Geological Engineering Commons^™

Continental Magmatism And Uplift As The Primary Driver For First-Order Oceanic 87sr/86sr Variability With Implications For Global Climate And Atmospheric Oxygenation, Timothy Paulsen, Chad Deering, Jakub Sliwinski, Snehamoy Chatterjee, Olivier Bachman

Michigan Tech Publications

Oceans cover 70% of Earth's surface, setting it apart from the other terrestrial planets in the solar system, but the mechanisms driving oceanic chemical evolution through time remain an important unresolved problem. Imbalance in the strontium cycle, introduced, for example, by increases in continental weathering associated with mountain building, has been inferred from shifts in marine carbonate 87Sr/86Sr ratios. There are, however, uncertainties about the spatial and temporal patterns of crustal evolution in Earth's past, particularly for the period leading up to the Cambrian explosion of life. Here we show that U-Pb age and trace element data from a global …

A Comparison Of Multiple Machine Learning Algorithms To Predict Whole-Body Vibration Exposure Of Dumper Operators In Iron Ore Mines In India, Rahul Upadhyay, Amrites Senapati, Ashis Bhattacherjee, Aditya Kumar Patra, Snehamoy Chatterjee

Michigan Tech Publications

Background: This study deals with some factors that influence the exposure of whole-body vibration (WBV) of dumper operators in surface mines. The study also highlights the approach to improve the multivariate linear analysis outcomes when collinearity exists between certain factor pairs.

Material and Methods: A total number of 130 vibration readings was taken from two adjacent surface iron ore mines. The frequency-weighted RMS acceleration was used for the WBV exposure assessment of the dumper operators. The factors considered in this study are age, weight, seat backrest height, awkward posture, the machine age, load tonnage, dumper speed and haul …

Earth Imaging From The Surface Of The Moon With A Dscovr/Epic-Type Camera, Nick Gorkavyi, Simon Carn, Matt Deland, Yuri Knyazikhin, Nick Krotkov, Alexander Marshak, Et Al.

Michigan Tech Publications, Part 2

The Earth Polychromatic Imaging Camera (EPIC) on the Deep Space Climate Observatory (DSCOVR) satellite observes the entire Sun-illuminated Earth from sunrise to sunset from the L1 Sun-Earth Lagrange point. The L1 location, however, confines the observed phase angles to ∼2°–12°, a nearly backscattering direction, precluding any information on the bidirectional surface reflectance factor (BRF) or cloud/aerosol phase function. Deploying an analog of EPIC on the Moon’s surface would offer a unique opportunity to image the full range of Earth phases, including observing ocean/cloud glint reflection for different phase angles; monitoring of transient volcanic clouds; detection of circum-polar mesospheric and stratospheric …

Remote Sensing-Based Statistical Approach For Defining Drained Lake Basins In A Continuous Permafrost Region, North Slope Of Alaska, Helena Bergstedt, Benjamin M. Jones, Kenneth M Hinkel, Louise Farquharson, Benjamin V. Gaglioti, Andrew D. Parsekian, Mikhail Kanevskiy, Noriaki Ohara, Amy L. Breen, Rodrigo C. Rangel, Guido Grosse, Ingmar Nitze

Michigan Tech Publications

Lake formation and drainage are pervasive phenomena in permafrost regions. Drained lake basins (DLBs) are often the most common landforms in lowland permafrost regions in the Arctic (50% to 75% of the landscape). However, detailed assessments of DLB distribution and abundance are limited. In this study, we present a novel and scalable remote sensing-based approach to identifying DLBs in lowland permafrost regions, using the North Slope of Alaska as a case study. We validated this first North Slope-wide DLB data product against several previously published sub-regional scale datasets and manually classified points. The study area covered >71,000 km2, including a …

Characterizing Soil Stiffness Using Thermal Remote Sensing And Machine Learning, Jordan Ewing, T. Oommen, Paramsothy Jayakumar, Russell Alger

Michigan Tech Publications

Soil strength characterization is essential for any problem that deals with geomechanics, including terramechanics/terrain mobility. Presently, the primary method of collecting soil strength parameters through in situ measurements but sending a team of people out to a site to collect data this has significant cost implications and accessing the location with the necessary equipment can be difficult. Remote sensing provides an alternate approach to in situ measurements. In this lab study, we compare the use of Apparent Thermal Inertia (ATI) against a GeoGauge for the direct testing of soil stiffness. ATI correlates with stiffness, so it allows one to predict …

Potentials Of Airborne Hyperspectral Aviris-Ng Data In The Exploration Of Base Metal Deposit—A Study In The Parts Of Bhilwara, Rajasthan, Arindam Guha, Uday Kumar Ghosh, Joyasree Sinha, Amin Beiranvand Pour, Ratnakar Bhaisal, Snehamoy Chatterjee, Nikhil Kumar Baranval, Nisha Rani, K. Vinod Kumar, Pamaraju V.N. Rao

Michigan Tech Publications

In this study, we have processed the spectral bands of airborne hyperspectral data of Advanced Visible Infrared Imaging Spectrometer-Next Generation (AVIRIS-NG) data for delineating the surface signatures associated with the base metal mineralization in the Pur-Banera area in the Bhilwara district, Rajasthan, India.The primaryhost rocks of the Cu, Pb, Zn mineralization in the area are Banded Magnetite Quartzite (BMQ), unclassified calcareous silicates, and quartzite. We used ratio images derived from the scale and root mean squares (RMS) error imagesusing the multi-range spectral feature fitting (MRSFF) methodto delineate host rocks from the AVIRIS-NG image. The False Color Composites (FCCs) of different …

Global Health Effects Of Future Atmospheric Mercury Emissions, Yanxu Zhang, Zhengcheng Song, Shaojian Huang, Peng Zhang, Yiming Peng, Peipei Wu, Jing Gu, Stephanie Dutkiewicz, Huanxin Zhang, Shiliang Wu, Feiyue Wang, Long Chen, Shuxiao Wang, Ping Li

Michigan Tech Publications

Mercury is a potent neurotoxin that poses health risks to the global population. Anthropogenic mercury emissions to the atmosphere are projected to decrease in the future due to enhanced policy efforts such as the Minamata Convention, a legally-binding international treaty entered into force in 2017. Here, we report the development of a comprehensive climate-atmosphere-land-ocean-ecosystem and exposure-risk model framework for mercury and its application to project the health effects of future atmospheric emissions. Our results show that the accumulated health effects associated with mercury exposure during 2010–2050 are $19 (95% confidence interval: 4.7–54) trillion (2020 USD) realized to 2050 (3% discount …

Calculation Of Real Evapotranspiration By The Application Of Metric Method On Landsat-8 Data, Ali Imanian, Majid Hashemi Tangestani, Adel Asadi, Mohammad Zare

Michigan Tech Publications

In geological remote sensing approaches for estimating evapotranspiration, METRIC method is among the most modern and precise approaches that many positive experiments have been reported regarding its applicability. In this study, the value of actual evapotranspiration (ET) occurred in Marvdasht farmlands, Fars province, Iran, was calculated instantaneously (hourly) and daily (24 hours), at 24 April 2017 using METRIC method and Lansat-8 data. In order to accuracy assessment of the results, estimated values were compared to the values calculated with Penman Monteith method in places that covers by alfafa crop. Our observations showed that ET values obtained via METRIC model on …

Effect Of Spectral Bandwidths On Linear Feature Extraction: An Evaluation Of Landsat Etm+ And Oli Sensors, Ali Imanian, Adel Asadi, Majid Hashemi Tangestani, Saeid Homayouni, Ali Faghih

Michigan Tech Publications

Hitherto there have been many studies comparing the usefulness of OLI and ETM+ sensors for linear feature extraction. However, not too much attention has been paid to the differences in the bandwidth of the two sensors. In this study, the suitability of Landsat ETM+ and OLI sensors for automatic detection of linear features by LINE algorithm was compared. In this study, eight regions in northern, central and southern parts of Iran were selected based on the diversity of lithology, the pristine status, and lack of human activities for the comparison of the two datasets. Results revealed that LINE algorithm performed …