5. Conclusions
Developed based on establishing an integrated system containing
environmental, socioeconomic and energy systems, the
DOSM formed an OPC to accomplish joint control ofwater pollutant
discharge along with industrial restructuring, with minimum
negative influence on GRP. Development trend in each industrial
sector and water pollutant discharged from each source can be
investigated providing necessary information for clarifying the
interrelation between water environment and social economy. Industrial
restructuring and the OPC jointly contribute to the
achievement of WPD reduction targets with the former contributing
to 38.37% of total TN reduction, the latter contributing 40.52%
and 57.21% of total TP and COD reduction respectively. Details of the
subsidies utilized to promote policy implementation have been
specified by the model including the sources, amount and allocation.
The amount of water pollutants removed by each policy or
technology has been determined based on corresponding subsidies.
Within the framework of energy balance, biomass energy
production and supply also have been presented. Sustainable
development of the target area with simultaneous pursuit of economic
development and environmental preservation can be
expected.
It has been demonstrated that the introduction of various
applicable policies and technologies for different pollution sources
can improve the water pollutant reduction efficiency of the OPC.
Industrial restructuring, application of policies and technologies
and government regulations have effects on the simulation results
making it crucial to propose and organize these factors scientifically.
More specific industrial classification supported by sufficient
data can elaborate industrial distinctions in WPD and technology
application.
The model proposed is robust in the case that once necessary
data and parameters have been input, the model will give an
optimal solution as a result of comprehensive evaluation of all the
possible technologies and policies, which can contribute to better
informed policy-making and development of specific plans for
regional sustainable development. Not confined in the application
in water pollution control, the methodology also can be applied to
other global environmental problems such as control of air pollution
and greenhouse gas emission as well as renewable energy
development, related to social economy.
5. ConclusionsDeveloped based on establishing an integrated system containingenvironmental, socioeconomic and energy systems, theDOSM formed an OPC to accomplish joint control ofwater pollutantdischarge along with industrial restructuring, with minimumnegative influence on GRP. Development trend in each industrialsector and water pollutant discharged from each source can beinvestigated providing necessary information for clarifying theinterrelation between water environment and social economy. Industrialrestructuring and the OPC jointly contribute to theachievement of WPD reduction targets with the former contributingto 38.37% of total TN reduction, the latter contributing 40.52%and 57.21% of total TP and COD reduction respectively. Details of thesubsidies utilized to promote policy implementation have beenspecified by the model including the sources, amount and allocation.The amount of water pollutants removed by each policy ortechnology has been determined based on corresponding subsidies.Within the framework of energy balance, biomass energyproduction and supply also have been presented. Sustainabledevelopment of the target area with simultaneous pursuit of economicdevelopment and environmental preservation can beexpected.It has been demonstrated that the introduction of variousapplicable policies and technologies for different pollution sourcescan improve the water pollutant reduction efficiency of the OPC.Industrial restructuring, application of policies and technologiesand government regulations have effects on the simulation resultsmaking it crucial to propose and organize these factors scientifically.More specific industrial classification supported by sufficientdata can elaborate industrial distinctions in WPD and technologyapplication.The model proposed is robust in the case that once necessarydata and parameters have been input, the model will give anoptimal solution as a result of comprehensive evaluation of all thepossible technologies and policies, which can contribute to betterinformed policy-making and development of specific plans forregional sustainable development. Not confined in the applicationin water pollution control, the methodology also can be applied toother global environmental problems such as control of air pollutionand greenhouse gas emission as well as renewable energydevelopment, related to social economy.
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