GIS-based RUSLE model for estimating soil erosion and sediment yield in Rushikulya River Basin of Odisha, India DOI

Padminee Samal,

Prakash Chandra Swain,

Sandeep Samantaray

et al.

Journal of Earth System Science, Journal Year: 2024, Volume and Issue: 133(4)

Published: Nov. 30, 2024

Language: Английский

Assessment of forest disturbance and soil erosion in wind farm project using satellite observations DOI
Zilong Xia, Yingjie Li, Shanchuan Guo

et al.

Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 212, P. 107934 - 107934

Published: Sept. 27, 2024

Language: Английский

Citations

5

Optimal Mapping of Soil Erodibility Factor (K) Using Machine Learning Models in a Semi-arid Watershed DOI Creative Commons
Mohammad Sajjad Ghavami, Na Zhou, Abdolhossein Ayoubi

et al.

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

Citations

0

Water conservation assessment and its influencing factors identification using the InVEST and random forest model in the northern piedmont of the Qinling Mountains DOI Creative Commons
Song He, Hui Qian, Yuan Liu

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 57, P. 102194 - 102194

Published: Jan. 15, 2025

Language: Английский

Citations

0

Soil erosion susceptibility maps and raster dataset for the hydrological basins of North Africa DOI Creative Commons
Adil Salhi, Sara Benabdelouahab, Essam Heggy

et al.

Scientific Data, Journal Year: 2025, Volume and Issue: 12(1)

Published: Jan. 14, 2025

Soil erosion in North Africa modulates agricultural and urban developments as well the impacts of flash floods. Existing investigations associated datasets are mainly performed localized areas, often representing a limited part watershed. The above compromises implementation mitigation measures for this vast area under accentuating extremes continuous hydroclimatic fluctuations. To address deficiency, we use Revised Universal Loss Equation to map surface erosion, providing first insight into decadal land degradation, which largely unconstrained on Africa's continental scale. We generate soil maps major hydrological basins using Google Earth Engine multiple datasets, covering 5.8 million square kilometers. generated geospatial dataset integrates use, erodibility, slope, vegetation cover, practices. resulting product is an expansive publicly available susceptibility rasters (SESMAR). This crucial step toward understanding drivers vast, poorly characterized its potential be used future conservation campaigns both planning. validate SESMAR Global Rainfall Erosivity Database (GloREDa) European Data Centre (ESDAC) published peer-reviewed reports across 20 watersheds, demonstrating robust agreement assessing average annual loss values classes local areas covered by independent study teams. Our show commendable accuracy, supporting scientists, practitioners, policymakers their efforts more resilient management practices mitigate rising extremes.

Language: Английский

Citations

0

Large-scale mapping of soil particle size distribution using legacy data and machine learning-based pedotransfer functions DOI Creative Commons

Piroska Kassai,

Mihály Kocsis, Gábor Szatmári

et al.

Geoderma, Journal Year: 2025, Volume and Issue: 454, P. 117178 - 117178

Published: Jan. 21, 2025

Language: Английский

Citations

0

Groundwater quality and hydrogeochemical challenges in the Sarakhs Plain, NE Iran: a call for sustainable management DOI
Maryam Tajbakhshian

Environmental Geochemistry and Health, Journal Year: 2025, Volume and Issue: 47(3)

Published: Feb. 12, 2025

Language: Английский

Citations

0

Modeling soil erosion for sustainable landscape management using RUSLE in the landscapes of Abaya-Chamo Sub-Basin, Ethiopia DOI Creative Commons

Melku Dagnachew Alemu,

Fanuel Laekemariam,

Sisay A. Belay

et al.

Modeling Earth Systems and Environment, Journal Year: 2025, Volume and Issue: 11(3)

Published: March 12, 2025

Language: Английский

Citations

0

Digital Terrain Analysis for Characterization of Terrain Variables Governing Soil Erosion and Watershed Hydrology DOI
Suresh Kumar, Anu David Raj, Justin George Kalambukattu

et al.

Springer geography, Journal Year: 2025, Volume and Issue: unknown, P. 469 - 490

Published: Jan. 1, 2025

Language: Английский

Citations

0

Gridded rainfall erosivity (2014–2022) in mainland China using 1 min precipitation data from densely distributed weather stations DOI Creative Commons
Yueli Chen, Yun Xie, Xingwu Duan

et al.

Earth system science data, Journal Year: 2025, Volume and Issue: 17(3), P. 1265 - 1274

Published: March 27, 2025

Abstract. The risk of water erosion in mainland China is intensifying due to climate change. A high-precision rainfall erosivity dataset crucial for understanding the spatiotemporal patterns and identifying key areas erosion. However, limited resolution historical precipitation data, there are significant biases estimation China, particularly regions with complex terrain climatic conditions. Over past decade, Meteorological Administration has continuously strengthened its ground-based meteorological observation capabilities, establishing a dense network stations. These data provide reliable basis quantifying pattern China. In this study, rigorous quality control was performed on 1 min ground from nearly 70 000 stations nationwide between 2014 2022, ultimately selecting 60 129 Using these stations, event calculated, producing national mean annual spatial 0.25°. This shows that approximately 1241 MJ mm ha−1 h−1 yr−1, values exceeding 4000 yr−1 primarily concentrated southern Tibetan Plateau. derived previously released datasets found be 31 % 65 higher than value calculated basin-level discrepancies our findings other studies also vary significantly. summary, release enables more accurate assessment current intensity available National Plateau/Third Pole Environment Data Center (https://doi.org/10.11888/Terre.tpdc.301206; Chen, 2024).

Language: Английский

Citations

0

WebGIS-based decision support system for soil erosion risk assessment for Guder River catchment, Ethiopia DOI Creative Commons

Kedir Kemal Hajisheko,

Karuturi Venkata Suryabhagavan,

Soumya Karuturi

et al.

Geosystems and Geoenvironment, Journal Year: 2025, Volume and Issue: unknown, P. 100387 - 100387

Published: March 1, 2025

Language: Английский

Citations

0