An Analysis of Temporal and Spatial Distribution Characteristics of Water Resources in Guangdong Province, China

Abstract:

In view of the difficulty in giving a quantitative description of the degree of uneven distribution of water resources, this paper, based on a cloud model, explores the temporal and spatial distribution characteristics of water resources in some research areas in Guangdong Province by using quantitative methods. The results show that, firstly, cloud images of a cloud model make it possible to describe intuitively the characteristics of the temporal and spatial distribution of water resources and present the differences of these characteristics in different areas through numerical characteristic values. Secondly, there are the least amounts of water resources in western Guangdong and the most in the Pearl River Delta Area. Temporal allocation of water resources is difficult in the northern and eastern parts of this province while spatial allocation difficult in the eastern and western parts. Thirdly, there are more water resources, less non-uniformity in the temporal distribution, greater stability in terms of temporal and spatial distribution but greater non-uniformity in the spatial distribution of water resources in the downstream than upstream of the Pearl River in Guangdong Province. Fourthly, there is less non-uniformity in the spatial distribution than in the temporal distribution in northern Guangdong while stability of spatial distribution is worse than that of the temporal distribution in western Guangdong. In addition, there is less uniformity but greater stability in the spatial distribution than in the temporal distribution of water resources in each research area.

• Periodical: Applied Mechanics and Materials (Volumes 522-524)
• Pages: 895-901
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.522-524.895
• Online since: February 2014
• Authors: Qi Zhou*, Yong Pang
• Keywords: Cloud Model, Temporal and Spatial Distribution Characteristics, Water Resource

References

[1] G.E. Petts, M. A. Bickerton, C. Crawford, et al: Hydrological Processes. Vol. 13(3)(1999), p.497.

[2] N.M. Harris, A.M. Gurnell, D.M. Hannah, et al: Hydrological Processes. Vol. 14(16-17)( 2000), p.2831.

[3] D.M. Hannah, B. P.G. Smith and A.M. Gurnell, et al: Hydrological Processes. Vol. 14(2)( 2000), p.317.

[4] A.C. Disalvo, S.C. Hart: Environmental Management. Vol. 30(5)( 2002), p.678.

[5] M.J. Lilover, U. Lips and J. Laaneraru, et al: Aquatic Sciences. Vol. 60(3)(1998), p.253.

[6] H.B. Ling , H.L. Xu and J.Y. Fu, et al: Water Resources Management. Vol. 27(2) (2013), p.381.

[7] Y.Y. Zhang, S.F. Zhang, and J. Xia, et al: Environmental Earth Sciences. Vol. 68(4)(2013), p.973.

[8] T. Dai, D.G. Shao and X.F. Huang: Engineering Journal of Wuhan University. Vol. 40(5)( 2007), p.15 (in Chinese).

[9] J.G. Zhang, X.R. Liu: Advances in water science. Vol. 11(2)(2000), p.133(in Chinese).

[10] B. Sivakumar: Hydrological Sciences Journal. Vol. 45(2)( 2000), p.203.

[11] D.Y. Li, H.J. Meng and X.M. Shi: Journal of Computer Research and Development. Vol. 32(6)(1995), p.16(in Chinese).