Analysis of the Air Quality and the Effect of Governance Policies in China’s Pearl River Delta, 2015–2018

The evaluation of China’s air pollution and the effectiveness of its governance policies is currently a topic of general concern in the academic community. We have improved the traditional evaluation method to construct a comprehensive air quality assessment model based on China’s major air pollutants. Using the daily air pollutant data of 2015–2018, we calculated and analyzed the monthly air quality of nine cities in the Pearl River Delta of China, and conducted a comparative study on the effect of the air pollution control policies of the cities in the Pearl River Delta. We found that the air quality control policies in those nine cities were not consistent. Specifically, the pollution control policies of Guangzhou and Foshan have achieved more than 20% improvement. The pollution control policies of Dongguan and Zhaoqing have also achieved more than 10% improvement. However, due to the relative lag of the formulation and implementation of air pollution control policies, the air quality of Jiangmen, Zhuhai and Zhongshan has declined. Based on the analysis of the air quality assessment results and the effects of governance policies in each city during the study period, we propose suggestions for further improvement of the effectiveness of air pollution control policies in the region.

[1]  Guanghui Yuan,et al.  Evaluating China’s Air Pollution Control Policy with Extended AQI Indicator System: Example of the Beijing-Tianjin-Hebei Region , 2019, Sustainability.

[2]  Nan Wang,et al.  Numerical simulations for the sources apportionment and control strategies of PM2.5 over Pearl River Delta, China, part I: Inventory and PM2.5 sources apportionment. , 2018, The Science of the total environment.

[3]  Shengrui Tong,et al.  Heterogeneous uptake of nitrogen dioxide on Chinese mineral dust. , 2015, Journal of environmental sciences.

[4]  Weixin Yang,et al.  Does Whistleblowing Work for Air Pollution Control in China? A Study Based on Three-party Evolutionary Game Model under Incomplete Information , 2019, Sustainability.

[5]  Xingfa Gu,et al.  Intercomparison of tropospheric nitrogen dioxide retrieved from Ozone Monitoring Instrument over China , 2014 .

[6]  Kebin He,et al.  Development of PM2.5 and NO2 models in a LUR framework incorporating satellite remote sensing and air quality model data in Pearl River Delta region, China. , 2017, Environmental pollution.

[7]  Lingdong Kong,et al.  Air pollution characteristics in China during 2015-2016: Spatiotemporal variations and key meteorological factors. , 2019, The Science of the total environment.

[8]  Chongshan Guo,et al.  Air Pollution, Student Health, and School Absences: Evidence from China , 2018, Journal of Environmental Economics and Management.

[9]  Shixin Wang,et al.  Analysis of the tropospheric column nitrogen dioxide over China based on satellite observations during 2008–2017 , 2019, Atmospheric Pollution Research.

[10]  A. Miranda,et al.  Weather research and forecasting model simulations over the Pearl River Delta Region , 2018, Air Quality, Atmosphere & Health.

[11]  Tianshu Zhang,et al.  Atmosphere boundary layer height and its effect on air pollutants in Beijing during winter heavy pollution , 2019, Atmospheric Research.

[12]  S. Tao,et al.  Household air pollution and personal inhalation exposure to particles (TSP/PM2.5/PM1.0/PM0.25) in rural Shanxi, North China. , 2017, Environmental pollution.

[13]  Cheng Huang,et al.  Estimated individual inhaled dose of fine particles and indicators of lung function: A pilot study among Chinese young adults. , 2018, Environmental pollution.

[14]  C. Fang,et al.  Estimating the impacts of urban form on CO2 emission efficiency in the Pearl River Delta, China , 2019, Cities.

[15]  Mei-Ling Shyu,et al.  Analysis of cardinal grey relational grade and grey entropy on achievement of air pollution reduction by evaluating air quality trend in Japan , 2017 .

[16]  Shuiyuan Cheng,et al.  Impact of Meteorological Conditions on PM2.5 Pollution in China during Winter , 2018, Atmosphere.

[17]  Weixin Yang,et al.  Total Factor Efficiency Study on China’s Industrial Coal Input and Wastewater Control with Dual Target Variables , 2018, Sustainability.

[18]  Yongdong Shen,et al.  Blue sky fabrication in China: Science-policy integration in air pollution regulation campaigns for mega-events , 2019, Environmental Science & Policy.

[19]  Ngo Kim Chi,et al.  A preliminary investigation of 942 organic micro-pollutants in the atmosphere in waste processing and urban areas, northern Vietnam: Levels, potential sources, and risk assessment. , 2019, Ecotoxicology and environmental safety.

[20]  B. B. Zaidan,et al.  Survey on fuzzy TOPSIS state-of-the-art between 2007 and 2017 , 2019, Comput. Oper. Res..

[21]  Jielan Xie,et al.  Spatial-temporal characteristics of the air quality in the Guangdong−Hong Kong−Macau Greater Bay Area of China during 2015–2017 , 2019, Atmospheric Environment.

[22]  Guanghui Yuan,et al.  Study on optimization of economic dispatching of electric power system based on Hybrid Intelligent Algorithms (PSO and AFSA) , 2019, Energy.

[23]  Tao Liu,et al.  Hourly peak concentration measuring the PM 2.5 -mortality association: Results from six cities in the Pearl River Delta study , 2017 .

[24]  L. Morawska,et al.  The impact of marine shipping and its DECA control on air quality in the Pearl River Delta, China. , 2018, The Science of the total environment.

[25]  Xuemei Wang,et al.  Particle number concentration, size distribution and chemical composition during haze and photochemical smog episodes in Shanghai. , 2014, Journal of environmental sciences.

[26]  Qunli Wu,et al.  Daily urban air quality index forecasting based on variational mode decomposition, sample entropy and LSTM neural network , 2019, Sustainable Cities and Society.

[27]  Yang Wang,et al.  Using entropy-TOPSIS method to evaluate urban rail transit system operation performance: The China case , 2018 .

[28]  Weixin Yang,et al.  Energy Efficiency, Ownership Structure, and Sustainable Development: Evidence from China , 2017 .

[29]  Jielan Xie,et al.  The characteristics of hourly wind field and its impacts on air quality in the Pearl River Delta region during 2013–2017 , 2019, Atmospheric Research.

[30]  Yuesi Wang,et al.  Secondary organic aerosols in Jinan, an urban site in North China: Significant anthropogenic contributions to heavy pollution. , 2019, Journal of environmental sciences.

[31]  Yiyu Zheng,et al.  Analysis of a Severe Pollution Episode in December 2017 in Sichuan Province , 2019, Atmosphere.

[32]  Lilei Lu,et al.  A novel TOPSIS evaluation scheme for cloud service trustworthiness combining objective and subjective aspects , 2018, J. Syst. Softw..

[33]  Tej Singh,et al.  Hybrid entropy – TOPSIS approach for energy performance prioritization in a rectangular channel employing impinging air jets , 2017 .

[34]  J. Fung,et al.  Source Apportionment of Sulfate and Nitrate over the Pearl River Delta Region in China , 2016 .

[35]  Keyhan Khamforoosh,et al.  Influence maximization in social networks based on TOPSIS , 2018, Expert Syst. Appl..

[36]  Xu Tang,et al.  Energy savings in China's energy sectors and contributions to air pollution reduction in the 12th Five Year Plan , 2018, Journal of Cleaner Production.

[37]  Ren Yang,et al.  Influence of the geographic proximity of city features on the spatial variation of urban carbon sinks: A case study on the Pearl River Delta. , 2018, Environmental pollution.

[38]  Jianlei Lang,et al.  Chemical Characteristics and Sources of Submicron Particles in a City with Heavy Pollution in China , 2018, Atmosphere.

[39]  Jingti Han,et al.  Is China's air pollution control policy effective? Evidence from Yangtze River Delta cities , 2019, Journal of Cleaner Production.

[40]  Z. Cai,et al.  Seasonal variations and inhalation risk assessment of short-chain chlorinated paraffins in PM2.5 of Jinan, China. , 2019, Environmental pollution.

[41]  Weixin Yang,et al.  Analysis of Total Factor Efficiency of Water Resource and Energy in China: A Study Based on DEA-SBM Model , 2017 .

[42]  Yigang Wei,et al.  Uncovering the culprits of air pollution: Evidence from China's economic sectors and regional heterogeneities , 2018 .

[43]  Tien-Chin Wang,et al.  Developing a fuzzy TOPSIS approach based on subjective weights and objective weights , 2009, Expert Syst. Appl..

[44]  Yunfeng Kong,et al.  Particulate matter pollution in Chinese cities: Areal-temporal variations and their relationships with meteorological conditions (2015-2017). , 2019, Environmental pollution.

[45]  B. Tilt China’s air pollution crisis: Science and policy perspectives , 2019, Environmental Science & Policy.

[46]  Zaili Ling,et al.  Sulfur dioxide pollution and energy justice in Northwestern China embodied in West-East Energy Transmission of China , 2019, Applied Energy.

[47]  Xueliang Yuan,et al.  Public awareness and willingness to pay for tackling smog pollution in China: a case study , 2016 .

[48]  Wei Gao,et al.  Quantifying impacts of crop residue burning in the North China Plain on summertime tropospheric ozone over East Asia , 2018, Atmospheric Environment.

[49]  Pengyu Chen,et al.  Effects of normalization on the entropy-based TOPSIS method , 2019, Expert Syst. Appl..

[50]  J. Yu,et al.  Spatiotemporal dynamics of nitrogen dioxide pollution and urban development: Satellite observations over China, 2005–2016 , 2019, Resources, Conservation and Recycling.

[51]  Huixiong Lü,et al.  The state of particulate matter contamination, particulate matter–bound heavy metals, and persistent organic pollutants (POPs) in megacities, China , 2019, Current Opinion in Environmental Science & Health.

[52]  Jie Liu,et al.  Emissions Characteristics of Hazardous Air Pollutants from the Incineration of Sacrificial Offerings , 2019, Atmosphere.

[53]  Y. Hao,et al.  Interactions between climate factors and air pollution on daily HFMD cases: A time series study in Guangdong, China. , 2019, The Science of the total environment.

[54]  Weixin Yang,et al.  Efficiency Evaluation and Policy Analysis of Industrial Wastewater Control in China , 2017 .

[55]  Barnabas C. Seyler,et al.  Air pollution reduction in China: Recent success but great challenge for the future. , 2019, The Science of the total environment.

[56]  Yong Shi,et al.  Public blockchain evaluation using entropy and TOPSIS , 2019, Expert Syst. Appl..

[57]  Weixin Yang,et al.  Efficiency evaluation of industrial waste gas control in China: A study based on data envelopment analysis (DEA) model , 2018 .

[58]  Lixi Zeng,et al.  Size-dependent distribution and inhalation exposure characteristics of particle-bound chlorinated paraffins in indoor air in Guangzhou, China. , 2018, Environment international.

[59]  Nianliang Cheng,et al.  Aerosol optical properties under different pollution levels in the Pearl River Delta (PRD) region of China. , 2020, Journal of environmental sciences.