An Optimal Investment Policy to Control the Land-based Water Pollutant into the Sea of Japan

Northeast Asia countries (e.g. around the Sea of Japan area) cooperate in economic and environmental policies, etc., because the comprehensive problems like the climate change and global warming occur in recent years. The ring Sea of Japan area consists of Japan, Republic of Korea, China, and Far East Russia in Northeast Asia, and the countries have to join forces in order to control the ocean environment and attain the sustainable development in the region. In this study, we try to evaluate the policy measure to control the land-based water pollutant into the Sea of Japan through a system simulation approach. The system simulation model is formulated a definition of an objective function and the structure of water pollutants inflow and the socio-economic system of the target countries and regions of the ring Sea of Japan. We present an optimal international policy for environmental investment taking account of economic situations and environmental influences of this area over a certain period of time through the dynamic simulation.

Synthesized technical and socio-economic efficient evaluation of water quality improving devices and technologies: an example of the lake Kasumigaura Basin

In this study, we analyze an optimal policy and evaluate new devices and technologies to improve the water quality of Lake Kasumigaura, considering both - the total ecological system in and around the lake and the socio-economic situational changes over a certain period of time. The optimal policies are derived so as to maximize the objective function (GRP) subject to the structural equations, which describe both the ecosystem and socio-economic system.

Synthesized technical and socio-economic efficient evaluation of water quality improving devices and technologies: an example of the lake Kasumigaura Basin

In this study, we analyze an optimal policy and evaluate new devices and technologies to improve the water quality of Lake Kasumigaura, considering both - the total ecological system in and around the lake and the socio-economic situational changes over a certain period of time. The optimal policies are derived so as to maximize the objective function (GRP) subject to the structural equations, which describe both the ecosystem and socio-economic system

Comprehensive watershed management policies for treatment of stockbreeding wastes and reduction of green house gas emission in the Dian Chi Lake, China

Pollutants emitted by pollution generation sources do not only deteriorate the water quality, but the emissions of greenhouse gas also contribute to the green house effect. Material balance of biomass wastes shows there is a trade-off between water pollution and global warming. Therefore, in dealing with the water pollution problems, we also need to adopt methods to decrease greenhouse gas. In this study, we constructed a dynamic linear mathematical model to describe the interrelationships between environmental and socioeconomic indicators and variables. A computer simulation approach was used to make comprehensive environmental policies and to evaluate the most cost effective measures to effectively improve the water quality with the introduction of a biomass recycle plant to control air and water pollutant emissions, as well as generate electric energy. The purpose of this study was to determine the optimum policies to protect the water quality, reduce of green house gas emissions and the develop the local economy as a win-win situation. The simulations were run with the computer-based programming software called LINGO

An Optimal Investment Policy to Control the Land-based Water Pollutant into the Sea of Japan

Northeast Asia countries (e.g. around the Sea of Japan area) cooperate in economic and environmental policies, etc., because the comprehensive problems like the climate change and global warming occur in recent years. The ring Sea of Japan area consists of Japan, Republic of Korea, China, and Far East Russia in Northeast Asia, and the countries have to join forces in order to control the ocean environment and attain the sustainable development in the region. In this study, we try to evaluate the policy measure to control the land-based water pollutant into the Sea of Japan through a system simulation approach. The system simulation model is formulated a definition of an objective function and the structure of water pollutants inflow and the socio-economic system of the target countries and regions of the ring Sea of Japan. We present an optimal international policy for environmental investment taking account of economic situations and environmental influences of this area over a certain period of time through the dynamic simulation

Comprehensive Evaluation of Environmental Policy for Water Pollutants and Greenhouse Gases Reduction in Jiaxing city, China

Recently, various environmental problems have been generated with the rapid economic development in China. That’s because China currently over-emphasized economic development beyond environmental issues; therefore, now it is important to enforce optimal environmental policies in order to achieve economic development as well as environmental improvement. In this study, we selected Jiaxing city as research area for that the environmental pollution problem has become prominent with economic high growth, and we constructed environmental system model and social economic model to establish the scenarios. Through computer simulation, we can evaluate the efficiency of the comprehensive environmental policies from both environmental preservation and social economic development aspects. While the social-economic model shows the socioeconomic activities which are vital events, fortune and service, such as production, finance and budget; the environmental system model shows the water pollutants and the greenhouse gas movement in the region. The dynamic optimization simulation is accomplished based on this environmental and socio-economic system model. In view of the restriction on water pollutants, greenhouse gas total exhausted amount, and economic activity in the catchment area, the simulation we practiced can provide concrete inner-generating optimal policies which can achieve the best economic and environment improvement with the consideration of policy, regional and timing choice in Jiaxing City, China.

The Simulation Analysis of Optimal Policy Including Introduction of Biomass Plant Technology for Decreasing Water Pollutions in Jiaxing City, China

In the study, we proposed the environmental policies to decrease water pollutants that generate from household, non-point and production in Jiaxing city of China. We especially introduced biomass plant technology for pig farming industry in order to improve the water environment. We constructed environmental model and social economic model by computer simulation that evaluated the efficiency of biomass plant technology from both water environmental preservation and social economic development. The research established the significance and feasibility of introducing biomass plant technology that allows simultaneous pursuit of environmental improvement and regional development. The comprehensive evaluation and optimal policies are expected to form the basis of decision-making in Jiaxing city

Comprehensive Evaluation of Environmental Policy for Water Pollutants and Greenhouse Gases Reduction in Jiaxing city, China

Recently, various environmental problems have been generated with the rapid economic development in China. That's because China currently over-emphasized economic development beyond environmental issues; therefore, now it is important to enforce optimal environmental policies in order to achieve economic development as well as environmental improvement. In this study, we selected Jiaxing city as research area for that the environmental pollution problem has become prominent with economic high growth, and we constructed environmental system model and social economic model to establish the scenarios. Through computer simulation, we can evaluate the efficiency of the comprehensive environmental policies from both environmental preservation and social economic development aspects. While the social-economic model shows the socioeconomic activities which are vital events, fortune and service, such as production, finance and budget; the environmental system model shows the water pollutants and the greenhouse gas movement in the region. The dynamic optimization simulation is accomplished based on this environmental and socio-economic system model. In view of the restriction on water pollutants, greenhouse gas total exhausted amount, and economic activity in the catchment area, the simulation we practiced can provide concrete inner-generating optimal policies which can achieve the best economic and environment improvement with the consideration of policy, regional and timing choice in Jiaxing City, China

Endogenous Derivation of Optimal Environmental Policies for Proper Treatment of Stockbreeding Wastes in the Upstream Region of Miyun Reservoir, Beijing

Stockbreeding industries are increasing rapidly in rural areas around big cities in China, especially the rural areas around Beijing. This increase carries high risks to the environment due to emissions of large amounts of pollutants in terms of COD (chemical oxygen demand), T-N (total nitrogen) and T-P (total phosphorus) as well as greenhouse gases to rivers and the atmosphere. On the other hand, stockbreeding wastes are a typical biomass resource and can be used as an energy source by advanced new technologies. In this study, we selected Miyun County of Beijing and focused on analyzing the synthetic environmental management policies by computer simulation including the introduction of two new technologies to improve the environment and provide more biomass energy. The model considered both the total ecological system of the objective region and the social-economic situational changes during a ten year period from 2007 to 2016. The basic aim of this article has been to develop a dynamic liner model, and to verify it through carrying out simulations in order to evaluate the possibility and feasibility to introduce new technologies into rural areas around big cities in China and research the arrangement of the new technologies to realize effective utilization of stockbreeding biomass resource. When we adopted the policy to introduce two new technologies, the policy was a very effective tool to reduce environmental pollutants in all simulations. The introduction of two new technologies raised the level of economic growth by 10% as compared to not adopting the new technologies policy. When the two new technologies were introduced, the objective value (total T-N) showed a reduction of about 13% as compared to not adopting the new technologies. The purpose of our research is to establish effective utilization methods for biomass resources as well as coordinate resource reutilization, environmental preservation and economic development, and finally realize sustainable development of the society

Sustainability Prediction Model for Capital City Relocation in Indonesia Based on Inclusive Wealth and System Dynamics

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