Characterizing the level of urban Flood vulnerability using the social-ecological-technological systems framework, the case of Adama city, Ethiopia

Leta, Bikila Merga; Adugna, Dagnachew

doi:10.1016/j.heliyon.2023.e20723

Cited by 5 publications

(2 citation statements)

References 88 publications

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“…Some studies have indicated that the dimensions of urban ecological resilience and infrastructure resilience are of significant importance in assessing the recovery capability from flood events [36]. Urban areas with ecological vulnerabilities are highly susceptible to flooding and waterlogging [37][38][39], highlighting the crucial impact of ecology on the recovery capacity from urban waterlogging. Urban ecological resilience, with its connotations of ecological resources and environmental restoration, is a suitable dimension for assessment.…”

Section: Primary Indicatorsmentioning

confidence: 99%

Characteristics of Urban Flood Resilience Evolution and Analysis of Influencing Factors: A Case Study of Yingtan City, China

Yuan,

Wang,

Wang

et al. 2024

Water

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Intense climate change and rapid urbanization have increased the risk of urban flooding, seriously affecting urban economic and social stability. Enhancing urban flood resilience (UFR) has required a new solution to cope with urban flood disasters. In this study, taking Yingtan city as an example, a system of indicators for evaluating UFR was constructed, with 17 representative indicators, comprising three subsystems: socio-economic, ecological, and infrastructural. A hybrid model combining Fuzzy Analytic Hierarchy Process (FAHP), Entropy Weight Method (EWM), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied, to develop an index-based measurement to compare and evaluate UFR, and Gray Relational Analysis (GRA) was used to discover the main factors affecting UFR. In addition, the natural discontinuous method was innovatively used to divide the UFR grade interval into levels, and the grade change was evaluated based on the TOPSIS method. The results showed that (1) From 2010 to 2022, the UFR in Yingtan City increased by 80.69%, and the factors affecting UFR were highly correlated with urban infrastructure development; however, the ecological resilience in the subsystem showed a fluctuating downward trend because of the influence of the surface area of lakes and rivers; (2) The grades of UFR for Yingtan City increased from Level III (2010 and 2016) to Level IV (2022), with local financial expenditures and the age structure of the population being the main factors currently limiting the development of UFR. The study provides a theoretical basis for the construction of an indicator system for assessing the UFR of Yingtan and proposes practical improvement directions for UFR.

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Section: Primary Indicatorsmentioning

confidence: 99%

Characteristics of Urban Flood Resilience Evolution and Analysis of Influencing Factors: A Case Study of Yingtan City, China

Yuan,

Wang,

Wang

et al. 2024

Water

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“…The study evaluated existing mitigation measures and proposed tailored strategies for enhancing community resilience, aligning with previous works on flood vulnerability assessment and resilience planning. While studies byXu et al (2023) andLeta and Adugna (2023) emphasize analytical methods and community engagement,Yang et al (2021) focused on regional resilience in China. Contrary to studies byChisty et al (2022) andIsia et al (2023), which highlighted gender disparities and vulnerability dimensions, respectively, our research delved into specific influencing factors in the Ngororero context.…”

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confidence: 99%

Assessing Flood Vulnerability Zones and Their Driving Factors to Guide Community-Based Resilience Planning Across Ngororero District, Rwanda

2024

JOA

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Floods are recognized as devastating and deleterious natural disasters which are contemporary substantial threats to communities, exerting profound impacts on human lives, infrastructure, and the environment. Hence, the aims of this research were to assess and map the flood vulnerability zones, determine the primary local factors driving flood vulnerability, and evaluate the existing flood mitigation measures and propose evidence-based recommendations for enhancing community-based flood resilience. Using an integrated approach, this study combined remote sensing, Geographic Information Systems (GIS) techniques and expert knowledge, to map and model flood vulnerability zones, determining the risk levels using the AHP model considering a set of driving independent variables including elevation, slope, rainfall, land use/land cover (LULC), soil type, distance to streams, distance to roads, flow accumulation, and topographic wetness index (TWI). The results of the study for the first objective showed that 66.6% of the area classified as very high and high vulnerability zones, mainly in the northern and north-western regions. Moderately vulnerable areas covered 18.1%, predominantly in the southern and central parts, while low and very low vulnerability zones comprised 15.3%, mainly in the central and north-eastern regions. This highlights the heterogeneous distribution of vulnerability across the district, emphasizing the need for tailored mitigation strategies. The results of the second objective revealed rainfall (26.7%), proximity to rivers (21.4%), flow accumulation (13.3%), and LULC (12.5%) as the most influencing factors to flood vulnerability in the study area. In addition, the soil texture (9.4%) and elevation (8.2%) exhibited moderate influence, while TWI (4.1%), proximity to roads (2.8%), and slope (1.6%) disclosed a low influence. Understanding these factors enables prioritization of mitigation efforts, focusing on addressing rainfall patterns and proximity to rivers. The third objective suggested sustainable land management practices such as afforestation, agroforestry, terracing, and engineering strategies such as dam construction, resilient drainage systems in addition to strengthening

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Hydro-Morphometric Analysis for Flood Potential Assessment in Swarna Watershed, Karnataka, India: Implication on Coastal Water Conservation and Protection

T.,

2024

Water Conserv Sci Eng

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Characterizing the level of urban Flood vulnerability using the social-ecological-technological systems framework, the case of Adama city, Ethiopia

Cited by 5 publications

References 88 publications

Characteristics of Urban Flood Resilience Evolution and Analysis of Influencing Factors: A Case Study of Yingtan City, China

Characteristics of Urban Flood Resilience Evolution and Analysis of Influencing Factors: A Case Study of Yingtan City, China

Assessing Flood Vulnerability Zones and Their Driving Factors to Guide Community-Based Resilience Planning Across Ngororero District, Rwanda

Hydro-Morphometric Analysis for Flood Potential Assessment in Swarna Watershed, Karnataka, India: Implication on Coastal Water Conservation and Protection

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