Seawater quality assessment method based on improved grey relational degree clustering:a case study of Daya Bay
Marine environmental quality assessment is the basis of marine environmental management,and its accuracy de-pends on the level of marine environmental monitoring and evaluation.In order to establish a scientific and effective indicator evaluation system and analyze the current seawater quality situation in western Daya Bay accurately,we carried out an explora-tion and research on sea water quality assessment in Daya Bay nuclear power sea area by improving grey relational degree clus-tering and combining it with hierarchical clustering.The evaluation results show that for relative evaluation of seawater quality,the proportions of Class Ⅰ,Class Ⅱ and Class Ⅲ stations were 20.83％,66.67％and 12.5％,respectively,which was an overall good result.Comparing the the four seasons,it is found that the average absolute correlation followed a descending order of summer(0.747 9)＞winter(0.734 5)＞spring(0.729 0)＞autumn(0.709 7).The seawater quality was better in summer but worse in autumn.According to the evaluation results,the 24 stations in Daya Bay can be divided into three areas,which is con-sistent with the actual production,living conditions around Daya Bay and field survey,proving the operability of this evaluation method.
Daya BaySeawater quality assessmentGrey correlation degreeHierarchical clustering
万方数据
维普
