Impacts of industrial production and air quality by remote sensing on nitrogen dioxide concentration and related effects: An econometric approach

[1]  Ali Akbar Jamali,et al.  Changes in NO2 and O3 levels due to the pandemic lockdown in the industrial cities of Tehran and Arak, Iran using Sentinel 5P images, Google Earth Engine (GEE) and statistical analysis , 2023, Stochastic Environmental Research and Risk Assessment.

[2]  Wanyanhan Jiang,et al.  Short-term effects and economic burden of air pollutants on acute lower respiratory tract infections in children in Southwest China: a time-series study , 2023, Environmental Health.

[3]  Yu Du,et al.  Interaction among Air Pollution, National Health, and Economic Development , 2022, Sustainability.

[4]  Trang Mai Tran,et al.  Examining the Correlation among Economic Development, Foreign Direct Investment, and CO2 Emissions by Utilizing the VECM Model—Empirical Study in Vietnam , 2022, Sustainability.

[5]  S. Managi,et al.  Estimating monthly global ground-level NO2 concentrations using geographically weighted panel regression , 2022, Remote Sensing of Environment.

[6]  S. Liu,et al.  Impact of a subtropical high and a typhoon on a severe ozone pollution episode in the Pearl River Delta, China , 2022, Atmospheric Chemistry and Physics.

[7]  L. Afifah,et al.  Monitoring CO and O3 concentration that caused climate change periodically using Google Earth Engine (study case: Java Island) , 2022, IOP Conference Series: Earth and Environment.

[8]  M. Amani,et al.  Trends of CO and NO2 Pollutants in Iran during COVID-19 Pandemic Using Timeseries Sentinel-5 Images in Google Earth Engine , 2022, Pollutants.

[9]  R. Kurniawan,et al.  Using Harris hawk optimization towards support vector regression to ozone prediction , 2022, Stochastic Environmental Research and Risk Assessment.

[10]  Xingchuan Yang,et al.  Machine learning-based estimation of ground-level NO2 concentrations over China. , 2021, The Science of the total environment.

[11]  T. Teo,et al.  Using land-use machine learning models to estimate daily NO2 concentration variations in Taiwan , 2021 .

[12]  Xingchuan Yang,et al.  Health risk and disease burden attributable to long-term global fine-mode particles. , 2021, Chemosphere.

[13]  Lin Sun,et al.  Ground-level NO2 concentration estimation based on OMI tropospheric NO2 and its spatiotemporal characteristics in typical regions of China , 2021 .

[14]  Cheng Liu,et al.  Investigation on the Relationship between Satellite Air Quality Measurements and Industrial Production by Generalized Additive Modeling , 2021, Remote. Sens..

[15]  J. Balmes,et al.  Systematic Review of Ozone Effects on Human Lung Function, 2013 Through 2020 , 2021, Chest.

[16]  J. Im,et al.  Estimation of surface-level NO2 and O3 concentrations using TROPOMI data and machine learning over East Asia. , 2021, Environmental pollution.

[17]  Muhammad Umar Chaudhry,et al.  Monitoring the Impact of COVID-19 Lockdown on the Production of Nitrogen Dioxide (NO2) Pollutants Using Satellite Imagery: A Case Study of South Asia , 2021, Sustainability.

[18]  Q. Yuan,et al.  Full-coverage spatiotemporal mapping of ambient PM2.5 and PM10 over China from Sentinel-5P and assimilated datasets: Considering the precursors and chemical compositions. , 2021, Science of the Total Environment.

[19]  W. Landman,et al.  Exploring rural hospital admissions for diarrhoeal disease, malaria, pneumonia, and asthma in relation to temperature, rainfall and air pollution using wavelet transform analysis. , 2021, The Science of the total environment.

[20]  Kaifang Shi,et al.  Quantifying and evaluating the effect of urban expansion on the fine particulate matter (PM2.5) emissions from fossil fuel combustion in China , 2021 .

[21]  M. Madaleno,et al.  Does export product quality and renewable energy induce carbon dioxide emissions: Evidence from leading complex and renewable energy economies , 2021, Renewable Energy.

[22]  Somik V. Lall,et al.  Spatiotemporal analysis of traffic congestion, air pollution, and exposure vulnerability in Tanzania. , 2021, The Science of the total environment.

[23]  Xingchuan Yang,et al.  The Role of Primary Emission and Transboundary Transport in the Air Quality Changes During and After the COVID‐19 Lockdown in China , 2021, Geophysical research letters.

[24]  B. Panneerselvam,et al.  Evaluating the effectiveness of emissions reduction measures and ambient air quality variability through ground-based and Sentinel-5P observations under the auspices of COVID pandemic lockdown in Tamil Nadu, India , 2021, International Journal of Environmental Analytical Chemistry.

[25]  Suci Astutik,et al.  VECM and Bayesian VECM for Overparameterization Problem , 2021 .

[26]  Chuanfeng Zhao,et al.  Toward Understanding the Variation of Air Quality Based on a Comprehensive Analysis in Hebei Province under the Influence of COVID-19 Lockdown , 2021, Atmosphere.

[27]  Mahesh Pathakoti,et al.  Measurement report: An assessment of the impact of a nationwide lockdown on air pollution – a remote sensing perspective over India , 2021, Atmospheric Chemistry and Physics.

[28]  S. Bauer,et al.  Reductions in NO2 burden over north equatorial Africa from decline in biomass burning in spite of growing fossil fuel use, 2005 to 2017 , 2021, Proceedings of the National Academy of Sciences.

[29]  W. Feng,et al.  Influence of classified coal consumption on PM2.5 pollution: Analysis based on the panel cointegration and error-correction model , 2021 .

[30]  D. Norbäck,et al.  The effect of prenatal and early-postnatal exposure to classical air pollution on childhood pneumonia in China , 2020, Indoor and Built Environment.

[31]  H. Frey,et al.  Combined effects of increased O3 and reduced NO2 concentrations on short-term air pollution health risks in Hong Kong. , 2020, Environmental pollution.

[32]  S. Cakir,et al.  Evaluating the performance of ANN in predicting the concentrations of ambient air pollutants in Nicosia , 2020 .

[33]  Marina Vîrghileanu,et al.  Nitrogen Dioxide (NO2) Pollution Monitoring with Sentinel-5P Satellite Imagery over Europe during the Coronavirus Pandemic Outbreak , 2020, Remote. Sens..

[34]  S. Dasgupta,et al.  Global Technology for Local Monitoring of Air Pollution in Dhaka , 2020 .

[35]  Yan-sui Liu,et al.  Exploring the relationship between air pollution and meteorological conditions in China under environmental governance , 2020, Scientific Reports.

[36]  S. Leng,et al.  Ambient air pollutants and hospital visits for pneumonia: a case-crossover study in Qingdao, China , 2020, BMC Public Health.

[37]  Miao Liu,et al.  How Do Economic Growth, Urbanization, and Industrialization Affect Fine Particulate Matter Concentrations? An Assessment in Liaoning Province, China , 2020, International journal of environmental research and public health.

[38]  C. McLinden,et al.  Disentangling the Impact of the COVID‐19 Lockdowns on Urban NO2 From Natural Variability , 2020, Geophysical research letters.

[39]  K. Rothman,et al.  Satellite-detected tropospheric nitrogen dioxide and spread of SARS-CoV-2 infection in Northern Italy , 2020, Science of The Total Environment.

[40]  Junkuo Gao,et al.  Two-dimensional Metal-organic Frameworks and Derivatives for Electrocatalysis , 2020, Chemical Research in Chinese Universities.

[41]  Bens Pardamean,et al.  Impact of COVID-19 large scale restriction on environment and economy in Indonesia , 2020 .

[42]  Abdelfettah Benchrif,et al.  Impact of Covid-19 lockdown on PM10, SO2 and NO2 concentrations in Salé City (Morocco) , 2020, Science of The Total Environment.

[43]  J. Adame,et al.  Ground-based and OMI-TROPOMI NO2 measurements at El Arenosillo observatory: Unexpected upward trends. , 2020, Environmental pollution.

[44]  Danlu Chen,et al.  Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism. , 2020, Environment international.

[45]  Simon Marvin,et al.  Air pollution dispersal in high density urban areas: Research on the triadic relation of wind, air pollution, and urban form , 2020 .

[46]  Casey J. Wichman,et al.  Elasticities and the Inverse Hyperbolic Sine Transformation , 2020, Oxford Bulletin of Economics and Statistics.

[47]  S. Baek,et al.  Monitoring of particulate hazardous air pollutants and affecting factors in the largest industrial area in South Korea: The Sihwa-Banwol complex , 2019 .

[48]  D. Jacob,et al.  A two-pollutant strategy for improving ozone and particulate air quality in China , 2019, Nature Geoscience.

[49]  Hualin Xie,et al.  Interactive Relationship among Urban Expansion, Economic Development, and Population Growth since the Reform and Opening up in China: An Analysis Based on a Vector Error Correction Model , 2019, Land.

[50]  S. Michie,et al.  Understanding and using time series analyses in addiction research. , 2019, Addiction.

[51]  Ke Li,et al.  Effect of changing NOx lifetime on the seasonality and long-term trends of satellite-observed tropospheric NO2 columns over China , 2019, Atmospheric Chemistry and Physics.

[52]  Francesco Marinello,et al.  Spatial Variation of NO2 and Its Impact Factors in China: An Application of Sentinel-5P Products , 2019, Remote. Sens..

[53]  E. Popkova,et al.  Modeling Russian Industrial, Tech, and Financial Cooperation with the Asia-Pacific Region , 2019, Tech, Smart Cities, and Regional Development in Contemporary Russia.

[54]  K. F. Boersma,et al.  Trends and trend reversal detection in 2 decades of tropospheric NO2 satellite observations , 2019, Atmospheric Chemistry and Physics.

[55]  N. Probst-Hensch,et al.  Association of ambient air pollution with lengths of hospital stay for hanoi children with acute lower-respiratory infection, 2007-2016. , 2019, Environmental pollution.

[56]  Małgorzata Porada-Rochoń,et al.  MEASURING CREDIT STRUCTURE IMPACT ON ECONOMIC GROWTH IN CROATIA USING (VECM) 1990-2018 , 2019, Journal of Business Economics and Management.

[57]  Ignacio J. Turias,et al.  Spatial and meteorological relevance in NO2 estimations: a case study in the Bay of Algeciras (Spain) , 2019, Stochastic Environmental Research and Risk Assessment.

[58]  V. Uricchio,et al.  Outdoor spatial distribution and indoor levels of NO2 and SO2 in a high environmental risk site of the South Italy. , 2019, The Science of the total environment.

[59]  M. Zawada,et al.  Application of Statistical and Econometric Tools in The Analysis of Air Pollution Level on The Example of Czestochowa , 2018, Folia Oeconomica Stetinensia.

[60]  I. Rudan,et al.  Global, regional, and national estimates of pneumonia morbidity and mortality in children younger than 5 years between 2000 and 2015: a systematic analysis , 2018, The Lancet. Global health.

[61]  Paul E. Bidanset,et al.  Examining the spatial relationship between environmental health factors and house prices , 2018, Journal of European Real Estate Research.

[62]  Jing Chen,et al.  Impacts of energy consumption structure, energy intensity, economic growth, urbanization on PM2.5 concentrations in countries globally , 2018, Applied Energy.

[63]  E. Katragkou,et al.  A deep stratosphere-to-troposphere ozone transport event over Europe simulated in CAMS global and regional forecast systems: analysis and evaluation , 2018, Atmospheric Chemistry and Physics.

[64]  Mohd Talib Latif,et al.  Variation of major air pollutants in different seasonal conditions in an urban environment in Malaysia , 2018, Geoscience Letters.

[65]  Haldun Akoglu,et al.  User's guide to correlation coefficients , 2018, Turkish journal of emergency medicine.

[66]  Zhongyang Guo,et al.  Temporal and spatial variation relationship and influence factors on surface urban heat island and ozone pollution in the Yangtze River Delta, China. , 2018, The Science of the total environment.

[67]  Yonghong Liu,et al.  Multifractal detrended cross-correlation analysis on NO, NO2and O3concentrations at traffic sites , 2018, Physica A: Statistical Mechanics and its Applications.

[68]  Min B. Shrestha,et al.  Selecting appropriate methodological framework for time series data analysis , 2018, The Journal of Finance and Data Science.

[69]  Christa Boer,et al.  Correlation Coefficients: Appropriate Use and Interpretation , 2018, Anesthesia and analgesia.

[70]  Yu Song,et al.  Characteristics of Turbulent Transfer during Episodes of Heavy Haze Pollution in Beijing in Winter 2016/17 , 2018, Journal of Meteorological Research.

[71]  Auliya Aziza,et al.  Comparison of vector autoregressive (VAR) and vector error correction models (VECM) for index of ASEAN stock price , 2017 .

[72]  Hai Guo,et al.  Long-term O 3 –precursor relationships in Hong Kong: field observation and model simulation , 2017 .

[73]  Jianjun He,et al.  Air pollution characteristics and their relation to meteorological conditions during 2014-2015 in major Chinese cities. , 2017, Environmental pollution.

[74]  Wei Qi,et al.  Effect of driving restrictions on air quality in Lanzhou, China: Analysis integrated with internet data source , 2017 .

[75]  Chuanglin Fang,et al.  The Effect of Economic Growth, Urbanization, and Industrialization on Fine Particulate Matter (PM2.5) Concentrations in China. , 2016, Environmental science & technology.

[76]  Avik Sinha.  Trilateral association between SO2 / NO2 emission, inequality in energy intensity, and economic growth: A case of Indian cities , 2016 .

[77]  I. Ozturk,et al.  Effects of financial development, economic growth and trade on electricity consumption: Evidence from post-Fukushima Japan , 2016 .

[78]  Jin Guo,et al.  PM2.5 Spatiotemporal Variations and the Relationship with Meteorological Factors during 2013-2014 in Beijing, China , 2015, PloS one.

[79]  Håkan Pleijel,et al.  Variation and co-variation of PM10, particle number concentration, NOx and NO2 in the urban air – Relationships with wind speed, vertical temperature gradient and weather type , 2015 .

[80]  David G. Streets,et al.  Aura OMI observations of regional SO2 and NO2 pollution changes from 2005 to 2015 , 2015 .

[81]  Sonja N. Sax,et al.  Ozone exposure and systemic biomarkers: Evaluation of evidence for adverse cardiovascular health impacts , 2015, Critical reviews in toxicology.

[82]  Seong-Joong Kim,et al.  Evolution of surface O3 and PM2.5 concentrations and their relationships with meteorological conditions over the last decade in Beijing , 2015 .

[83]  G. Huang,et al.  The application of semicircular-buffer-based land use regression models incorporating wind direction in predicting quarterly NO2 and PM10 concentrations , 2015 .

[84]  C. Calfapietra,et al.  Particulate Matter deposition on Quercus ilex leaves in an industrial city of central Italy. , 2015, Environmental pollution.

[85]  William Lahoz,et al.  Recent satellite-based trends of tropospheric nitrogen dioxide over large urban agglomerations worldwide , 2014 .

[86]  L. Bisanti,et al.  Air pollution and multiple acute respiratory outcomes , 2013, European Respiratory Journal.

[87]  Shuwen Niu,et al.  Economic growth, energy conservation and emissions reduction: A comparative analysis based on panel data for 8 Asian-Pacific countries , 2011 .

[88]  Yinchang Feng,et al.  Analysis of the Relationship between O3, NO and NO2 in Tianjin, China , 2011 .

[89]  Shaodong Xie,et al.  Spatial and temporal variation of historical anthropogenic NMVOCs emission inventories in China , 2008 .

[90]  S. Morin,et al.  The NO+O3 reaction: a triple oxygen isotope perspective on the reaction dynamics and atmospheric implications for the transfer of the ozone isotope anomaly. , 2008, The Journal of chemical physics.

[91]  K. Boersma,et al.  Trends, seasonal variability and dominant NOx source derived from a ten year record of NO2 measured from space , 2008 .

[92]  Steffen Beirle,et al.  Weekly cycle of NO 2 by GOME measurements: a signature of anthropogenic sources , 2003 .

[93]  Wil Lepkowski,et al.  Chemical Science: After four decades of stiflingly rigid control, science in East Europe is sorting out new ways to organize and go about its work , 1990 .

[94]  S. Johansen.  STATISTICAL ANALYSIS OF COINTEGRATION VECTORS , 1988 .

[95]  J. Rodgers,et al.  Thirteen ways to look at the correlation coefficient , 1988 .

[96]  U. Schurath,et al.  The rate constant of NO + O3 → NO2 + O2 in the temperature range of 283–443 K , 1980 .

[97]  H. Akaike.  A new look at the statistical model identification , 1974 .

[98]  E. Jacob‐Lopes,et al.  Methods of evaluation of the environmental impact on the life cycle , 2021, Sustainability Metrics and Indicators of Environmental Impact.

[99]  S. Jeon,et al.  Mapping and Statistical Analysis of NO2 Concentration for Local Government Air Quality Regulation , 2019, Sustainability.

[100]  C. Wong,et al.  Urban climate modified short-term association of air pollution with pneumonia mortality in Hong Kong. , 2019, The Science of the total environment.

[101]  X. Ge,et al.  Characteristics, sources and health risks of toxic species (PCDD/Fs, PAHs and heavy metals) in PM2.5 during fall and winter in an industrial area. , 2019, Chemosphere.

[102]  M. Hassan,et al.  Financial inclusion and economic growth in OIC countries , 2018 .

[103]  L. Tian,et al.  Comparison of Health Impact of Air Pollution Between China and Other Countries. , 2017, Advances in experimental medicine and biology.

[104]  Jong‐Jin Baik,et al.  Relationship between rooftop and on-road concentrations of traffic-related pollutants in a busy street canyon: Ambient wind effects. , 2016, Environmental pollution.

[105]  P. Purwanto,et al.  The Effect of SO2 and NO2 from Transportation and Stationary Emissions Sources to SO42− and NO3− in Rain Water in Semarang☆ , 2015 .

[106]  S. Duncan.  What is autoimmunity and why is it likely to be important in chronic lung disease? , 2010, American journal of respiratory and critical care medicine.

[107]  A. Zanobetti,et al.  Air pollution and pneumonia: the "old man" has a new "friend". , 2010, American journal of respiratory and critical care medicine.

[108]  F. Valić,et al.  Indoor and outdoor air pollution. , 1968, Arhiv za Higijenu Rada i Toksikologiju.