Urban stormwater characterization, control, and treatment

Rodak, Carolyn M.; Jayakaran, Anand D.; Moore, Trisha L.; David, Ray; Rhodes, Emily R.; Vogel, Jason R.

doi:10.1002/wer.1403

Cited by 17 publications

(3 citation statements)

References 285 publications

(331 reference statements)

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“…It has been reported that maintenance is of significance for ensuring GI functions effectively [11][12][13][14][15]. In early 2008, it was reported that to keep wet ponds functioning, routine monitoring and regular sediment cleaning are necessary [16].…”

Section: Introductionmentioning

confidence: 99%

Willingness to Pay for the Maintenance of Green Infrastructure in Six Chinese Pilot Sponge Cities

Qiao

Randrup

2022

Water

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Due to the increasingly devastating impact of pluvial flooding on human beings’ lives and properties in cities, the use of green infrastructure to manage stormwater onsite is becoming more popular worldwide. The maintenance of green infrastructure to ensure its function has become one of the most pressing tasks facing policy makers. However, there is limited research regarding the willingness to pay the stormwater fee as a form of maintenance funding. This study utilized contingent valuation data obtained from a survey of 1101 respondents living in six pilot sponge cities in China to estimate the willingness to pay for the green infrastructure maintenance. The findings indicated that two-thirds of all respondents were willing to pay, 17% would like to pay around 6–10 RMB/month (0.95–1.59 US dollars/month), and 17.8% would like to pay more than 20 RMB/month (3.2 US dollars/month). The educational level and age of the respondents were significant determinants of the probability of willingness to pay and the amount they would like to pay. Knowledge of the concept of sponge cities was another significant influencing factor for the willingness to pay, but it did not influence the amount of payment. The findings could help policy makers make better strategies regarding the maintenance of green infrastructure and its costs.

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Section: Introductionmentioning

confidence: 99%

Willingness to Pay for the Maintenance of Green Infrastructure in Six Chinese Pilot Sponge Cities

Qiao

Randrup

2022

Water

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“…Stormwater Best Management Practices (BMPs) are an efficient way to implement in urban area due to less permeable area [8]. Stormwater BMPs like wetlands, bioretention, retention ponds and detention ponds have been applied in many developed countries such as United States (US), United Kingdom (UK), China, Japan and German to treat urban runoff.…”

Section: Introductionmentioning

confidence: 99%

“…Stormwater BMPs like wetlands, bioretention, retention ponds and detention ponds have been applied in many developed countries such as United States (US), United Kingdom (UK), China, Japan and German to treat urban runoff. According to a study conducted by Rodak et al [8], the results achieved from stormwater BMPs show excellent performance in removing pollutants from urban runoff.…”

Section: Introductionmentioning

confidence: 99%

Bioretention System as a Stormwater Best Management Practices (BMPs): A Case Study in Malaysia

Azizan,

Goh,

Faudzi

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Bioretention systems, such as rain gardens, are landscaped depressions that treat on-site stormwater discharge from impervious surfaces such as roofs, driveways, sidewalks, parking lots and compacted lawns. They are used to collect stormwater and filter it through a mixture of soil, sand and/or gravel. In this study, a pilot-scale bioretention system has been constructed in Universiti Sains Malaysia, Nibong Tebal, Pulau Pinang. This bioretention system will be used as a stormwater Best Management Practices (BMPs) to solve water quality issues in tropical climates, particularly Malaysia. This study consists of two bioretention pilot sites, a vegetated site with tropical plants, such as Red Hot Hibiscus (Hibiscus rosa-sinensis), Amaryllis (Hippeastrum), Singapore Daisy (Sphagneticola trilobata), Lobster claw (Heliconia rostrata), Alternanthera (Alternanthera cultivar) and a non-vegetated control site. The study investigated the pollutant removal efficiency between two pilot sites in treating polluted runoff. The site uptake from the polluted runoff will be observed by testing the effluent with TSS, TN and TP test for three weeks at 30 mins, 2 hours, 4 hours and 8 hours after the runoff being released. The results showed pollutant removal efficiency for TSS (76 %), TN (78 %), and TP (71 %) for the vegetated site, which is slightly better compared to control site (TSS (75 %), TN (76 %) and TP (54 %)). This study concluded that the vegetated site has slightly better performance on nutrient removal efficiency.

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The Potential of Stormwater Management Strategies and Artificial Intelligence Modeling Tools to Improve Water Quality: A Review

Ramovha,

Chadyiwa,

Ntuli

et al. 2024

Water Resour Manage

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Stormwater management modeling tools have been utilized to enhance stormwater operating systems, assess modeling system efficiency, and evaluate the impacts of urban growth on stormwater runoff and water quality. This review explores the potential of stormwater management strategies and Artificial Intelligence modeling tools in enhancing water quality. The study focuses on evaluating stormwater modeling tools for planning and improving stormwater systems, assessing modeling efficiency, and understanding the impacts of new development on stormwater runoff and water quality. Various stormwater modeling tools are compared to aid in water management in urban and rural settings, which is crucial due to increasing storm intensity from climate change. The review debates the advantages and limitations of different modeling tools, particularly in modeling stormwater quantity and quality under different scenarios. It also examines tools used for predicting and analysing stormwater runoff during storm events in diverse locations. The assessment of modeling tools is centred on their support for Green Infrastructure (GI) practices, considering factors like modeling accuracy, data availability, and requirements. The study highlights the importance of these tools in managing water in urban areas and safeguarding water sources during stormwater events. Notably, the accuracy and efficacy of stormwater modeling tools are influenced by input data quality, calibration methods, and standardization metrics, with the widely used Stormwater Management Model (SWMM) being a common modeling tool.

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Urban stormwater characterization, control, and treatment

Cited by 17 publications

References 285 publications

Willingness to Pay for the Maintenance of Green Infrastructure in Six Chinese Pilot Sponge Cities

Willingness to Pay for the Maintenance of Green Infrastructure in Six Chinese Pilot Sponge Cities

Bioretention System as a Stormwater Best Management Practices (BMPs): A Case Study in Malaysia

The Potential of Stormwater Management Strategies and Artificial Intelligence Modeling Tools to Improve Water Quality: A Review

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