School of Management Science and Engineering, Anhui University of Finance & Economics, Bengbu, 233030, China.
School of Civil and Hydraulic Engineering, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, China.
Environ Monit Assess. 2024 Jan 31;196(2):223. doi: 10.1007/s10661-024-12346-2.
The assessment of seawater quality is a complex process as it involves the influence of several factors and is characterized by dynamic changes in these factors. Herein, a novel model coupled with the semi-partial subtraction set pair potential method (SSSPP) and game theory was discussed for the dynamic assessment of seawater quality. In the proposed model, the identity-discrepancy-contrary degrees were calculated to construct the evaluation matrix, and then the classification and the dynamic risk trends of the seawater quality were determined. A case study and comparison with the single-factor approach and Nemerow index evaluation method were carried out to confirm the accuracy and dependability of the suggested model. The results indicate that the proposed method can be used to measure trends in seawater quality evolution and also to diagnose key indicators affecting seawater quality. It provides a new and effective way to accurately identify the quality of seawater and its trends.
海水水质评价是一个复杂的过程，因为它涉及到几个因素的影响，并且这些因素具有动态变化的特点。在此，本文讨论了一种新的模型，该模型结合了半偏最小二乘集对势方法（SSSPP）和博弈论，用于海水水质的动态评价。在提出的模型中，通过计算身份差异矛盾度来构建评价矩阵，然后确定海水水质的分类和动态风险趋势。通过案例研究和与单因素方法和 Nemerow 指数评价方法的比较，验证了所建议模型的准确性和可靠性。结果表明，该方法可用于衡量海水水质演变趋势，也可用于诊断影响海水水质的关键指标。它为准确识别海水质量及其趋势提供了一种新的有效方法。
