IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v385y2018icp173-181.html
   My bibliography  Save this article

Spatiotemporally resolved ambient particulate matter concentration by fusing observational data and ensemble chemical transport model simulations

Author

Listed:
  • Chianese, E.
  • Galletti, A.
  • Giunta, G.
  • Landi, T.C.
  • Marcellino, L.
  • Montella, R.
  • Riccio, A.

Abstract

In this work, we describe and implement a data assimilation approach for PM10 pollution data in Northern Italy. This was done by combining the best available information from observations and chemical transport models. Specifically, by (1) incorporating PM10 surface daily concentrations and model results from the CAMS (Copernicus Atmosphere Monitoring Service) ensemble; and (2) spreading the forecast corrections from the observation locations to the entire gridded domain covered by model forecasts by means of a data regularization approach. Results were verified against independent PM10 observations measured at 169 stations by local Environmental Protection Agencies. Twelve months of observations were matched in time and space, from January to December 2017, with air pollution model results. The studied domain encompassed the Po Valley, one of the most polluted areas in Europe, and that still does not meet the air quality criteria for the annual average concentration and the maximum number of exceedances allowed for the particulate matter.

Suggested Citation

  • Chianese, E. & Galletti, A. & Giunta, G. & Landi, T.C. & Marcellino, L. & Montella, R. & Riccio, A., 2018. "Spatiotemporally resolved ambient particulate matter concentration by fusing observational data and ensemble chemical transport model simulations," Ecological Modelling, Elsevier, vol. 385(C), pages 173-181.
    • Handle: RePEc:eee:ecomod:v:385:y:2018:i:c:p:173-181
    DOI: 10.1016/j.ecolmodel.2018.07.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380018302606
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2018.07.019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Michael E. Tipping & Christopher M. Bishop, 1999. "Probabilistic Principal Component Analysis," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(3), pages 611-622.
    2. מחקר - ביטוח לאומי, 2006. "Summary for 2005," Working Papers 29, National Insurance Institute of Israel.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sebastiani, A. & Buonocore, E. & Franzese, P.P. & Riccio, A. & Chianese, E. & Nardella, L. & Manes, F., 2021. "Modeling air quality regulation by green infrastructure in a Mediterranean coastal urban area: The removal of PM10 in the Metropolitan City of Naples (Italy)," Ecological Modelling, Elsevier, vol. 440(C).
    2. Maurizio Migliaccio & Andrea Buono & Ila Maltese & Margherita Migliaccio, 2021. "The 2020 Italian Spring Lockdown: A Multidisciplinary Analysis over the Milan Urban Area," World, MDPI, vol. 2(3), pages 1-24, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Productivity Commission, 2006. "Review of Price Regulation of Airports Services," Inquiry Reports, Productivity Commission, Government of Australia, number 40.
    2. MacCarty, Nordica A. & Bryden, Kenneth Mark, 2016. "An integrated systems model for energy services in rural developing communities," Energy, Elsevier, vol. 113(C), pages 536-557.
    3. Wang, Zihan & Daeipour, Mohamad & Xu, Hongyi, 2023. "Quantification and propagation of Aleatoric uncertainties in topological structures," Reliability Engineering and System Safety, Elsevier, vol. 233(C).
    4. Bhalotra, Sonia & Clarke, Damian & Mühlrad, Hanna & Palme, Mårten, 2021. "Health and Labor Market Impacts of Twin Birth : Evidence from a Swedish IVF Policy Mandate," The Warwick Economics Research Paper Series (TWERPS) 1391, University of Warwick, Department of Economics.
    5. N. N., 2005. "60th Euroconstruct Conference: The Prospects for the European Construction Market 2006-2008. Summary Report," WIFO Studies, WIFO, number 25838, April.
    6. Xin Xu & Yang Lu & Yupeng Zhou & Zhiguo Fu & Yanjie Fu & Minghao Yin, 2021. "An Information-Explainable Random Walk Based Unsupervised Network Representation Learning Framework on Node Classification Tasks," Mathematics, MDPI, vol. 9(15), pages 1-14, July.
    7. Lei Jin & Nicholas Chrisatakis, 2009. "Investigating the mechanism of marital mortality reduction: The transition to widowhood and quality of health care," Demography, Springer;Population Association of America (PAA), vol. 46(3), pages 605-625, August.
    8. Ankit Gupta & Hemant Bherwani & Sneha Gautam & Saima Anjum & Kavya Musugu & Narendra Kumar & Avneesh Anshul & Rakesh Kumar, 2021. "Air pollution aggravating COVID-19 lethality? Exploration in Asian cities using statistical models," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 6408-6417, April.
    9. Dorota Toczydlowska & Gareth W. Peters & Man Chung Fung & Pavel V. Shevchenko, 2017. "Stochastic Period and Cohort Effect State-Space Mortality Models Incorporating Demographic Factors via Probabilistic Robust Principal Components," Risks, MDPI, vol. 5(3), pages 1-77, July.
    10. Bureau for Food and Agricultural Policy, 2015. "The South African Sunflower Complex," BFAP Reports 279776, Bureau for Food and Agricultural Policy (BFAP), BFAP Reports.
    11. Ellen Bouchery & Rebecca Morris & Jasmine Little, "undated". "Examining Substance Use Disorder Treatment Demand and Provider Capacity in a Changing Health Care System: Initial Findings Report," Mathematica Policy Research Reports b0d83ca544284ee7a053b2788, Mathematica Policy Research.
    12. Sun-Jin Yun, 2012. "Nuclear power for climate mitigation? Contesting frames in Korean newspapers," Asia Europe Journal, Springer, vol. 10(1), pages 57-73, May.
    13. Matteo Barigozzi & Marc Hallin, 2023. "Dynamic Factor Models: a Genealogy," Papers 2310.17278, arXiv.org, revised Jan 2024.
    14. Chen, Tao & Martin, Elaine & Montague, Gary, 2009. "Robust probabilistic PCA with missing data and contribution analysis for outlier detection," Computational Statistics & Data Analysis, Elsevier, vol. 53(10), pages 3706-3716, August.
    15. Hristovska, Tatjana & Watkins, K. Bradley & Anders, Merle M., 2012. "An Economic Risk Analysis of No-till Management for the Rice-Soybean Rotation System used in Arkansas," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119676, Southern Agricultural Economics Association.
    16. International Monetary Fund, 2008. "The Gambia: Selected Issues and Statistical Appendix," IMF Staff Country Reports 2008/325, International Monetary Fund.
    17. Nicholas W Calderone, 2012. "Insect Pollinated Crops, Insect Pollinators and US Agriculture: Trend Analysis of Aggregate Data for the Period 1992–2009," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-27, May.
    18. Wang, Shao-Hsuan & Huang, Su-Yun, 2022. "Perturbation theory for cross data matrix-based PCA," Journal of Multivariate Analysis, Elsevier, vol. 190(C).
    19. Cook, R. Dennis, 2022. "A slice of multivariate dimension reduction," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
    20. Alexa Spence & Wouter Poortinga & Nick Pidgeon, 2012. "The Psychological Distance of Climate Change," Risk Analysis, John Wiley & Sons, vol. 32(6), pages 957-972, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:385:y:2018:i:c:p:173-181. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.