Optimal adaptation pathway for sustainable low impact development planning under deep uncertainty of climate change: A greedy strategy

Xu, Te; Li, Ke; Engel, Bernard A.; Jia, Haifeng; Leng, Linyuan; Sun, Zhaoxia; Yu, Shaw L.

doi:10.1016/j.jenvman.2019.109280

Cited by 35 publications

(17 citation statements)

References 44 publications

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“…Compared with monitoring, simulating can effectively reduce manpower, material resources and time investment for saving costs, and improve application and research efficiency (Ketabchy et al, 2019). At present, LIDs simulation is mainly integrated into the hydrological models in the form of functional components or plug-ins, such as MUSIC, MOUSE, P8-UCM, PURRS, SLAMM, Storm Tac, SWMM, SUSTAIN (Wang et al, 2010), and L-THIA (Xu et al, 2019). In comparison with other models, SWMM (storm water management model) provides more complete LIDs components (Gisvold et al, 2019;Thakali et al, 2018), and supports the distributed, long-term continuous simulation (Campisano et al, 2016), which could improve the results due to climate and underlying spatial heterogeneity.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Effectiveness evaluation of the coupled LIDs from the watershed scale based on remote sensing image processing and SWMM simulation

Chen

Tan

Wan

et al. 2020

European Journal of Remote Sensing

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In this paper, based on remote sensing image processing and SWMM simulation, we evaluate the effectiveness of a coupled LIDs system for the watershed scale. The main content and contributions include: 1) the extraction and classification of historical and recent LULC data (in 1979, 1989, 1999, 2009, 2017) of the study area and an analysis of the characteristics of the LULC change; 2) a watershed-based SWMM applied to the simulation of the runoff and an analysis of the runoff change characteristics; 3) the proposal and design of three coupled LIDs scenarios which treat runoff change as evaluation metric to systematically discuss the effectiveness of LIDs in the watershed. The results show that the combination structure and scale can significantly affect the coupled LIDs effectiveness. A system with multiple LIDs is more effective than one with only single LIDs. With the increase of spatial scale, the effectiveness of the coupled LIDs gradually weakens. Our research enriches the application scale of LIDs and SWMM, and can be beneficial to the construction of the "Sponge City", storm management and urban planning.

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Section: Introductionmentioning

confidence: 99%

RETRACTED ARTICLE: Effectiveness evaluation of the coupled LIDs from the watershed scale based on remote sensing image processing and SWMM simulation

Chen

Tan

Wan

et al. 2020

European Journal of Remote Sensing

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“…In another example, Yazdi and Khazaei (2019) [83] tested the harmony search algorithm on the SWMM model in Tehran, Iran, to find the optimal place and size of online/offline detention ponds in a GSI network that would maximize the effectiveness of urban flood attenuation. Like Xu et al [82], the authors also included cost as a significant part of the harmony search algorithm they developed. Giacomoni (2015) [84] also developed a multi-objective evolutionary algorithm (MOEA) to optimally site GSI so that hydrological effectiveness is maximized.…”

Section: Optimization Typementioning

confidence: 99%

Interdisciplinary Inquiry and Spatial Green Stormwater Infrastructure Research

2022

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The use of vegetation and infiltration into soils to manage stormwater and water quality—called green stormwater infrastructure (GSI)—is now widely recognized as a viable alternative or supplement to the pipes and pumps of conventional, or “gray”, drainage infrastructure. Over the years, much research has emerged regarding spatial aspects of GSI implemented at large scales, including where it is located, where it should be located, and what metrics best represent the benefits it brings to different locations. Research in these areas involves expertise from multiple academic disciplines, but it is unclear whether and how researchers from different disciplines identify and approach questions related to the spatiality of GSI. By adopting the explanatory sequential mixed method design, we identified four categories of spatial GSI studies through a literature review of over 120 research papers: empirical, ecological, decision support systems, and optimization. Here, we present representative examples of these categories of spatial GSI studies, as well as associations between the academic disciplines represented in these categories of spatial GSI papers. Then, we conducted semi-structured interviews with a sample of GSI researchers which revealed the value of interdisciplinary training and knowledge. Finally, in this paper, we identify several gaps that could be addressed to improve interdisciplinary research on GSI implementation, and sustainability transitions in general.

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“…Aerts et al (2014) simulated 549 storm-surge simulations, varying from extremely low probability events to more frequent storms, using a coupled hurricane-hydrodynamic-inundation model to build up a flood risk probabilistic model for New York in the US. As stated by Xu et al (2019), LIDs simulation is mainly integrated into the hydrological models in the form of functional components or plug-ins, such as MUSIC, MOUSE, P8-UCM, PURRS, SLMM, Storm Tac, SWMM, SUSTAIN, and L-THIA.…”

Section: Literature Reviewmentioning

confidence: 99%

Flash Floods Exposure Assessment Model for DRR Oriented Adaptive Planning in High-density Urban Areas

Zou¹,

Su²

2021

Proceedings of the 57th ISOCARP World Planning Congress

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Rapid urbanization in China is placing increased pressure on urban drainage infrastructure. Northeast coastal cities are susceptible to flood damage from typhoons and climate change is expected to produce more extreme weather events. Urban planners and local governments need better risk assessment tools to plan for future extreme events. An open data based exposure assessment model has been developed for disaster risk reduction (DRR) oriented adaptive urban plan making based on the understanding of flash floods risk in high-density urban areas under future climate scenarios. The proposed model is based on hydrological simulation, which accuracy is sensitive to the precision of input digital elevation model (DEM). A regression kriging based geointerpolation method is employed to reshape ground surface by increasing precision of global coverage ASTER GDEM from 30m to 10m. Time component is introduced to the Horton's water permeation model. The parameter of permeation speed limitation is critical to this model; initial values are taken from published Land Classification Codes and adjusted according to the field surveys and observation records. Shekou community in Shenzhen is a case study to verify the proposed model. Two most common scenarios are tested. One is a storm at low-tide condition, with a fully functional urban drainage system. This scenario is simulated by using historical rainfall data from Meteorological Bureau. The other scenario is a typhoon occurring at high-tide, which means urban drainage system is partially malfunctioned. The simulation results show high agreement with both the historical record and satellite observations. Based on the understanding of flash floods exposure assessment and the temporal-spatial distribution of the risk, DRR oriented adaptive urban plans can be made.

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Optimal adaptation pathway for sustainable low impact development planning under deep uncertainty of climate change: A greedy strategy

Cited by 35 publications

References 44 publications

RETRACTED ARTICLE: Effectiveness evaluation of the coupled LIDs from the watershed scale based on remote sensing image processing and SWMM simulation

RETRACTED ARTICLE: Effectiveness evaluation of the coupled LIDs from the watershed scale based on remote sensing image processing and SWMM simulation

Interdisciplinary Inquiry and Spatial Green Stormwater Infrastructure Research

Flash Floods Exposure Assessment Model for DRR Oriented Adaptive Planning in High-density Urban Areas

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