Optimal spatial priority scheme of urban LID-BMPs under different investment periods

Hou, Jingwei; Zhu, Moyan; Wang, Yanjuan; Sun, Shiqin

doi:10.1016/j.landurbplan.2020.103858

Cited by 38 publications

(15 citation statements)

References 40 publications

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“…The varying PI in our study highlights the urgent and important opportunities to implement SC in emerging regions where large area of buildings and infrastructures have yet to be constructed, which tracks with other research showing that emerging regions are optimal areas to mitigate carbon emissions owning to sufficient construction space (Cao et al 2020). To avoid environmental problems during urbanization development, emerging regions should avoid replicating the patterns of urban planning from developed regions and instead pursue a LID strategy to achieve sustainable cities (Chatzimentor et al 2020, Hou et al 2020a). Fig.…”

Section: Management Implicationssupporting

confidence: 65%

“…Social factors were considered less important for SC planning. In most studies, urban future planning has always been ignored (Hou et al 2020a). However, these factors are indispensable;…”

Section: The Construction Of Priority Index Modelmentioning

confidence: 99%

“…Besides, hydrologically sensitive areas (HSAs) were employed to identify priority sites for LID implementation in a watershed with a geographic information system (GIS)-based framework and indicated 16% and 17% reductions in nutrient and sediment loads into receiving waters (Martin-Mikle et al 2015). Scholars have also explored the optimal spatial scheme for facilities based on multi-objective models, including information on facility efficiency and cost (Hou et al 2020a, Leng et al 2020.…”

Section: Introductionmentioning

confidence: 99%

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Prioritizing sponge city sites in rapidly urbanizing watersheds using multi-criteria decision model

Zhang

Chen

Meng

et al. 2021

Environ Sci Pollut Res

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Spatial planning is crucial for Sponge City (SC) construction; however, prioritizing SC sites at the watershed scale has not been fully explored. In this study, a multi-criteria decision model, considering demand and suitability of SC construction, was established by monitoring, model simulation and index calculation. This new model was then tested in a rapidly urbanizing watershed, Beijing, China and the priority of SC construction at both grid scale (1km×1km) and subwatershed scale was ranked.The results showed that the highest priority was found in emerging regions where urbanization is ongoing, and followed by urban core areas. In addition, six indexes were identified by clustering heatmaps as key factors affecting the priority of SC planning, including topographic index, water pollution index, pollution rate based on the state standard of surface water environment quality, urbanization planning, urban levels, and vegetation index, which could guide SC planning in data-lacking regions. The approach and findings in this study can not only provide helpful references for watershed managers and urban planners but also can be easily used in other regions.

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Section: Management Implicationssupporting

confidence: 65%

“…Social factors were considered less important for SC planning. In most studies, urban future planning has always been ignored (Hou et al 2020a). However, these factors are indispensable;…”

Section: The Construction Of Priority Index Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Prioritizing sponge city sites in rapidly urbanizing watersheds using multi-criteria decision model

Zhang

Chen

Meng

et al. 2021

Environ Sci Pollut Res

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“…When restoring the water cycle using LID, proper placement of LID facilities can maximize the e ciency of water cycle restoration (Song and Chung, 2017;Hou et al, 2020;Tang et al, 2022), but the optimal combination and spatial arrangement of LID facilities is a di cult decision-making problem that requires consideration of various evaluation criteria. Therefore, it is important to optimally determine the spatial coordination of multiple LID facilities in terms of water cycle rehabilitation (Zhang and Chui, 2018) When many con icting evaluation criteria are considered, the multi-criteria decision making (MCDM) technique can help decision-makers nd a rational choice.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the water cycle restoration of LID practices considering climate change: A case study on permeable pavement planning by an iterative MCDM model

Chae

Chung

Jiang

2022

Preprint

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Low-impact development (LID) measures have been popularly installed in many developed countries for urban runoff control and treatment. However, precipitation and temperature changes driven by climate change lead to water cycle deterioration, especially in urban watersheds. It is important to optimize LID implementations aimed at rehabilitating the water cycle in urban watersheds for climate change adaptation. To enhance the water cycle restoration of LID practices according to climate change, an iterative multi-criteria decision making (MCDM) approach is proposed to allocate permeable pavement areas while considering newly released climate change scenarios. Daily precipitation, maximum temperature, and minimum temperature were considered for the future climate environment estimated using 15 coupled model intercomparison project (CMIP) 6 general circulation models (GCMs) according to two scenarios for shared socioeconomic pathways (SSPs). The hydrological impact on the permeable pavement application was simulated using the Storm Water Management Model (SWMM). The priority of each microlevel unit for permeable pavement was robustly determined using combined MCDM methods. According to the derived priorities, every unit area of permeable pavement was iteratively allocated until it converged to the initially planned total permeable pavement area. The results of this study confirmed that different climate predictions for each GCM can affect the priority results. Furthermore, it was confirmed that the iterative process used in this study improved the water cycle restoration more efficiently than when allocating at once according to priority. The results of this study can help determine the robust LID capacity for each sub-watershed under limited resources.

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“…To control water pollution in urban stormwater runoff, researchers have developed numerous models for predicting and eliminating pollution (Wang et al 2011, Yu et al 2020. Moreover, utilization of rainwater resources has been considered to mitigate pollution (Cheng et al 2020, Hou et al 2020.…”

Section: Introductionmentioning

confidence: 99%

N, P, and COD conveyed by urban runoff: a comparative research between a city and a town in the Taihu Basin

Liu

Wang

et al. 2021

Preprint

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Stormwater runoff containing various pollutants exerts adverse effects on receiving water bodies and deteriorates the urban aquatic environment. Although numerous studies have been conducted on runoff pollution, research comparing its characteristics in cities with those in towns is rare in the literature. To close this gap, the present study was conducted. The outflow concentration and peak value of N in the town were higher than those in the city in most conditions (at 75% and 67%, respectively). The second peak value of P in the town was higher and occurred earlier than the city. EMCs of TN and DTN in the town were 20%–60% (10%–50%) higher than those in the city. DTP accounted for 76.9%–83.3% of the total P (TP) in the town, which was generally higher than the city values of 50%–87.5%. According to our results, road runoff in the town contributed more to urban aquatic pollution, thus further research should concentrate on this particular type of runoff.

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Optimal spatial priority scheme of urban LID-BMPs under different investment periods

Cited by 38 publications

References 40 publications

Prioritizing sponge city sites in rapidly urbanizing watersheds using multi-criteria decision model

Prioritizing sponge city sites in rapidly urbanizing watersheds using multi-criteria decision model

Enhancing the water cycle restoration of LID practices considering climate change: A case study on permeable pavement planning by an iterative MCDM model

N, P, and COD conveyed by urban runoff: a comparative research between a city and a town in the Taihu Basin

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