Browse > Article

Evaluation of L-THIA WWW Dimet Runoff Estimation with AMC Adjustment  

Kim, Jonggun (Division of Agricutural Engineering, Kangwon University)
Park, Younshik (Division of Agricutural Engineering, Kangwon University)
Jeon, Ji-Hong (Department of Agricutural & Biological Engineering, Purdue University)
Engel, Bernard A. (Department of Agricutural & Biological Engineering, Purdue University)
Ahn, Jaehun (National Institute of Highland Agriculture, Rural Development Administration)
Park, Young Kon (Korea Railroad Research Institute)
Kim, Ki-sung (Division of Agricutural Engineering, Kangwon University)
Choi, Joongdae (Division of Agricutural Engineering, Kangwon University)
Lim, Kyoung Jae (Division of Agricutural Engineering, Kangwon University)
Publication Information
Abstract
With population growth, industrialization, and urbanization within the watershed, the hydrologic response changed dramatically, resulting in increases in peak flow with lesser time to peak and total runoff with shortened time of concentration. Infiltration is directly affected by initial soil moisture condition, which is a key element to determine runoff. Influence of the initial soil moisture condition on hydrograph analysis should be evaluated to assess land use change impacts on runoff and non-point source pollution characteristics. The Long-Term Hydrologic Impact Assessment (L-THIA) model has been widely used for the estimation of the direct runoff worldwide. The L-THIA model was applied to the Little Eagle Creek (LEC) watershed and Its estimated direct runoff values were compared with the BFLOW filtered direct runoff values by other researchers. The $R^2$ value Was 0.68 and the Nash-Sutcliffe coefficient value was 0.64. Also, the L-THIA estimates were compared with those separated using optimized $BFI_{max}$ value for the Eckhardt filter. The $R^2$ value and the Nash-Sutcliffe coefficient value were 0.66 and 0.63, respectively. Although these higher statistics could indicate that the L-THIA model is good in estimating the direct runoff reasonably well, the Antecedent Moisture Condition (AMC) was not adjusted in that study, which might be responsible for mismatches in peak flow between the L-THIA estimated and the measured peak values. In this study, the L-THIA model was run with AMC adjustment for direct runoff estimation. The $R^2$ value was 0.80 and the Nash-Sutcliffe coefficient value was 0.78 for the comparison of L-THIA simulated direct runoff with the filtered direct runoff. However there was 42.44% differences in the L-THIA estimated direct runoff and filtered direct runoff. This can be explained in that about 80% of the simulation period is classified as 'AMC I' condition, which caused lower CN values and lower direct runoff estimation. Thus, the coefficients of the equation to adjust CN II to CN I and CN III depending on AMC condition were modified to minimize adjustments impacts on runoff estimation. The $R^2$ and the Nash-Sutcliffe coefficient values increase, 0.80 and 0.80 respectively. The difference in the estimated and filtered direct runoff decreased from 42.44% to 7.99%. The results obtained in this study indicate the AMC needs to be considered for accurate direct runoff estimation using the L-THIA model. Also, more researches are needed for realistic adjustment of the AMC in the L-THIA model.
Keywords
Antecedent Moisture Condition (AMC); Baseflow separasion; Curve number; Long-Term hydrologic impact assessment (L-THIA); Web-based hydrograph analysis tool (WHAT);
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 임경재, 김종건, 김기성, 최중대, 신용철, Web GIS기반의 WHAT 시스템을 이용한 직접유출 모의 정확성 평가, 한국정보학술발표대회, pp. 12-13 (2006)
2 Leroy, J. D., Modeling Lake Level Variations Using L-THIA in the Lake Maxinkuckee Watershed. M.S. Thesis, Department of Agricultural and Biological Engineering. Purdue University, West Lafayette, Indiana (2004)
3 Grove, M., Harbor, J., Engel, B. A. and Muthukrinan, S., Impacts of Urbanization on Surface Hydrology. Little Eagle Creek, Indiana, and Analysis of L-TRIA Model Sensitivity to Data Resolution, Physical Geography, 22, pp. 135-153 (2001)
4 Lim, K. J., Engel, B. A., Tang, Z., Choi, J., Kim, K., Muthukrishnan, S. and Tripathy, D., Automated Web GISbased Hydrograph Analysis Tool, WHAT, Journal of the American Water Recourse Association, 41(6), pp. 1407-1416 (2005a)   DOI   ScienceOn
5 Lim, K. J, Engel, B. A., Tang, Z., Muthukrishnan, S., Choi, J. and Kim, K., Effects of calibration on L-TRIA GIS runoff and pollutant estimation, Journal of Environmental Management, 78, pp. 35-43 (2005b)   DOI   ScienceOn
6 Eckhardt, K., How to Construct Recursive Digital Filters for Basetlow Separation, Hydrological Processes, 19(2), pp. 507-515 (2005)   DOI   ScienceOn
7 Kim, Y., Engel, B. A., Lim, K. J., Larson, V. and Duncan, B., Runoff Impacts of Land-Use Change in Indian River Lagoon Watershed, Journal of Hydrologic Engineering, 7(3), pp. 245-251 (2002)   DOI   ScienceOn
8 Lim, K. J. and Engel, B. A., Development of Daily/Yearly L-TRIA WWW System (http://pasture.ecn.purdue.edu/-sprawl/LTHIA-COMPDAILY and http://pasture.ecn.purdue.edu/ -sprawl/LTHIAYEARLY), Agricultural and Biological Engineering Department Report, Purdue University (1999)
9 Sloto, R. A. and Crouse, M. Y., HYSEP: A computer program for streamtlow hydrograph separation and analysis. US Geol. Survey Water Resources Investigations Report 96-4040 (1996)
10 Arnold, J. G. and Allen, P. M., Validation of Automated Methods for Estimating Basetlow and Groundwater Recharge From Stream Flow Records, Journal of American Water Resources Association, 35(2), pp. 411-424 (1999)   DOI   ScienceOn
11 Lyne, Y. D. and Hollick, M., Stochastic Time-Variable RainfallRunoff modeling, In: Hydro. and Water Resour. Symp, Institution of Engineers Australia, Perth, Australia, pp. 89-92 (1979)