A5003515619- Carbon Dioxide Capture Technologies
- Ocean Acidification Effects and Responses
- Recycled Aggregate Concrete Performance
- CO2 Sequestration and Geologic Interactions
- Advanced Aircraft Design and Technologies
- Air Traffic Management and Optimization
- Concrete and Cement Materials Research
- Satellite Image Processing and Photogrammetry
- Complex Network Analysis Techniques
- Innovative Education and Learning Practices
- Fire effects on ecosystems
- Forest Management and Policy
- Infrastructure Resilience and Vulnerability Analysis
- Psychometric Methodologies and Testing
- Atmospheric chemistry and aerosols
- Concrete Corrosion and Durability
- Recycling and utilization of industrial and municipal waste in materials production
- Wind Energy Research and Development
- Engineering Applied Research
- Advanced Neural Network Applications
- Network Security and Intrusion Detection
- Higher Education Learning Practices
- Remote Sensing and LiDAR Applications
- Advanced X-ray and CT Imaging
- Methane Hydrates and Related Phenomena
Google (United States)
2022-2025
Michigan Technological University
2014-2020
Electrochemically splitting seawater and releasing the acidified effluent stream at depth could be used to artificially accelerate dissolution of deep ocean carbonate sediments enact CO 2 sequestration with storage times 300–2500 years.
Electrochemical ocean alkalinity enhancement (OAE) is a promising technology for negative carbon emissions, but the resulting dilute acid stream poses disposal challenge. This study presents an innovative method to neutralize this using recycled concrete aggregates (RCA) while simultaneously producing high-quality new construction. A rotary drum reactor facilitates reaction and reduces concentration from 0.5 0.1 M HCl lowering RCA water absorption 6.8 0.5–1%. The remaining further...
Contrails (condensation trails) are line-shaped ice clouds caused by aircraft and likely the largest contributor of aviation-induced climate change. Contrail avoidance is potentially an inexpensive way to significantly reduce impact aviation. An automated contrail detection system essential tool develop evaluate systems. In this paper, we present a human-labeled dataset named OpenContrails train models based on GOES-16 Advanced Baseline Imager (ABI) data. We propose model that incorporates...
Contrails (condensation trails) are line-shaped ice clouds caused by aircraft and a substantial contributor to aviation-induced climate change. Contrail avoidance is potentially an inexpensive way significantly reduce the impact of aviation. An automated contrail detection system essential tool develop evaluate systems. In this article, we present human-labeled dataset named OpenContrails train models based on GOES-16 Advanced Baseline Imager (ABI) data. We propose model that incorporates...
Abstract Contrails, formed by aircraft engines, are a major component of aviation’s impact on anthropogenic climate change. Contrail avoidance is potential option to mitigate this warming effect, however, uncertainties surrounding operational constraints and accurate formation prediction make it unclear whether feasible. Here we address gap with feasibility test through randomized controlled trial contrail in commercial aviation at the per-flight level. Predictions for regions prone came...
Abstract Previous work has shown that while the net effect of aircraft condensation trails (contrails) on climate is warming, exact magnitude energy forcing per meter contrail remains uncertain. In this paper, we explore skill a Lagrangian model (CoCiP) in identifying flight segments with high forcing. We find greater than climatological predictions alone, even accounting for uncertainty weather fields and parameters. estimate due to humidity by using ensemble ERA5 reanalysis from European...
The majority of IPCC scenarios call for active CO2 removal (CDR) to remain below 2oC warm- ing. On geological timescales, ocean uptake regulates atmospheric concentration, with two homeostats driving uptake: dissolution deep calcite deposits and terrestrial weathering silicate rocks, acting on 1ka 100ka respectively. Many current ocean-based CDR proposals effectively act accelerate the latter. Here we present a method which relies purely redistribution dilution acidity from thin layer...
The transition to renewable energy, particularly solar, is key mitigating climate change. Google's Solar API aids this by estimating solar potential from aerial imagery, but its impact constrained geographical coverage. This paper proposes expanding the API's reach using satellite enabling global assessment. We tackle challenges involved in building a Digital Surface Model (DSM) and roof instance segmentation lower resolution single oblique views deep learning models. Our models, trained on...
Electrochemical ocean alkalinity enhancement (OAE) is a promising technology for negative carbon emissions, but the resulting dilute acid stream poses disposal challenge. This study presents an innovative method to neutralize this using recycled concrete aggregates (RCA) while simultaneously producing high-quality new construction. A rotary drum reactor facilitates reaction by reducing concentration from 0.5 M 0.1 HCl and lowering RCA water absorption 6.8% 0.5-1%. The remaining further...
Abstract NOTE: The first page of text has been automatically extracted and included below in lieu an abstract What do prior experience student attitudes say about ECE lab ability? One hundred nine students over three semesters took a Prior Experience Questionnaire the Pittsburgh Freshman Engineering Survey as part their initial Electrical Computer lab. Twelve weeks later, each was given practical this sophomore practical, to last week course, is used measure skills. perform basic...
Satellite-derived estimates of the Earth's radiation budget are crucial for understanding and predicting weather climate. However, existing satellite products measuring broadband outgoing longwave (OLR) reflected shortwave (RSR) have spatio-temporal resolutions that too coarse to evaluate important radiative forcers like aircraft condensation trails. We present a neural network which OLR RSR based on narrowband radiances, using collocated Cloud Radiant Energy System (CERES) GOES-16 Advanced...
The objective of this paper was to understand how flow and topology affect resilience robustness codependent infrastructure natural system networks. This represents these systems as an integrated network (INS) develops metrics measure based on the understanding connections characteristics. presents a mathematical framework founded in dynamics viability theory that can be used formulate for INS. As each factors are function "structure," graph theoretic approach is represent analyze research...
Abstract Will Prior Experiences Help Predict Specific Aptitude Test Results?Abstract:In an effort to determine the level of hands on ability a student may have, it is common use anaptitude test. Most are mechanical aptitude tests that ask what wouldhappen if particular set circumstances present. These responses try studentcan mentally how physical objects operate. An electrical test would, then todetermine could devices operate in different scenarios,and be wrong with circuit not working.The...