Comprehensive effect evaluation of LID facilities implemented in sponge campuses: A case study

Fei, Yiming; Rene, Eldon R.; Shang, Qingyu; Singh, Rajendra Prasad

doi:10.1016/j.ecolind.2023.110912

Cited by 6 publications

(4 citation statements)

References 44 publications

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“…The stormwater facility combination scenarios integrated source, process, and terminal stormwater management facilities, as depicted in Table 6 and Figure 3. Bioretention ponds cover 7% of the area in the attached green space, shallow grassed swales cover 10% of the area in the public green space along municipal roads, and stormwater detention basins cover 7% of the area within the public green space arranged along the riverfront [5,78] Water 2024, 16, x FOR PEER REVIEW 11 of 32…”

Section: Representative Ugi Scenariosmentioning

confidence: 99%

“…Combined stormwater management scenario Bioretention ponds, grassed swales, and stormwater detention basin Bioretention ponds cover 7% of the area in the attached green space, shallow grassed swales cover 10% of the area in the public green space along municipal roads, and stormwater detention basins cover 7% of the area within the public green space arranged along the riverfront [5,78] Figure 3. Urban green infrastructure scenarios.…”

Section: S4mentioning

confidence: 99%

“…Rong et al [99] explored the optimal advantages of managing flood flow, total suspended solids' (TSS) discharge, and runoff coefficients using a suite of source control facilities, including green roofs, permeable pavements, and bioretention ponds, during recurrent flood events. Moreover, at site scales like urban neighbourhoods, campuses, and airports, source control facilities such as bioretention ponds and rain gardens demonstrate considerable superiority over other LID structures in managing runoff control rates, reducing TSS loads, and enhancing toxic removal rates under conditions of frequent heavy rainfall [78,100,101].…”

Section: Ugi For the Mitigation Of The "Gray Rhino" Phenomenonmentioning

confidence: 99%

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Assessing the Lifecycle Environmental Resilience of Urban Green Infrastructures Coping with Acute Disturbances and Chronic Stresses

Xue,

Luan,

Fan

et al. 2024

Water

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Urban green infrastructure (UGI), a key component of nature-based solutions (NbSs), plays a vital role in enhancing urban resilience. Nonetheless, the absence of a thorough resilience evaluation for UGI has hindered the efficacy of its design and implementation. This article proposes an innovative urban environmental resilience index (ERI) framework designed to evaluate the lifecycle performance of UGI. First, a coupled environmental resilience evaluation system is proposed that encompasses indicators for the adaptation to acute disturbances and the mitigation of chronic pressures. Second, the inventive formulas for calculating the environmental resilience index are presented, which establish the weighting of indicators through Delphi-analytic hierarchy process (AHP) analysis, and the Storm Water Management Model (SWMM), GaBi, and i-Tree models are employed for the quantitative assessment. Third, four representative UGI scenarios in urban built-up areas have been selected for comparative analysis and in-depth discussion by calculating the resilience index. This research presents UGI solutions as adaptive measures for “Black Swan” events and “Gray Rhino” phenomena, offering significant case studies and methodological frameworks which will inform future endeavours in green and sustainable urban development.

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Section: Representative Ugi Scenariosmentioning

confidence: 99%

Section: S4mentioning

confidence: 99%

Section: Ugi For the Mitigation Of The "Gray Rhino" Phenomenonmentioning

confidence: 99%

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Assessing the Lifecycle Environmental Resilience of Urban Green Infrastructures Coping with Acute Disturbances and Chronic Stresses

Xue,

Luan,

Fan

et al. 2024

Water

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“…Currently, research on the spatial scale of inundation focuses on the spatial distribution characteristics and risk identi cation of inundation points and inundation zones (Jiang and Qin, 2023;Roy et al, 2021), the assessment of waterlogging vulnerability (Mruksirisuk et al, 2023), and the spatial heterogeneity of factors affecting inundation (Liu et al, 2023); while the time scale of inundation, scholars have used various peaks and peak times (outfall ow, surface runoff, and rainfall) as an effective means to quantify the ability to mitigate the ooding process. The combination of LID facilities to alleviate ooding pressure is widely used (Hua et al, 2020), and the effectiveness of LID facilities in reducing runoff has been well documented (Fei et al, 2023;Yang et al, 2021). In terms of impacts on the peak recurrence time, it is generally recognized that LID facilities delay the peak urban runoff and the peak discharge ow (He et al, 2022;Koc et al, 2021;Li et al, 2017; Sui and van de Ven, 2023), and there is also the phenomenon that the effect of the peak present time lag is not signi cant (Wu et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Influence of rainfall pattern and infiltration capacity on the spatial and temporal inundation characteristics of urban waterlogging

Jiang,

Li,

et al. 2024

Environ Sci Pollut Res

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The rapid development of the city leads to the continuous updating of the ratio of land use allocation, especially during the ood season, which will exacerbate the signi cant changes in the spatial and temporal patterns of urban ooding, increasing the di culty of urban ood forecasting and early warning. In this study, the spatial and temporal evolution of ooding in a high-density urban area was analyzed based on the Mike Flood model, and the in uence mechanisms of different rainfall peak locations and in ltration rate scenarios on the spatial and temporal characteristics of urban waterlogging were explored. The results revealed that under the same return period, the larger the rainfall peak coe cient, the larger the peak value of inundation volume and inundation area. When the rainfall peak coe cient is small, the higher the return period is, and the larger the peak lag time of the inundation volume is, in which P = 50a, r = 0.2, the delay time of the inundation volume for the inundation depths H > 0.03 m and H > 0.15 m reached 32 min and 45 min, respectively, At the same time, there are also signi cant differences in the peak lag time of waterlogging inundation volume in different inundation depths. The greater the inundation depth, the longer the peak lag time of waterlogging inundation volume, and the higher the return period, the more signi cant the effect of lag time prolongation. It is worth noting that the increase in in ltration rate will lead to the advance of the peak time of inundation volume and inundation area, and the peak time of the inundation area is overall more obvious than that of inundation volume. The peak times of inundation volume and inundation area were advanced by 4 ~ 8 min and − 2 ~ 9 min for H > 0.03 m and H > 0.15 m, respectively, after the increase in in ltration rate; and the higher the return period, the smaller the rainfall peak coe cient and the longer the advance time. The spatial and temporal characteristics of waterlogging under different peak rainfall locations and in ltration capacities obtained in this study can help provide a new perspective for temporal forecasting and warning of urban waterlogging.

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Block-scale use of bioretention cells to restore the urban water balance: A case study in Tehran metropolis

Mehri,

Hashemy Shahdany,

Javadi

et al. 2024

Journal of Hydrology: Regional Studies

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Comprehensive effect evaluation of LID facilities implemented in sponge campuses: A case study

Cited by 6 publications

References 44 publications

Assessing the Lifecycle Environmental Resilience of Urban Green Infrastructures Coping with Acute Disturbances and Chronic Stresses

Assessing the Lifecycle Environmental Resilience of Urban Green Infrastructures Coping with Acute Disturbances and Chronic Stresses

Influence of rainfall pattern and infiltration capacity on the spatial and temporal inundation characteristics of urban waterlogging

Block-scale use of bioretention cells to restore the urban water balance: A case study in Tehran metropolis

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