Emily A. Baker

ORCID: 0000-0003-3443-5419
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About
Contact & Profiles
Research Areas
  • Groundwater flow and contamination studies
  • Hydrology and Watershed Management Studies
  • Flood Risk Assessment and Management
  • Fish Ecology and Management Studies
  • Hydrological Forecasting Using AI
  • Tropical and Extratropical Cyclones Research
  • Hydrology and Sediment Transport Processes
  • Reservoir Engineering and Simulation Methods
  • Soil and Unsaturated Flow
  • Landslides and related hazards
  • Geological formations and processes
  • Meteorological Phenomena and Simulations
  • Marine and environmental studies
  • Climate variability and models
  • Water Quality Monitoring Technologies
  • Image Processing and 3D Reconstruction
  • Water-Energy-Food Nexus Studies
  • Urban Heat Island Mitigation
  • Soil Moisture and Remote Sensing
  • Geology and Paleoclimatology Research
  • Cryospheric studies and observations
  • Hydrology and Drought Analysis
  • Physiological and biochemical adaptations
  • Climate change and permafrost
  • Radiative Heat Transfer Studies

University of Pavia
2022-2023

Syracuse University
2016-2020

Abstract Groundwater flow modeling is commonly used to calculate groundwater heads, estimate paths and travel times, provide insights into solute transport processes within an aquifer. However, the values of input parameters that drive models are often highly uncertain due subsurface heterogeneity geologic complexity in combination with lack measurements/unreliable measurements. This uncertainty affects accuracy reliability model outputs. Therefore, parameters’ must be quantified before...

10.1007/s13137-023-00219-8 article EN cc-by GEM - International Journal on Geomathematics 2023-04-17

Abstract Although stream temperature energy balance models are useful to predict through time and space, a major unresolved question is whether fluctuations in discharge reduce model accuracy when not exactly represented. However, high‐frequency (e.g., subdaily) observations often unavailable for such simulations, therefore, diurnal streamflow typically represented models. These common due evapotranspiration, snow pack or glacial melt, tidal influences within estuaries, regulated river...

10.1002/hyp.13226 article EN Hydrological Processes 2018-07-06

The City of Alexandria, Virginia, has experienced repeated and increasingly frequent flooding events attributable to old infrastructure, inconsistent design criteria, perhaps climate change. purpose this project is provide a program that, over period up 5 years, will analyze storm sewer capacity issues, identify problem areas, develop prioritize solutions, support for public outreach education. the first task was review propose revisions City's stormwater including benchmarking criteria from...

10.2166/wpt.2010.085 article EN Water Practice & Technology 2010-12-01

10.1130/abs/2017am-305398 article EN Abstracts with programs - Geological Society of America 2017-01-01

Groundwater flow model accuracy is often limited by the uncertainty in parameters that characterize aquifer properties and recharge. Aquifer such as hydraulic conductivity can have an spanning orders of magnitude. Meanwhile, used to configure boundary conditions introduce additional uncertainty. In this study, Morris Method sensitivity analysis performed on multiple quantities interest assess a steady-state groundwater uncertain input parameters. The determines which these are less...

10.48550/arxiv.2206.01990 preprint EN cc-by-nc-nd arXiv (Cornell University) 2022-01-01

Groundwater flow modeling is commonly used to calculate groundwater heads, estimate paths and travel times, provide insights into solute transport processes within an aquifer. However, the values of input parameters that drive models are often highly uncertain due subsurface heterogeneity geologic complexity in combination with lack measurements/unreliable measurements. This uncertainty affects accuracy reliability model outputs. Therefore, parameters' must be quantified before adopting as...

10.48550/arxiv.2210.17388 preprint EN other-oa arXiv (Cornell University) 2022-01-01
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