摘要
以巢湖南淝河口湖湾区的黑臭水体为例,运用分位数回归方法研究了黑臭水体中不同浓度Fe^(2+)、S^(2-)与DO及流速的定量关系.比较发现:分位数回归方法能够定量分析流速和DO对不同浓度Fe^(2+)、S^(2-)的作用;而普通线性回归则无法给出它们彼此在不同浓度情况下的定量关系.进一步分析发现,水体流动主要通过分散作用降低黑臭水体中Fe^(2+)及S^(2-)的浓度;增加流速对降低南淝河口及黑臭水体边缘等Fe^(2+)、S^(2-)浓度梯度较大区域的污染效果显著;但对黑臭水体中间位置Fe^(2+)、S^(2-)浓度梯度较小区域污染没有显著影响.增加DO对减少S^(2-)浓度达到0.043mg/L以上或Fe^(2+)浓度达到0.80mg/L以上黑臭水体区域污染的效果明显;但对低浓度Fe^(2+)、S^(2-)污染的处理效果不佳.这些结果为治理浅水湖泊中的黑臭水体提供了理论依据.
The quantile regression method has been applied to examine the relationship between different concentrations of Fe2+and S2-with velocity and Dissolved Oxygen(DO)in the black bloom region on the Nanfei River estuary of Chaohu Lake.Unlike linear regression,quantile regression can quantitatively analyze the effect of flow velocity and DO on different concentrations of Fe2+and S2-.Analysis showed that the flow of water reduces the concentration of Fe2+and S2-by dispersion.The effect of increasing velocity significantly reduced the concentration of Fe2+and S2-in the Nanfei River estuary and the edge of the black bloom where the concentration gradient was high.However,there was hardly any effect on the reduction of Fe2+and S2-pollution in the middle of the black bloom region where the concentration gradient was low.Increasing the DO concentration reduced the S2-pollution if the concentration was above 0.043mg/L.It also decreased the Fe2+concentration when it was above 0.80mg/L.Conversely,the treatment of low concentrations of Fe2+and S2-were little.These results provide a theoretical basis for the management of black blooms in shallow lakes.
作者
王玉琳
汪靓
华祖林
WANG Yu-lin;WANG Liang;HUA Zu-lin(Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education,College of Environment,Hohai University,Nanjing 210098,China;National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety,Hohai University,Nanjing 210098,China;College of Environment,Hohai University,Nanjing 210098,China)
出处
《中国环境科学》
EI
CAS
CSSCI
CSCD
北大核心
2018年第2期627-633,共7页
China Environmental Science
基金
水体污染控制与治理科技重大专项课题(2012ZX07103-005)
国家自然科学基金资助项目(51379060
51739002)
江苏省"青蓝工程"
中央高校基本科研业务费专项资金资助(2016B21214
2015B24714
2015B36314)