Knowledge Core Collection:https://hdl.handle.net/11681/465932024-03-29T09:16:44Z2024-03-29T09:16:44ZRisk-based prioritization of Operational Condition Assessments : Trinity River and Willamette River case studiesBrown, Willie H.Richards, John P.Gallarno, George E.Morey, ChristopherRice, Titus L.Olszewski, Jennifer M.https://hdl.handle.net/11681/483522024-03-27T09:01:40Z2024-03-01T00:00:00ZTitle: Risk-based prioritization of Operational Condition Assessments : Trinity River and Willamette River case studies
Authors: Brown, Willie H.; Richards, John P.; Gallarno, George E.; Morey, Christopher; Rice, Titus L.; Olszewski, Jennifer M.
Abstract: The US Army Corps of Engineers (USACE) operates, maintains, and manages over 700 dams and 4,000 miles of levees, providing approximately $257 billion worth of economic benefit to the Nation. USACE employs the Operational Condition Assessment (OCA) process to understand the condition of those assets and allocate resources to minimize risk associated with performance degradation. Understanding risk in flood risk management (FRM) assets requires an understanding of consequence of asset failure from a systemwide FRM watershed perspective and an understanding of likelihood of degradation based on the condition of the low-level components derived from OCA ratings. This research demonstrates a case-study application of a scalable methodology to model the likelihood of a dam performing as expected given the state of its gates and their components. The research team combines this likelihood of degradation with consequences generated by the application of designed simulation experiments with hydrological models to develop risk measures. These risk measures can be developed for all FRM gate assets in order to enable traceable, consistent resource allocation decisions. Two case study applications are provided.
Description: Special Report2024-03-01T00:00:00ZRotorcraft Resupply Site Selection (RRSS) v1.0 and the USACE Model Interface Platform (UMIP) : documentation and user’s guideBrown, Dustin T.Hiett, Matthew D.Cook, Samantha N.Pasley, Dylan A.Pham, Melissa V.LeGrand, Sandra L.https://hdl.handle.net/11681/479082023-11-22T10:01:31Z2023-11-01T00:00:00ZTitle: Rotorcraft Resupply Site Selection (RRSS) v1.0 and the USACE Model Interface Platform (UMIP) : documentation and user’s guide
Authors: Brown, Dustin T.; Hiett, Matthew D.; Cook, Samantha N.; Pasley, Dylan A.; Pham, Melissa V.; LeGrand, Sandra L.
Abstract: This research effort aimed to create an operational prototype of the Geomorphic Oscillation Assessment Tool (GOAT) v1.0, developed by the US Army Engineer Research and Development Center, as a part of the US Army Corps of Engineers’ Model Interface Platform (UMIP). This platform is a web-based software that allows for easy and rapid construction and deployment of spatial planning and analysis capabilities. The prototype tool in UMIP represents the science embedded in GOAT while providing a user-friendly interface for interaction and spatially referenced result viewing. It also includes user access control, data storage, and integration with a long-term data management system, enabling users to access, share, and interrogate past analyses through profile management and result persistence. The prototype tool incorporates surface roughness into terrain suitability assessment tools used in the forward arming and refueling point (FARP) site-selection process.
Description: Special Report2023-11-01T00:00:00ZEstablishing a series of dust event case studies for East AsiaLetcher, Theodore W.Sparrow, Kent H.LeGrand, Sandra L.https://hdl.handle.net/11681/478242023-11-01T09:05:32Z2023-10-01T00:00:00ZTitle: Establishing a series of dust event case studies for East Asia
Authors: Letcher, Theodore W.; Sparrow, Kent H.; LeGrand, Sandra L.
Abstract: Dust aerosols have a wide range of effects on air quality, health, land-management decisions, aircraft operations, and sensor data interpretations. Therefore, the accurate simulation of dust plume initiation and transport is a priority for operational weather centers. Recent advancements have improved the performance of dust prediction models, but substantial capability gaps remain when forecasting the specific location and timing of individual dust events, especially extreme dust outbreaks. Operational weather forecasters and US Army Engineer Research and Development Center (ERDC) researchers established a series of reference case study events to enhance dust transport model evaluation. These reference case studies support research to improve modeled dust simulations, including efforts to increase simulation accuracy on when and where dust is lofted off the ground, dust aerosols transport, and dust-induced adverse air quality issues create hazardous conditions downstream. Here, we provide detailed assessments of four dust events for Central and East Asia. We describe the dust-event lifecycle from onset to end (or when dust transports beyond the area of interest) and the synoptic and mesoscale environ-mental conditions governing the process. Analyses of hourly reanalysis data, spaceborne lidar and aerosol optical depth retrievals, upper-air soundings, true-color satellite imagery, and dust-enhanced false-color imagery supplement the discussions.
Description: Special Report2023-10-01T00:00:00ZMarine bioinvasion risk : review of current ecological modelsAltman, SafraPowell, Krystyna T.Kress, Marin M.https://hdl.handle.net/11681/478202024-02-29T23:28:17Z2023-10-01T00:00:00ZTitle: Marine bioinvasion risk : review of current ecological models
Authors: Altman, Safra; Powell, Krystyna T.; Kress, Marin M.
Abstract: This special report describes the first phase of developing an ecological model to inform marine bioinvasion risks in the United States. The project responds to the needs of the US Army Corps of Engineers (USACE) Aquatic Nuisance Species Research Program, or ANSRP, which addresses all problematic invasive aquatic species affecting the nation’s waterways, infrastructure, and associated resources, and the needs of the USACE navigation and dredging programs. Multiple port-deepening studies are either in progress or under consideration, and all must address ecological risk. Understanding whether and how increased dredging contributes to increased marine bioinvasion risk allows risk mitigation during early planning phases. Considering the potential impacts of future environmental change, such as changing sea level, ocean temperature, and ocean chemistry, will further strengthen planning for marine bioinvasion risk. Therefore, this special report documents current ecological modeling approaches to marine bioinvasion risk models and identifies models that incorporate shipping as a vector. The special report then presents a conceptual model and identifies historic vessel position data from the Automatic Identification System, or AIS, now available for most commercial and some recreational vessels around the United States, as a key source for future model development and testing.
Description: Special Report2023-10-01T00:00:00Z