Abstract
Based on the principles of fairness and feasibility, a nonlinear optimization allocation method for pollutants was developed based on controlled section water quality standards, considering the synergetic influence of point and surface sources. The maximum allowable emission of pollutants from point and surface sources were taken as the objective function. The water quality attainment rate of controlled sections, the control requirements of pollution sources, and technical parameters of pollution control engineering were taken as constraints. A nonlinear optimization allocation model was established, and a genetic algorithm was used to solve the problem. As an example, the model was applied to a certain area in the Taihu Lake basin, southern Jiangsu province, China. The analysis results showed that the annual number of days for ammonia-nitrogen and total phosphorus meeting the standard were 334 and 332 days, respectively, under maximum allowable emissions for each pollutant, and the water quality compliance rates of the control section were 91.5% and 91%, respectively. The ammonia-nitrogen and total phosphorus concentrations in the controlled section achieved related water quality compliance rate targets of 90%. These all met the water quality compliance rate requirements of the control section. The results indicate that this method reflects the feasibility of optimizing the total allocation results systematically and intuitively, overcomes the insufficiency in the feasibility of the optimized allocation method, and provides effective and reliable technical support for control and management of the total pollutant amount based on water quality improvement.
Highlights
Total pollutant allocation is the process of allocating regional allowable pollutant discharge to each point and non-point source in accordance with certain principles.It is the core component in total pollutant volume control technology systems.As a prerequisite to guide total pollutant allocation, water environment capacity calculation is one of the key techniques
Where P{} is the probability of the event being established; αf is the water quality requirements; Xi is decision variables representing the quantity of the i-th pollution sources discharged into the river; αi is the response coefficient, which indicates the effect of the i-th pollution source on the control section; Cs is the water quality control concentration standard value of the constrained control section; and CB is the response concentration of upland water of the control section
It was the basis for calculation of water environment capacity and distribution of total pollutants based on water quality in the controlled section
Summary
Total pollutant allocation is the process of allocating regional allowable pollutant discharge (water environment capacity) to each point and non-point source in accordance with certain principles. There are relatively few studies on the calculation of pollution loads that include non-point sources, especially in tidal river network areas [1,2]. Based on regional compulsive administrative requirements (e.g., the water quality standards of the control section and the discharge reduction rate) and pollution treatment technology, this paper established a nonlinear optimal distribution model considering the synergetic influence of point and non-point sources. Total optimal pollutant allocation in a tidal river network area is studied This optimal allocation model has the potential to overcome insufficient feasibility of the traditional optimized allocation method, and it can provide effective and reliable technical support for control and management of total pollutant loads based on water quality compliance rates
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