Results 111 to 120 of about 3,823 (214)

Simulation Effect Analysis of RUSLE Model on Slope Soil Erosion Restored by Reclaimed Vegetation in Loess Plateau

open access: yesShuitu Baochi Xuebao
[Objective] To explore the effectiveness of the Revised Universal Soil Loss Equation (RUSLE) model in simulating soil erosion on slope surfaces during vegetation restoration in the Loess Plateau. [Methods] This study utilized rainfall-runoff and sediment
LIAO Jun   +4 more
doaj   +1 more source

TanDEM-X12m Sayısal Yükselti Verisine Dayalı Toprak Erozyonu Tespiti (Rusle)

open access: yes, 2020
Soil is one of the most important natural resources in the world. Determination of soil degradation has been widely attempted all over the world in the last 50 years.
Avcıoğlu, Aydoğan   +3 more
core  

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  

WebRUSLE : web-based revised universal soil loss equation (RUSLE)

open access: yes
Revised Universal Soil Loss Equation (RUSLE) is a standard for estimating soil loss caused by rainfall and overland flow. The current software tool that implements this standard is RUSLE 1.06b, which is a stand-alone DOS application.
Wuttiwat, Teerawat
core  

Use of the Revised Universal Soil Loss Equation (RUSLE) to Predict Event Soil Loss

open access: yes, 2002
Soil erosion is an important environmental and economic problem. Information about soil loss from erosion by water may be used to assess ecosystem health and function. Erosion events can be expensive and potentially dangerous.
Kelsey, Kurt L.
core  

Maps of Australian soil loss by water erosion derived using the RUSLE

open access: yes
The Revised Universal Soil Loss Equation (RUSLE) estimates the annual soil loss that is due to erosion using a factor-based approach with rainfall, soil erodibility, slope length, slope steepness and cover management and conservation practices as inputs.

core   +1 more source

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