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Conference Papers

Browse almost 5,000 conference papers authored by our scientists and refine search by topic, location, year, and advanced search.

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Model structural uncertainty quantification and hydrogeophysical data integration using airborne electromagnetic data Model structural uncertainty quantification and hydrogeophysical data integration using airborne electromagnetic data

Airborne electromagnetic (AEM) dataare usedto estimate large-scale model structural geometry, i.e. the spatial distribution of different lithological units based on assumed or estimated resistivity-lithology relationships, and the uncertainty in those structures given imperfect measurements. Geophysically derived estimates of model structural uncertainty are then combined with hydrologic
Authors
Burke J. Minsley, Nikolaj K Christensen, Steen Christensen, Yusen Ley-Cooper

Partial differential equation driven dynamic graph networks for predicting stream water temperature Partial differential equation driven dynamic graph networks for predicting stream water temperature

This paper presents a physics-guided machine learning approach that incorporates partial differential equations (PDEs) in a graph neural network model to improve the prediction of water temperature in river networks. The standard graph neural network model often uses pre-defined edge weights based on distance or similarity measures. Such static graph structure can be limited in capturing...
Authors
Tianshu Bao, Xiaowei Jia, Jacob Aaron Zwart, Jeffrey Michael Sadler, Alison P. Appling, Samantha K. Oliver, Taylor T. Johnson

Process-based models and studies of coastal change to inform habitat restoration and climate change adaptation Process-based models and studies of coastal change to inform habitat restoration and climate change adaptation

Puget Sound salmon and estuary recovery strategies identify tens of thousands of acres of floodplain and estuary habitat restoration needed to re-establish ecosystem functions lost or degraded from western land use (Simenstad et al., 2011); the extent for nearshore habitat remains uncertain. Sediment is critical for shaping the structure and functions of these ecosystems and the success...
Authors
Eric E. Grossman

Two-event genesis of Butte lode veins: Geologic and geochronologic evidence from ore veins, dikes, and host plutons Two-event genesis of Butte lode veins: Geologic and geochronologic evidence from ore veins, dikes, and host plutons

The long-standing ore-genesis model for world-class deposits of the Butte mining district, Montana, is of deep pre-Main Stage porphyry Cu-Mo and overlying Main Stage Ag-Zn-Cu-zoned lode veinsformed from discrete hydrothermal systems related to rhyolite dikes. The lode-specific model describes metals zones that formed in the lode veins as hydrothermal processes diminished in intensity...
Authors
Karen Lund, Ryan J. McAleer, John N. Aleinikoff, Michael Cosca

Response of the tallest California building during the Mw7.1 July 5, 2019 Ridgecrest, California earthquake Response of the tallest California building during the Mw7.1 July 5, 2019 Ridgecrest, California earthquake

The 73-story Wilshire Grand in downtown Los Angeles is the recently constructed tallest building in California. It is designed in conformance with performance-based design procedures. The lateral load resisting system of the building is designed with concrete core shear walls, three outriggers with buckling restrained braces (BRBs) located along the height and two three-story truss-belt...
Authors
Mehmet Celebi, S. F. Ghahari, Hamid Haddadi, Ertugrul Taciroglu

An analysis of Twitter responses to the 2019 Ridgecrest Earthquake sequence An analysis of Twitter responses to the 2019 Ridgecrest Earthquake sequence

Previous research has shown that online social networks can provide valuable insights regarding collective human responses to extreme natural events, such as earthquakes. Most previous studies focused on one large earthquake, while the 2019 Ridgecrest earthquakes involved two significant earthquakes occurring within a short period of time (a M6.4 foreshock on July 4 and a M7.1 mainshock...
Authors
Tao Ruan, Qingkai Kong, Yawen Zhang, Sara K. McBride, Qin Lv

Biology characterization breakout report Biology characterization breakout report

The primary goal of the biology characterization breakout group was to identify the strategies, tools, data priorities, and key partnerships needed to conduct baseline biological characterizations of deep-sea benthic environments across the U.S. EEZ in the Pacific. Discussions focused primarily on priorities for the characterization of deep-water (>200-meter depths) benthic biological...
Authors
Amanda Demopoulos, Daniel Wagner, Amy Baco-Taylor, David Itano, Diva Amon, Erik E. Cordes, Lisa Levin, Peter H. Edwards, Randall Kosaki, Shirley Pomponi, Steve Gittings

Evaluating and optimizing the use of logistic regression for tree mortality models in the First Order Fire Effects Model (FOFEM) Evaluating and optimizing the use of logistic regression for tree mortality models in the First Order Fire Effects Model (FOFEM)

Wildland fires burn millions of forested hectares annually around the world, affecting biodiversity, carbon storage, hydrologic processes, and ecosystem services largely through fire-induced tree mortality (Bond-Lamberty et al. 2007; Dantas et al. 2016). In spite of this widespread importance, the underlying mechanisms of fire-caused tree mortality remain poorly understood, (Hood et al...
Authors
C. Alina Cansler, Sharon Hood, J. Morgan Varner, Phillip J. van Mantgem

Extension directions in the Colorado River extensional corridor compared to fragmentation of a structurally disrupted caldera in the Sacramento Mountains, southeastern California Extension directions in the Colorado River extensional corridor compared to fragmentation of a structurally disrupted caldera in the Sacramento Mountains, southeastern California

The northwest trend of the southern Colorado River extensional corridor in the southwestern USA veers northward between 34° and 35° north latitude. The tilt axes of early Miocene west-tilted volcanic strata in the west-central Sacramento Mountains mirror this bend. Steeply dipping early Miocene strata and volcanics north and south of the bend indicate the strong respectively westward to
Authors
Keith A. Howard, Charles A. Ferguson

He-CO2-N2 isotope and relative abundance characterization of geothermal fluids from the Ethiopian Rift He-CO2-N2 isotope and relative abundance characterization of geothermal fluids from the Ethiopian Rift

We report He-CO2-N2 isotopic and relative abundances in free gases and dissolved gas phase of geothermal fluids from the Ethiopian Rift. Fluid samples were collected from ~30 geothermal localities from three key regions throughout rifted and non-rifted areas of Ethiopia. The majority of samples, including off-rift samples, indicate a strong contribution of mantle-derived He-C-N to the...
Authors
S. A. Halldorsson, P. Scarsi, T. Abebe, T. Evans, Justin T. Kulongoski, P. R. Castillo, P. H. Barry

Improving the positional and vertical accuracy of named summits above 13,000 ft in the United States Improving the positional and vertical accuracy of named summits above 13,000 ft in the United States

The National Map (TNM) portal provides public access to U.S. Geological Survey (USGS) high-resolution topographic datasets, and maps from the Historical Topographic Map Collection (HTMC). Elevation values shown on HTMC maps were obtained from ground spot elevation measurements, as compared to today’s elevation measurements derived from more efficient methods, such as lidar, radar, or...
Authors
Samantha T. Arundel, Gaurav Sinha, Arthur Chan

Machine learning for natural resource assessment: An application to the blind geothermal systems of Nevada Machine learning for natural resource assessment: An application to the blind geothermal systems of Nevada

A study is underway to apply machine learning methods to evaluate natural resource potential. In particular, we are considering the search for blind geothermal systems in Nevada. Beginning with the data and experience from the previous Nevada play fairway analysis project, we are building models in TensorFlow/Keras and gaining experience toward predicting the geothermal resource...
Authors
Stephen C. Brown, Mark F. Coolbaugh, Jacob DeAngelo, James E. Faulds, Michael Fehler, Chen Gu, John H. Queen, Sven Treitel, Connor M. Smith, Eli Mlawsky
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