Combined use of principal component analysis/multiple linear regression analysis and artificial neural network to assess the impact of meteorological parameters on fluctuation of selected PM2.5-bound elements Article Swipe
Siwatt Pongpiachan
,
Qiyuan Wang
,
Ronbanchob Apiratikul
,
Danai Tipmanee
,
Li Li
,
Xing Li
,
Xingli Mao
,
Guohui Li
,
Yongming Han
,
Junji Cao
,
Vanisa Surapipith
,
Aekkapol Aekakkararungroj
,
S. Poshyachinda
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0287187
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0287187
Based on the data of the State of Global Air (2020), air quality deterioration in Thailand has caused ~32,000 premature deaths, while the World Health Organization evaluated that air pollutants can decrease the life expectancy in the country by two years. PM 2.5 was collected at three air quality observatory sites in Chiang-Mai, Bangkok, and Phuket, Thailand, from July 2020 to June 2021. The concentrations of 25 elements (Na, Mg, Al, Si, S, Cl, K, Ca, Sc, Ti, V, Cr, Mn, Fe, Co, Ni, Cu, Zn, Ga, As, Se, Br, Sr, Ba, and Pb) were quantitatively characterised using energy-dispersive X-ray fluorescence spectrometry. Potential adverse health impacts of some element exposures from inhaling PM 2.5 were estimated by employing the hazard quotient and excess lifetime cancer risk. Higher cancer risks were detected in PM 2.5 samples collected at the sampling site in Bangkok, indicating that vehicle exhaust adversely impacts human health. Principal component analysis suggests that traffic emissions, crustal inputs coupled with maritime aerosols, and construction dust were the three main potential sources of PM 2.5 . Artificial neural networks underlined agricultural waste burning and relative humidity as two major factors controlling the air quality of Thailand.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0287187
- https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0287187&type=printable
- OA Status
- gold
- Cited By
- 9
- References
- 124
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392983278
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4392983278Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1371/journal.pone.0287187Digital Object Identifier
- Title
-
Combined use of principal component analysis/multiple linear regression analysis and artificial neural network to assess the impact of meteorological parameters on fluctuation of selected PM2.5-bound elementsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-20Full publication date if available
- Authors
-
Siwatt Pongpiachan, Qiyuan Wang, Ronbanchob Apiratikul, Danai Tipmanee, Li Li, Xing Li, Xingli Mao, Guohui Li, Yongming Han, Junji Cao, Vanisa Surapipith, Aekkapol Aekakkararungroj, S. PoshyachindaList of authors in order
- Landing page
-
https://doi.org/10.1371/journal.pone.0287187Publisher landing page
- PDF URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0287187&type=printableDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0287187&type=printableDirect OA link when available
- Concepts
-
Air quality index, Hazard quotient, Principal component analysis, Environmental science, Relative humidity, Pollutant, Meteorology, Environmental health, Environmental engineering, Human health, Geography, Statistics, Chemistry, Mathematics, Medicine, Organic chemistryTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
9Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 7, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
124Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4392983278 |
|---|---|
| doi | https://doi.org/10.1371/journal.pone.0287187 |
| ids.doi | https://doi.org/10.1371/journal.pone.0287187 |
| ids.pmid | https://pubmed.ncbi.nlm.nih.gov/38507443 |
| ids.openalex | https://openalex.org/W4392983278 |
| fwci | 5.84300492 |
| mesh[0].qualifier_ui | |
| mesh[0].descriptor_ui | D006801 |
| mesh[0].is_major_topic | False |
| mesh[0].qualifier_name | |
| mesh[0].descriptor_name | Humans |
| mesh[1].qualifier_ui | |
| mesh[1].descriptor_ui | D025341 |
| mesh[1].is_major_topic | False |
| mesh[1].qualifier_name | |
| mesh[1].descriptor_name | Principal Component Analysis |
| mesh[2].qualifier_ui | |
| mesh[2].descriptor_ui | D004784 |
| mesh[2].is_major_topic | False |
| mesh[2].qualifier_name | |
| mesh[2].descriptor_name | Environmental Monitoring |
| mesh[3].qualifier_ui | |
| mesh[3].descriptor_ui | D013785 |
| mesh[3].is_major_topic | False |
| mesh[3].qualifier_name | |
| mesh[3].descriptor_name | Thailand |
| mesh[4].qualifier_ui | Q000032 |
| mesh[4].descriptor_ui | D000393 |
| mesh[4].is_major_topic | True |
| mesh[4].qualifier_name | analysis |
| mesh[4].descriptor_name | Air Pollutants |
| mesh[5].qualifier_ui | Q000032 |
| mesh[5].descriptor_ui | D004391 |
| mesh[5].is_major_topic | False |
| mesh[5].qualifier_name | analysis |
| mesh[5].descriptor_name | Dust |
| mesh[6].qualifier_ui | |
| mesh[6].descriptor_ui | D012044 |
| mesh[6].is_major_topic | False |
| mesh[6].qualifier_name | |
| mesh[6].descriptor_name | Regression Analysis |
| mesh[7].qualifier_ui | |
| mesh[7].descriptor_ui | D009369 |
| mesh[7].is_major_topic | True |
| mesh[7].qualifier_name | |
| mesh[7].descriptor_name | Neoplasms |
| mesh[8].qualifier_ui | Q000032 |
| mesh[8].descriptor_ui | D052638 |
| mesh[8].is_major_topic | False |
| mesh[8].qualifier_name | analysis |
| mesh[8].descriptor_name | Particulate Matter |
| mesh[9].qualifier_ui | |
| mesh[9].descriptor_ui | D006801 |
| mesh[9].is_major_topic | False |
| mesh[9].qualifier_name | |
| mesh[9].descriptor_name | Humans |
| mesh[10].qualifier_ui | |
| mesh[10].descriptor_ui | D025341 |
| mesh[10].is_major_topic | False |
| mesh[10].qualifier_name | |
| mesh[10].descriptor_name | Principal Component Analysis |
| mesh[11].qualifier_ui | |
| mesh[11].descriptor_ui | D004784 |
| mesh[11].is_major_topic | False |
| mesh[11].qualifier_name | |
| mesh[11].descriptor_name | Environmental Monitoring |
| mesh[12].qualifier_ui | |
| mesh[12].descriptor_ui | D013785 |
| mesh[12].is_major_topic | False |
| mesh[12].qualifier_name | |
| mesh[12].descriptor_name | Thailand |
| mesh[13].qualifier_ui | Q000032 |
| mesh[13].descriptor_ui | D000393 |
| mesh[13].is_major_topic | True |
| mesh[13].qualifier_name | analysis |
| mesh[13].descriptor_name | Air Pollutants |
| mesh[14].qualifier_ui | Q000032 |
| mesh[14].descriptor_ui | D004391 |
| mesh[14].is_major_topic | False |
| mesh[14].qualifier_name | analysis |
| mesh[14].descriptor_name | Dust |
| mesh[15].qualifier_ui | |
| mesh[15].descriptor_ui | D012044 |
| mesh[15].is_major_topic | False |
| mesh[15].qualifier_name | |
| mesh[15].descriptor_name | Regression Analysis |
| mesh[16].qualifier_ui | |
| mesh[16].descriptor_ui | D009369 |
| mesh[16].is_major_topic | True |
| mesh[16].qualifier_name | |
| mesh[16].descriptor_name | Neoplasms |
| mesh[17].qualifier_ui | Q000032 |
| mesh[17].descriptor_ui | D052638 |
| mesh[17].is_major_topic | False |
| mesh[17].qualifier_name | analysis |
| mesh[17].descriptor_name | Particulate Matter |
| mesh[18].qualifier_ui | |
| mesh[18].descriptor_ui | D006801 |
| mesh[18].is_major_topic | False |
| mesh[18].qualifier_name | |
| mesh[18].descriptor_name | Humans |
| mesh[19].qualifier_ui | |
| mesh[19].descriptor_ui | D025341 |
| mesh[19].is_major_topic | False |
| mesh[19].qualifier_name | |
| mesh[19].descriptor_name | Principal Component Analysis |
| mesh[20].qualifier_ui | |
| mesh[20].descriptor_ui | D004784 |
| mesh[20].is_major_topic | False |
| mesh[20].qualifier_name | |
| mesh[20].descriptor_name | Environmental Monitoring |
| mesh[21].qualifier_ui | |
| mesh[21].descriptor_ui | D013785 |
| mesh[21].is_major_topic | False |
| mesh[21].qualifier_name | |
| mesh[21].descriptor_name | Thailand |
| mesh[22].qualifier_ui | Q000032 |
| mesh[22].descriptor_ui | D000393 |
| mesh[22].is_major_topic | True |
| mesh[22].qualifier_name | analysis |
| mesh[22].descriptor_name | Air Pollutants |
| mesh[23].qualifier_ui | Q000032 |
| mesh[23].descriptor_ui | D004391 |
| mesh[23].is_major_topic | False |
| mesh[23].qualifier_name | analysis |
| mesh[23].descriptor_name | Dust |
| mesh[24].qualifier_ui | |
| mesh[24].descriptor_ui | D012044 |
| mesh[24].is_major_topic | False |
| mesh[24].qualifier_name | |
| mesh[24].descriptor_name | Regression Analysis |
| mesh[25].qualifier_ui | |
| mesh[25].descriptor_ui | D009369 |
| mesh[25].is_major_topic | True |
| mesh[25].qualifier_name | |
| mesh[25].descriptor_name | Neoplasms |
| mesh[26].qualifier_ui | Q000032 |
| mesh[26].descriptor_ui | D052638 |
| mesh[26].is_major_topic | False |
| mesh[26].qualifier_name | analysis |
| mesh[26].descriptor_name | Particulate Matter |
| mesh[27].qualifier_ui | |
| mesh[27].descriptor_ui | D006801 |
| mesh[27].is_major_topic | False |
| mesh[27].qualifier_name | |
| mesh[27].descriptor_name | Humans |
| mesh[28].qualifier_ui | |
| mesh[28].descriptor_ui | D025341 |
| mesh[28].is_major_topic | False |
| mesh[28].qualifier_name | |
| mesh[28].descriptor_name | Principal Component Analysis |
| mesh[29].qualifier_ui | |
| mesh[29].descriptor_ui | D004784 |
| mesh[29].is_major_topic | False |
| mesh[29].qualifier_name | |
| mesh[29].descriptor_name | Environmental Monitoring |
| mesh[30].qualifier_ui | |
| mesh[30].descriptor_ui | D013785 |
| mesh[30].is_major_topic | False |
| mesh[30].qualifier_name | |
| mesh[30].descriptor_name | Thailand |
| mesh[31].qualifier_ui | Q000032 |
| mesh[31].descriptor_ui | D000393 |
| mesh[31].is_major_topic | True |
| mesh[31].qualifier_name | analysis |
| mesh[31].descriptor_name | Air Pollutants |
| mesh[32].qualifier_ui | Q000032 |
| mesh[32].descriptor_ui | D004391 |
| mesh[32].is_major_topic | False |
| mesh[32].qualifier_name | analysis |
| mesh[32].descriptor_name | Dust |
| mesh[33].qualifier_ui | |
| mesh[33].descriptor_ui | D012044 |
| mesh[33].is_major_topic | False |
| mesh[33].qualifier_name | |
| mesh[33].descriptor_name | Regression Analysis |
| mesh[34].qualifier_ui | |
| mesh[34].descriptor_ui | D009369 |
| mesh[34].is_major_topic | True |
| mesh[34].qualifier_name | |
| mesh[34].descriptor_name | Neoplasms |
| mesh[35].qualifier_ui | Q000032 |
| mesh[35].descriptor_ui | D052638 |
| mesh[35].is_major_topic | False |
| mesh[35].qualifier_name | analysis |
| mesh[35].descriptor_name | Particulate Matter |
| type | article |
| title | Combined use of principal component analysis/multiple linear regression analysis and artificial neural network to assess the impact of meteorological parameters on fluctuation of selected PM2.5-bound elements |
| biblio.issue | 3 |
| biblio.volume | 19 |
| biblio.last_page | e0287187 |
| biblio.first_page | e0287187 |
| topics[0].id | https://openalex.org/T10190 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9997000098228455 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2307 |
| topics[0].subfield.display_name | Health, Toxicology and Mutagenesis |
| topics[0].display_name | Air Quality and Health Impacts |
| topics[1].id | https://openalex.org/T12120 |
| topics[1].field.id | https://openalex.org/fields/23 |
| topics[1].field.display_name | Environmental Science |
| topics[1].score | 0.9937999844551086 |
| topics[1].domain.id | https://openalex.org/domains/3 |
| topics[1].domain.display_name | Physical Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/2305 |
| topics[1].subfield.display_name | Environmental Engineering |
| topics[1].display_name | Air Quality Monitoring and Forecasting |
| topics[2].id | https://openalex.org/T10075 |
| topics[2].field.id | https://openalex.org/fields/19 |
| topics[2].field.display_name | Earth and Planetary Sciences |
| topics[2].score | 0.992900013923645 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1902 |
| topics[2].subfield.display_name | Atmospheric Science |
| topics[2].display_name | Atmospheric chemistry and aerosols |
| funders[0].id | https://openalex.org/F4320329659 |
| funders[0].ror | |
| funders[0].display_name | Thailand Science Research and Innovation |
| is_xpac | False |
| apc_list.value | 1805 |
| apc_list.currency | USD |
| apc_list.value_usd | 1805 |
| apc_paid.value | 1805 |
| apc_paid.currency | USD |
| apc_paid.value_usd | 1805 |
| concepts[0].id | https://openalex.org/C126314574 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7267069816589355 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q2364111 |
| concepts[0].display_name | Air quality index |
| concepts[1].id | https://openalex.org/C2779680964 |
| concepts[1].level | 3 |
| concepts[1].score | 0.6787897348403931 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q16947365 |
| concepts[1].display_name | Hazard quotient |
| concepts[2].id | https://openalex.org/C27438332 |
| concepts[2].level | 2 |
| concepts[2].score | 0.653029203414917 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q2873 |
| concepts[2].display_name | Principal component analysis |
| concepts[3].id | https://openalex.org/C39432304 |
| concepts[3].level | 0 |
| concepts[3].score | 0.6303165555000305 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[3].display_name | Environmental science |
| concepts[4].id | https://openalex.org/C158960510 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5048035383224487 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q180600 |
| concepts[4].display_name | Relative humidity |
| concepts[5].id | https://openalex.org/C82685317 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4576098620891571 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q19829510 |
| concepts[5].display_name | Pollutant |
| concepts[6].id | https://openalex.org/C153294291 |
| concepts[6].level | 1 |
| concepts[6].score | 0.410112202167511 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q25261 |
| concepts[6].display_name | Meteorology |
| concepts[7].id | https://openalex.org/C99454951 |
| concepts[7].level | 1 |
| concepts[7].score | 0.3668324947357178 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q932068 |
| concepts[7].display_name | Environmental health |
| concepts[8].id | https://openalex.org/C87717796 |
| concepts[8].level | 1 |
| concepts[8].score | 0.3528112769126892 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q146326 |
| concepts[8].display_name | Environmental engineering |
| concepts[9].id | https://openalex.org/C2987857752 |
| concepts[9].level | 2 |
| concepts[9].score | 0.2989346981048584 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q12147 |
| concepts[9].display_name | Human health |
| concepts[10].id | https://openalex.org/C205649164 |
| concepts[10].level | 0 |
| concepts[10].score | 0.21576839685440063 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[10].display_name | Geography |
| concepts[11].id | https://openalex.org/C105795698 |
| concepts[11].level | 1 |
| concepts[11].score | 0.21001073718070984 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[11].display_name | Statistics |
| concepts[12].id | https://openalex.org/C185592680 |
| concepts[12].level | 0 |
| concepts[12].score | 0.19658178091049194 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[12].display_name | Chemistry |
| concepts[13].id | https://openalex.org/C33923547 |
| concepts[13].level | 0 |
| concepts[13].score | 0.18860605359077454 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[13].display_name | Mathematics |
| concepts[14].id | https://openalex.org/C71924100 |
| concepts[14].level | 0 |
| concepts[14].score | 0.12141916155815125 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q11190 |
| concepts[14].display_name | Medicine |
| concepts[15].id | https://openalex.org/C178790620 |
| concepts[15].level | 1 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q11351 |
| concepts[15].display_name | Organic chemistry |
| keywords[0].id | https://openalex.org/keywords/air-quality-index |
| keywords[0].score | 0.7267069816589355 |
| keywords[0].display_name | Air quality index |
| keywords[1].id | https://openalex.org/keywords/hazard-quotient |
| keywords[1].score | 0.6787897348403931 |
| keywords[1].display_name | Hazard quotient |
| keywords[2].id | https://openalex.org/keywords/principal-component-analysis |
| keywords[2].score | 0.653029203414917 |
| keywords[2].display_name | Principal component analysis |
| keywords[3].id | https://openalex.org/keywords/environmental-science |
| keywords[3].score | 0.6303165555000305 |
| keywords[3].display_name | Environmental science |
| keywords[4].id | https://openalex.org/keywords/relative-humidity |
| keywords[4].score | 0.5048035383224487 |
| keywords[4].display_name | Relative humidity |
| keywords[5].id | https://openalex.org/keywords/pollutant |
| keywords[5].score | 0.4576098620891571 |
| keywords[5].display_name | Pollutant |
| keywords[6].id | https://openalex.org/keywords/meteorology |
| keywords[6].score | 0.410112202167511 |
| keywords[6].display_name | Meteorology |
| keywords[7].id | https://openalex.org/keywords/environmental-health |
| keywords[7].score | 0.3668324947357178 |
| keywords[7].display_name | Environmental health |
| keywords[8].id | https://openalex.org/keywords/environmental-engineering |
| keywords[8].score | 0.3528112769126892 |
| keywords[8].display_name | Environmental engineering |
| keywords[9].id | https://openalex.org/keywords/human-health |
| keywords[9].score | 0.2989346981048584 |
| keywords[9].display_name | Human health |
| keywords[10].id | https://openalex.org/keywords/geography |
| keywords[10].score | 0.21576839685440063 |
| keywords[10].display_name | Geography |
| keywords[11].id | https://openalex.org/keywords/statistics |
| keywords[11].score | 0.21001073718070984 |
| keywords[11].display_name | Statistics |
| keywords[12].id | https://openalex.org/keywords/chemistry |
| keywords[12].score | 0.19658178091049194 |
| keywords[12].display_name | Chemistry |
| keywords[13].id | https://openalex.org/keywords/mathematics |
| keywords[13].score | 0.18860605359077454 |
| keywords[13].display_name | Mathematics |
| keywords[14].id | https://openalex.org/keywords/medicine |
| keywords[14].score | 0.12141916155815125 |
| keywords[14].display_name | Medicine |
| language | en |
| locations[0].id | doi:10.1371/journal.pone.0287187 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S202381698 |
| locations[0].source.issn | 1932-6203 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1932-6203 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | True |
| locations[0].source.display_name | PLoS ONE |
| locations[0].source.host_organization | https://openalex.org/P4310315706 |
| locations[0].source.host_organization_name | Public Library of Science |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310315706 |
| locations[0].source.host_organization_lineage_names | Public Library of Science |
| locations[0].license | cc-by |
| locations[0].pdf_url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0287187&type=printable |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | PLOS ONE |
| locations[0].landing_page_url | https://doi.org/10.1371/journal.pone.0287187 |
| locations[1].id | pmid:38507443 |
| locations[1].is_oa | False |
| locations[1].source.id | https://openalex.org/S4306525036 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | PubMed |
| locations[1].source.host_organization | https://openalex.org/I1299303238 |
| locations[1].source.host_organization_name | National Institutes of Health |
| locations[1].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[1].license | |
| locations[1].pdf_url | |
| locations[1].version | publishedVersion |
| locations[1].raw_type | |
| locations[1].license_id | |
| locations[1].is_accepted | True |
| locations[1].is_published | True |
| locations[1].raw_source_name | PloS one |
| locations[1].landing_page_url | https://pubmed.ncbi.nlm.nih.gov/38507443 |
| locations[2].id | pmh:oai:pubmedcentral.nih.gov:10954151 |
| locations[2].is_oa | True |
| locations[2].source.id | https://openalex.org/S2764455111 |
| locations[2].source.issn | |
| locations[2].source.type | repository |
| locations[2].source.is_oa | False |
| locations[2].source.issn_l | |
| locations[2].source.is_core | False |
| locations[2].source.is_in_doaj | False |
| locations[2].source.display_name | PubMed Central |
| locations[2].source.host_organization | https://openalex.org/I1299303238 |
| locations[2].source.host_organization_name | National Institutes of Health |
| locations[2].source.host_organization_lineage | https://openalex.org/I1299303238 |
| locations[2].license | cc-by |
| locations[2].pdf_url | https://pmc.ncbi.nlm.nih.gov/articles/PMC10954151/pdf/pone.0287187.pdf |
| locations[2].version | submittedVersion |
| locations[2].raw_type | Text |
| locations[2].license_id | https://openalex.org/licenses/cc-by |
| locations[2].is_accepted | False |
| locations[2].is_published | False |
| locations[2].raw_source_name | PLoS One |
| locations[2].landing_page_url | https://www.ncbi.nlm.nih.gov/pmc/articles/10954151 |
| locations[3].id | pmh:oai:doaj.org/article:98d2f2b2cc0344c4a68b92d8cd30adc6 |
| locations[3].is_oa | False |
| locations[3].source.id | https://openalex.org/S4306401280 |
| locations[3].source.issn | |
| locations[3].source.type | repository |
| locations[3].source.is_oa | False |
| locations[3].source.issn_l | |
| locations[3].source.is_core | False |
| locations[3].source.is_in_doaj | False |
| locations[3].source.display_name | DOAJ (DOAJ: Directory of Open Access Journals) |
| locations[3].source.host_organization | |
| locations[3].source.host_organization_name | |
| locations[3].license | |
| locations[3].pdf_url | |
| locations[3].version | submittedVersion |
| locations[3].raw_type | article |
| locations[3].license_id | |
| locations[3].is_accepted | False |
| locations[3].is_published | False |
| locations[3].raw_source_name | PLoS ONE, Vol 19, Iss 3, p e0287187 (2024) |
| locations[3].landing_page_url | https://doaj.org/article/98d2f2b2cc0344c4a68b92d8cd30adc6 |
| indexed_in | crossref, doaj, pubmed |
| authorships[0].author.id | https://openalex.org/A5051691885 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-1062-7627 |
| authorships[0].author.display_name | Siwatt Pongpiachan |
| authorships[0].countries | TH |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I159665162 |
| authorships[0].affiliations[0].raw_affiliation_string | NIDA Center for Research & Development of Disaster Prevention & Management, School of Social and Environmental Development, National Institute of Development Administration (NIDA), Bangkok, Thailand |
| authorships[0].institutions[0].id | https://openalex.org/I159665162 |
| authorships[0].institutions[0].ror | https://ror.org/010g30191 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I159665162 |
| authorships[0].institutions[0].country_code | TH |
| authorships[0].institutions[0].display_name | National Institute of Development Administration |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Siwatt Pongpiachan |
| authorships[0].is_corresponding | True |
| authorships[0].raw_affiliation_strings | NIDA Center for Research & Development of Disaster Prevention & Management, School of Social and Environmental Development, National Institute of Development Administration (NIDA), Bangkok, Thailand |
| authorships[1].author.id | https://openalex.org/A5024156060 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-2529-6226 |
| authorships[1].author.display_name | Qiyuan Wang |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210159790 |
| authorships[1].affiliations[0].raw_affiliation_string | State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences (IEECAS), Xi'an, China |
| authorships[1].institutions[0].id | https://openalex.org/I19820366 |
| authorships[1].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[1].institutions[0].type | government |
| authorships[1].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[1].institutions[1].id | https://openalex.org/I4210159790 |
| authorships[1].institutions[1].ror | https://ror.org/04nps9965 |
| authorships[1].institutions[1].type | facility |
| authorships[1].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210159790 |
| authorships[1].institutions[1].country_code | CN |
| authorships[1].institutions[1].display_name | Institute of Earth Environment |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Qiyuan Wang |
| authorships[1].is_corresponding | True |
| authorships[1].raw_affiliation_strings | State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences (IEECAS), Xi'an, China |
| authorships[2].author.id | https://openalex.org/A5050400730 |
| authorships[2].author.orcid | https://orcid.org/0000-0002-5556-8184 |
| authorships[2].author.display_name | Ronbanchob Apiratikul |
| authorships[2].countries | TH |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210105946 |
| authorships[2].affiliations[0].raw_affiliation_string | Faculty of Science, Suansunandha Rajabhat, Bangkok, Thailand |
| authorships[2].institutions[0].id | https://openalex.org/I4210105946 |
| authorships[2].institutions[0].ror | https://ror.org/01sj5ez28 |
| authorships[2].institutions[0].type | education |
| authorships[2].institutions[0].lineage | https://openalex.org/I4210105946 |
| authorships[2].institutions[0].country_code | TH |
| authorships[2].institutions[0].display_name | Suan Sunandha Rajabhat University |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Ronbanchob Apiratikul |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | Faculty of Science, Suansunandha Rajabhat, Bangkok, Thailand |
| authorships[3].author.id | https://openalex.org/A5083804161 |
| authorships[3].author.orcid | https://orcid.org/0009-0003-6370-0725 |
| authorships[3].author.display_name | Danai Tipmanee |
| authorships[3].countries | TH |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I131868736 |
| authorships[3].affiliations[0].raw_affiliation_string | Faculty of Technology and Environment, Prince of Songkla University, Phuket, Thailand |
| authorships[3].institutions[0].id | https://openalex.org/I131868736 |
| authorships[3].institutions[0].ror | https://ror.org/0575ycz84 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I131868736 |
| authorships[3].institutions[0].country_code | TH |
| authorships[3].institutions[0].display_name | Prince of Songkla University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Danai Tipmanee |
| authorships[3].is_corresponding | True |
| authorships[3].raw_affiliation_strings | Faculty of Technology and Environment, Prince of Songkla University, Phuket, Thailand |
| authorships[4].author.id | https://openalex.org/A5105235533 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-8605-7160 |
| authorships[4].author.display_name | Li Li |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210159790 |
| authorships[4].affiliations[0].raw_affiliation_string | State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences (IEECAS), Xi'an, China |
| authorships[4].institutions[0].id | https://openalex.org/I19820366 |
| authorships[4].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[4].institutions[0].type | government |
| authorships[4].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[4].institutions[1].id | https://openalex.org/I4210159790 |
| authorships[4].institutions[1].ror | https://ror.org/04nps9965 |
| authorships[4].institutions[1].type | facility |
| authorships[4].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210159790 |
| authorships[4].institutions[1].country_code | CN |
| authorships[4].institutions[1].display_name | Institute of Earth Environment |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Li Li |
| authorships[4].is_corresponding | True |
| authorships[4].raw_affiliation_strings | State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences (IEECAS), Xi'an, China |
| authorships[5].author.id | https://openalex.org/A5100608648 |
| authorships[5].author.orcid | https://orcid.org/0000-0002-1928-4774 |
| authorships[5].author.display_name | Xing Li |
| authorships[5].countries | CN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I88830068 |
| authorships[5].affiliations[0].raw_affiliation_string | School of Geography and Tourism, Shaanxi Normal University, Xi'an, China |
| authorships[5].institutions[0].id | https://openalex.org/I88830068 |
| authorships[5].institutions[0].ror | https://ror.org/0170z8493 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I88830068 |
| authorships[5].institutions[0].country_code | CN |
| authorships[5].institutions[0].display_name | Shaanxi Normal University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Li Xing |
| authorships[5].is_corresponding | True |
| authorships[5].raw_affiliation_strings | School of Geography and Tourism, Shaanxi Normal University, Xi'an, China |
| authorships[6].author.id | https://openalex.org/A5108910159 |
| authorships[6].author.orcid | |
| authorships[6].author.display_name | Xingli Mao |
| authorships[6].countries | CN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I88830068 |
| authorships[6].affiliations[0].raw_affiliation_string | School of Geography and Tourism, Shaanxi Normal University, Xi'an, China |
| authorships[6].institutions[0].id | https://openalex.org/I88830068 |
| authorships[6].institutions[0].ror | https://ror.org/0170z8493 |
| authorships[6].institutions[0].type | education |
| authorships[6].institutions[0].lineage | https://openalex.org/I88830068 |
| authorships[6].institutions[0].country_code | CN |
| authorships[6].institutions[0].display_name | Shaanxi Normal University |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Xingli Mao |
| authorships[6].is_corresponding | True |
| authorships[6].raw_affiliation_strings | School of Geography and Tourism, Shaanxi Normal University, Xi'an, China |
| authorships[7].author.id | https://openalex.org/A5100337870 |
| authorships[7].author.orcid | https://orcid.org/0000-0001-8868-7123 |
| authorships[7].author.display_name | Guohui Li |
| authorships[7].countries | CN |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210159790 |
| authorships[7].affiliations[0].raw_affiliation_string | State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences (IEECAS), Xi'an, China |
| authorships[7].institutions[0].id | https://openalex.org/I19820366 |
| authorships[7].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[7].institutions[0].type | government |
| authorships[7].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[7].institutions[0].country_code | CN |
| authorships[7].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[7].institutions[1].id | https://openalex.org/I4210159790 |
| authorships[7].institutions[1].ror | https://ror.org/04nps9965 |
| authorships[7].institutions[1].type | facility |
| authorships[7].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210159790 |
| authorships[7].institutions[1].country_code | CN |
| authorships[7].institutions[1].display_name | Institute of Earth Environment |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Guohui Li |
| authorships[7].is_corresponding | True |
| authorships[7].raw_affiliation_strings | State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences (IEECAS), Xi'an, China |
| authorships[8].author.id | https://openalex.org/A5113463331 |
| authorships[8].author.orcid | https://orcid.org/0000-0002-1282-1354 |
| authorships[8].author.display_name | Yongming Han |
| authorships[8].countries | CN |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210159790 |
| authorships[8].affiliations[0].raw_affiliation_string | State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences (IEECAS), Xi'an, China |
| authorships[8].institutions[0].id | https://openalex.org/I19820366 |
| authorships[8].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[8].institutions[0].type | government |
| authorships[8].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[8].institutions[0].country_code | CN |
| authorships[8].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[8].institutions[1].id | https://openalex.org/I4210159790 |
| authorships[8].institutions[1].ror | https://ror.org/04nps9965 |
| authorships[8].institutions[1].type | facility |
| authorships[8].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210159790 |
| authorships[8].institutions[1].country_code | CN |
| authorships[8].institutions[1].display_name | Institute of Earth Environment |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Yongming Han |
| authorships[8].is_corresponding | True |
| authorships[8].raw_affiliation_strings | State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences (IEECAS), Xi'an, China |
| authorships[9].author.id | https://openalex.org/A5000320455 |
| authorships[9].author.orcid | https://orcid.org/0000-0003-1000-7241 |
| authorships[9].author.display_name | Junji Cao |
| authorships[9].countries | CN |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I19820366, https://openalex.org/I4210159790 |
| authorships[9].affiliations[0].raw_affiliation_string | State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences (IEECAS), Xi'an, China |
| authorships[9].institutions[0].id | https://openalex.org/I19820366 |
| authorships[9].institutions[0].ror | https://ror.org/034t30j35 |
| authorships[9].institutions[0].type | government |
| authorships[9].institutions[0].lineage | https://openalex.org/I19820366 |
| authorships[9].institutions[0].country_code | CN |
| authorships[9].institutions[0].display_name | Chinese Academy of Sciences |
| authorships[9].institutions[1].id | https://openalex.org/I4210159790 |
| authorships[9].institutions[1].ror | https://ror.org/04nps9965 |
| authorships[9].institutions[1].type | facility |
| authorships[9].institutions[1].lineage | https://openalex.org/I19820366, https://openalex.org/I4210159790 |
| authorships[9].institutions[1].country_code | CN |
| authorships[9].institutions[1].display_name | Institute of Earth Environment |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Junji Cao |
| authorships[9].is_corresponding | True |
| authorships[9].raw_affiliation_strings | State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences (IEECAS), Xi'an, China |
| authorships[10].author.id | https://openalex.org/A5078659528 |
| authorships[10].author.orcid | |
| authorships[10].author.display_name | Vanisa Surapipith |
| authorships[10].countries | TH |
| authorships[10].affiliations[0].institution_ids | https://openalex.org/I85156444 |
| authorships[10].affiliations[0].raw_affiliation_string | National Astronomical Research Institute of Thailand (Public Organization), Chiangmai, Thailand |
| authorships[10].institutions[0].id | https://openalex.org/I85156444 |
| authorships[10].institutions[0].ror | https://ror.org/027rw9342 |
| authorships[10].institutions[0].type | government |
| authorships[10].institutions[0].lineage | https://openalex.org/I2801080794, https://openalex.org/I4210129478, https://openalex.org/I85156444 |
| authorships[10].institutions[0].country_code | TH |
| authorships[10].institutions[0].display_name | National Astronomical Research Institute of Thailand |
| authorships[10].author_position | middle |
| authorships[10].raw_author_name | Vanisa Surapipith |
| authorships[10].is_corresponding | True |
| authorships[10].raw_affiliation_strings | National Astronomical Research Institute of Thailand (Public Organization), Chiangmai, Thailand |
| authorships[11].author.id | https://openalex.org/A5017787031 |
| authorships[11].author.orcid | |
| authorships[11].author.display_name | Aekkapol Aekakkararungroj |
| authorships[11].countries | TH |
| authorships[11].affiliations[0].institution_ids | https://openalex.org/I4210152965 |
| authorships[11].affiliations[0].raw_affiliation_string | Asian Disaster Preparedness Center (ADPC), Bangkok, Thailand |
| authorships[11].institutions[0].id | https://openalex.org/I4210152965 |
| authorships[11].institutions[0].ror | https://ror.org/051t33546 |
| authorships[11].institutions[0].type | nonprofit |
| authorships[11].institutions[0].lineage | https://openalex.org/I4210152965 |
| authorships[11].institutions[0].country_code | TH |
| authorships[11].institutions[0].display_name | Asian Disaster Preparedness Center |
| authorships[11].author_position | middle |
| authorships[11].raw_author_name | Aekkapol Aekakkararungroj |
| authorships[11].is_corresponding | True |
| authorships[11].raw_affiliation_strings | Asian Disaster Preparedness Center (ADPC), Bangkok, Thailand |
| authorships[12].author.id | https://openalex.org/A5051040258 |
| authorships[12].author.orcid | |
| authorships[12].author.display_name | S. Poshyachinda |
| authorships[12].countries | TH |
| authorships[12].affiliations[0].institution_ids | https://openalex.org/I85156444 |
| authorships[12].affiliations[0].raw_affiliation_string | National Astronomical Research Institute of Thailand (Public Organization), Chiangmai, Thailand |
| authorships[12].institutions[0].id | https://openalex.org/I85156444 |
| authorships[12].institutions[0].ror | https://ror.org/027rw9342 |
| authorships[12].institutions[0].type | government |
| authorships[12].institutions[0].lineage | https://openalex.org/I2801080794, https://openalex.org/I4210129478, https://openalex.org/I85156444 |
| authorships[12].institutions[0].country_code | TH |
| authorships[12].institutions[0].display_name | National Astronomical Research Institute of Thailand |
| authorships[12].author_position | last |
| authorships[12].raw_author_name | Saran Poshyachinda |
| authorships[12].is_corresponding | True |
| authorships[12].raw_affiliation_strings | National Astronomical Research Institute of Thailand (Public Organization), Chiangmai, Thailand |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0287187&type=printable |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Combined use of principal component analysis/multiple linear regression analysis and artificial neural network to assess the impact of meteorological parameters on fluctuation of selected PM2.5-bound elements |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10190 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9997000098228455 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2307 |
| primary_topic.subfield.display_name | Health, Toxicology and Mutagenesis |
| primary_topic.display_name | Air Quality and Health Impacts |
| related_works | https://openalex.org/W1975632186, https://openalex.org/W2086997807, https://openalex.org/W2806021936, https://openalex.org/W2369482644, https://openalex.org/W3027745756, https://openalex.org/W3205213561, https://openalex.org/W2531880140, https://openalex.org/W2126145365, https://openalex.org/W2387657553, https://openalex.org/W2036609560 |
| cited_by_count | 9 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 7 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| locations_count | 4 |
| best_oa_location.id | doi:10.1371/journal.pone.0287187 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S202381698 |
| best_oa_location.source.issn | 1932-6203 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1932-6203 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | True |
| best_oa_location.source.display_name | PLoS ONE |
| best_oa_location.source.host_organization | https://openalex.org/P4310315706 |
| best_oa_location.source.host_organization_name | Public Library of Science |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310315706 |
| best_oa_location.source.host_organization_lineage_names | Public Library of Science |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0287187&type=printable |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | PLOS ONE |
| best_oa_location.landing_page_url | https://doi.org/10.1371/journal.pone.0287187 |
| primary_location.id | doi:10.1371/journal.pone.0287187 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S202381698 |
| primary_location.source.issn | 1932-6203 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1932-6203 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | True |
| primary_location.source.display_name | PLoS ONE |
| primary_location.source.host_organization | https://openalex.org/P4310315706 |
| primary_location.source.host_organization_name | Public Library of Science |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310315706 |
| primary_location.source.host_organization_lineage_names | Public Library of Science |
| primary_location.license | cc-by |
| primary_location.pdf_url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0287187&type=printable |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | PLOS ONE |
| primary_location.landing_page_url | https://doi.org/10.1371/journal.pone.0287187 |
| publication_date | 2024-03-20 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W3017793966, https://openalex.org/W3139190246, https://openalex.org/W2057657079, https://openalex.org/W3033519548, https://openalex.org/W2916189999, https://openalex.org/W2038651619, https://openalex.org/W2059603179, https://openalex.org/W2020375303, https://openalex.org/W4210615382, https://openalex.org/W3040292123, https://openalex.org/W3035981067, https://openalex.org/W2594272265, https://openalex.org/W2793825237, https://openalex.org/W2258102184, https://openalex.org/W3036850242, https://openalex.org/W57421333, https://openalex.org/W4252660151, https://openalex.org/W3016055789, https://openalex.org/W3016784573, https://openalex.org/W2781813618, https://openalex.org/W2813865948, https://openalex.org/W1978226738, https://openalex.org/W1965030183, https://openalex.org/W2062531051, https://openalex.org/W3181485841, https://openalex.org/W3081584299, https://openalex.org/W3003206217, https://openalex.org/W2767767410, https://openalex.org/W2162255205, https://openalex.org/W2010735452, https://openalex.org/W6681193081, https://openalex.org/W2116385855, https://openalex.org/W2154178438, https://openalex.org/W2908603159, https://openalex.org/W2102017823, https://openalex.org/W1485504984, https://openalex.org/W2119132330, https://openalex.org/W2989938767, https://openalex.org/W3168160182, https://openalex.org/W2892284846, https://openalex.org/W1996671784, https://openalex.org/W2963868457, https://openalex.org/W2587184486, https://openalex.org/W6633618499, https://openalex.org/W2319653749, https://openalex.org/W219621047, https://openalex.org/W1556126939, https://openalex.org/W2995440942, https://openalex.org/W3043119460, https://openalex.org/W2920919883, https://openalex.org/W2745099880, https://openalex.org/W2597020031, https://openalex.org/W2886774120, https://openalex.org/W165280976, https://openalex.org/W1969757842, https://openalex.org/W2004279674, https://openalex.org/W2047864991, https://openalex.org/W2883993666, https://openalex.org/W2911240828, https://openalex.org/W2003465731, https://openalex.org/W1996846470, https://openalex.org/W2127888210, https://openalex.org/W2018767196, https://openalex.org/W2091227784, https://openalex.org/W647186139, https://openalex.org/W2013579738, https://openalex.org/W6658577526, https://openalex.org/W1996921723, https://openalex.org/W1990494502, https://openalex.org/W1982833666, https://openalex.org/W2050726016, https://openalex.org/W1993959537, https://openalex.org/W2027703342, https://openalex.org/W2075497101, https://openalex.org/W2128892467, https://openalex.org/W2185647280, https://openalex.org/W2074490378, https://openalex.org/W2150102975, https://openalex.org/W2984663818, https://openalex.org/W4283751998, https://openalex.org/W1965866304, https://openalex.org/W3018190199, https://openalex.org/W2776698980, https://openalex.org/W3193954967, https://openalex.org/W1975891763, https://openalex.org/W1991139565, https://openalex.org/W2080502302, https://openalex.org/W3027947289, https://openalex.org/W2751596199, https://openalex.org/W3195673336, https://openalex.org/W2150017363, https://openalex.org/W2041036969, https://openalex.org/W2070364167, https://openalex.org/W1900210182, https://openalex.org/W2464394688, https://openalex.org/W2020569167, https://openalex.org/W1572754890, https://openalex.org/W2035247033, https://openalex.org/W2030097685, https://openalex.org/W1975252272, https://openalex.org/W2056599343, https://openalex.org/W2075102083, https://openalex.org/W2904352330, https://openalex.org/W2504330489, https://openalex.org/W3119618308, https://openalex.org/W3136363358, https://openalex.org/W2982600807, https://openalex.org/W3176299515, https://openalex.org/W3092687472, https://openalex.org/W3093046087, https://openalex.org/W2043637253, https://openalex.org/W2809404241, https://openalex.org/W2009209364, https://openalex.org/W1996177745, https://openalex.org/W3115663176, https://openalex.org/W3184804838, https://openalex.org/W3081473138, https://openalex.org/W2789927948, https://openalex.org/W1561665272, https://openalex.org/W4379356745, https://openalex.org/W2076244798, https://openalex.org/W2031413414, https://openalex.org/W2789574927, https://openalex.org/W2142845953 |
| referenced_works_count | 124 |
| abstract_inverted_index.. | 175 |
| abstract_inverted_index.25 | 66 |
| abstract_inverted_index.K, | 74 |
| abstract_inverted_index.PM | 41, 112, 132, 173 |
| abstract_inverted_index.S, | 72 |
| abstract_inverted_index.V, | 78 |
| abstract_inverted_index.as | 186 |
| abstract_inverted_index.at | 45, 136 |
| abstract_inverted_index.by | 38, 116 |
| abstract_inverted_index.in | 14, 35, 51, 131, 140 |
| abstract_inverted_index.of | 4, 7, 65, 106, 172, 194 |
| abstract_inverted_index.on | 1 |
| abstract_inverted_index.to | 60 |
| abstract_inverted_index.2.5 | 42, 113, 133, 174 |
| abstract_inverted_index.Air | 9 |
| abstract_inverted_index.Al, | 70 |
| abstract_inverted_index.As, | 87 |
| abstract_inverted_index.Ba, | 91 |
| abstract_inverted_index.Br, | 89 |
| abstract_inverted_index.Ca, | 75 |
| abstract_inverted_index.Cl, | 73 |
| abstract_inverted_index.Co, | 82 |
| abstract_inverted_index.Cr, | 79 |
| abstract_inverted_index.Cu, | 84 |
| abstract_inverted_index.Fe, | 81 |
| abstract_inverted_index.Ga, | 86 |
| abstract_inverted_index.Mg, | 69 |
| abstract_inverted_index.Mn, | 80 |
| abstract_inverted_index.Ni, | 83 |
| abstract_inverted_index.Pb) | 93 |
| abstract_inverted_index.Sc, | 76 |
| abstract_inverted_index.Se, | 88 |
| abstract_inverted_index.Si, | 71 |
| abstract_inverted_index.Sr, | 90 |
| abstract_inverted_index.The | 63 |
| abstract_inverted_index.Ti, | 77 |
| abstract_inverted_index.Zn, | 85 |
| abstract_inverted_index.air | 11, 28, 47, 192 |
| abstract_inverted_index.and | 54, 92, 121, 163, 183 |
| abstract_inverted_index.can | 30 |
| abstract_inverted_index.has | 16 |
| abstract_inverted_index.the | 2, 5, 22, 32, 36, 118, 137, 167, 191 |
| abstract_inverted_index.two | 39, 187 |
| abstract_inverted_index.was | 43 |
| abstract_inverted_index.(Na, | 68 |
| abstract_inverted_index.2020 | 59 |
| abstract_inverted_index.July | 58 |
| abstract_inverted_index.June | 61 |
| abstract_inverted_index.data | 3 |
| abstract_inverted_index.dust | 165 |
| abstract_inverted_index.from | 57, 110 |
| abstract_inverted_index.life | 33 |
| abstract_inverted_index.main | 169 |
| abstract_inverted_index.site | 139 |
| abstract_inverted_index.some | 107 |
| abstract_inverted_index.that | 27, 143, 154 |
| abstract_inverted_index.were | 94, 114, 129, 166 |
| abstract_inverted_index.with | 160 |
| abstract_inverted_index.2021. | 62 |
| abstract_inverted_index.Based | 0 |
| abstract_inverted_index.State | 6 |
| abstract_inverted_index.World | 23 |
| abstract_inverted_index.X-ray | 99 |
| abstract_inverted_index.human | 148 |
| abstract_inverted_index.major | 188 |
| abstract_inverted_index.risk. | 125 |
| abstract_inverted_index.risks | 128 |
| abstract_inverted_index.sites | 50 |
| abstract_inverted_index.three | 46, 168 |
| abstract_inverted_index.using | 97 |
| abstract_inverted_index.waste | 181 |
| abstract_inverted_index.while | 21 |
| abstract_inverted_index.Global | 8 |
| abstract_inverted_index.Health | 24 |
| abstract_inverted_index.Higher | 126 |
| abstract_inverted_index.cancer | 124, 127 |
| abstract_inverted_index.caused | 17 |
| abstract_inverted_index.excess | 122 |
| abstract_inverted_index.hazard | 119 |
| abstract_inverted_index.health | 104 |
| abstract_inverted_index.inputs | 158 |
| abstract_inverted_index.neural | 177 |
| abstract_inverted_index.years. | 40 |
| abstract_inverted_index.(2020), | 10 |
| abstract_inverted_index.Phuket, | 55 |
| abstract_inverted_index.adverse | 103 |
| abstract_inverted_index.burning | 182 |
| abstract_inverted_index.country | 37 |
| abstract_inverted_index.coupled | 159 |
| abstract_inverted_index.crustal | 157 |
| abstract_inverted_index.deaths, | 20 |
| abstract_inverted_index.element | 108 |
| abstract_inverted_index.exhaust | 145 |
| abstract_inverted_index.factors | 189 |
| abstract_inverted_index.health. | 149 |
| abstract_inverted_index.impacts | 105, 147 |
| abstract_inverted_index.quality | 12, 48, 193 |
| abstract_inverted_index.samples | 134 |
| abstract_inverted_index.sources | 171 |
| abstract_inverted_index.traffic | 155 |
| abstract_inverted_index.vehicle | 144 |
| abstract_inverted_index.~32,000 | 18 |
| abstract_inverted_index.Bangkok, | 53, 141 |
| abstract_inverted_index.Thailand | 15 |
| abstract_inverted_index.analysis | 152 |
| abstract_inverted_index.decrease | 31 |
| abstract_inverted_index.detected | 130 |
| abstract_inverted_index.elements | 67 |
| abstract_inverted_index.humidity | 185 |
| abstract_inverted_index.inhaling | 111 |
| abstract_inverted_index.lifetime | 123 |
| abstract_inverted_index.maritime | 161 |
| abstract_inverted_index.networks | 178 |
| abstract_inverted_index.quotient | 120 |
| abstract_inverted_index.relative | 184 |
| abstract_inverted_index.sampling | 138 |
| abstract_inverted_index.suggests | 153 |
| abstract_inverted_index.Potential | 102 |
| abstract_inverted_index.Principal | 150 |
| abstract_inverted_index.Thailand, | 56 |
| abstract_inverted_index.Thailand. | 195 |
| abstract_inverted_index.adversely | 146 |
| abstract_inverted_index.aerosols, | 162 |
| abstract_inverted_index.collected | 44, 135 |
| abstract_inverted_index.component | 151 |
| abstract_inverted_index.employing | 117 |
| abstract_inverted_index.estimated | 115 |
| abstract_inverted_index.evaluated | 26 |
| abstract_inverted_index.exposures | 109 |
| abstract_inverted_index.potential | 170 |
| abstract_inverted_index.premature | 19 |
| abstract_inverted_index.Artificial | 176 |
| abstract_inverted_index.emissions, | 156 |
| abstract_inverted_index.expectancy | 34 |
| abstract_inverted_index.indicating | 142 |
| abstract_inverted_index.pollutants | 29 |
| abstract_inverted_index.underlined | 179 |
| abstract_inverted_index.Chiang-Mai, | 52 |
| abstract_inverted_index.controlling | 190 |
| abstract_inverted_index.observatory | 49 |
| abstract_inverted_index.Organization | 25 |
| abstract_inverted_index.agricultural | 180 |
| abstract_inverted_index.construction | 164 |
| abstract_inverted_index.fluorescence | 100 |
| abstract_inverted_index.characterised | 96 |
| abstract_inverted_index.deterioration | 13 |
| abstract_inverted_index.spectrometry. | 101 |
| abstract_inverted_index.concentrations | 64 |
| abstract_inverted_index.quantitatively | 95 |
| abstract_inverted_index.energy-dispersive | 98 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5108910159, https://openalex.org/A5000320455, https://openalex.org/A5113463331, https://openalex.org/A5017787031, https://openalex.org/A5078659528, https://openalex.org/A5105235533, https://openalex.org/A5100337870, https://openalex.org/A5083804161, https://openalex.org/A5050400730, https://openalex.org/A5024156060, https://openalex.org/A5100608648, https://openalex.org/A5051040258, https://openalex.org/A5051691885 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 13 |
| corresponding_institution_ids | https://openalex.org/I131868736, https://openalex.org/I159665162, https://openalex.org/I19820366, https://openalex.org/I4210105946, https://openalex.org/I4210152965, https://openalex.org/I4210159790, https://openalex.org/I85156444, https://openalex.org/I88830068 |
| citation_normalized_percentile.value | 0.9268985 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |