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Proposing and investigating PCAMARS as a novel model for NO 2 interpolation.

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اقرأ على الانترنت اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • المصدر:
      Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE
    • بيانات النشر:
      Publication: 1998- : Dordrecht : Springer
      Original Publication: Dordrecht, Holland ; Boston : D. Reidel Pub. Co., c1981-
    • الموضوع:
      Models, Chemical*; Air Pollutants/*analysis ; Air Pollution/*statistics & numerical data ; Environmental Monitoring/*methods ; Nitrogen Dioxide/*analysis; Air Pollution/analysis ; Iran ; Spatial Analysis ; Temperature
    • نبذة مختصرة :
      Effective measurement of exposure to air pollution, not least NO 2 , for epidemiological studies along with the need to better management and control of air pollution in urban areas ask for precise interpolation and determination of the concentration of pollutants in nonmonitored spots. A variety of approaches have been developed and used. This paper aims to propose, develop, and test a spatial predictive model based on multivariate adaptive regression splines (MARS) and principle component analysis (PCA) to determine the concentration of NO 2 in Tehran, as a case study. To increase the accuracy of the model, spatial data (population, road network and point of interests such as petroleum stations and green spaces) and meteorological data (including temperature, pressure, wind speed and relative humidity) have also been used as independent variables, alongside air quality measurement data gathered by the monitoring stations. The outputs of the proposed model are evaluated against reference interpolation techniques including inverse distance weighting, thin plate splines, kriging, cokriging, and MARS3. Interpolation for 12 months showed better accuracies of the proposed model in comparison with the reference methods.
    • References:
      J Expo Anal Environ Epidemiol. 2004 Sep;14(5):404-15. (PMID: 15361900)
      Epidemiology. 2005 Nov;16(6):727-36. (PMID: 16222161)
      Environ Int. 2006 Jul;32(5):586-93. (PMID: 16516968)
      Environ Health. 2009 Jun 12;8:26. (PMID: 19523211)
      Sensors (Basel). 2016 Jan 09;16(1):null. (PMID: 26761008)
    • Contributed Indexing:
      Keywords: Air pollution; MARS; NO2; PCA; Spatial interpolation
    • الرقم المعرف:
      0 (Air Pollutants)
      S7G510RUBH (Nitrogen Dioxide)
    • الموضوع:
      Date Created: 20190225 Date Completed: 20190326 Latest Revision: 20200225
    • الموضوع:
      20221213
    • الرقم المعرف:
      PMC6394563
    • الرقم المعرف:
      10.1007/s10661-019-7253-2
    • الرقم المعرف:
      30798406