Item talk:Q54847: Difference between revisions
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usgs_staff_profile: | usgs_staff_profile: | ||
meta: | meta: | ||
url: https://www.usgs.gov/staff-profiles/stephen-j-cauller | |||
timestamp: '2024-01-31T04:14:42.983533' | |||
status_code: 200 | status_code: 200 | ||
profile: | profile: | ||
name: Stephen J Cauller | |||
name_qualifier: null | |||
titles: | |||
- | - Hydrologist / GIS Specialist | ||
organizations: | |||
- !!python/tuple | |||
- New Jersey Water Science Center | |||
- https://www.usgs.gov/centers/new-jersey-water-science-center | |||
email: sjcaulle@usgs.gov | email: sjcaulle@usgs.gov | ||
orcid: 0000-0002-1823-8813 | |||
intro_statements: | intro_statements: | ||
- His current investigation involves measurement and mapping of the potentiometric | - His current investigation involves measurement and mapping of the potentiometric | ||
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in the NJ Water Science Center where he assists coworkers with the use of geographical | in the NJ Water Science Center where he assists coworkers with the use of geographical | ||
information systems software. | information systems software. | ||
expertise_terms: [] | |||
professional_experience: | |||
- worked for a geotechnical consulting firm where he conducted seismic surveys | |||
of the subsurface for a major highway excavation project. | |||
education: | |||
- B.S. in Earth Science from West Chester University | |||
- M.S. in Geology from Lehigh University | |||
affiliations: [] | |||
honors: [] | |||
abstracts: [] | |||
personal_statement: Employment as a hydrologist with the USGS has afforded him | personal_statement: Employment as a hydrologist with the USGS has afforded him | ||
the opportunity to work on a variety of hydrologic studies, including a Toxic | the opportunity to work on a variety of hydrologic studies, including a Toxic | ||
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network derivation studies employing various methodologies including StreamStats, | network derivation studies employing various methodologies including StreamStats, | ||
ArcHydro Tools and a tophat method using lidar-derived DEMS. | ArcHydro Tools and a tophat method using lidar-derived DEMS. | ||
Revision as of 11:14, 31 January 2024
orcid:
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usgs_staff_profile:
meta: url: https://www.usgs.gov/staff-profiles/stephen-j-cauller timestamp: '2024-01-31T04:14:42.983533' status_code: 200 profile: name: Stephen J Cauller name_qualifier: null titles: - Hydrologist / GIS Specialist organizations: - !!python/tuple - New Jersey Water Science Center - https://www.usgs.gov/centers/new-jersey-water-science-center email: sjcaulle@usgs.gov orcid: 0000-0002-1823-8813 intro_statements: - His current investigation involves measurement and mapping of the potentiometric surface in 10 confined aquifers of the NJ Coastal Plain, with results being tailored for delivery via a web-map interface. Stephen is also the GIS Specialist in the NJ Water Science Center where he assists coworkers with the use of geographical information systems software. expertise_terms: [] professional_experience: - worked for a geotechnical consulting firm where he conducted seismic surveys of the subsurface for a major highway excavation project. education: - B.S. in Earth Science from West Chester University - M.S. in Geology from Lehigh University affiliations: [] honors: [] abstracts: [] personal_statement: Employment as a hydrologist with the USGS has afforded him the opportunity to work on a variety of hydrologic studies, including a Toxic Substances investigation on Long Island, NY that related shallow groundwater quality to land use. He spent several years working on the database design and application development team of the Nation Water Information System (NWIS). Over the past 20 years, he has directed numerous groundwater studies in the coastal plain of New Jersey. His work has involved groundwater levels and mapping, chloride concentrations in groundwater, hydrogeologic framework analysis, water quality summaries, multiple aquifer 3D groundwater flow model development and particle tracking, and the advective transport of nitrogen in groundwater. Recent work includes flood innundation studies in West Virginia and Maine and stream network derivation studies employing various methodologies including StreamStats, ArcHydro Tools and a tophat method using lidar-derived DEMS.
