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| 題 名 | 應用地理人工智慧技術分析國小學區NO₂濃度分布--以嘉義市為例=Estimating Nitrogen Dioxide Concentration Distribution within Elementary School Districts Using Geo-AI Technology: A Case Study of Chiayi City |
|---|---|
| 作 者 | 王信棻; 吳治達; | 書刊名 | 航測及遙測學刊 |
| 卷 期 | 29:2 2024.06[民113.06] |
| 頁 次 | 頁77-90 |
| 分類號 | 367.41 |
| 關鍵詞 | 二氧化氮; 空氣污染; 機器學習; 地理人工智慧; 國小學童; Nitrogen dioxide; Air pollutant; Machine learning; Geo-AI; Elementary school children; |
| 語 文 | 中文(Chinese) |
| DOI | 10.6574/JPRS.202406_29(2).0002 |
| 中文摘要 | 二氧化氮 (NO2) 污染為都市重要公共健康議題,對兒童的負面健康影響更深遠。每日上午通勤時段 為室外 NO2 排放量高峰期。然而有限監測站難以反映學童上學過程暴露的 NO2 污染濃度。為了準確掌握 國小學童就學通勤時的 NO2 污染分布,本研究以嘉義市為例,運用地理人工智慧 (Geo-AI) 技術模擬 NO2 濃度分布。蒐集 2015-2020 年空氣污染監測數據,以及土地利用空間相關變數,並以機器學習演算法建立 推估模型。結果顯示,主模型以及嘉義市皆有高等解釋能力 (分別為 R2=0.94 以及 0.93),推估成果準確 可靠。NO2 高濃度地區位於嘉義市中心偏南側,且西區濃度略高於東區。國小學區內道路及住宅區密度與 NO2 濃度呈正向關聯。 |
| 英文摘要 | Nitrogen dioxide (NO2) pollution is a concerned public health issue in urban areas. Children may experience more severe health effects when exposed to NO2. Furthermore, heavy traffic during the morning commuting time leads to peak outdoor NO2 emissions. The limited number of monitoring stations poses a challenge in assessing NO2 exposure during children's school commutes. To accurately depict the spatial distribution and variation of NO2 concentration during elementary school children's commutes, this study estimated NO2 distribution in Chiayi City using Geo-AI technology. Air pollution monitoring data during morning commuting time from 2015 to 2020, land use and potential geospatial-related variables were collected. Machine learning algorithm were then used for variable selection and model development. The results reveal that the main model and Chiayi City both had high explanatory power, with R2 values of 0.94 and 0.93, respectively. The estimations are accurate and reliable. Higher NO2 concentrations are clustered in the southern-central part of Chiayi City. The averaged NO2 levels in Western District is slightly higher compared to the Eastern District. Furthermore, concerning the land use distribution patterns within elementary school districts, a positive correlation was observed between NO2 concentrations around schools and road density and residential area density. |
本系統中英文摘要資訊取自各篇刊載內容。