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http://dx.doi.org/10.7780/kjrs.2008.24.1.35

Analysis of Land Use Change Impact on Storm Runoff in Anseongcheon Watershed  

Park, Geun-Ae (Dept. of Rural Engineering, Konkuk University)
Jung, In-Kyun (Dept. of Civil and Environmental System Engineering, Konkuk University)
Lee, Mi-Seon (Dept. of Rural Engineering, Konkuk University)
Shin, Hyung-Jin (Dept. of Civil and Environmental System Engineering, Konkuk University)
Park, Jong-Yoon (Dept. of Civil and Environmental System Engineering, Konkuk University)
Kim, Seong-Joon (Dept. of Civil and Environmental System Engineering, Konkuk University)
Publication Information
Korean Journal of Remote Sensing / v.24, no.1, 2008 , pp. 35-43 More about this Journal
Abstract
The purpose of this study is to evaluate the hydrological impact due to temporal land cover change by gradual urbanization of upstream watershed of Pyeongtaek gauging station of Anseong-cheon. WMS HEC-1 was adopted, and OEM with 200 m resolution and hydrologic soil group from 1:50,000 scale soil map were prepared. Land covers of 1986, 1990, 1994 and 1999 Landsat TM images were classified by maximum likelihood method. The watershed showed a trend that forest & paddy areas decreased and urban/residential area gradually increased during the four selected years. The model was calibrated at 2 locations (Pyeonglaek and Gongdo) by comparing observed with simulated discharge results for 5 summer storm events from 1998 to 2001. The watershed average CN values varied from 61.7 to 62.3 for the 4 selected years. To identify the impact of streamflow by temporal area change of a target land use, a simple evaluation method that the CN values of areas except the target land use are unified as one representative CN value was suggested. By applying the method, watershed average CN value was affected in the order of paddy, forest and urban/residential, respectively.
Keywords
Land cover change; WMS HEC-1; CN;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Crist, E. P., 1985. A Thematic Mapper Tasseled Cap Equivalent for Reflectance Factor Data, Remote Sensing of Environment, 17: 301-306.   DOI   ScienceOn
2 Maidment D. and D. Djokic, 2000. Hydrologic and Hydraulic Modeling Support with Geographic Information Systems, ESRI, Inc., CA.
3 Nash J. E. and J. V. Sutcliffe, 1970. River flow forecasting through conceptual models: Part I- A discussion of principles. Journal of Hydrology, 10: 283-290.
4 Im, S. J. and S. W. Park, 1997. Estimation Runoff Curve Numbers for Paddy Fields. Journal of Korea Water Res. Assoc., 30(4): 379-387.
5 Refsgaard J. C., 1996. Terminology, Modeling Protocol and Classification of Hydrological Model Codes, In: Distributed Hydrological Modeling. M. B. Abbott and J. C. Refsgaard (Editors), Kluwer Academic Publishers, Netherlands, 17-39.
6 McClintock, K., J. Harbor, and T. Wilson, 1995. Assessing the Hydrologic Impact of Land Use Change in Wetland Watershed: A Case Study from Northern Ohio, USA, In Geomorphology and Land Management in a Changing Environment, McGregor D, Thompson D (eds). Wiley: New York, 107-119.
7 Watershed Modeling System, 1999. Brigham Young University Environmental Modeling Research Laboratory.
8 Choi, J. Y., B. A. Engel, S. Muthukrishnan and J. Harbor, 2003. GIS Based Long Term Hydrologic Impact Evaluation for Watershed Urbanization, Journal of American Water Resources Association, 39(3): 623-635.   DOI   ScienceOn