COVARIANCE CORRECTION FOR ESTIMATING GROUNDWATER LEVEL USING DETERMINISTIC ENSEMBLE KALMAN FILTER
The main problem in developing a groundwater model is to determine model parameters, particularly hydrogeologic coefficients, in a precise way. In this research, Deterministic Ensemble Kalman Filter (DEnKF) is described as a modern sequential method for data assimilation and a localization scheme wi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
El Oued University
2015-01-01
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| Series: | Journal of Fundamental and Applied Sciences |
| Subjects: | |
| Online Access: | http://www.jfas.info/index.php/jfas/article/download/3/2 |
| _version_ | 1818488210986106880 |
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| author | J. Behmanesh M. M. Bateni |
| author_facet | J. Behmanesh M. M. Bateni |
| author_sort | J. Behmanesh |
| collection | DOAJ |
| description | The main problem in developing a groundwater model is to determine model parameters, particularly hydrogeologic coefficients, in a precise way. In this research, Deterministic Ensemble Kalman Filter (DEnKF) is described as a modern sequential method for data assimilation and a localization scheme within the framework of DEnKF is applied. Najafabad aquifer (in Iran) with area of 1150 km2, is modeled in the time window of Oct. 2000 to Sept. 2007 to obtain water table level data when its values of hydrogeologic coefficients calibrated and verified. DEnKF assimilated 45 observations of true run into the model with 2, 5, and 10 times of calibrated values of hydraulic conductivity and specific yield. This filter has been run both with and without use of localization. Results show easily-implemented localized DEnKF is favorably robust in groundwater flow modeling. |
| first_indexed | 2024-12-10T16:48:04Z |
| format | Article |
| id | doaj.art-2db1b44cbaeb4d59b32079e01ff6ec44 |
| institution | Directory Open Access Journal |
| issn | 1112-9867 |
| language | English |
| last_indexed | 2024-12-10T16:48:04Z |
| publishDate | 2015-01-01 |
| publisher | El Oued University |
| record_format | Article |
| series | Journal of Fundamental and Applied Sciences |
| spelling | doaj.art-2db1b44cbaeb4d59b32079e01ff6ec442022-12-22T01:40:59ZengEl Oued UniversityJournal of Fundamental and Applied Sciences1112-98672015-01-0171113COVARIANCE CORRECTION FOR ESTIMATING GROUNDWATER LEVEL USING DETERMINISTIC ENSEMBLE KALMAN FILTERJ. Behmanesh0M. M. Bateni1Department of Water Engineering, Urmia University, Urmia, IranDepartment of Water Engineering, Urmia University, Urmia, IranThe main problem in developing a groundwater model is to determine model parameters, particularly hydrogeologic coefficients, in a precise way. In this research, Deterministic Ensemble Kalman Filter (DEnKF) is described as a modern sequential method for data assimilation and a localization scheme within the framework of DEnKF is applied. Najafabad aquifer (in Iran) with area of 1150 km2, is modeled in the time window of Oct. 2000 to Sept. 2007 to obtain water table level data when its values of hydrogeologic coefficients calibrated and verified. DEnKF assimilated 45 observations of true run into the model with 2, 5, and 10 times of calibrated values of hydraulic conductivity and specific yield. This filter has been run both with and without use of localization. Results show easily-implemented localized DEnKF is favorably robust in groundwater flow modeling.http://www.jfas.info/index.php/jfas/article/download/3/2localizationGroundwater flow modelData assimilationGroundwater flow model |
| spellingShingle | J. Behmanesh M. M. Bateni COVARIANCE CORRECTION FOR ESTIMATING GROUNDWATER LEVEL USING DETERMINISTIC ENSEMBLE KALMAN FILTER Journal of Fundamental and Applied Sciences localization Groundwater flow model Data assimilation Groundwater flow model |
| title | COVARIANCE CORRECTION FOR ESTIMATING GROUNDWATER LEVEL USING DETERMINISTIC ENSEMBLE KALMAN FILTER |
| title_full | COVARIANCE CORRECTION FOR ESTIMATING GROUNDWATER LEVEL USING DETERMINISTIC ENSEMBLE KALMAN FILTER |
| title_fullStr | COVARIANCE CORRECTION FOR ESTIMATING GROUNDWATER LEVEL USING DETERMINISTIC ENSEMBLE KALMAN FILTER |
| title_full_unstemmed | COVARIANCE CORRECTION FOR ESTIMATING GROUNDWATER LEVEL USING DETERMINISTIC ENSEMBLE KALMAN FILTER |
| title_short | COVARIANCE CORRECTION FOR ESTIMATING GROUNDWATER LEVEL USING DETERMINISTIC ENSEMBLE KALMAN FILTER |
| title_sort | covariance correction for estimating groundwater level using deterministic ensemble kalman filter |
| topic | localization Groundwater flow model Data assimilation Groundwater flow model |
| url | http://www.jfas.info/index.php/jfas/article/download/3/2 |
| work_keys_str_mv | AT jbehmanesh covariancecorrectionforestimatinggroundwaterlevelusingdeterministicensemblekalmanfilter AT mmbateni covariancecorrectionforestimatinggroundwaterlevelusingdeterministicensemblekalmanfilter |