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At least 235 records · Page 13

Large Game Distribution Camera Study at Los Alamos National Laboratory

The unique habitats at the Laboratory support a diverse community of wildlife. The habitat types that include Pinon Juniper, Ponderosa Pine, and Mixed-conifer forests each provide different resources important for a variety of species. Wildlife monitoring for large game animals can be challenging because they avoid interactions with humans, and prefer undeveloped areas. This study was conducted to analyze the distribution of predators and other game animals seasonally across the Laboratory. This research informs decisions regarding wildlife management recommendations for conservation and protection. This study utilized game cameras to remotely monitor wildlife. As camera technology has advanced, game cameras have become adequate for documenting individuals, and are commonly used in wildlife studies on predation, abundance, occupancy, diversity, and endangered species detection. Twenty cameras were placed across the LANL landscape using a modified systematic sampling design. They were deployed in February 2018 and retrieved in January 2019, thus each camera sampled for one full year. All images were reviewed and the species, number, age, and sex of all animals in the photo were recorded. Here we present data for the most abundant species encountered: deer, elk, coyote, bear, bobcat, mountain lion, and fox respectively. The data were summarized by species and season. Future work will include occupancy modelling for each species. This will allow the development of heat maps showing species distributions across the Laboratory.

59 BASIC BIOLOGICAL SCIENCES↗

Evaluation of the Los Alamos Nuclear Material Packaging Risk Ranking Method

Repackaging nuclear material into robust containers to protect workers and the public has been ongoing at LANL and around the DOE complex for nearly two decades. The number of containers at LANL is around 5,000; limited resources for repackaging material has led to extended repackaging campaigns and the need to prioritize repackaging. Various methodologies have been used to prioritize the repackaging efforts and to demonstrate progress in risk reduction over time (e.g., Boerigter, 1997). The 2000-1 DNFSB recommendation recognized the limited DOE resources for repackaging, and acknowledged the need to “prioritize and schedule tasks to be undertaken with available funds according to consideration of risks.” Later, in DNFSB recommendation 2005-1, in addition to recommending that DOE develop a packaging standard, the Board recommended that “Characterization information should also be used to develop a surveillance program prioritized according to expected material and container risk (including, for example, material type, material form, and the age and type of container).” In response to requests and recommendations from the DOE and DNSFB to prioritize according to worker risk, a risk ranking method based on the potential consequence of dropping a container from 3 meters was developed in 2007 (Smith, 2007) and updated in 2014 (Hoffman, 2014). Various LANL implementation plans for repackaging were developed over the years using this methodology (Stone, 2014). Currently, this method is utilized in conjunction with an algorithm to mitigate programmatic risk to prioritize container repackaging and material processing (Prochnow, 2015). The purpose of this study is to document how the current risk ranking method works, how it is used and potential limitations.

11 NUCLEAR FUEL CYCLE AND FUEL MATERIALS↗

Los Alamos National Laboratory’s Contingent Labor Transformation with SAP Fieldglass [Slides]

LANL continues to expand our mission, increasing demand for a robust Contingent Labor program. Our remote location makes finding and attracting workers difficult. Our existing Contingent Labor program did not cover all workers or contracts. We had outsourced management services, including a Fieldglass instance that was 3rd party managed. The end of life of our current contract for Contingent Labor management propelled us to pursue a comprehensive change to our approach.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗

Serendipitous discovery connects grandfather and granddaughter at the Lab 60 years apart A third-generation employee learns about Los Alamos family history

The Lab’s enduring mission work means staff like Cameron Townsend are one of many family members who have careers at LANL. Cameron is her family’s third generation to work at the Lab, starting with her great grandparents, followed by her grandparents (skipping her parents), and now including her and her husband. She didn’t know about her family history at the Lab until she started working here three years ago when a typical day on the job became a serendipitous window into her family’s long history with the Lab. Cameron, who is an architect in EPC-ES: Environmental Stewardship and helps manage the Lab’s historic buildings program, was given a drawing from 1960 to aid in an assessment. The drafter’s name on the sketch: Ron Turner, her grandfather.

99 GENERAL AND MISCELLANEOUS↗

LABS: Los Alamos Benchmark Suite - Current status and planning [Slides]

The LABS repository now has over 500 verified and revised input files with about 600 input files left to get up to speed with what we currently use. After that there are many, many more to go. We're in the process of building code infrastructure, moving to template output files, automating input file generation, outputting file data mining for calculation results, and benchmarking selection on sensitivity and other benchmark characteristics. We intend to open source LABS. We'll most likely release the input files sooner rather than later. The associated tool will probably be open sourced later.

73 NUCLEAR PHYSICS AND RADIATION PHYSICS↗

Technology Transfer from Los Alamos [Slides]

The Feynman Center for innovation is responsible for all of the Laboratory’s technology transfer activities. The goal of technology transfer is to leverage federal R&D investments to promote U.S. economic competitiveness and job growth, while supporting the Laboratory’s national security mission objectives. FCI authorities and functions originate from federal and state statutes and prime contract directives.

29 ENERGY PLANNING, POLICY, AND ECONOMY↗