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PubPharm (169)
1
Machine learning insights into PM2.5 changes during COVID-19 lockdown : LSTM and RF analysis in Mashhad
enthalten in:
Environmental monitoring and assessment
| 2024
von
Moezzi, S.
|
Mohammadi, M.
|
Mohammadi, M.
| +2
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2
Source-specific light absorption and radiative effects decreases and indications due to the lockdown
enthalten in:
Journal of environmental management
| 2024
von
Qu, Y.
|
Liu, H.
|
Zhang, T.
| +9
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3
Quantifying the impact of urban road traffic on air quality : activity pre-pandemic and during partial and full lockdowns
enthalten in:
Environmental monitoring and assessment
| 2024
von
Alhajeri, N.
|
Al-Fadhli, F.
|
Aly, A.
| +1
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4
The impact of COVID-19 pandemic lockdowns on air quality index : a systematic review
enthalten in:
International journal of environmental health research
| 2024
von
Drikvandi, M.
|
Goudarzi, M.
|
Molavinia, S.
| +2
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5
Nitrogen isotopic characteristics of aerosol ammonium in a Chinese megacity indicate the reduction from vehicle emissions during the lockdown period
enthalten in:
The Science of the total environment
| 2024
von
Li, Z.
|
Xiao, H.
|
Walters, W.
| +8
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6
Impacts of Anthropogenic Emission Reduction on Urban Atmospheric Oxidizing Capacity During the COVID-19 Lockdown
enthalten in:
Huan jing ke xue= Huanjing kexue
| 2024
von
Zhu, J.
|
Qin, M.
|
Zhu, Y.
| +1
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7
AI-based prediction of the improvement in air quality induced by emergency measures
enthalten in:
Journal of environmental management
| 2024
von
Pari, P.
|
Abbasi, T.
|
Abbasi, S.
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8
Systematic review and meta-analysis on the impact of COVID-19 related restrictions on air quality in low- and middle-income countries
enthalten in:
The Science of the total environment
| 2024
von
Navaratnam, A.
|
Williams, H.
|
Sharp, S.
| +2
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9
Environmentally persistent free radicals in PM2.5 from a typical Chinese industrial city during COVID-19 lockdown : The unexpected contamination level variation
enthalten in:
Journal of environmental sciences (China)
| 2024
von
Wang, L.
|
Zhao, W.
|
Luo, P.
| +4
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10
Revisiting the dynamics of gaseous ammonia and ammonium aerosols during the COVID-19 lockdown in urban Beijing using machine learning models
enthalten in:
The Science of the total environment
| 2023
von
Lyu, Y.
|
Zhang, Q.
|
Sun, Q.
| +5
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Thema: Particulate Matter
Medienart
169
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The Science of the total environment
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Environmental pollution (Barking, Essex : 1987)
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Environmental monitoring and assessment
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Thema
169
Journal Article
Particulate Matter
159
Air Pollutants
77
Lockdown
75
COVID-19
48
COVID-19 lockdown
34
Nitrogen Dioxide
34
S7G510RUBH
33
Air quality
31
Air pollution
28
Research Support, Non-U.S. Gov't
20
lockdown
17
Aerosols
17
Ozone
13
66H7ZZK23N
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PM2.5
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SARS-CoV-2
12
Vehicle Emissions
11
NO(2)
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PM(2.5)
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2024
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2023
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2022
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