Coupling and metabolic analysis of urbanization and environment between two resource-based cities in North China
文献类型:期刊论文
作者 | Chen, Hao1; Xu, Linyu2; Cao, Qingqing3; Huang, Miansong4; Song, Minghua5![]() |
刊名 | PEERJ
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出版日期 | 2019-05-02 |
卷号 | 7页码:27 |
关键词 | Urbanization Metabolism Coupling Emergy Environmental loading ratio |
ISSN号 | 2167-8359 |
DOI | 10.7717/peerj.6869 |
通讯作者 | Liu, Jian(ecology@sdu.edu.cn) |
英文摘要 | Background. The complex relationship between urbanization and environment in resource-based cities is of increasing concern. Methods. As typical examples of rapid economic growth, obvious urbanization, and successful transformed production models, the cities of Dongying and Binzhou in Yellow River Delta High-tech Economic Zone were chosen for research. First, this study examines the coupling relationship between urbanization and the environment over the last seventeen years using the coupling degree model. Second, the emergy analysis method is used to further study the energy metabolism and environmental load in the two cities to reveal these couplings. Results. Dongying and Binzhou were well-coupled and the coupling coordination degree was in the stage of mild coordination coupling showing an upward trend. The total metabolic energy of the two cities increased yearly from 2000 to 2016, and the emergy extroversion ratio data showed the cities' dependence on external elements such as continuously increased imported resources. The total emergy used in the two cities showed an upward trend during 2000 and 2016, while the emergy per capita consumption increased significantly, suggesting that the society's energy efficiency improved. During the same period, the environmental loading ratio increased gradually, and the elements causing the environmental load shifted from internal to external. Discussion. The study shows that the factors of environmental load in developing cities are gradually shifting from internal to external, which is vital to understanding the impact of urban transformation and upgrading of resource-based cities on the environment. |
WOS关键词 | EMERGY ANALYSIS ; URBAN METABOLISM ; INTEGRATED APPROACH ; REGION ; ENERGY ; COORDINATION ; EFFICIENCY ; SYSTEM |
资助项目 | National Key R&D Program of China[2017YFC0505905] ; Natural Science Foundation of Shandong Province,China[ZR2017MC013] ; Natural Science Foundation of Shandong Province,China[ZR2014CM032] ; Research Program for Key Technologies of Sponge City Construction and Management in Guyuan City[SCHM-2018] |
WOS研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
WOS记录号 | WOS:000466458700005 |
出版者 | PEERJ INC |
资助机构 | National Key R&D Program of China ; Natural Science Foundation of Shandong Province,China ; Research Program for Key Technologies of Sponge City Construction and Management in Guyuan City |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/68632] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Liu, Jian |
作者单位 | 1.Shandong Univ, Inst Environm Res, Qingdao, Shandong, Peoples R China 2.Beijing Normal Univ, Sch Environm, State Key Lab Environm Simulat & Pollut Control, Beijing, Peoples R China 3.Shandong Jianzhu Univ, Sch Architecture & Urban Planning, Jinan, Shandong, Peoples R China 4.Ningxia Capital Sponge City Construct & Dev Co Lt, Guyuan, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China 6.Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Chen, Hao,Xu, Linyu,Cao, Qingqing,et al. Coupling and metabolic analysis of urbanization and environment between two resource-based cities in North China[J]. PEERJ,2019,7:27. |
APA | Chen, Hao.,Xu, Linyu.,Cao, Qingqing.,Huang, Miansong.,Song, Minghua.,...&Liu, Jian.(2019).Coupling and metabolic analysis of urbanization and environment between two resource-based cities in North China.PEERJ,7,27. |
MLA | Chen, Hao,et al."Coupling and metabolic analysis of urbanization and environment between two resource-based cities in North China".PEERJ 7(2019):27. |
入库方式: OAI收割
来源:地理科学与资源研究所
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