Design influence and evaluation model of bioretention in rainwater treatment: A review

Li, Guohao; Xiong, Jiaqing; Zhu, Junguo; Liu, Yanzheng; Dzakpasu, Mawuli

doi:10.1016/j.scitotenv.2021.147592

Cited by 34 publications

(9 citation statements)

References 151 publications

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“…The initial characterization of the rainwater was necessary as some factors can interfere with the treatment process. Studies indicate that environmental factors such as pH, temperature, solid particles, salinity, total nitrogen and organic matter can influence the treatment process (Li et al, 2021).…”

Section: Resultsmentioning

confidence: 99%

“…Bioretention requires the selection of plants, fillers and structures. The original concept of bioretention areas was based on the comprehensive effects of soil, plants and microorganisms, where the soil and plants are the main factors affecting the efficiency of the treatment achieved (Li et al, 2021). However, the application of membrane filtration technology (Liu et al, 2021) and electrocoagulation coupled to a membrane bioreactor is gaining ground.…”

Section: Resultsmentioning

confidence: 99%

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Case Study: Evaluation and Reuse of Rainwater in a Prison in Santa Catarina State, Brazil

João¹,

Henckmaier²,

Rosa³

et al. 2022

JAS

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The capture and reuse of rainwater is a viable alternative in regions where water is scarce or in places where water consumption is high. However, the economic viability of the implementation of an appropriate system is reduced by the need to install pumps, filter pipes and filters. This case study was focused on evaluating the potential for the harvesting and reuse of rainwater in a prison in Santa Catarina State, Brazil. The experiment was carried out at Tubarão prison, where three sampling points were strategically selected for the collection of rainwater. The total area of the prison is 4793.73 m² and in this research only the roof areas of the buildings used to keep inmates in closed and semi-open regimes were used. In total, 3483.53 m² were considered, which guarantees an annual capture of 4314 m3 of water and corresponds to 17% of the water consumed in the prison, providing potential savings of US$ 5408 per year. After collection, the water was filtered through an activated carbon filter to be applied as reuse water. The results demonstrate significant reductions for all parameters analyzed. In general, the average efficiency was above 70%. The best results were obtained for the removal of suspended solids (94%), dissolved solids (94%), total solids (83) and phosphorus (81%). In addition, removal values for color, chlorides and nitrate were around 70%, verifying that the filtration system with activated carbon is efficient for harvested rainwater.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Case Study: Evaluation and Reuse of Rainwater in a Prison in Santa Catarina State, Brazil

João¹,

Henckmaier²,

Rosa³

et al. 2022

JAS

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“…Model for Urban Storm Water Improvement Conceptualism (MUSIC) software developed by Wong et al (2002) acts as a conceptual and decision-making tool, which aids to conceptualize possible stormwater BMPs with suitable sizing to meet specified water quality goals. As the most-used numerical stormwater model software in Australia, MUSIC provides a visualisation interface and allows both single event-based and continuous simulation (Li et al 2021). Natural or synthetic events can be created as rainfall inputs for event-based simulation, and it is very useful to study how bioretention will respond under certain storm events (Lisenbee et al 2021).…”

Section: Introductionmentioning

confidence: 99%

Bioretention Model for Urban Runoff Treatment in a Tropical Climate: A Case Study at the Universiti Sains Malaysia

Woon

Goh

Chang

et al. 2023

JWMM

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Model for Urban Storm Water Improvement Conceptualism (MUSIC) software has been widely used to predict the treatment and performance of stormwater Best Management Practices (BMPs) such as bioretention for decision-making purposes in stormwater management. However, the calibration of bioretention models based on pollutant runoff characteristics in the tropics is rarely studied. This paper presents the calibration of bioretention model parameters using MUSIC software to treat polluted runoff in a tropical climate. The bioretention model was simulated based on a pilot study at the Universiti Sains Malaysia (USM) engineering campus to evaluate the flow rate and pollutant’s reduction performance. Two stages of calibration were conducted, with the first stage to calibrate the inflow and pollutant concentrations, and the second stage to further calibrate the k-C* model to fit the experimental results. The validation of the model was done using the percentage bias between modeled and experimental data to evaluate the accuracy of bioretention modeling using MUSIC software. Overall, the accuracy of this model increased after calibration and can be accepted, as the performance of bioretention models for total suspended solids, total nitrogen, and total phosphorus removal percentage are good or very good (-13%, -4%, and -39% respectively), whereas the flow rate reduction is satisfactory (17%).

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“…Many studies have investigated the influence of individual SCMs on the quantity and quality of stormwater in urban sub-catchments, i.e., on a micro-scale [5][6][7][8]. Moreover, models are being used to design SCMs and predict SCM performance for different design and weather scenarios [9][10][11]. To investigate the impact of SCMs at meso-scale and macro-scale these models need to be integrated into or coupled with catchments rainfall-runoff (RR) models.…”

Section: Introductionmentioning

confidence: 99%

Design and Simulation of Stormwater Control Measures Using Automated Modeling

Radinja

Škerjanec

Džeroski

et al. 2021

Water

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Stormwater control measures (SCMs) are decentralized technical elements, which can prevent the negative effects of uncontrolled stormwater flow while providing co-benefits. Optimal SCMs have to be selected and designed to achieve the desired hydrological response of an urban catchment. In this study, automated modeling and domain-specific knowledge in the fields of modeling rainfall-runoff (RR) and SCMs are applied to automate the process of optimal SCM design. A new knowledge library for modeling RR and SCMs, compliant with the equation discovery tool ProBMoT (Process-Based Modeling Tool), was developed. The proposed approach was used to (a) find the optimal RR model that best fits the available pipe flow measurements, and (b) to find the optimal SCMs design that best fits the target catchment outflow. The approach was applied to an urban catchment in the city of Ljubljana, Slovenia. First, nine RR models were created that generally had »very good« performance according to the Nash–Sutcliffe efficiency criteria. Second, six SCM scenarios (i.e., detention pond, storage tank, bio-retention cell, infiltration trench, rain garden, and green roof) were automatically designed and simulated, enabling the assessment of their ability to achieve the target outflow. The proposed approach enables the effective automation of two complex calibration tasks in the field of urban drainage.

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Design influence and evaluation model of bioretention in rainwater treatment: A review

Cited by 34 publications

References 151 publications

Case Study: Evaluation and Reuse of Rainwater in a Prison in Santa Catarina State, Brazil

Case Study: Evaluation and Reuse of Rainwater in a Prison in Santa Catarina State, Brazil

Bioretention Model for Urban Runoff Treatment in a Tropical Climate: A Case Study at the Universiti Sains Malaysia

Design and Simulation of Stormwater Control Measures Using Automated Modeling

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