Urban Flood Risk Assessment and Mapping Using GIS-DEMATEL Method: Case of the Serafa River Watershed, Poland DOI Open Access

Wiktoria Natkaniec,

Izabela Godyń

Water, Journal Year: 2024, Volume and Issue: 16(18), P. 2636 - 2636

Published: Sept. 17, 2024

This paper develops a method integrating Geographic Information Systems (GIS) and the Decision-Making Trials Evaluation Laboratory (DEMATEL) for analysis of factors influencing urban flood risk identification flood-prone areas. The is based on nine selected factors: land use/land cover (LULC: ratio built-up areas, greenery areas), elevation, slope, population density, distance from river, soil, Topographic Wetness Index (TWI), Normalized Difference Vegetation (NDVI). DEMATEL used to determine cause–effect relationship between factors, allowing key criteria their weights be determined. LULC density were identified as most important floods. was applied case study—the Serafa River watershed (Poland), an urbanized catchment covering housing estates cities Kraków Wieliczka frequently affected by flooding. GIS publicly available data using QGIS with obtained vulnerable 45% total area classified areas very high or level risk. results match actual inundation incidents that occurred in recent years this area. study shows potential possibility DEMATEL-GIS significance designate

Language: Английский

Unveiling global flood hotspots: Optimized machine learning techniques for enhanced flood susceptibility modeling DOI Creative Commons
Mahdi Panahi, Khabat Khosravi, Fatemeh Rezaie

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 58, P. 102285 - 102285

Published: March 4, 2025

Language: Английский

Citations

0
Revitalization of the Rural Area Through the Development of Winter Tourism Using the AHP Method—A Case Study of Banja Luka DOI

Dajana Đuka,

Dragana Kuzmanović,

Nebojša Knežević

et al.

Advances in Science, Technology & Innovation/Advances in science, technology & innovation, Journal Year: 2025, Volume and Issue: unknown, P. 169 - 183

Published: Jan. 1, 2025

Language: Английский

Citations

0
Flood susceptibility assessment and mapping using GIS-based analytical hierarchy process and frequency ratio models DOI Creative Commons
Saad Ashfaq, Muhammad Tufail, Abrar Niaz

et al.

Global and Planetary Change, Journal Year: 2025, Volume and Issue: unknown, P. 104831 - 104831

Published: April 1, 2025

Language: Английский

Citations

0
Assessment and mapping of areas at risk of flooding using a combined AHP and GIS multi-criteria analysis model ‒ case study of Sidi Aissa city (Algeria) DOI Creative Commons

Mohammed Ben Halima,

Ali Redjem, Salim Dehimi

et al.

Geomatics Landmanagement and Landscape, Journal Year: 2025, Volume and Issue: 1

Published: April 13, 2025

Floods are among the most hazardous natural disasters, which pose significant threats to human lifeat both global and national scales due severe human, material, environmental losses. The increasing frequency of floods, compared other hazards, highlights urgent need their evaluation mitigation impacts. This study aimed assess map flood-prone areas in city Sidi Aissa, Algeria, using analytical hierarchy process (AHP) geographic information systems (GIS). was chosen because three rivers running through it. A model combining a multi-criteria statistical approach GIS employed. focused on analyzing factors influencing flood occurrence, including land use, elevation, slope, drainage density, distance from river roads, topographic wetness index (T.W.I), normalized difference vegetation (N.D.V.I), To calculate weights these environment, AHP method applied, resulting maps specific each criterion. results revealed that use (21.7%) (18.2%) critical susceptibility damage nearby buildings. shaped divided into categories: with very low susceptibility, accounting for 29% total area; moderate 40% highly susceptible flooding, making up 31%. Furthermore, demonstrated effectiveness simulating potential floods identifying areas, thereby highlighting importance planning mitigating risks future.

Language: Английский

Citations

0
Probabilistic Assessment of Flood Susceptibility via a Coparticipative Multicriteria Decision Analysis DOI
Constantinos F. Panagiotou, Elissavet Feloni,

Kostas Aristidou

et al.

Environmental Processes, Journal Year: 2025, Volume and Issue: 12(2)

Published: April 14, 2025

Language: Английский

Citations

0
Data-driven approach to spatiotemporal dynamic risk assessment of urban flooding based on shared socio-economic pathways DOI Creative Commons
Mo Wang, Fu‐Rong Chen, Dongqing Zhang

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110764 - 110764

Published: Aug. 6, 2023

Driven by the change in intense land use and cover (LULC) due to fast urbanization, urban flooding events have become most frequent influential hazards over last few decades. Accurately predicting possible flood-prone locations under dynamic fluctuations of LULC is crucial for sustainable development. However, there has been sparse studies on systematic integration changes into anticipate development scenarios coupled with vulnerability assessment. Therefore, this study proposed a robust powerful cascade modeling chain consisting Maximum Entropy, System Dynamics Patch-generating Land Use Simulation combination shared socio-economic pathways projecting temporal spatial associated vulnerability. Taking Guangdong Hong Kong Macao Greater Bay Area (GBA) as case study, results showed that increase was largely caused expansion construction land. Overall, substantial distinction within observed ranked order SSP126 < SSP245 SSP585. Under SSP585, areas high risk will be expected significantly, accounting 26% total areas, nearly half built-up are exposed 2050. SSP245, medium were anticipated fifth areas. scenario, no predicted area risk, only 1%, future urbanization hotspots serious risks likely found fringe GBA's line extent expansion. The finding shed comprehensive insight identification distribution facilitate exploration flood mitigation measures use.

Language: Английский

Citations

10
Flood vulnerability map of the Bagmati River basin, Nepal: a comparative approach of the analytical hierarchy process and frequency ratio model DOI Creative Commons
S Malla,

Koichiro OHGUSHI

Smart Construction and Sustainable Cities, Journal Year: 2024, Volume and Issue: 2(1)

Published: Oct. 8, 2024

Abstract The analytical hierarchy process (AHP) and frequency ratio model (FR), along with the integration of GIS, have proven to be successful approaches for assessing flood-prone areas. However, in Nepal flood vulnerability mapping based on GIS decision analysis is limited. Thus, this study focused comparing data-driven FR method expert knowledge-based AHP technique a environment prepare map Bagmati River basin, helping explore gap methodologies approaches. By combining all class-weighted contributing factors, like elevation, precipitation, flow accumulation, drainage density, soil, distance from river, land use cover, normalized difference vegetative index, slope topographic wetness evaluated efficiency maps. An inventory floods containing 107 points was created. Subsequently, maps generated using models revealed that 9.30% 11.36% regions were highly vulnerable areas, respectively. Receiver operating characteristics validated outcomes, indicating model’s accuracy 91% outperformed 84% accuracy. findings will assist decision-makers enacting sustainable management techniques reduce future damage basin.

Language: Английский

Citations

3
A new approach to evaluating urban flood risk: the case of Guangdong Province in China DOI
Wenping Xu,

Pil Soo Han,

David Proverbs

et al.

Urban Water Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: March 14, 2025

Language: Английский

Citations

0
Effects of landslide hazards on the livelihood strategies of rural households in Gamo Highlands, Southern Ethiopia DOI Creative Commons
Lemma Tadesse, Abera Uncha Utallo, Thomas Toma Tora

et al.

Geoenvironmental Disasters, Journal Year: 2025, Volume and Issue: 12(1)

Published: March 17, 2025

Language: Английский

Citations

0
Mapping flood resilience: a comprehensive geospatial insight into regional vulnerabilities DOI Creative Commons
Tauheed Ullah Khan, Ghulam Nabi, Sana Ullah

et al.

Frontiers in Water, Journal Year: 2025, Volume and Issue: 7

Published: March 26, 2025

Flood is the most frequent and destructive natural disaster, causing significant negative impacts on humans built ecosystems. While it extremely challenging to prevent floods, their associated hazards can be mitigated through well-planned appropriate measures. The present study combined analytical hierarchy process (AHP) analysis an ArcGIS-based multi-criteria decision-making (MCDM) approach assess, categorize, quantify, map flood-prone areas in Khyber Pakhtunkhwa, Pakistan, a region particularly vulnerable recurrent flooding. Eight key factors including precipitation, rivers/streams, slope, elevation, soil, normalized difference vegetation index, land use were used for flood susceptibility modeling. weighted sum overlay tool global positioning system ArcGIS was utilized give weightage each raster layer, based AHP ranking produce area. According analysis, impactful defining our area streams (0.29%), precipitation (0.23%), slope of (14%), LST (10%). Our model achieved excellent accuracy, with Area Under Curve (AUC) value 0.911. predicted that 9% total classified as very high risk, while 14% identified covering approximately 923,257 hectares 1,419,480 hectares, respectively. These high-risk zones are predominantly concentrated central lower northern, densely populated districts province. results would assist policymakers, concerned departments, local communities assessing risk timely manner designing effective mitigation response strategies.

Language: Английский

Citations

0