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임경재 ( Lim Kyoung-jae ),최예환 ( Engel Bernard A ),최중대 ( Choi Ye-hwan ),김기성 ( Choi Joong-dae ),신용철 ( Kim Ki-sung ),허성구 ( Shin Yong-cheol ),류창원 ( Heo Sung-gu ),( Lyou Chang Won ) 한국농공학회 2005 한국농공학회 학술대회초록집 Vol.2005 No.-
Accelerated soil erosion is a worldwide problem because of its economic and environmental impacts. To effectively estimate soil erosion and to establish soil erosion management plans, many computer models have been developed and used. The Revised Universal Soil Loss Equation (RUSLE) has been used in many countries, and input parameter data for RUSLE have been well established over the years. However, the RUSLE cannot be used to estimate the sediment yield for a watershed. Thus, the GIS-based Sediment Assessment Tool for Effective Erosion Control (SATEEC) was developed to estimate soil loss and sediment yield for any location within a watershed using the RUSLE and a spatially distributed sediment delivery ratio. SATEEC was enhanced in this study by developing new modules to:1) simulate the effects of sediment retention basins on the receiving water bodies, 2) prepare input parameters for the Web-based sediment decision support system using a GIS interface. This easy-to-operate SATEEC system can be used to identify areas vulnerable to soil loss and to develop efficient soil erosion management plans.
임경재 ( Kyoung Jae Lim ),박윤식 ( Youn Shik Park ),김종건 ( Jonggun Kim ),신용철 ( Yong-chul Shin ),김남원 ( Namwon Kim ),김성준 ( Seong-jun Kim ),전지홍 ( Ji-hong Jeon ),( Bernard A. Engel ) 한국농공학회 2009 한국농공학회 학술대회초록집 Vol.2009 No.-
Many hydrologic and water quality computer models have been developed and applied to assess hydrologic and water quality impacts of land use changes. These models are typically calibrated and validated prior to their application. The Long-Term Hydrologic Impact Assessment (L-THIA) model was applied to the Little Eagle Creek (LEC) watershed and compared with the filtered direct runoff using BFLOW and the Eckhardt digital filter (with a default BFImax value of 0.80 and filter parameter value of 0.98), both available in the Web GIS-based Hydrograph Analysis Tool, called WHAT (https://engineering.purdue.edu/~what). The R2 value and the Nash-Sutcliffe coefficient values were 0.68 and 0.64 with BFLOW, and 0.66 and 0.63 with the Eckhardt digital filter. Although these results indicate that the L-THIA model estimates direct runoff reasonably well, the filtered direct runoff values using BFLOW and Eckhardt digital filter with the default BFImax and filter parameter values do not reflect hydrological and hydrogeological situations in the LEC watershed. Thus, a BFImax GA-Analyzer module (BFImax Genetic Algorithm-Analyzer module) was developed and integrated into the WHAT system for determination of the optimum BFImax parameter and filter parameter of the Eckhardt digital filter. With the automated recession curve analysis method and BFImax GA-Analyzer module of the WHAT system, the optimum BFImax value of 0.491 and filter parameter value of 0.987 were determined for the LEC watershed. The comparison of L-THIA estimates with filtered direct runoff using an optimized BFImax and filter parameter resulted in an R2 value of 0.66 and the Nash-Sutcliffe coefficient value of 0.63. However, L-THIA estimates calibrated with the optimized BFImax and filter parameter increased by 33% and estimated NPS pollutant loadings increased by more than 20%. This indicates L-THIA model direct runoff estimates can be incorrect by 33% and NPS pollutant loading estimation by more than 20%, if the accuracy of the baseflow separation method is not validated for the study watershed prior to model comparison. This study shows the importance of baseflow separation in hydrologic and water quality modeling using the L-THIA model.
Google Map과 WAMIS 자료를 이용한 직접유출/기저유출 분리 시스템의 개발
임경재 ( Lim Kyoung Jae ),박윤식 ( Park Younshik ),김종건 ( Kim Jonggun ),허성구 ( Heo Sung Gu ),신용철 ( Shin Yongchul ),유동선 ( Yoo Dong Sun ),김기성 ( Kim Ki-sung ),최중대 ( Choi Joongdae ) 한국농공학회 2007 한국농공학회 학술대회초록집 Vol.2007 No.-
The Geographic Information System has been widely used in every aspect of our lives. Many attempts have been made using freely available Google Map API, which provides various GIS and other functionalities with high-resolution satellite images all over the world. These high resolution data by the Google Map is very efficient in locating target area of interest compared with vector dataset. Therefore, the Google Map was used to develop Web GIS interface in locating the gaging station in Korea. The Web-based Hydrograph Analysis Tool (WHAT) was enhanced using the Google Map interface in this study. The Google Map interface was linked to the WAMIS web site for automatic retrieval of daily flow data for automatic baseflow separation Also, the Google Map WHAT interfaces were extended for 48 states in the US (http://www.EnvSys. co.kr/~what, http://cobweb.ecn.purdue.edu/~what/WHAT_GOOGLE). The biggest advantage of using the Google Map interface is that system developers do not need to install Web GIS system on the server, which is sometimes either expensive or heavy for the server. Also, numerous Google Map API can be integrated into the system with minor modifications, enabling very cost-effective Web GIS application. The easy-to-use Google Map interface WHAT system can be efficiently used in calibrating and validating hydrologic and water quality models. The Korea Department of Environment water quality data will be linked to the WHAT system for automatic analysis of water quality trends and pollutant loads characteristics.