Hazard assessment of drought disaster using a grey projection incidence model for the heterogeneous panel data
Grey Systems: Theory and Application
ISSN: 2043-9377
Article publication date: 6 September 2018
Issue publication date: 24 September 2018
Abstract
Purpose
Hazard assessment on drought disaster is of great significance for improving drought risk management. Due to the complexity and uncertainty of the drought disaster, the index values have some grey multi-source heterogeneous characteristics. The purpose of this paper is to construct a grey projection incidence model (GPIM) to evaluate the hazard of the drought disaster characterised by the grey heterogeneity information.
Design/methodology/approach
First, the index system of the drought hazard risk is established based on the formation mechanism of the drought disaster. Then, the GPIM for the heterogeneous panel data is constructed to assess drought hazard of five cities in Henan Province. Subsequently, based on the assessment results, the grey clustering model is employed for the regional division.
Findings
The findings demonstrate that five cities in central Henan Province are divided into three categories, which correspond to three different risk grades, respectively. With respect to different drought risk areas, corresponding countermeasures and suggestions are proposed.
Practical implications
This paper provides a practical and effective new method for the hazard assessment on drought disaster. Meanwhile, these countermeasures and suggestions can help policy makers to improve the efficiency of drought resistance work and reduce the losses caused by drought disasters in Henan Province.
Originality/value
This paper proposes a new GPIM which resolves the assessment problems of the uncertain systems with grey heterogeneous information, such as real numbers, interval grey numbers and three-parameter interval grey numbers. It not only expands the application scope of the grey incidence model, but also enriches the research of panel data.
Keywords
Acknowledgements
This paper is supported by National Natural Science Foundation of China (71271086), Scientific and Technological Plan Fund Project of Henan Province (182102310014; 162102310469), and Key Research Project Plan of Henan Universities (18A630030).
Citation
Luo, D., Ye, L., Zhai, Y., Zhu, H. and Qian, Q. (2018), "Hazard assessment of drought disaster using a grey projection incidence model for the heterogeneous panel data", Grey Systems: Theory and Application, Vol. 8 No. 4, pp. 509-526. https://doi.org/10.1108/GS-05-2018-0020
Publisher
:Emerald Publishing Limited
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