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SATEEC 시스템을 이용한 객토 토양의 토성고려에 따른 도암댐 유역의 토양유실 및 유사량 분석
유동선 ( Dongsun Yoo ),안재훈 ( Jaehun Ahn ),윤정숙 ( Jongsuk Yoon ),허성구 ( Sunggu Heo ),박윤식 ( Younshik Park ),김종건 ( Jonggun Kim ),임경재 ( Kyoung Jae Lim ),김기성 ( Ki-sung Kim ) 한국농공학회 2007 한국농공학회 학술대회초록집 Vol.2007 No.-
There have been serious soil erosion and water pollution problems caused by highland agriculture practices at Doam-dam watershed. Especially agricultural activities, chemical and organic fertilizer and pesticide applications, soil reconditioning to maintain soil fertility are known as primary causes of soil erosion and water qaulity degradation in the receiving water bodies. Among these, soil reconditioning can accelerate soil erosion rates. To develop soil erosion prevention practices, it is necessary to first estimate the soil erosion from the watershed. Thus, the Universal Soil Loss Equation (USLE) model has been developed and utilized to assess soil erosion. However, the USLE model cannot be used at watershed scale because it does not consider sediment delivery ratio (SDR) for watershed application. For this reason, the Sediment Assessment Tool for Effective Erosion Control (SATEEC) was developed to assess the sediment yield at any point in the watershed. The USLE-based SATEEC system can estimate the SDR using area-based SDR and slope-based SDR module. In this study, the SATEEC system was used to estimate soil erosion and sediment yield at the Doam-dam watershed using the soil properties from reconditioned agricultural fields. Based on the soil sampling and analysis, the USLE K factor was calculated and used in the SATEEC system to analyze the possible errors of previous USLE application studies using soil properties from the digital soil map, compared with that using soil properties obtained in this study. The estimated soil erosion at the Doam-dam watershed without using soil properties obtained in the soil sampling and analysis is 1,791,400 ton/year (123 ton/ha/year), while the soil erosion amounts is 2,429,900 ton/year (166.8 ton/ha/year) with the use of soil properties from the soil sampling and analysis. There is 35% increases in estimated soil erosion and sediment yield with the use of soil properties from soil reconditioned agricultural fields. Since significant amounts of soil erosion are known to be occurring from the agricultural fields, the soil erosion and sediment yield from only agricultural fields was assessed. The soil erosion rate is 45.9 ton/ha/year without considering soil properties from soil reconditioned agricultural fields, while 105.3 ton/ha/year after considering soil properties obtained in this study, increased in 129%. This study shows it is very important to use correct soil properties to assess soil erosion and sediment yield simulation. It is recommended that further studies are needed to develop environment friendly soil reconditioning method should be developed and implemented to decrease the speed of soil erosion rates and water quality degradation.
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신용철 ( Yongchul Shin ),최중대 ( Joongdae Choi ),류창원 ( Kyoungjae Lim ),임경재 ( Changwon Lyou ),신민환 ( Minhwan Shin ),최용훈 ( Yonghun Choi ),김기성 ( Kisung Kim ),허성구 ( Sunggu Heo ) 한국농공학회 2006 한국농공학회 학술대회초록집 Vol.2006 No.-
Forest watershed, located in Chuncheon-si, Gangwon province, Korea, is selected to analyze characteristics of the pollutant loads with water quality sampling frequencies. In 2005, the yearly streamflow of the forest watershed was 43,265,325 ㎥ and 61% of that was intensively generated from June to September. Pollutant loads of T-N, NO<sub>3</sub>-N, and T-P before and after rainy days were over twelve times greater than those during heavy rainy days. However, pollutant loads were not shown some obvious differences between them during rainy and dry days, respectively. When water quality frequencies were collected in the range of 4~32, relative errors of pollutant loads were highly shown over 13 to 31%, respectively. However, relative errors of T-N and NO<sub>3</sub>-N, on which water sampling frequencies were augmented over 36~40 times, were shown less than 10% and those of T-P were gradually decreased by increasing of sampling frequencies. Therefore, it was strongly thought that over 3 to 5 of water samples during the single rainfall event and 35 to 40 of those during heavy rainy days should be collected to reduce uncertainty of monitoring information and gather some confidential data because concentration values were greatly influenced by the various contents such as the landuse, agricultural management and environmental condition.
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