Regional-scale flood mapping using naive bayes and remote sensing: towards local relevance

Hydrological Sciences Journal, Journal Year: 2025, Volume and Issue: unknown

Published: May 20, 2025

Language: Английский

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Optimization of Manning’s roughness coefficient using 1-dimensional hydrodynamic modelling in the perennial river system: A case of lower Narmada Basin, India

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(8)

Published: July 17, 2024

Language: Английский

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Understanding Flood Vulnerability in Local Communities of Kogi State, Nigeria, Using an Index-Based Approach

Water, Journal Year: 2022, Volume and Issue: 14(17), P. 2746 - 2746

Published: Sept. 2, 2022

In West Africa, the impacts of flooding are becoming more severe with climate warming. Flood-prone communities in Kogi State north-central Nigeria affected by annual and some extreme flood events. The negative remain a major obstacle to development, environmental sustainability, human security, exacerbating poverty region. Reducing managing increasingly challenge for individual households. Analysing vulnerability (a function exposure, susceptibility, lack resilience) identifying its causes using an index-based approach achieve sustainable risk management were focus this study. A semi-structured questionnaire was used collect relevant data from 400 households 20 purposively selected communities. Based on expert opinions extensive literature review, 16 sets indicators developed. These normalised aggregated compute index (FVI) each community. This then compare, classify, rank terms their flooding. results study showed that at varying levels Four including Onyedega, Ogba Ojubo, Odogwu, Ichala Edeke found have very high compared others. Several factors such as poor building structures, evacuation measures, over-dependence agriculture, diversification economic activities, weak household capacity identified causes. findings useful developing reduction adaptation strategies, ecosystem-based approaches, reduce current future other countries similar conditions.

Language: Английский

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Assessing Urban Flood Hazard Vulnerability Using Multi-Criteria Decision Making and Geospatial Techniques in Nabadwip Municipality, West Bengal in India

Atmosphere, Journal Year: 2023, Volume and Issue: 14(4), P. 669 - 669

Published: March 31, 2023

The flood hazard risks and vulnerability in the urban areas alongside major rivers of India have been gradually increasing due to extreme climatic events. present study is intended assess potential risk aims ascertain management strategies Nabadwip Municipality, a statutory area West Bengal. multi-criteria decision making (MCDM) selected criteria geospatial techniques employed determine area. has conducted using secondary datasets including relevant remotely sensed data participant observation. flood-affected zones determined normalized difference index (NDFI) (FVI). analysis standardized precipitation (SPI) 20 years monthly shows variability seasonal rainfall distribution Furthermore, spatial composite Ibrahim socio-economic development accents that was uneven. municipal wards situated central northeastern portions Municipality were extremely vulnerable, whereas western southwestern less vulnerable. It also revealed from strengths–weaknesses–opportunities–challenges (SWOC) principal situation unplanned sewerage system one most effective weaknesses All-embracing integrative need be implemented considering intra-regional for resilient sustainable

Language: Английский

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ASSESSMENT OF URBAN FLOOD RISKS OF THE CITIES USING ENTROPY-VIKOR METHODS IN TÜRKİYE

Konya Journal of Engineering Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 162 - 176

Published: Feb. 1, 2024

In recent years, there is growing interest for evaluation of urban flood risks cities over the past decade due to rapid urbanization and climate change. The optimal risk assessment strategically achieved not only with classical modelling approaches but also holistic comprehensive framework. This paper focuses on a detailed providing database policymakers planners decide prone areas in Turkey. this context, Entropy based VIKOR (VIseKriterijumska Optimizacija Kompromisno Resenje) was provided evaluate range criteria named number floods, population density buildings, protection area which are under concept dimension including “hazard, exposure vulnerability” aspects. Computational results demonstrate that provinces Şanlıurfa, Ordu, Zonguldak Van assigned higher values, respectively ranking presented different q values. findings should support practitioners researchers land use planning reduction works as terms management.

Language: Английский

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Application of Geographic Information System and Remote Sensing on Flood Hazard Assessment and its Impact on Agriculture: A Review

Springer natural hazards, Journal Year: 2024, Volume and Issue: unknown, P. 287 - 308

Published: Jan. 1, 2024

Language: Английский

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Assessment of Rural Flood Risk and Factors Influencing Household Flood Risk Perception in the Haut-Bassins Region of Burkina Faso, West Africa

Climate, Journal Year: 2024, Volume and Issue: 12(6), P. 80 - 80

Published: May 31, 2024

In the past two decades, several floods have affected people and their properties in Burkina Faso, with unprecedented flooding occurring Ouagadougou September 2009. So far, most studies focused on surrounding localities paid little attention to other flood-prone regions Faso. Consequently, there is a data knowledge gap regarding flood risk Haut-Bassins region, which turn hinders development of mitigation strategies reduction measures communities. This study demonstrates how collected at household level can be used understand its components village this data-scarce region. Using an indicator-based method, we analyzed both perception level. Moreover, determined factors influencing using ordered logit model. We found that 12 out 14 villages our sample group had experienced high levels risk. The management runoff from nearest urban areas as well poorly designed civil engineering infrastructures, such roads, were highlighted by households significant increased vulnerability. Additionally, perceived consistently exceeds estimated risk, insignificant positive correlation between indices. Regression results indicate mainly influenced informational behavioral households. findings provide valuable information municipal regional authorities involved disaster within area. our/this method transferable regions.

Language: Английский

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Assessment of Future Urban Flood Risk of Thailand’s Bangkok Metropolis Using Geoprocessing and Machine Learning Algorithm

Environmental and Sustainability Indicators, Journal Year: 2024, Volume and Issue: 25, P. 100559 - 100559

Published: Dec. 16, 2024

Language: Английский

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Hydrodynamic modelling approach for scientific assessment of flood-prone areas at basin scale

Modeling Earth Systems and Environment, Journal Year: 2023, Volume and Issue: 10(1), P. 983 - 1003

Published: July 5, 2023

Language: Английский

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Susceptibility of Flood-Prone Areas to Remain Inundated for Shorter or Longer Periods During a Flooding Event: An Assessment Method Applied in the Friuli Venezia Giulia Region (Italy)

Published: Jan. 1, 2024

Language: Английский

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