194 related articles for article (PubMed ID: 33618491)
1. Spatial prediction of PM
Bozdağ A; Dokuz Y; Gökçek ÖB
Environ Pollut; 2020 Aug; 263(Pt A):114635. PubMed ID: 33618491
[TBL] [Abstract][Full Text] [Related]
2. GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms.
Tella A; Balogun AL
Environ Sci Pollut Res Int; 2022 Dec; 29(57):86109-86125. PubMed ID: 34533750
[TBL] [Abstract][Full Text] [Related]
3. The impact of the congestion charging scheme on air quality in London. Part 1. Emissions modeling and analysis of air pollution measurements.
Kelly F; Anderson HR; Armstrong B; Atkinson R; Barratt B; Beevers S; Derwent D; Green D; Mudway I; Wilkinson P;
Res Rep Health Eff Inst; 2011 Apr; (155):5-71. PubMed ID: 21830496
[TBL] [Abstract][Full Text] [Related]
4. Comparison of Machine Learning and Land Use Regression for fine scale spatiotemporal estimation of ambient air pollution: Modeling ozone concentrations across the contiguous United States.
Ren X; Mi Z; Georgopoulos PG
Environ Int; 2020 Sep; 142():105827. PubMed ID: 32593834
[TBL] [Abstract][Full Text] [Related]
5. Multi-criteria decision-making using GIS-AHP for air pollution problem in Igdir Province/Turkey.
Sahin F; Kara MK; Koc A; Sahin G
Environ Sci Pollut Res Int; 2020 Oct; 27(29):36215-36230. PubMed ID: 32556979
[TBL] [Abstract][Full Text] [Related]
6. A GIS-based spatial correlation analysis for ambient air pollution and AECOPD hospitalizations in Jinan, China.
Wang W; Ying Y; Wu Q; Zhang H; Ma D; Xiao W
Respir Med; 2015 Mar; 109(3):372-8. PubMed ID: 25682544
[TBL] [Abstract][Full Text] [Related]
7. Multicity study of air pollution and mortality in Latin America (the ESCALA study).
Romieu I; Gouveia N; Cifuentes LA; de Leon AP; Junger W; Vera J; Strappa V; Hurtado-Díaz M; Miranda-Soberanis V; Rojas-Bracho L; Carbajal-Arroyo L; Tzintzun-Cervantes G;
Res Rep Health Eff Inst; 2012 Oct; (171):5-86. PubMed ID: 23311234
[TBL] [Abstract][Full Text] [Related]
8. Exploring the modeling of spatiotemporal variations in ambient air pollution within the land use regression framework: Estimation of PM10 concentrations on a daily basis.
Alam MS; McNabola A
J Air Waste Manag Assoc; 2015 May; 65(5):628-40. PubMed ID: 25947321
[TBL] [Abstract][Full Text] [Related]
9. Determination of the physical domain for air quality monitoring stations using the ANP-OWA method in GIS.
Kazemi-Beydokhti M; Abbaspour RA; Kheradmandi M; Bozorgi-Amiri A
Environ Monit Assess; 2019 Jun; 191(Suppl 2):299. PubMed ID: 31254084
[TBL] [Abstract][Full Text] [Related]
10. The London low emission zone baseline study.
Kelly F; Armstrong B; Atkinson R; Anderson HR; Barratt B; Beevers S; Cook D; Green D; Derwent D; Mudway I; Wilkinson P;
Res Rep Health Eff Inst; 2011 Nov; (163):3-79. PubMed ID: 22315924
[TBL] [Abstract][Full Text] [Related]
11. Modeling of atmospheric particulate matters via artificial intelligence methods.
Cihan P; Ozel H; Ozcan HK
Environ Monit Assess; 2021 Apr; 193(5):287. PubMed ID: 33884498
[TBL] [Abstract][Full Text] [Related]
12. Land use regression for spatial distribution of urban particulate matter (PM
Zhang H; Zhao Y
Environ Monit Assess; 2019 Nov; 191(12):712. PubMed ID: 31676942
[TBL] [Abstract][Full Text] [Related]
13. Air quality prediction by machine learning models: A predictive study on the indian coastal city of Visakhapatnam.
Ravindiran G; Hayder G; Kanagarathinam K; Alagumalai A; Sonne C
Chemosphere; 2023 Oct; 338():139518. PubMed ID: 37454985
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of machine learning techniques with multiple remote sensing datasets in estimating monthly concentrations of ground-level PM
Xu Y; Ho HC; Wong MS; Deng C; Shi Y; Chan TC; Knudby A
Environ Pollut; 2018 Nov; 242(Pt B):1417-1426. PubMed ID: 30142557
[TBL] [Abstract][Full Text] [Related]
15. Spatiotemporal patterns of PM
Chen G; Wang Y; Li S; Cao W; Ren H; Knibbs LD; Abramson MJ; Guo Y
Environ Pollut; 2018 Nov; 242(Pt A):605-613. PubMed ID: 30014938
[TBL] [Abstract][Full Text] [Related]
16. Predicting intraurban PM
Ashayeri M; Abbasabadi N; Heidarinejad M; Stephens B
Environ Res; 2021 May; 196():110423. PubMed ID: 33157105
[TBL] [Abstract][Full Text] [Related]
17. Research on air pollutant concentration prediction method based on self-adaptive neuro-fuzzy weighted extreme learning machine.
Li Y; Jiang P; She Q; Lin G
Environ Pollut; 2018 Oct; 241():1115-1127. PubMed ID: 30029320
[TBL] [Abstract][Full Text] [Related]
18. Forecasting PM
Cekim HO
Environ Sci Pollut Res Int; 2020 Jul; 27(20):25612-25624. PubMed ID: 32356050
[TBL] [Abstract][Full Text] [Related]
19. LaSVM-based big data learning system for dynamic prediction of air pollution in Tehran.
Ghaemi Z; Alimohammadi A; Farnaghi M
Environ Monit Assess; 2018 Apr; 190(5):300. PubMed ID: 29679160
[TBL] [Abstract][Full Text] [Related]
20. Relationships between Meteorological Parameters and Particulate Matter in Mae Hong Son Province, Thailand.
Kliengchuay W; Cooper Meeyai A; Worakhunpiset S; Tantrakarnapa K
Int J Environ Res Public Health; 2018 Dec; 15(12):. PubMed ID: 30544675
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]