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Developing insights into river corridor and watershed hydro-biogeochemistry across scales


Dipankar Dwivedi is a Research Scientist in the Geochemistry Department at Lawrence Berkeley National Laboratory. Dr. Dwivedi received his Ph.D. from Texas A&M University. His research focuses on reactive transport modeling, soil carbon dynamics, redox processes, and organo-mineral interactions. He also has extensive experience with machine learning techniques, and data assimilation approaches. Dr. Dwivedi is currently working on advancing process understanding of coupled carbon and nitrogen cycling under transient hydrological conditions across scales.


Improving the predictive capabilities of the river corridor and watershed hydro-biogeochemistry across the watershed scale requires overcoming several underlying challenges, such as implementing an appropriate model structure as well as applying adequate parameters and meeting significant computational demands. In this presentation, I will talk about a scale-adaptive framework: a cascade of process integration from a meander to the floodplain to the sub-watershed and watershed scales. The framework is used to compute geochemical exports and river water quality as a function of the characteristic watershed features, such as topography, wetness index, meanders, sinuosity, and amplitudes.

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