Outlook Analysis of Future Discharge According to Land Cover Change Using CA-Markov Technique Based on GIS

In this study, the change of the discharge according to the land cover change which acts as one of dominant factors for the outlook of future discharge was analyzed using SWAT(Soil and Water Assessment Tool) model for Yongdam and Daecheong Dam Watershed in the Geum River Basin. The land cover maps generated by Landsat TM satellite images in the past 1990 and 1995 were used as observed data to simulate the land cover in 2000 by CA-Markov serial technique and after they were compared and verified, the changes of land cover in 2050 and 2100 in the future were simulated. The discharge before and after the change of land cover by using input data of SWAT model was compared and analyzed under the A1B scenario. As a result of analyzing the trend in the elapses of year on the land cover in the Geum River Basin, the forest and rice paddy class area steadily decreased while the urban, bare ground and grassland classes increased. As a result of analyzing the change of discharge considering the future change of the land cover, it appeared that the discharge considering the change of land cover increases by 1.83~2.87% on the whole compared to the discharge not considering the change of land cover.

[1]  H. Kwon,et al.  Outlook of Discharge for Daecheong and Yongdam Dam Watershed Using A1B Climate Change Scenario Based RCM and SWAT Model , 2011 .

[2]  Timothy W. Foresman,et al.  Development of the temporal transportation database for the analysis of urban development in the Baltimore-Washington region , 1996 .

[3]  J. Arnold,et al.  Suitability of SWAT for the Conservation Effects Assessment Project: Comparison on USDA Agricultural Research Service Watersheds , 2007 .

[4]  C. Yoo,et al.  Effects of Climate Change on the Streamflow for the Daechung Dam Watershed , 2004 .

[5]  Seong-Joon Kim,et al.  A Modified CA-Markov Technique for Prediction of Future Land Use Change , 2007 .

[6]  C. Mundia,et al.  Dynamics of landuse/cover changes and degradation of Nairobi City, Kenya , 2006 .

[7]  M. Turner.  Spatial simulation of landscape changes in Georgia: A comparison of 3 transition models , 1987, Landscape Ecology.

[8]  Analysis of Hydrological Impact Using Climate Change Scenarios and the CA-Markov Technique on Soyanggang-dam Watershed , 2006 .

[9]  Seongjoon Kim,et al.  The Effect of Spatial Scale and Resolution in the Prediction of Future Land Use using CA-Markov Technique* , 2007 .

[10]  D. Bae,et al.  Outlook on Variation of Water Resources in Korea under SRES A2 Scenario , 2007 .

[11]  Vincent R. Gray.  Climate Change 2007: The Physical Science Basis Summary for Policymakers , 2007 .

[12]  Saet-Byul Kim,et al.  Projection of Future Snowfall by Using Climate Change Scenarios , 2011 .

[13]  John R. Williams,et al.  LARGE AREA HYDROLOGIC MODELING AND ASSESSMENT PART I: MODEL DEVELOPMENT 1 , 1998 .

[14]  A. Alshawabkeh,et al.  Semianalytical Time Integration for Transient Groundwater Flow in Confined Aquifers , 2007 .