Hybrid SWMM and particle swarm optimization model for urban runoff water quality control by using green infrastructures (LID-BMPs)

Taghizadeh, Soudabeh; Khani, Salar; Rajaee, Taher

doi:10.1016/j.ufug.2021.127032

Cited by 75 publications

(19 citation statements)

References 37 publications

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“…Taghizadeh et al [75] proposed a coupled SWMM-Multi-Objective Particle Swarm Optimization (MOPSO) model for Low Impact Development-Best Management Practices (LID-BMP) optimization. The proposed model was applied to an urban area in Northwestern Tehran, Iran.…”

Section: Discussionmentioning

confidence: 99%

Innovations in Best Practices: Approaches to Managing Urban Areas and Reducing Flood Risk in Reggio Calabria (Italy)

et al. 2021

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Urbanization increases imperviousness and reduces infiltration, retention, and evapotranspiration, frequently aggravating urban flooding due to greater runoff and higher and faster discharge peaks. Effective strategies to mitigate flood risks require a better understanding of the watershed dynamics and space to reverse the negative impacts. However, often cities do not have proper data sets to feed mathematical models that would be helpful in mapping water dynamics. Attempts to reduce flood risks have been made for decades by means of structural interventions but were frequently designed within the logic of a local scale, using limited available spaces and often merely shifting flooding downstream. Therefore, assessing urban floods requires a modeling approach capable of reflecting the watershed scale, considering interactions between hydraulic structures and urban landscape, where best practices and non-structural measures aim to improve community flood resilience through the reduction of social and financial costs in the long run. This paper proposes an integrated approach to analyze low impact development (LID) practices complemented by non-structural measures in a case study in southern Italy, supported by mathematical modeling in a strategy to overcome a context of almost no available data and limited urban open spaces.

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Section: Discussionmentioning

confidence: 99%

Innovations in Best Practices: Approaches to Managing Urban Areas and Reducing Flood Risk in Reggio Calabria (Italy)

et al. 2021

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“…biochemical oxygen demand and total nutrients) with considering runoff (Park et al, 2008;Chang et al, 2008;Piro et al, 2010;Lee et al, 2009;and Tsihrintzis and Hamid, 1998;Liu et. al 2015;Taghizadeh et. al 2021).…”

Section: Swmm Verification For Water Quantitymentioning

confidence: 99%

Modeling for Mitigating Storm Water Unban Flooding and Water Quality Issues by Using Small Serial Dams: A Case Study of the City of San Angelo

2021

Global NEST: The International Journal

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<p>The City of San Angelo has been imposed on urban flooding and no-point source pollution and develop storm water monitoring and modeling project for managing these storm water issues. This study focuses on the stormwater peak flow reduction and water pollutant improvement by using small serial retention structures. The storm water data collected are utilized to verify storm water and event mean concentration in SWMM model. The verified SWMM that has range from 0.6 to 0.8 of coefficient of determination is modeled to evaluate small serial dams for reducing peak flow and water quality loading. Small serial dams explain the 26%~55.3% peak flow reduction and 53.2%~93.7% water pollutant removal percent. Sensitivity analysis results for three kinds of orifice sizes provide that smaller size increases the hydraulic retention and reduces the peak flow than other bigger size while the bigger size shows effective water pollutant reduction than small size.</p>

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“…The construction of 'sponge city' can not only effectively mitigate ion urban waterlogging problems, enhance the climate resilience of urban and rural areas, and make the city exibly adapt to environmental changes and natural disasters Baek et al 2015). It can also further realize the green and low-carbon economy (Liu et al 2017;Nguyen et al 2020;Taghizadeh et al 2021), and help China to achieve the goal of 'carbon peak' and 'carbon neutralization'. Therefore, it is of great signi cance to plan LID measures through urban stormwater models to evaluate waterlogging reduction and carbon emission reduction (Darnthamrongkul et al 2021;Baek et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Comprehensive analysis of waterlogging control and carbon emission reduction for optimal LID layout

Gao

et al. 2022

Preprint

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Under the background of global climate change, flooding is causing devastating impacts on the balance of the regional water resources system. The campuses are typical built-up areas with high building density and are also disturbed by waterlogging. How to transform the campus rainwater system into sponge city reconstruction is the key problem to be solved. Based on the MIKE FLOOD platform, the urban waterlogging model is established, the causes of waterlogging are analyzed in this study. Low impact development (LID) measures are added according to the current situation. The carbon emission reduction capacity and economic benefit of each scenario are calculated and evaluated. The Analytic Hierarchy Process (AHP) is used to comprehensively evaluate the LID combination scenario to further explore a reasonable solution to mitigate urban waterlogging. The results show that the current rainwater pipe network built has a small pressure load on the campus, which cannot well respond to heavy rainfall conditions, resulting in a high risk of waterlogging in the campus. After setting up LID measures, the runoff control rate can be increased by 26.15-42.84%, and the waterlogging area above 15cm can be reduced by 72.87-100%. If the energy conservation and emission reduction benefits and costs are considered at the same time, the layout scenario of 9% bioretention facility +3% green roof+3% permeable pavement can achieve the best benefits. The research can provide a reference for planning and reconstruction of ‘sponge campus’ and old residential areas.

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Hybrid SWMM and particle swarm optimization model for urban runoff water quality control by using green infrastructures (LID-BMPs)

Cited by 75 publications

References 37 publications

Innovations in Best Practices: Approaches to Managing Urban Areas and Reducing Flood Risk in Reggio Calabria (Italy)

Innovations in Best Practices: Approaches to Managing Urban Areas and Reducing Flood Risk in Reggio Calabria (Italy)

Modeling for Mitigating Storm Water Unban Flooding and Water Quality Issues by Using Small Serial Dams: A Case Study of the City of San Angelo

Comprehensive analysis of waterlogging control and carbon emission reduction for optimal LID layout

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