ul 2004 
—— 
  
  
rmation 
'rvation 
iumbers 
ers and 
of soil 
fication 
il layer 
rid cell 
h value. 
National 
  
  
yy using 
daily 85 
  
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vus 
rot 
B 
Runoff depth (mm) 
  
20 Kilometers 
  
  
  
Figure 4 Runoff depth distribution 1987 (mm) 
5. CONCLUSION 
In this work, we showed that remote sensing satellite images are 
very useful to determine runoff distribution of the basin area 
with 30 m spatial resolution. There are several parameters 
effecting water level fluctuations such as climatic condition like 
rainfall and runoff. Water level of the Van Lake has been 
changed abruptly in recent years because of these parameters. 
Due to lack of the rainfall and runoff gauge station, it has not 
been able to understand hydrologic condition of Lake Van 
catchments. Thus, it has become inevitable to determine 
rainfall/runoff model by using remote sensing and GIS 
technologies. So, to achieve the obtaining runoff depth of the 
basin area, Soil Conservation Model was used. Curve number is 
a model coefficient, which was determined based on the factors 
based on land use/cover from classified landsat images and 
hydrological soil groups. 
6. REFERENCES 
Abdüsselam Altunkaynak, Mehmet Ozger, Zekai Sen, 2003. 
Triple diagram model of the level fluctuations in Lake Van, 
Turkey, Hydrology and Earth System Sciences, 7(2), pp.235- 
244, 
Anderson, J.R., Hardy, E.E., Roach, T. J., Whitmer, R.E., 1976. 
A land use and land cover classification system for use with 
remote sensor data, US Geol. Surv. Prof. Pap. 964, US Gov. 
Print. Office, Washington. DC. 
Assefa M. Melesse, S.F. Shih, 2002. Spatially distributed storm 
runoff depth estimation using Landsat images and GIS, 
Computers and Electronics in Agriculture 37, pp.173-183. 
Qihao Weng, 2001. Modelling urban growth effects on surface 
runoff with the integration of remote sensing and GIS, 
Environmental Management, 28(6), pp.737-748. 
271 
M.Kadioglu, Z. Sen and E. Batur, 1997. The greatest soda- 
water lake in the world and how it is influenced by climatic 
change, Annales Geophysicae, pp.09 
T.R. Nayak, R.K. Jaiswal, 2003. Rainfall-runoff modeling using 
satellite data and GIS for bebas river in Madhya Pradesh, The 
Institution of Engineers, 84, pp.47-50. 
Tou, J. T. and R. C. Gonzalez. (1974). Pattern recognition 
Principles. Reading, Massachusetts: Addison-Wesley 
Publishing Company. 
USDA, Soil Conservation Service, 1972. Hydrology. In: 
National Engineering Handbook, Section 4, US Govt. Printing 
office, Washington DC. 
Weber, M., R and Dunno, G. A., (2001).Riparian vegation 
mapping and image processing techniques ,Hopi Indian 
Reservation, Arizona , Photogrammetric Engineering and 
Remote sensing. 67(2), pp.179-186