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- H13P-1289: Controls on Streamflow Generation and Surface Water Quality Using ML and Streamflow Sensitivity of Fraction of Young Water
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Board 1289‚ Hall EFG (Poster Hall)NOLA CC
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Timothy Nsubuga, University of Massachusetts Amherst (First Author, Presenting Author)
Raul Vera, University of Massachusetts Amherst
Zelalem Womber, University of Massachusetts Amherst
Vishawjot Sandu, University of Massachusetts Amherst
Jimi Oke, University of Massachusetts Amherst
Christian Guzman, University of Massachusetts Amherst
The fraction of water aged less than 2-3 months from collection, fraction of young water, Fyw has been utilized to investigate landscape, rainfall-climate relationships to streamflow generation. This streamflow sensitivity of Fyw is estimated as the line of best fit between Fyw and streamflow. Streamflow and Fyw have been shown to represent wetness of an area and the presence of recent rainfall in streams, respectively. Highly variable Fyw and high streamflow sensitivity is associated with both waters flowing over the land surface and out of it during rainfall in less humid, lower elevation areas with rainfall that has highly variable chemical composition. We hypothesize that the Connecticut River Valley (CRV) of the Northeastern US exhibits highly variable Fyw and high streamflow sensitivity of Fyw. We test this hypothesis by (1) determining whether mathematical models or Machine Learning models can better predict rainfall and stream chemical composition, (2) compare streamflow-weighted and unweighted rainfall and stream chemical composition, for calculating streamflow sensitivity of Fyw , and (3) investigate relationships between streamflow sensitivity of Fyw and average rainfall, streamflow, land, and water quality variables. We aim to understand how changes in streamflow generation have affected surface water quality over the past 25 years.
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