Spatiotemporal patterns and spatial clustering characteristics of air quality in China: A city level analysis

Ye, Weifeng; Ma, Zhong; Ha, Xiu-Zhen; Yang, Haichao; Weng, Zhixiong

doi:10.1016/j.ecolind.2018.04.007

Cited by 29 publications

(11 citation statements)

References 25 publications

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“…air quality of 338 Chinese cities at the prefecture level and above, Ye et al [46] found that the air quality index of SO 2 and NO 2 in Xinjiang was basically less than 1; that is, Xinjiang experienced low SO 2 and NO 2 pollution and had a good environment, consistent with the results reported in this paper. Sun and Zhou [47] discussed the source analysis and spatial distribution characteristics of air pollution in China as well as the relationship between air pollution and exposure risks.…”

Section: Plos Onesupporting

confidence: 88%

Discussion of an environmental depletion assessment method–A case study in Xinjiang, China

et al. 2022

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Environmental process assessment based on the environmental depletion index (EDI) is an important part of the long-term monitoring and early warning mechanism of China’s resources and environmental carrying capacity. The EDI aims to realize the unified environmental impact assessment of economic and environmental systems through the ratio relationship between economic growth and pollutant emission growth. However, in terms of pollutant emissions, the EDI ignores the environmental capacity (EC), which means that the effectiveness and objectivity of environmental impact assessment must be verified. In this study, with Xinjiang as an example and based on the EDI, Sulfur dioxide (SO2), Nitrogen oxide (NOx), Chemical oxygen demand (COD) and Ammonia nitrogen (NH3-N) were selected for calculation and assessment both without and with consideration of EC and for discussion of the suitability of the environmental depletion method for resources and environmental carrying capacity. The results indicated that ① the percentages of SO2, NOx, COD, NH3-N and CEDI in counties and cities that tend to be poor and lack EC were 32.98%, 29.79%, 30.85%, 28.72% and 38.30%, respectively, while the percentages in counties and cities with EC were 10.64%, 3.19%, 13.83%, 8.51% and 10.64%, respectively. ② When EC was included, the number of counties and cities where changes in SO2, NOx, COD, NH3-N and CEDI tended to be “poor → good” were 23, 26, 17, 21 and 28, respectively, and the number of counties and cities where such changes tended to be “good → poor” were 2, 1, 1, 2 and 2, respectively. ③ EC inclusion corrected overestimated or underestimated EDI results, making the evaluation results more objective and reasonable. This understanding provides a scientific reference for the coordinated development of the regional economy and environment in Xinjiang and worldwide.

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Section: Plos Onesupporting

confidence: 88%

Discussion of an environmental depletion assessment method–A case study in Xinjiang, China

et al. 2022

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“…Table 1 shows the Comprehensive Air Quality Index (CAQI) in GZ and ZJ from 2015 to 2018 9‐12 . The CAQI is a dimensionless air quality index for the description and measurement of ambient air quality that covers six pollutants and a greater CAQI indicates worse air quality 13 . Based on the CAQI values, Guangzhou was considered to have worse air quality compared with Zhanjiang.…”

Section: Methodsmentioning

confidence: 99%

The effect of air pollution on the skin colour and tone of Chinese women: A multicentre cohort study

Nkengne

Robic

Lua³

2020

Skin Research and Technology

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Background Overall facial skin colour is an important sign of perceived health and attractiveness, is predetermined by genetic factors, and is influenced by cultural and living habits, ultraviolet (UV) exposure, climate/seasons and ageing. The objective of this study was to determine the impact of pollution on the skin colour of Chinese women. Materials and Methods A total of 203 Chinese women between 20 and 59 years of age participated in the study and were selected from two cities with different levels of air pollution. Skin colour (L*, a* and b* values), melanin and haemoglobin levels were measured at three sites: the cheek, eye and inner upper arm. Measurements of the inner upper arm were taken as this area of skin was exposed to air pollutants but had minimal exposure to UV light. Results There were significant differences in skin chromophores between Chinese women living in two different cities with different levels of pollution. The b* value (yellowness) was higher in the eye and cheek region, and the a* value (redness) was lower in the cheek and arm region for women in the moderately polluted city. The melanin index was significantly higher, and the haemoglobin level was lower for the eye region for women living in the city with a higher level of air pollution. Conclusion This study has shown that air pollution may negatively affect the skin colour of Chinese women.

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“…As observed, all tests except the robust LM test for spatial error effect are significant at the 1% level, indicating that spatial dependence should not be ignored. The presence of spatial dependence of air emissions has also been observed in previous studies, including Wang and Fang (2016) for analyzing the spatiotemporal distribution and determinants of PM 2.5 concentrations, Ye et al (2018) for examining spatiotemporal patterns and spatial clustering characteristics of six air pollutants, Li et al (2019) for illustrating the spatiotemporal variation and key factors of SO 2 concentrations, and Wang and Zhou (2021) for demonstrating spatial agglomeration and driving factors of SO 2 emissions and solid waste.…”

Section: Estimation Results Without Consideration Of Spatial Dependencementioning

confidence: 58%

“…Nevertheless, evidence against the EKC hypothesis has also been provided. For example, a U-shaped relation between income and SO 2 concentrations was suggested by Kaufmann et al (1998); Shen (2006); Ye et al (2018). An N-shaped relationship between gross domestic product (GDP) per capita and SO 2 emissions was found by Llorca and Meunié (2009) and Huang (2018).…”

Section: Economic Driving Factors Of So 2 Emissionsmentioning

confidence: 96%

Spatial heterogeneity and economic driving factors of SO2 emissions in China: Evidence from an eigenvector based spatial filtering approach

Shi

Chang

et al. 2021

Ecological Indicators

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Sulfur dioxide (SO 2 ) emissions have been a great challenge in China over the last few decades due to their serious impact on the environment and human health. In this paper, a random effect eigenvector spatial filtering (RE-ESF) approach without and with non-spatially varying coefficients (SNVC) is identified to examine spatial heterogeneity and economic driving factors of SO 2 emissions in China from 2011 to 2017. Using the Moran eigenvectors to extract information on spatial dependence, the main findings of the RE-ESF approach are as follows: First, after comparing different approaches for dealing with spatial dependence, it is found that the RE-ESF approach demonstrates the best fit to the dataset. Second, the global investigation shows that SO 2 emissions are negatively determined by economic growth and government expenditure for environment protection, but are positively determined by road freight transport, coal consumption and oil consumption. Third, the local investigation indicates that the spatially varying coefficients of economic growth and coal consumption range from 0.1401 to 0.2732 with the median value of 0.2478 and from 0.2406 to 0.3611 with the median value of 0.3210, respectively, revealing significant spatial heterogeneity of SO 2 emissions driven by economic growth and coal consumption. These findings provide meaningful insights into centralized and province-specific policies for reducing SO 2 emissions.

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Spatiotemporal patterns and spatial clustering characteristics of air quality in China: A city level analysis

Cited by 29 publications

References 25 publications

Discussion of an environmental depletion assessment method–A case study in Xinjiang, China

Discussion of an environmental depletion assessment method–A case study in Xinjiang, China

The effect of air pollution on the skin colour and tone of Chinese women: A multicentre cohort study

Spatial heterogeneity and economic driving factors of SO2 emissions in China: Evidence from an eigenvector based spatial filtering approach

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