scholarly journals Quantifying the demographic distribution characteristics of ecological space quality to achieve urban agglomeration sustainability

2021 ◽  
Author(s):  
Xinchuang Chen ◽  
Feng Li ◽  
Xiaoqian Li ◽  
Yinhong Hu ◽  
Panpan Hu
Keyword(s):  
Urban Agglomeration ◽  
Distribution Characteristics ◽  
Demographic Distribution

On the Microstructure of Different Types of Particles in PM10 in Beijing-Tianjin-Tangshan City Group Agglomeration Atmosphere

2013 ◽  
Vol 448-453 ◽  
pp. 341-348 ◽  
Author(s):  
Shi Hong Cen ◽  
Xiao Yan Song ◽  
Long Yi Shao ◽  
Bing Yan ◽  
Yan Li Wu ◽  
...  
Keyword(s):  
Research Result ◽  
Urban Agglomeration ◽  
Spherical Particles ◽  
Distribution Characteristics ◽  
Analysis Software ◽  
Image Analysis Software ◽  
Mineral Particles ◽  
Different Types ◽  
City Group ◽  
Scanning Electron

This paper analyses the microstructure of different types of particles in PM10in Beijing-Tianjin-Tangshan urban agglomeration atmosphere in spring and summer by using field emission scanning electron microscopy (FESEM), in which the distribution characteristics of the size and number of the different types of particles in PM10are specifically analyzed by using image analysis software. The research result shows that the types of particles in Beijing-Tianjin-Tangshan urban agglomeration atmosphere are unknown particles, soot aggregates, mineral particles and spherical particles. According to the proportion of the three partials in the atmosphere, the three cities ranks as follows: in the aspect of unknown particles, Tianjin ranks first, which is followed by Tangshan and Beijing; in the aspect of soot aggregates, Tangshan ranks first ,which is followed by Beijing and Tianjin; in the aspect of mineral particles, Beijing ranks first ,which is followed by Tangshan and Tianjin; in the aspect of spherical particles, Beijing ranks first ,which is followed by Tangshan and Tianjin;

scholarly journals The Spatial Distribution Characteristics of Carbon Emissions at County Level in the Harbin−Changchun Urban Agglomeration

Atmosphere ◽  
2021 ◽  
Vol 12 (10) ◽  
pp. 1268
Author(s):  
Yixia Wang
Keyword(s):  
Spatial Distribution ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Urban Agglomeration ◽  
Moran’S I ◽  
County Level ◽  
Distribution Characteristics ◽  
Moran's I ◽  
Spatial Distribution Characteristics ◽  
Global And Local

China has clearly put forward the strategic goals of reaching the “Carbon Emission Peak” by 2030, and achieving “Carbon Neutrality” by 2060. To achieve these goals, it is necessary to precisely understand the spatial distribution characteristics of historical carbon emissions in different regions. This paper has selected a representative national-level urban agglomeration in China, the Harbin−Changchun urban agglomeration, to study the temporal and spatial distribution characteristics of carbon emissions in its counties. This paper has constructed global and local Moran’s I indexes for the 103 counties in this urban agglomeration by using the carbon emission values reflected by night light data from 1997 to 2017 to perform global and local autocorrelation analysis on a spatial level. The results show that: (1) the main characteristic of carbon emission clustering in the Harbin−Changchun urban agglomeration is similar clustering; (2) the changes in carbon emissions of the Harbin−Changchun urban agglomeration have a strong correlation with relevant policies. For example, due to the impact of the “Twelfth Five-Year Plan” policies, in 2013, the global county-level Moran’s I index of the carbon emissions in the Harbin−Changchun urban agglomeration decreased by 0.0598; (3) the areas where high carbon emission values cluster together (“High−High Cluster”) and low carbon emission values cluster together (“Low−Low Cluster”) in the Harbin−Changchun urban agglomeration are highly concentrated, and the clusters are closely related to the development level of different regions.

Distribution characteristics on indoor radon concentration of multiple-use facilities in Gwangju area

2019 ◽  
Vol 18 (2) ◽  
pp. 177-184 ◽  
Author(s):  
Min-jin Kim ◽  
Sang-su An ◽  
Min-cheol Cho ◽  
Se-il Park ◽  
Jong-min Kim ◽  
...  
Keyword(s):  
Radon Concentration ◽  
Indoor Radon ◽  
Distribution Characteristics ◽  
Multiple Use ◽  
Indoor Radon Concentration
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