Item talk:Q44571

ORCID:

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     name: Characteristics of peak streamflows and extent of inundation in areas
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     name: Variability of hydrological droughts in the conterminous United States,
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     name: Methods for estimating drought streamflow probabilities for Virginia streams
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       Forest Streams
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       value: 'journal of forestry special issue: defining forestry'
     name: 'Rethinking Relationships: Exploring Sustainable Forest Water Quality
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 address:
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   addressCountry: US
 familyName: Austin
 givenName: Samuel
 mainEntityOfPage: https://orcid.org/0000-0001-5626-023X
 name: Samuel H. Austin
 url:
 - https://exchange.iseesystems.com/public/samuel-austin/urban_stream_rainfall/index.html#page1
 - https://exchange.iseesystems.com/public/samuel-austin/sediment-motion-in-streams-and-rivers/index.html#page1
 - https://exchange.iseesystems.com/public/samuel-austin/estimating-fluid-flow-using-darcys-law/index.html#page1
 - https://www.usgs.gov/staff-profiles/samuel-h-austin?qt-staff_profile_science_products=3#qt-staff_profile_science_products

USGS Staff Profile:

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 '@type': Person
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 description:
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   abstract: Hydrologist with the Virginia and West Virginia Water Science Center
   additionalType: short description
 - '@type': TextObject
   abstract: Hydrologist, USGS Virginia and West Virginia Water Science Center.
   additionalType: staff profile page introductory statement
 - '@type': TextObject
   abstract: 'Areas of interest: Surface water hydrology, fluvial geomorphology,
     environmental and economic analytics, forest management, forecasting, scenario
     analysis. Evaluating management decisions, trends, time-series, economic and
     financial questions, supply-chain dynamics, logistics, impulse-response problems.Special
     skills: System dynamics modeling, developing project specific analytical tools,
     custom design of sampling experiments, characterizing statistical variation
     and relations, determining probable outcomes, testing data for trends, evaluating
     large and small datasets, reconditioning data.Methods applied: Discrete and
     dynamic modeling and simulation. Evaluation of processes, decision interactions,
     and outcomes that include identifying system structure and simulating endogenous
     feedback. Interpreting, and characterizing large datasets using innovative statistical
     methods.Fields of endeavor: Forest land-use and carbon metrics, surface water
     flows, hydrology, fluvial geomorphology, processes that include humans and ecosystems.Areas
     of special knowledge: forest hydrology, fluvial geomorphology, watershed analysis,
     forest ecosystem dynamics, open channel flow, suspended and bed sediments, particle
     shear stress, critical shear velocities, stream classification and evaluation,
     production-distribution and control systems, management decision-making, biogeochemical
     cycling and feedback in natural systems.See ORC-ID page for examples illustrating
     the educational potential of interactive simulation tools.Darcys LawUrban
     RunoffSediment Motion'
   additionalType: personal statement
 email: saustin@usgs.gov
 hasCredential:
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   name: Duke University School of the Environment, MF, Forestry
 - '@type': EducationalOccupationalCredential
   name: Warren Wilson College, BA, Environmental Science
 hasOccupation:
 - '@type': OrganizationalRole
   affiliatedOrganization:
     '@type': Organization
     name: Virginia and West Virginia Water Science Center
     url: https://www.usgs.gov/centers/virginia-and-west-virginia-water-science-center
   roleName: Hydrologist
   startDate: '2024-05-12T16:02:16.077243'
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 jobTitle: Hydrologist
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   name: hydrology
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   additionalType: self-claimed expertise
   name: forest ecosystems
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   additionalType: self-claimed expertise
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   additionalType: self-claimed expertise
   name: streamflow
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   name: fluvial geomorphology
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   additionalType: self-claimed expertise
   name: ecological processes
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   name: ecosystem functions
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   additionalType: self-claimed expertise
   name: biodiversity
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   additionalType: self-claimed expertise
   name: environmental assessment
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   additionalType: self-claimed expertise
   name: surface water (non-marine)
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   additionalType: self-claimed expertise
   name: freshwater ecosystems
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   additionalType: self-claimed expertise
   name: sedimentation
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   additionalType: self-claimed expertise
   name: sediment transport
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   additionalType: self-claimed expertise
   name: deforestation
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   additionalType: self-claimed expertise
   name: human impacts
 - '@type': Thing
   additionalType: self-claimed expertise
   name: land use change
 memberOf:
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   member:
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     name: U.S. Geological Survey
   name: staff member
   startDate: '2024-05-12T16:02:16.074482'
 name: Samuel H. Austin
 url: https://www.usgs.gov/staff-profiles/samuel-h-austin