초록

논에서의 수문 특성을 현장 조사 및 측정하고, 강우-유출 자료로부터 논의 최대 잠재저류장의 확률적 특성을 분석하여, 선행강우조건에 따른 CN을 추정하였다. 추정된 CN은 AMC II의 경우 78이었으며, AMC-I, III의 경우에는 각각 63, 88이었다. 논의 강우-유출자료에 의한 CN은 년 홍수량 자료의 적용여부가 불확실하므로 이를 보완하고, 물고높이나 초기담수심의 영향을 구체적으로 규명하기 위하여 논의 물수지 모형을 구성하였다. 논의 유출량은 선행 강우뿐 아니라 초기담수심에 따라 변화하므로 최대 잠재저류량을 이용하여 CN을 결정하기에는 어려움이 따른다. 따라서, 최대 잠재저류량의 경우와 같이 담수심의 확룰분포함수를 이용하여 CN을 추정하였다. 물수지모형을 이용하여 확률담수심, 물고높이 및 기상자료로부터 논의 유출량을 추정하였다. 추정된 유출량으로부터 CN을 계산하고, 확률 담수심에 해당하는 CN-I, CN-II, CN-III을 결정하였으며, 그 값은 각각 70, 79, 89이었다.

Abstract

This study involves field monitoring of hydrlolgic characteristics of paddy fields under common irrigation practice, statistical analysis of maximum retention storage, determination of CNs for antecedent moisture conditions. Curve numbers were estimated from observed rainfall-runoff relationship of two years data. The estimated CN for AMC-II was 78, and the CNs for AMC-I and II were 63 and 88, respectively. A water balance model was used to find the effect of ridge height changes and initial ponding depth in paddy fields on runoff. The probability distribution of initial ponding depth was also investigated. The initial ponding depth follows normal probability distribution. Initial ponding depth corresponding 10%, 50%, and 90% probability were considered to be equivalent to AMC-I, AMC-II, and AMC-III, respectively. Long-term runoff data from paddy fields were simulated by a water balance model using recorded climate data, ridge height and estimated initial ponding depth derived from probability distribution. The estimated CNs using simulated runoff were 70, 79, and 89 for CN-I, CN-II, and CN-III, respectively.

저자의 다른 논문

참고문헌 (11)

1. 유효우량산정을 위한 곡선번호방법의 적용성 , 윤태훈 , 한국수문학회지 / v.24,pp.97-108, 1991
   원문보기 상세보기
2. 정하우;박승우 , 저수지 물관리 연구(Ⅲ) / v.,pp., 1987
   
3. Runoff curve numbers for the southern high plains , Hauser,V.L.;Jones,O.R. , Trans. ASAE / v.34,pp.142-148, 1991
   
4. Runoff probability, storm depth, and curve numbers , Hawkins,R.H.;Hjelmfelt,A.T.;Zevenbergen,A.W. , J. Irrg. and Drain. Engrg. / v.111,pp.330-340, 1985
   
5. Curve numbers as random variables , Hjelmfelt,A.T.;Kramer,L.A.;Burwell,R.E. , Rainfall-Runoff Relationship / v.,pp.365-370, 1982
   
6. Investigation of curve number procedure , Hjelmfelt,A.T. , J. Hydr. Div. / v.117,pp.725-737, 1991
   
7. Runoff curve number: Has it reached maturity? , Ponce,V.M.;Hawkins,R.H. , J. Hydro. Engrg. / v.1,pp.11-19, 1996
   
8. Past, present and future SCS runoff procedure , Rallison,R.E.;Miller,N. , Rainfall-Runoff Relationship / v.,pp.353-364, 1982
   
9. Runoff curve numbers for reclaimed surface mines in Pennsylvania , Ritter,J.B.;Gardner,T.W. , J. Irrg. and Drain. Engrg. / v.117,pp.656-666, 1991
   
10. Hydrology , SCS , National Engineering Handbook / v.,pp., 1972
    
11. Runoff curve numbers determined by three methods under conventional and conservation tillages , Yoo,K.H.;Yoon,K.S.;Soileau,J.M. , Trans. ASAE / v.36,pp.57-63, 1993
    

이 논문을 인용한 문헌 (9)

1. 2001. "Return flow analysis of paddy field by water balance method" 한국농공학회지 = Journal of the Korean Society of Agricultural Engineers, 43(2): 59~68  원문보기 상세보기
2. Kim, Sang-Hyeon ; Kim, Geon-Mok 2001. "Simulation of Nitrogen Movement in the Rainfall Event at an Upland Agricultural Watershed" 韓國水資源學會論文集 = Journal of Korea Water Resources Association, 34(5): 521~532  원문보기 상세보기
3. 2001. "Nutrient Balance and Runoff Loading During Cropping Period from a Paddy Plot in Maryeong Irrigation District" 한국농공학회지 = Journal of the Korean Society of Agricultural Engineers, 43(5): 153~162  원문보기 상세보기
4. Shin, Sha-Chul ; Kwon, Gi-Ryang ; Kim, Seong-Joon 2002. "Land Cover Classification and Effective Rainfall Mapping using Landsat TM Data" 韓國水資源學會論文集 = Journal of Korea Water Resources Association, 35(4): 411~423  원문보기 상세보기
5. Kim, Seong-Joon ; Park, Geun-Ae ; Jung, In-Kyun ; Kwon, Hyung-Joong 2003. "Analysis of Hydrological Impact for Long-Term Land Cover Change Using the WMS HEC-1 Model in the Upstream Watershed of Pyeongtaek Gauging Station of Anseong-cheon" 韓國水資源學會論文集 = Journal of Korea Water Resources Association, 36(4): 609~621  원문보기 상세보기
6. Kim, Hong-Tae ; Shin, Hyun-Suk 2003. "A Study of Runoff Curve Number Estimation Using Land Cover Classified by Artificial Neural Networks" 韓國水資源學會論文集 = Journal of Korea Water Resources Association, 36(4): 633~645  원문보기 상세보기
7. Bae, Deg-Hyo ; Lee, Byong-Ju ; Jeong, Il-Won 2003. "Runoff Curve Number Estimation for Cover and Treatment Classification of Satellite Image(I): - CN Estimation -" 韓國水資源學會論文集 = Journal of Korea Water Resources Association, 36(6): 985~997  원문보기 상세보기
8. Oh, Kyoung-Doo ; Jun, Byong-Ho ; Yang, Gyoung-Gyu ; Ahn, Won-Sik ; Cho, Young-Ho 2005. "Curve Number for Urbanized Areas" 韓國水資源學會論文集 = Journal of Korea Water Resources Association, 38(12): 1009~1020  원문보기 상세보기
9. Oh, Kyoung-Doo ; Jun, Byong-Ho ; Han, Hyung-Geun ; Jung, Sung-Won ; Cho, Young-Ho ; Park, Soo-Yun 2005. "Curve Number for a Small Forested Mountainous Catchment" 韓國水資源學會論文集 = Journal of Korea Water Resources Association, 38(8): 605~616  원문보기 상세보기