DocumentCode :
2182000
Title :
The Complexity Measure of Groundwater Depth Series in Sanjiang Plain Based on Approximate Entropy
Author :
Liu Dong ; Li Tianxiao ; Fu Qiang
Author_Institution :
Postdoctoral Sci. Res. Mobile Station of Agric. & Forestry Economic Manage., Northeast Agric. Univ., Harbin, China
fYear :
2009
fDate :
20-22 Sept. 2009
Firstpage :
1
Lastpage :
4
Abstract :
Influenced by high-strength agricultural activities, climate and so on, the system of groundwater resources has gained more characters of complex system in Sanjiang Plain. Take Jiansanjiang Bureau for example, the approximate entropy is adopted to analyze the complexity of groundwater depth series in 7 production teams. The results show the complexity order from big to small as follows: 4th production team of Qianjin Farm, 69th production team of Qixing Farm, 22th production team of Qianjin Farm, 1th production team of 859 Farm, 26th production team of 859 Farm, 11th production team of Qianjin Farm, 21th production team of 859 Farm. We can see that the groundwater exploitation is the key factor in groundwater dynamic variation. The results reveal the essence of complex dynamic system, providing a basis for decision-making in managing groundwater resources scientifically in Jiansanjiang Bureau and even the Sanjiang Plain.
Keywords :
decision making; groundwater; water resources; China; Jiansanjiang Bureau; Qianjin Farm; Sanjiang Plain; agricultural activities; approximate entropy; climate; decision-making; groundwater depth series; groundwater exploitation; groundwater resources management; Agriculture; Decision making; Entropy; Forestry; Gain measurement; Irrigation; Production; Resource management; Water conservation; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science, 2009. MASS '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4638-4
Electronic_ISBN :
978-1-4244-4639-1
Type :
conf
DOI :
10.1109/ICMSS.2009.5305075
Filename :
5305075
Link To Document :
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