IDENTIFICATION OF THE RELATIONSHIP BETWEEN AEROSOL OPTICAL DEPTH AND LAND SURFACE TEMPERATURE BEFORE, DURING, AND AFTER THE COVID-19 PANDEMIC IN DKI JAKARTA

In 2020, the government implemented large-scale social restrictions (PSBB) to curb the spread of COVID-19. PSBB reduced human activity and was believed to contribute to the decline in global carbon emissions. During PSBB, the decrease in human mobility was assumed to reduce air pollution due t...

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Bibliographic Details
Main Author: Kartikawati
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/83220
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:In 2020, the government implemented large-scale social restrictions (PSBB) to curb the spread of COVID-19. PSBB reduced human activity and was believed to contribute to the decline in global carbon emissions. During PSBB, the decrease in human mobility was assumed to reduce air pollution due to fewer vehicle movements and reduced industrial activity. Anthropogenic emissions, aerosols, and pollutants play a significant role in the rise of surface temperatures in urban areas, so reduced pollutant concentrations during PSBB would lead to changes in surface temperatures. PSBB provided an opportunity to examine the impact of reduced anthropogenic activity, represented by transportation, along with the reduction of airborne pollutants. Therefore, it is necessary to further study the relationship between AOD and LST before, during, and after the pandemic COVID-19 in Jakarta. MODIS satellite data processing was conducted to obtain the average change values of AOD and LST during the pandemic in Jakarta from April, May, and June of 2017–2023. The Moderate Resolution Imaging Spectroradiometer (MODIS) is an instrument operating on the Terra and Aqua satellites. Additionally, BMKG observation data were processed to obtain the average values of rainfall and the percentage of cloud cover occurrences from April, May, and June of 2017–2023 in Jakarta. The research results showed that the changes in AOD and LST amalyzed have an inversely proportional but interrelated relationship. Changes in AOD and LST had an indirect relationship caused by cloud cover and rainfall. Generally, seasonal factors significantly affect the AOD and LST relationship, as each month has different cloud cover and rainfall conditions, resulting in different AOD and LST characteristics each month. Moreover, the implementation of PSBB by the government had only a slight impact on the reduction of AOD and LST because, spatially, the reduction only occurred in certain areas of Jakarta.