AI SearchApplying multiple statistical approaches to predict the spatial distribution of soil contaminants in the Chao Phraya Watershed (Record no. 7348)
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| fixed length control field | 05522nas a2200469 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260817163104.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 210704s2021 th u m rtt 000 a eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b12371877 |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.EV-21-03 |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Chor Pangara |
| 245 10 - TITLE STATEMENT | |
| Title | Applying multiple statistical approaches to predict the spatial distribution of soil contaminants in the Chao Phraya Watershed |
| 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. | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 62 leaves : |
| Other physical details | ill. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. EV-21-03 |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Environmental Engineering and Management |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M. Eng.) - Asian Institute of Technology, 2021 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | A study using inverse distance weighted, inverse distance weighted with land use, ordinary kriging, ordinary kriging with land use and geographically weighted regression is done to compare their performances for soil contaminants (total carbon, total nitrogen, total phosphorus, lead, mercury, arsenic, cadmium, chromium, nickel, copper and zinc) prediction in the Chao Phraya watershed. Ordinary kriging with land use has the best performance with root mean square error at 16.22 with inverse distance weighted having the highest root mean square error for total carbon. Geographically weighted regression underperforms with its root mean square error at 1.38 while ordinary kriging with land use has 0,99 which is the best result for total nitrogen. For total phosphorus, inverse distance weighted completely underperformed with its root mean square error at 0.77 when compared to the other four methods and ordinary kriging with land use with root mean square at 0.53 still perform better than the rest. As for lead, cadmium and zinc, geographically weighted regression performance improves with its root mean square error at 41.35, 0.64 and 252.43, respectively when compared to other methods. For total carbon, geographically weighted regression prediction map shows high concentration at more than 80 grams per kilogram to the northern most part of the basin while the other four methods show that such high concentration only occur at the north-eastern part of the basin. The lower part where it is mostly plain shows consistent concentration of less than 20 grams per kilogram. For total nitrogen, geographically weighted regression maps follow the same trend as total carbon geographically weighted regression map with the northern most part having high concentration at more than 4.5 grams per kilogram. The plain area where paddy land resides has consistent concentration of less than 1.5 grams per kilogram. For total phosphorus, ordinary kriging with land use show that large variation occurs between urban land and other type of land use. The concentration can go as high as 1 gram per kilogram at the most populated and urbanized area. Geographically weighted regression model can generate a spatially varied pollutants distribution due to its nature of correlating different factors including human factors to the pollutant{u2019}s nature. However, the prediction accuracy while acceptable cannot outperform ordinary kriging with land use method. Since land use is very important, converting land use to binary maps for each land use type cannot properly explain the spatial distribution of pollutants. Land use stratified method produce the best results of all the methods. This is due to the importance of land use types as it is the main indicator of pollutants source. The assumption that pollutants will be varied in different types of land use hold true. Among the five methods, the ordinary kriging with land use performs the best followed by geographically weighted regression, inverse distance weighted with land use, ordinary kriging, and inverse distance weighted, respectively. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Spatial ecology |
| General subdivision | Environmental aspects |
| Geographic subdivision | Thailand |
| -- | Chao Phraya Watershed |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Multiple comparisons (Statistics) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Environmental monitoring |
| General subdivision | Geographic information systems |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Xue, Wenchao, |
| Relator term | Chairperson |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Ekbordin Winijkul, |
| Relator term | Examination committee |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Shrestha, Sangam, |
| Relator term | Examination Committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Loom Nam Khong Pijai (Greater Mekong Subregion) Scholarships, |
| 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-21-03 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B13452">http://203.159.5.9/ait-thesis/detail.php?q=B13452</a> |
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| Koha item type | 40-Archives |
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| CREATED | CREATED : 2021-07-14 |
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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-21-03 | 30050120886030 | 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-21-03 | 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-21-03 | 30050121022262 | 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-21-03 | 30050121022254 | 17/08/2026 | 2 | 17/08/2026 | 20-AIT Publication | 50.00 |