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Full-Text Articles in Physical Sciences and Mathematics

Spatial Variation Of Subduction Zone Fluids During Progressive Subduction: Insights From Serpentinite Mud Volcanoes, Catriona D. Menzies, Roy E. Price, Jeffrey Ryan, Olivier Sissmann, Ken Takai, C. Geoffrey Wheat Jan 2022

Spatial Variation Of Subduction Zone Fluids During Progressive Subduction: Insights From Serpentinite Mud Volcanoes, Catriona D. Menzies, Roy E. Price, Jeffrey Ryan, Olivier Sissmann, Ken Takai, C. Geoffrey Wheat

School of Geosciences Faculty and Staff Publications

Geological processes at subduction zones control seismicity, plutonism and volcanism, and geochemical cycling between the oceans, crust, and mantle. The down-going plate experiences metamorphism, and the associated dehydration and fluid flow alters the physical properties of the plate interface and mantle wedge, as well as controlling the composition of material descending into the mantle. Any direct study of slab evolution during subduction is inhibited by the prohibitive depths at which these processes occur. To examine these processes we use serpentinite mud volcanoes in the Mariana forearc, that permit sampling of serpentinite materials and their pore waters that …


The Legacy Of Hurricanes, Historic Land Cover, And Municipal Ordinances On Urban Tree Canopy In Florida (United States), Allyson B. Salisbury, Andrew K. Koeser, Richard J. Hauer, Deborah R. Hilbert, Amr H. Abd-Elrahman, Michael G. Andreu, Katie Britt, Shawn Landry, Mary G. Lusk, Jason W. Miesbauer, Hunter Thorn Jan 2022

The Legacy Of Hurricanes, Historic Land Cover, And Municipal Ordinances On Urban Tree Canopy In Florida (United States), Allyson B. Salisbury, Andrew K. Koeser, Richard J. Hauer, Deborah R. Hilbert, Amr H. Abd-Elrahman, Michael G. Andreu, Katie Britt, Shawn Landry, Mary G. Lusk, Jason W. Miesbauer, Hunter Thorn

School of Geosciences Faculty and Staff Publications

Urban Tree Canopy (UTC) greatly enhances the livability of cities by reducing urban heat buildup, mitigating stormwater runoff, and filtering airborne particulates, among other ecological services. These benefits, combined with the relative ease of measuring tree cover from aerial imagery, have led many cities to adopt management strategies based on UTC goals. In this study, we conducted canopy analyses for 300 cities in Florida to assess the impacts of development practices, urban forest ordinances, and hurricanes on tree cover. Within the cities sampled, UTC ranged from 5.9 to 68.7% with a median canopy coverage of 32.3% Our results indicate that …


Impact Of Model Choice In Predicting Urban Forest Storm Damage When Data Is Uncertain, Casey Lambert, Shawn Landry, Michael G. Andreu, Andrew Koeser, Gregory Starr, Christina Staudhammer Jan 2022

Impact Of Model Choice In Predicting Urban Forest Storm Damage When Data Is Uncertain, Casey Lambert, Shawn Landry, Michael G. Andreu, Andrew Koeser, Gregory Starr, Christina Staudhammer

School of Geosciences Faculty and Staff Publications

Research that illuminates causes of urban forest storm damage is valuable for planning and management. However, logistical and safety concerns often delay post-storm surveys in urban areas; thus, surveys may include observations with unverified sources of damage. While this uncertainty is often ignored, it can make up a high proportion of the number of damaged trees. The goal of this research was to improve understanding of techniques for modeling storm damage in urban forests. Using urban forest storm damage inventories collected in Florida, post-Hurricane Irma (2017), we tested how different imputation methods, modeling procedures, and damage frequency levels could impact …


Using Remote Sensing And Machine Learning To Locate Groundwater Discharge To Salmon-Bearing Streams, Mary E. Gerlach, Kai C. Rains, Edgar J. Guerrón-Orejuela, William J. Kleindl, Joni Downs, Shawn M. Landry, Mark C. Rains Jan 2022

Using Remote Sensing And Machine Learning To Locate Groundwater Discharge To Salmon-Bearing Streams, Mary E. Gerlach, Kai C. Rains, Edgar J. Guerrón-Orejuela, William J. Kleindl, Joni Downs, Shawn M. Landry, Mark C. Rains

School of Geosciences Faculty and Staff Publications

We hypothesized topographic features alone could be used to locate groundwater discharge, but only where diagnostic topographic signatures could first be identified through the use of limited field observations and geologic data. We built a geodatabase from geologic and topographic data, with the geologic data only covering ~40% of the study area and topographic data derived from airborne LiDAR covering the entire study area. We identified two types of groundwater discharge: shallow hillslope groundwater discharge, commonly manifested as diffuse seeps, and aquifer-outcrop groundwater discharge, commonly manifested as springs. We developed multistep manual procedures that allowed us to accurately predict the …


Boron Isotopes In Boninites Document Rapid Changes In Slab Inputs During Subduction Initiation, Hong-Yan Li, Xiang Li, Jeffrey G. Ryan, Chao Zhang, Yi-Gang Xu Jan 2022

Boron Isotopes In Boninites Document Rapid Changes In Slab Inputs During Subduction Initiation, Hong-Yan Li, Xiang Li, Jeffrey G. Ryan, Chao Zhang, Yi-Gang Xu

School of Geosciences Faculty and Staff Publications

How subduction-related magmatism starts at convergent plate margins is still poorly understood. Here we show that boron isotope variations in early-formed boninites from the Izu-Bonin arc, combined with radiogenic isotopes and elemental ratios document rapid (~0.5 to 1 Myr) changes in the sources and makeup of slab inputs as subduction begins. Heterogeneous hornblende-granulite facies melts from ocean crust gabbros ± basalts fluxed early melting to generate low silica boninites. Hydrous fluids from slab sediments and basalts later fluxed the low silica boninites mantle source to produce high silica boninites. Our results suggest that initially the uppermost parts of the slab …


Under The Surface: Pressure-Induced Planetary-Scale Waves, Volcanic Lightning, And Gaseous Clouds Caused By The Submarine Eruption Of Hunga Tonga-Hunga Ha’Apai Volcano Provide An Excellent Research Opportunity, David A. Yuen, Melissa A. Scruggs, Frank J. Spera, Yingcai Zheng, Hao Hu, Stephen R. Mcnutt, Glenn Thompson, Kyle Mandli, Barry R. Keller, Songqiao Shawn Wei, Zhigang Peng, Zili Zhou, Francesco Mulargia, Yuichiro Tanioka Jan 2022

Under The Surface: Pressure-Induced Planetary-Scale Waves, Volcanic Lightning, And Gaseous Clouds Caused By The Submarine Eruption Of Hunga Tonga-Hunga Ha’Apai Volcano Provide An Excellent Research Opportunity, David A. Yuen, Melissa A. Scruggs, Frank J. Spera, Yingcai Zheng, Hao Hu, Stephen R. Mcnutt, Glenn Thompson, Kyle Mandli, Barry R. Keller, Songqiao Shawn Wei, Zhigang Peng, Zili Zhou, Francesco Mulargia, Yuichiro Tanioka

School of Geosciences Faculty and Staff Publications

We present a narrative of the eruptive events culminating in the cataclysmic 15 January 2022 eruption of Hunga Tonga-Hunga Ha’apai Volcano by synthesizing diverse preliminary seismic, volcanological, sound wave, and lightning data available within the first few weeks after the eruption occurred. The first hour of eruptive activity produced fast-propagating tsunami waves, long-period seismic waves, loud audible sound waves, infrasonic waves, exceptionally intense volcanic lightning and an unsteady volcanic plume that transiently reached—at 58 km—the Earth’s mesosphere. Energetic seismic signals were recorded worldwide and the globally stacked seismogram showed episodic seismic events within the most intense periods of phreatoplinian activity, …


Uncertainty Quantification Of Eruption Source Parameters Estimated From Tephra Fall Deposits, R. Constantinescu, J. T. White, C. B. Connor, A. Hopulele-Gligor, S. Charbonnier, J.-C. Thouret, J. M. Lindsay, D. Bertin Jan 2022

Uncertainty Quantification Of Eruption Source Parameters Estimated From Tephra Fall Deposits, R. Constantinescu, J. T. White, C. B. Connor, A. Hopulele-Gligor, S. Charbonnier, J.-C. Thouret, J. M. Lindsay, D. Bertin

School of Geosciences Faculty and Staff Publications

Uncertainty quantification (UQ) in eruption source parameters, like tephra volume, plume height, and umbrella cloud radius, is a challenge for volcano scientists because tephra deposits are often sparsely sampled due to burial, erosion, and related factors. We find that UQ is improved by coupling an advection-diffusion model with two Bayesian inversion approaches: (a) a robust but computationally expensive Generalized Likelihood Uncertainty Estimation algorithm, and (b) a more approximate but inexpensive parameter estimation algorithm combined with first-order, second-moment uncertainty estimation. We apply the two inversion methods to one sparsely sampled tephra fall unit from the 2070 BP El Misti (Peru) eruption …