Often due to unavailability of data/ information between the space of two geographical location causes errors in spatial analysis. Inverse distance weighted method is the algorithm which helps in interpolating the missing data under the logic that a certain event fades away from its source as the distance increases outwards.
Published in Chapter:
Synergy Between Air Quality, Various Urban Forms, and Land Surface Temperature: A Case Study of Kolkata Metropolitan Area
Abira Dutta Roy (Bankura Zilla Saradamani Mahila Mahavidyapith, India), Munni Debnath Parial (Adamas University, India), and Kasturi Mukherjee (Adamas University, India)
Copyright: © 2020
|Pages: 34
DOI: 10.4018/978-1-7998-0369-0.ch024
Abstract
This chapter studies spatio temporal trends of air quality, its relation with urban forms, and Land Surface Temperature (LST) in Kolkata Metropolitan Area, the world's 55th most polluted city according to the World Health Organization. Air quality data were procured from 34 monitoring stations operated by West Bengal Pollution Control Board for 2005-18. Trend analysis showed declining NO2, SO2 values but a rise in PM10 concentration. Interpolation analysis showed high concentration of pollutants along the Hugli industrial belt, Dhulagarh, and Kolkata Municipal Corporation Area. Urban forms such as built-up density, distances from water bodies, parks, and bus stops demonstrated their reasonable influence on air pollution condition. LST generated from Landsat Thermal Infrared bands showed increase in temperature conditions from 2005-2018. Positive Correlation was identified between Land surface temperature and air pollution. Their relationship was assessed to have become stronger over the decades.