THE LAND USE AND LAND COVER RELATION WITH AIR POLLUTANTS OF RAJSHAHI CITY: A REMOTE SENSING APPROACH

M Rahnuma^[1]*, M M H Chowdhury², T R Ferdousi³, A Ahmed⁴, and N Ahmed⁵

 

¹Department of Civil Engineering, Rajshahi University of Engineering and Technology, Rajshahi, Bangladesh 6204.

²Department of Civil Engineering, Sylhet Engineering College, Sylhet, Bangladesh 3100

³Department of Civil Engineering, Chittagong University of Engineering and Technology, Chittagong, Bangladesh 4349

⁴Brown University, Providence, Rhode Island, USA 02912.

⁵Researcher, National Nanotechnology Research Center, Bilkent University, Ankara, Turkey.

[1]^* Corresponding author: [email protected]

DOI: https://doi.org/10.20885/icsbe.vol4.art40

 

ABSTRACT

Over the last few decades, significant damages have been observed in our environment. Being a densely populated country, Bangladesh has also faced significant environmental challenges over the last couple of years. To understand the pattern, researchers have analyzed land coverages in several parts of the world. This study presents an analytical study of the land coverages and land transition maps of the Rajshahi City located in Bangladesh. Our study was focused on the 1990,1998,2007,2014, and 2021 years. The maps were generated using ArcGIS 10.8 software. From our results, we observed that there was significant vegetation loss in the selected region over the years. The reduction in vegetation area is determined by a trend line of 0.8291% per year starting from 1990. Previous studies have shown that trees absorb the pollutants from the air and make the air cleaner. In this study, several graphs showing the decreasing rate of the absorption of air pollutants due to decreasing rate of vegetation are manifested. The increasing rate of air pollutants causes several life-threatening diseases and contributes to the rising temperature. To cope with this vegetation loss, we have proposed a partial solution that is rooftop gardening which supports Urban planning management with greenery.

 

Keywords: Vegetation; Remote sensing; Air pollutants; Rooftop gardening.

 

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