Results 101 to 110 of about 2,359 (207)

Temporal and Spatial Dynamics of Soil Erosion and Its Influencing Factors in Yunlong County, Northwest Yunnan Province from 2000 to 2020

Shuitu Baochi Xuebao
［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, WANG Keqin, SONG Yali, MA Jiangang, LIU Xinyi, WANG Zhenchao, ZHAO Yangyi   +6 more
doaj   +1 more source

ESTIMATION OF SOIL EROSION IN MOUNTAINOUS WATERSHEDS WITH THE COMBINED USE OF RUSLE MODEL AND GEOGRAPHIC INFORMATION SYSTEMS

, 2016
Στην παρούσα εργασία εφαρμόστηκε η μέθοδος RUSLE για την εκτίμηση της μέσης ετήσιας εδαφικής διάβρωσης στη λεκάνη απορροής του χειμάρρου Κλεινοβίτικου του Νομού Τρικάλων χρησιμοποιώντας τα Γεωγραφικά Συστήματα Πληροφοριών.
Stefanidis, Stefanos, Stefanidis, Panagiotis, Chatzichristaki, Chrysoula   +2 more
core   +1 more source

Distribution Characteristics and Coupling Relationship Between Soil Erosion and Hydrologic and Sediment Connectivity in Changchong River Basin

Shuitu Baochi Xuebao
[Objective] To clarify the distribution characteristics and coupling relationship between soil erosion and hydrologic and sediment connectivity in Changchong River Basin, and to provide basis for soil erosion control and soil erosion prevention in this ...
LI Jianing, ZHANG Hongli, TIAN Changyuan, ZHANG Yi, ZHA Tonggang   +4 more
doaj   +1 more source

Development of Operational RUSLE Soil Erosion Model in the JRC IMPACT Toolbox: Assessment and Consolidation in Kenya [PDF]

The report presents the development of an operational Revised Universal Soil Loss Equation (RUSLE) model into the JRC IMPACT Toolbox to support soil erosion modelling activities in Africa.
DESCLÉE Baudouin, CLERICI Marco, SIMONETTI Dario   +2 more
core   +1 more source

Carta dell'erosione del suolo del Lazio meridionale

GEOmedia, 2015
The present work was aimed to test the operability of the RUSLE prediction model, on the basis of available data, in combination with different interpolation methods in the area of southern Lazio (central Italy). The work was based on published rainfall,
Sergio Grauso, Vladimiro Verrubbi, Cinzia Crovato, Alessandro Zini, Alessandro Peloso   +4 more
doaj   +2 more sources

Introducing seasonal snow memory into the RUSLE

Purpose: The sediment supply to rivers, lakes, and reservoirs has a great influence on hydro-morphological processes. For instance, long-term predictions of bathymetric change for modeling climate change scenarios require an objective calculation ...
Haun, Stefan, Schwindt, Sebastian, Morales Oreamuno, Maria Fernanda, Wieprecht, Silke, Mouris, Kilian   +4 more
core   +1 more source

Soil loss estimation using the Revised Universal Soil Loss Equation and geospatial techniques in the Upper Suvarnavathy River Basin, Karnataka, India

Journal of Degraded and Mining Lands Management
Soil erosion occurs gradually when the impact of water or wind detaches and removes soil particles, causing the soil to deteriorate. Because of its adverse effects on biomass and economic production, soil degradation is a worldwide environmental issue ...
M Sasi, Sawant Sushant Anil, Dhanjit Deka   +2 more
doaj   +1 more source

Analysis of Spatial and Temporal Changes and Driving Factors of Soil Erosion in Longchuan River Basin in Recent 20 Years

Shuitu Baochi Xuebao
[Objective] The objective is to explore the spatial and temporal changes of soil erosion and its main controlling factors in the Longchuan River Basin, as well as to understand mastering the local soil and water, which is conducive to building an ...
PENG Dali, ZHANG Bin, WU Linpeng, ZOU Jieshi, LUO Jun, LIU Hui, WANG Lei   +6 more
doaj   +1 more source

Assessment of changes in soil erosion risk using RUSLE in navrood watershed, Iran

, 2017
Risk assessment of soil erosion, one of the most important land degradation problems worldwide, is very essential for land and water resources management, and development of soil conservation methods.
Asadi, H, Honarmand, M, Vazifedoust, M, Moussavi, A   +3 more
core  

Evaluation of USLE and RUSLE estimated soil loss on rangeland

, 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., Pierson, F. B., Blackburn, W. H., Spaeth, K. E.   +3 more
core   +1 more source