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Water Storage Variations Over Bangladesh

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Satellite Remote Sensing in Hydrological Data Assimilation
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Abstract

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.

In the absence of any considerable decrease in precipitation over the region, a remarkable groundwater reduction is observed from the first and second Intrinsic Mode Functions (IMFs), which can be referred to human impacts. High spatio-temporal resolution remote sensing products along with the data assimilation methodology show a high capability for studying water storages in Bangladesh.

—M. Khaki (This chapter is presented following Khaki et al. (2018b), “A study of Bangladesh’s sub-surface water storages using satellite products and data assimilation scheme”)

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Acknowledgements

We would like to thank Dr. Ashraf Dewan and who provided us valuable groundwater and soil moisture in-situ measurements over Bangladesh. Authors are also grateful to BWDB (http://www.hydrology.bwdb.gov.bd/) for in-situ data. M. Khaki is grateful for the research grant of Curtin International Postgraduate Research Scholarships (CIPRS)/ORD Scholarship provided by Curtin University (Australia). This work is a TIGeR publication and supported by the Belmont Forum/G8 Project on coastal vulnerability, in the US via the National Science Foundation (Grant No. ICER-1342644).

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Correspondence to Mehdi Khaki .

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Khaki, M. (2020). Water Storage Variations Over Bangladesh. In: Satellite Remote Sensing in Hydrological Data Assimilation. Springer, Cham. https://doi.org/10.1007/978-3-030-37375-7_12

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