Agricultural Drought Vulnerability Evaluation of Gansu Province

Yong Qiang Dai, Lian Guo Wang, Bin Hu

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Address to the multidimensionality and the uncorrelation of agricultural drought vulner-ability evaluation indicators a new method, projection pursuit based on the improved shuffled frog leaping algorithm, is used to evaluate the agricultural drought vulnerability. By combining the chemotaxis operation of bacteria foraging algorithm with the shuffled frog leaping algorithm, the method enhances the individual refinement searching ability within solution domain and improves the optimizing accuracy and stability of the projection pursuit model. The proposed method searches for the optimal projection direction and acquires evaluation index weights basing on characteristics of sample data, accordingly, reducing the interference of artificial empowerment with evaluation results of objectivity. The feasibility and validity of the method are verified by the analyzing and evaluating the agricultural drought vulnerability data in 14 regions of Gansu province.

Original languageEnglish
Pages (from-to)515-523
Number of pages9
JournalYingyong Kexue Xuebao/Journal of Applied Sciences
Volume36
Issue number3
DOIs
Publication statusPublished - May 2018
Externally publishedYes

Keywords

  • Agricultural drought vulnerability
  • Huffled frog leaping algorithm
  • Projection pursuit
  • Projection value

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