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Using Earth Observations and GLDAS Model to Monitor Water Budgets for River Basin Management

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Advanced Modelling and Innovations in Water Resources Engineering

Part of the book series: Lecture Notes in Civil Engineering ((LNCE,volume 176))

Abstract

Using the hydrologic decision support system water quality monitoring is also the most significant approach for sustainable hydrological cycle of any catchment region. Even with the uncertainties, earth observation remote sensing (RS) and Global Land Data Assimilation System (GLDAS) data employed to assess inter-annual and seasonal variability in individual water mechanisms and to get signs of decrease/increase in water availability for relatively large river basins. Evaluation of empirical methodology or local knowledge with the RS and GLDAS data may help in assessing the usefulness of best agricultural practice management system in the watershed. RS can contribute to understanding, predicting, and monitoring the water balance of large, poorly instrumented basins. There is power in merging data streams, through both multi-sensor algorithm and data assimilation system. Uncertainties are substantial and should not be understated. Collaborative analysis can, sometimes, overcome skepticism of remotely sensed products. Our research focuses on amounts of precipitation, evapotranspiration, storm surface runoff and change in terrestrial storage in the river basin for dry and wet seasons were calculated from remote sensing-based GPM IMERG, MODIS, and GRACE/GRACE-FO-derived GLDAS-CLSM model during the wet and dry seasons on 2004–2005, 2009–2010, 2014–2015, and 2018–2019 in Mahanadi river basin, India. More accurate, quantitative estimation of water budget continues to be a challenge for a variety of reasons such as climate change, land cover dynamics, anthropogenic water diversions, etc. The spread of estimates can be used for assessing the uncertainty.

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Acknowledgements

The authors do hereby acknowledged the contribution Visva-Bharati (A Central University), West Bengal, India, for facilitating this research work.

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  1. Department of Agricultural Engineering, Institute of Agriculture, Visva-Bharati, Sriniketan, West Bengal, 731236, India

    Chiranjit Singha & Kishore C. Swain

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  1. Chiranjit Singha
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  2. Kishore C. Swain
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Editors and Affiliations

  1. Department of Civil Engineering, National Institute of Technology Jamshedpur, Jamshedpur, Jharkhand, India

    Chintalacheruvu Madhusudana Rao

  2. Department of Civil Engineering, National Institute of Technology Rourkela, Rourkela, Odisha, India

    K. C. Patra

  3. Department of Soil and Water Conservation Engineering, College of Agricultural Engineering and Post Harvest Technology, Central Agricultural University, Gangtok, Sikkim, India

    D. Jhajharia

  4. Department of Civil Engineering, National Institute of Technology Jamshedpur, Jamshedpur, Jharkhand, India

    Sangeeta Kumari

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Singha, C., Swain, K.C. (2022). Using Earth Observations and GLDAS Model to Monitor Water Budgets for River Basin Management. In: Rao, C.M., Patra, K.C., Jhajharia, D., Kumari, S. (eds) Advanced Modelling and Innovations in Water Resources Engineering. Lecture Notes in Civil Engineering, vol 176. Springer, Singapore. https://doi.org/10.1007/978-981-16-4629-4_34

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  • DOI: https://doi.org/10.1007/978-981-16-4629-4_34

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