Contaminated Site Clean-Up Information (CLU-IN): Internet Seminar Audio Archives

Contaminated Site Clean-Up Information (CLU-IN)
Contaminated Site Clean-Up Information (CLU-IN): Internet Seminar Audio Archives

Since 1998, The Contaminated Site Clean-Up Information (CLU-IN) website has presented Internet Seminars covering a wide variety of technical topics related to hazardous waste characterization, monitoring, and remediation. For each seminar topic, we have selected the highest-quality offering for placement in our archives. Beginning in May 2005, we began offering these archives via podcast, and this feed contains all seminars archived in the last 6 months. For a complete list of seminars archived since 2000 and videos of selected seminars archived since 2012, please visit http://clu-in.org/live/archive/. Our Rehabilitation Act Notice for reasonable accommodation is available at http://clu-in.org/training/accommodation.cfm. CLU-IN was developed by the U.S. Environmental Protection Agency (EPA) but is intended as a forum for all waste remediation stakeholders. For more information and to view upcoming live offerings, please visit http://clu-in.org/live/. For a complete list of RSS feeds available on CLU-IN, please visit http://clu-in.org/rss/about/.

  1. 12/12/2024

    Audio for "Federal Facilities Online Academy: Coordinating with Tribes at Federal Facilities," Dec 12, 2024

    Coordinating with Tribes at Federal Facilities is a two-hour webinar course that will provide an overview of Environmental Protection Agency (EPA) policy on consultation and coordination with Indian Tribes at federal facilities. This webinar will also provide tips on how to work more collaboratively during this process. By taking this course, participants will achieve the following objectives:Identify EPA processes and policies for interacting with the Tribes;Understand the roles of EPA and tribal governments in Federal Facility clean ups;Learn about the Federal Facilities Restoration and Reuse Office (FFRRO); and,Discover EPA resources and tools available to assist Federal Facilities in building partnerships with the Tribes;The instructional methodology for this course includes lecture, group discussions, and case studies. The target audience for this course is federal, state, and tribal representatives who work on Federal Facility cleanups. Ideally, students should have a basic understanding of the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) process. This course is part of the Federal Facilities Academy training program. Please consider registering for other Federal Facility Academy courses and obtain a certificate upon completion of the entire Federal Facility Academy series (12 courses total). To view this archive online or download the slides associated with this seminar, please visit http://www.clu-in.org/conf/tio/FFAcademy10_121224/

  2. 12/05/2024

    Audio for "ITRC: Introduction to Hydrocarbons," Dec 5, 2024

    Petroleum is a complex mixture of many compounds. Regulatory and technical guidance documents commonly focus on the hydrocarbon components of that mixture, or perceived risks that they present. However, focusing on a specific area of concern often causes practitioners to overlook other aspects of a release. For example, concerns related to exposure to total petroleum hydrocarbons (TPH) risks may be overlooked while pursuing concerns related to light non-aqueous phase liquid (LNAPL) recovery or petroleum vapor intrusion (PVI). This class is designed to provide a basic overview of hydrocarbon behavior in the subsurface and how to scientifically assess concerns arising from the release of petroleum products into the environment. It will highlight key issues that help identify and manage TPH, LNAPL, and PVI risks together. Key concepts will include: Fundamentals of petroleum hydrocarbonsPetroleum chemistryHow TPH, LNAPL, and PVI are relatedBuilding an integrated conceptual site model (CSM) What is a CSM…what is its purpose?When is a CSM complete?Identifying and managing the risks from petroleum hydrocarbonsDefining LNAPL risks based on acute, saturation, composition, or aesthetic concernsEmphasize the importance of biodegradation in risk management decision makingHow to select remedial goals and remedies that align with your goals This course is based upon three separate Guidance Documents developed by ITRC that address the course content in detail:Light Non-Aqueous Phase Liquid (LNAPL), LNAPL Site Management: LCSM Evolution, Decision Process, and Remedial Technologies (LNAPL-3) Petroleum Vapor Intrusion (PVI), Fundamentals of Screening, Investigation, and Management (PVI-1) Total Petroleum Hydrocarbon (TPH), TPH Risk Evaluation at Petroleum-Contaminated Sites (TPHRisk-1) To view this archive online or download the slides associated with this seminar, please visit http://www.clu-in.org/conf/itrc/Hydrocarbons_120524/

  3. 11/22/2024

    Audio for "Advancing Environmental Health Research with Artificial Intelligence and Machine Learning: Session III — ML & AI Applications to Understand Omics, Metabolomics, & Immunotoxicity and Optimizing Bioengineering Using Datasets, Models, & Mass S

    The NIEHS Superfund Research Program (SRP) is hosting a Risk e-Learning webinar series focused on using artificial intelligence (AI) and machine learning to advance environmental health research. The series will feature SRP-funded researchers, collaborators, and other subject-matter experts who aim to better understand and address environmental health issues by applying AI and machine learning approaches to complex issues. Recent advances in AI and machine learning methods show promise to improve the accuracy and efficiency of environmental health research. Over the course of three sessions, presenters will discuss how they use AI and machine learning approaches to improve chemical analysis, characterize chemical risk, understand microbial ecosystems, develop technologies for contaminant removal, and more. In the third and final session, ML & AI Applications to Understand Omics, Metabolomics, & Immunotoxicity and Optimize Bioengineering Using Datasets, Models, and Mass Spectrometry, speakers will discuss how they apply machine learning and artificial intelligence tools to analyze mass spectrometry and microscopy data and optimize models for understanding metabolomics, metabolite pathways, and immunotoxicology To learn about and register for the other sessions in this webinar series, please see the SRP website. Grace Peng, Ph.D., is a co-coordinator of the National Institutes of Health (NIH) Common Fund's Bridge to Artificial Intelligence (Bridge2AI) program, bridging the gap between the biomedical, behavioral and bioethics research communities and the data science/AI communities through a consortium of diverse experts to set the stage for widespread adoption of AI/ML in medicine. Dr. Peng will give an overview of the Bridge2AI program and introduce one of their projects at the University of California San Diego — Trey Ideker, Ph.D. Dr. Ideker will discuss the cell maps for AI (CM4AI) functional genomics project, one of four major data generation projects under the Bridge2AI program. The goal of the project is to provide a comprehensive map of human cellular components through generation of major spatial proteomics datasets. John Efromson, M.S., will present on Ramona Optic, Inc.'s Multi-Camera Array Microscope [MCAM(TM)], which is used to automate imaging and computer vision analysis of zebrafish and greatly improves previous throughput and analysis capabilities. Multiple applications of machine learning will be discussed, including behavioral pose estimation and phenotyping, morphological analysis, and cell counting and fluorescence quantification, as well as how these distinct analyses can be used together for pharmacology, toxicology, and neuroscience research. Speakers:Grace C.Y. Peng, Ph.D., Division of Discovery Science and Technology (Bioengineering), National Institute of Biomedical Imaging and Bioengineering and Trey Ideker, Ph.D., University of California San DiegoJohn Efromson, M.S., Ramona OpticsForest White, Ph.D., Massachusetts Institute of Technology (MIT)Moderator: Hunter Moseley, Ph.D., University of Kentucky To view this archive online or download the slides associated with this seminar, please visit http://www.clu-in.org/conf/tio/SRP-ML-AI3_112224/

  4. 11/21/2024

    Audio for "Sediment Cap Chemical Isolation Training," Nov 21, 2024

    In 2023, ITRC published the Sediment Cap Chemical Isolation Guidance to supplement the 2014 Contaminated Sediments Remediation Guidance with the goal of improving consistency in sediment cap performance outcomes. Sediment capping is a commonly selected remediation approach and numerous designs have been completed. Previous cap designs have been evaluated in multiple ways, and these varying approaches have led to some differences in selection of chemical design criteria, construction tolerance specifications, and monitoring/maintenance objectives for sites with similar characteristics and contaminants, leading to different expectations for long-term performance and reliability. The ITRC Sediment Cap Chemical Isolation Guidance provides a framework for the design, construction, and long-term monitoring of the chemical isolation function of sediment caps. The framework consists of an iterative design process informed by site-specific data that balances achievement of chemical design criteria, physical design constraints, constructability and permitting requirements. In addition, the guidance summarizes key construction considerations and presents a recommended approach for monitoring and evaluating long-term chemical isolation performance. The recommended framework presented in the Sediment Cap Chemical Isolation Guidance is illustrated below. The Sediment Cap Chemical Isolation Training will cover several key elements of the recommended framework, including: A capping overview that summarizes objectives of capping, role of the chemical isolation layer, and generic cap types and compositions. A discussion of performance objectives and design concepts that includes the selection of chemical isolation performance targets criteria and development of design criteria while considering the site setting and conceptual site model elements. An overview of chemical isolation layer modeling tools and discussion of their applicability to support chemical isolation design, important model input parameters, and the impact of uncertainty and sensitivity of modeling results. A summary of chemical isolation construction considerations, including an overview of available construction methods and tolerances and quality assurance and quality control measures. A discussion of cap performance monitoring and maintenance objectives and approaches that include developing monitoring objectives to assess chemical isolation performance and methods for guiding long-term maintenance decisions. We encourage participants to review the ITRC Sediment Cap Chemical Isolation Guidance (SD-1) before and after the training to become familiar with the topics and recommendations discussed during the training. This training is intended for all environmental professionals working in the field of sediment capping projects, including regulators and other government agency staff, consultants, project stakeholders, and industry. To view this archive online or download the slides associated with this seminar, please visit http://www.clu-in.org/conf/itrc/sd-1_112124/

  5. 11/20/2024

    Audio for "Advancing Environmental Health Research with Artificial Intelligence and Machine Learning: Session II — ML & AI Applications to Environmental Engineering & Bioremediation," Nov 20, 2024

    The NIEHS Superfund Research Program (SRP) is hosting a Risk e-Learning webinar series focused on using artificial intelligence (AI) and machine learning to advance environmental health research. The series will feature SRP-funded researchers, collaborators, and other subject-matter experts who aim to better understand and address environmental health issues by applying AI and machine learning approaches to complex issues. Recent advances in AI and machine learning methods show promise to improve the accuracy and efficiency of environmental health research. Over the course of three sessions, presenters will discuss how they use AI and machine learning approaches to improve chemical analysis, characterize chemical risk, understand microbial ecosystems, develop technologies for contaminant removal, and more. In the second session ML & AI Applications to Environmental Engineering Contaminants & Bioremediation, invited presenters will discuss how they apply machine learning and artificial intelligence to environmental engineering applications including contaminants and bioremediation using biosensors, microbiome compositions, and screening tools. To learn about and register for the other sessions in this webinar series, please see the SRP website. Kei-Hoi Cheung, Ph.D., has an extensive history in data science, and has leveraged that expertise to lead natural language processing (NLP) projects in annotating, extracting, and retrieving environmental exposure data. He will present on the use of these NLP methods combined with ontologies in the in the context of scientific literature on emerging water contaminants. Mohammad Soheilypour, Ph.D., will discuss the application of a suite of computational methods to identify and predict microbial metabolism of various chemical compounds, with a focus on gut and environmental microbiomes. Specifically, he will cover the potential application of machine learning models in this context and their integration with other computational methods to enhance both accuracy and utility. Paul Westerhoff, Ph.D., will highlight the work of his research team utilizing and comparing two advanced multiple data imputation techniques, AMELIA and MICE algorithms, to fill gaps in sparse groundwater quality datasets to support State agencies in prioritizing future sampling activities. Historic water quality databases are often sparse due to financial budgets for collection and analysis, posing challenges in evaluating exposure or water treatment effectiveness — and this project aims to account for those by accurately assessing and managing risks associated with inorganic pollutants using this technology. Speakers:Kei-Hoi Cheung, Ph.D., Yale University School of MedicineMohammad Soheilypour, Ph.D., Nexilico Inc.Paul Westerhoff, Ph.D., Arizona State UniversityModerator: Rodrigo Rimando, U.S. Department of Energy To view this archive online or download the slides associated with this seminar, please visit http://www.clu-in.org/conf/tio/SRP-ML-AI2_112024/

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About

Since 1998, The Contaminated Site Clean-Up Information (CLU-IN) website has presented Internet Seminars covering a wide variety of technical topics related to hazardous waste characterization, monitoring, and remediation. For each seminar topic, we have selected the highest-quality offering for placement in our archives. Beginning in May 2005, we began offering these archives via podcast, and this feed contains all seminars archived in the last 6 months. For a complete list of seminars archived since 2000 and videos of selected seminars archived since 2012, please visit http://clu-in.org/live/archive/. Our Rehabilitation Act Notice for reasonable accommodation is available at http://clu-in.org/training/accommodation.cfm. CLU-IN was developed by the U.S. Environmental Protection Agency (EPA) but is intended as a forum for all waste remediation stakeholders. For more information and to view upcoming live offerings, please visit http://clu-in.org/live/. For a complete list of RSS feeds available on CLU-IN, please visit http://clu-in.org/rss/about/.

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