The analysis of drainage paths in Chao Phraya river basin by graph theory

ผู้วิจัย

Nitinan Mata, Sangdaow Noppitak, Panida Lorwongtrakool, Sirorat Kulwong

บทคัดย่อ

Flood is one of the natural hazards and it is critical to be controlled through proper management. Severe flood events in Thailand (2011) caused damage to both life and property. Moreover, heavy flood or drought affected life, existence and the country’s economy. Therefore flood control is important. This study proposes methodology for analyzing drainage paths in Chao Phraya river basin by graph theory and simulation connection between floodgate and water gauging stations to find out capability of stations. After that capability and efficiency of station were compared to determine which stations can receive water more than maximum performance and to find out solutions for stations.

บรรณานุกรม

[1] S. Rozalis, E. Morin, Y. Yair, and C. Price, "Flash flood prediction using an uncalibrated hydrological model and radar rainfall data in a Mediterranean watershed under changing hydrological conditions," Journal of hydrology, vol. 394, pp. 245-255, 2010. [2] Y. Ding and S. S. Wang, "Optimal control of flood diversion in an open channel and a channel network," in Proceeding of the 7th international conference on hydroscience and engineering, Sept, 2006, pp. 10-13. [3] Y. Ding and S. S. Wang, "Optimal control of open-channel flow using adjoint sensitivity analysis," Journal of Hydraulic Engineering, vol. 132, pp. 1215-1228, 2006. [4] J. W. Nicklow and L. W. Mays, "Optimization of multiple reservoir networks for sedimentation control," Journal of hydraulic engineering, vol. 126, pp. 232-242, 2000. [5] M. Piasecki and N. D. Katopodes, "Control of contaminant releases in rivers. I: Adjoint sensitivity analysis," Journal of hydraulic engineering, vol. 123, pp. 486-492, 1997. [6] J. A. Bondy and U. S. R. Murty, Graph theory with applications vol. 290: Macmillan London, 1976. [7] R. Albert and A.-L. Barabási, "Statistical mechanics of complex networks," Reviews of modern physics, vol. 74, p. 47, 2002. [8] W. Wei, Z. Hai-bo, and W. Dao-xi, "Study of flood prediction based on multi-evidential fusion model," Water Power, vol. 12, p. 007, 2005. [9] D. P. Solomatine and Y. Xue, "M5 model trees and neural networks: application to flood forecasting in the upper reach of the Huai River in China," Journal of Hydrologic Engineering, vol. 9, pp. 491-501, 2004. [10] J.-C. Xie, T.-P. Wang, J.-L. Zhang, and Y. Shen, "A method of flood forecasting of chaotic radial basis function neural network," in Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on, 2010, pp. 1-5. [11] H. Ping, "Wavelet neural network based on BP algorithm and its application in flood forecasting," in Granular Computing, 2009, GRC'09. IEEE International Conference on, 2009, pp. 251-253. [12] Q. Yang, J. Shao, M. Scholz, and C. Plant, "Feature selection methods for characterizing and classifying adaptive Sustainable Flood Retention Basins," Water research, vol. 45, pp. 993-1004, 2011. [13] W. Zhou, H. M. Thoresen, and B. Glemmstad, "Application of Kalman filter based nonlinear MPC for flood gate control of hydropower plant," in Power and Energy Society General Meeting, 2012 IEEE, 2012, pp. 1-4. [14] Y. Ding and S. S. Wang, "Optimal control of flood diversion in watershed using nonlinear optimization," Advances in Water Resources, vol. 44, pp. 30-48, 2012. [15] E. S. Minor and D. L. Urban, "Graph theory as a proxy for spatially explicit population models in conservation planning," Ecological Applications, vol. 17, pp. 1771-1782, 2007. [16] G. Kossinets and D. J. Watts, "Empirical analysis of an evolving social network," Science, vol. 311, pp. 88-90, 2006. [17] C. J. Melián and J. Bascompte, "Complex networks: two ways to be robust?," Ecology Letters, vol. 5, pp. 705-708, 2002. [18] U. Brandes, "A faster algorithm for betweenness centrality*," Journal of Mathematical Sociology, vol. 25, pp. 163-177, 2001. [19] V. Latora and M. Marchiori, "A measure of centrality based on network efficiency," New Journal of Physics, vol. 9, p. 188, 2007.

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