Management of stormwater pollution using green infrastructure: The role of rain gardens

Sharma, Rozi; Malaviya, Piyush

doi:10.1002/wat2.1507

Cited by 87 publications

(30 citation statements)

References 113 publications

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“…Green infrastructure, biological retention systems, and pervious pavements mainly rely on the natural purification effect of vegetation, soil, and wetlands. Cities can absorb and release rain using a combination of natural and manmade methods [ 56 , 57 ]. The current coverage of urban environmental quality monitoring stations is inadequate and cannot accurately convey urban environmental quality [ 58 , 59 ].…”

Section: Discussionmentioning

confidence: 99%

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Response Model for Urban Area Source Pollution and Water Environmental Quality in a River Network Region

Lai

Jie

et al. 2022

IJERPH

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With the development of cities, urban area source pollution has become more severe and a significant source of water pollution. To study the relationship between urban area source pollution and water environmental quality in a river network, this study uses a city in the Yangtze River Delta, China, as an example. The Storm Water Management Model (SWMM) model and the MIKE11 model were combined into a unified modeling framework and used to simulate dynamic changes in the water quality of a river network under light rain, moderate rain, and heavy rain. In the study period, the annual urban area source input loads of potassium permanganate (CODMn), total phosphorus (TP), and ammonia nitrogen were 29.8, 0.9, and 4.8 t, respectively. The influence of light rain on the water quality of the river network was lagging and temporary, and rainfall area pollution was the primary contributor. Under the scenario of moderate rain, overflow from a pipeline network compounded rainfall runoff, resulting in a longer duration of impact on the water quality in the river. Additionally, the water quality in the river course was worse under moderate rain than under light or heavy rain. Under the scenario of heavy rain, rain mainly served a dilutive function. This research can provide support for urban area source pollution control and management.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Response Model for Urban Area Source Pollution and Water Environmental Quality in a River Network Region

Lai

Jie

et al. 2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Except for green roofs, all other candidates efficiently reduced the TSSs from the stormwater runoff. Nitrogen in the runoff was found to be reduced by rain gardens [43], detention basins, and constructed wetlands. Such results might be ascribed to the intensified biological degradation and extended hydraulic retention time.…”

Section: Engineering Performance Of the Selected Available Green Infrastructure Practicesmentioning

confidence: 99%

Comprehensive Performance Evaluation of Green Infrastructure Practices for Urban Watersheds Using an Engineering–Environmental–Economic (3E) Model

et al. 2021

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Green infrastructure practices could provide innovative solutions for on-site stormwater management and runoff pollution control, which could relieve the stress of nonpoint pollution resulting from heavy rainfall events. In this study, the performance and cost-effectiveness of six green infrastructure practices, namely, green roofs, rain gardens, pervious surfaces, swales, detention basins, and constructed wetlands, were investigated. The comprehensive performance evaluation in terms of the engineering performance, environmental impact, and economic cost was determined in the proposed engineering–environmental–economic (3E) triangle model. The results revealed that these green infrastructure practices were effective for stormwater management in terms of runoff attenuation, peak flow reduction and delay, and pollutant attenuation. It was suggested that for pollution control, detention basins can efficiently reduce the total suspended solids, total nitrogen, total phosphorus, and lead. The implementation of detention basins is highly recommended due to their higher engineering performance and lower environmental impact and economic cost. A case study of a preliminary cost–benefit analysis of green infrastructure practice exemplified by the Pearl River Delta in China was addressed. It suggested that green infrastructure was cost-effective in stormwater management in this area, which would be helpful for sustaining healthy urban watersheds.

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“…Research on practical measures, mainly includes traditional "hard" engineering measures, such as building dams, strengthening riverbanks and upgrading urban drainage networks. Other scholars have also focused on using "soft" measures, such as rain gardens, ecological dry streams, green roofs, and soil conservation, to try to control the runoff process (Huang, 2015;Bekin et al, 2021;Patel et al, 2021;Sharma and Malaviya, 2021;Xia and Chen, 2021). Extensive research has focused on specific measures to address urban flooding, but traditional engineering measures are plagued by high costs and long construction periods, while soft measures are characterized by limited space and difficult maintenance of the overall management system.…”

Section: Introductionmentioning

confidence: 99%

Combining catastrophe technique and regression analysis to deduce leading landscape patterns for regional flood vulnerability: A case study of Nanjing, China

2022

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Urbanization leads to changes in land use, and the expansion of impervious surfaces leads to an increase in flood vulnerability. Predicting and analyzing these landscape pattern changes are important in the early stages of urban planning. In practice, the threshold for obtaining comprehensive and detailed hydrological and meteorological data is high, which makes it difficult for landscape and urban planners to quickly evaluate urban floods. To compensate for these trends, we took Nanjing, China, as the study site and discussed the leading flood vulnerability landscape patterns based on quantitative assessments. We introduced catastrophe theory to integrate three indicators and seven subfactors for flood vulnerability assessment: exposure, including precipitation; sensitivity, including elevation, slope, soil and drainage density; and adaptability, including land use and forest coverage. Then, we calculated the landscape pattern metrics (shape index, fractal dimension index, related circumscribing circle, contiguity index and landscape division index) at the class level. Finally, we divided the city into four subregions, established regression models for the subregions and the whole city, and deduced the leading flood vulnerability landscape patterns in each region and the whole city. We found that the leading landscape patterns varied among different regions. According to the research results, the landscape pattern indexes identified in this paper can be interpreted intuitively, which can provide a reference for modifying the planning layout of regional green infrastructure, optimizing the vulnerability of urban floods, and providing a basis for further improving Nanjing urban planning and alleviating the urban flood vulnerability. The methods proposed herein also will benefit land use and green infrastructure management in other regions lacking meteorological and hydrological data.

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Management of stormwater pollution using green infrastructure: The role of rain gardens

Cited by 87 publications

References 113 publications

Response Model for Urban Area Source Pollution and Water Environmental Quality in a River Network Region

Response Model for Urban Area Source Pollution and Water Environmental Quality in a River Network Region

Comprehensive Performance Evaluation of Green Infrastructure Practices for Urban Watersheds Using an Engineering–Environmental–Economic (3E) Model

Combining catastrophe technique and regression analysis to deduce leading landscape patterns for regional flood vulnerability: A case study of Nanjing, China

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