효과적인 유역관리를 위한 CN기법 기반의 침투량 산정 및 기저유출량 분석 = Estimation of CN-based Infiltration and Baseflow for Effective Watershed Management

다국어 초록 (Multilingual Abstract)

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.

참고문헌 (Reference)

1 김만일, "지하수위 변 동곡선 및 물수지분석 기법을 적용한 소유역 지하수 함 양량 산정에 관한 연구" 350-354, 2006

2 조을생, "지역단위 하수재이용 활성화를 위한 기초연구" 한국환경정책평가연구원 2009 (2009): 1-61, 2009

3 박찬제, "유역물수지 분석에 의한 지하수 함양량 추정" 한국농공학회 265-268, 2002

4 이재수, "수문학" 구미서관 2009

5 임경재, "수문모델의 정확성 평가를 위한 Web GIS 기반 의 수문분석 툴, WHAT의 소개" 13 (13): 303-309, 2006

6 김종건, "선행토양함수조건(AMC)을 고려한 L-THIA WWW 직접유출 모의 정확성 평가" 한국물환경학회 23 (23): 474-481, 2007

7 이승종, "도림천 유역을 위한 침투증진시설의 효과분석" 한국수자원학회 1-5, 2005

8 김종건, "경사도에 따른 CN보정에 의한 L-THIA 직접유출 모의 영향 평가" 한국물환경학회 23 (23): 897-905, 2007

9 배상근, "NRCS-CN방법과 기저유출 분리법을 이용한 지하수함양률 산정" 한국환경과학회 15 (15): 253-260, 2006

10 Kim,T.C, "Manual of the DAWAST model. Institute of Agricultural Science" 1992

11 Ma,Y.S, "L-THIA: Useful hydrologic impact assessment model" 2 (2): 68-73, 2004

12 최병용, "L-THIA 모형을 이용한 한강 상류 유역의 유출 량 평가" 강원대학교대학원 2001

13 NRCS, "Hydrology SCS National Engineering Handbook Section 4"

14 Eckhardt,K, "How to construct recursive digital filters for baseflow separation" 19 (19): 507-515, 2005

15 Lim, K. J, "Effects of calibration on L-THIA GIS runoff and pollutant estimation" 78 : 1-9, 2005

16 Lim, K. J, "Development of the long-term hydrologic impact assessment (L-THIA) WWW system" Agricultural and Biological Engineering Department Report. 1999

17 Lim, K. J, "Automated web GIS based hydrograph analysis tool. WHAT" 41 (41): 1407-1416, 2005

18 Habor,J, "A practical method for estimating the impact of land-use change on surface runoff, groundwater recharge and wetland hydrology" 60 : 91-104, 1994