A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme
© 2018 Elsevier B.V. Climate change can significantly influence terrestrial water changes around the world particularly in places that have been proven to be more vulnerable such as Bangladesh. In the past few decades, climate impacts, together with those of excessive human water use have changed t...
| Main Authors: | , , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2018
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| Online Access: | http://hdl.handle.net/20.500.11937/65487 |
| _version_ | 1848761141658910720 |
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| author | Khaki, M. Forootan, E. Kuhn, Michael Awange, Joseph Papa, F. Shum, C. |
| author_facet | Khaki, M. Forootan, E. Kuhn, Michael Awange, Joseph Papa, F. Shum, C. |
| author_sort | Khaki, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | © 2018 Elsevier B.V. Climate change can significantly influence terrestrial water changes around the world particularly in places that have been proven to be more vulnerable such as Bangladesh. In the past few decades, climate impacts, together with those of excessive human water use have changed the country's water availability structure. In this study, we use multi-mission remotely sensed measurements along with a hydrological model to separately analyze groundwater and soil moisture variations for the period 2003–2013, and their interactions with rainfall in Bangladesh. To improve the model's estimates of water storages, terrestrial water storage (TWS) data obtained from the Gravity Recovery And Climate Experiment (GRACE) satellite mission are assimilated into the World-Wide Water Resources Assessment (W3RA) model using the ensemble-based sequential technique of the Square Root Analysis (SQRA) filter. We investigate the capability of the data assimilation approach to use a non-regional hydrological model for a regional case study. Based on these estimates, we investigate relationships between the model derived sub-surface water storage changes and remotely sensed precipitations, as well as altimetry-derived river level variations in Bangladesh by applying the empirical mode decomposition (EMD) method. A larger correlation is found between river level heights and rainfalls (78% on average) in comparison to groundwater storage variations and rainfalls (57% on average). The results indicate a significant decline in groundwater storage (~32% reduction) for Bangladesh between 2003 and 2013, which is equivalent to an average rate of 8.73 ± 2.45 mm/year. |
| first_indexed | 2025-11-14T10:26:57Z |
| format | Journal Article |
| id | curtin-20.500.11937-65487 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:26:57Z |
| publishDate | 2018 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-654872018-02-19T08:06:42Z A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme Khaki, M. Forootan, E. Kuhn, Michael Awange, Joseph Papa, F. Shum, C. © 2018 Elsevier B.V. Climate change can significantly influence terrestrial water changes around the world particularly in places that have been proven to be more vulnerable such as Bangladesh. In the past few decades, climate impacts, together with those of excessive human water use have changed the country's water availability structure. In this study, we use multi-mission remotely sensed measurements along with a hydrological model to separately analyze groundwater and soil moisture variations for the period 2003–2013, and their interactions with rainfall in Bangladesh. To improve the model's estimates of water storages, terrestrial water storage (TWS) data obtained from the Gravity Recovery And Climate Experiment (GRACE) satellite mission are assimilated into the World-Wide Water Resources Assessment (W3RA) model using the ensemble-based sequential technique of the Square Root Analysis (SQRA) filter. We investigate the capability of the data assimilation approach to use a non-regional hydrological model for a regional case study. Based on these estimates, we investigate relationships between the model derived sub-surface water storage changes and remotely sensed precipitations, as well as altimetry-derived river level variations in Bangladesh by applying the empirical mode decomposition (EMD) method. A larger correlation is found between river level heights and rainfalls (78% on average) in comparison to groundwater storage variations and rainfalls (57% on average). The results indicate a significant decline in groundwater storage (~32% reduction) for Bangladesh between 2003 and 2013, which is equivalent to an average rate of 8.73 ± 2.45 mm/year. 2018 Journal Article http://hdl.handle.net/20.500.11937/65487 10.1016/j.scitotenv.2017.12.289 Elsevier restricted |
| spellingShingle | Khaki, M. Forootan, E. Kuhn, Michael Awange, Joseph Papa, F. Shum, C. A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme |
| title | A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme |
| title_full | A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme |
| title_fullStr | A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme |
| title_full_unstemmed | A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme |
| title_short | A study of Bangladesh's sub-surface water storages using satellite products and data assimilation scheme |
| title_sort | study of bangladesh's sub-surface water storages using satellite products and data assimilation scheme |
| url | http://hdl.handle.net/20.500.11937/65487 |