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アイテム
Evaluating Air Pollution in Jakarta: A Dynamic Vehicle Age-Based Cohort Emission Models, Meteorological Effects, and COVID-19 Impacts
https://kitakyu.repo.nii.ac.jp/records/2000271
https://kitakyu.repo.nii.ac.jp/records/2000271fdf2058c-34d1-4a3e-b1af-6a1452a040c8
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
(KKDE1285MG)甲第285号_メリタ ギダルジャティ.pdf (2.5 MB)
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| Item type | 学位論文 / Thesis or Dissertation(1) | |||||||
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| 公開日 | 2024-12-25 | |||||||
| タイトル | ||||||||
| タイトル | Evaluating Air Pollution in Jakarta: A Dynamic Vehicle Age-Based Cohort Emission Models, Meteorological Effects, and COVID-19 Impacts | |||||||
| 言語 | en | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| キーワード | ||||||||
| 言語 | en | |||||||
| 主題Scheme | Other | |||||||
| 主題 | air pollution|auto cohort model|emission inventory|transportation sector|air quality|COVID-19|meteorological variables. | |||||||
| 資源タイプ | ||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||||
| 資源タイプ | doctoral thesis | |||||||
| アクセス権 | ||||||||
| アクセス権 | open access | |||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||
| その他（別言語等）のタイトル | ||||||||
| その他のタイトル | ジャカルタの大気汚染の評価：動的車齢ベースコホート排出モデルと気象及びCOVID-19の影響 | |||||||
| 言語 | ja | |||||||
| 著者 |
Merita Gidarjati
× Merita Gidarjati
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| 著者別名 | ||||||||
| 姓名 | メリタ ギダルジャティ | |||||||
| 言語 | ja | |||||||
| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | This study focuses on evaluating air pollution in Jakarta, emphasizing three main areas: the impact of motor vehicle emissions, the correlation between meteorological variables and air quality, and the effects of the COVID-19 pandemic on pollution levels.From 2007 to 2018, motorbikes emerged as the primary contributors to air pollutants. Projections indicate that by 2040, motorbikes will continue to dominate emissions, with expected contributions of 70.2% for CO, % for HC, and 82.9% for PM under a business-as-usual scenario. The research also found moderate correlations between temperature, humidity, rainfall, and PM levels during the COVID-19 pandemic, highlighting a complex interaction between environmental conditions and public health risks associated with air pollution. Even though there was a weak correlation between confirmed deaths because of COVID-19 and all air quality parameters, the study found positive cases of COVID-19 were strongly correlated with PM10, PM2.5, CO, and O3, whereas PM2.5 alone, showed a negative correlation. | |||||||
| 言語 | en | |||||||
| 学位名 | ||||||||
| 言語 | ja | |||||||
| 学位名 | 博士（工学） | |||||||
| item_10006_degree_grantor_9 | ||||||||
| 学位授与機関識別子Scheme | kakenhi | |||||||
| 学位授与機関識別子 | 27101 | |||||||
| 言語 | ja | |||||||
| 学位授与機関名 | 北九州市立大学 | |||||||
| 学位授与年月日 | ||||||||
| 学位授与年月日 | 2024-09-25 | |||||||
| dissertation_number | ||||||||
| 学位授与番号 | 甲第285号 | |||||||
| 出版タイプ | ||||||||
| 出版タイプ | VoR | |||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||
