Xiaomin is a water resources engineer with experience in watershed-scale hydrological modeling and data analysis. Her expertise includes developing multivariate regression models, investigate the fate and transport of water quality parameters within receiving waters and data analysis to support of water quality model development. Xiaomin also has supported the development of TMDL models for nutrient, including the processing of spatial data for model setup and calibration of both hydrology and water quality. She applies her knowledge of computer systems and GIS to support complex hydrology and surface water quality studies. As part of the Paradigm team, Xiaomin has developed several data analysis and plotting tools to improve the efficiency of hydrological and water quality calibration and the production of reports.
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