Results 31 to 40 of about 3,823 (214)

Soil erosion by snow gliding - a first quantification attempt in a subalpine area in Switzerland [PDF]

, 2014
Snow processes might be one important driver of soil erosion in Alpine grasslands and thus the unknown variable when erosion modelling is attempted.
Mabit, L., Meusburger, K., Alewell, C., Walter, A., Mueller, M. H., Leitinger, G.   +5 more
core   +1 more source

GIS modeling of water erosion in Jordan using "RUSLE" نمذجة رياضية اعتمادا على نظم المعلومات الجغرافية لتعرية المياه في الأردن باستخدام نموذج RUSLE [PDF]

Assiut University Bulletin for Environmental Researches, 2014
Jordan is a country dominated by arid climate and fragile ecological system, which makes land degradation, soil erosion and desertification important areas of interest.
doaj   +1 more source

Soil Erosion and Spatio-temporal Variations in Huangshui River Basin Based on MODIS and Landsat Data

Shuitu baochi tongbao, 2022
[Objective] The spatio-temporal distribution and variation characteristics of soil erosion in the Huangshui River basin in the upstream region of the Yellow River were analyzed in order to provide basic data and a basis for decision-making in relation to
Du Mei, Zhao Jianyun, Yang Jing, Ding Yuanyuan, Liu Wenhui, Li Guorong, Wang Zushun, Zhao Lijiang   +7 more
doaj   +1 more source

Spatial representation of the factors required in the RUSLE calculation.

, 2023
Spatial representation of the factors required in the RUSLE calculation.
Fausto Sarmiento (14670906), Fabián Santos (8174028), Santiago Bonilla (8174034), Mathew Herrnegger (6816194), Nora Calle (14670903)   +4 more
core   +1 more source

Potenziale erosivo nel bacino del fiume Mera. Un approccio tramite il modello D-RUSLE [PDF]

, 2021
LAUREA MAGISTRALEL’erosione di suolo è considerata come uno dei maggiori rischi idrogeologici che colpiscono i territori europei. Il suolo è una risorsa naturale non rinnovabile, infatti il suo rateo annuo medio di formazione è minore della perdita di
Maruffi, Lucia
core  

Remote sensing, GIS, and RUSLE in soil loss estimation in the Kulfo river catchment, Rift valley, Southern Ethiopia

Journal of Degraded and Mining Lands Management, 2022
Quantification of soil is crucial for maximizing the advantages of land resources while minimizing the negative consequences of land degradation in the long term.
Muralitharan Jothimani, Ephrem Getahun, Abel Abebe   +2 more
doaj   +1 more source

RUSLE C-factors for slope protection applications

Journal American Society of Mining and Reclamation, 2004
Despite the fact that the Universal Soil Loss Equation (USLE) was originally developed to estimate erosion rates for agricultural lands, both the USLE and its successors (RUSLE Versions 1.06, 2.0) are increasingly applied to non-agricultural land disturbances.
R. D. Karpilo, Jr, T. J. Toy
openaire   +1 more source

Incorporating rocky desertification characteristic into soil erosion modeling in karst regions aligns better with regional conditions

International Soil and Water Conservation Research
The Revised Universal Soil Loss Equation (RUSLE) is the most widely used soil erosion modeling method worldwide. The karst regions, influenced by geological conditions and human activities, feature extensive exposure of carbonate rocks on the surface ...
Rui Li, Linlv Xiao, Feiyang Cai, Jiayong Gao, Maolin He, Jun Jing   +5 more
doaj   +1 more source

مقایسۀ فرسایش خاک به روش سزیم 137 و مدل RUSLE-3D در نهشته‌های لسی شمال شرق ایران ( مطالعه موردی: حوزه آبخیز آق امام) [PDF]

پژوهش‌های حفاظت آب و خاک, 2014
کاهش قابل توجه عملکرد حوزه‌های آبخیز ایران به دلیل حجم زیاد فرسایش، بیانگر ضرورت روزافزون پایش و پیگیری این پدیده مخرب است. در این مسیر، بکارگیری روش‌های نو و دانش روز از اهمیت زیادی برخوردار است. در سرتاسر جهان برای برآورد فرسایش خاک از روش‌ها و مدل‌های
حسین سیدعلیپور, سادات فیض نیا, حسن احمدی, محمدرضا زارع, محسن حسینعلی زاده   +4 more
doaj  

Erosividad de la lluvia en la Cuenca alta del Llobregat, SE Pirineos

Pirineos: Revista de Ecología de Montaña, 2010
El objetivo de este estudio fue determinar la distribución espacial de la erosividad de precipitación en una cuenca de 504 km2 en el Este de los Pirineos y evaluar sus incertidumbres.
G. Catari, F. Gallart
doaj   +1 more source