Search

Your search keyword '"Wu, Xianhua"' showing total 17 results
Start Over Author "Wu, Xianhua" Publisher springer science and business media llc
17 results on '"Wu, Xianhua"'

2. Spatial and Temporal Evolution Characteristics of PM2.5 in China from 1998 to 2016

Author

Meng Shuhan, WU Xianhua, Tong Helong, Li Hua, and LU Xiaoli

Subjects
Index (economics), 010504 meteorology & atmospheric sciences, Lag, Geography, Planning and Development, 010501 environmental sciences, 01 natural sciences, Geography, Urbanization, General Earth and Planetary Sciences, Spatial variability, Physical geography, China, Air quality index, 0105 earth and related environmental sciences, Panel data, Spatial difference
Abstract

The rapid development of China's economy and urbanization has given rise to noticeable environmental problems, among which the change of air quality has received extensive attention. The panel data of PM2.5 (particles with an aerodynamic diameter of 2.5 μm or less) in 343 prefecture-level cities in China from 1998 to 2016 were statistically analyzed to reveal the characteristics of the temporal evolution and spatial variation of China's air quality in the past two decades. The results show that: 1) the overall deterioration trend of air quality is obvious throughout the country. The variation trend of PM2.5 was divided into three phases: rapid-growth phase (1998–2007), lag phase (2006–2011) and mildly-incremental phase (2012–2016), with their average growth rates of 7.19%, −3.59% and 0.52%, respectively. 2) The spatial difference of PM2.5 values in China increased significantly with time. Since 2003, the high-value area in the east has expanded rapidly, and polarization became much more pronounced. The change rate of PM2.5 is high in the east and west and low in the middle. The change rates of most areas in the west exceed more than 80%, and in the east lie somewhere between 40% and 60%. In the midlands, the change rate is not large and some regions even show a negative growth. 3) The change rate of PM2.5 is also high in areas with higher values. However, in regions where the change rate of PM2.5 is high, the value of PM2.5 is not always high. The high change rate is mainly attributable to the low base value of PM2.5 and the cities concerned belong to sensitive areas. 4) According to the PM2.5 warning index, the number of strong, medium, weak and non-warning areas in China is 45, 85, 159 and 54, respectively.

Published
2020

16. Trastuzumab anti-tumor efficacy in patient-derived esophageal squamous cell carcinoma xenograft (PDECX) mouse models

Author

Wu, Xianhua, primary, Zhang, Jingchuan, additional, Zhen, Ruheng, additional, Lv, Jing, additional, Zheng, Li, additional, Su, Xinying, additional, Zhu, Guanshan, additional, Gavine, Paul R, additional, Xu, Songtao, additional, Lu, Shaohua, additional, Hou, Jun, additional, Liu, Yalan, additional, Xu, Chen, additional, Tan, Yunshan, additional, Xie, Liang, additional, Yin, Xiaolu, additional, He, Deming, additional, Ji, Qunsheng, additional, Hou, Yingyong, additional, and Ge, Di, additional

Published
2012
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results