Thematische Bibliographien / Risk inventory

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Risk inventory“

Autor: Grafiati
Veröffentlicht am 23. Juni 2021
Zuletzt aktualisiert am 29. Juli 2025

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Zeitschriftenartikel zum Thema "Risk inventory"

1

Woodman, Tim, Matt Barlow, Comille Bandura, Miles Hill, Dominika Kupciw, and Alexandra MacGregor. "Not All Risks Are Equal: The Risk Taking Inventory for High-Risk Sports." Journal of Sport and Exercise Psychology 35, no. 5 (2013): 479–92. http://dx.doi.org/10.1123/jsep.35.5.479.

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Although high-risk sport participants are typically considered a homogenous risk-taking population, attitudes to risk within the high-risk domain can vary considerably. As no validated measure allows researchers to assess risk taking within this domain, we validated the Risk Taking Inventory (RTI) for high-risk sport across four studies. The RTI comprises seven items across two factors: deliberate risk taking and precautionary behaviors. In Study 1 (n = 341), the inventory was refined and tested via a confirmatory factor analysis used in an exploratory fashion. The subsequent three studies con
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Tapiero, Charles S., and Alberto Grando. "INVENTORY OUTSOURCING AND RISK MANAGEMENT." IFAC Proceedings Volumes 38, no. 1 (2005): 13–17. http://dx.doi.org/10.3182/20050703-6-cz-1902.01427.

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Tapiero, C. S., and A. Grando. "Supply risk and inventory outsourcing." Production Planning & Control 17, no. 5 (2006): 534–39. http://dx.doi.org/10.1080/09537280600777172.

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Chen, Xin, Melvyn Sim, David Simchi-Levi, and Peng Sun. "Risk Aversion in Inventory Management." Operations Research 55, no. 5 (2007): 828–42. http://dx.doi.org/10.1287/opre.1070.0429.

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Bianco, Marco, and Andrea Gamba. "Inventory and Corporate Risk Management." Review of Corporate Finance Studies 8, no. 1 (2018): 97–145. http://dx.doi.org/10.1093/rcfs/cfy007.

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Brooks, LeRoy D. "Inventory Policy Incorporating Systematic Risk." Engineering Economist 33, no. 3 (1988): 191–210. http://dx.doi.org/10.1080/00137918808966954.

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Oehlerts, Beth. "Inventory: Risk Identification and More." Library & Archival Security 22, no. 2 (2009): 73–83. http://dx.doi.org/10.1080/01960070902903995.

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Bartl, Ondrej. "Cost-Effective Inventory Control Under Risk." Communications - Scientific letters of the University of Zilina 2, no. 4 (2000): 16–28. http://dx.doi.org/10.26552/com.c.2000.4.16-28.

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Gaur, Vishal, and Sridhar Seshadri. "Hedging Inventory Risk Through Market Instruments." Manufacturing & Service Operations Management 7, no. 2 (2005): 103–20. http://dx.doi.org/10.1287/msom.1040.0061.

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Chod, Jiri. "Inventory, Risk Shifting, and Trade Credit." Management Science 63, no. 10 (2017): 3207–25. http://dx.doi.org/10.1287/mnsc.2016.2515.

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Dissertationen zum Thema "Risk inventory"

1

Cakmak, Ulas. "On risk-averse and robust inventory problems." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44745.

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The thesis focuses on the analysis of various extensions of the classical multi-period single-item stochastic inventory problem. Specifically, we investigate two particular approaches of modeling risk in the context of inventory management: risk-averse models and robust formulations. We analyze the classical newsvendor problem utilizing a coherent risk measure as the objective function. Properties of coherent risk measures allow us to offer a unifying treatment of risk averse and min-max type formulations. We show that the structure of the optimal policy of the risk-averse model is similar to
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Lewis, Brian Michael. "Inventory Control with Risk of Major Supply Chain Disruptions." Diss., Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7155.

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This thesis studies inventory control with risk of major supply chain disruptions, specifically border closures and congestion. We first investigate an inventory system in which the probability distributions of order leadtimes are dependent on the state of an exogenous Markov process; we will model border disruptions via this exogenous process. We consider stationary, state-dependent basestock policies, which are known to be optimal for the system under study, and develop an expression for the long-run average cost of an arbitrary policy of this form. Restricting our attention to state-invaria
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Klebe, Jesse Daniel. "Optimal Inventory Strategy Under Risk: A Contingent Claims Approach." Thesis, North Dakota State University, 2019. https://hdl.handle.net/10365/29792.

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Inventory management in the agriculture industry involves many sources of risk in terms of demand uncertainty as well as uncertain margins. Divulging an optimal inventory strategy can prove cumbersome to logistics managers. In this thesis, inventory is viewed as a real option on the ability to operate. Contingent claims inventory (CCI) analysis, paired with stochastic binomial real option valuation, provides a model which values the real option embedded in holding inventory and iterates the purchasing strategy until expected profit is maximized. This framework is applied to three industry
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Kene, Prachi. "Utility of the Personality Assessment Inventory in Assessing Suicide Risk." Connect to full text in OhioLINK ETD Center, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=toledo1196965938.

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Thesis (M.A.)--University of Toledo, 2007.<br>Typescript. "Submitted as partial fulfillment of the requirements for The Master of Arts Degree in Psychology." "A thesis entitled"--at head of title. Bibliography: leaves 57-82.
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YE, Zuobin. "A risk-averse newsvendor model with pricing consideration." Digital Commons @ Lingnan University, 2004. https://commons.ln.edu.hk/otd/18.

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A decision maker who is facing a random demand for a perishable product, such as newspapers, decides how many units to order for a single selling period. This single-period inventory problem is often referred to as the \classic newsvendor problem", in which the selling price is ¯xed, the order must be made before the selling period, and the decision maker is risk-neutral. If the decision maker orders too many (overage), the inventory cost will be too high. If the decision maker orders too few (underage), the potential pro¯t will be lost. The optimal order quantity is a balance between the expe
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Arikan, Fichtinger Emel, and Lena Silbermayr. "Risk pooling via unidirectional inventory transshipments in a decentralized supply chain." Taylor & Francis, 2017. http://dx.doi.org/10.1080/00207543.2017.1394586.

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We study risk pooling via unidirectional lateral transshipments between two locations under local decision-making. Unidirectional transshipments can be applicable when cost structures and/or capabilities differ between locations, and it is also a common practice in dual channel supply chains with online and offline sales channels. We show that such a system cannot be coordinated only with varying transshipment prices. The transshipment receiver orders more and the transshipment giver orders less than the respective optimal centralised order quantities. In order to remove this discrepan
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Huang, Wan-Yu M. Eng Massachusetts Institute of Technology, and Jierui Liu. "A joint inventory and sourcing strategy to balance efficiency versus risk." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/92641.

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Thesis: M. Eng. in Logistics, Massachusetts Institute of Technology, Engineering Systems Division, 2014.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 70-72).<br>This research sought to identify the right strategy to mitigate the supply chain risk while maintaining supply chain efficiency for a company in the medical device industry. The company in our case was exposed to great risk of supplier disruption because of its single source practice. In general, there are two different approaches to reduce the impact of supplier disruption. One is holding addi
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Hampshire, Kenneth E. "External risk monitoring and inventory sizing in supply chain disruption mitigation." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122593.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2019, In conjunction with the Leaders for Global Operations Program at MIT<br>Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019, In conjunction with the Leaders for Global Operations Program at MIT<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (page 67).<br>As AstraZeneca's product portfolio becomes increasingly complex, its supply chains must evolve in parallel. These supply chains operate in an environment of ever-present external
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Wang, Shuoyu, and 王硕玉. "Optimal inventory strategies in supply chains under a value-at-risk constraint." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B4440704X.

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Muthukumar, Subrahmanyam. "The application of advanced inventory techniques in urban inventory data development to earthquake risk modeling and mitigation in mid-America." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26662.

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Thesis (Ph.D)--City Planning, Georgia Institute of Technology, 2009.<br>Committee Chair: French, Steven P.; Committee Member: Drummond, William; Committee Member: Goodno, Barry; Committee Member: McCarthy, Patrick; Committee Member: Yang, Jiawen. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Bücher zum Thema "Risk inventory"

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Gebers, Michael A. An inventory of California driver accident risk factors. California Dept. of Motor Vehicles, Research and Development Branch, 2003.

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Fichtinger, Johannes. The Single-Period Inventory Model with Spectral Risk Measures. Peter Lang International Academic Publishers, 2012.

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Ohio. Dept. of Transportation. Office of Materials Management and United States. Federal Highway Administration. Office of Infrastructure, eds. Manual for abandoned underground mine inventory and risk assessment. U.S. Dept. of Transportion, Federal Highway Administration, Office of Infrastructure, 1999.

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Salekin, Randall T. RSTI, risk-sophistication-treatment inventory ; risk for dangerousness sophistication-maturity treatment amenability: Professional manual. PAR, Psychologial Assessment Resources, 2004.

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Miller, Holly A. IORNS: Inventory of offender risk, needs, and strengths : professional manual. Psychological Assessment Resources, 2006.

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Moon, Robert W. Montana state-level public health preparedness and response capacity inventory. Northwest Health Partners, LLC., 2003.

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Pearce, Helen. SOPAC/GA Tsunami Hazard & Risk Assessment Project: Inventory of geospatial data and options for tsunami inundation & risk modelling : PIC summary. SOPAC, 2008.

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Bavolek, Stephen J. Adult-adolescent parenting inventory, AAPI-2: Assessing high-risk parenting attitudes and behaviors. 3rd ed. Family Development Resources, 2001.

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Bavolek, Stephen J. Adult-adolescent parenting inventory, AAPI-2: Assessing high-risk parenting attitudes and behaviors. 3rd ed. Family Development Resources, 2001.

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Bavolek, Stephen J. Adult-adolescent parenting inventory, AAPI-2: Assessing high-risk parenting attitudes and behaviors. 3rd ed. Family Development Resources, 2001.

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Buchteile zum Thema "Risk inventory"

1

Ali, Majid Khan Majahar, Sani Rabiu, and Mohd Tahir Ismail. "Inventory Risk Management." In Analytical Inventory Management and Optimization. CRC Press, 2025. https://doi.org/10.1201/9781003534860-9.

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Bradley, Robert H., and Stephen L. Rock. "The HOME Inventory." In Early Identification of Children at Risk. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4899-0536-9_9.

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Nicu, Ionut Cristi. "Archaeological Inventory." In Hydrogeomorphic Risk Analysis Affecting Chalcolithic Archaeological Sites from Valea Oii (Bahlui) Watershed, Northeastern Romania. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-25709-9_10.

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Haber, Julian S., and Marylee Norris. "The Texas Preschool Screening Inventory." In Early Identification of Children at Risk. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4899-0536-9_15.

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Sayles, James. "AI Model Inventory and Facts." In Principles of AI Governance and Model Risk Management. Apress, 2024. https://doi.org/10.1007/979-8-8688-0983-5_19.

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Choi, Tsan-Ming, and Chun-Hung Chiu. "Mean-Risk Analysis of Multiperiod Inventory Problems." In Risk Analysis in Stochastic Supply Chains. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3869-4_3.

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Hoge, Robert D. "The Youth Level of Service/Case Management Inventory." In Handbook of Violence Risk Assessment. Routledge, 2020. http://dx.doi.org/10.4324/9781315518374-12.

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Choi, Tsan-Ming, and Chun-Hung Chiu. "Mean-Risk Analysis of Single-Period Inventory Problems." In Risk Analysis in Stochastic Supply Chains. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-3869-4_2.

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Hu, Qiaohai Joice, Lode Li, and Matthew J. Sobel. "Production/Inventory Management and Capital Structure." In The Handbook of Integrated Risk Management in Global Supply Chains. John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118115800.ch12.

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Lim, Jasmine Jiamin, Allan N. Zhang, Yew Soon Ong, and Puay Siew Tan. "A Risk-Averse Inventory Cost Model Using CVaR." In Proceedings in Adaptation, Learning and Optimization. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13359-1_10.

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Konferenzberichte zum Thema "Risk inventory"

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Badulescu, Y., F. Soulikhan, and N. Cheikhrouhou. "Implicit Attitudes Towards Risk: Influences on Newsvendor Inventory Decisions." In 2024 10th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2024. http://dx.doi.org/10.1109/codit62066.2024.10708132.

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Rosyidah, Zulfa, Qurtubi, and Meilinda Fitriani Nur Maghfiroh. "Inventory Operational Risk Analysis in Warehouses Spare Parts Using the FMEA Method." In 2024 1st International Conference on Logistics (ICL). IEEE, 2024. https://doi.org/10.1109/icl62932.2024.10788634.

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Semenchuk, Kateryna, Kateryna Kolesnikova, and Liubava Chernova. "Designing of Inventory Control Processes Based on the Strategy of Risk Pooling In Supply Chains." In 2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST). IEEE, 2024. http://dx.doi.org/10.1109/sist61555.2024.10629482.

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Biller, Bahar, Elliot Wolf, and Enver Yucesan. "Inventory Management Under Disruption Risk." In 2019 Winter Simulation Conference (WSC). IEEE, 2019. http://dx.doi.org/10.1109/wsc40007.2019.9004888.

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Gunes Corlu, Canan, Bahar Biller, Elliot Wolf, and Enver Yucesan. "Inventory Management with Disruption Risk." In 2020 Winter Simulation Conference (WSC). IEEE, 2020. http://dx.doi.org/10.1109/wsc48552.2020.9383979.

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Ju, Lu-Yu, Te Xiao, and Limin Zhang. "Automatic Landslide Inventory Generation Using Deep Learning." In International Symposium for Geotechnical Safety & Risk. Research Publishing Services, 2022. http://dx.doi.org/10.3850/978-981-18-5182-7_00-11-015.xml.

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Bharadwaj, Ujjwal R., Vadim V. Silberschmidt, John B. Wintle, and Julian B. Speck. "A Risk Based Methodology for Spare Parts Inventory Optimisation." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-68845.

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Spare parts inventories assist maintenance staff to keep equipment in operating condition. Thus the inventory level of spares has a direct bearing on machine availability, a factor that is increasingly important in capital-intensive industries. This paper presents a risk based approach for spare parts inventory optimization. At the outset, the paper highlights the unique features of maintenance inventories, such as spare parts inventories, compared to other inventories such as work-in-progress or finished product inventories. After a brief mention of the principles on which many of the current
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Alfatin, Hana Nurila, and Lianny Leo. "Risk Analysis in A Manufacturing Company's Inventory Cycle." In Proceedings of the 3rd Asia-Pacific Research in Social Sciences and Humanities Universitas Indonesia Conference (APRISH 2018). Atlantis Press, 2019. http://dx.doi.org/10.2991/aprish-18.2019.20.

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He, Juan, and Jian Wang. "Long-Term Price Risk Forecasting of Pledged Inventory." In Third International Conference on Transportation Engineering (ICTE). American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41184(419)369.

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Xiaochao Ding and Zheng Qin. "Risk reallocation optimization in supply chain inventory financing." In 2012 7th International Conference on System of Systems Engineering (SoSE). IEEE, 2012. http://dx.doi.org/10.1109/sysose.2012.6333529.

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Berichte der Organisationen zum Thema "Risk inventory"

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Hill, Brian, Jerry Hill, Denise Hills, David Riestenbergy, and Ben Wernette. Initial Risk Inventory for Commercial Scale Storage Sites. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1905531.

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Ploeger, S. K., M. J. Nollet, M. Sawada, and A. Abo El Ezz. Inventory models for regional scale natural hazards risk assessment. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2018. http://dx.doi.org/10.4095/308352.

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Awadalla, N. G. A risk management approach to nuclear waste inventory versus storage capacity. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/332194.

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Budzich, Jeffrey. PR-685-184506-R01 Development of Risk Assessment Procedures and Tools. Pipeline Research Council International, Inc. (PRCI), 2020. http://dx.doi.org/10.55274/r0011668.

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Evaluating risks for hydrotechnical threats at pipeline waterway crossings is important to maintaining pipeline integrity. Establishing standards and best practices for evaluating the risks associated with scour, bank erosion, and channel avulsion is essential to developing a consistent process that can be applied across a network of pipeline crossings and provide data to make decisions about prioritizing mitigation and monitoring. A multi-step process including inventory, screening, desktop analysis, and site visit can be applied to compile regional and local data from existing sources as wel
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Tesauro, Jason, and Jason Tesauro. Inventory of bog turtles for the Appalachian National Scenic Trail. National Park Service, 2025. https://doi.org/10.36967/2308249.

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Phase I and Phase III Bog Turtle Surveys on three Appalachian National Scenic Trail (APPA) tracts were conducted in formerly grazed rich sloping fen and calcareous wet meadow. Substantial areas of the core bog turtle habitat are colonized by native and nonnative shrubs and, to some extent, eastern red cedar. Manual chemical treatment of encroaching woody vegetation is recommended and should be adequate for maintaining desirable bog turtle habitat at this site. Grazing is not recommended for the bog turtle habitat; soil saturation is generally low (from prior agricultural drainage), which incre
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Hobbs, T. E., J. M. Journeay, A. S. Rao, et al. Scientific basis of Canada's first public national seismic risk model. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330927.

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Natural Resources Canada, in partnership with the Global Earthquake Model Foundation, has prepared a public Canadian Seismic Risk Model to support disaster risk reduction efforts across industry and all levels of government, and to aid in Canada's adoption of the Sendai Framework for Disaster Risk Reduction. Developing this model has involved the creation of a national exposure inventory, Canadian specific fragility and vulnerability curves, and adjustment of the Canadian Seismic Hazard Model which forms the basis for the seismic provisions of the National Building Code of Canada. Using the Gl
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Budzich, Jeffrey. PR-685-184506-R09 Improve Upon Existing Tools to Estimate Hydrotechnical Concerns. Pipeline Research Council International, Inc. (PRCI), 2023. http://dx.doi.org/10.55274/r0012249.

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Evaluating risks for hydrotechnical threats at pipeline waterway crossings is important to maintaining pipeline integrity. Establishing standards and best practices for evaluating the risks associated with scour, bank erosion, and channel avulsion is essential to developing a consistent process that can be applied across a network of pipeline crossings and provide data to make decisions about prioritizing mitigation and monitoring. A specific detailed multi-step process with support from improved evaluation tools, including a pilot platform, that incorporates inventory, screening, desktop anal
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Herring, Theodore, Justin Tweet, and Vincent Santucci. Wind Cave National Park: Paleontological resource inventory (public version). National Park Service, 2023. http://dx.doi.org/10.36967/2299620.

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Wind Cave National Park (WICA), the first cave in the world to become a national park, is famous for the park’s namesake feature. Wind Cave, named for the noticeable wind-flow patterns observed as air moves in and out of the natural cave entrance, is currently the third longest cave system in the United States and seventh longest in the world. Wind Cave formed when groundwater dissolved buried layers of the fossiliferous Madison Limestone, which were deposited during the Mississippian subperiod approximately 359 to 347 million years ago. In addition to the Madison Limestone, several other form
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Dodd, Hope, David Peitz, Gareth Rowell, et al. Protocol for Monitoring Fish Communities in Small Streams in the Heartland Inventory and Monitoring Network. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2284726.

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Fish communities are an important component of aquatic systems and are good bioindicators of ecosystem health. Land use changes in the Midwest have caused sedimentation, erosion, and nutrient loading that degrades and fragments habitat and impairs water quality. Because most small wadeable streams in the Heartland Inventory and Monitoring Network (HTLN) have a relatively small area of their watersheds located within park boundaries, these streams are at risk of degradation due to adjacent land use practices and other anthropogenic disturbances. Shifts in the physical and chemical properties of
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Vine, Edward, and Evan, Chen, Allan Mills. Energy efficiency and renewable energy options for risk management and insurance loss reduction: An inventory of technologies, research capabilities, and research facilities at the U.S. Department of Energy's National Laboratories. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/6397.

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