Multi-criteria-based sub-basin prioritization and its risk assessment of erosion susceptibility in Kansai–Kumari catchment area, India

Applied Water Science, Journal Year: 2019, Volume and Issue: 9(4)

Published: April 30, 2019

Environmental processes are interrupted by the water action like soil erosion, mass movement as well siltation on dam in undulating catchment area. Soil erosion is one of them and degraded basin potentiality. This paper demonstrates that susceptibility status 13 sub-basins Kansai–Kumari area has been determined depending upon its morphometric, lithology, geomorphic, land use/land cover (LULC), slope characteristics used integrated micro-watershed prioritization rank which based susceptible capacity under geographical information system platform. Risk assessment was measured hypsometric characteristic (Hi) denudation rate (tu) to assess geological stage landform risk for conservative practices. The result shows SB13, 2 have a high (tu > 90 t/km2/year) due presence low priority slope, lithological set-up LULC but reached late mature (Hi 0.35). SB3, 4, 10 < 83 geology, types setting 0.5). But SB7, 8, 9 medium 85 erosion-prone patterns cropland laterite having final old Therefore, does not depend morphometric aspects also depends other determinant themes at sub-basin level.

Language: Английский

---

Morphometric analysis to characterize the soil erosion susceptibility in the western part of lower Gangetic River basin, India

Arabian Journal of Geosciences, Journal Year: 2021, Volume and Issue: 14(6)

Published: March 1, 2021

Language: Английский

---

Investigation of human-induced land use dynamics in a representative catchment on the Chota Nagpur Plateau, India: A spatiotemporal application of soil erosion modeling with connectivity index studies

CATENA, Journal Year: 2022, Volume and Issue: 217, P. 106524 - 106524

Published: July 18, 2022

Language: Английский

---

Estimating water erosion in the EL-Mador Valley Basin, South-West Matrouh City, Egypt, using revised universal soil loss equation (RUSLE) model through GIS

Environmental Earth Sciences, Journal Year: 2023, Volume and Issue: 82(1)

Published: Jan. 1, 2023

Abstract Water erosion is among the largest and most crucial problems with soil loss that through land degradation in semi-arid regions North African areas are especially vulnerable to it. In addition, EL-Mador Valley Basin exposed due climate topographic properties as well a human activity. this scope, aim of study perform an evaluation hazards El-Mador by employing equation RUSLE data RS within frame GIS. Furthermore, various raster layers have been designed parameters, such ( R ), K LS C P) , these inputs were merged into GIS-based framework for measuring degree degradation. The results demonstrate ranged values from 0 > 2500 ton ha –1 year geographical average 54.80 . hazard map was created which divided five categories: Low (56.56%), Moderate (13.88%), High (8.09%), Severe (8.82%), Extreme (12.65%). Moreover, will be important create mitigation strategies where high, severe, extreme, also assisting local administration setting priorities basis decision-makers suitable actions decrease hazards.

Language: Английский

---

The integration of RUSLE-SDR lumped model with remote sensing and GIS for soil loss and sediment yield estimation

Advances in Space Research, Journal Year: 2023, Volume and Issue: 71(11), P. 4636 - 4658

Published: Jan. 10, 2023

Language: Английский

---

Spatial land degradation vulnerability assessment in a plateau fringe river basin of Jharkhand, India

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)

Published: Jan. 7, 2025

Language: Английский

---

High-Resolution Mapping of Topsoil Sand Content in Planosol Regions Using Temporal and Spectral Feature Optimization

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(3), P. 553 - 553

Published: Feb. 6, 2025

Soil sand content is an important characterization index of soil texture, which directly affects water regulation, nutrient cycling, and crop growth potential. Therefore, its high-precision spatial distribution information great importance for agricultural resource management land use. In this study, a remote sensing prediction method based on the combination time-phase optimization spectral feature preference innovatively proposed improving mapping accuracy in till layer planosol area. The study first analyzed performance single-time-phase images, screened optimal (May), constructed model, achieved significant accuracy, with coefficient determination (R2) 0.70 root mean square error (RMSE) 1.26%. Subsequently, model was further optimized by combining multiple time phases, improved to R2 = 0.77 RMSE decreased 1.10%. At level, recursive elimination (RF-RFE) utilized preferentially select 19 key variables from initial set, among short-wave infrared bands (b11, b12) visible (b2, b3, b4) contributed most significantly prediction. Finally, 0.79 1.05% multi-temporal-multi-feature fusion modeling. map generated shows that areas high are primarily located northern central regions Shuguang Farm. This not only provides new technical path accurate texture area, but also reference improvement monitoring methods other typical areas. research results can provide high-resolution maps over wider area future.

Language: Английский

---

Evaluating soil erosion zones in the Kangsabati River basin using a stacking framework and SHAP model: a comparative study of machine learning approaches

Environmental Sciences Europe, Journal Year: 2025, Volume and Issue: 37(1)

Published: March 7, 2025

Language: Английский

---

Understanding hydrogeomorphic and climatic controls on soil erosion and sediment dynamics in large Himalayan basins

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 795, P. 148972 - 148972

Published: July 8, 2021

Language: Английский

---

Soil erosion estimation of Bhandara region of Maharashtra, India, by integrated use of RUSLE, remote sensing, and GIS

Natural Hazards, Journal Year: 2021, Volume and Issue: 110(2), P. 937 - 959

Published: Aug. 16, 2021

Language: Английский

---