AI SearchApplication of synoptic climatological classification to predict fine particulate matter concentration in the Bangkok metropolitan region (Record no. 6855)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04882nas a2200481 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260817162949.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 200708s2020 th u m rtt 000 a eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b12346706 |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.EV-20-06 |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Nuttawadee Chanwaro |
| 245 10 - TITLE STATEMENT | |
| Title | Application of synoptic climatological classification to predict fine particulate matter concentration in the Bangkok metropolitan region |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathum Thani, Thailand : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 77 leaves : |
| Other physical details | ill. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. EV-20-06 |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Environmental Engineering and Management |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M. Sc.) - Asian Institute of Technology, 2020 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This study aimed at developing a warning system for high PM2.5 concentration based on the synoptic patterns in Bangkok Metropolitan Region (BMR). Six synoptic patterns were identified for each day during January {u2013} May and November {u2013} December of 2017 - 2018 by using nineteen meteorological parameters from seven regional meteorological stations. Then, the PM2.5 prediction models were developed for different synoptic patterns, and the warning tool which was related to the maximum 24-hr average PM2.5 concentration in BMR was discussed. The result of the different synoptic patterns showed that the means of maximum PM2.5 concentration were 44.6, 46.9, 28.1, 41.8, 44.3 and 43.5 æg/m3 for synoptic patterns 1-6, respectively. Percent of the days exceeding the National Ambient Air Quality Standard (NAAQS) of the synoptic pattern 1 to 6 were 34.5, 41.0, 4.5, 27.9, 30.4 and 37.1%, respectively. Moreover, the maximum concentration of PM2.5 in each synoptic pattern were 88.8, 115.0, 73.0, 97.1, 108.6 and 105.5 æg/m3, respectively. Thus, in this study, based on the information of mean, maximum and number of days exceeding standard, two priority synoptic patterns which showed high PM2.5 concentration in BMR were synoptic pattern 2 and 6. The synoptic pattern 3 was identified as low PM2.5 concentration pattern. The results of the linear regression analysis which was used to developed the PM2.5 prediction model exhibited reasonable agreement between the observed and predicted PM2.5 concentration in BMR with the coefficient of determination during January {u2013} May and November {u2013} December of 2017 {u2013} 2018. The link between synoptic pattern and the Air Quality Index (AQI) showed that the synoptic pattern 2 and 6 presented the air quality as unhealthy. Thus, most people should reduce their outdoor activities and they have to protect themselves by using protecting equipment in these synoptic patterns. Synoptic pattern one, four and five were at moderate level of AQI. Thus, general people could do outdoor activities, but sensitive group people should not do the outdoor activities. Finally, synoptic pattern three presented the air quality as satisfactory. Therefore, all people could do outdoor activities and travel due to good air quality. Finally, the warning system which would use the meteorological data of the new day to identify the synoptic pattern which can be linked to the level of maximum 24-hr PM2.5 concentration in BMR was suggested. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Air |
| General subdivision | Pollution |
| Geographic subdivision | Thailand |
| -- | Bangkok |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Air Quality |
| Geographic subdivision | Thailand |
| -- | Bangkok |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Climatology |
| Geographic subdivision | Thailand |
| -- | Bangkok |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ekbordin Winijkul, |
| Relator term | Chairperson |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Nguyen, Thi Kim Oanh, |
| Relator term | Examination Committee |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dhakal, Shobhakar, |
| Relator term | Examination Committee |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Xue, Wenchao, |
| Relator term | Examination committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Her Majesty the Queen{u2019}s Scholarships (Thailand), |
| Relator term | Scholarship donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Thesis ; |
| Volume/sequential designation | no. EV-20-06 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B17082">http://203.159.5.9/ait-thesis/detail.php?q=B17082</a> |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
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| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 200708 |
| First date, FD (RLIN) | m |
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| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnait |
| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
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| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 40-Archives |
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| Koha item type | 67-Electronic Resource |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 20-AIT Publication |
| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : 30050120889893 |
| CREATED | CREATED : 2020-06-29 |
| RECORD Id | RECORD # : i13279427 |
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| Barcode | Barcode : 30050120976781 |
| CREATED | CREATED : 2020-09-10 |
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| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type | Cost, normal purchase price |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT Thesis no.EV-20-06 | 30050120889893 | 17/08/2026 | 1 | 17/08/2026 | 40-Archives | |||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT Thesis no.EV-20-06 | 17/08/2026 | 17/08/2026 | 67-Electronic Resource | |||||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | AIT Publications | 17/08/2026 | AIT Thesis no.EV-20-06 | 30050120976781 | 17/08/2026 | 1 | 17/08/2026 | 20-AIT Publication | 50.00 | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | AIT Publications | 17/08/2026 | AIT Thesis no.EV-20-06 | 30050120976773 | 17/08/2026 | 2 | 17/08/2026 | 20-AIT Publication | 50.00 |