CD Tesis

Pemodelan Hidrologi Untuk Prediksi Kedalaman Muka Air Tanah Di Lahan Gambut (Studi Kasus di KHG Pulau Bengkalis)

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The objective of this research is to analyze and examine the relationship between rainfall and the depth of the groundwater table as a hydrological response to hydrological events. This analysis will be conducted using the Hydrological Modeling approach for Predicting the Depth of the Groundwater Table in Peatlands (Case Study in KHG Bengkalis Island). The present study utilizes Microsoft Excel software to as certain the correlation between rainfall and water table depth, there by deriving the regression equation's value. The parameters utilized encompass the values of both rainfall and water level, the former sourced from the Peatland Water Monitoring System (PWM), and the latter from the Japan Aerospace Exploration Agency (JAXA) and the Meteorology, Climatology and Geophysics Agency (BMKG). It is hypothesized that fluctuations in the depth of the water table are influenced by variations in rainfall. Given the scarcity of rainfall data, researchers employed three modeling scenarios with variations in rainfall values based on the available data sources to obtain the appropriate model.
The three model scenarios are as follows: The first scenario is characterized by SIPALAGA rainfall and a SIPALAGA groundwater level, with a one-month data length coefficient of correlation of 0,399 and a six-month data length coefficient of correlation of 0,144, indicating a low interpretation. 0,144 very low interpretation, 12 months data length coef. correlation: 0,138 very low interpretation; (2) JAXA Satellite rainfall with SIPALAGA groundwater level data length 1 month coef. correlation: 0,027 very low interpretation, 6 months data length coef. correlation: 0,371 low interpretation, 12 months data length coef. correlation: 0,255 low interpretation; (3) JAXA Satellite Precipitation Calibration with SIPALAGA Groundwater Level data length 1 month coef. correlation: 0,708 moderate interpretation, 6 months data length coef. correlation: 0,083 very low interpretation, 12 months data length coef. correlation: 0,684 medium interpretation. The findings of the research on the three scenarios of the Rainfall data source can be concluded as follows: the JAXA Satellite Calibration, which shows the Interpretation Value (R), has a correlation between the Predicted Water Level value and the Measured Water Level value. Its suitability/correlation value is classified as Moderate, as seen in the one-month data length: 0,708.

Keywords : Water Level, Rainfall, Hydrological Modeling.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2110247652

Penerbit

Pekanbaru : Universitas Riau – Pascasarjana – Tesis Teknik Sipil., 2024

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2110247652

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

TEKNIK SIPIL

Info Detail Spesifik

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Pernyataan Tanggungjawab

Jaka

Versi lain/terkait

Lampiran Berkas

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