Study And Control Of Water Quality Change In Scenic River

With the development of cities, it will become a new developmental direction to beautify environment and to resume water ecology environment. At the same time, the problem of regulation of Scenic River must be faced by many cities. Taking the Jinhe River as a study object and based on monitor and assessment to Jinhe River, water quality model was built to simulate and predict water quality of the river. Combined with regulation of Scenic River of Tianjin and the real condition of Jinhe River, measures were put forward to control water pollution. Firstly, Based on investigation and historical data, 10 monitor points were reset before water quality of Jinhe River was monitored for one month. The monitored water quality terms included temperature, dissolved oxygen, total nitrogen, ammonia nitrogen, nitrite nitrogen, nitrate nitrogen, total phosphorus, dissolved phosphorus, orthophosphate, chemical oxygen demand and chlorophyll a, which altogether were 11 terms.Secondly, with water quality monitor data and based on single factor analysis to Jinhe River, comprehensive assessment to water quality of Jinhe River was given with Nemerow Pollutant Index. In this assessment, two groups of evaluation factors were used: one group is stipulated in "Environment quality standards for surface water (GB3838-2002)"; the other factors included main pollutants of Jinhe River, such as kjeldahl nitrogen, nitrite nitrogen, nitrate nitrogen and chlorophyll a, and the standards of some of them were given by the author on the basis of relative data.Thirdly, water quality model QUAL2E was selected to simulate and predict water quality within Jinhe River according to the specific conditions of the river. Some of parameters were fixed by experience data and experience formula, the others were estimated by reasoning backward to the model. According to the current conditions of Jinhe River. The method of reasoning backward to the model was put forward by the author, which was proved the best one after comparing with the other two methods.Fourthly, taking three groups of water quality data of Jinhe River as original data, prediction to water quality of the river was made. Compared with real monitored value, the error of predicted value of all of simulating terms, including dissolved oxygen, bio-chemical oxygen demand, chlorophyll a, organic nitrogen, ammonia nitrogen, nitrite nitrogen, nitrate nitrogen, organic phosphorus, dissolved phosphorus and temperature, were basically within error limit of 20%, which validated the validity of the model.Fifthly, coupled with the current pollution status of Jinhe River and the production of the model, feasible quantitative measures were put forward.The study not only can predict water quality of Jinhe River and provide scientific proof to making decisions to the optimization to treatment techniques, water quality management and planning, but also can provide feasibility argumentation for water pollution prevention and cure measures.