CD Skripsi

Prediksi Fluktuasi Muka Air Tanah Untuk Mitigasi Kebakaran Di Lahan Gambut

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In 2014 and 2015 Indonesia experienced a very severe haze disaster that caused huge economic losses and public health problems because peatland fires in the Sumatra and Kalimantan island. Groundwater depth is a key parameter for assessing the level of fire risk on peatland, so that if the predicted fluctuations in ground water levels in the next few days or weeks, the risk of fire can also be estimated. The purpose of this study was to make a hydrological model using regression analysis that can be used to predict groundwater levels on peat land, so that it can be used to predict the level of risk of land fires as a basis for early warning. The data used for modeling are rainfall data and fluctuations in groundwater depth recorded historically on peat land obtained from SESAME tools. Regression analysis was carried out using four data length skenarios, that is 3 months, 6 months, 9 months, and 12 months to find out which time period could represent hydrological conditions in the field. The results showed that the regression analysis with a data 6 months length gave the best results of the groundwater prediction with a correlation coefficient value of 0,86.

Keywords: Regression analysis, groundwater level, fire mitigation, tropical peat

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

07 01. 119 (0097)

Penerbit

Pekanbaru : Universitas Riau – Fakultas Teknik – Teknik Sipil., 2019

Deskripsi Fisik

xv, 52 hlm.; ill.; 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

07 01. 119 (0097)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SIPIL

Info Detail Spesifik

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Pernyataan Tanggungjawab

DAUS

Versi lain/terkait

Lampiran Berkas

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