Flood risk susceptibility analysis in Larkana district Pakistan using multi criteria decision analysis and geospatial techniques DOI Creative Commons

Waheed Ali Khoso,

Muhammad Waseem,

Muhammad Ashraf Tanoli

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 20, 2025

Flooding is one of the most devastating natural disasters in worldwide, with significant socioeconomic and environmental impacts. In such a scenario, flood susceptibility analysis essential for successful risk management disaster preparedness. The Larkana district located densely populated area Sindh province, approximately 1.8 million population 0.32 households, highly susceptible to floods due its geographical location, river systems, hot climatic patterns extremely high temperature summer mild winter. often faces risks mainly monsoon rains overflow Indus River which lead widespread flooding. research aims identify quantify key factors, including rainfall pattern, distance river, topography, land use/land cover, soil texture, vegetation index, drainage infrastructure. AHP was applied prioritize these factors based on expert opinions their relative significance contributing vulnerability. GIS employed spatial mapping zones, allowing detailed visualization high-risk areas across district. For this study, various data sources as topographic data, use landcover information, infrastructure were used develop comprehensive model. method determine weights consistency ratio (CR) techniques generate maps by considering all nine factors. Flood levels further classified into five different classes very low, moderate, high. By using AHP, each parameter calculated percentage, it determined that four out parameters had 79% impact hazard. These are ranked influential hazards study area, rainfall, slope, elevation having greatest influences, while LULC, TWI, NDVI, type, curvature 21% impacts, much less compared top parameters. After that, reclassified. superimposed weighted overlay order show 7.65% entire at risk, 63.89% 28.38% moderate 0.12% low risk. findings established complete model will facilitate policymakers authorities identifying locations prioritizing mitigation measures, ultimately reducing local communities

Язык: Английский

A GIS-Based Flood Risk Assessment Using the Decision-Making Trial and Evaluation Laboratory Approach at a Regional Scale DOI Creative Commons

Eirini Efraimidou,

Mike Spiliotis

Environmental Processes, Год журнала: 2024, Номер 11(1)

Опубликована: Фев. 13, 2024

Abstract This paper introduces an integrated methodology that exploits both GIS and the Decision-making Trial Evaluation Laboratory (DEMATEL) methods for assessing flood risk in Kosynthos River basin northeastern Greece. The study aims to address challenges arising from data limitations provide decision-makers with effective management strategies. integration of DEMATEL is crucial, providing a robust framework considers interdependencies among factors, particularly regions where conventional numerical modeling faces difficulties. preferred over other due its proficiency handling qualitative ability account interactions studied factors. proposed method based on two developed causality diagrams. first diagram crucial hazard absence data. second offers multidimensional analysis, considering criteria. Notably, referring vulnerability can adapt local (or national) conditions, ill-defined nature vulnerability. Given identifies highly hazardous vulnerable areas, not only provides essential insights but also supports formulating approaches mitigate impacts communities infrastructure. Validation includes sensitivity analysis comparison historical Effective weights derived enhance precision Flood Hazard Index (FHI) Vulnerability (FVI).

Язык: Английский

Процитировано

20

The mediating role of green innovation and green culture in the relationship between green human resource management and environmental performance DOI Creative Commons

Liuyue Fang,

Shi Sheng-xu,

Jingzu Gao

и другие.

PLoS ONE, Год журнала: 2022, Номер 17(9), С. e0274820 - e0274820

Опубликована: Сен. 29, 2022

There is evidence in the literature that green HRM practices improve environmental profitability. On other hand, existing research has failed to explain how GHRM can support development of a culture and innovation influence firm’s performance long-term growth. This study investigates relationship between GHRM, culture, innovation, performance. In addition, examines mediating role conducts large-scale 290 employees from Manufacturing firms Malaysia. The results provide managers with better knowledge helps develop sustainable these elements contribute improvement inside organization. also makes significant contribution terms novelty relevance by demonstrating positively mediate manner. Managers will understand required an ecologically conscious promote among environmentally employees. Finally, we highlighted importance this for top management sense consequences future generations responsible who acquire knowledge.

Язык: Английский

Процитировано

68

Utilizing Remote Sensing and GIS Techniques for Flood Hazard Mapping and Risk Assessment DOI Open Access
Aslam Ali Al-Omari, Nawras Shatnawi,

Nadim I. Shbeeb

и другие.

Civil Engineering Journal, Год журнала: 2024, Номер 10(5), С. 1423 - 1436

Опубликована: Май 1, 2024

In this paper, a comprehensive flood hazard map for the vicinity of King Talal Dam in Jordan, utilizing advanced remote sensing (RS) and GIS methodologies, is developed. Key geographical environmental factors, encompassing terrain slope, elevation, aspect, proximity to water streams, drainage density, land use/land cover, are integrated highlight areas with increased risk. This study, by employing novel theoretical approach, harnesses synergistic capabilities RS collect analyze geospatial data. The Analytic Hierarchy Process (AHP) applied assign weights various flood-conditioning quantifying their relative importance risk assessment. Through weighted sum overlay technique, aforementioned factors categorize levels from very low high. study successfully maps hazards, identifying near main channels, ravines, lower-elevation prone flooding. research provides robust framework assessment, contributing valuable knowledge fields management disaster mitigation. It underscores continuous monitoring updating accommodate changing use, climate, hydrological conditions. innovative application offers crucial insights urban planners policymakers, emphasizing need proactive strategies flood-prone serving as model similar regions. Doi: 10.28991/CEJ-2024-010-05-05 Full Text: PDF

Язык: Английский

Процитировано

12

Evaluation of stormwater management approaches and challenges in urban flood control DOI
Saumya Arya,

Arun Kumar

Urban Climate, Год журнала: 2023, Номер 51, С. 101643 - 101643

Опубликована: Авг. 12, 2023

Язык: Английский

Процитировано

22

Pemetaan Daerah Rawan Banjir di Kota Ambon Menggunakan Sistim Informasi Geografis DOI Creative Commons
Heinrich Rakuasa,

Joseba Kristina Helwend,

Daniel Anthoni Sihasale

и другие.

Jurnal Geografi Media Informasi Pengembangan dan Profesi Kegeografian, Год журнала: 2022, Номер 19(2), С. 73 - 82

Опубликована: Дек. 1, 2022

Bencana banjir terjadi hampir setiap tahun di Kota Ambon dan mengingat besarnya dampak jumlah korban yang dapat ditimbulkan maka pemetaan daerah rawan merupakan dasar untuk memberikan informasi tentang strategi mitigasi risiko banjir. Penelitian ini bertujuan menganalisis kawasan juga memprediksi permukiman berada Ambon. menggunakan metode Multicriteria Evaluation (MCE) bagi pengambil keputusan dalam menentukan bobot sesuai serta Weighted Linear Combination (WLC) Hasil penelitian menunjukkan bahwa Kecamatan Teluk memiliki wilayah terluas pada kelas kerawanan dibandingkan dengan kecamatan lainnya, hal dikarenakan tersebut terbesar Sedangkan luas lahan pemukiman tersebar tinggi persentase paling besar yaitu 2.222,06 ha. Sebaran sedang seluas 2.214,67 ha lima terbangun tingkat adalah 0,39 Salah satu bentuk antisipasi bencana memperkirakan seberapa meminimalkan kerugian, baik jiwa maupun kerusakan fisik

Процитировано

25

Mapping and Assessment of Flood Risk in the Wadi Al-Lith Basin, Saudi Arabia DOI Open Access

Ibrahim H. Elsebaie,

Atef Q. Kawara, Ali O. Alnahit

и другие.

Water, Год журнала: 2023, Номер 15(5), С. 902 - 902

Опубликована: Фев. 26, 2023

Flood risk mapping is vital in watershed management and planning, especially reducing flood damages. In this study, a map was developed for the Wadi Al-Lith (Saudi Arabia) by combining geographic information system techniques with multi-criteria decision-making method known as Analytical Hierarchy Process (AHP). Several factors were investigated including elevation, slope, topographic wetness index, drainage density, rainfall, soil land use, cover. The divided into five regions: very high, moderate, low, low flooding danger areas. results showed that 35.86% of total area under high risks, while 26.85% moderate risk. Less than 38% model validated event occurred on 23 November 2018 study area. also compared 100-year return period generated HEC-RAS software. Both software similar results. findings demonstrated could be used to develop maps, watersheds experience scarcity shortages short-interval rainfall measurements stream flow gauges (e.g., other Saudi Arabia). Additionally, obtained can provide helpful knowledge policy- decision-makers make right decisions regarding effectiveness protective structures against flash future.

Язык: Английский

Процитировано

16

Flood vulnerability assessment in the Jamuna river floodplain using multi-criteria decision analysis: A case study in Jamalpur district, Bangladesh DOI Creative Commons

Khadiza Tul Kobra Nahin,

Sumaiya Binte Islam,

Safat Mahmud

и другие.

Heliyon, Год журнала: 2023, Номер 9(3), С. e14520 - e14520

Опубликована: Март 1, 2023

Flood is one of the most common hazards in many countries, affecting both life and properties. The recent climatic changes have brought a rise flood frequency intensity making this phenomenon more devastating to people. Especially, riparian communities Jamalpur along Jamuna river suffer at least once every year accounting for natural hazard. In scenario like this, precaution crucial task fight against phenomenon. Therefore, study attempts identify vulnerable zones district situating beside with multi-criteria analysis. Assessment vulnerability included consideration physical indicators rainfall, drainage density, distance from river, slope, land use cover, elevation, soil classes as well social population female literacy rate, number shelters, unmetalled road health personnel. All these parameters were analyzed Geographic Information System (GIS) assigned weightage decision-making technique namely- Analytic Hierarchy Process (AHP). Finally, map was generated seven Upazilas district. Very high, moderate low identified after overlaying all indicator maps under consideration. 45.96% portion total 2115.2 sq. Km. Area very high highly final Jamalpur. Such type assessment process significant mitigation projects view providing greatest concern zones. can also help policymakers provide emergency aids other privileges those who are need it.

Язык: Английский

Процитировано

16

Urban Flood Risk Assessment through the Integration of Natural and Human Resilience Based on Machine Learning Models DOI Creative Commons
Wenting Zhang, Bin Hu, Yongzhi Liu

и другие.

Remote Sensing, Год журнала: 2023, Номер 15(14), С. 3678 - 3678

Опубликована: Июль 23, 2023

Flood risk assessment and mapping are considered essential tools for the improvement of flood management. This research aims to construct a more comprehensive framework by emphasizing factors related human resilience integrating them with meteorological geographical factors. Moreover, two ensemble learning models, namely voting stacking, which utilize heterogeneous learners, were employed in this study, their prediction performance was compared that traditional machine including support vector machine, random forest, multilayer perceptron, gradient boosting decision tree. The six models trained tested using sample database constructed from historical events Hefei, China. results demonstrated following findings: (1) RF model exhibited highest accuracy, while SVR underestimated extent extremely high-risk areas. stacking very-high-risk It should be noted methods may not superior those base upon they built. (2) predicted areas within study area predominantly clustered low-lying regions along rivers, aligning distribution hazardous observed inundation events. (3) is worth noting factor distance pumping stations has second most significant driving influence after DEM (Digital Elevation Model). underscores importance considering expands empirical evidence ability deepens our understanding potential mechanisms influencing urban risk.

Язык: Английский

Процитировано

15

Vulnerability to urban flooding assessed based on spatial demographic, socio-economic and infrastructure inequalities DOI Creative Commons
Alejandro Roldán-Valcarce, Daniel Jato‐Espino, Cristina Manchado

и другие.

International Journal of Disaster Risk Reduction, Год журнала: 2023, Номер 95, С. 103894 - 103894

Опубликована: Июль 26, 2023

Urban flooding is a priority in natural risk management and mitigation because it the most frequent disaster densely urbanised environments. This research explores flood vulnerability cities by developing an index that can be easily implemented across world. Our methodology based on arrangement of series variables into three different classes (demography, socioeconomics infrastructure) determination their spatial variability through Principal Component Analysis (PCA). We tested proposed approach city Santander (Spain) where map was generated combination classes. The analysis show we reduce complexity from initially identified 159 relevant to 16 representative impactful terms variance. Classification made possible quantify main causes space. produce integrating our findings with hazard for same area. gives urban planners detailed information about affected areas allows them design measures mitigate severity effects floods optimising available resources.

Язык: Английский

Процитировано

14

Towards a verifiable, uncertainty-controlled assessment of the spatiotemporal dynamics of social vulnerability to flash floods DOI Creative Commons

Xinjun He,

Yiping Fang, Baosheng Wang

и другие.

Ecological Indicators, Год журнала: 2024, Номер 166, С. 112323 - 112323

Опубликована: Июль 4, 2024

Язык: Английский

Процитировано

6