Calvin Whealton

ORCID: 0000-0001-9900-0542
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About
Contact & Profiles
Research Areas
  • Flood Risk Assessment and Management
  • Reservoir Engineering and Simulation Methods
  • Hydrology and Drought Analysis
  • Hydrology and Watershed Management Studies
  • Hydrocarbon exploration and reservoir analysis
  • CO2 Sequestration and Geologic Interactions
  • Hydraulic Fracturing and Reservoir Analysis
  • Geochemistry and Geologic Mapping
  • Astronomy and Astrophysical Research
  • Public Administration and Political Analysis
  • Rural development and sustainability
  • Medical Practices and Rehabilitation
  • Hydrology and Sediment Transport Processes
  • Geothermal Energy Systems and Applications
  • Forest Management and Policy
  • Oil and Gas Production Techniques
  • Environmental and Social Impact Assessments
  • Multi-Criteria Decision Making
  • Sports Science and Education
  • Probabilistic and Robust Engineering Design
  • Agricultural risk and resilience
  • Atmospheric and Environmental Gas Dynamics
  • Climate variability and models
  • Particle accelerators and beam dynamics
  • Dam Engineering and Safety

Booz Allen Hamilton (United States)
2022-2023

Paul Scherrer Institute
2020-2023

Cornell University
2015-2020

Hollister (United States)
2015-2017

Abstract Flood frequency analysis generally involves the use of simple parametric probability distributions to smooth and extrapolate information provided by short flood records estimate extreme flow quantiles. Parametric can have difficulty simultaneously fitting both largest smallest floods. A danger is that observations in a record distort exceedance probabilities assigned large floods interest. The identification treatment such Potentially Influential Low Floods (PILFs) frees algorithm...

10.1002/2015wr018093 article EN Water Resources Research 2016-03-19

Uncertainties in instantaneous dam-break floods are difficult to assess with standard methods (e.g., Monte Carlo simulation) because of the lack historical observations and high computational costs numerical models. In this study, polynomial chaos expansion (PCE) was applied a flood model reflecting population large concrete dams Switzerland. The approximated metamodel uncertainty inputs propagated flow quantities downstream dam. study demonstrates that application metamodeling for...

10.3390/en13143685 article EN cc-by Energies 2020-07-17

Abstract. Estimates for rare to very floods are limited by the relatively short streamflow records available. Often, pragmatic conversion factors used quantify such events based on extrapolated observations, or simplifying assumptions made about extreme precipitation and resulting flood peaks. Continuous simulation (CS) is an alternative approach that better links estimation with physical processes avoids antecedent conditions. However, long-term CS has hardly been implemented estimate (i.e....

10.5194/nhess-22-2891-2022 article EN cc-by Natural hazards and earth system sciences 2022-09-02

Analysis of geothermal energy resources in the Appalachian Basin eastern United States is interest, given region's population- and climate-driven demand for thermal energy. This study provides a fuller picture across New York Pennsylvania than previous studies by providing rigorous statistical analysis temperature-depth data using records from nearly 8000 locations. The compilation thousands enables significant increase spatial resolution resource assessment maps this region. In addition,...

10.1130/ges00499.1 article EN Geosphere 2015-09-15

The focus of this work is general methods for prioritization or screening project sites based on the favorability multiple spatial criteria. We present a threshold-based transformation each underlying factor into continuous scale with common interpretation across all compare several computing site and propagating uncertainty from data to metrics. Including allows decision makers determine if seeming differences among are significant. address using Taylor series approximations analytical...

10.1080/13658816.2020.1765247 article EN International Journal of Geographical Information Science 2020-06-16

Rare to very rare floods (associated return periods of 1'000–100'000 years) can cause extensive human and economic damage. Still, their estimation is limited by the comparatively short streamflow records available. Some limitations commonly used methods be avoided using continuous simulation (CS), which considers many simulated meteorological configurations a conceptual representation hydrological processes. CS also avoids assumptions about antecedent conditions spatial patterns.We...

10.5194/egusphere-egu23-1384 preprint EN 2023-02-22

Abstract. Estimates for rare to very floods are limited by the relatively short streamflow records available. Often, pragmatic conversion factors used quantify such events based on extrapolated observations, or simplifying assumptions made about extreme precipitation and resulting flood peaks. Continuous simulation (CS) is an alternative approach that better links estimation with physical processes avoids antecedent conditions. However, long-term CS has hardly been implemented estimate...

10.5194/nhess-2022-99 preprint EN cc-by 2022-03-22
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