Geo-spatial Assessment of Flood Vulnerability Areas of the Gaza Strip Towards Preparedness and Humanitarian Response Planning

Eshtawi, Tamer; Abdellatif, Mahmoud A.; Matar, Diane A.

doi:10.52939/ijg.v17i6.2063

Cited by 3 publications

(3 citation statements)

References 7 publications

(8 reference statements)

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“…Geographic information analysis in Fagge, Kano State, revealed flood vulnerability factors such as elevation, drainage, geology, land use, rainfall, soil, and slope (Azua et al, 2019). Similar studies in Muscat, Oman; the Czech Republic; Gaza; England; Bellary, India; Kano and Bayelsa States in Nigeria underscore the role of soil properties in flooding (Ladislav et al, 2014;Mahabaleshwara and Nagabhushan, 2014;Timothy et al, 2017;Azua et al, 2019;Hanan and Rifaat, 2020;Achimota et al, 2021;Eshtawi et al, 2021;Temi et al, 2021). Emmanuel, et al (2015), used Geographic information system and remote sensing to analyze flood hazards and damages of past events in Anambra state.…”

Section: Introductionmentioning

confidence: 74%

Integrated assessment of flood susceptibility and exposure rate in the lower Niger Basin, Onitsha, Southeastern Nigeria

Chinedu,

Ezebube,

Uchegbu

et al. 2024

Front. Earth Sci.

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BackgroundVarious methods have been utilized to investigate and mitigate flood occurrences, yet there is a paucity of literature on factors, such as soil compositions, that contribute to persistent flooding in river basins like the Lower Niger catchment, specifically at Onitsha. Furthermore, the study seeks to furnish essential geospatial data concerning flood vulnerability, flood risks, and exposure rates in the Lower Niger Catchment area, situated in Onitsha, southeastern Nigeria.Materials and methodsSoil samples were collected from 10 specific locations identified through GPS and ground-truthing techniques. Additionally, satellite imagery from the Landsat Enhanced Thematic Mapper (ETM +) was utilized, with supervised classification employed to extract feature classes. Analysis operations were conducted using IDRISI software, resulting in the creation of digital elevation models (DEMs), susceptibility maps, and flood-risk zones.ResultsAnalysis revealed that the predominant soil composition in the study area comprises sandy (84.8%), silt (8.1%), and clayey (7.1%) soils. Utilizing these soil characteristics alongside relevant aerial data, exposure rates were determined at various scales to delineate the most flood-vulnerable zones in the basin. It was found that certain areas, accommodating a population exceeding 79,426 across 2,926.2 ha, were particularly susceptible to flooding. Notably, major markets such as Bridgehead, Textile, and Biafra were identified as highly susceptible, with varying degrees of risk. The prevalence of sandy soil, which facilitates increased rainwater infiltration but is also prone to rapid saturation and runoff, likely contributes to the heightened susceptibility to flooding in these areas.ConclusionGeospatial analysis employing remote sensing data indicates the high susceptibility and exposure to flooding in the lower Niger River Basin around Onitsha. Urgent mitigation efforts are imperative, necessitating the establishment of zoned areas equipped with effective drainage systems to safeguard vulnerable populations.

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Section: Introductionmentioning

confidence: 74%

Integrated assessment of flood susceptibility and exposure rate in the lower Niger Basin, Onitsha, Southeastern Nigeria

Chinedu,

Ezebube,

Uchegbu

et al. 2024

Front. Earth Sci.

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“…In particular, ecosystem vulnerability refers to the sensitivity and resilience of ecosystems to external disturbances. This vulnerability has become widespread worldwide [13]. Further, ecosystem vulnerability and renewable energy assessment [1] results indicate that energy cleanability is an encouraging and significant factor in reducing climate change.…”

Section: Empirical Literature Reviewmentioning

confidence: 99%

Clean energy transition and climate vulnerabilities: A comparative analysis of European and non-European developed countries

Caijuan,

Javeed Akhtar,

Rehman

et al. 2024

PLoS ONE

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Currently, the world faces an existential threat of climate change, and every government across the globe is trying to come up with strategies to tackle the severity of climate change in every way possible. To this end, the use of clean energy rather than fossil fuel energy sources is critical, as it can reduce greenhouse gas emissions and pave the way for carbon neutrality. This study examines the impact of the energy cleanability gap on four different climate vulnerabilities, such as ecosystem, food, health, and housing vulnerabilities, considering 47 European and non-European high-income countries. The study considers samples from 2002 to 2019. This study precedes the empirical analysis in the context of a quadratic relationship between the energy cleanability gap and climate vulnerability. The study uses system-generalized methods of the moment as the main technique, while panel quantile regression is a robustness analysis. Fixed effect and random effect models have also been incorporated. The study finds that the energy cleanability gap and all four climate vulnerabilities demonstrate a U-shaped relationship in both European and non-European countries, implying that when the energy cleanability gap increases, climate vulnerability decreases, but after reaching a certain threshold, it starts to increase. Development expenditure is found to be negatively affecting food and health vulnerabilities in European nations, while it increases food vulnerability and decreases health vulnerability in non-European nations. Regarding industrialization’s impact on climate vulnerabilities, the study finds opposite effects for the European and non-European economies. On the other hand, for both groups, trade openness decreases climate vulnerabilities. Based on these results, the study recommends speeding up the energy transition process from fossil fuel energy resources towards clean energy resources to obtain carbon neutrality in both European and non-European groups.

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“…Noteworthy that, taking either physical or socioeconomic vulnerability indicators may not give a clear picture of the flood risk areas. Hence, an area that is highly vulnerable to floods in terms of the physical aspect may not have a higher degree of vulnerability under the concerned socioeconomic environment (Eshtawi et al., 2021). The present research, therefore, demonstrates several hazard (rainfall, slope, elevation, geomorphology, topographic wetness index [TWI], etc.)…”

Section: Introductionmentioning

confidence: 99%

Micro‐spatial flood risk assessment in Nagaon district, Assam (India) using GIS‐based multi‐criteria decision analysis (MCDA) and analytical hierarchy process (AHP)

Bhuyan¹,

Deka

Saikia³

2023

Risk Analysis

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Nagaon is one of the highly flood‐prone districts of Assam, India that recurrently experiences devastating floods resulting in the loss of lives and property and wreaking havoc on the district's socioeconomic infrastructure. Identification and mapping of spatial patterns of flood hazards, flood vulnerability, and flood risk zones (FRZs) of the district are, therefore, crucial for flood management and mitigation. The present study, therefore, attempts to delineate the FRZs of more than 930 villages in the Nagaon district by integrating the flood hazard and vulnerability layers in the geospatial environment using the multi‐criteria decision analysis and analytical hierarchy process techniques. Here, seven flood hazard and vulnerability indicators are considered to derive each layer separately. The results indicate that about 15.14% of the district's total villages are in the very high FRZ, 27.93% in the high, 46.62% in the moderate, and 10.3% in the low FRZ. Further, bivariate correlation analysis is used to evaluate the results with the percentages of the population, cropland, and animals affected by floods at different temporal scales in order to ensure that the revenue circles with a higher percentage of area under high and very high FRZs genuinely have higher percentages of flood‐affected cropland, people, and livestock. The significance of this research is evident in its pragmatic findings that could aid the stakeholders in managing and reducing flood risk at micro‐spatial scales.

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Geo-spatial Assessment of Flood Vulnerability Areas of the Gaza Strip Towards Preparedness and Humanitarian Response Planning

Cited by 3 publications

References 7 publications

Integrated assessment of flood susceptibility and exposure rate in the lower Niger Basin, Onitsha, Southeastern Nigeria

Integrated assessment of flood susceptibility and exposure rate in the lower Niger Basin, Onitsha, Southeastern Nigeria

Clean energy transition and climate vulnerabilities: A comparative analysis of European and non-European developed countries

Micro‐spatial flood risk assessment in Nagaon district, Assam (India) using GIS‐based multi‐criteria decision analysis (MCDA) and analytical hierarchy process (AHP)

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