Taiyuan Research Institute of Environmental science

Taiyuan, China

Taiyuan Research Institute of Environmental science

Taiyuan, China

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Zhai Y.,Chinese Research Academy of Environmental Sciences | Zhai Y.,Taiyuan Research Institute of Environmental science | Wang L.,Chinese Research Academy of Environmental Sciences | Zheng B.,Chinese Research Academy of Environmental Sciences | And 2 more authors.
Research of Environmental Sciences | Year: 2015

In view of the inadequate consideration of temporal and spatial heterogeneity in current Ecological Carrying Capacity (ECC) assessments, a system dynamic (SD) model was introduced in the present study. Focusing on the key indicators of ECC, simulation and prediction for each control unit in Three Gorges Reservoir (TGR) Area was completed. Using comprehensive evaluation method of ECC, dynamic evaluation for different control units was realized. The results showed that: 1) The TGR ECC index was 0.55 in 2010, showing a weak bearing state. According to the analysis of constraint factors, the ECCs of two control units, namely Chongqing City of Yangtze-Jialing River control unit and Fuling-Wanzhou district of Yangtze River control unit, were mainly limited by resource and environment elements. However, those of the other three control units, namely Kaixian County of Pengxi River control unit, Yunyang-Wushan county of Yangtze River control unit and Enshi-Yichang City of Yangtze River control unit, were more subject to social and economic elements. 2) Under the scenario of maintaining existing development trends, the TGR ECC index was within 0.48-0.57 from 2010-2025. It was on the whole still in the weak bearing state, but the index would first increase and then decrease, with a break point in 2015. In particular, the ECCs of the two control units limited by resource and environment elements would decrease after 2015. The ECCs of the other three control units limited by social and economic elements would continue to increase after 2015. 3) Under the scenario of implementing an integrated control program, the TGR ECC index would reach 0.60 in 2015, showing an improvement from weak bearing state to basic bearing state. In 2018, all control units would be in the basic bearing state, with the index varying from 0.60 to 0.76. This proves the effectiveness of the control program for each control unit in population, economy, environment and resources factors. ©, 2015, Editorial department of Molecular Catalysis. All right reserved.


Jiang Q.-J.,Taiyuan Research Institute of Environmental science | Li Y.-Y.,Taiyuan Research Institute of Environmental science | Hu X.-X.,Taiyuan Research Institute of Environmental science | Lu B.,Taiyuan Research Institute of Environmental science | And 2 more authors.
Zhongguo Huanjing Kexue/China Environmental Science | Year: 2013

Sixteen types of polycyclic aromatic hydrocarbons (PAHs) were included in the priority control pollutants listed by the U.S. Environmental Protection Agency (US EPA). Herein, the emission rates and emission sources of these 16 PAHs in Taiyuan city were investigated. Results showed that the overall emission amount of the 16 PAHs in the year of 2010 in Taiyuan was 332.10t, in which 35.11t was identified as carcinogenic PAHs. Most of the PAHs were generated from the combustion of household coal and coke-production coal, accounting for 65% of the total emission amount. Among the emissions of 16 PAHs, less-ring PAHs were the majority (81%) while the carcinogenic PAHs only accounted for 10.6%. For the different districts (10 in total) in Taiyuan, the PAHs emitted from Qingxu were 87t/a, greatly more than that from Gujiao (54t/a), Jinyuan (44t/a), and Jiancaoping (40t/a). In general, there were a negative correlation between per capita income and per GDP emissions of PAHs (R2=0.727), and a positive correlation between the rural population and total PAHs emissions (R2=0.813). It was concluded that the heavy PAHs emission in Taiyuan was attributed to excessive combustion of coal for the household and industry and unique energy structure and special population in the countryside.

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