Results 91 to 100 of about 4,919 (209)

RUSLE- ja TWI-kartta-aineistojen hyödyntäminen maanmuokkauksen suunnittelussa [PDF]

, 2019
Opinnäytetyön tavoitteena oli tutkia kahden maaperän ominaisuuksia kuvailevan aineiston, RUSLE-eroosiomallin ja TWI-kosteusindeksikartan hyödyntämisen mahdollisuutta metsän uudistamista edeltävän maanmuokkauksen etukäteissuunnittelussa.
Lilja, Aku
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Applying the RUSLE and ISUM in the Tierra de Barros vineyards (Extremadura, Spain) to estimate soil mobilisation rates

, 2020
Gyasi-Agyei, Y ORCiD: 0000-0002-2671-1180Spain is one of the largest wine producers in the world, with Extremadura (south-west Spain) being its second-largest producing region after Castilla La Mancha.
Pulido, Manuel P, Jesús Rodrigo-Comino, Pulido Fernandez, Manuel, J Barrena-González (9867119), MP Pulido (9867122), A Cerdá (9867125), Artemi Cerdà, Yeboah Gyasi-Agyei, Gyasi-Agyei, Yeboah, Cerdá, Artemi, Manuel Pulido Fernández, Barrena-González, Jesús, Yeboah Gyasi-Agyei (9800804), Rodrigo-Comino, Jesús, J Rodrigo-Comino (9863717), Jesús Barrena-González   +15 more
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Proceeding and Application on Soil Erosion Model of RUSLE

Shuitu baochi yanjiu, 2004
RUSLE model is established on the basis of USLE and one of soil erosion predicting model being used widely at home and abroad.The proceeding and application of RUSLE model are reviewed synthetically from 6 aspects of RUSLE model such as exploiting ...
CHEN Yun-ming~
doaj  

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
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Soil Erosion Prediction Using GIS and RUSLE: Study at Sampean Watershed [PDF]

, 2018
Soil Erosion Prediction Using GIS and RUSLE: Study at Sampean Watershed (A Faisol and Indarto): Erosion is one  factor that cause soil degradation in Indonesia. RUSLE (Revised Universal Soil Loss Equation) is widely used to predict average annual rate of
Faisol, Arif, Indarto, Indarto
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Evaluation of soil resilience to anthropopressure in Łosie village (Lower Beskids Mts) – preliminary results

Ekológia (Bratislava), 2013
This paper presents the preliminary results of research on soil resilience to anthropopressure in Łosie village (Lower Beskids Mts). The considered risks included three features which reflect soil resilience: predicted soil loss caused by water erosion ...
Nowak Agnieszka, Tokarczyk Natalia
doaj   +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
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Assessing the Interaction between Water Erosion and SOC Storage in a Small Mexican Watershed

Ingeniería e Investigación
Water erosion is a significant issue that impacts a substantial portion of Mexico. The purpose of this study is to establish a connection between soil erosion and soil organic carbon (SOC) reserves. This work was conducted within a small watershed in the
Olimpya Talya Aguirre-Salado, Joel Pérez-Nieto, Carlos A. Aguirre-Salado, Alejandro Ismael Monterroso Rivas   +3 more
doaj   +1 more source

Erosion Prediction Based on Terrestris Survey and RUSLE Method (Revised Universal Soil Loss Equation) in Precet Forest Park, Wagir, Malang

Geosfera Indonesia
Erosion was a process that led to decreased land productivity and soil layer depletion. Four factors affected erosion, including erosivity, erodibility, slope and land cover.
Listyo Yudha Irawan, Hyundra Zakiya Putri Wahyu, Ayunda Laras Firdausa, Andhika Ananda Wijaya, Vischawafiq Azizah, Widodo Eko Prasetyo   +5 more
doaj   +1 more source

Test of the RUSLE and Key Influencing Factors Using GIS and Probability Methods: A Case Study in Nanling National Nature Reserve, South China

Advances in Civil Engineering, 2019
The main purposes of the study were to test the performance of the Revised Universal Soil Loss Equation (RUSLE) and to understand the key factors responsible for generating soil erosion in the Nanling National Nature Reserve (NNNR), South China, where ...
Jun Wang, Qian He, Ping Zhou, Qinghua Gong   +3 more
doaj   +1 more source