Jing Hua Sha
China University of Geosciences
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Featured researches published by Jing Hua Sha.
Advanced Materials Research | 2013
Guo Feng Zhang; Tun Yen Wang; Takeshi Mizunoya; Helmut Yabar; Jing Jing Yan; Jing Hua Sha; Yoshiro Higano
The purpose of this paper is to construct a dynamic comprehensive optimization simulation model to forecast the net load of water pollutant and economic growth rate of Beijing. Our results propose an optimal policy for helping to achieve the goal of sustainable development. We performed a linear optimization modeling by using LINGO software to simulate a socio-economic model and an environmental model with input-output table. The socio-economic model represents the relationship between socio-economic activities and water pollutant emissions. The environmental model represents the changes in the amount of water pollutants generated.
Advanced Materials Research | 2013
Wen Lan Ke; Jing Hua Sha; Guo Feng Zhang; Jing Jing Yan
An overview on the current situation of economic, resource and environmental system in Ordos city shows that there exist some problems, such as wealth gap, irrational industrial structure, pressures on resources exploitation and environmental pollution. The economic development in Ordos depends on coal resource while the exploitation results in water shortage and environmental pollution. In order to realize the sustainable development of ecological economic system, a system dynamics model, which coordinates the subsystems of economy, resources and environment, is constructed and resource utilization efficiency, environmental protection and economical development are considered as systemic parameters to forecast the development trend of Ordos. Then, sustainability of four development modes are compared via setting its control parameters together with a introduced resource-environment loss rate. Finally, we make a conclusion that the Harmonious development-oriented mode makes the GDP growing moderately and the economic losses of resources and environment destruction are under control and the losses decrease gradually, realizing the benign balance between the economic benefit and ecological benefit.
Applied Mechanics and Materials | 2015
Xu Li; Jing Hua Sha; Jing Jing Yan; Guo Feng Zhang
A dynamic comprehensive simulation model is constructed to evaluate the economic and environmental impact of reclaimed water utilization. One objective function and three sub-model is consisted the simulation model. Lingo software is used to solve this model. The simulation result shows that the utilization of reclaimed water is a feasible approach to the achievement of the water pollutant reduction and economic development.
Applied Mechanics and Materials | 2013
Guo Feng Zhang; Tun Yen Wang; Takeshi Mizunoya; Helmut Yabar; Jing Jing Yan; Jing Hua Sha; Yoshiro Higano
In this study, the impact of introducing new sewage treatment technologies as a new policy is evaluated. The purpose of this study is to construct a comprehensive dynamic optimization model on forecasts for the net load of water pollutant and economic growth of Beijing. Therefore, a comprehensive evaluation modeling was conducted using software LINGO to perform the linear optimization model, based on tow sub-models (socio-economic model and an environmental model) and one objective (Min TQP). The socio-economic model is based on input-output table and represents the relationship between socio-economic activities and water pollutant emissions. The environmental model represents the changes in the amount of water pollutants generated. Our results propose an optimal policy for helping Beijing City to achieve the goal of sustainable development.
Advanced Materials Research | 2013
Xi Ping Pan; Jing Hua Sha; Yan Shuang She
Most urban planning policies are affected by the industrial structure. This paper gave a positive and comparative analysis on the industrial structure transformation ability and transformation direction of the thirty-one provincial level divisions in China by using principal component analysis, based on theories of regional economic development and industrial economics. The results show that Beijing, Shanghai, Guangdong, Jiangsu, Zhejiang and Shandong have strong industrial structure transformation ability and the industrial transformation direction is in the tertiary industry except for Guangdong, Jiangsu and Shandong. The industrial structure transformation ability over the thirty-one regions exhibits a decreasing trend from the eastern coastal area to the west inland. The sequence of industry structure transformation direction is from the first industry to the second and then to the tertiary for China.
Advanced Materials Research | 2013
Hong Liang Zhang; Bo He; Jing Hua Sha
Based on concepts and characteristics of sanzi, this paper clarified the logic relationship among sanzi, and it pointed out that mineral resources have both characteristics of nature and society, and that assets-lized control is caused by scarcity of resources; and this paper argued that old concept of mineral resources should be transformed, and the assets nature of resources-assets and associated social resources be admitted; it also argued that sanzi integration management should not be limited to resources management, but be broadened into mining industry management; it at last explained that mining enterprises should be the carrier of sanzi integration operation. Therefore, based on analytical framework created from basic theories of economics and management, the logic relationship among sanzi can be deduced and described as game relationship among government, enterprises, communities, and other interest related parties in mining industry.
Advanced Materials Research | 2012
Nan Xiang; Feng Xu; Jing Hua Sha; Helmut Yabar; Yoshiro Higano
Water shortage and water pollution problems are becoming more and more serious nowadays; it gives rise to the use of reclaimed wastewater as an additional source of water supply and an efficient method of reducing and preventing water pollution. Tianjin is a rapidly growing city in both population and economy while water scarcity is intensifying and water pollution is deteriorating; also reclaimed water reuse in this city has just started. This study aims to find out the potential to realize sustainable development utilizing reclaimed water, and prove the feasibility of local government plan of Tianjin. This study mainly utilizes computer simulation to accomplish the comprehensive evaluation with LINGO programming. The simulation model will forecast the social and economic developing trend of Tianjin with the introduction of developed technology. According to scenarios, this research can give policy-making basis on implementing reclaimed water utilization to realize environment and economic development in Tianjin from 2010 to 2020. Furthermore, it can provide the specific developing plan to establish the sustainable development target, such as construction plan of new sewage plants, financial support, and reclaimed water distribution. Simulation results show that reclaimed water can be effective in saving water resource, reducing water pollutant and improving economic development in the catchment area.
Advanced Materials Research | 2012
Yan Shuang She; Meng Gang Li; Jing Hua Sha
The sustainable development of resource-based cities is a hot issue in China. This paper will focus on the industrial structure of sustainable development. There is close relationship between regional economic development and industrial structure transformation Capacity. Comparison research of cities’ regional industrial structure capacity will help to understand variation status and potential of regional industrial structures. With principal components analysis, this paper based on the regional industrial structure comparison theory, analyzed industrial structure transformation Capacity of 20 resource-based cities in China west. It will provide references for promoting optimization and upgrading of regional industrial structure, making regional industrial development strategy, improving environmental conditions, and enhancing local economic development.
Advanced Materials Research | 2014
Nan Wang; Jing Hua Sha
Advanced Materials Research | 2014
Nan Wang; Jing Hua Sha