In the context of digital technology innovation, an in-depth investigation into the impact of digitalization on haze pollution is of great significance for scientifically understanding environmental effects of digitalization and building a livable civic environment. From the perspective of energy consumption intensity and structure, this paper theoretically analyzes the direct and indirect effects of digitalization on haze pollution. On this basis, the impact of digitalization on haze pollution for 81 countries over the period 2010-2019 is empirically investigated by using the system GMM and mediating effects model. Empirical results show that digitalization can effectively suppress haze pollution, and there is significant heterogeneity in this inhibiting effect. In addition, digitalization can indirectly restrain haze pollution by reducing energy consumption intensity and optimizing energy consumption structure. The findings of this paper can provide enlightenment for countries to promote digitalization, combat haze pollution, and thus enhance the health of community residents.
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http://dx.doi.org/10.3390/ijerph191811204 | DOI Listing |
Environ Sci Technol
January 2025
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), National Observations and Research Station for Wetland Ecosystems of the Yangtze Estuary, Department of Environmental Science & Engineering, Fudan University, Shanghai 200438, China.
Nitrogen-containing organic compounds (NOCs) in frost serve as a critical pathway for atmospheric nitrogen deposition, significantly impacting the biogeochemical cycles of nitrogen. However, the molecular characteristics of NOCs in frost and their deposition fluxes are scarcely studied. In this work, frost samples, collected in rural Northeast China in the winter of 2023, were analyzed using nontargeted ultrahigh performance liquid chromatography-orbitrap mass spectrometry (UHPLC-Orbitrap MS) to reveal their content in nitrogen-containing organic compounds (NOCs) and explore their wet deposition fluxes.
View Article and Find Full Text PDFEnviron Sci Technol
December 2024
Key Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
Aerosol ammonium (NH) is a critical component of particulate matter that affects air pollution, climate, and human health. Isotope-based source apportionment of NH is essential for ammonia (NH) mitigation but the role of kinetic vs equilibrium controls on nitrogen isotope (δN) fractionation between NH and NH remains unresolved. Based on concurrent measurements of NH and NH in winter Beijing, we observed that the difference of δN between NH and NH on clean days (3.
View Article and Find Full Text PDFEnviron Pollut
December 2024
Biomedical Engineering Institute, Chiang Mai University, Chiang Mai, 50200, Thailand; Biomedical Engineering and Innovation Research Center, Chiang Mai University, Chiang Mai, 50200, Thailand. Electronic address:
Exposure to ambient air pollution is associated with several noncommunicable diseases, and it adversely affects the respiratory system and other organ systems. Several studies have investigated the underlying mechanisms of biological response to air pollutants using conventional techniques, but there is a lack of research on the effects of air pollution at the cellular level. This study developed a dual system that combines PM (particulate matter <2.
View Article and Find Full Text PDFJ Environ Manage
December 2024
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China; State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing, 100084, China.
Optimizing an emergency air pollution control strategy for haze events presents a significant challenge due to the extensive computational demands required to quantify the complex nonlinearity associated with controls on diverse air pollutants and regional sources. In this study, we developed a forecasting tool for emergency air pollution control strategies based on a predictive response surface model that quantifies PM responses to emission changes from different pollutants and regions. This tool is equipped to assess the effectiveness of emergency control measures corresponding to various air pollution alerts and to formulate an optimized control strategy aimed at specific PM targets.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
January 2025
Department of Chemical Engineering, California Institute of Technology, Pasadena, CA 91106.
Aerosol light absorption has been widely considered as a contributing factor to the worsening of particulate pollution in large urban areas, primarily through its role in stabilizing the planetary boundary layer (PBL). Here, we report that absorption-dominated aerosol-radiation interaction can decrease near-surface fine particulate matter concentrations ([PM]) at a large-scale during wintertime haze events. A "warm bubble" effect by the significant heating rate of absorbing aerosols above the PBL top generates a secondary circulation, enhancing the upward motion (downward motion) and the convergence (divergence) in polluted (relatively clean) areas, with a net effect of lowering near-surface [PM].
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