巢湖南淝河口黑水团区流速和溶解氧与Fe^(2+)、S^(2-)浓度的空间关联性

The relationships of velocity,dissolved oxygen with Fe^(2+),S^(2-)in black bloom region on Nanfei River estuary of Lake Chaohu

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%.

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 indi- cated 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 effectson Fe2＋ concentration distribution, and 12% underestimation on S2- concentration distribution.