PRIORITIZING THE FACTORS INFLUENCED PARTICULATE MATTER EMISSION APPLYING FUZZY TOPSIS

Abstract

Particulate matter (PM) is a key component of ambient air that has a significant influence on climate

change and is harmful to human health. Particulate matter in the high atmosphere affects the earth's

radiation, cloud formation, visibility of aviation traffic, and other natural processes. In contrast,

particulate matter is a substantial obstacle in the lower atmosphere. The most concerning problem is that

it harms human health and has a negative influence on natural systems such as forests, animals, and

coastal regions. With the presence of PM, air quality continues to degrade. To address this issue, it is

critical to understand the underlying causes of pollution. PM is made up of a variety of small particles

that can stay in the air for a long time and enter respiratory tracts and lungs. The properties and

concentration variations of PM are determined by the origin of these substances. Crystal matter, vehicle

traffic and fuel burning, urbanization, industrialization, climatic change, natural resources, and other

factors all contribute to significant variations in particulate matter concentrations. This research

evaluated, identified, and classified the sources of PM emissions in order to address the issue in the

context of Bangladesh. Furthermore, FUZZY TOPSIS logic was used to prioritize the PM variables,

which would aid in understanding the dangerous causes of PM emission from all general sources.

Meanwhile, the real-time air quality was examined the recent time air quality. Monthly, weekly and daily

variation of PM10 was analyzed for a selected time period to clarify the aspect