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http://repository.ipb.ac.id/handle/123456789/107273
Title: | Curah Hujan, Anomali Sea Surface Temperature (SST), dan Kebakaran Hutan Sabana di Waingapu |
Other Titles: | Precipitation, Sea Surface Temperature Anomaly (SSTA) |
Authors: | Putra, Erianto Indra Ghaniyy, Abi Abdillah Niko |
Issue Date: | 6-Jul-2021 |
Publisher: | IPB University |
Abstract: | Waingapu merupakan salah satu daerah di Provinsi Nusa Tenggara Timur
yang sering dilanda kebakaran hutan sabana. Pencegahan kebakaran hutan dan
lahan dapat memanfaatkan data titik panas untuk dianalisis dengan Sistem
Informasi Geografis (SIG). Iklim merupakan salah satu faktor alam yang
memengaruhi terjadinya kebakaran hutan sabana di Waingapu. Tujuan penelitian
ini adalah menganalisis hubungan antara curah hujan, anomali SST, dan kejadian
kebakaran hutan sabana di Waingapu. Penelitian ini dilakukan pada bulan Februari April 2021 di Laboratorium Kebakaran Hutan dan Lahan, Departemen Silvikultur,
Fakultas Kehutanan dan Lingkungan, Institut Pertanian Bogor. Data yang
digunakan adalah data titik panas MODIS dan VIIRS, data curah hujan harian dan
data anomali SST 3.4. Hasil penelitian menunjukan bahwa curah hujan
berhubungan terbalik dengan titik panas dengan nilai korelasi negatif. Anomali SST
berhubungan terbalik dengan curah hujan dengan nilai korelasi negatif. Sedangkan
anomali SST dengan titik panas berbanding lurus dengan nilai korelasi positif. Waingapu is one of the areas in Nusa Tenggara Timur Province which often suffered from savanna fires. Savanna fires prevention can be done by utilizing hotspot data for analysis using Geographic Information System (GIS). The climate is one of factors influence the occurrence of savanna fires in Waingapu. The purpose of this study was to analyze the relationship between precipitation, SST anomalies, and the occurrences of savanna fires in Waingapu. This research was conducted on February April 2021 at the Forest and Land Fires Laboratory, Department of Silviculture, Faculty of Forestry and Environment, IPB University. The data used are MODIS and VIIRS hotspot data, daily precipitation data and SST 3.4 anomaly data. The results showed that precipitation was inversely related to hotspots with a negative correlation value. SST anomaly is inversely related to precipitation a negative correlation value. While the SST anomaly with hotspots is directly proportional with a positive correlation value. |
URI: | http://repository.ipb.ac.id/handle/123456789/107273 |
Appears in Collections: | UT - Silviculture |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Cover.pdf | Cover | 480.65 kB | Adobe PDF | View/Open |
E44170065_ABI ABDILLAH NIKO GHANIYY.pdf Restricted Access | Fullteks | 843.69 kB | Adobe PDF | View/Open |
Lampiran.pdf Restricted Access | Lampiran | 1.77 MB | Adobe PDF | View/Open |
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