Flood susceptibility mapping contributes to disaster risk reduction: A case study in Sindh, Pakistan

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 108, P. 104503 - 104503

Published: April 23, 2024

Floods are a widespread and damaging natural phenomenon that causes harm to human lives, resources, property has agricultural, eco-environmental, economic impacts. Therefore, it is crucial perform flood susceptibility mapping (FSM) identify susceptible zones mitigate reduce damage. This study assessed the damage caused by 2022 flash in Sindh identified flood-susceptible based on frequency ratio (FR) analytical hierarchy process (AHP) models. Flood inventory maps were generated, containing 150 sampling points, which manually selected from Landsat imagery. The points split into 70% for training 30% validating results. Furthermore, fourteen conditioning factors considered analysis developing FSM. final FSM categorized five zones, representing levels very low high. results areas under high Ghotki (FR 4.42% AHP 5.66%), Dadu 21.40% 21.29%), Sanghar 6.81% 6.78%). Ultimately, accuracy was evaluated using receiver operating characteristics area curve method, resulting 82%, 83%), 91%, 90%), 96%, 95%). enhances scientific understanding of impacts across diverse regions emphasizes importance accurate informed decision-making. findings provide valuable insights supportive policymakers, agricultural planners, stakeholders engaged risk management adverse consequences floods.

Language: Английский

---

A review of flood risk assessment frameworks and the development of hierarchical structures for risk components

Discover Water, Journal Year: 2025, Volume and Issue: 5(1)

Published: Feb. 12, 2025

Language: Английский

---

Evaluation of decision-support tools for coastal flood and erosion control: A multicriteria perspective

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 373, P. 123924 - 123924

Published: Jan. 1, 2025

Language: Английский

---

Flood Susceptibility Analysis with Integrated Geographic Information System and Analytical Hierarchy Process: A Multi-Criteria Framework for Risk Assessment and Mitigation

Water, Journal Year: 2025, Volume and Issue: 17(7), P. 937 - 937

Published: March 23, 2025

Flooding is among the most destructive natural disasters globally, and it inflicts severe damage on both environments human-made structures. The frequency of floods has been increasing due to unplanned urbanization, climate change, changes in land use. Flood susceptibility maps help identify at-risk areas, supporting informed decisions disaster preparedness, risk management, mitigation. This study aims generate a flood map for Davidson County Tennessee using an integrated geographic information system (GIS) analytical hierarchical process (AHP). In this study, ten causative factors are employed flood-prone zones. AHP, form weighted multi-criteria decision analysis, applied assess relative impact weights these factors. Subsequently, into ArcGIS Pro (Version 3.3) create area overlay approach. resulting classified county five zones: very low (17.48%), (41.89%), moderate (37.53%), high (2.93%), (0.17%). FEMA hazard used validate created from Ultimately, comparison reinforced accuracy reliability assessment GIS AHP

Language: Английский

---

Evaluation of a weather forecasting model and HEC-HMS for flood forecasting: case study of Talesh catchment

Applied Water Science, Journal Year: 2024, Volume and Issue: 14(2)

Published: Jan. 28, 2024

Abstract Reports demonstrate that floods are among the most prevalent and deadliest natural disasters affecting 520 million people annually. The present study seeks to evaluate flood forecasting using weather research (WRF) model Hydrologic Engineering Center-Hydrologic Modeling System (HEC-HMS) model. To this end, WRF HEC-HMS were calibrated by comparing their results with data observed at measuring stations. Then, output rainfall of implemented examined statistical indices, which revealed be 4.13, 3.42, 2.67 for flow volume 6.2, 2.46, 5.11 peak flow, suggesting accurate performance alongside in Talesh catchment.

Language: Английский

---

Flood-Resilient Smart Cities: A Data-Driven Risk Assessment Approach Based on Geographical Risks and Emergency Response Infrastructure

Smart Cities, Journal Year: 2024, Volume and Issue: 7(1), P. 662 - 679

Published: Feb. 16, 2024

Flooding in urban areas is expected to become even more common due climatic changes, putting pressure on cities implement effective response measures. Practical mechanisms for assessing flood risk have highly desired, but existing solutions been devoted evaluating only specific and consider limited perspectives, constraining their general applicability. This article presents an innovative approach the of delimited by exploiting geospatial information from publicly available databases, providing a method that applicable any city world requiring minimum configurations. A set mathematical equations defined numerically levels based elevation, slope, proximity rivers, while existence emergency-related infrastructure considered as reduction factor. Then, computed are used classify areas, allowing easy visualisation city. smart not serves valuable tool different parameters also facilitates implementation cutting-edge strategies effectively mitigate critical situations, ultimately enhancing resilience flood-related disaster.

Language: Английский

---

Assessment of flood risk using Hierarchical Analysis Process method and Remote Sensing systems through arid catchment in southeastern Tunisia

Journal of Arid Environments, Journal Year: 2024, Volume and Issue: 222, P. 105150 - 105150

Published: March 13, 2024

Language: Английский

---

Flood Susceptibility Assessment for Improving the Resilience Capacity of Railway Infrastructure Networks

Water, Journal Year: 2024, Volume and Issue: 16(18), P. 2592 - 2592

Published: Sept. 12, 2024

Floods often cause significant damage to transportation infrastructure such as roads, railways, and bridges. This study identifies several topographic, environmental, hydrological factors (slope, elevation, rainfall, land use cover, distance from rivers, geology, topographic wetness index, drainage density) influencing the safety of railway uses multi-criteria analysis (MCA) alongside an analytical hierarchy process (AHP) produce flood susceptibility maps within a geographic information system (GIS). The proposed methodology was applied catchment area track in southern Italy that heavily affected by destructive occurred autumn 2015. Two were obtained, one based on static geophysical another including triggering rainfall (dynamic). results showed large portions line are very highly susceptible zone. found be good agreement with post-disaster flood-induced infrastructural recorded along railway, whilst official inundation competent authorities fail supply about flooding occurring secondary tributaries direct rainfall. reliable identification sites floods may provide environmental useful for preparing disaster management action plans, risk analysis, targeted maintenance/monitoring programs, improving resilience capacity network. approach offer cost-effective strategy rapidly screening at regional/national levels could also other types linear transport infrastructures.

Language: Английский

---

Flood Susceptibility Mapping Using GIS-Based Frequency Ratio and Shannon’s Entropy Index Bivariate Statistical Models: A Case Study of Chandrapur District, India

ISPRS International Journal of Geo-Information, Journal Year: 2024, Volume and Issue: 13(8), P. 297 - 297

Published: Aug. 22, 2024

Flooding poses a significant threat as prevalent natural disaster. To mitigate its impact, identifying flood-prone areas through susceptibility mapping is essential for effective flood risk management. This study conducted (FSM) in Chandrapur district, Maharashtra, India, using geographic information system (GIS)-based frequency ratio (FR) and Shannon’s entropy index (SEI) models. Seven flood-contributing factors were considered, historical data utilized model training testing. Model performance was evaluated the area under curve (AUC) metric. The AUC values of 0.982 SEI 0.966 FR test dataset underscore robust both results revealed that 5.4% 8.1% (FR model) 3.8% 7.6% (SEI face very high risks flooding, respectively. Comparative analysis indicated superiority model. key limitations models are discussed. attempted to simplify process easy straightforward implementation statistical along with insights into vulnerability region.

Language: Английский

---

A Systematic Review of Urban Flood Susceptibility Mapping: Remote Sensing, Machine Learning, and Other Modeling Approaches

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(3), P. 524 - 524

Published: Feb. 3, 2025

Climate change has led to an increase in global temperature and frequent intense precipitation, resulting a rise severe urban flooding worldwide. This growing threat is exacerbated by rapid urbanization, impervious surface expansion, overwhelmed drainage systems, particularly regions. As becomes more catastrophic causes significant environmental property damage, there urgent need understand address flood susceptibility mitigate future damage. review aims evaluate remote sensing datasets key parameters influencing provide comprehensive overview of the causative factors utilized mapping. also highlights evolution traditional, data-driven, big data, GISs (geographic information systems), machine learning approaches discusses advantages limitations different mapping approaches. By evaluating challenges associated with current practices, this paper offers insights into directions for improving management strategies. Understanding identifying foundation developing effective resilient practices will be beneficial mitigating

Language: Английский

---