التفاصيل البيبلوغرافية
| العنوان: |
[Characteristics of Ozone Pollution, Meteorological Impact, and Evaluation of Forecasting Results Based on a Neural Network Model in Beijing-Tianjin-Hebei Region]. |
| المؤلفون: |
Zhu YY; China National Environmental Monitoring Center, Beijing 100012, China.; School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing 100083, China., Liu B; China National Environmental Monitoring Center, Beijing 100012, China., Gui HL; National Meteorological Center, Beijing 100081, China., Li JJ; China National Environmental Monitoring Center, Beijing 100012, China., Wang W; China National Environmental Monitoring Center, Beijing 100012, China. |
| المصدر: |
Huan jing ke xue= Huanjing kexue [Huan Jing Ke Xue] 2022 Aug 08; Vol. 43 (8), pp. 3966-3976. |
| نوع المنشور: |
Journal Article |
| اللغة: |
Chinese |
| بيانات الدورية: |
Publisher: Ke xue zhu ban she Country of Publication: China NLM ID: 8405344 Publication Model: Print Cited Medium: Print ISSN: 0250-3301 (Print) Linking ISSN: 02503301 NLM ISO Abbreviation: Huan Jing Ke Xue Subsets: MEDLINE |
| أسماء مطبوعة: |
Original Publication: Beijing : Ke xue zhu ban she, |
| مواضيع طبية MeSH: |
Air Pollutants*/analysis , Air Pollution*/analysis , Ozone*/analysis, Beijing ; China ; Cities ; Environmental Monitoring/methods ; Neural Networks, Computer ; Particulate Matter/analysis ; Seasons |
| مستخلص: |
The ozone concentration characteristics of 13 cities in Beijing-Tianjin-Hebei regions from 2016 to 2020 were analyzed based on ecological environment monitoring and meteorological observation data. The influence of meteorological elements such as daily maximum temperature ( T max ), daily average ground pressure ( p ), daily average ground relative humidity (RH), and daily average ground wind speed ( v ) on ozone concentration[ ρ (O 3 -8h)] and the exceeding standard rate of O 3 -8h were discussed. The AQI, ozone concentration range, and ozone pollution level forecast accuracy rates were evaluated using the neural network statistical model. The results showed that the concentrations of O 3 -8h-90per[ ρ (O 3 -8h-90per)] of 13 cities in the Beijing-Tianjin-Hebei region from 2016 to 2020 were 157.4, 177.2, 177.3, 190.6, and 175.6 μg·m -3 , respectively. The regional ozone concentration increased by 11.6% over the five years from 2016 to 2019. From 2016 to 2019, there was an overall upward trend in volatility, followed by a decline in 2020. Compared with that in 2016, the concentration of O 3 -8h-90per in the other 10 cities increased by 6-45.5 μg·m -3 , except for in Beijing, Zhangjiakou, and Chengde, where it decreased slightly. The average value of ρ (O 3 -8h) from April to September was higher than 100 μg·m -3 , and the highest monthly average concentration of O 3 -8h was 158.10 μg·m -3 in June. The range of the over standard rate of O 3 -8h was 8.6%-19.2% in the 13 cities, and 97.8% of ozone concentrations exceeded the standard in the period from April to September. At the regional scale, the concentration of O 3 -8h had the strongest correlation with the daily maximum temperature. Furthermore, when T max was in the range of 25-28℃, the concentration of O 3 -8h in the 13 cities began to exceed the standard concentration of 160 μg·m -3 . Additionally, the concentration of O 3 -8h negatively correlated with p . When RH was below 60%, ozone concentration increased slowly with relative humidity in most cities. When RH was above 61%-70%, ozone concentration decreased with the increase in daily relative humidity in most cities. When ozone exceeded the standard concentration of 160 μg·m -3 , the dominant wind was mainly southerly wind, and the high ozone concentration in most cities tended to be concentrated in the low wind speed range of 2-3 m·s -1 and below. Moreover, the correlation coefficient range of the statistical model of OPAQ 1-9 days in advance was 0.72-0.86, the average accuracy of AQI level forecasts was 67%-86%, and the average accuracy of O 3 -8h concentration forecasts was 63%-84%. In April to September, when ozone exceeded the standard of 160 μg·m -3 , the accuracy rates of the model forecast of light ozone pollution and ozone exceeding the standard concentration of 160 μg·m -3 three days in advance were 69% and 66%, which can provide a reference for the management and control of ozone pollution. |
| فهرسة مساهمة: |
Keywords: Beijing-Tianjin-Hebei region; assessment of forecast results; meteorological impacts; neural network; ozone (O3); pollution characteristics |
| المشرفين على المادة: |
0 (Air Pollutants)
0 (Particulate Matter)
66H7ZZK23N (Ozone) |
| تواريخ الأحداث: |
Date Created: 20220816 Date Completed: 20220817 Latest Revision: 20220817 |
| رمز التحديث: |
20240628 |
| DOI: |
10.13227/j.hjkx.202111145 |
| PMID: |
35971695 |
| قاعدة البيانات: |
MEDLINE |
