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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 馬鴻文 | zh_TW |
| dc.contributor.advisor | Hwong-wen Ma | en |
| dc.contributor.author | 陳智榮 | zh_TW |
| dc.contributor.author | Chih-Rung Chen | en |
| dc.date.accessioned | 2023-01-08T17:05:27Z | - |
| dc.date.available | 2023-11-09 | - |
| dc.date.copyright | 2023-01-06 | - |
| dc.date.issued | 2022 | - |
| dc.date.submitted | 2022-11-26 | - |
| dc.identifier.citation | Baccarelli, A., Bollati, V. (2009). Epigenetics and environmental chemicals. Current opinion in pediatrics 21, 243
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/83102 | - |
| dc.description.abstract | 細懸浮微粒(fine particulate matter)對環境的衝擊與人體健康之嚴重危害日漸受到關注。然而不同PM2.5來源對健康風險的貢獻以及季節型態對健康風險的影響尚不清楚。為了對PM2.5進行有效的管理，需要發展一套完整的健康風險評估方法，以釐清各污染排放源的貢獻程度，並量化對健康風險的影響。
本研究實地採樣以台灣中部複雜污染區域為對象，探討在不同季節型態時PM2.5與微量元素濃度的變化，以了解不同排放源對健康的影響。本研究應用化學質量平衡模式(CMB)解析PM2.5的來源貢獻率，在源解析的基礎上評估不同排放源對PM2.5中毒性元素吸入性健康風險。同時為發展PM2.5健康風險的綜合評估方法，採用台灣四個都市測站長期的濃度與成分監測資料，結合毒理學與流行病學方法評估PM2.5濃度與成分對健康的影響。 分析顯示PM2.5濃度與季風型態的變化有關，東北季風期間PM2.5濃度的主要貢獻源為衍生性氣膠28.93% > 燃煤鍋爐19.82% > 地殼揚塵15.99%；西南季風期間濃度的主要貢獻源為燃煤鍋爐37.29% > 交通排放21.19% > 衍生性氣膠17.84%。總致癌風險高於可接受風險值(3.07×10-6)，非致癌風險在可接受範圍內(0.262)。 季風帶上的排放源影響PM2.5的化學組成，由於化學成分的變化，PM2.5的健康風險不一定與濃度成正相關；毒理學與流行病學的風險評估結果可能不一致，為了提升空品管理效益，除了PM2.5的濃度之外，亦應該關注PM2.5的組成成分；本研究為健康風險量化與空品標準的擬定提供方法學，應有助於釐清並量化空氣污染源對人體健康的影響。 | zh_TW |
| dc.description.abstract | Fine particulate matter (PM2.5) is a type of air pollutant that is widely studied in environmental research. However, the contribution of different sources to PM2.5 and the impact of seasonal patterns on health risks from PM2.5 remain unclear. To support effective management, a comprehensive health risk assessment method needs to be developed to clarify the contribution of various emission sources and quantify its impact on health risks.
To identify the contribution of health risks derived from various emission sources, this study investigated seasonal patterns in terms of PM2.5 mass and concentrations of associated trace elements in a region with complex pollution sources in central Taiwan. We applied the chemical mass balance receptor model (CMB) to analyze the contribution of various sources to PM2.5. Based on this source apportionment, health risks from the inhalation of toxic elements in PM2.5 from different emission sources were assessed. Finally, to develop a comprehensive assessment method to examine health risks associated with PM2.5, long-term concentration and composition monitoring data from four urban monitoring stations in Taiwan were used to evaluate the impact of PM2.5 concentration and composition on health by combining toxicological and epidemiological methods. Variation in the concentration of PM2.5 was related to changes in monsoon type. Among the top contributors of PM2.5 during the north-east monsoon were secondary aerosols (28.93%), coal boilers (19.82%), and crustal dust (15.99%). During the south-west monsoon, the top contributors were coal boilers (37.29%), traffic emission (21.19%), and secondary aerosols (17.84%). The total risk of cancer was above the acceptable risk (3.07×10-6), while the risk of non-carcinogenic diseases was within the acceptable range (0.262). Monsoon zones affected the performance of various components of PM2.5 from the emission sources. The risks associated with PM2.5 were not necessarily positively correlated with PM2.5 concentration, due to variations in its complex chemical composition. Toxicological and epidemiological risk assessment results were at times inconsistent. To provide sound air quality management, attention should be paid to the composition of PM2.5 in addition to its concentration. This study provides a methodology for the quantification of health risks and the formulation of air quality standards, which then helps to clarify and quantify the impact of PM2.5 on human health. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-01-08T17:05:26Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2023-01-08T17:05:27Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員會審定書i
誌 謝 iii 摘 要 v Abstract vi Contents ix List of Figures xii List of Tables xv Chapter 1 Introduction 1 1.1 Health impact of PM2.5 1 1.2 Research Purpose 4 1.3 Research structure 5 Chapter 2 Literature review 7 2.1 Fine particulate in the environment 7 2.1.1 Particle size range 7 2.1.2 Chemical composition and sources 9 2.1.3 Source identification 12 2.1.4 Generation mechanism 14 2.2 Health hazards of fine particulate 22 2.2.1 Toxic mechanism of PM2.5 22 2.2.2 Mechanism of harm 26 2.2.3 Chemical hazard 35 2.3 Helth risk assessment of particulate 39 2.3.1 PM2.5 epidemiological assessment method 39 2.3.2 Literature on epidemiological risk assessment of PM2.5 46 2.4 Application of receptor model 53 2.4.1 Application of receptor model in the world 53 2.4.2 Application of receptor model in the Taiwan 55 2.5 Analysis of meteorological trajectory model 56 2.6 PM2.5 control standards 58 Chapter 3 Research method 61 3.1 Site description and Sample collection 61 3.2 Gravimetric and Sample analysis 63 3.3 Source apportionment model 66 3.3.1 Basic theory and hypothesis of CMB 68 3.3.2 Operation method of CMB 69 3.3.3 CMB analysis process 71 3.4 Component health risk assessment of PM2.5 73 3.5 Uncertainty in analysis of risk 79 Chapter 4 Analysis of composition and health risk 83 4.1 Aerosol composition and concentration 83 4.2 Source apportionment using CMB 90 4.3 Assessment of risk of chemical composition to human health 102 4.5 Uncertainty analysis of components of health risk 115 4.5 Health‐risk assessment using an epidemiological method 120 Chapter 5 Integration of the health risk assessment method: case study in four urban monitoring stations 125 Chapter 6 Conclusions and Suggestions 141 6.1 Conclusions 141 6.2 Suggestions for decision maker and further research 143 References 145 Appendix A 157 Appendix B 161 | - |
| dc.language.iso | en | - |
| dc.subject | 微量元素 | zh_TW |
| dc.subject | 細懸浮微粒 | zh_TW |
| dc.subject | 受體模式 | zh_TW |
| dc.subject | 風險評估 | zh_TW |
| dc.subject | 源解析 | zh_TW |
| dc.subject | Risk assessment | en |
| dc.subject | Fine particulate matter | en |
| dc.subject | Trace element | en |
| dc.subject | Source apportionment | en |
| dc.subject | Receptor model | en |
| dc.title | 細懸浮微粒來源解析及成分健康風險評估方法建立 | zh_TW |
| dc.title | Source Apportionment of Ambient PM2.5 and Establishment of Health Risk Assessment Method for Components | en |
| dc.title.alternative | Source Apportionment of Ambient PM2.5 and Establishment of Health Risk Assessment Method for Components | - |
| dc.type | Thesis | - |
| dc.date.schoolyear | 111-1 | - |
| dc.description.degree | 博士 | - |
| dc.contributor.oralexamcommittee | 張慶源;席行正;于昌平;賴信志 | zh_TW |
| dc.contributor.oralexamcommittee | Ching-Yuan Chang;Hsing-Cheng Hsi;Chang-Ping Yu;Hsin-Chih Lai | en |
| dc.subject.keyword | 細懸浮微粒,微量元素,源解析,受體模式,風險評估, | zh_TW |
| dc.subject.keyword | Fine particulate matter,Trace element,Source apportionment,Receptor model,Risk assessment, | en |
| dc.relation.page | 164 | - |
| dc.identifier.doi | 10.6342/NTU202210073 | - |
| dc.rights.note | 未授權 | - |
| dc.date.accepted | 2022-11-28 | - |
| dc.contributor.author-college | 工學院 | - |
| dc.contributor.author-dept | 環境工程學研究所 | - |
| Appears in Collections: | 環境工程學研究所 | |
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| U0001-1221221122361003.pdf Restricted Access | 4.78 MB | Adobe PDF |
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