Evaluation of Interpolation Technique for Air Quality Parameters in Port Blair, India

Evaluation of Interpolation Technique for Air Quality Parameters in Port Blair, India


Subject and more

  • LCC Subject Category: Environmental Sciences
  • Publisher's keywords: Inverse distance weighted, Kriging, Interpolation, Mean absolute error, Root mean square error, index of agreement
  • Language of fulltext: english
  • Full-text formats available: PDF


    Dilip Kumar Jha, M.Sabesan, Anup Das, N.V.Vinithkumar and R. Kirubagaran



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Evaluation of interpolation technique was investigated for air quality parameters such as suspended particulate matter (SPM), sulphur dioxide (SO2) and nitrogen dioxide (NO2) in ambient air of Port Blair, India. The interpolation methods such as inverse distance weighted (IDW) and kriging were tested to develop air quality model. The interpolated and corresponding measured values were compared by three statistical test such as mean absolute error (MAE), root mean square error (RMSE) and index of agreement (d). The ANOVA showed significant site wise variation for SPM, SO2 and NO2 concentrations. The concentration of SPM, NO2 and SO2 ranged between 35-174, 5-24 and 4-11 µg/m³ respectively. The observed concentrations of air quality parameters were found below the permissible limit of Central Pollution Control Board of India. The IDW showed better similarity between measured and interpolated values of SPM, SO2 and NO2 than kriging method. MAE and RMSE were low for air quality parameters in IDW method. The‘d’ was observed higher in IDW method, which attributes better similarity between measured and interpolated values. Interpolation methods and statistical result have been discussed in detail for assessment and monitoring of air quality parameters.

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