Simulating the hydrological performance of low impact development in shallow groundwater via a modified SWMM

Zhang, Kun; Chui, Ting Fong May; Yang, Yang

doi:10.1016/j.jhydrol.2018.09.006

Cited by 49 publications

(15 citation statements)

References 67 publications

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“…The SWMM model has been commonly employed in urban drainage flooding analysis, water quality and transport of contaminants [ 3 ], TMDL implementation plans [ 125 ], urbanization and climate change effects [ 7 ], and LID effectiveness [ 126 ]. Niazi, et al [ 127 ] presented a synthetic overview of SWMM applications and gap analyses.…”

Section: Watershed-scale Nonpoint Source Pollution Model Evaluationmentioning

confidence: 99%

Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models

2020

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Watershed-scale nonpoint source (NPS) pollution models have become important tools to understand, evaluate, and predict the negative impacts of NPS pollution on water quality. Today, there are many NPS models available for users. However, different types of models possess different form and structure as well as complexity of computation. It is difficult for users to select an appropriate model for a specific application without a clear understanding of the limitations or strengths for each model or tool. This review evaluates 14 more commonly used watershed-scale NPS pollution models to explain how and when the application of these different models are appropriate for a given effort. The models that are assessed have a wide range of capacities that include simple models used as rapid screening tools (e.g., Long-Term Hydrologic Impact Assessment (L-THIA) and Nonpoint Source Pollution and Erosion Comparison Tool (N-SPECT/OpenNSPECT)), medium-complexity models that require detail data input and limited calibration (e.g., Generalized Watershed Loading Function (GWLF), Loading Simulation Program C (LSPC), Source Loading and Management Model (SLAMM), and Watershed Analysis Risk Management Frame (WARMF)), complex models that provide sophisticated simulation for NPS pollution processes with intensive data and rigorous calibration (e.g., Agricultural Nonpoint Source pollution model (AGNPS/AnnAGNPS), Soil and Water Assessment Tool (SWAT), Stormwater Management Model (SWMM), and Hydrologic Simulation Program Fortran (HSPF)), and modeling systems that integrate various sub-models and tools, and contain the highest complexity to solve all phases of hydrologic, hydraulic, and chemical dynamic processes (e.g., Automated Geospatial Watershed Assessment Tool (AGWA), Better Assessment Science Integrating Point and Nonpoint Sources (BASINS) and Watershed Modeling System (WMS)). This assessment includes model intended use, components or capabilities, suitable land-use type, input parameter type, spatial and temporal scale, simulated pollutants, strengths and limitations, and software availability. Understanding the strengths and weaknesses of each watershed-scale NPS model will lead to better model selection for suitability and help to avoid misinterpretation or misapplication in practice. The article further explains the crucial criteria for model selection, including spatial and temporal considerations, calibration and validation, uncertainty analysis, and future research direction of NPS pollution models. The goal of this work is to provide accurate and concise insight for watershed managers and planners to select the best-suited model to reduce the harm of NPS pollution to watershed ecosystems.

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Section: Watershed-scale Nonpoint Source Pollution Model Evaluationmentioning

confidence: 99%

Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models

2020

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“…Based on the simulation results, they concluded that the effectiveness of spatial apportionments of NBS (e.g., bioretention cells) depends on (i) the aggregation level, (ii) the execution ratio, and (iii) the relative location of bioretention cells in the catchment. Zhang et al (2018) also used SWMM-LID-GW to simulate water movement in the soil and its interaction with the surface for a more holistic performance assessment of NBS. Niu et al (2016) analysed the effect of bio-retention, grass swale and porous pavement in the reduction of runoff at the Tianjin University campus (2.5 km 2 ), China, using the SWMM software.…”

Section: Assessment Framework: Overview Of Modelling Approachesmentioning

confidence: 99%

Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations

Kumar

Debele

Sahani

et al. 2021

Science of The Total Environment

132

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Nature-based solutions (NBS) for hydro-meteorological risks (HMRs) reduction and management are becoming increasingly popular, but challenges such as the lack of well-recognised standard methodologies to evaluate their performance and upscale their implementation remain. We systematically evaluate the current state-of-the art on the models and tools that are utilised for the optimum allocation, design and efficiency evaluation of NBS for five HMRs (flooding, droughts, heatwaves, landslides, and storm surges and coastal erosion). We found that methods to assess the complex issue of NBS efficiency and cost-benefits analysis are still in the development stage and they have only been implemented through the methodologies developed for other purposes such as fluid dynamics models in micro and catchment scale contexts. Of the reviewed numerical models and tools MIKE-SHE, SWMM (for floods), ParFlow-TREES, ACRU, SIMGRO (for droughts), WRF, ENVI-met (for heatwaves), FUNWAVE-TVD, BROOK90 (for landslides), TELEMAC and ADCIRC (for storm surges) are more flexible to evaluate the performance and effectiveness of specific NBS such as wetlands, ponds, trees, parks, grass, green roof/walls, tree roots, vegetations, coral reefs, mangroves, sea grasses, oyster reefs, sea salt marshes, sandy beaches and dunes. We conclude that the models and tools that are capable of assessing the multiple benefits, particularly the performance and cost-effectiveness of NBS for HMR reduction and management are not readily available. Thus, our synthesis of modelling methods can facilitate their selection that can maximise opportunities and refute the current political hesitation of NBS deployment compared with grey solutions for HMR management but also for the provision of a wide range of social and economic co-benefits. However, there is still a need for bespoke modelling tools that can holistically assess the various components of NBS from an HMR reduction and management perspective. Such tools can facilitate impact assessment modelling under different NBS scenarios to build a solid evidence base for upscaling and replicating the implementation of NBS.

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“…O Storm Water Management Model (SWMM) é um software, desenvolvido pela Enviromnental Protection Agency (EPA) em 1971, utilizado no âmbito da hidrologia urbana para: avaliar o potencial de técnicas compensatórias (MARTINS, 2016); prever o escoamento de telhados verdes (JOHANNESSEN et al, 2019); quantificar os benefícios de diferentes combinações de unidades low impact development (LID) (LI et al, 2019); simular o efeito de diferentes estruturas de pavimento na redução do escoamento superficial e no controle de águas pluviais urbanas (ZHU et al, 2019b); e também para simular o desempenho hidrológico do desenvolvimento de baixo impacto em águas subterrâneas rasas (ZHANG et al, 2018).…”

Section: Introductionunclassified

Avaliação do emprego de técnicas compensatórias na sub-bacia urbana Ribeirão do Santa Rita do município de Fernandópolis, São Paulo

Rodrigues

Santini

2021

Eng. Sanit. Ambient.

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RESUMO Com o crescimento da população urbana e consequente alteração do uso e da ocupação do solo nas bacias hidrográficas, as inundações têm ficado cada vez mais frequentes. O presente trabalho teve como objetivo verificar os efeitos do emprego de técnicas compensatórias na sub-bacia hidrográfica Ribeirão do Santa Rita, localizada no município de Fernandópolis, São Paulo, Brasil. Foram analisados a vazão de pico e o tempo de resposta de diversos cenários, com o intuito de verificar o potencial de atenuação das inundações. A metodologia utilizada empregou o Storm Water Management Model (SWMM) para propagar o escoamento, e o software de Sistema de Informação Geográfica (SIG) para obter as características da bacia em estudo e os locais de potencial emprego das técnicas. Foi simulada a instalação de diversas técnicas compensatórias, isoladamente e em conjunto, para a configuração urbana de 2017. Mediante os hidrogramas gerados por cada cenário, constatou-se que os melhores resultados ocorreram em eventos com tempo de retorno menor. A atenuação da vazão de pico chegou a 33,72% utilizando-se trincheiras de infiltração, 31,38% para pavimentos permeáveis, 31,08% empregando jardins de chuva e 12,20% com telhados verdes. O aumento no tempo de resposta foi de até 16 minutos. No cenário com todas as técnicas compensatórias, a redução foi de até 37,29% da vazão de pico e o aumento do tempo de resposta foi de 18 minutos. Portanto, as técnicas compensatórias podem reduzir a vazão de pico e aumentar o tempo de resposta da sub-bacia, mitigando as ocorrências de inundações.

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Simulating the hydrological performance of low impact development in shallow groundwater via a modified SWMM

Cited by 49 publications

References 67 publications

Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models

Review of Watershed-Scale Water Quality and Nonpoint Source Pollution Models

Nature-based solutions efficiency evaluation against natural hazards: Modelling methods, advantages and limitations

Avaliação do emprego de técnicas compensatórias na sub-bacia urbana Ribeirão do Santa Rita do município de Fernandópolis, São Paulo

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