Driving factors of the significant increase in surface ozone in the Yangtze River Delta, China, during 2013–2017

2019 ◽  
Vol 10 (4) ◽  
pp. 1357-1364 ◽  
Author(s):  
Yijun Yu ◽  
Zhen Wang ◽  
Tao He ◽  
Xiaoyan Meng ◽  
Shuyan Xie ◽  
...  
Keyword(s):  
Yangtze River ◽  
Surface Ozone ◽  
Yangtze River Delta ◽  
River Delta ◽  
Driving Factors ◽  
The Yangtze River ◽  
The Yangtze River Delta

Impacts of Stratospheric Intrusion on Surface Ozone over Eastern China

2020 ◽  
Author(s):  
Wuke Wang
Keyword(s):  
Yangtze River ◽  
Surface Ozone ◽  
Eastern China ◽  
Yangtze River Delta ◽  
River Delta ◽  
Anthropogenic Sources ◽  
The Yangtze River ◽  
Ozone Pollution ◽  
Stratospheric Intrusion ◽  
The Yangtze River Delta

<p><span>Ozone pollution is currently a serious environmental issue in China. Most of studies have attributed the surface ozone pollution over China to the strong photochemical production from anthropogenic sources. As another important source of tropospheric ozone, the stratospheric intrusion (SI), however, has been less concerned. This study investigates the SI events over the Yangtze River Delta in eastern China using the newest ERA5 (the fifth generation of ECMWF atmospheric reanalysis) meteorological and ozone data, the In-service Aircraft for a Global Observing System (IAGOS) ozone profiles and the station-based ground-level ozone measurements. Results indicate that SI plays important roles in spring and summer ozone pollution episodes over the Yangtze River Delta, eastern China. Based on CAM-Chem (the Community Atmosphere Model with Chemistry) and LPDM (Lagrangian Particle Dispersion Modeling) model simulations, we found that deep SIs contribute ~15 ppbv in spring and ~10 ppbv in summer to surface ozone variations in eastern China. A deep SI event occurred in 2018 spring associated with a strong horizontal-trough, which brought ozone-rich air from the stratosphere to the troposphere and resulted in severe surface ozone pollution over the Yangtze River Delta. From 7-year statistics, we found that strong SI events during summer are associated with a cyclonic valley between the South Asian High and the Subtropical High, accompanied by downward fast transport of ozone from the stratosphere to the troposphere. Our results provide important information for surface ozone prediction and control in eastern China.</span></p>

scholarly journals Decoupling of Economic Growth to Industrial Wastewater Discharge in the Yangtze River Delta

2021 ◽  
Vol 251 ◽  
pp. 02068
Author(s):  
Zhang Kunjie
Keyword(s):  
Economic Growth ◽  
Industrial Wastewater ◽  
Yangtze River ◽  
Yangtze River Delta ◽  
Structural Effect ◽  
River Delta ◽  
Driving Factors ◽  
The Yangtze River ◽  
Wastewater Discharge ◽  
The Yangtze River Delta

Based on inter-provincial panel data from 2010 to 2018, the author conducted quantitative analysis on the decoupling of economic growth and industrial wastewater discharge as well as its driving factors in the Yangtze River Delta. The research shows during the study period, a high level of decoupling between economic growth and industrial wastewater discharge could be seen in the Yangtze River Delta, mainly in the form of strong decoupling, while at the same time, undesirable conditions such as growth linkages and expansive negative decoupling, still existed in a few years and certain regions. Among the studied regions, Anhui Province, Zhejiang Province and Jiangsu Province all share a similar decoupling pattern with a rather stable overall performance. Shanghai, however, performed poorly among the Yangtze River Delta, with undesirable decoupling states detected in a few years. In terms of driving factors, technology is the core factor that drives the decoupling of economic development to industrial wastewater discharge of the region. The structural effect, on the other hand, is another element worth paying attention to as the technology in the region gradually becomes saturated.

Analysis of the driving factors of PM2.5 concentration in the air: A case study of the Yangtze River Delta, China

2020 ◽  
Vol 110 ◽  
pp. 105889 ◽  
Author(s):  
Guoyu Xu ◽  
Xiaodong Ren ◽  
Kangning Xiong ◽  
Luqi Li ◽  
Xuecheng Bi ◽  
...  
Keyword(s):  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
Driving Factors ◽  
The Yangtze River ◽  
The Yangtze River Delta ◽  
Pm2.5 Concentration

scholarly journals Investigating Ecosystem Service Trade-offs/synergies and their Influencing Factors: A Case Study in the Yangtze River Delta region of China

2021 ◽  
Author(s):  
Cheng Li ◽  
Jie Zhao ◽  
Wenfu Yang
Keyword(s):  
Yangtze River ◽  
Yangtze River Delta ◽  
River Delta ◽  
Driving Factors ◽  
The Yangtze River ◽  
Delta Region ◽  
Trade Off ◽  
Trade Offs ◽  
Yangtze River Delta Region ◽  
The Yangtze River Delta

Abstract A comprehensive understanding of the trade-off/synergy relationships that exist among multiple ecosystem services (ESs) has become increasingly important for ecological management and sustainable development. However, the determination of the factors that promote trade-off/synergy relationships and the extent to which the driving factors affect these complex relationships have not been well studied, limiting the effectiveness of sustainable ecosystem management. This study employed the Yangtze River Delta region in China as the study area and investigated the spatiotemporal changes in three ESs, namely, carbon storage (CS), water purification (WP), and habitat quality (HQ), from 2005 to 2015. A trade-off/synergy degree (TSD) indicator was developed that allowed for the quantification of the trade-off/synergy intensity, and the spatial pattern of the TSD between ESs in the YRD region was analyzed. Furthermore, a geographically weighted regression (GWR) model was used to analyze the relationship between the driving factors and trade-offs/synergies. The results revealed that CS, WP, and HQ decreased by 1.17%, 2.49%, and 3.38%, respectively. The TSD indicator showed that the trade-off/synergy relationships and their magnitudes were spatially heterogeneous. The coefficients of the natural and socioeconomic factors obtained from the GWR indicated that their impacts on the trade-offs/synergies vary spatiotemporally. The impact factors had both positive and negative effects on the trade-offs/synergies. The values of R2 and AIC implied that the selected factors had significant explanatory power for the trade-off/synergy relationships between paired ESs. The findings could improve the understanding of the spatiotemporal dynamics of trade-offs/synergies and their spatially heterogeneous correlations with related factors.

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