Issue |
E3S Web Conf.
Volume 293, 2021
2021 3rd Global Conference on Ecological Environment and Civil Engineering (GCEECE 2021)
|
|
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Article Number | 01017 | |
Number of page(s) | 4 | |
Section | Ecological Environment Protection and Pollution Control | |
DOI | https://doi.org/10.1051/e3sconf/202129301017 | |
Published online | 23 July 2021 |
Research on Evaluation of Ecological Carrying Capacity of Qinghai Province Based on PSR Model
1 College of Civil Engineering, Qinghai University, Xining, Qinghai, 810016, China
2 Qinghai Provincial Key Laboratory of Energy-saving Building Materials and Engineering Safety, Xining, Qinghai, 810016, China
* Corresponding author's e-mail: jiahf2014@qhu.edu.cn
Quantitative research and evaluation of ecological carrying capacity in Qinghai Province is in line with the requirements of the 13th five-year plan, and is of practical significance to the construction of ecological civilization in Qinghai Province. Based on the PSR model, this paper constructs the evaluation index system of ecological carrying capacity from three aspects of pressure, state ,and response, uses the entropy method to determine the index weight coefficient, and comprehensively evaluates the changing trend of ecological carrying capacity since the 12th Five Year Plan of Qinghai Province from the perspectives of economy, society, resources, and environment. The results show that: from 2011 to 2019, the comprehensive evaluation of ecological carrying capacity in Qinghai Province shows a trend of first decreasing and then increasing, the response index evaluation increases greatly, the state index evaluation shows a fluctuating growth, and the pressure index is relatively stable. Based on this, the PSR model and entropy method are typical and quantifiable, which can provide a reference for Qinghai provincial government to control the ecological environment, study ecological sustainability and delimit the ecological red line.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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