alexa AIR QUALITY STATUS AND ITS EFFECT ON BIOCHEMICAL PARAMETERS OF ROADSIDE TREES SPECIES IN JALGAON CITY, MAHARASHTRA


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Research Article

AIR QUALITY STATUS AND ITS EFFECT ON BIOCHEMICAL PARAMETERS OF ROADSIDE TREES SPECIES IN JALGAON CITY, MAHARASHTRA

 
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Abstract

Trees naturally clean the environment and help in reducing air pollution. The selection of suitable tree species depends on the response of trees to air pollution and can be understood by analyzing the factors that determine resistance and susceptibility. In order to evaluate the resistance and susceptibility level of plant species to air pollutants, twelve different plant species i.e. Polyalthia longifolia, Nerium indicum, Tabernamontana divariata, Cassia saimia, plumeria rubra, leucaena leucocephala, Azadirachta indica, Zizipus zizuba, Ficus religeosa, Boughanvellia spectabilis, Annona squamosa & Alstonia Scholaris was taken from Residential (S1), Commercial (SII) & Industrial (SIII) area of the city as this flora is very much common to the Jalgaon city & is planted on the roadside. The quality of air with respect to SPM, SO2 and NO2 has been also assessed on respective sites to see its effect on biochemical parameters of the leaves i.e. pH, total water content, chlorophyll and ascorbic acid and evaluate the air pollution tolerance index (APTI) of various plants. It was concluded that Alstonia scholaris (31.29) and Polyalthia longifolia (22.78) have very high APTI value over control so these are considered as high tolerant tree species. Bougainvillea spectabilis (22.91) and Tabernamontana divariata (22.62) have slightly more APTI value over control so these are considered as moderately tolerant tree species. Ficus religeosa (21.63) and Plumeria rubra (22.51) have less APTI value than control, so these are sensitive species respectively. The present studies are therefore handy for future planning. The plant species which are more sensitive act as biological indicators of air pollution. Also, the estimation of four important biochemical parameters gave more accurate and reliable results than based on a single biochemical parameter.

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