Flood Susceptibility Mapping and Accuracy Assesment of a River Floodplain Using Bivariate Statistical Methods and AHP Approach DOI
Prashant N. Pusdekar, Sanjay V. Dudul

2021 International Conference on Emerging Smart Computing and Informatics (ESCI), Год журнала: 2024, Номер unknown, С. 1 - 8

Опубликована: Март 5, 2024

Over the recent decades, world has witnessed frequent and devastating flood events with loss of life property. The focus this present study is Panchaganga River basin (PRB) in state Maharashtra, India, chosen as site for susceptibility mapping (FSM). Various models, including frequency ratio (FR), weight evidence (WoE), Analytical Hierarchy Process (AHP), an FA model (ensemble FR & AHP), were employed purpose. To facilitate study, a comprehensive inventory comprising 200 historical locations was prepared. 75 % samples selected training 25 testing model. FSM generated categorized into five zones namely, very high, moderate, low, no risk through application ArcGIS software. ROC curves plotted validation purpose AUC values 93.6 %, 91.6 95.5 FR, WoE respectively. This provides valuable insights residents living near River, aiding them relocating to safer areas during flooding events. Additionally, farmers PRB can employ information mitigate various losses resulting from disasters.

Язык: Английский

Flood susceptibility and flood frequency modeling for lower Kosi Basin, India using AHP and Sentinel-1 SAR data in geospatial environment DOI

Vikash Shivhare,

Alok Kumar, Reetesh Kumar

и другие.

Natural Hazards, Год журнала: 2024, Номер 120(13), С. 11579 - 11610

Опубликована: Май 31, 2024

Язык: Английский

Процитировано

4
Geospatial Approach to Pluvial Flood-Risk and Vulnerability Assessment in Sunyani Municipality DOI Creative Commons

Aaron Tettey Tetteh,

Abdul–Wadood Moomen, Lily Lisa Yevugah

и другие.

Heliyon, Год журнала: 2024, Номер 10(18), С. e38013 - e38013

Опубликована: Сен. 1, 2024

Язык: Английский

Процитировано

4
Frequency Ratio Model as Tools for Flood Susceptibility Mapping in Urbanized Areas: A Case Study from Egypt DOI Creative Commons

Hanaa A. Megahed,

Amira Mohamed Abdo, Mohamed A. E. AbdelRahman

и другие.

Applied Sciences, Год журнала: 2023, Номер 13(16), С. 9445 - 9445

Опубликована: Авг. 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.

Язык: Английский

Процитировано

9
Comparative study of construction land development suitability assessment: Insights from multiple models and driving forces DOI
Zhong Zhang,

Jian Gong,

Jingye Li

и другие.

Environmental Impact Assessment Review, Год журнала: 2024, Номер 107, С. 107574 - 107574

Опубликована: Июнь 8, 2024

Язык: Английский

Процитировано

3
Flood susceptibility mapping using geospatial techniques: a study of the Kashmir Basin in the Northwest Himalaya DOI

Rabbya ul Qalab,

M. Sultan Bhat, Akhtar Alam

и другие.

Natural Hazards, Год журнала: 2025, Номер unknown

Опубликована: Фев. 14, 2025

Язык: Английский

Процитировано

0
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 DOI Creative Commons
Abdullah Al Mamun, Li Zhang,

Yan Xuzhe

и другие.

Frontiers in Earth Science, Год журнала: 2025, Номер 13

Опубликована: Март 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.

Язык: Английский

Процитировано

0
Flood susceptibility mapping in Indian Sundarban delta using multivariate statistics and machine learning algorithms in GIS DOI
Souvik Kundu, Tarun Kumar Mondal

Stochastic Environmental Research and Risk Assessment, Год журнала: 2025, Номер unknown

Опубликована: Март 24, 2025

Язык: Английский

Процитировано

0
Land surface temperature predicts mortality due to chronic obstructive pulmonary disease: a study based on climate variables and impact machine learning DOI Creative Commons
Alireza Mohammadi, Bardia Mashhoodi, Ali Shamsoddini

и другие.

Geospatial health, Год журнала: 2025, Номер 20(1)

Опубликована: Март 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.

Язык: Английский

Процитировано

0
Least cost path analysis for alternative road network assessment of landslide-prone NH-2, Mizoram, NE India DOI Creative Commons
Jonmenjoy Barman, Brototi Biswas, Jayanta Das

и другие.

Geocarto International, Год журнала: 2025, Номер 40(1)

Опубликована: Апрель 25, 2025

Язык: Английский

Процитировано

0
A framework for urban planning structured by sustainable urban drainage: the proposal of a priority matrix for site selection DOI Creative Commons
Beatriz Cruz Amback, Aline Pires Veról, Matheus Martins de Sousa

и другие.

Water Science & Technology, Год журнала: 2025, Номер unknown

Опубликована: Май 6, 2025

ABSTRACT Urbanization transforms landscapes, increasing urban flooding risk due to changes in the water cycle. Urban planning should incorporate blue and green infrastructure (BGI) integrate flood mitigation strategies within landscape under a multifunctional approach. This work aims develop, apply, evaluate supportive tools guide actions focused on effective drainage choices sustainable resilient manner. An original multicriteria tool, named Priority Matrix, combines gravity, urgency, tendency assessments define focal areas for interventions. The index is applied selected watershed, leading critical analysis that generates guidelines projects identifies points design. A design intervention combining grey, blue, was proposed site achieve mitigation. project evaluated using hydrological-hydrodynamic simulation confirming index's purpose efficiency selecting sites informing discussions about local challenges. evaluation demonstrated success mitigation, illustrating potential creating landscapes social ecological functions into projects.

Язык: Английский

Процитировано

0