Flood susceptibility mapping using geospatial techniques: a study of the Kashmir Basin in the Northwest Himalaya

Natural Hazards, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Language: Английский

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Cyclone surge inundation susceptibility assessment in Bangladesh coast through geospatial techniques and machine learning algorithms: a comparative study between an island and a mangrove protected area

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

Published: March 18, 2025

Tropical cyclones, including surge inundation, are a joint event in the coastal regions of Bangladesh. The washes out life and property within very short period. Besides, most cases, area remains flooded for several days. Prediction inundation susceptibility due to cyclone is one key issues reducing vulnerability. Surge can be analyzed effectively through geospatial techniques various algorithms. Two techniques, such as GIS-based Analytical Hierarchy Process (AHP) multi-criteria analysis bivariate Frequency Ratio (FR) three algorithms, i.e., Artificial Neural Network (ANN), k -nearest neighbor (KNN) Random Forest (RF), were applied understand comparative level between an island, Sandwip protected by mangrove, Dacope on Bangladesh coast. A total ten criteria considered influential flooding, Elevation, Slope, Topographic Wetness Index, Drainage density, Distance from river sea, Wind flow distance, LULC, NDVI, Precipitation, Soil types. Among them, distance sea (16.34%) elevation (15.01%) found crucial analysis, according AHP expert’s opinions. Similarly, precipitation (9.88) (6.92) LULC (4.16) NDVI (4.33) highest PR values FR analysis. factor maps final ArcGIS 10.8. categorized into five classes, low, moderate, high, high. Very high was around boundary island upper portion upazila. (45.07%) (49.41%) observed KNN ANN, respectively. receiver operating characteristic (ROC) all acceptable prediction; however, possessed better consistent under curve (AUC) value than algorithms both study sites. Policymakers professionals plan manage disaster reduction activities based outcomes.

Language: Английский

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Flood susceptibility mapping in Indian Sundarban delta using multivariate statistics and machine learning algorithms in GIS

Stochastic Environmental Research and Risk Assessment, Journal Year: 2025, Volume and Issue: unknown

Published: March 24, 2025

Language: Английский

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Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning

Geospatial health, Journal Year: 2025, Volume and Issue: 20(1)

Published: March 26, 2025

Introduction: Chronic Obstructive Pulmonary Disease (COPD) mortality rates and global warming have been in the focus of scientists policymakers past decade. The long-term shifts temperature weather patterns, commonly referred to as climate change, is an important public health issue, especially with regard COPD. Method: Using most recent county-level age-adjusted COPD among adults older than 25 years, this study aimed investigate spatial trajectory United States between 2001 2020. Global Moran's I was used relationships utilising data from Terra satellite for night-time land surface temperatures (LSTnt), which served indicator within same time period across States. forest-based classification regression model (FCR) applied predict rates. Results: It found that over 20-year spatially clustered certain counties. statistic (I=0.18) showed increased LSTnt, strongest association eastern south-eastern FCR able based on LSTnt values area a R2 value 0.68. Conclusion: Policymakers could use findings develop health-related strategies reduce vulnerability patients acute respiratory symptoms.

Language: Английский

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Flood susceptibility assessment and mapping using GIS-based analytical hierarchy process and frequency ratio models

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

Published: April 1, 2025

Language: Английский

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Least cost path analysis for alternative road network assessment of landslide-prone NH-2, Mizoram, NE India

Geocarto International, Journal Year: 2025, Volume and Issue: 40(1)

Published: April 25, 2025

Language: Английский

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Frequency Ratio Model as Tools for Flood Susceptibility Mapping in Urbanized Areas: A Case Study from Egypt

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(16), P. 9445 - 9445

Published: Aug. 21, 2023

The occurrence of flash floods is a natural yet unavoidable over time. In addition to harming people, property, and resources, it also undermines country’s economy. This paper attempts identify areas flood vulnerability using frequency ratio approach. (FR) model was used produce prediction maps for New Cairo City, Egypt. Using field data remote sensing data, 143 spatial flooded point sites were mapped build inventory map. primary driving criteria determined be elevation, slope, aspect, Land Use Cover (LULC), lithology, stream distance, density, topographic wetness index (TWI), surface runoff, terrain ruggedness (TRI), in that order importance. A susceptibility map (FSM) has been created the FR model, which combines geographical environmental variables. Our findings from FSM, roughly fifth city very highly susceptible flooding (19.32%), while remaining 40.09% 13.14% study area rank low risk, respectively. receiver operating characteristic curve (ROC) technique validate resulting results showed an under (AUC) 90.11%. conclusion, decision makers can employ models extract generate risk better understand effects create alternative measures prevent this hazard similar regions. will aid planners developing some likely actions reduce area.

Language: Английский

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Comparative study of construction land development suitability assessment: Insights from multiple models and driving forces

Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 107, P. 107574 - 107574

Published: June 8, 2024

Language: Английский

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Geospatial Approach to Pluvial Flood-Risk and Vulnerability Assessment in Sunyani Municipality

Heliyon, Journal Year: 2024, Volume and Issue: 10(18), P. e38013 - e38013

Published: Sept. 1, 2024

Language: Английский

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Bozkurt (Kastamonu-Türkiye) Taşkınına Morfometrik Yaklaşım

Doğal Afetler ve Çevre Dergisi, Journal Year: 2023, Volume and Issue: 9(2), P. 216 - 239

Published: July 29, 2023

This study aims to analyze the flood disaster that occurred in Kastamonu-Bozkurt 2021 through morphometric parameters of basin. In study, Basin Ezine Stream, which is experienced most effectively, was analyzed together with neighboring basins. Bozkurt one destructive floods history Türkiye. As a result Kastamonu and provinces on 10th - 12th August 2021, 82 people lost their lives. The Digital Elevation Model (DEM) area created cell size 10*10 m using topography maps, boundaries basins be ArcGIS-Archydro Module were determined. 30 indices applied these within scope shape (geometric), areal relief features relationship between determined Pearson correlation coefficient. When analysis results are evaluated for it basin largest area, value relief, relative ruggedness. result, erosional activities risk high. all general, has been revealed more elongated, morphometry facilitate formation floods. dissection degree, slope values, average values high basins; both amount water added overland flow speed increased. situation also increased material carried during flood. Constructions built close stream bed effect Depending global climate change, corresponds where change daily maximum precipitation varies 5-10%. Therefore, likely continue. For this reason, recommended consider geometric, along climatic while taking necessary precautions. According CORINE land cover data, urban areas Stream by over 100% 1990 2018, affected disastrous overflows. Conservation strengthening natural vegetation will reduce damage level

Language: Английский

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