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효과적인 유역관리를 위한 CN기법 기반의 침투량 산정 및 기저유출량 분석
김희원 ( Hee Won Kim ),신연주 ( Yeon Ju Sin ),최정헌 ( Jung Heon Choi ),강현우 ( Hyun Woo Kang ),류지철 ( Ji Chul Ryu ),임경재 ( Kyoung Jae Lim ) 한국물환경학회 2011 한국물환경학회지 Vol.27 No.4
Increased Non-permeable areas which have resulted from civilization reduce the volume of groundwater infiltration that is one of the important factors causing water shortage during a dry season. Thus, seeking the efficient method to analyze the volume of groundwater in accurate should be needed to solve water shortage problems. In this study, two different watersheds were selected and precipitation, soil group, and land use were surveyed in a particular year in order to figure out the accuracy of estimated infiltration recharge ratio compared to Web-based Hydrograph Analysis Tool (WHAT), The volume of groundwater was estimated considering Antecedent soil Moisture Condition (AMC) and Curve Number (CN) using Long Term Hydrologic Impact Assessment (L-TH1A) model. The results of this study showed that in the case of Kyoung-an watershed, the volume of both infiltration and baseflow seperated from WHAT was 46.99% in 2006 and 33.68% in 2007 each and in Do-am watershed the volume of both infiltration and baseflow was 33.48% in 2004 and 23.65% in 2005 respectively. L-TFIIA requires only simple data (i.e., land uses, soils, and precipitation) to simulate the accurate volume of groundwater. Therefore, with convenient way of L-TKIA, researchers can manage watershed more effectively than doing it with other models. L-THIA has limitations that it neglects the contributions of snowfall to precipitation. So, to estimate more accurate assessment of the long term hydrological impacts including groundwater with L-THIA, further researches about snowfall data in winter should be considered.
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.
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.
SWAT모형을 이용한 수량-수질-수생태 통합 모델링 기법
임경재 ( Kyoung Jae Lim ),이관재 ( Gwanjae Lee ),한정호 ( Jeongho Han ),이동준 ( Dongjun Lee ),이서로 ( Seoro Lee ),양동석 ( Dongseok Yang ),최유진 ( Yujin Choi ) 한국농공학회 2019 한국농공학회 학술대회초록집 Vol.2019 No.-
유역 관리를 위한 유량 및 수질 분석, 수질 개선을 위한 오염저감기법 평가 등 다양한 목적을 위하여 HSPF(Hydrological Simulation Program - Fortran), SWAT(Soil and Water Assessment Tool), APEX(Agricultural Policy/Environmental eXtender) 등dml 유역 단위 수문 및 수질 모형을 활용한 연구가 진행되고 있다. 이와 더불어 수문 및 수질 모의 정확도를 향상시키기 위하여 모형을 개선하고 새로운 모의 기술을 개발하는 연구도 지속적으로 진행되고 있다. 이러한 연구의 일환으로 본 연구에서는 국내 유역을 대상으로 유량 및 수질 모의 정확도를 향상시키기 위하여 SWAT 모형을 대상으로 국내 경작지 특성을 반영할 수 있도록 토양 관련 인자 추출 방법, 토양유실량 산정 공식 등을 개선하여 수질 모의 정확도를 향상시켰다. 또한 유량 및 수질 모의 정확도를 높이기 위하여 국내 하천단면 특성을 반영하여 하천단면 산정 방법을 개선하였다. 그리고 이렇게 개선된 SWAT 모형을 통해 모의한 수심 및 유속 결과를 바탕으로 수생태 건강성 평가를 위해 사용되는 서식처 접합도 지수(Habitat Suitability Index, HSI)를 산정하여 수생태를 간접적으로 평가할 수 있는 수량-수질-수생태 통합 모델링 기법을 제시하였다.
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.