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2013-2019年陕北矿区饮用水源地水质特征及驱动因素
董颖1, 吴喜军1,2, 李怀恩2, 张亚宁1, 武宏梅3, 刘静1, 张范平1
1.榆林学院 建筑工程学院, 陕西 榆林 719000;2.西安理工大学 省部共建西北旱区 生态水利国家重点实验室, 陕西 西安 710048;3.榆林高新区水务有限责任公司, 陕西 榆林 719000
摘要:
[目的] 分析陕北矿区饮用水源地尤家峁水库的水质变化特征和驱动因素,为中国同类地区饮用水的保护和处理提供技术依据。[方法] 于2013-2019年对榆林市饮用水源地尤家峁水库水质进行连续监测,获取了20项水质指标数据,并采用主成分分析法(PCA)和PCA-熵值结合法对监测数据进行分析。[结果] ①浑浊度、色度、锰含量是影响尤家峁水库水质的主要驱动因子,高锰酸盐指数、氨氮次之。水质净化的首要任务是除锰。②尤家峁水库2014年水质最差,2015,2016年水质较好;年内冬季水质最好,夏季最差,与降水量、气温变化有明显的相关性。③ PCA是一种切实可行的水质主要驱动因子识别方法,与PCA-熵值结合法的计算结果基本一致。[结论] 锰污染是尤家峁水库水质恶化的主导因素,夏季锰浓度明显升高,应相应调整水处理工艺或增大药剂投加量,以满足民生饮水安全。
关键词:  主成分分析法  熵值法  陕北矿区  饮用水源  水质特征  驱动因子
DOI:10.13961/j.cnki.stbctb.2021.01.039
分类号:X824
基金项目:国家自然科学基金项目“陕北窟野河流域煤炭开采对河流生态健康的影响机理研究”(51969031);陕西省重点研发计划项目(2020SF-412,2020SF-409);西北旱区生态水利国家重点实验室开放基金项目(2019KFKT-13);榆林市科技局项目(2019-101-2)
Water Quality Characteristics and Driving Factors of Drinking Water Source in Northern Shaanxi Mining Area During 2013-2019
Dong Ying1, Wu Xijun1,2, Li Huaien2, Zhang Yaning1, Wu Hongmei3, Liu Jing1, Zhang Fanping1
1.School of Civil Engineering, Yulin University, Yulin, Shaanxi 719000, China;2.State Key Laboratory of Eco-hydraulics in Northwest Arid Region, Xi'an University of Technology, Xi'an, Shaanxi 710048, China;3.Yulin High-tech Zone Water Co., Ltd., Yulin, Shaanxi 719000, China
Abstract:
[Objective] The water quality change characteristics and driving factors of Youjiamao reservoir, which is a drinking water source of mining area in Northern Shaanxi Province were analyzed to provide a technical support for the protection and treatment of drinking water in similar areas.[Methods] The water quality of Youjiamao reservoir was continuously monitored from 2013 to 2019, and 20 water quality indicators were obtained. The principal component analysis (PCA) and PCA-entropy method were used to analyze the monitoring data.[Results] ① Turbidity, chroma, manganese were the main driving factors of water quality in Youjiamao reservoir, followed by permanganate index and ammonia nitrogen. The primary task of water purification was to remove manganese. ② The water quality of Youjiamao reservoir was the worst in 2014, and was better in 2015 and 2016. Water quality was the best in winter and the worst in summer, which had obvious correlation with the precipitation and temperature. ③ PCA was a feasible method to identify the main driving factors of water quality, which was basically consistent with the calculation result of PCA-entropy method.[Conclusion] Manganese pollution is the key factor for the deterioration of water quality in Youjiamao reservoir, and the manganese concentration is significantly higher in summer. Therefore, water treatment technology should be adjusted or chemicals dosage should be increased to meet the drinking water safety.
Key words:  principal component analysis (PCA)  entropy method  mining area in Northern Shaanxi Province  drinking water source  water quality characteristics  driving factors