Study on game theory strategy of groundwater pollution control in big data
Study on game theory strategy of groundwater pollution control in big data
- Author(s): Li Zhi ; Liu Yanzhu ; Sun Yuxia
- DOI: 10.1049/cp.2015.0853
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- Author(s): Li Zhi ; Liu Yanzhu ; Sun Yuxia Source: Third International Conference on Cyberspace Technology (CCT 2015), 2015 page ()
- Conference: Third International Conference on Cyberspace Technology (CCT 2015)
- DOI: 10.1049/cp.2015.0853
- ISBN: 978-1-78561-089-9
- Location: Beijing, China
- Conference date: 17-18 Oct. 2015
- Format: PDF
China is a country of extreme lack of water resources. With the reform and opening up, at the same time of economic prosperity and development, the condition of groundwater pollution is becoming more and more serious. As important analytical tools, big data and differential game theory make more and more contributions to the analysis of groundwater pollution. In this paper, a groundwater pollution model has been built using big data and differential game theory. Using this model, we obtain the feedback Nash solution, and then we carry out the simulation and analysis with MATLAB.
Inspec keywords: environmental science computing; water pollution control; Big Data; data analysis; groundwater; game theory
Subjects: Data handling techniques; Game theory; Environmental science computing
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