Comprehensive benefits evaluation of low impact development using scenario analysis and fuzzy decision approach

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 17, 2025

The comprehensive benefit evaluation of LID based on multi-criteria decision-making methods faces technical issues such as the uncertainties and vagueness in hybrid information sources, which can affect overall results ranking alternatives. This study introduces a multi-indicator fuzzy approach for selection measures, aiming to provide robust holistic framework evaluating their benefits at community level. proposed methodology integrates quantitative environmental economic indicators with qualitative social indicators, combining use Storm Water Management Model (SWMM) ArcGIS scenario-based analysis, hesitant language sets Technique Order Preference by Similarity Ideal Solution (TOPSIS) decision-making. framework's novelty lies integration weighted average algorithm handle subjective expert judgment incorporation multi-return period scenarios enhance robustness evaluation. 26 configurations were conducted Chenglong Road Subdistrict under five rainfall return 5, 10, 20, 50, 100 years. show that particularly combinations sunken green spaces permeable paving, offer significant reductions runoff peak flow, along improved flood mitigation across multiple periods. Additionally, this identifies practical implementation priorities local decision-makers. relative closeness is influenced non-calibrated parameters. However, it does not main trends key insights derived. reinforced four aspects: impact Thiessen polygon method ArcGIS, influence composite coefficient iterative optimization SWMM, effect linguistic TOPSIS weight calculation, contribution simulations different periods stability analysis.

Language: Английский

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Impact of Spatial Configuration of Bioretention Cells on Catchment Hydrological Performance Under Extreme Rainfall Conditions with Different Stormwater Flow Paths

Water, Journal Year: 2025, Volume and Issue: 17(2), P. 233 - 233

Published: Jan. 16, 2025

Bioretention cells (BCs) are widely used to manage urban runoff due their positive impact on control. Current research primarily focuses optimizing the internal structural design of bioretention cells, while studies interactions between spatial configuration, topography, and land use types limited. This study employs Storm Water Management Model (SWMM) uses extreme rainfall analyze influence typical stormwater flow paths, determined by various as well configurations catchment hydrological performance. The results show following: (1) Different paths significantly affect performance, with series-type pathways performing best. (2) configuration influences Decentralized BCs under showed better performance for reducing total outflow peak runoff, reduction rates increasing 7.1% 8.8%, centralized delayed times. (3) Stormwater BC efficiency in a path recommended priority use. provides novel perspective arrangement management, thereby contributing flood risk mitigation.

Language: Английский

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Assessing the potential for green roof retrofitting: A systematic review of methods, indicators and data sources

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106261 - 106261

Published: Feb. 1, 2025

Language: Английский

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Planning optimization of stormwater treatment plant for sustainable coal ports considering underlying surfaces stochasticity

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 72, P. 107578 - 107578

Published: March 27, 2025

Language: Английский

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Optimizing the LID Facility Layout Considering the Impacts of the Terrain Slope and Rainfall Frequency on the Implementation Cost

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Language: Английский

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Optimization of Low-Impact Development (LID) Parameters Using SWMM and Response Surface Methodology at the Community Scale

Water, Journal Year: 2025, Volume and Issue: 17(8), P. 1165 - 1165

Published: April 14, 2025

The parameters of Low-Impact Development (LID) facilities significantly influence their operational performance and runoff control effectiveness at the site. Despite extensive research on LID effectiveness, limited studies have focused optimizing design a community-wide scale, integrating both hydrological statistical methodologies. A novel approach to was presented in this study. This study established community-scale SWMM model, identified key by Morris screening method, determined reasonable parameter ranges based effects. Response Surface Methodology (RSM) applied optimize under different return periods impervious area ratios. results showed that for volume were berm height surface layer sunken greenbelt (SG_Surface_H), conductivity soil (SG_Soil_I), permeability pavement permeable (PP_Pavement_I), thickness storage (PP_Storage_T). 50–265 mm, 5–80 mm/h, 50–140 100–165 respectively. peak flow reduction SG_Surface_H, SG_Soil_I, PP_Pavement_I, vegetated swale (VS_Surface_H). 50–260 5–50 50–195 50–145 optimization rate, strategy involved increasing SG_Surface_H as period increased when ratio large, especially rehabilitation old communities. Meanwhile, optimal value SG_Soil_I greater than reduction. In contrast, PP_Pavement_I larger provides significant reference planning emphasizing parameters.

Language: Английский

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Analyzing the Mitigation Effect of Urban River Channel Flood Diversion on Waterlogging Disasters Based on Deep Learning

Water, Journal Year: 2024, Volume and Issue: 16(13), P. 1771 - 1771

Published: June 21, 2024

In recent years, urban waterlogging disasters have become increasingly prominent. Physically based simulation models require considerable computational time. Therefore, rapid and accurate prediction of pluvial floods are important for disaster prevention mitigation. For this purpose, we explored an method on a long short-term memory neural network model that integrates attention mechanism 1D convolutional (1DCNN–LSTM–Attention), using the diversion Jinshui River in Zhengzhou, China, as case study. method, 1DCNN is responsible extracting features from monitoring data, LSTM capable learning time-series data more effectively, Attention highlights impact input effectiveness. The results indicated following: (1) exhibited good accuracy. Pearson correlation coefficient exceeded 0.95. It was 50–100 times faster than InfoWorks ICM model. (2) Diversion pipelines can meet design flood standard 200-year return period, aligning with expected engineering objectives. (3) channel significantly reduced extent inundation. Under 30-year period rainfall scenario, maximum inundation area decreased by 1.46 km2, approximately equivalent to 205 international soccer fields.

Language: Английский

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Development of Multi-Objective Harris Hawks Optimization (MOHHO) Algorithm in Low-Impact Development Systems Considering the Effects of Climate Change

Physics and Chemistry of the Earth Parts A/B/C, Journal Year: 2024, Volume and Issue: 137, P. 103816 - 103816

Published: Nov. 16, 2024

Language: Английский

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Implementing LID facilities using the SWMM-EPA Model: A case study of a Korean Village in Erbil city

Journal of Hydro-environment Research, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 1, 2024

Language: Английский

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