Results 151 to 160 of about 6,804 (197)

Mitigation of human activity impacts on habitat quality in the Chengdu-Chongqing urban agglomeration. [PDF]

Sci Rep
Wan L, Ling L, Xie P, Long J, Rong J, Bai X, Yu Y.   +6 more
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Study on stress response and collapse mechanism induced by shallow-buried defective pipelines in river alluvial plains. [PDF]

Sci Rep
Zhu Q, Shen Y, Han C, Wu G, Li Y.
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Spatial correlations between summer ozone heatwave dual events and residents mental health in China. [PDF]

Sci Rep
Zeng R, Zhao J, Hu Y, Chu L, Du S, Zheng C, He C.   +6 more
europepmc   +1 more source

Unveiling the influence pathways of the evolution of human-nature relationships in the Yangtze river delta urban agglomeration. [PDF]

iScience
Zhu H, Gan L, Zhang Q, Xu L.
europepmc   +1 more source

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Decoupling analysis between economic growth and resources environment in Central Plains Urban Agglomeration

Science of The Total Environment, 2021
Once, the fast-growing economy has dependence on resources and environment, especially in Central Plains Urban Agglomeration (CPUA). Assessing the relationship between economic growth and resources and environment can be helpful in planning future region development.
Hui Luo, Li Li, Yalin Lei, Sanmang Wu, Dan Yan, Xiangshan Fu, Ximing Luo, Longkang Wu   +7 more
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Polycyclic aromatic hydrocarbons in soils of Central Plains Urban Agglomeration, China: The bidirectional effects of urbanization and anthropogenic activities

Environmental Research, 2022
To investigate the variations in environmental behavior (levels, distribution, sources, and soil toxicity) of polycyclic aromatic hydrocarbons (PAHs) under the impact of anthropogenic activities during the urbanization process, we collected soil samples from 195 sites in the Central Plains Urban Agglomeration (CPUA), North China, and analyzed 16 U.S ...
Baozhong Zhang, Wenhao Wei, Huina Zhu, Xiaolong Liu, Lina Lv, Hanyu Chen   +5 more
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Comprehensive Evaluation on the Level of Central Plains Agglomeration Urbanization

Advanced Materials Research, 2012
From the perspective of the Central Plains Agglomeration for a representation, comprehensive evaluation on urbanization level of all cities in Central Plain Agglomeration was carried out by using gray relation analysis, receive the ranking about urbanization level of all cities in Central Plains Agglomeration, find out the weakness and take measures ...
Ai Hua Li, Wei Tao Li
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The economic loss of health effect damages from PM2.5 pollution in the Central Plains Urban Agglomeration

Environmental Science and Pollution Research, 2020
The Central Plains Urban Agglomeration is an important growth pole of China's economy, but the rapid economic growth is accompanied by serious air pollution problems. In this paper, the latest available PM2.5 monitoring data in 2015-2017 and exposure-response relationship model are used to quantitatively analyze the health effect damages due to PM2.5 ...
Xiangshan, Fu, Li, Li, Yalin, Lei, Sanmang, Wu, Dan, Yan, Ximing, Luo, Hui, Luo   +6 more
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Impact assessment of urbanization on vegetation net primary productivity: A case study of the core development area in central plains urban agglomeration, China

Environmental Research, 2022
Rapid urbanization process has a negative or positive impact on vegetation growth. Net primary productivity (NPP) is an effective indicator to characterize vegetation growth status. Taking the core development area of the Central Plains urban agglomeration as the study area, we estimated the NPP and its change trend in the past four decades using the ...
Wenbin Mu, Xingyuan Zhu, Weixi Ma, Yuping Han, Huiping Huang, Xiaodong Huang   +5 more
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Influence of urbanization on meteorological conditions and ozone pollution in the Central Plains Urban Agglomeration, China

Environmental Pollution
Changes in aerodynamic and thermal conditions caused by urbanization can impact regional meteorological conditions, subsequently affecting air quality. Updated Moderate-resolution Imaging Spectroradiometer (MODIS) land use data and coupled with the urban canopy models (UCMs) in the Weather Research and Forecasting (WRF) model.
Jiaqi Tian, Ju Wang, Dali Wang, Chunsheng Fang   +3 more
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