基于粗糙集-GRNN算法的近岸海域生态污染风险评估方法  

Ecological Pollution Risk Assessment Method in Coastal Waters Based on Rough Set-GRNN Algorithm

作　　者：李博阳 罗俊 母凌燕 黄琳 Li Boyang;Luo Jun;Mu Lingyan;Huang Lin(Shenzhen Hengxing Safety Testing Technology Co.,Ltd.,Shenzhen,China;Shenzhen International Graduate School,Tsinghua University,Shenzhen,China)

机构地区：[1]深圳市衡兴安全检测技术有限公司,广东深圳 [2]清华大学深圳国际研究生院,广东深圳

出　　处：《科学技术创新》2024年第11期13-16,共4页Scientific and Technological Innovation

基　　金：2021年深圳市可持续发展专项课题“专2021N017近岸海域环境风险监测系统与预警技术研发”,项目编号(KCXFZ20201221173401005)。

摘　　要：传统的近岸海域生态污染风险评估方法,只能收集污染物浓度,因此设计一种基于粗糙集-GRNN算法的近岸海域生态污染风险评估方法。从历史监测数据中收集污染物浓度、环境因素和空间坐标等信息,计算污染物从排放口到监测点的迁移时间。确定不同污染物的影响范围,从而针对不同风险等级制定相应的环境保护措施。实验结果表明,设计的基于粗糙集-GRNN算法的近岸海域生态污染风险评估方法对于选取的6个近岸海域风险等级评估均正确,并且模型的输出值均低于标准生态阈值,最高差值达到0.2,证明本文所提方法准确率更高,具有更好的综合性能。The traditional method of ecological pollution risk assessment in nearshore waters can only collect pollutant concentrations.Therefore,a nearshore ecological pollution risk assessment method based on rough set GRNN algorithm is designed.Collect information on pollutant concentration,environmental factors,and spatial coordinates from historical monitoring data,and calculate the migration time of pollutants from the discharge outlet to the monitoring point.Determine the scope of impact of different pollutants,and formulate corresponding environmental protection measures for different risk levels.The experimental results show that the designed ecological pollution risk assessment method based on rough set GRNN algorithm is correct for the selected 6 risk levels of nearshore waters,and the output values of the model are all lower than the standard ecological threshold,with a maximum difference of 0.2.This proves that the proposed method has higher accuracy and better comprehensive performance.

关 键 词：粗糙集 GRNN 算法 近岸 海域 生态污染 风险 评估 

分 类 号：P641.69[天文地球—地质矿产勘探] X83[天文地球—地质学]