2023_Modeling of The Effect of Greenhouse Gas Emissions On The Earth’s Surface Temperature in Indonesia and Malaysia
| Format: | General Document |
|---|
| _version_ | 1860797990812254208 |
|---|---|
| building | INTELEK Repository |
| collection | Online Access |
| collectionurl | https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 |
| copyright | Copyright©PWB2025 |
| country | Malaysia |
| date | 2023-11-05 16:56 |
| format | General Document |
| id | 15327 |
| institution | UniSZA |
| originalfilename | MODELING OF THE EFFECT OF GREENHOUSE GAS EMISSIONS ON THE EARTH’S SURFACE TEMPERATURE IN INDONESIA AND MALAYSIA |
| person | PDFsam Basic v4.2.10 Ruly Budiono bin Pama s. Widjaya |
| recordtype | oai_dc |
| resourceurl | https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15327 |
| sourcemedia | Server storage Scanned document |
| spelling | 15327 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=15327 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection3 General Document Malaysia Library Staff (Top Management) Library Staff (Management) Library Staff (Support) Terengganu English UniSZA East Coast Environmental Research Institute application/pdf 1.5 PDFsam Basic v4.2.10 Malaysia Server storage Scanned document Universiti Sultan Zainal Abidin UniSZA Private Access Universiti Sultan Zainal Abidin SAMBox 2.3.4; modified using iTextSharp™ 5.5.10 ©2000-2016 iText Group NV (AGPL-version) 2023-11-05 16:56 MODELING OF THE EFFECT OF GREENHOUSE GAS EMISSIONS ON THE EARTH’S SURFACE TEMPERATURE IN INDONESIA AND MALAYSIA 407 2023_Modeling of The Effect of Greenhouse Gas Emissions On The Earth’s Surface Temperature in Indonesia and Malaysia Copyright©PWB2025 Indonesia Environmental modeling Ruly Budiono bin Pama s. Widjaya Greenhouse Gas Emissions The Earth’s Surface Temperature Greenhouse gases—Environmental aspects Atmospheric temperature—Mathematical models Global warming—Indonesia Global warming—Malaysia Climatic changes—Indonesia Climatic changes—Malaysia Carbon dioxide—Environmental aspects Earth temperature—Mathematical models Climatology—Mathematical models Global warming has become a worrying problem in recent decades due to its detrimental effects on human survival and the environment. The increase in globaltemperature is due to the increased concentrations of greenhouse gases resulting from human activities, exceeding the ability of plants and the ocean to absorb them. One of the human activities that cause global warming is burning fossil fuels for power generation, industry, and transportation, which emits millions of carbon dioxide into theair. Therefore, the purpose of this study was to determine and analyze the monitoring modeling of greenhouse gas emissions in the air, regional greenness index, and marine chlorophyll, and their effect on the earth’s surface temperature in Indonesia and Malaysia periode years 2002 to june2021. Linear regression analysis was used to determine the effect of each greenhouse gas consisting of carbon dioxide (CO2), methane (CH4), ozone (O3), and water vapor (H2O), as well as NDVI and marine chlorophyll on surface temperature anomalies in Indonesia and Malaysia, then Cluster Analysis, Factor Analysis or Principal Component Analysis (PCA), and Multiple Linear Regression (MLR) was used to determine the effect of Greenhouse gas emmisions to earth’s surface temperature. The earth’s surface temperature used is an anomaly. The data used in this study were obtained from AIRS,MODIS-Terra, MODIS- Aqua, and FLDAS – NASA. In the Mainland during the rainy season, it was obtained as follows. Cluster 1 (NDVI and CH4), which are incombination or partially had no effect. Cluster 2 (CO2 and marine chlorophyll), which incombination affect the surface temperature anomaly, meanwhile partially had no effect. Cluster 3 (CH4 and O3), where CH4 has an effect, O3 has no effect, then both incombination have an effect. The city area in the rainy season is obtained as follows. Cluster 1 indicates that CH4 and NDVI incombination or partially did not affect the surface temperature anomaly. Cluster 2 indicates that CO2 and NDVI incombination or partially had no effect. Cluster 3 indicates that CO2, H2O, and Chlorophyll partially had no effect. Land area during the rainy season is obtained as follows. Cluster 1 indicates that H2O, CO2, and O3 had no effect. Cluster 2 indicates that CH4, Chlorophyll, and NDVI had no effect, meanwhile in combonation having an effect. Cluster 3 indicates that CO2, NDVI, and O3 had no effect, meanwhile incombination having an effect. City area in the dry season is obtained as follows. Cluster 1 indicates that CH4 and CO2 incombination or partially have an effect. Cluster 2 shows that NDVI and CH4 have an effect. Cluster 3 shows that CO2 and O3 incombination or partially affect surface temperature anomalies. Dissertations, Academic Thesis |
| spellingShingle | 2023_Modeling of The Effect of Greenhouse Gas Emissions On The Earth’s Surface Temperature in Indonesia and Malaysia |
| state | Terengganu |
| subject | Environmental modeling Greenhouse gases—Environmental aspects Atmospheric temperature—Mathematical models Global warming—Indonesia Global warming—Malaysia Climatic changes—Indonesia Climatic changes—Malaysia Carbon dioxide—Environmental aspects Earth temperature—Mathematical models Climatology—Mathematical models Dissertations, Academic |
| summary | Global warming has become a worrying problem in recent decades due to its detrimental effects on human survival and the environment. The increase in globaltemperature is due to the increased concentrations of greenhouse gases resulting from human activities, exceeding the ability of plants and the ocean to absorb them. One of the human activities that cause global warming is burning fossil fuels for power generation, industry, and transportation, which emits millions of carbon dioxide into theair. Therefore, the purpose of this study was to determine and analyze the monitoring modeling of greenhouse gas emissions in the air, regional greenness index, and marine chlorophyll, and their effect on the earth’s surface temperature in Indonesia and Malaysia periode years 2002 to june2021. Linear regression analysis was used to determine the effect of each greenhouse gas consisting of carbon dioxide (CO2), methane (CH4), ozone (O3), and water vapor (H2O), as well as NDVI and marine chlorophyll on surface temperature anomalies in Indonesia and Malaysia, then Cluster Analysis, Factor Analysis or Principal Component Analysis (PCA), and Multiple Linear Regression (MLR) was used to determine the effect of Greenhouse gas emmisions to earth’s surface temperature. The earth’s surface temperature used is an anomaly. The data used in this study were obtained from AIRS,MODIS-Terra, MODIS- Aqua, and FLDAS – NASA. In the Mainland during the rainy season, it was obtained as follows. Cluster 1 (NDVI and CH4), which are incombination or partially had no effect. Cluster 2 (CO2 and marine chlorophyll), which incombination affect the surface temperature anomaly, meanwhile partially had no effect. Cluster 3 (CH4 and O3), where CH4 has an effect, O3 has no effect, then both incombination have an effect. The city area in the rainy season is obtained as follows. Cluster 1 indicates that CH4 and NDVI incombination or partially did not affect the surface temperature anomaly. Cluster 2 indicates that CO2 and NDVI incombination or partially had no effect. Cluster 3 indicates that CO2, H2O, and Chlorophyll partially had no effect. Land area during the rainy season is obtained as follows. Cluster 1 indicates that H2O, CO2, and O3 had no effect. Cluster 2 indicates that CH4, Chlorophyll, and NDVI had no effect, meanwhile in combonation having an effect. Cluster 3 indicates that CO2, NDVI, and O3 had no effect, meanwhile incombination having an effect. City area in the dry season is obtained as follows. Cluster 1 indicates that CH4 and CO2 incombination or partially have an effect. Cluster 2 shows that NDVI and CH4 have an effect. Cluster 3 shows that CO2 and O3 incombination or partially affect surface temperature anomalies. |
| title | 2023_Modeling of The Effect of Greenhouse Gas Emissions On The Earth’s Surface Temperature in Indonesia and Malaysia |
| title_full | 2023_Modeling of The Effect of Greenhouse Gas Emissions On The Earth’s Surface Temperature in Indonesia and Malaysia |
| title_fullStr | 2023_Modeling of The Effect of Greenhouse Gas Emissions On The Earth’s Surface Temperature in Indonesia and Malaysia |
| title_full_unstemmed | 2023_Modeling of The Effect of Greenhouse Gas Emissions On The Earth’s Surface Temperature in Indonesia and Malaysia |
| title_short | 2023_Modeling of The Effect of Greenhouse Gas Emissions On The Earth’s Surface Temperature in Indonesia and Malaysia |
| title_sort | 2023_modeling of the effect of greenhouse gas emissions on the earth’s surface temperature in indonesia and malaysia |