甘肃省地区农业旱灾脆弱性评价

doi:10.3969/j.issn.0255-8297.2018.03.011

Abstract

Abstract:

Address to the multidimensionality and the uncorrelation of agricultural drought vulner-ability evaluation indicators a new method, projection pursuit based on the improved shufed frog leaping algorithm, is used to evaluate the agricultural drought vulnerability. By combining the chemotaxis operation of bacteria foraging algorithm with the shufed frog leaping algorithm, the method enhances the individual refnement 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 artifcial empowerment with evaluation results of objectivity. The feasibility and validity of the method are verifed by the analyzing and evaluating the agricultural drought vulnerability data in 14 regions of Gansu province.

Key words: projection pursuit, projection value, hufed frog leaping algorithm, agricultural drought vulnerability

CLC Number:

TP181

DAI Yong-qiang, WANG Lian-guo, HU Bin. Agricultural Drought Vulnerability Evaluation of Gansu Province[J]. Journal of Applied Sciences, 2018, 36(3): 515-523.

References

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Agricultural Drought Vulnerability Evaluation of Gansu Province

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