应用生态学报2017，Vol.28Issue(8)：2714-2722,9.DOI:10.13287/j.1001-9332.201708.040
生态修复工程条件下污染河流水质模拟和应用
Simulation and application of water quality model in a polluted river under eco-restoration engineering scheme
摘要
Abstract
Ecological engineering is an important approach for river quality restoration;whilst mathematical models can effectively simulate the water treatment and eco-restoration efficiency.According to the actual data,a hydrological model was constructed and verified via application of the WASP water quality model,which was then used for simulation and evaluation of the river's main chemical parameters.It was also employed to study the ecological effect on river water quality improvement by constructed wetlands and aerated re-oxygenation.The results showed that the WASP water quality simulation was in good agreement with the water quality measurement,and different ecological restoration scenarios could be predicted and analyzed.Reasonable emission reduction,constructed wetlands and aerated re-oxygenation could reduce the pollutant concentration in the river water,and effectively improve the water quality.Incorporation of the aerated re-oxygenation device into the constructed wetland system would further enhance the river water ecological restoration efficiency.Taking the constructed wetland project with aeration of Yitong River in Jilin Province as an example,the ecological restoration efficiency was analyzed.The results showed that the removal effect of pollutants was the best in summer,and the possible reason was that the air temperature was higher in summer leading to stronger microbial activity in water.This study was of significance to the design and operation of ecological restoration engineering for the polluted river environment.关键词
水环境/河流/水质/生态工程/模型模拟Key words
water environment/river/water quality/ecological engineering/model simulation引用本文复制引用
徐斌,杨悦锁,王咏,张刚,范伟,路莹,高翠萍..生态修复工程条件下污染河流水质模拟和应用[J].应用生态学报,2017,28(8):2714-2722,9.基金项目
本文由国家水体污染控制与治理科技重大专项(2014ZX07201-011)、国家自然科学基金项目(41272255,41472237)、辽宁省创新团队项目(LT2015017)和沈阳市科学事业费竞争性选择项目(城市生态同险管理及其修复技术研究)资助 This work was supported by the National Water Pollution Control and Treatment Sci & Tech Major Project (2014ZX07201-011),the National Natural Science Foundation of China (41272255,41472237),the Liaoning Innovation Team Project (LT2015017) and Competitive Selection Project of Scientific Undertakings of Shenyang.China(Study of lity Ecological Risk Management and Remendiation Tecnnology). （2014ZX07201-011）
