| Autor: |
Haji Zahari, Muhammad Iskandar Hanafi Bin Pengiran, Karri, Rama Rao, Isa, Mohamed Hasnain, Zahran, El-Said Mamdouh Mahmoud, Nagendra, S. M. Shiva |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2643 Issue 1, p1-8, 8p |
| Abstrakt: |
Forest fires are destroying wildlife habitat and pollutes air with emissions dangerous to human health. Increased carbon dioxide in the atmosphere by the wildfire contributes to the greenhouse effects and climate change. The ashes remove a lot of nutrients and eroded soils, causes landslides and flooding. Brunei Darussalam rich in biodiversity and tropical forest resources is increasingly recording more forest fires every year. These fires destroy the precious forest resources of the country, degrade the environmental quality particularly deteriorate air quality and cause significant economic loss in terms of property, infrastructure and possess threat to human health as well as ecosystem. Therefore, the objective of the study is to analyze the forest fire contributors such as topographic, human factor, climate, ignition factor, and vegetation and use a soft computing technique (machine learning) to classify the possible of occurrence. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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