Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(1), P. 2703 - 2724
Published: May 9, 2023
Language: Английский
Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(1), P. 2703 - 2724
Published: May 9, 2023
Language: Английский
Multimedia Tools and Applications, Journal Year: 2022, Volume and Issue: 82(19), P. 29943 - 30001
Published: Nov. 29, 2022
Language: Английский
Citations
73Multimedia Tools and Applications, Journal Year: 2022, Volume and Issue: 82(15), P. 23251 - 23276
Published: Nov. 16, 2022
Language: Английский
Citations
50Polish Journal of Environmental Studies, Journal Year: 2022, Volume and Issue: 31(5), P. 4029 - 4042
Published: July 5, 2022
During the epidemic period, primary emissions across world were significantly reduced, while response to secondary pollution such as ozone differed from region region.To study impact of strict control measures new COVID-19 on air quality Anhui in early 2020, monitoring data Anhui, 2019 2021, specifically 1 January 30 August, was examined analyze characteristics temporal and spatial distribution.Regression path analysis used extract relationship between variable.PM 10 O 3 , average, increased by 6%, 2%, PM 2.5 SO 2 decreased 15% 10% post-COVID-19 period.All pollutants during active-COVID-19 with a maximum decrease 21% observed followed 19% minimum 2% .Changes 2017 2021 also compared, all through 2020 found.The index (AQI) recorded low 3% post-COVID-19, which shows that will worsen future, but it 16% period.A model developed further understand AQI patterns.This strong correlation however, its other is weak.Regression similar pattern
Language: Английский
Citations
41Sustainability, Journal Year: 2023, Volume and Issue: 15(5), P. 3965 - 3965
Published: Feb. 22, 2023
Considering the green development initiatives vigorously promoted by China, this paper constructs an evaluation index system that covers six areas, including resource utilization, pollution control, living environment, ecological protection, circular economy, and quality of economic growth. This also establishes improved comprehensive model using method Vertical Projection Distance-Set Pair Analysis in order to optimize traditional Technique for Order Preference Similarity Ideal Solution. Based on official data released quantitatively analyzes level 21 provinces eastern western China aforementioned areas from 2005 2020, makes a regional comparison between China. The results show is significantly higher than In when research period ends, values all provinces, except Hebei, are 4.0; meanwhile, no province region has value exceeding 4.0 there large gap such as growth control. On basis, puts forward relevant suggestions terms coordinated regions future.
Language: Английский
Citations
41Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 82(25), P. 38561 - 38587
Published: March 22, 2023
Language: Английский
Citations
41Frontiers in Environmental Science, Journal Year: 2022, Volume and Issue: 10
Published: July 22, 2022
Due to recent developments in the global economy, transportation, and industrialization, air pollution is one of main environmental issues 21st century. The current study aimed predict both short-term long-term Jiangsu Province, China, based on Prophet forecasting model (PFM). We collected data from 72 quality monitoring stations forecast six pollutants: PM 10 , 2.5 SO 2 NO CO, O 3 . To determine accuracy compare its results with predicted actual values, we used correlation coefficient (R), mean squared error (MSE), root (RMSE), absolute (MAE). show that PFM R values 0.40 0.52, RMSE 16.37 12.07 μg/m MAE 11.74 8.22 respectively. Among other pollutants, also are between 5 12 ; 11 has extensive power accurately concentrations pollutants can be regions. this research will helpful for local authorities policymakers control plan accordingly upcoming years.
Language: Английский
Citations
40Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 122, P. 106157 - 106157
Published: March 16, 2023
Individuals in any country are badly impacted both economically and physically whenever an epidemic of infectious illnesses breaks out. A novel coronavirus strain was responsible for the outbreak sickness 2019. Corona Virus Disease 2019 (COVID-19) is name that World Health Organization (WHO) officially gave to pneumonia caused by on February 11, 2020. The use models informed machine learning currently a major focus study field improved forecasting. By displaying annual trends, forecasting can be performing impact assessments potential outcomes. In this paper, proposed forecast consisting time series such as long short-term memory (LSTM), bidirectional (Bi-LSTM), generalized regression unit (GRU), dense-LSTM have been evaluated prediction confirmed cases, deaths, recoveries 12 countries affected COVID-19. Tensorflow1.0 used programming. Indices known mean absolute error (MAE), root means square (RMSE), Median Absolute Error (MEDAE) r2 score utilized process evaluating performance models. We presented various ways time-series making LSTM (LSTM, BiLSTM), we compared these methods other evaluate Our suggests based among most advanced data.
Language: Английский
Citations
40Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 417, P. 137969 - 137969
Published: July 3, 2023
Language: Английский
Citations
39Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 347, P. 119147 - 119147
Published: Sept. 28, 2023
Language: Английский
Citations
35Gondwana Research, Journal Year: 2024, Volume and Issue: 130, P. 308 - 325
Published: March 1, 2024
Language: Английский
Citations
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