Regional Water Resources Security Evaluation Based on a Hybrid Fuzzy BWM-TOPSIS Method

Abstract

Nowadays, water resource security is becoming increasingly prominent, and this problem is a primary bottleneck restricting China’s future sustainable development. It is difficult to come to a unified conclusion on water resources security, and applications of highly feasible evaluation methods are lacking in practice. In this paper, a novel evaluation methodology is proposed for regional water resources security evaluation. First, water security is divided into two aspects: water quantity security and water quality security. The disposal rate of harmless household garbage, the excellent water resources proportion, and the functional water body loss proportion are creatively considered as indicators of water quality security in the evaluation system. In addition, a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is used to evaluate the water security levels in different regions. For distinguishing the importance of different indicators, a Best–Worst Method (BWM) is employed to calculate the indicator weights, as triangular fuzzy linguistic sets can more flexibly describe the preferences of decision makers (DMs) regarding the indicators; therefore, it is embedded in BWM to determine indicator weights. Moreover, the fuzzy BWM-TOPSIS method is applied to evaluate the water security levels of six regions in North China, a comparison analysis with the equal weight TOPSIS method as well as the fuzzy BWM-AHP method, and a sensitivity analysis for indicator weights are presented to illustrate the effectiveness of this proposed method. Finally, some suggestions based on the evaluation results are given for effective and rational utilization of water resources in North China.

Innovative Supplier Selection from Collaboration Perspective with a Hybrid MCDM Model: A Case Study Based on NEVs Manufacturer

“…The evaluators are experts with rich experience in the NEV field, who use triangular fuzzy linguistic terms to judge the importance of innovative supplier indicators, for triangular fuzzy linguistic terms can express human thoughts more accurately than traditional monolingual terms [42].…”

“…Thirdly, mankind's judgments are not in themselves complete rationality but include vague preferences. So in the evaluation process, it is more reasonable to adopt fuzzy linguistic sets to express the cognitive styles and experts' experiences [42][43][44]. Therefore, in order to describe the DMs' judgments on the importance of indicators more accurately, triangular fuzzy linguistic sets are incorporated in BWM in this paper, and hesitant fuzzy linguistic sets are employed in PT with VIKOR to depict more exactly some indicators that are difficult to quantify in reality [45][46][47].…”

Assessment of Water Quality using Fuzzy-AHP and TOPSIS

“…In An Giang the Northeast and the Southeast regions have bad quality water due to high Arsenic amount in water caused in monsoon season due to sediment deposition. Whereas, it also has bad ground water quality due to the combined effect of human and natural activities [2,15]. In areas, wherever groundwater is extracted for irrigation it had high values of GWQI links with high Arsenic content.…”

“…For example, the irrigation by contaminated water or bioaccumulation of ototoxic chemicals by aquatic animals throughout swimming in contaminated water. [2]. Therefore, in Life and Trade the highest priority is the interception of pollution.…”

Spatial Variations and Influencing Factors of River Networks in River Basins of China

“…River networks play an essential role in shaping river morphology [1], maintaining biodiversity [2,3], and regulating storage and flood control [4,5]. Nowadays, river networks are threatened with a reduction in length and area due to both natural and human activities, leading to serious damage to their functions [6,7]. Therefore, the conservation and management of river networks has become the focus of current research [8,9].…”