Air quality, atmosphere and health, 2020-04, Vol.13 (4), p.399-407
2020
Details
- Autor(en) / Beteiligte
- Titel
- Predict the particulate matter concentrations in 128 cities of China
- Ist Teil von
- Air quality, atmosphere and health, 2020-04, Vol.13 (4), p.399-407
- Ort / Verlag
- Dordrecht: Springer Netherlands
- Erscheinungsjahr
- 2020
- Link zum Volltext
- Quelle
- SpringerLink
- Beschreibungen/Notizen
- To predict the concentrations of PM 2.5 and PM 10 in the 128 cities of China, the discrete gray prediction model with fractional order accumulation (DFGM(1,1)) was used to predict the annual average PM 2.5 and PM 10 concentrations from 2019 to 2023. The result is as following: the annual average PM 2.5 concentrations of Xi’an, Xuzhou, Ordos, Jingmen, Meizhou, Huizhou, Panzhihua, Kunming, Jixi, and Yichun are increasing from 2019 to 2023. The annual average PM 2.5 concentrations in the 118 other cities are decreasing from 2019 to 2023. While the annual average PM 10 concentrations of Taiyuan, Ordos, Dongguan, Karamay, Foshan, Yichun, Qitaihe, Jinzhou, and Heihe are increasing from 2019 to 2023, the annual average PM 10 concentrations in the 119 other cities are decreasing from 2019 to 2023.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 1873-9318eISSN: 1873-9326DOI: 10.1007/s11869-020-00819-5Titel-ID: cdi_proquest_journals_2390448755
- Format
- –
- Schlagworte
- Air pollution, Atmospheric Protection/Air Quality Control/Air Pollution, Cities, Earth and Environmental Science, Environment, Environmental Health, Grey prediction, Health Promotion and Disease Prevention, Outdoor air quality, Particulate emissions, Particulate matter, Prediction models