CD Tesis
Model Hidrologi Untuk Prediksi Elevasi Muka Air Tanah Pada Gambut Tropis Sebagai Upaya Mitigasi Kebakaran Di Kabupaten Bengkalis
One of the most important components to prevent the occurrence of fires in Tropis peatland is groundwater level. Monitoring groundwater level directly in the field requires a high cost. Therefore is Background, this study will make Hydrological Model for Prediction of Groundwater Level in Tropis Peatland as Fire Mitigation Efforts based on rainfall data and groundwater level data.
This reseach modeling use regression method with Microsoft excel. Modeling is done by looking for correlations between groundwater level with daily water loss of groundwater level (dWloss) and rainfall data and raise of groundwater level (dWRain). Modeling is made of three models, namely: Modeling 1 with rainfall data and groundwater level data for 1 month, Modeling 2 rainfall data and groundwater level data for 3 months and Modeling 3 rainfall data and groundwater level data for 6 months.
The results of Modeling 1 analysis (dWloss) a correlation value (R) = 0.0156 (very weak correlation ) with the equation: y = 0,0351x - 0,0039 and (dWRain) a correlation value (R) = 0,9029 (very strong correlation) with the equation: y = 0,8993x + 0,0004. seen from the graph for modeling 1 the predicted groundwater level does not follow the measured groundwater level with the MSE value (Mean Squared Error) = 0,1256 and MAPE (Mean Absolute Percentage Error ) = 92,21 %. The results of Modeling 2 analysis (dWloss) a correlation value (R) = 0,0825 (very weak correlation) with the equation: y = 0,0169x + 0,0019 and (dWRain) a correlation value (R) = 0,7078 (strong correlation) with the equation: y = 1,1069x + 0,0002, seen from the graph for modeling 2 predicted groundwater level do not follow the measured groundwater level with MSE = 0,0564 and MAPE = 86,75 %. The results of Modeling 3 analysis (dWloss) a correlation value (R) = 0,0083 (very weak correlation) with the equation: y = 0,0133x + 0,0104 and (dWRain) a correlation value (R) = 0,2583 . Seen from the graph for modeling 3 Predicted groundwater level have followed the measured groundwater level with MSE = 0,0130 and MAPE = 37,49 %. From 3 modeling analyzed, modeling 3 is a modeling have the smallest MSE and MAPE with a success value modelling 62,51 %.
Keywords : Modeling, regression method, correlation, groundwater level, MSE and MAPE.
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