Analyzing control of respiratory particulate matter on Land Surface Temperature in local climatic zones of English Bazar Municipality and Surroundings

Abstract

Local climatic zone (LCZ), a systematic classification of internal urban morphology based on physical and thermal, radiative, land cover and geometric properties of the urban area, is identified in English Bazar Municipality and its surrounding region. Spatial land surface temperature (LST) and respiratory particulate matter (RPM) are also identified in each LCZ for characterizing the ecological milieu for living. It is also attempted to correlate RPM and LST in each LCZ for determining the impact of RPM on LST. Landsat satellite images, google earth images are employed for extracting LST, RPM and LCZ characters. Validation process using both ground control points, air temperature data and data from Pollution Control Board are applied for establishing the degree of sensitivity of the LCZ, LST and RPM models. Nine LCZs e.g. compact low-rise, open mid-rise, open low-rise, light weight low-rise etc. zones are recognized in this study area. Relatively high LST and RPM with significant spatio-seasonal variation is recognized in compact low-rise, open mid-rise, open low-rise, light weight low-rise and bare soil zones. Positive linear regression model with strong coefficient of determination (R2) is identified between RPM and LST in the built up dominated LCZ (R2 > 0.8).