The impact of media, plants and their interactions on bioretention performance: A review

Skorobogatov, Anton; He, Jianxun; Chu, Angus; Valeo, Caterina; Duin, Bert van

doi:10.1016/j.scitotenv.2020.136918

Cited by 104 publications

(33 citation statements)

References 146 publications

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“…The percentage load reductions of suspended solids, total zinc and total copper within raingardens in Auckland, which vary with media permeability, range from 41% to 97% (Jayaratne et al, 2010). Internationally, as reviewed by Skorobogatov et al (2020), the reduction of peak flows and the retention of metals and suspended solids by bioretention systems, has been successful, but the removal or capture of dissolved contaminants is variable and challenging.…”

Section: The Case Study Of Aucklandmentioning

confidence: 99%

Demonstrating the need to simultaneously implement all water sensitive design methods for aquatic ecosystem health

Roon

2020

Heliyon

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The practices commonly known as ‘Water Sensitive Design’, or ‘Low Impact Urban Design and Development’, provide a comprehensive package of practices, (building blocks), that respect and work with the natural water cycle and enhance biodiversity. Much previous research has focussed on determining the sustainability gains achieved by the implementation of a narrow range of closely related techniques, such as the installation of at-source devices for stormwater retention and treatment. Other research has investigated the gains for the health of an ecosystem from the reduction of impervious surfaces, or from riparian revegetation, or from the clustering together of buildings. Relationships between these practices and techniques have been observed, but urban developers continue to implement practices such as these in isolation whereas it is suspected that the aquatic ecosystems need all of the practices and techniques to be implemented simultaneously. Without the synchrony of simultaneous implementation, degradation of the ecosystems may still occur and the real cause of it may be missed. The purpose of this research is to monitor, using a biotic index, the ecosystem responses of streams to the simultaneous implementation of as many as possible of these practices (the building blocks) at two different urban densities in paired sub-catchment studies within the Hauraki Gulf catchment of Auckland, New Zealand. Significant differences in the health of the ecosystems of the streams between some treatment and control sub-catchments are observed at both densities. The failure to apply all the techniques (building block methods), or to apply them appropriately in some of the case study sub-catchments, demonstrates a consequent degradation of the ecosystems of the streams that is expected to have negative consequences, not only for local streams but for the marine receiving environment.

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Section: The Case Study Of Aucklandmentioning

confidence: 99%

Demonstrating the need to simultaneously implement all water sensitive design methods for aquatic ecosystem health

Roon

2020

Heliyon

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“…Interactions between plants and soil were reported to influence the soil structure, hydrologic processes, and nutrient cycling of the entire ecosystem [14][15][16][17]. The plants used in the BRS had no clear distinction between woody and leafy species [17].…”

Section: Introductionmentioning

confidence: 99%

Pilot and Field Studies of Modular Bioretention Tree System with Talipariti tiliaceum and Engineered Soil Filter Media in the Tropics

Lim

Neo

Guo

et al. 2021

Water

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Stormwater runoff management is challenging in a highly urbanised tropical environment due to the unique space constraints and tropical climate conditions. A modular bioretention tree (MBT) with a small footprint and a reduced on-site installation time was explored for application in a tropical environment. Tree species used in the pilot studies were Talipariti tiliaceum (TT1) and Sterculia macrophylla (TT2). Both of the MBTs could effectively remove total suspended solids (TSS), total phosphorus (TP), zinc, copper, cadmium, and lead with removal efficiencies of greater than 90%. Total nitrogen (TN) removal was noted to be significantly higher in the wet period compared to the dry period (p < 0.05). Variation in TN removal between TT1 and TT2 were attributed to the nitrogen uptake and the root formation of the trees species. A field study MBT using Talipariti tiliaceum had a very clean effluent quality, with average TSS, TP, and TN effluent EMC of 4.8 mg/L, 0.04 mg/L, and 0.27 mg/L, respectively. Key environmental factors were also investigated to study their impact on the performance of BMT. It was found that the initial pollutant concentration, the dissolved fraction of influent pollutants, and soil moisture affect the performance of the MBT. Based on the results from this study, the MBT demonstrates good capability in the improvement of stormwater runoff quality.

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“…Basically, it is a management technique designed to control storm water runoff from its source in a simple and natural way (Bhandari et al 2018;Osheen & Singh 2020). Rain gardens are effective in terms of reducing pollutants, reducing storm water runoff and attenuating peak runoff rate (Muerdter et al 2016;Shafique 2016;Skorobogatov et al 2020;Tirpak et al 2021). 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).…”

Section: Introductionmentioning

confidence: 99%

“…Due to growth of plant roots with time, they penetrate deeper into the soil. These lead to lengthening of soil pits, reversing the soil compaction and the formation of large pores (Yuan et al 2017;Muerdter et al 2018;Skorobogatov et al 2020). The existing infiltration models are not able to describe rain garden infiltration rate accurately.…”

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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The impact of media, plants and their interactions on bioretention performance: A review

Cited by 104 publications

References 146 publications

Demonstrating the need to simultaneously implement all water sensitive design methods for aquatic ecosystem health

Demonstrating the need to simultaneously implement all water sensitive design methods for aquatic ecosystem health

Pilot and Field Studies of Modular Bioretention Tree System with Talipariti tiliaceum and Engineered Soil Filter Media in the Tropics

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

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