Flood Susceptibility Mapping in Punjab, Pakistan: A Hybrid Approach Integrating Remote Sensing and Analytical Hierarchy Process DOI Creative Commons
Rana M. Amir Latif, Jinliao He

Atmosphere, Journal Year: 2024, Volume and Issue: 16(1), P. 22 - 22

Published: Dec. 28, 2024

Flood events pose significant risks to infrastructure and populations worldwide, particularly in Punjab, Pakistan, where critical must remain operational during adverse conditions. This study aims predict flood-prone areas Punjab assess the vulnerability of infrastructures within these zones. We developed a robust Susceptibility Model (FSM) utilizing Maximum Likelihood Classification (MLC) model Analytical Hierarchy Process (AHP) incorporating 11 flood-influencing factors, including “Topographic Wetness Index (TWI), elevation, slope, precipitation (rain, snow, hail, sleet), rainfall, distance rivers roads, soil type, drainage density, Land Use/Land Cover (LULC), Normalized Difference Vegetation (NDVI)”. The model, trained on dataset 850 training points, 70% for 30% validation, achieved high accuracy (AUC = 90%), highlighting effectiveness chosen approach. Map classified high- very high-risk zones collectively covering approximately 61.77% area, underscoring flood across Punjab. Sentinel-1A data with Vertical-Horizontal (VH) polarization was employed delineate extents heavily impacted cities Dera Ghazi Khan Rajanpur. underscores value integrating Multi-Criteria Decision Analysis (MCDA), remote sensing, Geographic Information Systems (GIS) generating detailed susceptibility maps that are potentially applicable other global regions.

Language: Английский

Spatial decision-making for urban flood vulnerability: A geomatics approach applied to Al-Ain City, UAE DOI Creative Commons
Mona S. Ramadan, Ahmed Hassan Almurshidi, Siti Fatin Mohd Razali

et al.

Urban Climate, Journal Year: 2025, Volume and Issue: 59, P. 102297 - 102297

Published: Jan. 31, 2025

Language: Английский

Citations

7
Flood Susceptibility Assessment for Improving the Resilience Capacity of Railway Infrastructure Networks DOI Open Access
Giada Varra, Renata Della Morte, Mario Tartaglia

et al.

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

Citations

5
Identification of urban waterlogging risk zones using Analytical Hierarchy Process (AHP): a case of Agartala city DOI
Bulti Das, Tuhin Kanti Ray, Eshita Boral

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(3)

Published: Feb. 24, 2025

Language: Английский

Citations

0
Flood risk assessment in the Swat river catchment through GIS-based multi-criteria decision analysis DOI Creative Commons
Nasir Khan, Hassan Alzahrani, Shibiao Bai

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 9, 2025

Extreme climatic events, such as floods, are becoming increasingly frequent and severe worldwide, including in Pakistan. The Swat River Catchment (SRC), located the eastern Hindukush region of Pakistan, is highly susceptible to flooding due its unique geographical conditions. However, despite region’s susceptibility, comprehensive flood risk assessments that integrate hazard, vulnerability, exposure components remain limited. To address this gap, study assesses SRC using 22 indicators distributed across three core dimensions risk: exposure. Flood hazard was modeled 11 indicators, broadly categorized into environmental, hydrological, aspects, while vulnerability evaluated through socio-economic factors, proximity, land use characteristics. Exposure analyzed based on population metrics critical infrastructure. All data were converted thematic layers GIS, systematically weighted Analytical Hierarchy Process (AHP) combined produce maps respectively. These then integrated a equation generate final map. results reveal 31% area high zone, 27% moderate zones, 23% low risk, 19% safe areas. validated Area Under Curve (AUC) technique, yielding value 0.92, which indicates reliability. By presenting first assessment for SRC, provides valuable insights flood-prone areas distribution. highlight urgent need enhanced management, especially urban developed methodology serves tool disaster management authorities planners, helping them make risk-informed decisions, allocate resources efficiently, implement targeted mitigation strategies.

Language: Английский

Citations

0
Cultural Competence Social-Emotional Learning DOI
Ranjit Singha, Surjit Singha, Melita Stephen Natal

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 99 - 124

Published: April 11, 2025

This chapter delves into the integration of cultural competence and social-emotional learning (SEL) within trauma-informed educational settings, proposing a multi-tiered systems support (MTSS) framework. The examines theoretical conceptual foundations SEL, emphasizing importance these components in supporting students' emotional academic success, particularly diverse trauma-affected communities. Practical strategies challenges for implementing culturally responsive SEL practices are discussed, along with recommendations educators, policymakers, future research directions.

Language: Английский

Citations

0
Flood susceptibility analysis to sustainable development using MCDA and support vector machine models by GIS in the selected area of the Teesta River floodplain, Bangladesh DOI Creative Commons

Shapla Akhter,

Md. Mostafizur Rahman,

Md. Moniruzzaman Monir

et al.

HydroResearch, Journal Year: 2024, Volume and Issue: 8, P. 127 - 138

Published: Oct. 30, 2024

Language: Английский

Citations

2
Enhancing flood resilience: Comparative analysis of single and hybrid defense systems for vulnerable buildings DOI

Nadir Murtaza,

Ghufran Ahmed Pasha, Hossein Hamidifar

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2024, Volume and Issue: 116, P. 105078 - 105078

Published: Dec. 13, 2024

Language: Английский

Citations

1
Assessing socioeconomic vulnerability of cyclone remal-affected coastal communities in Bangladesh DOI

Abdul Hasib Mollah,

Hasibul Hasan Shovon,

Apurba Roy

et al.

Natural Hazards, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 5, 2024

Language: Английский

Citations

0
Flood Susceptibility Mapping in Punjab, Pakistan: A Hybrid Approach Integrating Remote Sensing and Analytical Hierarchy Process DOI Creative Commons
Rana M. Amir Latif, Jinliao He

Atmosphere, Journal Year: 2024, Volume and Issue: 16(1), P. 22 - 22

Published: Dec. 28, 2024

Flood events pose significant risks to infrastructure and populations worldwide, particularly in Punjab, Pakistan, where critical must remain operational during adverse conditions. This study aims predict flood-prone areas Punjab assess the vulnerability of infrastructures within these zones. We developed a robust Susceptibility Model (FSM) utilizing Maximum Likelihood Classification (MLC) model Analytical Hierarchy Process (AHP) incorporating 11 flood-influencing factors, including “Topographic Wetness Index (TWI), elevation, slope, precipitation (rain, snow, hail, sleet), rainfall, distance rivers roads, soil type, drainage density, Land Use/Land Cover (LULC), Normalized Difference Vegetation (NDVI)”. The model, trained on dataset 850 training points, 70% for 30% validation, achieved high accuracy (AUC = 90%), highlighting effectiveness chosen approach. Map classified high- very high-risk zones collectively covering approximately 61.77% area, underscoring flood across Punjab. Sentinel-1A data with Vertical-Horizontal (VH) polarization was employed delineate extents heavily impacted cities Dera Ghazi Khan Rajanpur. underscores value integrating Multi-Criteria Decision Analysis (MCDA), remote sensing, Geographic Information Systems (GIS) generating detailed susceptibility maps that are potentially applicable other global regions.

Language: Английский

Citations

0