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Advances in Earth Science  2012, Vol. 27 Issue (9): 1006-1013    DOI: 10.11867/j.issn.1001-8166.2012.09.1006
Regression Kriging Model-based Sampling Optimization Design for the Eco-hydrology Wireless Sensor Network
Ge Yong1, Wang Jianghao1,3, Wang Jinfeng1, Jin Rui2, Hu Maogui1
1.State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China;2.Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences,Lanzhou 730000, China; 3.Graduate University of Chinese Academy of Sciences, Beijing 100049, China
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The Babao River Basin is the upstream region of the Heihe River which is the second largest inland river basin in the arid regions of northwest China. To monitor the characteristics of space-time of the eco-hydrological processes in the Babao River Basin, this paper discussed a regression kriging modelbased sampling optimization method. Land surface temperature, as one of eco-hydrological variables in the Babao River Basin, has been exemplified. The experiment results demonstrate that this sampling optimization method can consider the relationship of target variable and environmental variables and the spatial autocorrelation of regression residuals to obtain the optimization design in the geographic space and attribute space simultaneously. The optimized WSN is more efficient to capture the temporal and spatial variations of the eco-hydrological variables for monitoring the eco-hydrology process in the Babao River Basin.

Key words:  Babao River Basin      Sampling optimization      Regression Kriging      Wireless sensor network.     
Received:  18 May 2012      Published:  10 September 2012
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Ge Yong
Wang Jianghao
Wang Jinfeng
Jin Rui
Hu Maogui

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Ge Yong, Wang Jianghao, Wang Jinfeng, Jin Rui, Hu Maogui. Regression Kriging Model-based Sampling Optimization Design for the Eco-hydrology Wireless Sensor Network. Advances in Earth Science, 2012, 27(9): 1006-1013.

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