Advanced SearchSearch Tips
Analysis of Watershed Hydrologic Responses using Hydrologic Index
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Analysis of Watershed Hydrologic Responses using Hydrologic Index
Park, Yoonkyung; Kim, Sangdan;
  PDF(new window)
Hydrologic responses in watershed are determined by complex interactions among climate, land use, soil and vegetation. In order to effectively investigate hydrologic response in watershed, one needs to analyze the characteristics of climate as well as other factors. In this study, the relative contribution of climate factors and watershed characteristics on hydrologic response is investigated by using hydrologic indexes such as the aridity index and the Horton index. From preliminary analysis, it is shown that the Horton index is proper in terms of classifying hydrologic responses in main natural watersheds of south Korea. While climate and watershed characteristics both contributes to hydrologic responses, the degree contributed from each factor is changed depending on annual climatic humid conditions. In dry conditions, the climate factor is the predominant influence on hydrologic responses. However, in wet conditions, the contribution of watershed characteristics on hydrologic responses is relatively increased.
Aridity index;Climate;Horton index;Hydrologic response;Watershed characteristics;
 Cited by
Budyko, M. I. (1974). "Climate and life." Academic. San Diego. Calif, p. 508.

Choi, D. and Kim, S. (2010). "Revisiting horton index using a conceptual soil water balance model." Journal of the Korean Society of Civil Engineering, Korean Society of Civil Engineering, Vol. 30, No. 5B, pp. 471-477 (in Korean).

Choi, D., Choi, M., Ahn, J., Park, M. J. and Kim, S. (2011). "Variability of hydrologic partitioning revisiting horton index." Journal of Korean Wetlands Society, Korean Wetlands Society, Vol. 13, No. 1, pp. 35-44 (in Korean).

Chow, W. T., Maidment, D. R. and Mays, L. W. (1988). Applied hydrology, McGraw-Hill, Book Company, New York, USA.

Farmer, D., Sivapalan, M. and Jothityangkoon, C. (2003). "Climate, soil and vegetation controls upon the variability of water balance in temperate and semi-arid landscapes: Downward Approach to Hydrological Prediction." Water Resource Research, Vol. 39, No. 1035, DOI:10.1029/2001WR000328. crossref(new window)

Horton, R. E. (1933). "The role of infiltration in the hydrologic cycle." American Geophysical Union, Vol. 14, pp. 446-460. crossref(new window)

Knapp, A. K. and Smith, M. D. (2001). "Variation among biomass in temporal dynamics of aboveground net primary production." Science, Vol. 291, pp. 481-484. crossref(new window)

Kim, S. D., Lee, A. Y., Lee, J. W. and Kim, T. W. (2011). "Spatiotemporal analysis of future extreme drought events using a conceptual soil water model." Journal of Korean Society of Hazard Mitigation, Korean Society of Hazard Mitigation, Vol. 11, No. 6, pp. 349-356 (in Korean). crossref(new window)

Lee, J. S. (2006). Hydrology, Goomibook (in Korean).

Lyne, V. and Hollick, M. (1979). "Stochastic time-variable rainfallrunoff modelling." Paper presented at Hydrology and Water Resources Symposium, Institution of Engineers Australia, Perth.

Milly, P. C. (1994). "Climate, soil water storage, and the average annual water balance." Water Resource Research, Vol. 30, No. 7, pp. 2143-2156. crossref(new window)

Milly, P. C. D., Wetherald, R. T., Dunne, K. A. and Delworth, T. L. (2008). "Climate change-Stationarity is dead: Whither Water Management?" Science, Vol. 319, No. 5863, pp. 573-574. crossref(new window)

Penman, H. L. (1948). "Natural evaporation from open water, bare soil and grass." Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences, Vol. 193, No. 1032, pp. 120-146. crossref(new window)

Rodriguez-Iturbe, I. and A. Porporato (2004). "Ecohydrology of water controlled ecosystems: Soil Moisture and Plant Dynamics." Cambridge Univ. Press, New York.

Sivapalan, M., Yaeger, M. A., Harman, C. J., Xu, X. and Troch, P. A. (2011). "Functional model of water balance variability at the catchment scale. 1: Evidence of Hydrologic Similarity and Space-Time Symmetry." Water Resources Research, Vol. 47, W02522, DOI:10.1029/2010WR009568. crossref(new window)

Troch, P. A., Martinez1, G. F., Pauwels, V. R. N., Durcik, M., Sivapalan, M., Harman, C., Brooks, P. D., Gupta, H. and Huxman, T. (2009). "Climate and vegetation water use efficiency at catchment scales." Hydrological Process, Vol. 23, pp. 2409-2414. crossref(new window)

Wagener, T., Sivapalan, M., Troch, P. A. and Woods, R. A. (2007). "Catchment classification and hydrologic similarity." Geography Compass, Vol. 1, No. 4, pp. 901-931, DOI:10.1111/j.1749-8198.2007.00039.x. crossref(new window)

Zhang, L., Hickel, K. Dawes, W. R., Chiew, F. H. S., Western, A. W. and Briggs, P. R. (2004). "A rational function approach for estimating mean annual evapotranspiration." Water Resources Researches, Vol. 40, W02502, DOI:10.1029/2003WR002710. crossref(new window)