Please use this identifier to cite or link to this item:
http://repository.ipb.ac.id/handle/123456789/121245
Title: | Analisis Perbandingan Metode Perhitungan Evapotranspirasi dan Kaitannya dengan Kebakaran Hutan dan Lahan di Indonesia |
Authors: | Nurdiati, Sri Nugrahani, Endar Hasafah Ivana |
Issue Date: | 2023 |
Abstract: | Kebakaran hutan dan lahan (karhutla) ditetapkan sebagai bencana alam
nasional di Indonesia. Salah satu faktor alami karhutla adalah El-Niño yang dapat menyebabkan kemarau berkepanjangan sehingga kekeringan terjadi. Standardized Precipitation-Evapotranspiration Index (SPEI) adalah salah satu indeks kekeringan yang memperhatikan evapotranspirasi potensial (PET) dan presipitasi. PET dapat dihitung dengan berbagai metode antara lain Penman-Monteith, Thornthwaite dan Stephens-Steward. Penelitian ini bertujuan untuk menentukan metode perhitungan PET yang paling efektif dalam jumlah variabel, kemiripan sebaran dan selisih dengan data asli/catat untuk menyatakan karhutla di Indonesia. Metode Thornthwaite membutuhkan variabel yang paling sedikit dibandingkan kedua metode lainnya. Berdasarkan DTW dan Euclidean Distance, Thornthwaite memiliki sebaran yang paling mirip dengan data asli. Selain itu, selisih data
Thornthwaite paling kecil terhadap data asli. Oleh karena itu, metode
Thornthwaite merupakan metode yang paling efektif dibandingkan Penman Monteith dan Stephens-Steward bagi Indonesia. Forest and land fires are set as a national natural disaster in Indonesian. One of natural factors of forest and land fires is El-Niño that can cause long dry season so that droughts occur. One of the droughts index is Standardized Precipitation-Evapotranspiration Index (SPEI). This index examines potential evapotranspirations (PET) and precipitations. PET can be calculated by various methods including Penman-Monteith, Thornthwaite and Stephens-Steward. This study aims to determine the most effective PET calculation method in number of variables, similarity of distribution and difference with recorded data for declaring forest and land fires in Indonesia. Thornthwaite method requires the fewest variables compared to the other two methods. Based on DTW and Euclidean Distances, the data distribution of Thornthwaite is most similar to the original data. In addition, the difference of the Thornthwaite's data and the original data is the smallest. Because of that, the Thornthwaite method is the most effective method compared to Penman-Monteith and Stephens-Steward for Indonesian. |
URI: | http://repository.ipb.ac.id/handle/123456789/121245 |
Appears in Collections: | UT - Mathematics |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Cover.pdf Restricted Access | Cover | 604.43 kB | Adobe PDF | View/Open |
Draft Tugas Akhir Watermark-signed.pdf Restricted Access | Fullteks | 6.62 MB | Adobe PDF | View/Open |
Lampiran.pdf Restricted Access | Lampiran | 3.53 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.