| 摘要: |
| 采用BP神经网络、内梅罗指数和综合营养状态指数评价了太湖金墅港、渔洋山饮用水源地水质及综合营养状态。结果表明， 2012年金墅港和渔洋山的水质基本达到国家Ⅱ类水要求，其水质均处于中营养状态（31.43~47.66），不同水期对水源地营养状态影响较大，丰水期水质综合营养状态指数最低，且变化较小。渔洋山的年均富营养化状况（42.08）比金墅港（40.62）略重。 |
| 关键词: 太湖 饮用水源地 BP神经网络 内梅罗指数 综合营养状态指数 |
| DOI： |
| 分类号:X832 |
| 基金项目:国家水体污染控制与治理科技重大专项项目（2011ZX07506-003-005） |
|
| Water Quality Assessment of Drinking Water Source(Jinshugang， Yuyangshan) of Taihu Lake |
|
LIN Yi wen1， CAI Ye1，SI Wei2，LI Yue e11,2
|
|
1.Suzhou Environmental Monitoring Central Station,Suzhou,Jiangsu 215006,China;2.Jiangsu Environmental Monitoring Center,Nanjing,Jiangsu 210036,China
|
| Abstract: |
| BP neural network, Nemerow index and integrate nutrition index method were applied to assess water quality and water nutrition state of drinking water source (Jinshugang and Yuyangshan) of Taihu Lake in this study. The results indicated that the two drinking water sources of Taihu Lake had reached the water quality standard for a drinking water source area. Besides, the water quality of Jinshugang was better than Yuyangshan. The two drinking sources of Taihu Lake were both at medium nutrient (31.43~47.66). Water seasons affected the nutrient state significantly. The variance was slight and the integrate nutrition index was lowest in rainy season. Besides, the average of integrate nutrition index of Yuyangshan（42.08） was slightly higher than Jinshugang（40.62）, indicating that a more serious eutrophic state of Yuyangshan. |
| Key words: Taihu lake Drinking water source BP neural network Nemerow index method Integrate nutrition index |
