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Full-Text Articles in Engineering
Reconstructing 42 Years (1979–2020) Of Great Lakes Surface Temperature Through A Deep Learning Approach, Miraj Kayastha, Tao Liu, Daniel Titze, Timothy C. Havens, Chenfu Huang, Pengfei Xue
Reconstructing 42 Years (1979–2020) Of Great Lakes Surface Temperature Through A Deep Learning Approach, Miraj Kayastha, Tao Liu, Daniel Titze, Timothy C. Havens, Chenfu Huang, Pengfei Xue
Michigan Tech Publications, Part 2
Accurate estimates for the lake surface temperature (LST) of the Great Lakes are critical to understanding the regional climate. Dedicated lake models of various complexity have been used to simulate LST but they suffer from noticeable biases and can be computationally expensive. Additionally, the available historical LST datasets are limited by either short temporal coverage (<30 >years) or lower spatial resolution (0.25° × 0.25°). Therefore, in this study, we employed a deep learning model based on Long Short-Term Memory (LSTM) neural networks to produce a daily LST dataset for the Great Lakes that spans an unparalleled 42 years (1979–2020) at …
Coastal Environments: Mine Discharges And Infringements On Indigenous Peoples’ Rights, Charles Kerfoot, Gary Swain, Luis M. Verissimo, Erin Johnston, Carol Maclennan, Daniel Schneider, Noel Urban
Coastal Environments: Mine Discharges And Infringements On Indigenous Peoples’ Rights, Charles Kerfoot, Gary Swain, Luis M. Verissimo, Erin Johnston, Carol Maclennan, Daniel Schneider, Noel Urban
Michigan Tech Publications, Part 2
Over a century ago, copper mills on the Keweenaw Peninsula of Lake Superior sluiced 64 million metric tonnes (MMT) of tailings into coastal waters, creating a metal-rich “halo”. Here we show that relatively small discharges can spread widely in time and space. Mass Mill (2.9 MMT) dumping into Lake Superior also illustrates the complexity of interactions with Indigenous Peoples. A combination of aerial photos, LiDAR, and a microscope technique for distinguishing end-member particles traces the migration of tailings. The clay fraction spread rapidly across Keweenaw Bay and curled into terminal L’Anse Bay, within tribal Reservation boundaries. The coarse stamp sand …
Mechanical Properties And Morphological Alterations In Fiber-Based Scaffolds Affecting Tissue Engineering Outcomes, James Dolgin, Samerender Nagam Hanumantharao, Stephen Farias, Carl G. Simon, Smitha Rao
Mechanical Properties And Morphological Alterations In Fiber-Based Scaffolds Affecting Tissue Engineering Outcomes, James Dolgin, Samerender Nagam Hanumantharao, Stephen Farias, Carl G. Simon, Smitha Rao
Michigan Tech Publications
Electrospinning is a versatile tool used to produce highly customizable nonwoven nanofiber mats of various fiber diameters, pore sizes, and alignment. It is possible to create electrospun mats from synthetic polymers, biobased polymers, and combinations thereof. The post-processing of the end products can occur in many ways, such as cross-linking, enzyme linking, and thermal curing, to achieve enhanced chemical and physical properties. Such multi-factor tunability is very promising in applications such as tissue engineering, 3D organs/organoids, and cell differentiation. While the established methods involve the use of soluble small molecules, growth factors, stereolithography, and micro-patterning, electrospinning involves an inexpensive, labor …
Climate Projections Over The Great Lakes Region: Using Two-Way Coupling Of A Regional Climate Model With A 3-D Lake Model, Pengfei Xue, Xinyu Ye, Jeremy S. Pal, Philip Y. Chu, Miraj Kayastha, Chenfu Huang
Climate Projections Over The Great Lakes Region: Using Two-Way Coupling Of A Regional Climate Model With A 3-D Lake Model, Pengfei Xue, Xinyu Ye, Jeremy S. Pal, Philip Y. Chu, Miraj Kayastha, Chenfu Huang
Michigan Tech Publications
Warming trends in the Laurentian Great Lakes and surrounding areas have been observed in recent decades, and concerns continue to rise about the pace and pattern of future climate change over the world's largest freshwater system. To date, most regional climate models used for Great Lakes projections either neglected the lake-atmosphere interactions or are only coupled with a 1-D column lake model to represent the lake hydrodynamics. This study presents a Great Lakes climate change projection that has employed the two-way coupling of a regional climate model with a 3-D lake model (GLARM) to resolve 3-D hydrodynamics essential for large …
Climate Projections Over The Great Lakes Region: Using Two-Way Coupling Of A Regional Climate Model With A 3-D Lake Model, Pengfei Xue, Xinyu Ye, Jeremy S. Pal, Philip Y. Chu, Miraj Kayastha, Chenfu Huang
Climate Projections Over The Great Lakes Region: Using Two-Way Coupling Of A Regional Climate Model With A 3-D Lake Model, Pengfei Xue, Xinyu Ye, Jeremy S. Pal, Philip Y. Chu, Miraj Kayastha, Chenfu Huang
Michigan Tech Publications
Warming trends in the Laurentian Great Lakes and surrounding areas have been observed in recent decades, and concerns continue to rise about the pace and pattern of future climate change over the world's largest freshwater system. To date, most regional climate models used for Great Lakes projections either neglected the lake-atmosphere interactions or are only coupled with a 1-D column lake model to represent the lake hydrodynamics. This study presents a Great Lakes climate change projection that has employed the two-way coupling of a regional climate model with a 3-D lake model (GLARM) to resolve 3-D hydrodynamics essential for large …
Integrating Deep Learning And Hydrodynamic Modeling To Improve The Great Lakes Forecast, Pengfei Xue, Aditya Wagh, Gangfeng Ma, Yilin Wang, Yongchao Yang, Tao Liu, Chenfu Huang
Integrating Deep Learning And Hydrodynamic Modeling To Improve The Great Lakes Forecast, Pengfei Xue, Aditya Wagh, Gangfeng Ma, Yilin Wang, Yongchao Yang, Tao Liu, Chenfu Huang
Michigan Tech Publications
The Laurentian Great Lakes, one of the world’s largest surface freshwater systems, pose a modeling challenge in seasonal forecast and climate projection. While physics-based hydrodynamic modeling is a fundamental approach, improving the forecast accuracy remains critical. In recent years, machine learning (ML) has quickly emerged in geoscience applications, but its application to the Great Lakes hydrodynamic prediction is still in its early stages. This work is the first one to explore a deep learning approach to predicting spatiotemporal distributions of the lake surface temperature (LST) in the Great Lakes. Our study shows that the Long Short-Term Memory (LSTM) neural network, …
Copper-Rich “Halo” Off Lake Superior's Keweenaw Peninsula And How Mass Mill Tailings Dispersed Onto Tribal Lands, W. Charles Kerfoot, Noel Urban, Jaebong Jeong, Carol Maclennan, Sophia Ford
Copper-Rich “Halo” Off Lake Superior's Keweenaw Peninsula And How Mass Mill Tailings Dispersed Onto Tribal Lands, W. Charles Kerfoot, Noel Urban, Jaebong Jeong, Carol Maclennan, Sophia Ford
Michigan Tech Publications
Over a century ago, shoreline copper mills sluiced more than 64 million metric tonnes of tailings into Lake Superior, creating a “halo” around the Keweenaw Peninsula with a buried copper peak. Here we examine how tailings from one of the smaller mills (Mass Mill, 1902–1919) spread as a dual pulse across southern Keweenaw Bay and onto tribal L'Anse Indian Reservation lands. The fine (“slime clay”) fraction dispersed early and widely, whereas the coarse fraction (stamp sands) moved more slowly southward as a black sand beach deposit, leaving scattered residual patches. Beach stamp sands followed the path of sand eroding from …
Impact Of Water Mixing And Ice Formation On The Warming Of Lake Superior: A Model-Guided Mechanism Study, Xinyu Ye, Eric J. Anderson, Philip Y. Chu, Chenfu Huang, Pengfei Xue
Impact Of Water Mixing And Ice Formation On The Warming Of Lake Superior: A Model-Guided Mechanism Study, Xinyu Ye, Eric J. Anderson, Philip Y. Chu, Chenfu Huang, Pengfei Xue
Michigan Tech Publications
The Laurentian Great Lakes are one of the most prominent hotspots for the study of climate change induced lake warming. Warming trends in large, deep lakes, which are often inferred by the observations of lake surface temperature (LST) in most studies, are strongly linked to the total lake heat content. In this study, we use a 3D hydrodynamic model to examine the nonlinear processes of water mixing and ice formation that cause changes in lake heat content and further variation of LST. With a focus on mechanism study, a series of process-oriented experiments is carried out to understand the interactions …