Table of Contents Author Guidelines Submit a Manuscript
Advances in Meteorology
Volume 2016 (2016), Article ID 7082467, 10 pages
http://dx.doi.org/10.1155/2016/7082467
Research Article

Risk Assessment of Drought Based on IEAPP-IDM in Qujing, Yunnan Province, China

Menghua Deng,1,2,3 Junfei Chen,1,2,3 Guiyun Liu,1,2,3 and Huimin Wang1,2,3

1State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, China
2Institute of Management Science, Hohai University, Nanjing 210098, China
3National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, China

Received 2 October 2016; Accepted 12 December 2016

Academic Editor: Anthony R. Lupo

Copyright © 2016 Menghua Deng 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.

Linked References

  1. L. Liang, S.-H. Zhao, Z.-H. Qin et al., “Drought change trend using MODIS TVDI and its relationship with climate factors in China from 2001 to 2010,” Journal of Integrative Agriculture, vol. 13, no. 7, pp. 1501–1508, 2014. View at Publisher · View at Google Scholar · View at Scopus
  2. L. Cheng, J. Jin, J. Li, Z. Wang, L. Li, and X. Yuan, “Advance in the study of drought frequency analysis,” Advances in Water Science, vol. 24, no. 2, pp. 296–302, 2013. View at Google Scholar · View at Scopus
  3. J. H. Wan, J. Lyu, H. P. Liu, J. Liu, Z. Yang, and F. Chen, “Drought-flood variation characteristics and trends in arid Northwestern China during 1470-2008,” Advance in Water Science, vol. 25, no. 5, pp. 625–631, 2014 (Chinese). View at Google Scholar · View at Scopus
  4. State Flood Control and Drought Relief Headquarters and Ministry of Water Resources of China, Bulletin of Flood and Drought Disasters in China, China Water & Power Press, Beijing, China, 2014 (Chinese).
  5. Z. Chi, Z. Du, Z. Chen et al., “Analyses on meteorological elements and general circulation of drought in Guizhou Province in Autumn-Winter-Spring from 2009 to 2010,” Plateau Meteorology, vol. 31, no. 1, pp. 176–184, 2012. View at Google Scholar
  6. J. Yang, D. Gong, W. Wang, M. Hu, and R. Mao, “Extreme drought event of 2009/2010 over southwestern China,” Meteorology and Atmospheric Physics, vol. 115, no. 3-4, pp. 173–184, 2012. View at Publisher · View at Google Scholar · View at Scopus
  7. H. Yang, J. Song, H. M. Yan et al., “Cause of the severe drought in Yunnan Province during winter of 2009 to 2010,” Climatic and Environmental Research, vol. 17, no. 3, pp. 315–326, 2012 (Chinese). View at Google Scholar
  8. Y. B. Gong, J. G. Zhang, G. F. Liu et al., “Research on the drought characteristics in Qujing City base on the SPI and R/S analysis,” Agricultural Research in the Arid Areas, vol. 33, no. 3, pp. 273–277, 2015 (Chinese). View at Google Scholar
  9. S. Huang, J. Chang, G. Leng, and Q. Huang, “Integrated index for drought assessment based on variable fuzzy set theory: a case study in the Yellow River basin, China,” Journal of Hydrology, vol. 527, pp. 608–618, 2015. View at Publisher · View at Google Scholar · View at Scopus
  10. D.-D. Zhang, D.-H. Yan, F. Lu, Y.-C. Wang, and J. Feng, “Copula-based risk assessment of drought in Yunnan province, China,” Natural Hazards, vol. 75, no. 3, pp. 2199–2220, 2014. View at Publisher · View at Google Scholar · View at Scopus
  11. C. F. Huang, X. L. Liu, G. X. Zhou et al., “Agricultural natural disaster risk assessment method according to the historic disaster data,” Journal of Natural Disaster, vol. 7, no. 2, pp. 4–12, 1998 (Chinese). View at Google Scholar
  12. M. Rezaeianzadeh, A. Stein, and J. P. Cox, “Drought forecasting using Markov chain model and artificial neural networks,” Water Resources Management, vol. 30, no. 7, pp. 2245–2259, 2016. View at Publisher · View at Google Scholar
  13. K. Unami, F. K. Abagale, M. Yangyuoru, A. H. M. B. Alam, and G. Kranjac-Berisavljevic, “A stochastic differential equation model for assessing drought and flood risks,” Stochastic Environmental Research and Risk Assessment, vol. 24, no. 5, pp. 725–733, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. J. F. Chen and Y. Yang, “A fuzzy ANP-based approach to evaluate region agricultural drought risk,” Procedia Engineering, vol. 23, pp. 822–827, 2011. View at Google Scholar
  15. H. Jia and D. Pan, “Drought risk assessment in Yunnan province of China based on wavelet analysis,” Advances in Meteorology, vol. 2016, Article ID 1579415, 10 pages, 2016. View at Publisher · View at Google Scholar · View at Scopus
  16. L. Hao, X. Zhang, and S. Liu, “Risk assessment to China's agricultural drought disaster in county unit,” Natural Hazards, vol. 61, no. 2, pp. 785–801, 2012. View at Publisher · View at Google Scholar · View at Scopus
  17. Y. Yin, X. Zhang, D. Lin, H. Yu, J. Wang, and P. Shi, “GEPIC-V-R model: a GIS-based tool for regional crop drought risk assessment,” Agricultural Water Management, vol. 144, pp. 107–119, 2014. View at Publisher · View at Google Scholar · View at Scopus
  18. J. A. Quijano, M. A. Jaimes, M. A. Torres et al., “Event-based approach for probabilistic agricultural drought risk assessment under rainfed conditions,” Natural Hazards, vol. 76, no. 2, pp. 1297–1318, 2015. View at Publisher · View at Google Scholar · View at Scopus
  19. A.-A. Belal, H. R. El-Ramady, E. S. Mohamed, and A. M. Saleh, “Drought risk assessment using remote sensing and GIS techniques,” Arabian Journal of Geosciences, vol. 7, no. 1, pp. 35–53, 2014. View at Publisher · View at Google Scholar · View at Scopus
  20. D. Wu, D.-H. Yan, G.-Y. Yang, X.-G. Wang, W.-H. Xiao, and H.-T. Zhang, “Assessment on agricultural drought vulnerability in the Yellow River basin based on a fuzzy clustering iterative model,” Natural Hazards, vol. 67, no. 2, pp. 919–936, 2013. View at Publisher · View at Google Scholar · View at Scopus
  21. P. Han, P. X. Wang, S. Y. Zhang, and D. H. Zhu, “Drought forecasting based on the remote sensing data using ARIMA models,” Mathematical and Computer Modelling, vol. 51, no. 11-12, pp. 1398–1403, 2010. View at Publisher · View at Google Scholar · View at Scopus
  22. R. N. Sahoo, D. Dutta, M. Khanna, N. Kumar, and S. K. Bandyopadhyay, “Drought assessment in the Dhar and Mewat districts of India using meteorological, hydrological and remote-sensing derived indices,” Natural Hazards, vol. 77, no. 2, pp. 733–751, 2015. View at Publisher · View at Google Scholar · View at Scopus
  23. S. M. Vicente-Serrano, D. Cabello, M. Tomás-Burguera et al., “Drought variability and land degradation in semiarid regions: assessment using remote sensing data and drought indices (1982–2011),” Remote Sensing, vol. 7, no. 4, pp. 4391–4423, 2015. View at Publisher · View at Google Scholar · View at Scopus
  24. Z. Sun, J. Zhang, Q. Zhang, Y. Hu, D. Yan, and C. Wang, “Integrated risk zoning of drought and waterlogging disasters based on fuzzy comprehensive evaluation in Anhui Province, China,” Natural Hazards, vol. 71, no. 3, pp. 1639–1657, 2014. View at Publisher · View at Google Scholar · View at Scopus
  25. W. Pei, Q. Fu, D. Liu, T.-X. Li, and K. Cheng, “Assessing agricultural drought vulnerability in the Sanjiang Plain based on an improved projection pursuit model,” Natural Hazards, vol. 82, pp. 683–701, 2016. View at Publisher · View at Google Scholar · View at Scopus
  26. J. F. Chen, G. Y. Liu, and H. M. Wang, “Risk measurement of drought disaster during 2000–2009 in Huaihe River Basin, China,” Research Journal of Chemistry and Environment, vol. 16, no. s1, pp. 1–10, 2012. View at Google Scholar
  27. Q. Li, J. Zhou, D. Liu, G. Tang, and Q. Zou, “Disaster risk assessment based on variable fuzzy sets and improved information diffusion method,” Human and Ecological Risk Assessment, vol. 19, no. 4, pp. 857–872, 2013. View at Publisher · View at Google Scholar · View at Scopus
  28. D. Zhang, G. Wang, and H. Zhou, “Assessment on agricultural drought risk based on variable fuzzy sets model,” Chinese Geographical Science, vol. 21, no. 2, pp. 167–175, 2011. View at Publisher · View at Google Scholar · View at Scopus
  29. E. L. Guo, J. Q. Zhang, X. H. Ren, Q. Zhang, and Z. Sun, “Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, China,” Natural Hazards, vol. 74, no. 2, pp. 947–965, 2014. View at Publisher · View at Google Scholar · View at Scopus
  30. W. Ouyang, Y. Q. Yu, J. L. Jin et al., “Risk assessment model of drought disaster based on information diffusion and bootstrap: a case study in Anhui,” Journal of Catastrophology, vol. 30, no. 1, pp. 228–234, 2015 (Chinese). View at Google Scholar
  31. L. Wang and L. C. Jiao, “The immune evolutionary algorith,” in Proceedings of the 3rd International Conference on Knowledge-Based Intelligent Information Engineering Systems, pp. 99–102, Adelaide, Australia, September 1999.
  32. Z.-Y. Li, J.-Y. Wang, and H.-Z. Cheng, “Universal exponential formula for underground water assessment base on immune evolutionary algorithm,” Advances in Water Science, vol. 19, no. 5, pp. 707–713, 2008. View at Google Scholar · View at Scopus
  33. C. Guo, Z. Y. Li, and Y. Dang, “Runoff prediction application of BP neural network model based on immune evolutionary algorithm,” Water Resources Protection, vol. 25, no. 5, pp. 1–4, 2009 (Chinese). View at Google Scholar
  34. Q. Fu and X. Y. Zhao, Theory and Practice of PP Model, Science Press, Beijing, China, 2007 (Chinese).
  35. C. Zhang and S. Dong, “A new water quality assessment model based on projection pursuit technique,” Journal of Environmental Sciences, vol. 21, supplement 1, pp. S154–S157, 2009. View at Publisher · View at Google Scholar · View at Scopus
  36. C. J. Ni, J. Ding, and Z. Y. Li, “Immune evolutionary algorithm,” Journal of Southwest Jiaotong University, vol. 38, no. 1, pp. 87–91, 2003 (Chinese). View at Google Scholar
  37. J. D. Wang and C. F. Huang, “Information diffusion method relevant in fuzzy information processing and its application,” Journal of Northwest University, vol. 22, no. 4, pp. 383–392, 1992 (Chinese). View at Google Scholar
  38. S. He, J. D. Wang, H. Wang, and X. M. Han, “The evaluation of loess slope stability based on combination of information diffusion theory and BP neural network,” Journal of Northwest University, vol. 38, no. 6, pp. 983–988, 2008 (Chinese). View at Google Scholar
  39. C. F. Hung and J. D. Wang, Fuzzy Information Optimization Technology and Its Application, University of Aeronautics & Astronautics Press, Beijing, China, 1995 (Chinese).