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| 登沙河流域水质监测断面优化研究 |
| Optimization of Water Quality Monitoring Sections in Dengsha River Watershed |
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| DOI： |
| 中文关键词: 水质监测 断面优化 系统聚类法 模糊聚类法 物元分析法 登沙河流域 |
| 英文关键词: Water quality monitoring Section optimization Systematic clustering method Fuzzy clustering method Matter element analysis Dengsha River watershed |
| 基金项目:国家自然科学基金资助项目（51809031）；国家重点研发计划基金资助项目（2019YFC1407701） |
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| 中文摘要: |
| 基于大连市登沙河监测断面的水质数据，采用系统聚类法、模糊聚类法和物元分析法进行优化，筛选代表性断面。结果表明，优化后的监测断面个数减少了40%，相关性较高的相邻断面个数由优化前的71%减少为54%，优化前、后的样本方差齐且均值无显著性差异。优化后的监测断面在显著提高效率的同时也确保了数据的代表性，使得断面重复布设情况得到明显改善。 |
| 英文摘要: |
| Based on the water quality data from the monitoring sections in Dengsha River in Dalian， the approaches of systematic clustering， fuzzy clustering and matter element analysis were applied to optimize the monitoring sections. Results showed that the number of monitoring sections decreased by 40% after optimization， and the number of highly correlated adjacent sections decreased from 71% to 54% by optimization. Before and after optimization， the sample variances were homogeneous and the mean values had no significant difference. Therefore， the optimized monitoring network could obviously raise the monitoring efficiency， eliminate the reduplicative sections， and ensure the representativeness of the data. |
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