Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms

Stochastic Environmental Research and Risk Assessment, Journal Year: 2020, Volume and Issue: 34(12), P. 2277 - 2300

Published: Sept. 4, 2020

Language: Английский

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Modeling soil erosion using RUSLE and GIS at watershed level in the upper beles, Ethiopia

Environmental Challenges, Journal Year: 2020, Volume and Issue: 2, P. 100009 - 100009

Published: Dec. 12, 2020

Soil erosion by water often described as the most worst form of land degradation with serious environmental and socioeconomic ramification, which accelerated human-induced activities impacts agricultural productivity, resources sustainability, ecological conservations. Despite, significant amount research on topic, location-specific soil studies are still limited in Ethiopia, particularly study region. Therefore, this investigates spatial pattern risk map annual loss rate Upper Beles watershed Blue Nile Basin, Ethiopia. The Revised Universal Loss Equation (RUSLE) model, coupled geographical information system (GIS), has been adopted for estimation. respective model factors were derived from rainfall, soil, use/cover, digital elevation data. raster layers rainfall erosivity, erodibility, topographic, cover management, conservation practices processed multiplied together GIS platform. order magnitude estimated was within range zero bare areas watercourses to well over 50 t ha−1 yr−1 degraded slope steep mountain areas. resulting average founded be 13.2 ha-1 yr-1, exceeded tolerances Ethiopia's northern highlands. Based risk's distribution, 58.2% suffered less than 5 yr−1. Result shows that high prevails at slopes mountainous no vegetation covers extensively cultivated RUSLE GIS-based approach provides a reliable estimation helps identify priority area effective planning implementation sustainable management reduce erosion, sustainability Grand Ethiopian Renesance Dam (GERD) located downstream.

Language: Английский

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Drainage morphometry based sub-watershed prioritization of Kalinadi basin using geospatial technology

Environmental Challenges, Journal Year: 2021, Volume and Issue: 5, P. 100277 - 100277

Published: Sept. 12, 2021

Watershed management is an essential part to achieve sustainability. In the case of large watersheds, and conservation practices cannot be implemented efficiently over entire area due inadequate human resources financial support. Therefore, prioritizing sub-watersheds implementation would a viable technique ensure sustainability within watershed. this study, sub-watershed prioritization carried out for Kalinadi basin based on erosion susceptibility using morphometric analysis. SRTM DEM used extract stream network delineate ArcGIS software. Further, divided into eight analysis performed. current sub-watersheds, nineteen parameters are considered which include linear, aerial relief aspects. The results every given with ranks their influence soil then subjected compound parameter prioritize each sub-watershed. morphometry-based findings demonstrate that Sub watershed-8 (SW-8), SW-4 SW-5 face high risk, SW-6, SW-7 SW-2 medium risk whereas SW-3 SW-1 low erosion. can by decision-making authorities plan implement watershed optimally control

Language: Английский

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Watershed prioritization using morphometric analysis by MCDM approaches

Ecological Informatics, Journal Year: 2022, Volume and Issue: 70, P. 101763 - 101763

Published: Aug. 4, 2022

Language: Английский

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Identification of sustainable urban settlement sites using interrelationship based multi-influencing factor technique and GIS

Geocarto International, Journal Year: 2023, Volume and Issue: 38(1)

Published: Oct. 17, 2023

Evaluation of a site suitability for sustainable urban settlement growth is crucial. A system evaluating an interaction between the factors must be established to assure that critical selection interrelationships are not neglected. To solve this problem, proposed methodology was evaluated identify suitable residential development in Nashik, India. The Geographic information (GIS) -based multi-influence factor (MIF) approach used study find ideal locations future settlement. assessment based on 11 including vegetation, elevation, land use, industry, drainage network, slope, water bodies, road, health services, railway station, and population density. delineated by aggregating all considered their associated MIF weights using interrelationship factors. results showed 27.26% research area development, 16.82% low suitable, 30.65% moderately 16.48% highly 8.77% very suitable. Most sites located near existing habitant area, major roads. were validated Receiver-Operating Characteristic (ROC), Area Under Curve (AUC) value 0.895 indicated model effective. Sensitivity analysis revealed distance from services dominant selecting optimal location area. findings areas intensive will helpful planners policy makers future.

Language: Английский

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Comparison of different objective weighting methods in a multi‐criteria model for watershed prioritization for flood risk assessment using morphometric analysis

Journal of Flood Risk Management, Journal Year: 2023, Volume and Issue: 16(2)

Published: Feb. 26, 2023

Abstract Morphometric analysis of watersheds coupled with multi‐criteria decision making (MCDM) techniques is a widely used approach in identifying and prioritizing subwatersheds for flood risk assessment. Finding the appropriate weight each morphometric parameter one most important steps MCDM methods. The present research focuses on analyzing effect using objective weighting methods watershed prioritization Daroungar Watershed Northeast Iran. To this aim, weights parameters were determined six ranking based generation by model. Study results show that highest various belonged to different parameters. Comparison susceptibility maps indicated, except standard deviation method, there significant correlation among WM, preference selection index, criteria importance through intercriteria correlation, entropy, method removal effects methods; however, distribution classes not same hazard map aggregation depicts 6, 74, 27, 67 which have high priority hazard, rank all Overall, study, choosing was emphasized.

Language: Английский

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Prioritizing sub-watersheds for soil erosion using geospatial techniques based on morphometric and hypsometric analysis: a case study of the Indian Wyra River basin

Applied Water Science, Journal Year: 2023, Volume and Issue: 13(7)

Published: June 26, 2023

Abstract The hydrological availability and scarcity of water can be affected by geomorphological processes occurring within a watershed. Hence, it is crucial to perform quantitative evaluation the watershed’s geometry determine impact such on its hydrology. Geographic information systems (GIS) remote sensing (RS) techniques have become increasingly significant because they enable decision-makers strategists make accurate efficient decisions. To prioritize sub-watersheds Wyra watershed, this research employs two methods: morphometric analysis hypsometric analysis. watershed was divided into eleven (SWs). prioritization in involved assessing several parameters, as relief, linear, areal features, for each sub-watershed. Furthermore, importance determined computing integral (HI) values using elevation–relief ratio method. final based through integration principal component (PCA) weighted sum approach (WSA). SW2 SW9 had higher priorities analysis, whereas SW6, SW7, SW10 obtained SW4 most common SW that shares same priority. vulnerable are those with highest priority, therefore, programmes soil conservation should pay more attention them. conclusions study may prove useful various stakeholders initiatives related development management.

Language: Английский

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Development of an automated method for flood inundation monitoring, flood hazard, and soil erosion susceptibility assessment using machine learning and AHP–MCE techniques

Geoenvironmental Disasters, Journal Year: 2024, Volume and Issue: 11(1)

Published: March 26, 2024

Abstract Background Operational large-scale flood monitoring using publicly available satellite data is possible with the advent of Sentinel-1 microwave data, which enables near-real-time (at 6-day intervals) mapping day and night, even in cloudy monsoon seasons. Automated inundation area identification involves advanced geospatial processing platforms, such as Google Earth Engine robust methodology (Otsu’s algorithm). Objectives The current study employs for extent machine learning (ML) algorithms Assam State, India. We generated a hazard soil erosion susceptibility map by combining multi-source on weather conditions terrain characteristics. Random Forest (RF), Classification Regression Tool (CART), Support Vector Machine (SVM) ML were applied to generate map. Furthermore, we employed multicriteria evaluation (MCE) analytical hierarchical process (AHP) mapping. Summary highest prediction accuracy was observed RF model (overall [OA] > 82%), followed SVM (OA 82%) CART 81%). Over 26% indicated high hazard-prone areas, approximately 60% showed severe potential due flooding. automated platform an essential resource emergency responders decision-makers, it helps guide relief activities identifying suitable regions appropriate logistic route planning improving timeliness response efforts. Periodic maps will help long-term policymaking, management, biodiversity conservation, land degradation, sustainable agriculture interventions, crop insurance, climate resilience studies.

Language: Английский

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Modelling of soil erosion susceptibility incorporating sediment connectivity and export at landscape scale using integrated machine learning, InVEST-SDR and Fragstats

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 353, P. 120164 - 120164

Published: Jan. 31, 2024

Language: Английский

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A novel integrated multicriteria decision analysis framework for group decision-making in evapotranspiration model selection

Environment Development and Sustainability, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 11, 2025

Language: Английский

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