DocumentCode :
2842564
Title :
The Runoff Dynamic Changes within the Year and the Influence Factors in Emuer River Basin
Author :
Li, Zongmei ; Li, Xiuzhen ; Hu, Yuanman ; Bing, Longfei
Author_Institution :
Inst. of Appl. Ecology, Chinese Acad. of Sci., Shenyang, China
fYear :
2009
fDate :
19-20 Dec. 2009
Firstpage :
1
Lastpage :
4
Abstract :
By the Excel, using the date of runoff in the year 2005 and 2006, the annual hydrological changes was analyzed in the Emuer River basin. The result showed that the maximum flow appeared rather at the beginning of the June than at the time when the maximum rainfall or the snow melting happened. The runoff was retardance when the snow began to melt. During the maximum rainfall periods, the maximum runoff did not appear because the evaporation was comparatively large and the plants needed more water. So the water of snow melting was important to the runoff in this basin. By correlation analysis and curve estimation of SPSS13.0, the result showed that there were significant relationship (p<0.01) between the runoff and temperature and evaporation. There was no significant relationship (p>0.05) between the runoff and rainfall, but the rainfall had impact on the runoff. Also we found that using the monthly mean runoff and the monthly mean rainfall to analysis the relationship of the runoff and rainfall was more reasonable than the daily data. The curve estimation showed that the runoff and rainfall had S relationship.
Keywords :
correlation methods; environmental science computing; hydrology; rain; rivers; snow; statistical analysis; Emuer River basin; Excel; SPSS13.0c urve estimation; correlation analysis; hydrological changes; snow melting; statistical analysis; Biological system modeling; Data processing; Environmental factors; Hydrology; Predictive models; Rivers; Snow; Statistical analysis; Temperature; Vegetation mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4994-1
Type :
conf
DOI :
10.1109/ICIECS.2009.5364866
Filename :
5364866
Link To Document :
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