Runoff Effect Evaluation of LID through SWMM in Typical Mountainous, Low-Lying Urban Areas: A Case Study in China

Luan, Qinghua; Fu, Xiaoran; Chen, Song; Wang, Haichao; Liu, Jiahong; Wang, Ying

doi:10.3390/w9060439

Cited by 73 publications

(43 citation statements)

References 21 publications

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“…Few studies (Pickerill and Maxey, 2009) concern the available space for implementation of LIDs in urbanized areas. Implementation area assumption was typically used in the earlier studies on flood mitigation of LIDs (Luan et al, 2017;Ahiablame et al, 2013). In fact, the retrofitting spaces are restricted in built-up areas due to the limitation of land, resident orientation, and complex urban environment (Talen, 2011).…”

Section: Introductionmentioning

confidence: 99%

Flood mitigation performance of low impact development technologies under different storms for retrofitting an urbanized area

Zhang

Liu

et al. 2019

Journal of Cleaner Production

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Low impact development technologies (LIDs) have been reported as alternatives to mitigate urban water-related hazards, particularly for urban flooding. However, the effectiveness of LIDs on flood mitigation is still not well understood. This study assessed the mitigation extent of urban flooding by LIDs for retrofitting an urbanized area at a feasible level using a hydrological model. A range of storms with different rainfall durations and amounts from intensity-duration-frequency curves were used to evaluate the hydrological performances of LIDs. The results indicated that LIDs were effective alternatives to mitigate urban flooding in the urbanized area. Surface runoff and peak flow decreased by 18.6-59.2% and 8-71.4%, respectively. However, the flood mitigation performance decreased markedly with the increase of rainfall amount. Although LIDs were less effective in flood mitigation during shorter and heavier storms, the performance was better with the increase of rainfall duration. This research provides an insight into flood reduction capabilities of LIDs under different rainfall characteristics for retrofitting built up areas, which is useful for urban storm management.

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Section: Introductionmentioning

confidence: 99%

Flood mitigation performance of low impact development technologies under different storms for retrofitting an urbanized area

Zhang

Liu

et al. 2019

Journal of Cleaner Production

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“…Rosa et al 2015). Still, most watershed stormwater studies were hypothetical (i.e., without comparison to empirical data) with authors using SWMM to calculate the benefits of future GI scenarios: (Luan et al 2017;Tao et al 2017). Krebs et al (2013) presented parameter sensitivity analysis for a high-resolution, highly urbanized small subcatchment in Finland.…”

Section: Performance Of Models For Lid Unitsmentioning

confidence: 99%

Testing of the Storm Water Management Model Low Impact Development Modules

Platz

Simón

Tryby

2020

J American Water Resour Assoc

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Research Impact Statement: This work was performed to test the low impact development modules in SWMM, a model used by practitioners to assist in sizing stormwater and wastewater infrastructure.ABSTRACT: Stormwater infrastructure designers and operators rely heavily on the United States Environmental Protection Agency's Storm Water Management Model (SWMM) to simulate stormwater and wastewater infrastructure performance. Since its inception in the late 1970s, improvements and extensions have been tested and evaluated rigorously to verify the accuracy of the model. As a continuation of this progress, the main objective of this study was to quantify how accurately SWMM simulates the hydrologic activity of low impact development (LID) storm control measures. Model performance was evaluated by quantitatively comparing empirical data to model results using a multievent, multiobjective calibration method. The calibration methodology utilized the PEST software, a Parameter ESTimation tool, to determine unmeasured hydrologic parameters for SWMM's LID modules. The calibrated LID modules' Nash-Sutcliffe efficiencies averaged 0.81; average percent bias (PBIAS) À9%; average ratio of root mean square error to standard deviation of measured values 0.485; average index of agreement 0.94; and the average volume error, simulated vs. observed, was +9%. SWMM accurately predicted the timing of peak flows, but usually underestimated their magnitudes by 10%. The average volume reduction, measured outflow volume divided by inflow volume, was 48%. We had more difficulty in calibrating one study, an infiltration trench, which identified a significant limitation of the current version of the SWMM LID module; it cannot simulate lateral exfiltration of water out of the storage layers of a LID storm control measure. This limitation is especially severe for a deep LIDs, such as infiltration trenches. Nevertheless, SWMM satisfactorily simulated the hydrologic performance of eight of the nine LID practices.(

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“…(2) Effectiveness of multiple NBS sites There are several studies which have evaluated the performance of multiple (or combined) NBS measures (see for example, Damodaram et al, 2010;Earthman et al, 2012;Huang et al, 2014;Luan et al, 2017). One of the most successful international projects in combining several NBS measures at the urban scale is the "Sponge City Programme (SCP)" in China.…”

Section: (1) Effectiveness Of a Single/individual Nbs Sitementioning

confidence: 99%

Nature-Based Solutions for hydro-meteorological risk reduction: A state-of-the-art review of the research area

Ruangpan¹,

Vojinović²,

Sabatino³

et al. 2019

Preprint

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Abstract. Natural hazards such as severe floods, storm surges, landslides, avalanches, hail, windstorms, droughts, heat waves and forest fires occur almost daily. This situation is likely to become worse given the projected changes in climate, degradation of ecosystems, population growth and urbanisation. The new concepts such as Ecosystem-based Adaptation, Green Infrastructure and/or Nature-Based Solutions have emerged as effective means to respond to such challenges. The present paper provides a critical review of the literature and identifies current knowledge gaps and future research prospects. There has been an explosion of scientific publications on this topic with a more significant rise taking place from 2007 onwards. Hence, the review process started by sourcing 1381 articles from Scopus which were also cross-referenced with the articles sourced from Web of Science and Google Scholar. The full analysis was performed on 159 closely related articles. The analysis confirmed that numerous advancements have been achieved to date. These solutions have already proven to be valuable in providing sustainable, cost-effective, multi-purpose and flexible means for hydro-meteorological risk reduction. However, there are still many areas where further research and demonstration is needed in order to promote their upscaling and replication and to make them become mainstream solutions.

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Runoff Effect Evaluation of LID through SWMM in Typical Mountainous, Low-Lying Urban Areas: A Case Study in China

Cited by 73 publications

References 21 publications

Flood mitigation performance of low impact development technologies under different storms for retrofitting an urbanized area

Flood mitigation performance of low impact development technologies under different storms for retrofitting an urbanized area

Testing of the Storm Water Management Model Low Impact Development Modules

Nature-Based Solutions for hydro-meteorological risk reduction: A state-of-the-art review of the research area

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