Study on risk assessment of water security of drought periods based on entropy weight methods

Abstract

PurposeThe purpose of this paper is to obtain risk indicators of water security of drought periods in which the indices of reliability, resiliency, and vulnerability are integrated.Design/methodology/approachIt is not reasonable that weight coefficients of different risk indices are often determined subjectively in conventional procedures, so the entropy weight method is introduced and chosen to solve the problem. Entropy weight method can get the weight coefficients of different risk indices objectively and is valid from the case study.FindingsThe feasibility and validity of entropy weight methods to determine weight coefficients of different risk indices objectively are recognized.Research limitations/implicationsAccessibility and availability of data are the main limitations.Practical implicationsThe paper provides a more objective risk indicator of water security of drought periods for water resources managers.Originality/valueThis paper determines the weight coefficients of different risk indices for risk assessment of water security of drought periods based on hazard entropy. The paper is aimed at water resources managers and relative researchers, especially those who deal with risk assessment of water security of drought periods.

Water security: Debating an emerging paradigm

“…Here, water security research often has a combined focus on both availability and pollution, drawing on definitions from the World Water Forum 2000, either the Global Water Partnership (Zhao et al, 2009) or the Ministerial Declaration (Dong et al, 2010;Zhou et al, 2007). For example, ''[W]ater security means the ability to supply water, according to a specified quality, to homes and industry under conditions satisfactory to the environment and at an acceptable price'' (Xia et al, 2007, p. 242).…”

Optimizing layout of pumping well in irrigation district for groundwater sustainable use in northwest China

“…Then, alternatives can be ranked based on the descending order of c i . Now information entropy weight and TOPSIS have been widely used in agriculture, water resources, environment and energy for different purposes (Dong et al ., ; Li et al ., ; Shang and Wang, ). In the study of well layout, the method can be used to evaluate and classify the study area from unsuitable to highly suitable area for drilling wells (Liu et al ., ), but it still fails to obtain the specific locations of wells.…”

Response to the comments, many thanks

“…The contribution of the numerical value in high frequencies or common consensus factor to the qualitative concept is greater than that of the numerical value in low frequencies (Yang and Nataliani, 2018). The En in the SCM could coincide with the idea of the entropy method in essence (T. Dong et al, 2010). This paper makes use of similar connotations of the SCM and entropy methods.…”