Rain Gardens as Stormwater Management Tool

Malaviya, Piyush; Sharma, Rozi; Sharma, Pradeep Kumar

doi:10.1007/978-981-13-2772-8_7

Cited by 26 publications

(23 citation statements)

References 44 publications

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“…Rain gardens have also some drawbacks like stagnant water serve as a breeding ground for many pests, attract rodents, raccoons, opossums, insects, and so forth; accidental drowning can be caused when it is amply pooled; groundwater contamination if they are not separated from groundwater table. Groundwater can get polluted, if not isolated from the rain garden bed (Malaviya, Sharma, & Kumar, 2019). Though there are some drawbacks of rain gardens, these are almost insignificant when compared to associated benefits.…”

Section: Rain Gardens: An Eco‐technologically Advanced Gi Technologymentioning

confidence: 99%

“…Retaining ability also remains strong after long‐term operation. However, Malaviya et al (2019) reviewed that the working quality of rain gardens can be enhanced by removing accumulated sediments, finer particles, and soil media regularly after 20–25 years. By technically optimizing the maintenance protocols of rain gardens, a more homogeneous infiltration of stormwater can be achieved.…”

Section: Assessment Of Performance Of Rain Gardensmentioning

confidence: 99%

“…and ground covers like Mazos reptans , Ajuga spp. are suitable for rain gardens (Malaviya et al, 2019). Invertebrates present in soil have the potential to substantially retain and remove pathogens, heavy metals, nutrients, and other contaminants, alter plant growth and water infiltration rates.…”

Section: Rain Gardens: An Eco‐technologically Advanced Gi Technologymentioning

confidence: 99%

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

Sharma

Malaviya

2021

WIREs Water

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Major modifications are needed in existing stormwater management practices to control floods in urban landscapes, protect natural ecosystems, and minimize infrastructural destruction due to stormwater hazards. Stormwater management combined with urban design can be the best solution to minimize urban flooding risks and promote a clean natural environment. Green infrastructure (GI) is an environmentally sustainable alternative to traditional methods of stormwater management. Rain gardens, a GI, play a vital role in reducing rainwater volume and flow, prevent asset's destruction, remove pollutants from urban runoff, and recharge groundwater. Rain gardens can remove sediments, heavy metals, pathogens, nutrients, hydrocarbons from stormwater via several mechanisms. Various amendments in soil media help in delayed saturation, low sorption capacity, limited pollutant mobility, and bioaccumulation/biotransformation of metals/organic compounds in rain gardens. Soil media and plants play a vital role in the pollutant removal processes of rain gardens. Various plant‐based mechanisms and chemical processes like adsorption, reduction, sedimentation, cation‐exchange capacity, complexation, and so forth are involved in the removal of contaminants from stormwater. Construction and design considerations; different models of rain gardens; working mechanisms; performance assessment tools like capacity tests and synthetic runoff tests; removal of stormwater pollutants, and biphasic rain gardens have been critically discussed in this review. The state‐of‐the‐art review approaches to provide fundamental knowledge of rain gardens and in‐depth analyzes its potential as a stormwater management tool. Future directions on improving efficiencies of rain gardens have also been discussed for prospective researchers. This article is categorized under: Engineering Water

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Section: Rain Gardens: An Eco‐technologically Advanced Gi Technologymentioning

confidence: 99%

Section: Assessment Of Performance Of Rain Gardensmentioning

confidence: 99%

Section: Rain Gardens: An Eco‐technologically Advanced Gi Technologymentioning

confidence: 99%

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

Sharma

Malaviya

2021

WIREs Water

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“…These can effectively remove 75-80% of sediments and 80-90% of chemicals and nutrients from the runoff water (Davis et al 2006;Aaron et al 2012). As compared to other usual lawns, rain gardens permit around 30% more water to infiltrate into the ground (Malaviya et al 2019). It can be used in a wide variety of environments (Weerasundara et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Rain garden infiltration rate modeling using gradient boosting machine and deep learning techniques

Kumar

Singh

2021

Water Science and Technology

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Rain garden are effective in reducing storm water runoff, whose efficiency depends upon several parameters such as soil type, vegetation and metrological factors. Evaluation of rain gardens has been done by various researchers. However, knowledge for sound design of rain gardens is still very limited, particularly the accurate modeling of infiltration rate and how much it differs from infiltration of natural ground surface. The present study uses experimentally observed infiltration rate of rain gardens with different types of vegetation (grass, candytuft, marigold and daisy with different plant densities) and flow conditions. After that, modeling has been done by the popular infiltration model i.e. Philip's model (which is valid for natural ground surface) and soft computing tools viz. Gradient Boosting Machine (GBM) and Deep Learning (DL). Results suggest a promising performance (in terms of CC, RMSE, MAE, MSE and NSE) by GBM and DL in comparison to the relation proposed by Philip's model (1957). Most of the values predicted by both GBM and DL are within scatter limits of ±5%, whereas the values by Philips model are within the range of ±25% error lines and even outside. GBM performs better than DL as the values of the correlation coefficients and Nash-Sutcliffe model efficiency (NSE) coefficient are the highest and the root mean square error is the lowest. The results of the study will be useful in selection of plant type and their density of the rain garden in the urban area.

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“…Unfiltered stormwater runoff is a potential groundwater pollution hazard. Retrofitting streets with green or green-grey infrastructure systems and technologies such as rain gardens would likely reduce pollution levels [22].…”

Section: Introductionmentioning

confidence: 99%

Status and Future Directions for Residential Street Infrastructure Retrofit Research

2019

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Residential streets, particularly in automobile-dependent suburban locations, have frequently been perceived as ecologically unsustainable, antisocial, unhealthy, and aesthetically dull from an urban design perspective. However, residential streets can be improved through infrastructure retrofits, particularly by combining green and grey infrastructures and integrating various functions and services. Using a systematic literature review and an adapted landscape services framework, the paper analyses the status of retrofit research and discusses existing composition and spatial integration of green, grey, and green-grey street infrastructure. Findings suggest changing infrastructure compositions in residential streets and a trend toward increased grey and green-grey infrastructure integration. However, functional connectivity is often lacking, and while barriers to implementation have been suggested, few have been tested. While retrofits are potentially able to increase the number and quality of landscape services that support human well-being, more-and possibly longitudinal-research is required to advance and analyze their implementation and provide evidence for their success.

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Rain Gardens as Stormwater Management Tool

Cited by 26 publications

References 44 publications

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

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

Rain garden infiltration rate modeling using gradient boosting machine and deep learning techniques

Status and Future Directions for Residential Street Infrastructure Retrofit Research

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