Research On Multi-Objective Optimization Of Coordinated Development Between Environment And Industrial Structure

This paper divides environment-industry coordinated development system into environment subsystem and industry subsystem. The former includes water environment and atmospheric environment. Environment pollutants contain water, atmospheric pollutant and solid waste. The later means industrial structure mainly. Economic activities will discharge all kinds of pollutants to affect the environment quality and at the same time it has to proceed under the restrict of water resources. So water resources need optimizing and the results of configuration can be restrictive constraints of industrial structure optimization.With regard to the water environment system, considering uncertainties in actual water supply volume and water supply capacity, interval variables are introduced into the model. Coordinated development constraint is added to describe the coordinated development degree between water resources and economic growth. An interval nonlinear multi-objectives water resources optimization model is established by setting economic benefit, environmental benefit and social benefit as objective functions. On the basis of the possibility degree of interval number, the model is transformed into a deterministic nesting optimization problem which is solved by a nesting optimization program based on differential evolution algorithm. Allocation schemes of water resources in Dongying are obtained combining actual data and unknown variables which are gained through prediction.As for industry subsystem, this dissertation explains practical significance about viewing pollutant emission and energy consumption as stochastic variables. Considering the actual situation that there has excess production capacity in some industries at present, the dissertation introduces balance between supply and demand as one of objectives into the industrial structure optimization model. So a multi-objective dynamic stochastic industrial structure optimization model is established by setting economic growth, full employment, pollutant control and balance between supply and demand as objective functions. The results of water resources optimization model are regarded as restrictive constraint conditions to guarantee the feasibility of industrial structure optimization results. Stochastic programming is used to handle the stochastic variables in the model which solves the uncertainty problems in environmental pollution and energy consumption. By analyzing industrial structure status quo of Dongying, the paper points out the difference of industrial structure between Dongying and the developed countries. Also, relationships between the present industrial structure and energy consumption and pollutant emission are analyzed. In actual calculation, direct consumption coefficient matrix and investment coefficient matrix are revised. Results of the model show that the present economic growth pattern is based on sacrificing natural resources and environment quality. Assuming technique, management level etc. unchanged, the industrial structure optimization will slow down rate of economic growth to assign resources more reasonably. By 2018, the GDP growth will be above 10%.The environmental Kuznets curve of Dongying is drawn according to the results of industrial structure optimization model and discharge amounts of sulfur dioxide, nitric oxide and smoke dust. Fitting results show that there is an inverse N curve between GDPpc and air comprehensive pollution index, which indicate that through industrial structure optimization, the air quality can realize the transform from deteriorating to improving.On the basis of the results of water resources and industrial structure optimization model, coordinated development degrees between environment and industry in Dongying are computed through choosing indexes of environment-industry coordinated development system. According to the paper's optimization results, coordinated development degrees between environment and industry is 0.745 in 2020, which lies in the phase of comparative coordination. So the government should insist on industrial structure optimization and enterprises are supposed to reequip and improve technology etc. to cut down on energy consumption and pollutant emission to achieve the goal of very coordination.