Groundwater Pollution Concentration Estimation with Modified Kalman Filter Method

Groundwater quality is very important for human health. Estimation of groundwater pollution concentration to determine groundwater quality is necessary. The concentration of groundwater pollution is estimated using the modified Kalman filter method. The modified Kalman filter method is a method that...

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Main Authors: Nenik Estuningsih, Fatmawati Fatmawati
Format: Article
Language:English
Published: Mathematics Department UIN Maulana Malik Ibrahim Malang 2024-11-01
Series:Cauchy: Jurnal Matematika Murni dan Aplikasi
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Online Access:https://ejournal.uin-malang.ac.id/index.php/Math/article/view/28467
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author Nenik Estuningsih
Fatmawati Fatmawati
author_facet Nenik Estuningsih
Fatmawati Fatmawati
author_sort Nenik Estuningsih
collection DOAJ
description Groundwater quality is very important for human health. Estimation of groundwater pollution concentration to determine groundwater quality is necessary. The concentration of groundwater pollution is estimated using the modified Kalman filter method. The modified Kalman filter method is a method that collaborates the Kalman filter estimation algorithm with the model order reduction method. The model order reduction method used in this research is the LMI (Linear Matrix Inequality) method because the model reduction error using the LMI method is the smallest error compared to the reduction error using the Balanced Truncation method or the Singular Pertrubation Approximation method. The modified Kalman filter method is used in order to obtain accurate estimation results with a short computation time. It is found that the implementation of the Kalman filter algorithm in the original system as well as the implementation of the modified Kalman filter method of the reduced system with the LMI method produces very good estimates, close to the real state variable. The estimation of the original system takes longer time than the reduced system.
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institution OA Journals
issn 2086-0382
2477-3344
language English
publishDate 2024-11-01
publisher Mathematics Department UIN Maulana Malik Ibrahim Malang
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series Cauchy: Jurnal Matematika Murni dan Aplikasi
spelling doaj-art-12cdb34be1ea4e4394c40f8cbc6ae29d2025-08-20T02:12:46ZengMathematics Department UIN Maulana Malik Ibrahim MalangCauchy: Jurnal Matematika Murni dan Aplikasi2086-03822477-33442024-11-019223724610.18860/ca.v9i2.284678264Groundwater Pollution Concentration Estimation with Modified Kalman Filter MethodNenik Estuningsih0Fatmawati Fatmawati1Universitas AirlanggaUniversitas AirlanggaGroundwater quality is very important for human health. Estimation of groundwater pollution concentration to determine groundwater quality is necessary. The concentration of groundwater pollution is estimated using the modified Kalman filter method. The modified Kalman filter method is a method that collaborates the Kalman filter estimation algorithm with the model order reduction method. The model order reduction method used in this research is the LMI (Linear Matrix Inequality) method because the model reduction error using the LMI method is the smallest error compared to the reduction error using the Balanced Truncation method or the Singular Pertrubation Approximation method. The modified Kalman filter method is used in order to obtain accurate estimation results with a short computation time. It is found that the implementation of the Kalman filter algorithm in the original system as well as the implementation of the modified Kalman filter method of the reduced system with the LMI method produces very good estimates, close to the real state variable. The estimation of the original system takes longer time than the reduced system.https://ejournal.uin-malang.ac.id/index.php/Math/article/view/28467estimation, groundwater qualitykalman filterlinear matrix inequalityreduced system
spellingShingle Nenik Estuningsih
Fatmawati Fatmawati
Groundwater Pollution Concentration Estimation with Modified Kalman Filter Method
Cauchy: Jurnal Matematika Murni dan Aplikasi
estimation, groundwater quality
kalman filter
linear matrix inequality
reduced system
title Groundwater Pollution Concentration Estimation with Modified Kalman Filter Method
title_full Groundwater Pollution Concentration Estimation with Modified Kalman Filter Method
title_fullStr Groundwater Pollution Concentration Estimation with Modified Kalman Filter Method
title_full_unstemmed Groundwater Pollution Concentration Estimation with Modified Kalman Filter Method
title_short Groundwater Pollution Concentration Estimation with Modified Kalman Filter Method
title_sort groundwater pollution concentration estimation with modified kalman filter method
topic estimation, groundwater quality
kalman filter
linear matrix inequality
reduced system
url https://ejournal.uin-malang.ac.id/index.php/Math/article/view/28467
work_keys_str_mv AT nenikestuningsih groundwaterpollutionconcentrationestimationwithmodifiedkalmanfiltermethod
AT fatmawatifatmawati groundwaterpollutionconcentrationestimationwithmodifiedkalmanfiltermethod