Sub-catchment-based urban flood risk assessment with a multi-index fuzzy evaluation approach: a case study of Jinjiang district, China

Ying, Xuejin; Ni, Ting; Lu, Mingxia; Li, Zongmin; Lü, Yi; Bamisile, Olusola; Pelling, Mark

doi:10.1080/19475705.2023.2182173

Cited by 11 publications

(3 citation statements)

References 36 publications

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“…Accordingly, in the process of evolving from qualitative to quantitative analysis, flood risk analysis has gradually begun to adopt theoretical methods such as uncertainty computation, fuzzy sets, and probability theory. Fuzzy integrated assessment methods have been successfully applied to flood risk assessment [9,14,20]. However, these strategies are limited by their inability to account for the randomness and uncertainty of the indices.…”

Section: Related Workmentioning

confidence: 99%

Flood Risk Assessment Based on a Cloud Model in Sichuan Province, China

Liu,

Wang,

et al. 2023

Sustainability

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Floods are serious threats to the safety of people’s lives and property. This paper systematically introduces the basic theories and methods of flood risk assessment, takes Sichuan Province as the study area, and establishes a flood risk assessment index system with 14 indicators in four aspects—disaster-causing factors, disaster-forming environment, disaster-bearing body, and regional disaster resilience capacity—from the causes of disaster losses and flood formation mechanisms. Furthermore, this paper constructs a flood disaster risk assessment model for Sichuan Province based on a cloud model, entropy value, and GIS technology. The model is validated by taking the July–August 2023 flood disaster as an example, and the results show that the distribution of the disaster was consistent with the flood risk assessment results of this paper, which verifies that the selected indicators are appropriate and the model is accurate and valid.

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Section: Related Workmentioning

confidence: 99%

Flood Risk Assessment Based on a Cloud Model in Sichuan Province, China

Liu,

Wang,

et al. 2023

Sustainability

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“…Disturbed by extreme weather events, the composition, structure, productivity and carbon sink capacity of forest ecosystems are damaged to varying degrees (Piao et al, 2019). In recent years, there is an intensification of climate extremes with global warming, such as extreme precipitation (Donat et al, 2013; Ying et al, 2023) and drought (Lee et al, 2020). In drought years, some tree species failed to adapt to changing climate and still maintain high g c , which means high transpiration rate, thus they are prone to die due to the water shortage (Gu et al, 2017; Song et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Variation in canopy conductance of Cunninghamia lanceolata forest and its response to environmental factors after an extreme rainfall event

Xing,

Cheng,

Yang

et al. 2024

Hydrological Processes

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Canopy conductance (gc) is a crucial parameter in simulating evapotranspiration and modulating water exchange, but its variation mechanism has regional uncertainties and complex environmental co‐controls. In addition, the effect of extreme rainfall on gc cannot be ignored under the changing climate. Here, we investigated the variation and environmental controls on gc and the effect of extreme rainfall events in a Cunninghamia lanceolata forest across the subtropical area of Southern China. In July 2020, an extreme rainstorm hit the source area of the Xin'an River, with the cumulative rainfall on July 7 and 8 reaching 216.6 mm. The thermal diffusion probe method was used to measure the density of sap flow, and the environmental factors such as air temperature (Ta), net solar radiation (Rn) and soil water content (SWC) were monitored during the growing seasons of 2020 and 2021. Ultimately, gc obtained by the Penman‐Monteith equation was adopted since the result from the Köstner equation was overestimated. gc showed a unimodal curve on the diurnal scale, and this characteristic was more obvious after the extreme rainfall. Daily gc appeared a fluctuating pattern with a maximum in summer. gc was simultaneously affected by Ta, Rn, water vapour pressure difference (VPD), SWC, among which Ta was the most significant driving factor at both the diurnal and daily timescales. The regulation of Ta, VPD and SWC on gc had obvious thresholds, and the most definite response mode was VPD (2020: 1.25 kPa; 2021: 0.95 kPa). SWC and Ta were the dominant factors after the rainfall period, and the promotion effect of VPD on post‐rainy days turned to inhibition effect on typical sunny days. These findings will further reveal the water exchange mechanism between atmosphere and vegetation and impacts of environmental factors in subtropical coniferous forests, especially after the extreme rainfall events.

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“…This approach facilitates the systematic evaluation and ranking of flood control alternatives, leading to more robust and transparent decisionmaking processes. Moreover, fuzzy logic and neuro-fuzzy systems have been employed in flood risk assessment, incorporating uncertainties, and expert knowledge (Kelly et al, 2023;Khatooni et al, 2023;Ying et al, 2023). These methods offer flexibility in dealing with the imprecision and vagueness associated with flood-related data and provide valuable insights for decision-making.…”

mentioning

confidence: 99%

Using multi‐criteria decision‐making methods in prioritizing structural flood control solutions: A case study from Iran

Hamidifar,

Yaghoubi,

Rowinski

2024

J Flood Risk Management

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Effective management of flood risks requires the prioritization of appropriate flood control solutions. This study aims to prioritize structural flood control options using multi‐criteria decision‐making (MCDM) methods. Four MCDM methods, namely analytic hierarchy process, technique for order preference by similarity to ideal solution, multi‐criteria optimization and compromise solution, and Fuzzy‐VIKOR are employed to assess and rank the flood control options based on multiple criteria. Field surveys, interviews with local authorities and experts, and on‐site assessments of existing flood control structures constituted the primary data collection methods. The findings demonstrate the effectiveness of reservoir dams, retention basins, and levees as viable solutions. Conversely, flood control gates and the no‐project options were assigned lower priorities. The findings highlight the importance of considering multiple MCDM methods to account for variations in rankings. The study provides valuable insights into the decision‐making process for prioritizing flood control options in the study area. These findings can assist policymakers and stakeholders in effectively allocating resources and implementing appropriate structural flood control measures to mitigate flood risks.

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Sub-catchment-based urban flood risk assessment with a multi-index fuzzy evaluation approach: a case study of Jinjiang district, China

Cited by 11 publications

References 36 publications

Flood Risk Assessment Based on a Cloud Model in Sichuan Province, China

Flood Risk Assessment Based on a Cloud Model in Sichuan Province, China

Variation in canopy conductance of Cunninghamia lanceolata forest and its response to environmental factors after an extreme rainfall event

Using multi‐criteria decision‐making methods in prioritizing structural flood control solutions: A case study from Iran

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