Use of Intercepted Runoff Depth for Stormwater Runoff Management in Industrial Parks in Taiwan

Chang, Chia-Hsuin; Wen, Ching Gung; Lee, Chih Sheng

doi:10.1007/s11269-008-9245-9

Cited by 22 publications

(6 citation statements)

References 13 publications

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“…Notably, a review of stormwater quality modeling tools other than SWMM was provided by Borah and Bera (2004). A variety of water quality constituents have been investigated using SWMM, including total suspended solids (TSS) (Borris et al 2014;Chang et al 2008;Chow et al 2012), nitrogen compounds (Burian et al 2001(Burian et al , 2002Chang et al 2008;Jia et al 2014), heavy metals (Borris et al 2014;Fallah Shorshani et al 2014), dissolved oxygen (DO) and biochemical oxygen Demand (BOD) (Kirshen et al 2014), and phosphorous (Chow et al 2012;Jia et al 2014). The water quality constituents considered in these studies are summarized in Tables 1 and 2.…”

Section: Water Quality and Transport Of Contaminantsmentioning

confidence: 99%

“…The purpose of water quality investigations using SWMM have included (1) determining the effects from nonpoint pollution (Jia et al 2014;Oraei Zare et al 2012;Choi et al 2006), (2) BMP/LIDs treatment (Chang et al 2008;Jia et al 2014;Oraei Zare et al 2012;Van der Sterren et al 2014), (3) air quality interactions (Burian et al 2001(Burian et al , 2002Fallah Shorshani et al 2014), (4) climate/land use change effects (Borris et al 2014), (5) first flush effects (Chang et al 2008;Ouyang et al 2012;Young et al 2010), (6) monitoring the program design (Talei et al 2010), (7) traditional stormwater management structure performance (Borris et al 2014), and (8) spatial resolution effects (Fallah Shorshani et al 2014;Park et al 2008;.…”

Section: Water Quality and Transport Of Contaminantsmentioning

confidence: 99%

See 1 more Smart Citation

Storm Water Management Model: Performance Review and Gap Analysis

Niazi

Nietch

Maghrebi

et al. 2017

J. Sustainable Water Built Environ.

175

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The storm water management model (SWMM) is a widely used tool for urban drainage design and planning. Hundreds of peerreviewed articles and conference proceedings have been written describing applications of SWMM. This review focuses on collecting information on model performance with respect to calibration and validation in the peer-reviewed literature. The major developmental history and applications of the model are also presented. The results provide utility to others looking for a quick reference to gauge the integrity of their own unique SWMM application. A gap analysis assesses the model's ability to perform water-quality simulations considering green infrastructure (GI)/low impact development (LID) designs and effectiveness. It is concluded that the level of detail underlying the conceptual model of SWMM versus its overall computational parsimony is well balanced-making it an adequate model for large and medium-scale hydrologic applications. However, embedding a new mechanistic algorithm or providing user guidance for coupling with other models will be necessary to realistically simulate diffuse pollutant sources, their fate and transport, and the effectiveness of GI/LID implementation scenarios.

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Section: Water Quality and Transport Of Contaminantsmentioning

confidence: 99%

Section: Water Quality and Transport Of Contaminantsmentioning

confidence: 99%

Storm Water Management Model: Performance Review and Gap Analysis

Niazi

Nietch

Maghrebi

et al. 2017

J. Sustainable Water Built Environ.

175

View full text Add to dashboard Cite

show abstract

“…Pet feces that is not properly managed can provide an additional source of nutrients and pathogens to runoff [49]. Finally, industrial parks contribute pollutants that correspond to the industrial processes that occur on-site and can include metals and organic chemicals [55][56][57].…”

Section: Overviewmentioning

confidence: 99%

It Is Not Easy Being Green: Recognizing Unintended Consequences of Green Stormwater Infrastructure

Taguchi

Weiss

Gulliver

et al. 2020

Water

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Green infrastructure designed to address urban drainage and water quality issues is often deployed without full knowledge of potential unintended social, ecological, and human health consequences. Though understood in their respective fields of study, these diverse impacts are seldom discussed together in a format understood by a broader audience. This paper takes a first step in addressing that gap by exploring tradeoffs associated with green infrastructure practices that manage urban stormwater including urban trees, stormwater ponds, filtration, infiltration, rain gardens, and green roofs. Each green infrastructure practice type performs best under specific conditions and when targeting specific goals, but regular inspections, maintenance, and monitoring are necessary for any green stormwater infrastructure (GSI) practice to succeed. We review how each of the above practices is intended to function and how they could malfunction in order to improve how green stormwater infrastructure is designed, constructed, monitored, and maintained. Our proposed decision-making framework, using both biophysical (biological and physical) science and social science, could lead to GSI projects that are effective, cost efficient, and just.

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“…In the literature, there are many studies related to water quantity and quality modeling by using EPA SWMM (Gülbaz and Kazezyılmaz-Alhan, 2008). Chang et al (2008) formed a model by using EPA SWMM for two industrial parks in Taiwan in order to correlate the relationship between pollutant mass and the runoff volume. Aad et al (2010) developed new modeling techniques for two BMPs, which are rain gardens and rain barrels, implemented in EPA SWMM.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Effects of Low Impact Development (Lid) on Surface Runoff and TSS in a Calibrated Hydrodynamic Model

Gülbaz¹,

Kazezyilmaz-Alhan²

2016

J. Urb. and Environ. Engng

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The land development and increase in urbanization in a watershed affect water quantity and water quality. On one hand, urbanization provokes the adjustment of geomorphic structure of the streams, ultimately raises peak flow rate which causes flood; on the other hand, it diminishes water quality which results in an increase in Total Suspended Solid (TSS). Consequently, sediment accumulation in downstream of urban areas is observed which is not preferred for longer life of dams. In order to overcome the sediment accumulation problem in dams, the amount of TSS in streams and in watersheds should be taken under control. Low Impact Development (LID) is a Best Management Practice (BMP) which may be used for this purpose. It is a land planning and engineering design method which is applied in managing storm water runoff in order to reduce flooding as well as simultaneously improve water quality. LID includes techniques to predict suspended solid loads in surface runoff generated over impervious urban surfaces. In this study, the impact of LID-BMPs on surface runoff and TSS is investigated by employing a calibrated hydrodynamic model for Sazlıdere Watershed which is located in Istanbul, Turkey. For this purpose, a calibrated hydrodynamic model was developed by using Environmental Protection Agency Storm Water Management Model (EPA SWMM). For model calibration and validation, we set up a rain gauge and a flow meter into the field and obtain rainfall and flow rate data. And then, we select several LID types such as retention basins, vegetative swales and permeable pavement and we obtain their influence on peak flow rate and pollutant buildup and washoff for TSS. Consequently, we observe the possible effects of LID on surface runoff and TSS in Sazlıdere Watershed.

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Use of Intercepted Runoff Depth for Stormwater Runoff Management in Industrial Parks in Taiwan

Cited by 22 publications

References 13 publications

Storm Water Management Model: Performance Review and Gap Analysis

Storm Water Management Model: Performance Review and Gap Analysis

It Is Not Easy Being Green: Recognizing Unintended Consequences of Green Stormwater Infrastructure

Investigating the Effects of Low Impact Development (Lid) on Surface Runoff and TSS in a Calibrated Hydrodynamic Model

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