Water quality model for non point source pollutants incorporating bioretention with EPA SWMM

Gülbaz, Sezar

doi:10.5004/dwt.2019.24684

Cited by 15 publications

(8 citation statements)

References 33 publications

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“…Liu et al achieved the coupling of Mike SHE and Mike 11, and the COD and TP concentrations in Yanghe Basin were evaluated, which provided a foundation to control pollutants. The SWMM represents the internal coupling of the UWSM and 1D DWBM. , In the SWMM, the distributed UWSM is used to simulate pollutants generated on the upland watershed, whereas the 1D DWBM is applied to calculate the pollutant transport; however, the pollutant transport in the 2D regions is not calculated.…”

Section: Overview Of the Watershed Modelmentioning

confidence: 99%

Watershed Models: Review of Approaches, Challenges, and Opportunities

Jiang,

Shen

2023

ACS EST Water

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Watershed modeling is a crucial tool needed for understanding, evaluating, and predicting the adverse impact of water pollution. The watershed model can be divided into an upland watershed model (UWSM) and a downstream waterbody model (DWBM). Neither a single UWSM nor DWBM are able to accurately simulate the pollutant transport along with the surface flow in complex upland watershed−waterbody systems. Therefore, coupled UWSM and DWBM are more desirable. This study categorized the coupled UWSM and DWBM into external and internal coupling models. The coupling mechanism, numerical accuracy, computational efficiency, and applications of these coupling models are discussed. A dynamic bidirectional coupled model for environment simulation (E-DBCM) is consistent with the natural flood and pollutant transport processes, which can improve computational efficiency while maintaining simulation accuracy. Compared with the original coupling models, it possesses three advantages: (1) reasonable coupling mechanisms, (2) complete function, and (3) high efficiency and simplicity. E-DBCM is a potential watershed water environment model, which can be widely used if improved further. The findings of this review will help accurately and efficiently predict and manage pollutants worldwide.

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Section: Overview Of the Watershed Modelmentioning

confidence: 99%

Watershed Models: Review of Approaches, Challenges, and Opportunities

Jiang,

Shen

2023

ACS EST Water

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“…Pollutant build-up process Pollutants accumulate on the land surface during periods of dry weather and can be discharged into rivers via runoff during rain events. The accumulated pollutants are calculated using an exponential function (Gülbaz, 2019). It is considered that the pollutant accumulation follows an exponential curve that asymptotically approaches the maximum limit.…”

Section: Data Availability Statementmentioning

confidence: 99%

E-DBCM: A dynamically coupled upland and in-stream water quality model for watershed water quality simulation

Shen

Zhu²,

Jiang³

2022

Front. Water

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A dynamic bidirectional coupled modeling framework for water environment simulation (E-DBCM), including an upland watershed model (UWSM) and a two-dimensional (2D) downstream waterbody model (DWBM), is proposed. The UWSM is implemented to describe the rainfall-runoff and determine the pollutant load to downstream waterbodies, whereas the DWBM is used to simulate the pollutant transport and flood processes on downstream waterbodies. The UWSM and DWBM are spatially connected through a moving boundary, which can ensure the mass and momentum conservation. The proposed E-DBCM is verified using three case studies and the results indicate that the E-DBCM has satisfactory numerical accuracy, which can effectively reproduce the pollutant transport process and achieve satisfactory results. The water environment in Yanqi River Basin is assessed based on the proposed model. The simulated results are consistent with the measured data, indicating that the E-DBCM is reliable and the prediction accuracy can meet the requirements of engineering practices. Water is seriously polluted in this watershed, especially during peak tourist season when many pollutants are produced. Various measures should be taken to protect the water environment in this basin.

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“…The abilities of the SWMM model to predict water quality outflows from a bioretention system were tested by Gülbaz (2019). The model's flow predictions were calibrated with data observed from a large (40 m 2 ) laboratory‐scale impervious surface hydraulically connected to a large (0.23 m 2 ) bioretention column.…”

Section: Bioretentionmentioning

confidence: 99%

Urban stormwater characterization, control, and treatment

Rodak

Jayakaran

Moore

et al. 2020

Water Environment Research

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This review summarizes over 280 studies published in 2019 related to the characterization, control, and management of urban stormwater runoff. A summary of quantity and quality concerns is provided in the first section of the review, serving as the foundation for the following sections which focus on the control and treatment of stormwater runoff. Finally, the impact of stormwater control devices at the watershed scale is discussed. Each section provides a self-contained overview of the 2019 literature, common themes, and future work. Several themes emerged from the 2019 literature including exploration of substrate amendments for improved water quality effluent from stormwater controls, the continued study of the role of vegetation in green infrastructure practices, and a call to action for the development of new models which generate reliable, computationally efficient results under the physical, chemical, biological, and social complexity of stormwater management. © 2020 Water Environment Federation • Practitioner points • Over 280 studies were published in 2019 related to the characterization, control, and treatment of urban stormwater. • Studies on bioretention and general stormwater characteristics represented the two most common subtopics in 2019. • Trends in 2019 included novel substrate amendments, studies on the role of vegetation, and advancements in computational models.

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Water quality model for non point source pollutants incorporating bioretention with EPA SWMM

Cited by 15 publications

References 33 publications

Watershed Models: Review of Approaches, Challenges, and Opportunities

Watershed Models: Review of Approaches, Challenges, and Opportunities

E-DBCM: A dynamically coupled upland and in-stream water quality model for watershed water quality simulation

Urban stormwater characterization, control, and treatment

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