Gustavious Williams

Associate Professor

Brigham Young University

United States

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Gustavious Williams is an Associate Professor at Brigham Young University, USA. His research primarily focuses on hydrologic modeling, geochemical analysis, and environmental monitoring, as evidenced by his recent publications on hydrologic model accuracy evaluation and the analysis of sediment cores from Utah Lake. He also investigates nutrient deposition patterns and trophic state evolution in aquatic systems, contributing significantly to the understanding of water quality and management.

Articles (29)

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Collaborators (5)

Michael Follum

UNITED STATES

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Daniel P. Ames

Brigham Young University

UNITED STATES

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Jorge L. Sanchez

Brigham Young University

UNITED STATES

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Hyongki Lee

Associate Professor

University of Houston

UNITED STATES

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Norman Jones

Professor and Chair

Brigham Young University

UNITED STATES

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Gustavious Williams

Research Interests

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About

Articles (29)

Assessing Coincidence of Satellite Acquisitions and Flood Events to Predict Suitability for Flood Map Synthesis

Friends don't let friends use Nash-Sutcliffe Efficiency (NSE) or KGE for hydrologic model accuracy evaluation: A rant with data and suggestions for better practice

A Geochemical Study of Near-Shore Sediment Cores from Utah Lake, UT, USA

A Six-Year, Spatiotemporally Comprehensive Dataset and Data Retrieval Tool for Analyzing Chlorophyll-a, Turbidity, and Temperature in Utah Lake Using Sentinel and MODIS Imagery

Impact of Elevation and Hydrography Data on Modeled Flood Map Accuracy Using ARC and Curve2Flood

A Phosphorus Microfractionation (P-MF) Method for Measuring Phosphorus Fractions in Small Quantities of Suspended Solids and Sediments: Detailed Method and Example Application

Application of the Groundwater Data Mapper Tool to Assess Storage Changes in a Groundwater-Driven Basin in the Klamath Watershed, Oregon, USA

Precipitation-Related Atmospheric Nutrient Deposition in Farmington Bay: Analysis of Spatial and Temporal Patterns

Trophic State Evolution of 45 Yellowstone Lakes over Two Decades: Field Data and a Longitudinal Study

Hydrologic Decision Support in the Nile Basin: Creating Status Products from the GEOGLOWS Hydrologic Model

Dense Time Series Generation of Surface Water Extents through Optical–SAR Sensor Fusion and Gap Filling

Regulated Inductively Coupled Plasma–Optical Emission Spectrometry Detectible Elements in Utah Lake: Characterization and Discussion

Historical Phosphorus Mass and Concentrations in Utah Lake: A Case Study with Implications for Nutrient Load Management in a Sorption-Dominated Shallow Lake

Economy of Scale of Energy Intensity in Aquifer Storage and Recovery (ASR)

Improving Groundwater Imputation through Iterative Refinement Using Spatial and Temporal Correlations from In Situ Data with Machine Learning

Correction: Barbosa et al. Evaluating Groundwater Storage Change and Recharge Using GRACE Data: A Case Study of Aquifers in Niger, West Africa. Remote Sens. 2022, 14, 1532

Pathways to Enhancing Analysis of Irrigation by Remote Sensing (AIRS) in Urban Settings

LASSO (L1) Regularization for Development of Sparse Remote-Sensing Models with Applications in Optically Complex Waters Using GEE Tools

Exploiting Earth Observations to Enable Groundwater Modeling in the Data-Sparse Region of Goulbi Maradi, Niger

Source Attribution of Atmospheric Dust Deposition to Utah Lake

Estimated energy and emissions impacts of pumping Pacific Ocean water to Great Salt Lake

Nutrient Loadings to Utah Lake from Precipitation-Related Atmospheric Deposition

Bias Correcting Discharge Simulations from the GEOGloWS Global Hydrologic Model

An Open‐Source Web Application for Regional Analysis of GRACE Groundwater Data and Engaging Stakeholders in Groundwater Management

Groundwater Level Data Imputation Using Machine Learning and Remote Earth Observations Using Inductive Bias

Methods for Characterizing Groundwater Resources with Sparse In Situ Data

Evaluating Groundwater Storage Change and Recharge Using GRACE Data: A Case Study of Aquifers in Niger, West Africa

A Spatial Long-Term Trend Analysis of Estimated Chlorophyll-a Concentrations in Utah Lake Using Earth Observation Data

SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models

Collaborators (5)

Michael Follum

Daniel P. Ames

Jorge L. Sanchez

Hyongki Lee

Norman Jones

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