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논문 기본 정보

자료유형
학술대회자료
저자정보
Thuy, H.T. (Construction& Disaster Prevention Engineering, Kyungpook National University) Lee, Giha (Construction& Disaster Prevention Engineering, Kyungpook National University) Lee, Daeeop (Dept. of Construction & Disaster Prevention Eng, Kyungpook National University) Sophal, Try (Construction& Disaster Prevention Engineering, Kyungpook National University)
저널정보
한국수자원학회 한국수자원학회 학술발표회 한국수자원학회 2016년도 학술발표회
발행연도
2016.1
수록면
188 - 188 (1page)

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The Mekong which is one of the world's most significant rivers plays an extremely important role to South East Asia. Lying across six riparian countries including China, Myanmar, Thailand, Laos, Cambodia and Vietnam and being a greatly biological and ecological diversity of fishes, the river supports a huge population who living along Mekong Basin River. Therefore, much attention has been focused on the giant Mekong Basin River, particularly, the soil erosion and sedimentation problems which rise critical impacts on irrigation, agriculture, navigation, fisheries and aquatic ecosystem. In fact, there have been many methods to calculate these problems; however, in the case of Mekong, the available data have significant limitations because of large area (about 795 00 km2) and a failure by management agencies to analyze and publish of developing countries in Mekong Basin River. As a result, the Universal Soil Loss Equation (USLE) model in a GIS (Geographic Information System) framework was applied in this study. The USLE factors contain the rainfall erosivity, soil erodibility, slope length, steepness, crop management and conservation practices which are represented by raster layers in GIS environment. In the final step, these factors were multiplied together to estimate the soil erosion rate in the study area by using spatial analyst tool in the ArcGIS 10.2 software. The spatial distribution of soil loss result will be used to support river basin management to find the subtainable management practices by showing the position and amount of soil erosion and sediment load in the dangerous areas during the selected 56- year period from 1952 to 2007.

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