Structural uncertainty in watershed phosphorus modeling: Toward a stochastic framework

Chen, Lei; Gong, Ya Dong; Shen, Zhenyao

doi:10.1016/j.jhydrol.2016.03.039

Cited by 8 publications

(2 citation statements)

References 35 publications

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“…The premise of establishing a semi-distributed model involves obtaining reliable and distributed hydrological simulation results since contamination processes are known to be associated with runoff processes [ 18 ]. MOPUS includes both a rainfall runoff model and a microorganism model.…”

Section: Introductionmentioning

confidence: 99%

A Semi-distributed Model for Predicting Faecal Coliform in Urban Stormwater by Integrating SWMM and MOPUS

Hou

Lei

Qiu

et al. 2019

IJERPH

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The microbial contamination of urban stormwater has an important impact on human health and stormwater reuse. This study develops an exploratory semi-distributed model, MOPUS_S, which can simulate faecal coliform levels in separate sewer systems in urban catchments. The MOPUS_S was built by coupling the SWMM model and the microbial MOPUS model. The parameters associated with the deposition and wash-off of microorganisms were more influential than those related to microorganism survival processes. Compared to other existing bacterial models, MOPUS_S showed comparable performance in predicting faecal coliform concentrations. The performance varied largely between rainfall events, with Nash-Sutcliffe efficiency (NSE) values ranging from −5.03 to 0.39 and R2 ranging from −0.02 to 0.83, respectively. The model simulation results for low and medium concentrations were better than those for the peak concentrations. Poor simulation results of peak concentrations obviously affect the overall model performance. In general, MOPUS_S could be capable of predicting the faecal coliform load in urban catchments and be a useful tool for urban stormwater management planning.

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Section: Introductionmentioning

confidence: 99%

A Semi-distributed Model for Predicting Faecal Coliform in Urban Stormwater by Integrating SWMM and MOPUS

Hou

Lei

Qiu

et al. 2019

IJERPH

Self Cite

View full text Add to dashboard Cite

show abstract

“…The SCS-CN model is adopted in this work because of its simplicity, stability and success in previous studies for runoff generation (Mishra & Singh, 2007). The models consider most of key watershed characteristics related to runoff generation, including land use, soil type and antecedent moisture condition (Chen et al, 2016). Infiltration models, such as Horton and…”

Section: Hydrologic Modelingmentioning

confidence: 99%

Hydraulic correction method (HCM) to enhance the efficiency of SRTM DEM in flood modeling

Chen

Liang

Liu

et al. 2018

Journal of Hydrology

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National-scale evaluation of phosphorus emissions and the related water-quality risk hotspots accompanied by increased agricultural production

Cheng

Chen

Zhai

et al. 2018

Agriculture, Ecosystems & Environment

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Structural uncertainty in watershed phosphorus modeling: Toward a stochastic framework

Cited by 8 publications

References 35 publications

A Semi-distributed Model for Predicting Faecal Coliform in Urban Stormwater by Integrating SWMM and MOPUS

A Semi-distributed Model for Predicting Faecal Coliform in Urban Stormwater by Integrating SWMM and MOPUS

Hydraulic correction method (HCM) to enhance the efficiency of SRTM DEM in flood modeling

National-scale evaluation of phosphorus emissions and the related water-quality risk hotspots accompanied by increased agricultural production

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