Results 91 to 100 of about 5,715 (208)

Using the USLE: Chances, challenges and limitations of soil erosion modelling

open access: yes, 2019
To give soils and soil degradation, which are among the most crucial threats to ecosystem stability, social and political visibility, small and large scale modelling and mapping of soil erosion is inevitable.
Katrin Meusburger   +18 more
core   +1 more source

EFFETTI DELLA PENDENZA PARCELLARE SULLA PERDITA DI SUOLO STIMATA CON LA USLE-MM

open access: yes, 2015
La USLE-MM è un modello previsionale della perdita di suolo alla scala dell’evento erosivo che introduce il coefficiente di deflusso parcellare nel set di variabili indipendenti della USLE e consente la previsione di una perdita di suolo per unità di
BAGARELLO, Vincenzo   +2 more
core  

Evaluation of USLE and RUSLE estimated soil loss on rangeland

open access: yes, 2003
The Universal Soil Loss Equation (USLE) and the Revised Universal Soil Loss Equation (RUSLE 1.06) were evaluated with rainfall simulation data from a diverse set of rangeland vegetation types (8 states, 22 sites, 132 plots).
Weltz, M. A.   +3 more
core   +1 more source

Comparison of the K factor in different areas on the slope

open access: yesJournal of New Results in Science, 2021
Erosion is among the leading factors threatening our sources of soil and water. The use of soil susceptibility indices to determine erosion and risk situations is vital, especially in erosion studies.
Yunus Akdoğan   +3 more
doaj  

A comparison of the abilities of the USLE-M, RUSLE2 and WEPP to model event erosion from bare fallow areas

open access: yes, 2017
Traditionally, the Universal Soil Loss Equation (USLE) and the revised version of it (RUSLE) have been applied to predicting the long term average soil loss produced by rainfall erosion in many parts of the world.
P.I.A. Kinnell, KINNELL, Peter; id_orcid
core   +1 more source

Análisis de la susceptibilidad a la erosión hídrica en una cuenca de la Patagonia árida bajo distintos escenarios

open access: yesInvestigaciones Geográficas
La erosión hídrica es una de las principales causas de degradación de tierras. Las estimaciones de erosión son fundamentales para la optimización de estrategias de conservación de suelos.
Valeria Aramayo   +2 more
doaj   +1 more source

Technical Assessment Of Mud Handling Planning With Dredger Pump In Mining Front Area Of Pt. Makmur Lestari Primatama, Southeast Sulawesi, Indonesia

open access: yesJGEET: Journal of Geoscience, Engineering, Environment and Technology
The high intensity of rain can affect mining activities because rainwater will be collected and stored in the area with the lowest elevation. In mining areas that have the lowest elevation point, namely the pit area, this will have an impact on mining ...
Reza Aryanto   +3 more
doaj   +1 more source

Pengaruh Laju Sedimentasi terhadap Kapasitas Tampung Danau Sentarum, Provinsi Kalimantan Barat

open access: yesJurnal Sumber Daya Air
Lake Sentarum has a unique role as flood control in the lower reaches of the Kapuas River Basin. Changes in land use and high rainfall can cause an increase in the rate of erosion and sedimentation that occurs in the Sentarum Sub-river basin, which ...
M. Ma'ruf Akafi, Albert Wicaksono
doaj   +1 more source

Assessement and Predicting of Soil Erosion Risk at Semi-arid Mountain: Intergeration of the USLE Model and GIS Technique for Soil Conservation Planning Case Study: Sareskandarchy Catchement, Eastern Slope [PDF]

open access: yesنشریه جغرافیا و برنامه‌ریزی, 2016
Soil erosion is a major environmental proplem in the world which causes economic losses and threatens the sustainable development. Many factors are responsible for erosion acceleration in catchement scale. Soil erosion by water is the result of interplay
Maryam Baiati Khatibi
doaj  

PREDIKSI EROSI LAHAN DENGAN METODE USLE

open access: yesFondasi : Jurnal Teknik Sipil, 2012
Erosi adalah peristiwa pindahnya atau terangkutnya tanah atau butiran–butiran tanah dari suatu tempat ketempat lain oleh media alami.Erosi ditentukan dan dipengaruhi oleh faktor-faktor : iklim, topografi, vegetasi, tanah dan kegiatan manusia. Penelitian ini membandingkan antar prediksi erosi lahan dengan USLE dengan pengukuran langsung erosi lahan ...
openaire   +1 more source

Home - About - Disclaimer - Privacy