Chinese Provincial Air Pollutant Concentration Prediction over the Long Term
نویسندگان
چکیده
Although China’s urban air quality has improved, there are still many cities that do not meet ambient standards and experience serious pollution problems, causing tremendous damage to people’s health sustainable social development. For the sake of obtaining specific time when will reach standard, annual mean pollutant concentrations 27 Chinese provinces predicted analyzed. Based on original data from in 2017 2021, a gray prediction model with fractional order accumulation is established analyze predict concentration pollutants provinces. The applicability then validated by absolute percentage error values. According forecast results, 2026, six pollutants, PM2.5, PM10, SO2, NO2, CO, O3, all Class II 25 provinces, namely Beijing, Chongqing, Shanghai, Hebei, Jiangsu, Shanxi, Zhejiang, Liaoning, Anhui, Jilin, Fujian, Heilongjiang, Jiangxi, Hubei, Qinghai, Hunan, Guangdong, Hainan, Guangxi, Guizhou, Shaanxi, Gansu, Yunnan, Inner Mongolia, Xinjiang (corrected for effect sandstorms). Tianjin, Sichuan, (not corrected sandstorms) exceed standard respectively. Sichuan Tianjin are, respectively, expected 2027 2030, fail next 15 years. Finally, current situation respect analyzed, corresponding suggestions put forward offer an explicit direction relevant departments.
منابع مشابه
Cyclostationary Neural Networks for Air Pollutant Concentration Prediction
There are many substances in the air which may impair the health of plants and animals, including humans, that arise both from natural processes and human activity. Nitrogen dioxide NO2 and particulate matter (PM10, PM2.5) emissions constitute a major concern in urban areas pollution. The state of the air is, in fact, an important factor in the quality of life in the cities, since it affects th...
متن کاملChaos in Air Pollutant Concentration (APC) Time Series
Three chaotic indicators, namely the correlation dimension, the Lyapunov exponent, and the Kolmogorov entropy, are estimated for one-year long hourly average NO (nitrogen monoxide), CO (carbon monoxide), SO2 (sulfur dioxide), PM10 (particles with an aerodynamic diameter of approximately 10 m or less), and NO2 (nitrogen dioxide) concentration to examine the possible chaotic characteristics in th...
متن کاملStatus and prediction of sulfur dioxide as an air pollutant in the city of Ahvaz, Iran
The present research analyzes air quality in Ahvaz, a city in the south of Iran, paying special attention to sulfur dioxide (SO2). In order to prepare the average data in the city, measurements have been carried out between 2009 and 2010 in two different locations. Relations between sulfur dioxide and some meteorological parameters have been calculated statistically, using the daily average dat...
متن کاملStatus and prediction of sulfur dioxide as an air pollutant in the city of Ahvaz, Iran
The present research analyzes air quality in Ahvaz, a city in the south of Iran, paying special attention to sulfur dioxide (SO2). In order to prepare the average data in the city, measurements have been carried out between 2009 and 2010 in two different locations. Relations between sulfur dioxide and some meteorological parameters have been calculated statistically, using the daily average dat...
متن کاملPrediction of long-term slake durability of clay-bearing rocks
A research program was conducted on different clay-bearing rocks selected from the Ilam, Sarpol-e Zahab and Tajarak regions (Iran) to predict their slaking characteristics. The new durability apparatus (nested mesh drums) separates disintegrated particles varying from > 25.4 to < 2 mm as the drums were rotated. On the basis of the particle size distribution, the disintegration ratio (DR) was us...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Atmosphere
سال: 2023
ISSN: ['2073-4433']
DOI: https://doi.org/10.3390/atmos14081211