Results 81 to 90 of about 941 (174)
Abstract Blue water (BW) and green water (GW) resources are fundamental to the hydrological cycle, yet their effective future projection and mechanistic understanding remain challenging. Both physics‐based and data‐driven models have limitations in complex hydrological long‐term projection and nonlinear interpretation.
Zhonghui Guo +7 more
wiley +1 more source
[Objective] To investigate the response mechanism of temporal and spatial distribution of soil organic carbon (SOC) loss to soil erosion intensity, in order to provide basic data for the study of soil carbon cycling mechanism under erosion environment ...
TONG Yaning +5 more
doaj +1 more source
Himalayan watersheds in Nepal record high soil erosion rates estimated using the RUSLE model and experimental erosion plots. [PDF]
Joshi P +7 more
europepmc +1 more source
The mountainous areas in southwestern Sichuan Province, China, are prone to dry winters and springs, which create favorable conditions for frequent forest fires.
Youtai WU, Xiewen HU, Xichao CAO, Kun HE
doaj +1 more source
GIS based soil loss assessment using RUSLE model: A case of Horo district, western Ethiopia. [PDF]
Olika G, Fikadu G, Gedefa B.
europepmc +1 more source
Evaluation of Soil Erosion by RUSLE Model in Mount Guera
Issa Justin Laougué +2 more
openaire +1 more source
Exploring soil erosion and reservoir sedimentation through the RUSLE model and bathymetric survey
The aim of the paper was to compare the soil erosion in a river catchment with the sediment volume accumulated at the river mouth. Firstly, the sediment yield was estimated in GIS based on the soil loss according to the RUSLE model, and then further ...
Constantin Nistor +3 more
doaj +1 more source
Spatial Sediment Erosion and Yield Using RUSLE Coupled with Distributed SDR Model
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
Estimation of soil loss using RUSLE model for Sebou watershed (Morocco) [PDF]
In the current study, the revised universal equation of soil losses (RUSLE) is implemented, to assess the risk of water erosion in the Sebou watershed (Morocco). The calculation of erosion requires a huge amount of information and data from various sources available in different formats and scales. Therefore a geographic information system (ArcGIS 10.2)
openaire +1 more source
[Objective] The investigation of temporal and spatial variations in soil erosion and its influencing factors in Yunlong County is of great significance for the advancement of featured agriculture, management and restoration of ecological environment, and
ZHU Wanjing +6 more
doaj +1 more source

