桃林口水库水污染特征及水质评价
Pollution Characterization and Water Quality Assessment of Taolinkou Reservoir
DOI: 10.12677/JWRR.2019.84048, PDF,    科研立项经费支持
作者: 戴天骄, 赵 林, 陈 亮, 刘 琦, 冯琛雅：天津大学环境科学与工程学院，天津；赵明杰：秦皇岛天大环保研究院有限公司，河北 秦皇岛
关键词: 水质；评价；BP神经网络；桃林口水库；Water Quality； Evaluation； BP Neural Network； Taolinkou Reservoir
摘要: 利用皇岛桃林口水库2008~2017年十年的实测数据，选取PH、总磷(TP)、氨氮(NH3-N)、高锰酸盐指数(CODMn)、溶解氧(DO)和五日生化需氧量(BOD5) 6项指标，采用单因子评价法、综合污染指数法和BP神经网络模型等3种方法进行水质评价。研究结果表明：1) 单因子水质评价结果表明，桃林口水库水质全因评价达到III类水质目标要求。2) 综合污染指数法表明，水源站全年的综合污染指数在0.437~0.578，出库站全年的综合污染指数在0.439~0.569，均为轻污染。3) BP神经网络模型表明，桃林口水库十年全年平均水质都为II类水质。该水质评价研究经验为桃林口水库的管理提供较为客观的决策依据，也可为其他地区的水质评价工作提供参考借鉴。
Abstract: Based on measured data during 2008~2017 at Taolinkou Reservoir in Qinhuangdao, six water quality indicators (PH, total phosphorus (TP), ammonia nitrogen (NH3-N), permanganate index (CODMn), dis-solved oxygen (DO) and five-day BOD5) were evaluated by three different evaluation methods (single factor evaluation method, comprehensive pollution index method and BP neural network model). The results showed that: 1) Single-factor water quality evaluation indicated that the water quality all-caliber evaluation met the requirements of Class III water quality. 2) The comprehensive pollution index method showed that the comprehensive pollution index of the water source station was 0.437~0.578, and the comprehensive pollution index of the outbound station was 0.439~0.569, which was light pollution. 3) The BP neural network model showed that the average annual water quality was Grade II water quality. It provided a more objective decision-making basis for the management of Taolinkou Reservoir, and could also provide reference for water quality assessment in other areas.
文章引用：戴天骄, 赵林, 陈亮, 刘琦, 冯琛雅, 赵明杰. 桃林口水库水污染特征及水质评价[J]. 水资源研究, 2019, 8(4): 412-422. https://doi.org/10.12677/JWRR.2019.84048

参考文献

[1] 罗定贵, 王学军, 郭青. 基于MATLAB实现的ANN方法在地下水质评价中的应用[J]. 北京大学学报(自然科学版), 2004, 40(2): 296-302. LUO Dinggui, WANG Xuejun and GUO Qing. Application of ANN method based on MATLAB in groundwater quality evaluation. Journal of Peking University (Natural Science), 2004, 40(2): 296-302. (in Chinese)
[2] 何长宽, 宋宝生, 等. 桃林口水库一期工程对秦皇岛市城市用水的作用[J]. 河北水利水电技术, 1999(1): 24-25. HE Changkuan, SONG Baosheng, et al. The effect of the first phase of Taolinkou Reservoir on urban water use in Qinhuangdao City. Hebei Water Resources and Hydropower Technology, 1999(1): 24-25. (in Chinese)
[3] 中华人民共和国国家环境保护总局. GB3838-2002中华人民共和国国家标准——地表水环境质量标准[S]. 北京: 中国环境科学出版社, 2002. State Environmental Protection Administration of the People’s Republic of China. GB3838-2002 National Standard of the People’s Republic of China—Surface water environmental quality standard. Beijing: China Environmental Science Press, 2002. (in Chinese)
[4] 杨浩, 张国珍, 杨晓妮, 等. 基于模糊综合评判法的洮河水环境质量评价[J]. 环境科学与技术, 2016, 39(S1): 380-386. YANG Hao, ZHANG Guozhen, YANG Xiaoni, et al. Evaluation of Weihe river water environment quality based on Fuzzy Comprehensive Evaluation Method. Environmental Science & Technology, 2016, 39(S1): 380-386. (in Chinese)
[5] 郭蓉, 张雯, 徐亮. 太湖流域地表水监测网络与业务化平台研究进展[J]. 环境与发展, 2018, 30(8): 171-172. GUO Rong, ZHANG Wen and XU Liang. Research progress of surface water monitoring network and operational flatform in Taihu Basin. Environment and Development, 2018, 30(8): 171-172. (in Chinese)
[6] 郑琨, 张蕾, 薛晨亮. 单因子指数法在水质评价中的应用研究[J]. 地下水, 2018, 40(5): 79-80. ZHENG Wei, ZHANG Lei and XUE Chenliang. Application of single factor index method in water quality evaluation. Groundwater, 2018, 40(5): 79-80. (in Chinese)
[7] 刘荣荣, 顾妮娜, 李国栋, 吴春笃. 基于单因子标准指数法的浏河水质评价[J]. 江汉大学学报(自然科学版), 2019, 47(2): 139-145. LIU Rongrong, GU Nina, LI Guodong and WU Chunxi. Evaluation of Liuhe water quality based on single factor standard index method. Journal of Jianghan University (Natural Science), 2019, 47(2): 139-145. (in Chinese)
[8] 郭晶, 王丑明, 黄代中, 李利强, 连花. 洞庭湖水污染特征及水质评价[J]. 环境化学, 2019(1): 1-8. GUO Jing, WANG Chouming, HUANG Daizhong, LI Liqiang and LIAN Hua. Water pollution characteristics and water quality evaluation of Dongting Lake. Environmental Chemistry, 2019(1): 1-8. (in Chinese)
[9] 张文鸽, 李会安, 蔡大应. 水质评价的人工神经网络方法[J]. 东北水利水电, 2008, 22(10): 62-65. ZHANG Wenge, LI Hui’an and CAI Daying. Artificial neural network method for water quality evaluation. Northeast Water Resources and Hydropower, 2008, 22(10): 62-65. (in Chinese)
[10] 郝蓉, 刘廷玺, 李忠. LVQ神经网络在地下水水质评价中的应用[J]. 人民黄河, 2011, 33(6): 64-66. HAO Rong, LIU Tingxi and LI Zhong. Application of LVQ neural network in groundwater quality evaluation. People’s Yellow River, 2011, 33(6): 64-66. (in Chinese)
[11] 张水珍. 基于BP神经网络与主成分分析的流域水质评价——以嘉善重点流域为例[D]: [硕士学位论文]. 上海: 华东师范大学, 2011. ZHANG Shuizhen. Watershed water quality assessment based on BP neural network and principal component analy-sis—Taking the key basin of Jiashan as an example. Master’s Degree Thesis. Shanghai: East China Normal University, 2011. (in Chinese)
[12] 雷璐宁, 石为人, 范敏. 基于改进的SOM神经网络在水质评价分析中的应用[J]. 仪器仪表学报, 2009, 30(11): 2379-2383. LEI Yining, SHI Weiren and FAN Min. Application of improved SOM neural network in water quality evaluation analysis. Chinese Journal of Scientific Instrument, 2009, 30(11): 2379-2383. (in Chinese)
[13] CHAVES, P., KOJIRI, T. Deriving reservoir operational strategies considering water quantity and quality objectives by stochastic fuzzy neural networks. Advances in Water Resources, 2007, 30(5): 1329-1341. [Google Scholar] [CrossRef] 
[14] 曹阳阳. 基于RBF神经网络的燕山南麓水库群水质评价[J]. 水资源开发与管理, 2019, 37(2): 38-41. CAO Yangyang. Water quality evaluation of Yanshan Nanxun reservoir group based on RBF Neural Network. Water Re-sources Development and Management, 2019, 37(2): 38-41. (in Chinese)
[15] 何钰, 唐颖, 陈兰英, 黎云祥, 敬安兵, 肖娟. 基于BP神经网络的水质评价及水质时空演变趋势研究[J]. 环境保护科学, 2018, 44(3): 114-120+126. HE Wei, TANG Ying, CHEN Lanying, LI Yunxiang, JING Anbing and XIAO Juan. Study on water quality evaluation and water quality spatiotemporal evolution based on BP neural network. Environmental Protection Science, 2018, 44(3): 114-120+126. (in Chinese)
[16] HECHT-NIELSEN, R. Kolmogrov’s mapping neural network existence theorem. Proceedings of the International Conference on Neural Networks. New York: IEEE Press, 1987: 11-13.