摘要
水质评价对了解水体生态功能、区域环境质量、科学制定治理规划有着重要的作用。文章以雄安新区白洋淀水质为研究对象,通过2009-2017年现场实际监测数据与试验,对7个代表性监测站点的溶解氧等6个指标进行监测,运用灰色聚类分析法并结合变异系数法赋权,对其水质进行分级与评价,为白洋淀的综合治理提供更加客观科学依据。研究结果表明:光淀张庄、枣林庄的水质等级为Ⅲ类,水质状况达标;烧车淀、王家寨、采蒲台、圈头的水质等级Ⅳ类,端村的水质等级为Ⅴ类,水质均不达标;评价结果比较客观的反映了水体水质状况与类别,克服了单因素评价易受个别因素影响的缺陷。
Water quality assessment plays an important role in understanding the ecological function of water body, regional environmental quality and scientific treatment planning. Taking the water quality of Baiyangdian Lake in Xiongan New Area as the research object, this paper monitors the dissolved oxygen and other six indexes of 7 representative monitoring stations through the field monitoring data and experiments from 2009 to 2017. The gray cluster analysis method combined with the coefficient of variation method is used to classify and evaluate the water quality in order to provide a more objective and scientific basis for the comprehensive treatment of Baiyangdian Lake. The results show that the water quality grade of Guangdian Zhangzhuang and Zaolin Zhuang is Class Ⅲ, the water quality is up to the standard, the water quality of Chaochedian, Wangjiazhai, Caiputai and Huantou is Class Ⅳ,and the water quality of Duan Village is Class Ⅴ. The water quality is not up to the standard. The evaluation results objectively reflect the status and types of water quality and overcome the shortcomings of single factor evaluation which is easily affected by individual factors.
出处
《科技创新与应用》
2019年第34期43-45,共3页
Technology Innovation and Application
基金
水体污染控制与治理科技重大专项资助(编号:2018ZX07110-007)
关键词
白洋淀
水质指标
变异系数法
灰色聚类
评价
Baiyangdian Lake
water quality index
coefficient of variation method
gray clustering
evaluation
作者简介
杨娜(1990-),女,硕士在读,研究方向:环境管理。
