The issue of using annual rainfall maps in multi-criteria analysis to identify flood-prone areas

Geomatics Landmanagement and Landscape, Journal Year: 2025, Volume and Issue: 4

Published: Jan. 21, 2025

Interest in flood risk prevention has been growing steadily recent years, with multi-criteria analysis frequently used to develop plans. One of the common factors included these analyses is annual rainfall. This study aims assess role rainfall identifying flood-prone areas, using Geographic Information Systems (GIS) conduct research two stages. The first stage involved at-risk areas such as Topographic Wetness Index, Height Above Nearest Drainage, proximity watercourses, and drainage density. In second stage, results were integrated maps, applying consistent weights across both findings suggest that while a crucial factor assessment, its inclusion may inadvertently distort results. distortion occurs because distribution influenced by topography, making it only variable criterion among otherwise stable basin characteristics. As result, data shift focus from lower which are typically at greater but receive less rainfall, higher more Furthermore, argues not reliable basis for planning, fails accurately represent characteristics rain events – intensity, duration, frequency critical studies. highlights need appropriate criteria tailored specific area emphasizes importance developing new methods on impact rather than just distribution.

Language: Английский

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Flood risk assessment in the Swat river catchment through GIS-based multi-criteria decision analysis

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

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Assessing the Impact of Geospatial Susceptibility on the Rural Agricultural Landscapes of Village Settlements in Southwestern Nigeria

Published: Sept. 2, 2024

A theoretical framework for agricultural landscape pattern transitions in rural areas is proposed to fill the gap of current research with an empirical study Alabata farm settlement Ogun State, Southwest Nigeria. Adopting use ArcGIS 10.8 and Surfer 27.3 calculate surface area volume ground degraded exposed harsh weather conditions due both natural man-made anthropogenic activities causing runoffs continuous soil erosion, which has affected production sent some farmers packing abandoning their farmlands. The within total sampled frame 1.50 km² covers a distance 5.11 km. sample was divided into 36 frames similar ecological terrain types, fell either identified types 1 2. completed questionnaire onsite using three major criteria. Only 23 responded positively few questions living on or working as hired laborers on-site at visit. transition characteristics patterns represented abandoned land, orchards are analyzed from local perspective.

Language: Английский

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Assessing the Impact of Geospatial Susceptibility on the Rural Agricultural Landscapes of Village Settlements in Southwestern Nigeria

Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1719 - 1719

Published: Oct. 20, 2024

A theoretical framework for agricultural landscape pattern transitions in rural areas is proposed to fill the gap of current research with an empirical study Alabata farm settlement Ogun State, Southwest Nigeria. Adopting use ArcGIS 10.8 and Surfer 27.3 surface area volume ground degraded exposed harsh weather conditions due both natural man-made anthropogenic activities causing runoffs continuous soil erosion were calculated, which have affected production sent some farmers packing, abandoning their farmlands. The within total sampled frame 1.50 km2 covers a distance 5.11 km. sample was divided into 36 frames similar ecological microclimates, topographical features, terrain, types that fell either two identified types: 1 2. involved completion questionnaire onsite using three major criteria only 23 responded positively few questions as who living on or working hired laborers on-site at time visit. transition characteristics patterns represented abandoned, farmlands orchards are analyzed from local perspective.

Language: Английский

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A systematic flood risk assessment of Bloemfontein Watershed, South Africa

Geomatics Natural Hazards and Risk, Journal Year: 2024, Volume and Issue: 15(1)

Published: Nov. 6, 2024

Understanding the elements contributing to flood risk can create effective plans and policies for decision-makers lessen vulnerability boost resilience. Over years, Bloemfontein has experienced seasonal flooding, despite low amount of rainfall it receives compared other towns in South Africa. This study systematically assessed most vulnerable watershed Bloemfontein. The analytical hierarchy process (AHP) GIS-based multi-criteria decision-making were utilized map identify potential locations that are floods. relative weight each criterion taken into account susceptibility mapping was determined using AHP. Geospatial techniques used assess vegetation cover, moisture content, surface water, land temperature (LST) from 1991 2023, as well ten physical environmental factors linked occurrence Findings this revealed a decrease cover content an increase LST 1990 2023. shows 9.63% is susceptible 79.26% moderate, 11.07% high, 0.03% very high flooding. built areas major farmlands fall within zone 11%.

Language: Английский

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