These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
158 related articles for article (PubMed ID: 37643676)
21. Spatio-temporal evaluation of the urban agglomeration expansion in the middle reaches of the Yangtze River and its impact on ecological lands. Zheng Z; Qingyun H Sci Total Environ; 2021 Oct; 790():148150. PubMed ID: 34380274 [TBL] [Abstract][Full Text] [Related]
22. [Spatiotemporal variation and obstacle factor diagnosis of resource and environment carrying capacity of Lanzhou-Xining urban agglomeration in the upper Yellow River, Nothwest China]. Zhang WP; Shi PJ; Zhao WS; Huang WZ Ying Yong Sheng Tai Xue Bao; 2022 Sep; 33(9):2501-2510. PubMed ID: 36131667 [TBL] [Abstract][Full Text] [Related]
23. Measuring the urban land use efficiency of three urban agglomerations in China under carbon emissions. Lu X; Zhang Y; Li J; Duan K Environ Sci Pollut Res Int; 2022 May; 29(24):36443-36474. PubMed ID: 35064500 [TBL] [Abstract][Full Text] [Related]
24. A multi-scale assessment of ecosystem health based on the Pressure-State-Response framework: a case in the Middle Reaches of the Yangtze River Urban Agglomerations, China. Chen W Environ Sci Pollut Res Int; 2022 Apr; 29(19):29202-29219. PubMed ID: 34993774 [TBL] [Abstract][Full Text] [Related]
25. Spatiotemporal Evolution and Regional Differences in the Production-Living-Ecological Space of the Urban Agglomeration in the Middle Reaches of the Yangtze River. Zhao Y; Cheng J; Zhu Y; Zhao Y Int J Environ Res Public Health; 2021 Nov; 18(23):. PubMed ID: 34886223 [TBL] [Abstract][Full Text] [Related]
26. Spatiotemporal variations of ambient air pollutants and meteorological influences over typical urban agglomerations in China during the COVID-19 lockdown. Fan L; Fu S; Wang X; Fu Q; Jia H; Xu H; Qin G; Hu X; Cheng J J Environ Sci (China); 2021 Aug; 106():26-38. PubMed ID: 34210437 [TBL] [Abstract][Full Text] [Related]
27. Spatial Disparity and Influencing Factors of Coupling Coordination Development of Economy-Environment-Tourism-Traffic: A Case Study in the Middle Reaches of Yangtze River Urban Agglomerations. Chen Q; Bi Y; Li J Int J Environ Res Public Health; 2021 Jul; 18(15):. PubMed ID: 34360238 [TBL] [Abstract][Full Text] [Related]
28. Effects measurement and spatial differentiation in synergy between pollution and carbon reduction in national urban agglomerations. Feng P; Lu T; Yu Y; Gao R; Ni T PLoS One; 2023; 18(9):e0289801. PubMed ID: 37733778 [TBL] [Abstract][Full Text] [Related]
29. Urban expansion patterns and their driving forces analysis: a comparison between Chengdu-Chongqing and Middle Reaches of Yangtze River urban agglomerations. Wu D; Zheng L; Wang Y; Gong J; Li J; Chen Q Environ Monit Assess; 2023 Aug; 195(9):1121. PubMed ID: 37650934 [TBL] [Abstract][Full Text] [Related]
30. The vulnerability assessment and obstacle factor analysis of urban agglomeration along the Yellow River in China from the perspective of production-living-ecological space. Yang L; Meng H; Wang J; Wu Y; Zhao Z PLoS One; 2024; 19(4):e0299729. PubMed ID: 38578727 [TBL] [Abstract][Full Text] [Related]
31. Spatiotemporal patterns of recent PM Shen Y; Zhang L; Fang X; Ji H; Li X; Zhao Z Sci Total Environ; 2019 Mar; 655():13-26. PubMed ID: 30469058 [TBL] [Abstract][Full Text] [Related]
32. The Spatiotemporal Distribution and Drivers of Urban Carbon Emission Efficiency: The Role of Technological Innovation. Zheng R; Cheng Y; Liu H; Chen W; Chen X; Wang Y Int J Environ Res Public Health; 2022 Jul; 19(15):. PubMed ID: 35897474 [TBL] [Abstract][Full Text] [Related]
33. Spatial-temporal evolution and driving factors of rural resilience in the urban agglomerations in the middle reaches of the Yangtze River, China. Wang X; Peng W; Xiong H Environ Sci Pollut Res Int; 2024 Apr; 31(17):25076-25095. PubMed ID: 38462568 [TBL] [Abstract][Full Text] [Related]
34. Have regional coordinated development policies promoted urban carbon emission efficiency?-the evidence from the urban agglomerations in the middle reaches of the Yangtze River. Wang T; Li H Environ Sci Pollut Res Int; 2023 Mar; 30(14):39618-39636. PubMed ID: 36598721 [TBL] [Abstract][Full Text] [Related]
35. An integrated assessment on the warming effects of urbanization and agriculture in highly developed urban agglomerations of China. Yan Z; Zhou D; Li Y; Zhang L Sci Total Environ; 2022 Jan; 804():150119. PubMed ID: 34517325 [TBL] [Abstract][Full Text] [Related]
36. Scenario Modeling of Urbanization Development and Water Scarcity Based on System Dynamics: A Case Study of Beijing-Tianjin-Hebei Urban Agglomeration, China. Bao C; He D Int J Environ Res Public Health; 2019 Oct; 16(20):. PubMed ID: 31614485 [TBL] [Abstract][Full Text] [Related]
37. Analysis of the Spatiotemporal Evolution of the Net Carbon Sink Efficiency and Its Influencing Factors at the City Level in Three Major Urban Agglomerations in China. Shen S; Wu C; Gai Z; Fan C Int J Environ Res Public Health; 2023 Jan; 20(2):. PubMed ID: 36673923 [TBL] [Abstract][Full Text] [Related]
38. Spatio-temporal variation and daily prediction of PM Yan D; Kong Y; Ye B; Xiang H Environ Geochem Health; 2021 Jan; 43(1):301-316. PubMed ID: 32901402 [TBL] [Abstract][Full Text] [Related]
39. Impact of weather and emission changes on NO Shen Y; Jiang F; Feng S; Zheng Y; Cai Z; Lyu X Environ Pollut; 2021 Jan; 269():116163. PubMed ID: 33280908 [TBL] [Abstract][Full Text] [Related]
40. Spatial and temporal distribution of population in urban agglomerations changes in China. Lyu Y; Jiang F Sci Rep; 2022 May; 12(1):8315. PubMed ID: 35585107 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]