| 巢湖南淝河口黑水团区流速和溶解氧与Fe2+、S2-浓度的空间关联性 |
| |
| 引用本文： | 王玉琳,汪靓,华祖林,丁士明.巢湖南淝河口黑水团区流速和溶解氧与Fe2+、S2-浓度的空间关联性[J].湖泊科学,2016,28(4):710-717. |
| |
| 作者姓名： | 王玉琳 汪靓 华祖林 丁士明 |
| |
| 作者单位： | 河海大学浅水湖泊综合治理与资源开发教育部重点实验室, 南京 210098;河海大学环境学院, 南京 210098;河海大学水资源高效利用与工程安全国家工程研究中心, 南京 210098,河海大学浅水湖泊综合治理与资源开发教育部重点实验室, 南京 210098;河海大学环境学院, 南京 210098;河海大学水资源高效利用与工程安全国家工程研究中心, 南京 210098,河海大学浅水湖泊综合治理与资源开发教育部重点实验室, 南京 210098;河海大学环境学院, 南京 210098;河海大学水资源高效利用与工程安全国家工程研究中心, 南京 210098,中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室, 南京 210008 |
| |
| 基金项目： | 国家水体污染控制与治理科技重大专项(2012ZX07103-005)、国家自然科学基金项目(51379060, 51179052)、江苏省“青蓝工程”、普通高校研究生科研创新计划(CXZZ13_0271, KYLX15_0474)和黄浦江水文数值预报与分析系统研究项目(沪水科2014-10)联合资助. |
| |
| 摘 要： | 黑臭现象在我国东部地区浅水湖泊频繁发生,已经严重影响环湖地区的社会经济发展.厌氧环境和高浓度Fe~(2+)、S~(2-)是引起黑臭现象的必要条件.本文解析巢湖南淝河口区黑臭水团范围内Fe~(2+)、S~(2-)与DO、流速的分布特性;基于空间计量模型重点探讨了流速、DO和Fe~(2+)、S~(2-)分布的空间关联性.结果发现,水体流动在黑臭水团中主要有两个作用:使Fe~(2+)、S~(2-)和DO彼此产生空间相关性以及通过分散作用改变局部Fe~(2+)、S~(2-)浓度分布;同时流速通过增强复氧间接影响Fe~(2+)及S~(2-)总体浓度的作用较小.流速与Fe~(2+)、S~(2-)之间均满足线性空间滞后模型;而线性回归模型中流速对Fe~(2+)的影响低估了约7%,对S~(2-)的影响则低估了12%.
|
| 关 键 词： | 黑臭 Fe2+ S2- 流速 溶解氧 空间计量模型 巢湖 南淝河 |
| 收稿时间： | 2015/3/26 0:00:00 |
| 修稿时间： | 2015/10/26 0:00:00 |
The relationships of velocity, dissolved oxygen with Fe2+,S2- in black bloom region on Nanfei River estuary of Lake Chaohu |
| |
| WANG Yulin,WANG Liang,HUA Zulin and DING Shiming.The relationships of velocity, dissolved oxygen with Fe2+,S2- in black bloom region on Nanfei River estuary of Lake Chaohu[J].Journal of Lake Science,2016,28(4):710-717. |
| |
| Authors: | WANG Yulin WANG Liang HUA Zulin and DING Shiming |
| |
| Institution: | Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, P.R.China;College of Environment, Hohai University, Nanjing 210098, P.R.China;National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, P.R.China,Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, P.R.China;College of Environment, Hohai University, Nanjing 210098, P.R.China;National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, P.R.China,Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing 210098, P.R.China;College of Environment, Hohai University, Nanjing 210098, P.R.China;National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University, Nanjing 210098, P.R.China and State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, P.R.China |
| |
| Abstract: | The black bloom, which happened frequently in shallow lakes in eastern China, had impacted the social and economic development of the regions around the lakes. Anaerobic condition and high concentration of Fe2+ and S2- are prerequisites when black bloom occurs. The distributions of Fe2+, S2-, velocity and DO in black bloom region on Nanfei River estuary of Lake Chaohu were analyzed. The relationships among Fe2+, S2-, DO and flow velocity were discussed by spatial analysis model. The results indicated the flow velocity had two effects on water''s black bloom. There are spatial correlations of Fe2+, S2- and DO due to water flow, and local concentration distribution of Fe2+ and S2-was changed by dispersion effect. However, the indirect effect on the values of concentration of Fe2+ and S2- is small on account of that water movement enhances the re-oxygenation. Linear spatial lag model was satisfied between the velocity and Fe2+ or S2-. Linear regression model could lead to 7% underestimation about the velocity effects on Fe2+ concentration distribution, and 12% underestimation on S2- concentration distribution. |
| |
| Keywords: | Black bloom Fe2+ S2- velocity dissolved oxygen spatial analysis model Lake Chaohu Nanfei River |
| 本文献已被 CNKI 等数据库收录！ |
| 点击此处可从《湖泊科学》浏览原始摘要信息 |
| 点击此处可从《湖泊科学》下载免费的PDF全文 |
|
