Employing DPSIR Conceptualization and PP Clustering Algorithm to Predict Water Resources Carrying Capacity of River Basins in Fujian, China, in 2020

Abstract:

Water resources carrying capacity (WRCC) is very significant to the sustainable developing of society and ecosystem. The main goal of this paper was to predict WRCC of river basins in Fujian province, using index-set method, to provide a adjuvant reference for the planning department while making decisions. Under the guidance of DPSIR framework, 20 indices in total were selected, which can reflect the inherent attributes of WRCC. PP Clustering (PPC) model coupled with generic algorithm was applied to compute WRCC ranking. This model can automatically identify the contribution of every factor to the evaluating objective, as to avoid the subjectivity during the process of index weights. The predictive result shows WRCC of the southeastern area of Fujian is in relative better state of water resources utilization. Special attention needs to be paid to optimum allocation for water resources in the upper reaches area of Minjiang River basin and northeastern area.

• Periodical: Advanced Materials Research (Volumes 610-613)
• Pages: 2663-2670
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.610-613.2663
• Online since: December 2012
• Authors: Cheng Hu, Gang Chen, Xiao Hua Lu
• Keywords: DPSIR, PPC, WRCC

References

[1] Xia Jun. Measurement of water resources safety: research and challenge of water resources bearing capacity (1) [J]. Haihe Water Resources, Vol. 2(2002) , pp.5-7.

[2] Xia Jun. Measurement of water resources safety: research and challenge of water resources bearing capacity (2) [J]. Haihe Water Resources, Vol. 3 (2002), pp.3-7.

[3] K. L. Liu, Y. T. Wang, S. Y. Hu, et al. Application of Fisher optimal dissection method to flood season division[J]. Advances in Science and Technology of Water Resources, Vol. 27(3), 2007, pp.14-16.

[4] Jing lin yan. Study on the Account Computation and the Comprehensive Evaluation of Regional Water Resources Carrying Capacity[D]. HeFei University of Technology( 2007).

[5] Li Bin-yong, Shi zheng-tao, Dong Ming. Water Resources Development Research [J]. Water Resouces Development Research, Vol. 1(2007) , pp.36-39.

[6] Zhu Yi zhong, Xia Jun, Tan Ge. A Primary Study on the Theories and Process of Water Resources Carrying Capacity [J]. Advances in Geography, Vol. 21(2), 2002, pp.180-188.

[7] GAO Bo, WANG Lifang , ZHUANG Yu. Application of DPSIR Framework in the Evaluation of Sustainable Water Use in Northwest China [J]. Environment of Sichuan. Vol. 26(1), 2007, pp.33-35

[8] Hu Jimin, Dalian University of Technology , Study on Evaluation of Water Resources Carrying Capacity in Coastal Regions [D], Dalian University of Technology( 2008).

[9] Cao Hong-jun. An Initial Study on DPSIR Model [J]. Environmental Science & Technology. Vol. 28(6), 2005, pp.110-111.

[10] Gerven T. Van, Block C., Geens J., et al. Environmental response indicators for the industrial and energy sector in Flanders［J］. Journalof Cleaner Production, Vol. 15(10), 2007, pp.886-894.

DOI: 10.1016/j.jclepro.2006.01.016

[11] Kruscal, J. B. Linear transformation of multivariate date to reveal clustering, in Multidimensional Scaling: Theory and Application in the Behavioral Science, Vol. I, Theory. New York and London, Seminar Press(1972).

[12] Kruscal J. B. Toward a practical method which helps uncover the structure of a set of multivariate observations by finding the linear transformation which optimizes a new index of condensation, in Statistical Computer, ed. R. C. Milton and J. A. Nelder, New York, Academic Press(1969).

DOI: 10.1016/b978-0-12-498150-8.50024-0

[13] Cheng Ping, Li Gupying. PROJECTION PURSUIT——A CLASS OF NEW STATISTICAL METHODS [J]. Applied probability statistics. Vol. 2(3), 1986, pp.267-276.

[14] Huber P. J. Projection Pursuit (with discussions). The Annals of Statistics, Vol. 13(2), 1985, pp.435-475.

[15] Jin Ju-liang, Deng Chao-xian, Wang Yin-tang, Projection Pursuit Clustering Model for Reservoir Flood Season Division [C]. Chinese Control and Decision Conference( 2009). pp.2258-2262.

DOI: 10.1109/ccdc.2009.5192681

[16] Qun Zhang, Xiujuan Lei, Xu Huang and et al. An Improved Projection Pursuit Clustering Model and its Application Based on Quantum-behaved PSO [C], Sixth International Conference on Natural Computation( 2010), pp.2581-2585.

DOI: 10.1109/icnc.2010.5583182