (runoffmean), was developed for estimating toxic contamin...
Paper by Philip B. Bedient, Jeff L. Lambert, Chris B. Amandes, and David P. Smit
There are a vast number of complex, interrelated processes influencing urban stormwater quality. How...
The trend of catchment urbanisation not only changes the rainfall-runoff processes but also has sign...
Stormwater quality modeling results are subject to uncertainty. Th e variability of input parameters...
Urbanization is a pressing issue that has largely contributed to quality degradation of our nation’s...