Is air pollution joint prevention and control effective in China—evidence from “Air Pollution Prevention and Control Action Plan”

Wu, Wenqi

doi:10.1007/s11356-023-30982-y

Cited by 4 publications

(1 citation statement)

References 54 publications

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“…The results show that there is an inverted U-shaped relationship between related variety and haze pollution, however, the overall variety aggravates haze pollution. Wu (2023) assessed the efficacy of joint prevention and control measures for air pollution in China, concluding that such measures significantly influence both the overall and individual pollutant emissions. Li et al (2023) examined the interplay between market segmentation and haze pollution in the urban agglomerations of China's Yangtze River Delta, finding that cities with high market segmentation and haze pollution could potentially reduce pollution through future market integration.…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial and Seasonal Dynamics of Air Quality in the Beijing-Tianjin-Hebei Region: An Analysis Using K-means Clustering and BP Neural Networks

Wang,

Wu,

et al. 2023

OCS

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In the context of rapid economic development, air pollution has emerged as a critical environmental issue, particularly in the Beijing-Tianjin-Hebei region. This study, through the application of Air Quality Index (AQI) data and K-means clustering, investigates the seasonal variations and spatial distribution of air quality in this region. It has been identified that air pollution in this area is not only subject to seasonal fluctuation but also exhibits distinct patterns of local spatial aggregation. Utilizing a Back Propagation (BP) Neural Network model, this research predicts AQI values, offering foresight into the development and transformation of haze weather conditions. The findings of this investigation are instrumental in enhancing the understanding of air pollution dynamics, facilitating the formulation of effective air control strategies. Such strategies are vital for the issuance of accurate pollution warnings and reminders, thereby contributing to the mitigation of severe pollution impacts.

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Section: Literature Reviewmentioning

confidence: 99%