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http://dx.doi.org/10.7848/ksgpc.2015.33.3.163

Potential Effects of Urban Growth under Urban Containment Policy on Streamflow in the Gyungan River Watershed, Korea  

Kim, Jinsoo (Dept. of Civil and Urban Engineering, Inje University)
Park, Soyoung (Dept. of Geography, University of California)
Publication Information
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography / v.33, no.3, 2015 , pp. 163-172 More about this Journal
Abstract
This study examined the potential effects of urban growth on streamflow in the Gyungan River watershed, Korea, using urban containment scenarios. First, two scenarios (conservation and development) were established, and SLEUTH model was adapted to predict urban growth into the year 2060 with 20 years interval under two scenarios in the study area. Urban growth was larger under scenario 2, focusing on development, than under scenario 1, focusing on conservation. Most urban growth was predicted to involve the conversion of farmland, forest, and grasslands to urban areas. Streamflow in future periods under these scenarios was simulated by the Soil and Water Assessment Tool (SWAT) model. Each scenario showed distinct seasonal variations in streamflow. Although urban growth had a small effect on streamflow, urban growth may heighten the problems of increased seasonal variability in streamflow caused by other factor, such as climate change. This results obtained in this study provide further insight into the availability of future water resource and can aid in urban containment planning to mitigate the negative effects of urban growth in the study area.
Keywords
Urban Growth; Urban Containment Scenario; SLEUTH; Streamflow; SWAT; Climate Change;
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1 Dietzel, C. and Clarke, K.C. (2007), Toward optimal calibration of the SLEUTH land use change model, Transactions in GIS, Vol. 11, No. 1, pp. 29-45.   DOI
2 Dixon, B. and Earls, J. (2012), Effects of urbanization on streamflow using SWAT with real and simulated meteorological data, Applied Geography, Vol. 35, No. 1-2, pp. 174-190.   DOI   ScienceOn
3 Williams, J.R. (1975), Sediment-yield prediction with universal equation using runoff energy factor, Proceedings of the Sediment Yield Workshop: Present and Prospective Technology for Predicting Sediment Yield and Sources; 1972 Nov 28-30; USDA Sedimentation Lab. Oxford, pp. 244-252.
4 Qi, S., Sun, G., Wang, Y., McNulty, S.G., and Moore Myers, J.A. (2009), Streamflow response to climate and landuse changes in a coastal watershed in North Carolina, Transactions of the ASABE, Vol. 52, No. 3, pp. 739-749.   DOI
5 Silva, E.A. and Clarke, K.C. (2002), Calibration of the SLEUTH urban growth model for Lisbon and Porto, Portugal, Computers, Environment and Urban Systems, Vol. 26, No. 6, pp. 525 -552.   DOI   ScienceOn
6 Jeon, S., Park, Y., Hong, H., Choi, H., and Kang, S. (2013), Sustainable Management of Green Belt by Changing Land Environment Management, Korea Environmental Institute (KEI), Climate Change Policy Research 2013-08.
7 White, M.D. and Greer, K.A. (2006), The effects of watershed urbanization on the stream hydrology and riparian vegetation of Los Peñasquitos Greek, California, Landscape and Urban Planning, Vol. 74, pp. 125-138.   DOI   ScienceOn
8 Wu, X., Hu, Y., He, H.S., Bu, R., Onsted, J., and Xi, F. (2009), Performance evaluation of the SLEUTH model in the Shenyang metropolitan area of northeastern China, Environmental Modeling and Assessment, Vol. 14, No. 2, pp. 221-230.   DOI
9 Yokohari, M., Takeuchi, K., Watanabe, T., and Yokota, S. (2008), Beyond greenbelts and zoning: a new planning concept for the environment of asian mega–cities, Landscape and Urban Planning, Vol. 47, No. 3, pp. 159-171.   DOI
10 Dong, C., Huang, G., Tan, Q., and Cai, Y. (2014), Coupled planning of water resources and agricultural landuse based on an inexact-stochastic programming model, Frontiers of Earth Science, Vol. 8, No. 1, pp. 70-80.   DOI
11 Flügel, W. (1995), Delineating hydrological response units by geographical information system analyses for regional hydrological modeling using PRMS/MMS in the drainage basin of the River Bröl, Germany, Hydrological Process, Vol. 9, pp. 423-436.   DOI   ScienceOn
12 Guo, H., Hu, Q., and Jiang, T. (2008), Annual and seasonal streamflow responses to climate and land-cover changes in the Poyang Lake Basin, China, Journal of Hydrology, Vol. 355, pp. 106-122.   DOI   ScienceOn
13 Nash, J.E. and Sutcliffe, J.V. (1970), Review flow forecasting through conceptual models I : a discussion of principles, Journal of Hydrology, Vol. 10, pp. 282-290.   DOI   ScienceOn
14 Jeon, S., Song, W., Lee, M., and Kang, B. (2010), Improvement of the environmental conservation value assessment map (ECVAM) by complement of the vegetation community stability item, Journal of the Korea Society of Environmental Restoration Technology, Vol. 13, No. 2, pp. 114-123. (in Korean with English abstract)
15 Kim, J., Choi, J., Choi, C., and Park, S. (2013), Impacts of changes in climate and land use/land cover under IPCC RCP scenarios on streamflow in the Hoeya River Basin, Korea, Science of the Total Environment, Vol. 452-453, pp. 181-195.   DOI   ScienceOn
16 Clarke, K.C., Hoppen, S., and Gaydos, L. (1997), A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area, Environmental and Planning B: Planning and Design, Vol. 24, pp. 247-261.   DOI   ScienceOn
17 Paul, M.J. and Meyer, J.L. (2001), Streams in the urban landscape, Annual Review Ecology, Evolution, and Systematics, Vol. 32, pp. 333-365.   DOI
18 Arnold, J.G., Srinivasan, R., Muttiah, R.S., and Williams, J.R. (1998), Large area hydrologic modeling and assessment - part 1: model development, Journal of the American Water Resources Association, Vol. 34, pp. 73-89.   DOI   ScienceOn
19 Dietzel, C. and Clarke, K.C. (2004), Replication of spatio-temporal land use patterns at three levels of aggregation by an urban cellular automata, Lecture Notes in Computer Science, Vol. 3304, pp. 523-532.