Abstract Best management practices (BMPs) are being
implemented to reduce nonpoint sources pollution in China
and worldwide. The effectiveness of individual BMPs is
usually assessed through controlled experiments. Field evaluation
of the effectiveness of a great majority of BMPs is
limited by cost of implementation, site-specific response, and
length of time needed to document reliable response. Nonpoint
source pollution (NPS) models are increasingly relied
upon to estimate water quality response to BMP implementation.
This study has developed and tested a tool for estimating
the effectiveness of BMPs in controlling NPS
pollution by collecting and analyzing existing data from previous
studies. It includes 60 BMPs grouped into six classes.
Data from combined soil and slope analyses were used to
design a BMP effectiveness estimator driven by hydrologic
soil groups and slope classes using Visual Basic for Applications
and Structured Query Language. This tool includes
five primary functions, namely: (1) effectiveness assessment
for single or combined BMP, (2) statistical analyses for BMP
effectiveness; (3) informational inquiry about individual
BMPs; (4) updating and editing the BMPs database; and (5)
external expansion as new information becomes available.
The tool was tested and validated for BMPs selection in a
27.28 km2 watershed, located within the upper watershed of
the Miyun Reservoir in Beijing. Results demonstrate that the
tool can be served as an efficient and easy tool for identifying
potentially useful BMPs in agricultural areas in China.
Overall, this will also allow water environmental professionals
to make more confident and accurate BMP recommendations
and manage watersheds more effectively.
Keywords BMP effectiveness database Reduction
effectiveness Nonpoint source pollution Visual Basic
Abstract Best management practices (BMPs) are beingimplemented to reduce nonpoint sources pollution in Chinaand worldwide. The effectiveness of individual BMPs isusually assessed through controlled experiments. Field evaluationof the effectiveness of a great majority of BMPs islimited by cost of implementation, site-specific response, andlength of time needed to document reliable response. Nonpointsource pollution (NPS) models are increasingly reliedupon to estimate water quality response to BMP implementation.This study has developed and tested a tool for estimatingthe effectiveness of BMPs in controlling NPSpollution by collecting and analyzing existing data from previousstudies. It includes 60 BMPs grouped into six classes.Data from combined soil and slope analyses were used todesign a BMP effectiveness estimator driven by hydrologicsoil groups and slope classes using Visual Basic for Applicationsand Structured Query Language. This tool includesfive primary functions, namely: (1) effectiveness assessmentfor single or combined BMP, (2) statistical analyses for BMPeffectiveness; (3) informational inquiry about individualBMPs; (4) updating and editing the BMPs database; and (5)external expansion as new information becomes available.The tool was tested and validated for BMPs selection in a27.28 km2 watershed, located within the upper watershed ofthe Miyun Reservoir in Beijing. Results demonstrate that thetool can be served as an efficient and easy tool for identifyingpotentially useful BMPs in agricultural areas in China.Overall, this will also allow water environmental professionalsto make more confident and accurate BMP recommendationsand manage watersheds more effectively.Keywords BMP effectiveness database Reductioneffectiveness Nonpoint source pollution Visual Basic
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