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Journal articles on the topic 'Environmental degradation China Chengdu'

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Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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1

Lachatre, Mathieu, Gilles Foret, Benoit Laurent, Guillaume Siour, Juan Cuesta, Gaëlle Dufour, Fan Meng, Wei Tang, Qijie Zhang, and Matthias Beekmann. "Air Quality Degradation by Mineral Dust over Beijing, Chengdu and Shanghai Chinese Megacities." Atmosphere 11, no. 7 (July 2, 2020): 708. http://dx.doi.org/10.3390/atmos11070708.

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Air pollution in Chinese megacities has reached extremely hazardous levels, and human activities are responsible for the emission or production of large amounts of particulate matter (PM). In addition to PM from anthropogenic sources, natural phenomena, such as dust storms over Asian deserts, may also emit large amounts of PM, which lead episodically to poor air quality over Chinese megacities. In this paper, we quantify the degradation of air quality by dust over Beijing, Chengdu and Shanghai megacities using the three dimensions (3D) chemistry transport model CHIMERE, which simulates dust emission and transport online. In the first part of our work, we evaluate dust emissions using Moderate Resolution Imaging Spectroradiometer (MODIS) and Infrared Atmospheric Sounding Interferometer (IASI) satellite observations of aerosol optical depth, respectively, in the visible and the thermal infrared over source areas. PM simulations were also evaluated compared to surface monitoring stations. Then, mineral dust emissions and their impacts on particle composition of several Chinese megacities were analyzed. Dust emissions and transport over China were simulated during three years (2011, 2013 and 2015). Annual dust contributions to the PM 10 budget over Beijing, Chengdu and Shanghai were evaluated respectively as 6.6%, 9.5% and 9.3%. Dust outbreaks largely contribute to poor air quality events during springtime. Indeed it was found that dust significantly contribute for 22%, 52% and 43% of spring PM 10 events (for Beijing, Chengdu and Shanghai respectively).

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2

Clayton, Susan, Sarah M. Bexell, Ping Xu, Ya Fei Tang, Wen Jing Li, and Li Chen. "Environmental literacy and nature experience in Chengdu, China." Environmental Education Research 25, no. 7 (February 4, 2019): 1105–18. http://dx.doi.org/10.1080/13504622.2019.1569207.

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3

Wang, Ju, Juan Li, Xinlong Li, and Chunsheng Fang. "Characteristics of Air Pollutants Emission and Its Impacts on Public Health of Chengdu, Western China." International Journal of Environmental Research and Public Health 19, no. 24 (December 15, 2022): 16852. http://dx.doi.org/10.3390/ijerph192416852.

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Pollution caused by PM2.5 and O3 are common environmental problems which can easily affect human health. Chengdu is a major central city in Western China, and there is little research on the regional emissions and health effects of air pollution in Chengdu. According to the Multi-resolution Emissions Inventory of the Chinese Model, 2017 (MEIC v1.3), this study compiled the air pollutant emission inventory of Chengdu. The results show that the pollutant emission of Chengdu is generally higher in winter than in summer. The southeast area of Chengdu is the key area where emissions of residential and industrial sectors are dominant. Through air quality simulation with a Weather Research and Forecasting model, coupled with the Community Multiscale Air Quality (WRF-CMAQ), the health effects of PM2.5 and O3 in winter and summer in Chengdu of 2017 were investigated. The primary pollutant in winter is PM2.5 and O3 in summer. PM2.5 pollution accounted for 351 deaths in January and July 2017, and O3 pollution accounted for 328 deaths in the same period. There were 276 deaths in rural areas and 413 in urban areas. In January and July 2017, the health economic loss caused by PM2.5 accounted for 0.0974% of the gross regional product (GDP) of Chengdu in 2017, and the health economic loss caused by O3 accounted for 0.0910%.

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4

Wang, Sicheng, and Robert B. Noland. "Variation in ride-hailing trips in Chengdu, China." Transportation Research Part D: Transport and Environment 90 (January 2021): 102596. http://dx.doi.org/10.1016/j.trd.2020.102596.

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5

Tong, Hongjin, Sha Liu, Ruixue Liao, Xiaomei Wei, Kangli Che, Fenggang Li, and Wei Liu. "Temporal-spatial Distribution Characteristics of Air Pollutants in Chengdu Economic Region, China." E3S Web of Conferences 118 (2019): 04027. http://dx.doi.org/10.1051/e3sconf/201911804027.

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The previous characteristics researches of air pollution were almost based on data from national environmental monitoring stations in 2015. The temporal variation curves of air pollutants and the ArcGIS grid interpolation method were used to analyze the spatial-temporal variation of air pollutants in five cities of Chengdu economic region. In 2015, the monthly change trends of PM2.5, PM10, CO, NO2 and NO of air pollutants in Chengdu economic region were basically the same. The maximum monthly average concentration was in January or December, and the minimum was in May to September. The temporal variation of SO2 was characterized by little fluctuation of monthly concentration. The temporal variation characteristics of O3 were opposite to other pollutants. The spatial distribution of PM10 and PM2.5 was characterized by the largest concentration in Chengdu and the southwest of Meishan, in which they were mainly concentrated in the central area of Chengdu in winter. The average concentration of CO in Chengdu was the largest, followed by Deyang and Mianyang, and Meishan and Ziyang was the smallest. The concentrations of NO2 and NO in Chengdu were the largest, while those in Ziyang were the smallest. The spatial distribution characteristics of O3 were different from other pollutants. The areas with the largest concentration of O3 were Ziyang and a small part of west in Chengdu. The spatial distribution of SO2 was characterized by the largest concentration of SO2 in Ziyang, the lowest concentration in Mianyang and Deyang.

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Shi, Hua, Yong-mei Jiang, Jia-yuan Li, Fang Liu, Hong Wang, Fan Yu, and Hui Yang. "Environmental Lead Exposure Among Children in Chengdu, China, 2007–2009." Biological Trace Element Research 143, no. 1 (October 2, 2010): 97–102. http://dx.doi.org/10.1007/s12011-010-8849-0.

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7

Zeng, Yingying, Daniel A. Jaffe, Xue Qiao, Yucong Miao, and Ya Tang. "Prediction of Potentially High PM2.5 Concentrations in Chengdu, China." Aerosol and Air Quality Research 20, no. 5 (2020): 956–65. http://dx.doi.org/10.4209/aaqr.2019.11.0586.

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8

Lo, Carlos W. H., and Gerald E. Fryxell. "Enforcement Styles Among Environmental Protection Officials in China." Journal of Public Policy 23, no. 1 (January 2003): 81–115. http://dx.doi.org/10.1017/s0143814x03003040.

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Researchers examining regulatory enforcement have found that enforcement styles tend to be contextually determined in Western countries, which has resulted in a divergence in regulatory approach at both the national and local levels. Given the dearth of regulation research in non-democratic regimes, this paper makes an initial attempt to fill the gap by studying the impact of regional variations in regulatory enforcement in China. Accordingly, the effects of external support and organizational factors on the preferences for enforcement styles of environmental officials in three Chinese regions were examined. It was found that the strength of these influences on enforcement style dimensions is more variable than was anticipated. Generally, the patterns of relationships for Guangzhou and Chengdu were similar, while those for Dalian appear to reflect its unique environmental, economic and political conditions. Public support appears to promote several dimensions of enforcement style (i.e., education, prioritization, coercion) in Guangzhou and Chengdu; however, in Dalian the influence of government was greater than that of public support. The effects of internal factors were even more variable and probably reflect unique characteristics and priorities within each agency. Overall, the results suggest that caution is warranted when interpreting current findings about China that have used samples from a single region and that enforcement agency directors in nondemocratic regimes must take into account a complex array of contextual factors in attempting to promote a particular style of enforcement.

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9

Zhang, Chi, Ying Zhang, Zhengqiang Li, Yongqian Wang, Hua Xu, Kaitao Li, Donghui Li, Yisong Xie, and Yang Zhang. "Sub-Mode Aerosol Volume Size Distribution and Complex Refractive Index from the Three-Year Ground-Based Measurements in Chengdu China." Atmosphere 10, no. 2 (January 26, 2019): 46. http://dx.doi.org/10.3390/atmos10020046.

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Chengdu is a typical basin city of Southwest China with rare observations of remote sensing measurements. To assess the climate change and establish a region aerosol model, a deeper understanding of the separated volume size distribution (VSD) and complex refractive index (CRI) is required. In this study, we employed the sub-mode VSD and CRI in Chengdu based on the three years observation data to investigate the sub-mode characteristics and climate effects. The annual average fraction of the fine-mode aerosol optical depth (AODf) is 92%, which has the same monthly tendency as the total AOD. But the coarse-mode aerosol optical depth (AODc) has little variation in different months. There are four distinguishing modes of VSD in Chengdu; the median radii are 0.17 μm ± 0.05, 0.31 μm ± 0.12, 1.62 μm ± 0.45, 3.25 μm ± 0.99, respectively. The multi-year average and seasonal variations of fine- and coarse-mode VSD and CRI are also analyzed to characterize aerosols over this region. The fine-mode single scattering albedos (SSAs) are higher than the coarse-mode ones, which suggests that the coarse-mode aerosols have a stronger absorbing effect on solar light than the small-size aerosol particles in Chengdu.

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10

Yin, Hongling, Zhixiang Ye, Yingchun Yang, Wei Yuan, Changyan Qiu, Huawei Yuan, Min Wang, Shiping Li, and Changwu Zou. "Evolution of chemical composition of fogwater in winter in Chengdu, China." Journal of Environmental Sciences 25, no. 9 (September 2013): 1824–32. http://dx.doi.org/10.1016/s1001-0742(12)60230-7.

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11

Wang, Meimei, Yongchun Yang, Mengqin Liu, and Huailiang Yu. "Intergenerational Factors Influencing Household Cohabitation in Urban China: Chengdu." International Journal of Environmental Research and Public Health 18, no. 8 (April 18, 2021): 4289. http://dx.doi.org/10.3390/ijerph18084289.

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Family composition impacts individual consumption habits, which may potentially transform urban integral space structure. Due to the reform in the housing system at the end of the 1990s and increases in residents’ income, houses became more affordable, and intergenerational household cohabitation is no longer the primary pattern. Nonetheless, as families change, it still remains an important form of family composition. Intergenerational support is important in household habitation. This study examines the temporal changes and the structure of intergenerational household cohabitation. Moreover, intergenerational factors in groups of all genders and ages are analyzed. We found that intergenerational household cohabitation in Chengdu comprises three structures: elders living with married children, elders living with unmarried children, and elders living with grandchildren. According to multiple logistic regression, we can see that inadequate housing, economy of costs, cases of emergency, fear of loneliness, care of grandchildren, and poor health have marked effects on household cohabitation, and the positive or negative effects are distinct regarding different structures. To be more specific, the significance of financial support in family composition decreases, and that of support in daily care increases with age. The influence of financial support, daily care support, and emotional support peaks among those aged between 35–60, followed by individuals under 35, and those aged over 60. Financial support is comparatively important for individuals under 35, and females attach more importance to emotional support in intergenerational household cohabitation. The findings provide a basis for subsequent studies of family composition.

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12

Zhao, R., Y. F. Ou, M. Y. Shi, J. Q. Zhang, and D. Liu. "An Investigation of PM 2.5 from Regional Industries in Chengdu, China." Journal of Residuals Science and Technology 14, no. 1 (2017): 121–33. http://dx.doi.org/10.12783/issn.1544-8053/14/1/16.

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13

Li, Bingqin. "Coordinating Urban and Rural Development in China – Learning from Chengdu." Regional Studies 48, no. 5 (February 21, 2014): 936–37. http://dx.doi.org/10.1080/00343404.2014.885331.

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14

Wang, Ying. "Environmental Degradation and Environmental Threats in China." Environmental Monitoring and Assessment 90, no. 1-3 (January 2004): 161–69. http://dx.doi.org/10.1023/b:emas.0000003576.36834.c9.

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15

Chen, Juan, Yinger Deng, Yong Chen, Xin Peng, Han Qin, Tao Wang, and Chenchen Zhao. "Distribution Patterns of Microplastics Pollution in Urban Fresh Waters: A Case Study of Rivers in Chengdu, China." International Journal of Environmental Research and Public Health 19, no. 15 (July 23, 2022): 8972. http://dx.doi.org/10.3390/ijerph19158972.

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Microplastics are widely found in oceans and rivers. In China, the research on microplastic pollution in inland urban fresh waters of China is insufficient. We studied microplastics in the surface waters of urban rivers in Chengdu, which is the largest city in western China. The concentration of microplastics in the analysis environment ranged from 5.00 to 10.5 items/L, and the average quantity was 8.82 items/L. The majority of the microplastics were transparent and took the form of fragments, particles, and fibers. Polyethylene terephthalate (PET) and polyamide (PA) were the dominant polymer types of the microplastics analyzed. Plastic particles ≤ 500 μm accounted for 69.8% of the total. This large proportion of small transparent microplastics in urban rivers in Chengdu is a potential threat to the growth of aquatic organisms and birds foraging from the river and may pose hazards to human health. Additionally, the correlation of microplastic content with population quantity and economic level was calculated by the Pearson coefficient method (p < 0.05), and the results showed that both have an important effect on the number of microplastics in rivers. This research provides a reference for understanding the level of microplastics in urban rivers in Chengdu and pollution control.

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16

Song, Tianli, Miao Feng, Danlin Song, Song Liu, Qinwen Tan, Yuancheng Wang, Yina Luo, Xi Chen, and Fumo Yang. "Comparative Analysis of Secondary Organic Aerosol Formation during PM2.5 Pollution and Complex Pollution of PM2.5 and O3 in Chengdu, China." Atmosphere 13, no. 11 (November 4, 2022): 1834. http://dx.doi.org/10.3390/atmos13111834.

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Nowadays, many cities in China are suffering from both fine particulate matter (PM2.5, particulate matter with an aerodynamic diameter smaller than 2.5 µm) and ozone (O3) pollution. Secondary organic aerosol (SOA) is an important component of PM2.5 and is closely related to the oxidation processes. To investigate the characteristics and formation pathways of SOA during different types of haze pollution episodes, carbonaceous components of PM2.5 and volatile organic compounds (VOCs) were monitored continuously in Chengdu in April 2019, when Chengdu experienced not only PM2.5 pollution (SPP) but also a complex pollution of PM2.5 and O3 (CoP). In the CoP episode, the concentrations of SOA increased by 51.2% as compared to SPP, and the SOA concentrations were positively correlated with PM2.5 mass concentrations. These suggest that SOA drove the increase in PM2.5 levels during the haze event to some extent. The preliminary VOC source analysis based on the feature ratio showed that vehicle emission and fuel volatilization sources were the main sources of VOCs at this urban site. In addition, coal emissions and biomass burning were also important contributors. High-carbon alkanes and aromatic hydrocarbons significantly contributed to the SOA formation. These results provide a preliminary understanding of SOA formation during different types of pollution episodes in Chengdu, which can help us to further understand air pollution in this typical region.

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17

He, Wang, Ji, Wei, Wang, and Liu. "Theoretical Model of Environmental Justice and Environmental Inequality in China’s Four Major Economic Zones." Sustainability 11, no. 21 (October 24, 2019): 5923. http://dx.doi.org/10.3390/su11215923.

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With the change in China’s social structure and the emergence of the middle class, severe environmental pollution is stimulating the demand for social environmental justice in China. Facing the absence of environmental justice theory and related empirical research in China, this article introduces a general equilibrium theory model of environmental justice. It proves that under Pareto efficiency, environmental justice is difficult to achieve in a competitive market, and environmental inequality is the normal state. An econometric model is established based on demographic and socioeconomic factors, comparison with the US principle of environmental justice, and characteristic perspectives in the Chinese context. The study takes 444 counties in China’s four major economic zones, the Yangtze River Delta, Pearl River Delta, Beijing–Tianjin–Hebei, and Chengdu–Chongqing, as the units for empirical analysis of the regional distribution of environmental inequality. The results indicate that rural residents bear higher environmental risks than urban residents. There are different environmentally vulnerable groups and environmental disparities among the four economic zones; notably, minorities in the Pearl River Delta, poor residents in Chengdu–Chongqing, and rural residents in the Yangtze River Delta bear the environmental inequality caused by industrial gas pollution. However, migrants, including rural migrants, do not disproportionately suffer environmental risks caused by industrial pollution at the county level. This paper provides theoretical support and a systematic analytical framework for the study of China’s environmental justice issues. We describe China’s environmental inequality status and provide a reference for the design of environmental justice interventions.

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18

Zhang, Guoxian, Renzhi Hu, Pinhua Xie, Keding Lu, Shengrong Lou, Xiaoyan Liu, Xin Li, et al. "Intercomparison of OH radical measurement in a complex atmosphere in Chengdu, China." Science of The Total Environment 838 (September 2022): 155924. http://dx.doi.org/10.1016/j.scitotenv.2022.155924.

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19

Tao, Jun, Leiming Zhang, Junji Cao, Shih-Chieh Hsu, Xiangao Xia, Zhisheng Zhang, Zejian Lin, Tiantao Cheng, and Renjian Zhang. "Characterization and source apportionment of aerosol light extinction in Chengdu, southwest China." Atmospheric Environment 95 (October 2014): 552–62. http://dx.doi.org/10.1016/j.atmosenv.2014.07.017.

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20

Chen, Bo, Ming Zhang, Dou Yang, Xiaodong Wang, and Yi Zheng. "Acceptability of female condom use in money boys compared with other men who have sex with men in Chengdu, China: a comparative study." Sexual Health 8, no. 2 (2011): 262. http://dx.doi.org/10.1071/sh10158.

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We conducted a clinical trial to compare sexual behaviours and attitudes regarding female condoms among money boys and other men who have sex with men in Chengdu, China, with a particular focus on factors influencing use of female condoms.

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21

Chen, Dongyang, Li Zhou, Chen Wang, Hefan Liu, Yang Qiu, Guangming Shi, Danlin Song, Qinwen Tan, and Fumo Yang. "Characteristics of ambient volatile organic compounds during spring O3 pollution episode in Chengdu, China." Journal of Environmental Sciences 114 (April 2022): 115–25. http://dx.doi.org/10.1016/j.jes.2021.08.014.

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22

Liu, Fan, Qinwen Tan, Xia Jiang, Fumo Yang, and Wenju Jiang. "Effects of relative humidity and PM2.5 chemical compositions on visibility impairment in Chengdu, China." Journal of Environmental Sciences 86 (December 2019): 15–23. http://dx.doi.org/10.1016/j.jes.2019.05.004.

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23

Luo, Youlin, Jie Shen, Aifang Chen, Qi Tao, Qiquan Li, Philip J. White, Tingqiang Li, et al. "Loss of organic carbon in suburban soil upon urbanization of Chengdu megacity, China." Science of The Total Environment 785 (September 2021): 147209. http://dx.doi.org/10.1016/j.scitotenv.2021.147209.

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24

Schneider, Annemarie, Karen C. Seto, and Douglas R. Webster. "Urban Growth in Chengdu, Western China: Application of Remote Sensing to Assess Planning and Policy Outcomes." Environment and Planning B: Planning and Design 32, no. 3 (June 2005): 323–45. http://dx.doi.org/10.1068/b31142.

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The majority of studies on Chinese urbanization have been focused on coastal areas, with little attention given to urban centers in the west. Western provinces, however, will unquestionably undergo significant urban change in the future as a result of the ‘Go West’ policy initiated in the 1990s. In this paper the authors examine the relationship between drivers of urban growth and land-use outcomes in Chengdu, capital of the western province of Sichuan, China. In the first part of this research, remotely sensed data are used to map changes in land cover in the greater Chengdu area and to investigate the spatial distribution of development with use of landscape metrics along seven urban-to-rural transects identified as key corridors of growth. Results indicate that the urbanized area increased by more than 350% between 1978 and 2002 in three distinct spatial trends: (a) near the urban fringe in all directions prior to 1990, (b) along transportation corridors, ring roads, and near satellite cities after 1990, and, finally, (c) infilling in southern and western areas (connecting satellite cities to the urban core) in the late 1990s. In the second part of this paper the authors connect patterns of growth with economic, land, and housing market reforms, which are explored in the context of urban planning initiatives. The results reveal that, physically, Chengdu is following trends witnessed in coastal cities of China, although the importance of various land-use drivers differs from that in the east (for example, in the low level of foreign direct investment to date). The information provided by the land-use analysis ultimately helped tailor policies and plans for better land management and reduced fragmentation of new development in the municipality.

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25

Jiang, Yong-mei, Hua Shi, Jia-yuan Li, Chuan Shen, Jin-hao Liu, and Hui Yang. "Environmental Lead Exposure Among Children in Chengdu, China: Blood Lead Levels and Major Sources." Bulletin of Environmental Contamination and Toxicology 84, no. 1 (September 30, 2009): 1–4. http://dx.doi.org/10.1007/s00128-009-9876-4.

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26

Wu, Keying, Ming Duan, Jiabin Zhou, Zihang Zhou, Qinwen Tan, Danlin Song, Chengwei Lu, and Ye Deng. "Sources Profiles of Anthropogenic Volatile Organic Compounds from Typical Solvent Used in Chengdu, China." Journal of Environmental Engineering 146, no. 7 (July 2020): 05020006. http://dx.doi.org/10.1061/(asce)ee.1943-7870.0001739.

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27

Yu, Haidong, Yujie Peng, and Lanfang Pu. "Study on the Impact of Government Health Expenditure Equity on Residents’ Health Level in the Chengdu–Chongqing Economic Circle of China." International Journal of Environmental Research and Public Health 19, no. 19 (October 5, 2022): 12758. http://dx.doi.org/10.3390/ijerph191912758.

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Background: When the global COVID-19 epidemic continues to spread, residents pay more attention to their health. This paper studies the relationship between the equity of government health expenditure and the health level of residents. Methods: The Theil index and a principal component analysis were used to measure the equity of government health expenditure and the health level of residents in the Chengdu–Chongqing economic circle. Then, an empirical study on the relationship between the equity of government health expenditure and the health level of residents in this region was conducted with the System GMM model. Results: 1. The Theil index rose from 0.0115 in 2015 to 0.0231 in 2017 and gradually decreased to 0.0106 in 2020. 2. The overall health level of residents showed an upward trend, rising from 1.95 in 2015 to 2.33 in 2017, then remained high and fluctuated slightly. 3. There was a positive correlation between the Theil index and the health level of residents at a significance level of 1% (β = 0.903, p < 0.01). Conclusions: 1. The Theil index was close to 0, indicating that the equity of government health expenditure in the Chengdu–Chongqing economic circle was generally good. 2. The health level of residents in the Chengdu–Chongqing economic circle had improved compared to before. 3. The fairer the government’s health expenditure, the higher the residents’ health level.

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Zhou, Xue Lian. "Development and Utilization of Circular Economy and Urban Mining - Chengdu City Based Renewable Resource Industry Survey." Applied Mechanics and Materials 768 (June 2015): 644–51. http://dx.doi.org/10.4028/www.scientific.net/amm.768.644.

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Along with the process of economic growth and urbanization, China has entered a peak period of electronic appliances and automotive industry products obsolescence. On one hand, municipal waste disposal is increasing and causing environmental pollution and damage; on the other hand, native mineral resources’ exhaustion has increased year by year along with exploitation difficulty and mineral resources import growth. Meanwhile, urban industrial scrap, aka "urban mines", does contain abundant of renewable resources, such as copper, iron, and aluminum. Therefore, based on the theory of circular economy, the exploitation of these "urban mines" is the key strategic industry of China’s "12th five-year plan". This paper is based on the survey of Chengdu city regeneration resources industry situation. We analyzed the current status of regeneration resources recycling industry in Chengdu city, finding problems such as the number of existing garbage collection stations inadequate for renewable resources, and processing technology out of date. Generally speaking, the renewable resources industry in Chengdu is under developed.

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29

Huang, Yi, Li Wang, Xin Cheng, Jinjin Wang, Ting Li, Min He, Huibin Shi, Meng Zhang, Scott S. Hughes, and Shijun Ni. "Characteristics of Particulate Matter at Different Pollution Levels in Chengdu, Southwest of China." Atmosphere 12, no. 8 (July 31, 2021): 990. http://dx.doi.org/10.3390/atmos12080990.

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Air pollution is becoming increasingly serious along with social and economic development in the southwest of China. The distribution characteristics of particle matter (PM) were studied in Chengdu from 2016 to 2017, and the changes of PM bearing water-soluble ions and heavy metals and the distribution of secondary ions were analyzed during the haze episode. The results showed that at different pollution levels, heavy metals were more likely to be enriched in fine particles and may be used as a tracer of primary pollution sources. The water-soluble ions in PM2.5 were mainly Sulfate-Nitrate-Ammonium (SNA) accounting for 43.02%, 24.23%, 23.50%, respectively. SO42−, NO3−, NH4+ in PM10 accounted for 34.56%, 27.43%, 19.18%, respectively. It was mainly SO42− in PM at Clean levels (PM2.5 = 0~75 μg/m3, PM10 = 0~150 μg/m3), and mainly NH4+ and NO3− at Light-Medium levels (PM2.5 = 75~150 μg/m3, PM10 = 150~350 μg/m3). At Heavy levels (PM2.5 = 150~250 μg/m3, PM10 = 350~420 μg/m3), it is mainly SO42− in PM2.5, and mainly NH4+ and NO3− in PM10. The contribution of mobile sources to the formation of haze in the study area was significant. SNA had significant contributions to the PM during the haze episode, and more attention should be paid to them in order to improve air quality.

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Yang, Ju, Wenlai Xu, and Huiyu Cheng. "Seasonal Variations and Sources of Airborne Polycyclic Aromatic Hydrocarbons (PAHs) in Chengdu, China." Atmosphere 9, no. 2 (February 11, 2018): 63. http://dx.doi.org/10.3390/atmos9020063.

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31

Chen, Shaoxiang, Yuqian Fu, Zheng Wang, Yang Jiao, Yechao Zhang, Jingru Gan, Yanqiao Zhu, Yudong Wang, Peidong Liu, and Haoyu Zhang. "Students Report of ACM Multimedia 2021." ACM SIGMultimedia Records 13, no. 4 (December 2021): 1. http://dx.doi.org/10.1145/3578508.3578509.

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Due to the COVID-19, the annual ACM Multimedia Conference (https://2021.acmmm.org) was held in a hybrid mode - onsite in Chengdu, China, and online jointly this year. The organizers have made meticulous preparations for this conference and totally more than 1000 researchers from all over the world participated.

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32

Rozelle, Scott, Jikun Huang, and Linxiu Zhang. "Poverty, population and environmental degradation in China." Food Policy 22, no. 3 (June 1997): 229–51. http://dx.doi.org/10.1016/s0306-9192(97)00011-0.

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33

Shen, Junyi. "Trade liberalization and environmental degradation in China." Applied Economics 40, no. 8 (April 2008): 997–1004. http://dx.doi.org/10.1080/00036840600771148.

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34

Revelle, Roger, Vaclav Smil, and Centre for Science and Environment. "The Bad Earth: Environmental Degradation in China." Population and Development Review 11, no. 2 (June 1985): 348. http://dx.doi.org/10.2307/1973494.

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35

Huynh, Anthony, Nancy Yu, Juying Zhang, Claudyne Chevrier, Lisa Lazarus, James Blanchard, and Robert Lorway. "Money boys in Chengdu, China: migration, entrepreneurial precarity and health service access." Culture, Health & Sexuality 22, no. 12 (October 29, 2019): 1333–48. http://dx.doi.org/10.1080/13691058.2019.1679393.

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36

Yang, Xinping, Keding Lu, Xuefei Ma, Yanhui Liu, Haichao Wang, Renzhi Hu, Xin Li, et al. "Observations and modeling of OH and HO2 radicals in Chengdu, China in summer 2019." Science of The Total Environment 772 (June 2021): 144829. http://dx.doi.org/10.1016/j.scitotenv.2020.144829.

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Wan, Jiangjun, Yuxin Li, Chunchi Ma, Tian Jiang, Yi Su, Lingqing Zhang, Xueqian Song, et al. "Measurement of Coupling Coordination Degree and Spatio-Temporal Characteristics of the Social Economy and Ecological Environment in the Chengdu–Chongqing Urban Agglomeration under High-Quality Development." International Journal of Environmental Research and Public Health 18, no. 21 (November 5, 2021): 11629. http://dx.doi.org/10.3390/ijerph182111629.

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With rapid urbanization and industrialization, ecological disorders and environmental degradation have become serious, and the promotion of the coordinated development of the social economy and ecological environment is not only a pressing problem to be solved, but also an important step towards sustainable development. The coordinated development of the social economy and eco-environment is conducive to sustainable development. Considering the Chengdu–Chongqing urban agglomeration as a case study, this paper adopts panel data and establishes an index system to evaluate the coupling coordination degree (CCD) between the social economy and ecological environment based on the concept of high-quality development. From the perspective of time and space, the changing laws and characteristics of the CCD are analyzed, and the key factors affecting it are determined using regression analysis. The results show the following: (1) the CCD between the social economy and ecological environment of the Chengdu–Chongqing urban agglomeration presents a low level overall; (2) the CCD in more developed regions is significantly higher than that in less developed regions; thus, the characteristics of spatial differences are obvious; (3) the urbanization rate, ratio of actual use of foreign capital and GDP, ratio of total export-import volume and GDP, proportion of days with good air quality, and per capita public green space area are the main factors affecting the coordinated development of the social economy and ecological environment in the Chengdu–Chongqing urban agglomeration; and (4) Chongqing has obvious endogeneity. Finally, corresponding policy recommendations are provided aimed at promoting rapid economic development in the Chengdu–Chongqing urban agglomeration while focusing on environmental protection and promoting high-quality economic development with ecological environmental protection, while putting forward decision-making suggestions for high-quality development of urban agglomerations.

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Ran, Mao-Sheng, Qiu-Hua Wu, Yeates Conwell, Eric Yu-Hai Chen, and Cecilia Lai-Wan Chan. "Suicidal Behavior Among Inpatients with Schizophrenia and Mood Disorders in Chengdu, China." Suicide and Life-Threatening Behavior 34, no. 3 (September 2004): 311–19. http://dx.doi.org/10.1521/suli.34.3.311.42784.

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Tan, Qinwen, Li Zhou, Hefan Liu, Miao Feng, Yang Qiu, Fumo Yang, Wenju Jiang, and Fusheng Wei. "Observation-Based Summer O3 Control Effect Evaluation: A Case Study in Chengdu, a Megacity in Sichuan Basin, China." Atmosphere 11, no. 12 (November 26, 2020): 1278. http://dx.doi.org/10.3390/atmos11121278.

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Ground-level ozone (O3), which is mainly from the photochemical reactions of NOx and volatile organic compounds (VOCs), has become a crucial pollutant obstructing air quality improvement in China. Understanding the composition, temporal variability and source apportionment of VOCs is necessary for determining effective control measures to minimize VOCs and their related photochemical pollution. To provide a comprehensive analysis of VOC sources and their contributions to ozone formation in the city of Chengdu—a megacity with the highest rates of industrial and economic development in southwest China—we conducted a one-month monitoring project at three urban sites (Shuangliu, Xindu, Junpingjie; SL, XD and JPJ, respectively) along the main north–south meteorological transport channel before and during the implemented control measures. Alkanes were the dominant group at each site, contributing to around 50% of the observed total VOCs, followed by oxygen-containing VOCs (OVOCs), aromatics, halohydrocarbons and alkenes. During the control period, the mixing ratios of most measured VOC species decreased, and O3 concentrations were down by at least 20%. VOC species experiencing the most effect from control were aromatics and OVOCs, which had higher O3 formation reactivity. This indicated that the control policies had significant influence on reductions of reactive VOC species. We also identified VOC sources at SL and XD using positive matrix factorization (PMF) and assessed their contributions to photochemical O3 formation by calculating the O3 formation potential (OFP) based on mass concentrations and maximum incremental reactivity of related VOCs. Five dominant VOC sources were identified, with the highest contributions from vehicular exhaust and fuel evaporation before control, followed by solvent utilization, biogenic background and secondary formation, and industrial emissions. Contribution from vehicular exhaust was reduced the most at SL, while at XD, secondary formation VOCs decreased significantly. VOCs from vehicular and industrial emissions and solvent utilization were found to be the dominant precursors for OFPs, particularly the species of xylenes, toluene and propene. Our results therefore suggest that priority should be given to the alleviation of photochemical pollutants for effective control of O3 formation in Chengdu. The findings from this work have important implications for formulating effective emission control policies in Chengdu.

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Kan, Mengquing, and Jihe Zhou. "How Do Colleges and Universities Respond to Covid-19: The Experience of Chengdu Sport University." Asia Pacific Journal of Public Health 32, no. 4 (May 2020): 170–71. http://dx.doi.org/10.1177/1010539520931358.

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Since the outbreak of Covid-19 infectious pneumonia in Wuhan, China, in January 2019, it has rapidly spread to 31 provinces (autonomous regions and municipalities) across the country within 3 months. Chengdu Sport University is the only physical education institution in Southwest China. During the epidemic period, the university actively responded to the call of the government and issued response measures as soon as possible to achieve the goal of zero infection among teachers and students. This article describes in detail how to deal with the new coronavirus in colleges and universities during the epidemic.

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Li, Wenxiang, Ziyuan Pu, Yuanyuan Li, and Meiting Tu. "How does ridesplitting reduce emissions from ridesourcing? A spatiotemporal analysis in Chengdu, China." Transportation Research Part D: Transport and Environment 95 (June 2021): 102885. http://dx.doi.org/10.1016/j.trd.2021.102885.

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Xia, Rui, Sijian Li, Bingbing Chen, Qiu Jin, and Zipeng Zhang. "Evaluating the effectiveness of a disaster preparedness nursing education program in Chengdu, China." Public Health Nursing 37, no. 2 (March 2020): 287–94. http://dx.doi.org/10.1111/phn.12685.

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Kong, Hui, Xiaohu Zhang, and Jinhua Zhao. "How does ridesourcing substitute for public transit? A geospatial perspective in Chengdu, China." Journal of Transport Geography 86 (June 2020): 102769. http://dx.doi.org/10.1016/j.jtrangeo.2020.102769.

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Wang, Haofan, Zhihong Liu, Yang Zhang, Zhengyang Yu, and Chunrong Chen. "Impact of different urban canopy models on air quality simulation in Chengdu, southwestern China." Atmospheric Environment 267 (December 2021): 118775. http://dx.doi.org/10.1016/j.atmosenv.2021.118775.

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Huang, Xiaojuan, Junke Zhang, Bin Luo, Jinqi Luo, Wei Zhang, and Zhihan Rao. "Characterization of oxalic acid-containing particles in summer and winter seasons in Chengdu, China." Atmospheric Environment 198 (February 2019): 133–41. http://dx.doi.org/10.1016/j.atmosenv.2018.10.050.

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Fan, Wubo, Wenju Jiang, Junhui Chen, Fumo Yang, Jun Qian, and Hong Ye. "Exhaust emission inventory of typical construction machinery and its contribution to atmospheric pollutants in Chengdu, China." Journal of Environmental Sciences 125 (March 2023): 761–73. http://dx.doi.org/10.1016/j.jes.2022.02.018.

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Zhang, Junke, Qin Liu, Luyao Chen, Huan Li, Rui Zhao, Xiaojuan Huang, Wei Zhang, and Yuesi Wang. "Interannual evolution of elemental carbon-containing particles in winter in the atmosphere of Chengdu, China." Science of The Total Environment 804 (January 2022): 150133. http://dx.doi.org/10.1016/j.scitotenv.2021.150133.

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Gu, Ju, Xian-Jun Xie, Jin-Xin Liu, Jun-Rui Shui, Hao-Yu Zhang, Gan-Yu Feng, Xiao-Yu Liu, et al. "Prevalence and transmission of antimicrobial-resistant Staphylococci and Enterococci from shared bicycles in Chengdu, China." Science of The Total Environment 738 (October 2020): 139735. http://dx.doi.org/10.1016/j.scitotenv.2020.139735.

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Kong, Liuwei, Qinwen Tan, Miao Feng, Yu Qu, Junling An, Xingang Liu, Nianliang Cheng, Yijun Deng, Ruixiao Zhai, and Zheng Wang. "Investigating the characteristics and source analyses of PM2.5 seasonal variations in Chengdu, Southwest China." Chemosphere 243 (March 2020): 125267. http://dx.doi.org/10.1016/j.chemosphere.2019.125267.

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Liang, Yuxin, Liping Zhang, Mengsi Leng, Yi Xiao, and Jun Xia. "System Simulation and Prediction of the Green Development Level of the Chengdu-Chongqing City Group." Water 14, no. 23 (December 4, 2022): 3947. http://dx.doi.org/10.3390/w14233947.

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Green development is a low-carbon, sustainable model for the achievement of the harmonious development of the economy and nature. Nowadays, the problems of resource scarcity and environmental pollution in the process of economic development are pressing, and the promotion of green development is the general trend. As one of the three growth poles of China’s Yangtze River economic belt, the Chengdu-Chongqing City Group is an important platform to lead toward green development in the western region of China. Based on the understanding of the connotation of green development, this study established a green development-level evaluation system, including 19 indicators in three dimensions: target level, criterion level, and indicator level, and used the entropy weight method to measure the green development level of the Chengdu-Chongqing City Group. In view of the dynamic nature of the green development process, this study constructed a system dynamics model of the green development level of the Chengdu-Chongqing City Group and simulated and compared it between 2022 and 2050 under five shared socio-economic pathway (SSP) scenarios so as to provide a reference basis for future development. The results show that the overall green development level of the Chengdu-Chongqing City Group is on an upward trend, with the highest green development level under the SSP1 path and the lowest under the SSP3 path, and the lagging distance tends to increase further. In the next 30 years, the Chengdu-Chongqing City Group should initially follow SSP2 as the basis for development and then gradually perform a transition to SSP1 by 2035 to achieve real sustainable development, after which it should continue to develop according to the SSP1 path until 2050.

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