Analysis and Prediction of Atmospheric Environmental Quality Based on the Autoregressive Integrated Moving Average Model (ARIMA Model) in Hunan Province, China

Sustainability, Journal Year: 2024, Volume and Issue: 16(19), P. 8471 - 8471

Published: Sept. 29, 2024

Based on the panel data of atmospheric environmental pollution in Hunan Province from 2016 to 2023, autoregressive integrated moving average model (ARIMA) is introduced evaluate and predict current status quality China, constructed ARIMA has an excellent prediction effect Province. The following conclusions are obtained through analysis based model: (1) shows a year-on-year improvement trend; (2) method reliable effective can accurately analyze concentrations air pollutants (PM2.5, PM10, SO2, CO) quality, results show that outdoor will improve gradually each year 2024 2028; (3) this study contributes better understanding ambient during 2016–2023 provides good forecasting for period 2024–2028.

Language: Английский

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Unleashing the digital dividend: Exploring how the digital economy promotes the construction of new urbanization in China's 284 prefecture-level cities?

Economic Analysis and Policy, Journal Year: 2024, Volume and Issue: 85, P. 818 - 834

Published: Dec. 25, 2024

Language: Английский

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Ground-Level Particulate Matter (PM2.5) Concentration Mapping in the Central and South Zones of Peninsular Malaysia Using a Geostatistical Approach

Sustainability, Journal Year: 2023, Volume and Issue: 15(23), P. 16169 - 16169

Published: Nov. 21, 2023

Fine particulate matter is one of the atmospheric contaminants that exist in atmosphere. The purpose this study to evaluate spatial–temporal changes PM2.5 concentrations central and south zones Peninsular Malaysia from 2019 2020. area involves twenty-one monitoring stations Malaysia, using monthly annual means concentrations. spatial autocorrelation calculated Moran’s I, while three semi-variogram models are used measure variability PM2.5. Three kriging methods, ordinary (OK), simple (SK), universal (UK), were for interpolation comparison. results showed Gaussian model was more appropriate zone (MSE = 14.76) 2019, stable suitable 2020 19.83). In addition, both 12.68) (8.87) zone. Based on performance indicator, chosen as best method conclusion, findings provide a complete map variations two different zones, show methods such beneficial could be extended investigation air pollution distributions other areas Malaysia.

Language: Английский

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Analysis of the Social and Economic Factors Influencing PM2.5 Emissions at the City Level in China

Sustainability, Journal Year: 2023, Volume and Issue: 15(23), P. 16335 - 16335

Published: Nov. 27, 2023

Respirable suspended particles (PM2.5) are one of the key components haze, which not only causes a variety lung, intestinal, and vascular diseases, but also affects cognitive levels. China is facing challenge severe PM2.5 concentrations, especially in urban areas with high population density. Understanding factors that influence concentrations fundamental for adoption targeted measures. Therefore, this study used Logarithmic Mean Divisia Index (LMDI) method to identify influencing 236 cities northeastern, western, central, eastern China. The findings were as follows. emission intensity (EI) played an important suppressing role on all from 2011–2020. energy (EnI) inhibited 157 cities; economic output (EO) stimulated some less economically developed regions; (P) spurred in135 cities, mainly concentrated cities. This provides whole picture Chinese can act scientific basis guidance city authorities formulating policies toward concentration reduction.

Language: Английский

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The impact of urbanization on carbon emissions of rural households: a study based on micro-level measurement

Clean Technologies and Environmental Policy, Journal Year: 2024, Volume and Issue: unknown

Published: May 13, 2024

Language: Английский

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