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Discrete Dynamics in Nature and Society
Volume 2017 (2017), Article ID 4293731, 18 pages
https://doi.org/10.1155/2017/4293731
Research Article

Spatial Interpolation of Annual Runoff in Ungauged Basins Based on the Improved Information Diffusion Model Using a Genetic Algorithm

1Research Center of Ocean Environment Numerical Simulation, Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing, China
2Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disaster, Nanjing University of Information Science & Technology, Nanjing 210044, China
3Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University, Nanjing 210093, China

Correspondence should be addressed to Ren Zhang; moc.anis@ener_nijam and Dong Wang; nc.ude.ujn@gnodgnaw

Received 21 November 2016; Accepted 31 January 2017; Published 14 March 2017

Academic Editor: Alicia Cordero

Copyright © 2017 Mei Hong et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Mei Hong, Ren Zhang, Dong Wang, Longxia Qian, and Zhenghua Hu, “Spatial Interpolation of Annual Runoff in Ungauged Basins Based on the Improved Information Diffusion Model Using a Genetic Algorithm,” Discrete Dynamics in Nature and Society, vol. 2017, Article ID 4293731, 18 pages, 2017. doi:10.1155/2017/4293731