An Inversion of Lg-Wave Attenuation and Site Response in the North China Region

2012 ◽  
Vol 102 (6) ◽  
pp. 2600-2610 ◽  
Author(s):  
X.-Y. Zhu ◽  
Y.-T. Chen
Keyword(s):  
North China ◽  
Wave Attenuation ◽  
Site Response ◽  
The North ◽  
Lg Wave ◽  
North China Region ◽  
China Region

scholarly journals Understanding meteorological influences on PM<sub>2.5</sub> concentrations across China: a temporal and spatial perspective

2018 ◽  
Vol 18 (8) ◽  
pp. 5343-5358 ◽  
Author(s):  
Ziyue Chen ◽  
Xiaoming Xie ◽  
Jun Cai ◽  
Danlu Chen ◽  
Bingbo Gao ◽  
...  
Keyword(s):  
North China ◽  
Meteorological Factors ◽  
Mapping Method ◽  
National Scale ◽  
The North ◽  
Spatial Differences ◽  
Meteorological Influences ◽  
Temporal And Spatial ◽  
North China Region ◽  
China Region

Abstract. With frequent air pollution episodes in China, growing research emphasis has been put on quantifying meteorological influences on PM2.5 concentrations. However, these studies mainly focus on isolated cities, whilst meteorological influences on PM2.5 concentrations at the national scale have not yet been examined comprehensively. This research employs the CCM (convergent cross-mapping) method to understand the influence of individual meteorological factors on local PM2.5 concentrations in 188 monitoring cities across China. Results indicate that meteorological influences on PM2.5 concentrations have notable seasonal and regional variations. For the heavily polluted North China region, when PM2.5 concentrations are high, meteorological influences on PM2.5 concentrations are strong. The dominant meteorological influence for PM2.5 concentrations varies across locations and demonstrates regional similarities. For the most polluted winter, the dominant meteorological driver for local PM2.5 concentrations is mainly the wind within the North China region, whilst precipitation is the dominant meteorological influence for most coastal regions. At the national scale, the influence of temperature, humidity and wind on PM2.5 concentrations is much larger than that of other meteorological factors. Amongst eight factors, temperature exerts the strongest and most stable influence on national PM2.5 concentrations in all seasons. Due to notable temporal and spatial differences in meteorological influences on local PM2.5 concentrations, this research suggests pertinent environmental projects for air quality improvement should be designed accordingly for specific regions.

Transfers of embodied PM2.5 emissions from and to the North China region based on a multiregional input-output model

2018 ◽  
Vol 235 ◽  
pp. 381-393 ◽  
Author(s):  
Xue Yang ◽  
Wenzhong Zhang ◽  
Jie Fan ◽  
Jianhui Yu ◽  
Hongyan Zhao
Keyword(s):  
North China ◽  
Input Output ◽  
The North ◽  
North China Region ◽  
China Region ◽  
Pm2.5 Emissions

Integrated Assessment of Water Resources Potential in the North China Region

2006 ◽  
Vol 31 (1) ◽  
pp. 71-80 ◽  
Author(s):  
Yanchun Gao ◽  
Changming Liu ◽  
Shaofeng Jia ◽  
Jun Xia ◽  
Jingjie Yu ◽  
...  
Keyword(s):  
Water Resources ◽  
Integrated Assessment ◽  
North China ◽  
The North ◽  
North China Region ◽  
China Region

Influences of the extratropical pacific sst on the precipitation of the north china region

1997 ◽  
Vol 14 (3) ◽  
pp. 339-349 ◽  
Author(s):  
Geng Quanzhen ◽  
Ding Yihui ◽  
Huang Chaoying
Keyword(s):  
North China ◽  
The North ◽  
North China Region ◽  
China Region
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