摘要
城市中的池塘是城市水体的重要组成部分,为揭示城市化背景下池塘水体水质的时间变化特性,选取扬州大学江阳路南校区池塘为研究区,对该池塘2018年7月至2019年6月的水质参数蓝绿藻浓度(Phyco)、水温(WT)、溶解氧(DO)、pH与电导率(EC)进行观测,采用变异系数法、单因子水质标识指数法以及多元线性回归法对各参数的变化特性进行评价。结果显示:池塘WT呈季节性变化;观测期间pH变化范围为7.74~9.98,水体呈碱性;DO变化的随机性较强,未表现出明显变化规律;各水质参数变异性及权重从大到小依次为WT>DO>EC>pH;以DO为指标的单因子水质标识指数结果表明:池塘DO达到Ⅲ类水要求的时段占总观测时段的84%;多元线性回归分析结果表明:DO与WT、pH呈正相关,与Phyco呈负相关,Phyco及pH的变化对DO浓度的影响相对于WT大。
Pond water is an important part of urban water body.To reveal the temporal variation characteristics of pond water quality under the background of urbanization.A pond in the Lunan Campus of Yangzhou University is chosen as the study area.Observations on the water quality parameters such as blue-green algae content(Phyco),water temperature(WT),dissolved oxygen(DO),pH and electrical conductivity(EC)is carried out in the period from July 2018 to June 2019(1 year).An analysis of the water quality parameters is carried out by using the methods of coefficient of variation method,single factor water quality index method and multiple linear regression method.The results indicate that WT seasonally changes;pH varies from 7.74 to 9.98 that the water is alkaline during the research period;DO changes randomly,no obvious discipline;the order of the variability and weight of each water quality parameter is WT>DO>EC>pH;the single factor water quality index of DO shows that the water quality category is mostly III which accounts for 84%of the research period.An analysis of the multiple linear regression method shows that DO is positively correlated with WT and pH,negatively correlated with Phyco,the effect of Phyco and pH on DO is more significant than that of WT.
作者
顾准
黄金柏
黄涌增
罗迪文
GU Zhun;HUANG Jin-bai;HUANG Yong-zeng;LUO Di-wen(School of Hydraulic Science and Engineering,Yangzhou University,Yangzhou 225127,Jiangsu Province,China)
出处
《中国农村水利水电》
北大核心
2020年第5期78-83,共6页
China Rural Water and Hydropower
基金
国家自然科学基金项目(41271046)
2018年扬州大学青蓝工程-中青年学术带头人项目
2019年扬州市科协软科学项目(201959)
2019年度扬州市中国大运河研究院项目。
关键词
池塘水体
水质参数
变异系数
单因子水质标识指数
多元线性回归
pond water
water quality parameters
variability coefficient
single factor water quality identification index
multiple linear regression
