Results 91 to 100 of about 2,359 (207)

Temporal and spatial evolution characteristics of slope erosion caused by forest fires in Xide County, Sichuan Province

Shuiwen dizhi gongcheng dizhi
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]

Heliyon, 2023
Olika G, Fikadu G, Gedefa B.
europepmc   +1 more source

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

, 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  

Quantifying model uncertainty to improve watershed-level ecosystem service quantification: a global sensitivity analysis of the RUSLE

, 2019
Ecosystem service-support tools are commonly used to guide natural resource management. Often, empirically based models are preferred due to low data requirements, simplicity and clarity. Yet, uncertainty produced by local context or parameter estimation
Elizabeth B. Harper (2907263), Alexander K. Fremier (285867), Fabrice DeClerck (217193), Natalia Estrada-Carmona (3240588)   +3 more
core   +1 more source

Soil erosion and intensive agriculture (Lessini Veronesi, NE Italy): multi-temporal modeling on DEM from photogrammetry and LiDAR [PDF]

openLa tesi si propone di valutare l’impatto della coltivazione intensiva della vite sull’erosione del suolo nei pressi di Monteforte d’Alpone, in provincia di Verona, attraverso un’analisi multi-temporale su modelli digitali del terreno (DEM) ottenuti ...
RIGON, BARBARA
core  

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

Water
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, Umesh Singh, Krishna Kanta Panthi, Pawan Kumar Bhattarai   +3 more
openaire   +2 more sources

Quantifying model uncertainty to improve watershed-level ecosystem service quantification: a global sensitivity analysis of the RUSLE [PDF]

, 2016
Ecosystem service-support tools are commonly used to guide natural resource management. Often, empirically based models are preferred due to low data requirements, simplicity and clarity. Yet, uncertainty produced by local context or parameter estimation
Fremier, Alexander K., Harper, E.B., DeClerck, Fabrice A.J., Estrada Carmona, Natalia   +3 more
core  

Estimation of soil loss using RUSLE model for Sebou watershed (Morocco) [PDF]

Modeling Earth Systems and Environment, 2016
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

Evaluation of Soil Erosion by RUSLE Model in Mount Guera

OALib, 2023
Issa Justin Laougué, Djebé Mbaindogoum, Mahamat Ali Mustapha   +2 more
openaire   +1 more source

Soil Erosion Prediction Using RUSLE with GIS

, 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