Results 91 to 100 of about 16,446,524 (207)

Optimization of soil and water conservation practice factor and its influence on simulation accuracy of RUSLE model

open access: yes中国水土保持科学
ObjectiveSoil erosion poses a global threat to ecological and agricultural sustainability. In 2024, soil erosion affected 15.70% of Hubei province's total land area. While the RUSLE model is widely used as an empirical statistical model, the value of its
Pei TIAN, Jie ZHOU, Yi HE
doaj   +1 more source

Himalayan watersheds in Nepal record high soil erosion rates estimated using the RUSLE model and experimental erosion plots. [PDF]

open access: yesHeliyon, 2023
Joshi P   +7 more
europepmc   +1 more source

PREDIKSI LAJU EROSI MENGGUNAKAN MODEL RUSLE PADA SUB DAS LANANG KECAMATAN BUMIAJI KOTA BATU

open access: yes, 2015
ABSTRAK   Bahri, Ulum Ardian. 2015. Prediksi Laju Erosi Menggunakan Model RUSLE Pada Sub DAS Lanang di Kecamatan Bumiaji Kota Batu. Skripsi. Jurusan Geografi, Fakultas Ilmu Sosial, Universitas Negeri Malang. Pembimbing: (I) Drs.
ULUM ARDIAN BAHRI; MAHASISWA
core  

Estimating soil erodibility for the RUSLE with rainfall simulation in central Queensland, Australia

open access: yes
Context Land use change in central Queensland has led to increased sediment and nutrient loads in the Great Barrier Reef (GBR) lagoon, impacting water quality.
Elledge, AE, Bosomworth, B, Yu, B
core   +1 more source

SPATIAL IDENTIFICATION AND CLASSIFICATION OF SOIL EROSION PRONE ZONES USING REMOTE SENSING & GIS INTEGRATED ‘RUSLE’ MODEL AND ‘SATEEC GIS SYSTEM’

open access: yes, 2016
Soil erosion by water is pronounced critical problem in Himalayan regions due to anthropogenic pressure on its mountainous landscape. Its assessment and mapping of erosion prone areas are very essential for soil conservation and watershed management. The
Narasayya Kamuju*
core   +1 more source

Assessment of soil erosion in the Chambal River Basin, India using RUSLE model – implications for agricultural sustainability

open access: yesJournal of Geospatial Science and Analytics
Soil erosion is the most concerning issue for agricultural sustainability by decreasing the soil quality. The soil erosion within the Chambal River Basin was assessed using the Revised Universal Soil Loss Equation (RUSLE), satellite-derived datasets such
Venkadesh Samykannu
doaj   +1 more source

Analysis of Spatial and Temporal Evolution and Dynamic Driving Force of Soil Water Erosion in the Middle Reaches of the Yellow River in the Rich and Coarse Sediment Area

open access: yesShuitu Baochi Xuebao
[Objective] To reveal the spatial and temporal evolution characteristics of soil water erosion in the middle reaches of the Yellow River in the rich and coarse sediment area from 2000 to 2020, and analyze its dynamic driving force. [Methods] Based on the
ZHANG Zhuopei   +6 more
doaj   +1 more source

Spatial Sediment Erosion and Yield Using RUSLE Coupled with Distributed SDR Model

open access: yesWater
Estimating sediment yield in a river is a challenging task in the water resources field. Different methods are available for estimating sediment erosion and yield, but generally they are not spatially distributed in nature. This paper presents the application of the Revised Universal Soil Loss Equation (RUSLE) for estimating soil erosion and integrates
Sanyam Ghimire   +3 more
openaire   +2 more sources

Soil Erosion Prediction Using RUSLE with GIS

open access: yes, 2006
This research integrated the Rivised Universal Soil Loss Equation (RUSLE) model with RS and GIS techniques to quantify soil erosion risk, took upper Chaobai River basin, China as an example to map soil erosion within ArcGIS environment by using the RUSLE
Lin Q. H., Wang X. Y., Ieee
core  

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