Item talk:Q44571
From geokb
ORCID:
'@context': http://schema.org '@id': https://orcid.org/0000-0001-5626-023X '@reverse': creator: - '@id': https://doi.org/10.3133/fs20233003 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/fs20233003 name: Tracking status and trends in seven key indicators of stream health in the Chesapeake Bay watershed - '@id': https://doi.org/10.3133/sir20225059 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/sir20225059 name: "Virginia Bridge Scour Pilot Study\u2014Hydrological Tools" - '@id': https://doi.org/10.3133/sir20215084 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/sir20215084 name: Forecasting drought probabilities for streams in the northeastern United States - '@id': https://doi.org/10.3133/fs20193015 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/fs20193015 name: Drought forecasting for streams and groundwaters in northeastern United States - '@id': https://doi.org/10.3133/ofr20171140 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/ofr20171140 name: Characteristics of peak streamflows and extent of inundation in areas of West Virginia and southwestern Virginia affected by flooding, June 2016 - '@id': https://doi.org/10.3133/fs20183006 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/fs20183006 name: 'U.S. Geological Survey - Virginia Department of Transportation: Bridge scour pilot study' - '@id': https://doi.org/10.3133/sir20175099 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/sir20175099 name: Variability of hydrological droughts in the conterminous United States, 1951 through 2014 - '@id': https://doi.org/10.1111/1752-1688.12562 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.1111/1752-1688.12562 name: Modeling Summer Month Hydrological Drought Probabilities in the United States Using Antecedent Flow Conditions - '@id': https://doi.org/10.1002/joc.4756 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.1002/joc.4756 name: Variability of runoff-based drought conditions in the conterminous United States - '@id': https://doi.org/10.3133/sir20145090 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/sir20145090 name: "Methods and equations for estimating peak streamflow per square mile\ \ in Virginia\u2019s urban basins" - '@id': https://doi.org/10.3133/sir20145145 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/sir20145145 name: Methods for estimating drought streamflow probabilities for Virginia streams - '@type': CreativeWork identifier: '@type': PropertyValue propertyID: other-id value: usgs peak flow name: Peak-flow characteristics of Virginia streams - '@type': CreativeWork identifier: '@type': PropertyValue propertyID: other-id value: usgs low flow name: Low-flow characteristics of Virginia streams - '@id': https://doi.org/10.3133/sir20115143 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/sir20115143 name: Low-flow characteristics of Virginia streams - '@id': https://doi.org/10.3133/sir20115144 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/sir20115144 name: Peak-flow characteristics of Virginia streams - '@type': CreativeWork identifier: '@type': PropertyValue propertyID: other-id value: usgs stages and discharges name: Annual Maximum Stages and Discharges of Selected Streams in Virginia through 2007 - '@id': https://doi.org/10.3133/ofr20091007 '@type': CreativeWork identifier: '@type': PropertyValue propertyID: doi value: 10.3133/ofr20091007 name: Annual Maximum Stages and Discharges of Selected Streams in Virginia through 2007 - '@type': CreativeWork name: Using System Dynamics Modeling to Understand the Hydraulic Geometry of Forest Streams - '@type': CreativeWork name: Exploring Energy Slope, Particle Shear Stress, and Stream Flow Using System Dynamics Modeling - '@type': CreativeWork name: System Dynamics Modeling As An Aid To Water Supply Planning - '@type': CreativeWork identifier: '@type': PropertyValue propertyID: other-id value: 'journal of forestry special issue: defining forestry' name: 'Rethinking Relationships: Exploring Sustainable Forest Water Quality Alternatives' '@type': Person address: '@type': PostalAddress 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:
'@context': https://schema.org '@type': Person affiliation: [] description: - '@type': TextObject 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: - '@type': EducationalOccupationalCredential 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' identifier: - '@type': PropertyValue propertyID: GeoKB value: https://geokb.wikibase.cloud/entity/Q44571 - '@type': PropertyValue propertyID: ORCID value: 0000-0001-5626-023X jobTitle: Hydrologist knowsAbout: - '@type': Thing additionalType: self-claimed expertise name: hydrology - '@type': Thing additionalType: self-claimed expertise name: forest ecosystems - '@type': Thing additionalType: self-claimed expertise name: system dynamics modeling - '@type': Thing additionalType: self-claimed expertise name: analytical statistical methods - '@type': Thing additionalType: self-claimed expertise name: streamflow - '@type': Thing additionalType: self-claimed expertise name: fluvial geomorphology - '@type': Thing additionalType: self-claimed expertise name: ecological processes - '@type': Thing additionalType: self-claimed expertise name: ecosystem functions - '@type': Thing additionalType: self-claimed expertise name: biodiversity - '@type': Thing additionalType: self-claimed expertise name: environmental assessment - '@type': Thing additionalType: self-claimed expertise name: surface water (non-marine) - '@type': Thing additionalType: self-claimed expertise name: freshwater ecosystems - '@type': Thing additionalType: self-claimed expertise name: sedimentation - '@type': Thing additionalType: self-claimed expertise name: sediment transport - '@type': Thing additionalType: self-claimed expertise name: deforestation - '@type': Thing additionalType: self-claimed expertise name: human impacts - '@type': Thing additionalType: self-claimed expertise name: land use change memberOf: '@type': OrganizationalRole member: '@type': Organization 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
