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24 Hour Advance Forecast of Surface Ozone Using Linear and Non-Linear Models at a Semi-Urban Site of Indo-Gangetic Plain

Author

Listed:
  • Nidhi Verma
  • Sonal Kumari
  • Anita Lakhani
  • K Maharaj Kumari

    (Social Sciences Unit, Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Belgium)

Abstract

The present study includes prediction of next day hourly ozone concentration using four models viz. multiple linear regression (MLR), principal component regression (PCR), artificial neural network (ANN) and principal component based artificial neural network (PCANN). The input variables used for models construction were hourly concentration of previous day ozone, nitrogen dioxide (NO2), carbon monoxide (CO), temperature (T), relative humidity (RH), wind speed (WS), solar radiation (SR) and solar radiation duration (SRD). The measurement of ozone and its precursors was carried out at a semi-urban site of Dayalbagh, Agra.

Suggested Citation

  • Nidhi Verma & Sonal Kumari & Anita Lakhani & K Maharaj Kumari, 2019. "24 Hour Advance Forecast of Surface Ozone Using Linear and Non-Linear Models at a Semi-Urban Site of Indo-Gangetic Plain," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 18(2), pages 46-55, March.
    • Handle: RePEc:adp:ijesnr:v:18:y:2019:i:2:p:46-55
    DOI: 10.19080/IJESNR.2019.18.555982
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    Cited by:

    1. NurIzzah M. Hashim & Norazian Mohamed Noor & Ahmad Zia Ul-Saufie & Andrei Victor Sandu & Petrica Vizureanu & György Deák & Marwan Kheimi, 2022. "Forecasting Daytime Ground-Level Ozone Concentration in Urbanized Areas of Malaysia Using Predictive Models," Sustainability, MDPI, vol. 14(13), pages 1-23, June.

    More about this item

    Keywords

    earth and environment journals; environment journals; open access environment journals; peer reviewed environmental journals; open access; juniper publishers; ournal of Environmental Sciences; juniper publishers journals ; juniper publishers reivew;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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