Monitoring Winter Flow Conditions on the Ivishak River, Alaska

The Sagavanirktok River, a braided river on the Alaska North Slope, flows adjacent to the trans-Alaska pipeline for approximately 100 miles south of Prudhoe Bay. During an unprecedented flooding event in mid-May 2015, the pipeline was exposed in an area located approximately 20 miles south of Prudhoe Bay. The Ivishak River is a main tributary of the Sagavanirktok River, but little is known about its water flow characteristics and contribution to the Sagavanirktok River, especially in winter and during spring breakup. To gather this information, we installed water level sensors on two main tributaries of the Ivishak River (Upper Ivishak and Saviukviayak rivers), early in winter season 2016–2017, in open-water channels that showed promise as locations for long-term gauging stations. Our ultimate goal was to find a location for permanent deployment of water level sensors. By February, the first sites chosen were ice covered, so two additional sensors, one on each river, were deployed in different locations. Some of the sensors were lost (i.e., carried away by the current or buried under a thick layer of sediments). Water level data gathered from the sensors showed a maximum change of 1.07 m. Winter discharge measurements indicate a 44% reduction between February and April 2017. A summer discharge measurement shows a 430% increase from winter to summer

Chromosome positioning is largely unaffected in lymphoblastoid cell lines containing emerin or A-type lamin mutations

Gene-poor human chromosomes are reproducibly found at the nuclear periphery in proliferating cells. There are a number of inner nuclear envelope proteins that may have roles in chromosome location and anchorage, e.g. emerin and A-type lamins. In the last decade, a number of diseases associated with tissue degeneration and premature aging have been linked with mutations in lamin A or emerin. These are termed laminopathies, withmutations in emerin causing Emery–Dreifuss muscular dystrophy. Despite highly aberrant nuclear distributions of A-type lamins and emerin in lymphoblastoid cell lines derived from patients with emerin or lamin A mutations, little or no change in chromosome location was detected

Performance of the Fully Digital FPGA-based Front-End Electronics for the GALILEO Array

In this work we present the architecture and results of a fully digital Front End Electronics (FEE) read out system developed for the GALILEO array. The FEE system, developed in collaboration with the Advanced Gamma Tracking Array (AGATA) collaboration, is composed of three main blocks: preamplifiers, digitizers and preprocessing electronics. The slow control system contains a custom Linux driver, a dynamic library and a server implementing network services. The digital processing of the data from the GALILEO germanium detectors has demonstrated the capability to achieve an energy resolution of 1.53 per mil at an energy of 1.33 MeV.Comment: 5 pages, 6 figures, preprint version of IEEE Transactions on Nuclear Science paper submitted for the 19th IEEE Real Time Conferenc

Constraint Force Equation Methodology for Modeling Multi-Body Stage Separation Dynamics

This paper discusses a generalized approach to the multi-body separation problems in a launch vehicle staging environment based on constraint force methodology and its implementation into the Program to Optimize Simulated Trajectories II (POST2), a widely used trajectory design and optimization tool. This development facilitates the inclusion of stage separation analysis into POST2 for seamless end-to-end simulations of launch vehicle trajectories, thus simplifying the overall implementation and providing a range of modeling and optimization capabilities that are standard features in POST2. Analysis and results are presented for two test cases that validate the constraint force equation methodology in a stand-alone mode and its implementation in POST2

National Petroleum Reserve – Alaska (NPR-A) Watershed Hydrology

During a five-year period, which represents the entire project span, the research team performed discharge measurements on seven gaging stations distributed on the National Petroleum Reserve- Alaska (NPR-A), an area of approximately 23 million acres that extends from the north side of the Brooks Range to the Arctic Ocean. Specifically, 225 discharge measurements were taken during that period. In addition, records of air temperature and rainfall, as well as wind speed and wind direction from stations that collected such data were analyzed. The air temperature data indicate that the entire region followed a pronounced warming trend, ending with the 2010/2011 winter, which was the warmest winter recorded at the stations. Rainfall data suggest a trend in increasing precipitation during the summer months from the coastal plain to the foothill area. Unusually dry conditions were experienced over the entire area in 2007 and in 2011. The overall highest mean wind speed was recorded in June at the two stations where wind data were available; the lowest mean wind speed was recorded in December at one station and in March at the other station. Wind roses indicate two main wind directions—roughly from the northeast and southwest—with winds from the northeast predominant.List of Figures ................................................................................................................................ iii List of Tables ................................................................................................................................. iv Acknowledgments and Disclaimer ................................................................................................. v Abstract .......................................................................................................................................... vi CHAPTER 1 Introduction ........................................................................................................... 1 CHAPTER 2 Discharge Measurements ...................................................................................... 3 2.1 Fieldwork ......................................................................................................................... 3 2.2 Data Analysis ................................................................................................................... 7 CHAPTER 3 Meteorological Data ............................................................................................ 10 3.1 Methodology .................................................................................................................. 11 3.2 Results ............................................................................................................................ 11 3.2.1 Rainfall .................................................................................................................... 11 3.2.2 Air Temperature ...................................................................................................... 15 3.2.3 Wind ........................................................................................................................ 20 CHAPTER 4 Information Technology ...................................................................................... 28 4.1 Aquatic Informatics Aquarius Software ......................................................................... 28 4.2 Telemetry Data Retrieval ............................................................................................... 28 4.3 Near-Real-Time Data Delivery Online .......................................................................... 28 4.4 Information Technology Infrastructure .......................................................................... 30 References ..................................................................................................................................... 31 Appendices .................................................................................................................................... 3

Modeling Multibody Stage Separation Dynamics Using Constraint Force Equation Methodology

This paper discusses the application of the constraint force equation methodology and its implementation for multibody separation problems using three specially designed test cases. The first test case involves two rigid bodies connected by a fixed joint, the second case involves two rigid bodies connected with a universal joint, and the third test case is that of Mach 7 separation of the X-43A vehicle. For the first two cases, the solutions obtained using the constraint force equation method compare well with those obtained using industry- standard benchmark codes. For the X-43A case, the constraint force equation solutions show reasonable agreement with the flight-test data. Use of the constraint force equation method facilitates the analysis of stage separation in end-to-end simulations of launch vehicle trajectorie

Hydrological and Meteorological Observations on Seven Streams in the National Petroleum Reserve–Alaska (NPR–A)

This report summarizes the hydrological and meteorological data collected from 2003 to 2017 at 7 stations in the National Petroleum Reserve–Alaska. During an 8-year period, from May 2010 to December 2017, a research team from the University of Alaska Fairbanks, Water and Environmental Research Center, and personnel from the Bureau of Land Management performed 351 discharge measurements and collected and analyzed data on air temperature, rainfall, wind speed, and wind direction at stations distributed on a southwest–northeast transect from the foothills of the Brooks Range to the Arctic Ocean. In general, the air temperature data indicate an evident warming trend for the entire region. Rainfall data suggest a trend in increasing precipitation during the summer months from the coastal plain to the foothills, though there are some exceptions. The overall highest mean monthly wind speed was recorded in February; the overall lowest mean monthly wind speed varied from station to station. Wind roses indicate two main wind directions—approximately from the northeast and southwest—with winds from the northeast predominant at the northern stations and winds from the southwest predominant at the southern stations.List of Figures ................................................................................................................................ iii List of Tables ................................................................................................................................. iv Acknowledgments and Disclaimer ................................................................................................. v Abstract .......................................................................................................................................... vi CHAPTER 1 Introduction ........................................................................................................... 1 CHAPTER 2 Study Area ............................................................................................................. 2 CHAPTER 3 Discharge Measurements ...................................................................................... 3 3.1 Fieldwork ......................................................................................................................... 3 3.2 Data Processing ................................................................................................................ 9 CHAPTER 4 Meteorological Data ............................................................................................ 11 4.1 Methodology .................................................................................................................. 12 4.2 Results ............................................................................................................................ 12 4.2.1 Rainfall .................................................................................................................... 12 4.2.2 Air Temperature ...................................................................................................... 18 4.2.3 Wind ........................................................................................................................ 24 CHAPTER 5 Data Analysis ...................................................................................................... 37 CHAPTER 6 Conclusions and Recommendations.................................................................... 42 References ..................................................................................................................................... 43 Appendices .................................................................................................................................... 4

Impact of Vehicle Flexibility on IRVE-II Flight Dynamics

The Inflatable Re-entry Vehicle Experiment II (IRVE-II) successfully launched from Wallops Flight Facility (WFF) on August 17, 2009. The primary objectives of this flight test were to demonstrate inflation and re-entry survivability, assess the thermal and drag performance of the reentry vehicle, and to collect flight data for refining pre-flight design and analysis tools. Post-flight analysis including trajectory reconstruction outlined in O Keefe3 demonstrated that the IRVE-II Research Vehicle (RV) met mission objectives but also identified a few anomalies of interest to flight dynamics engineers. Most notable of these anomalies was high normal acceleration during the re-entry pressure pulse. Deflection of the inflatable aeroshell during the pressure pulse was evident in flight video and identified as the likely cause of the anomaly. This paper provides a summary of further post-flight analysis with particular attention to the impact of aeroshell flexibility on flight dynamics and the reconciliation of flight performance with pre-flight models. Independent methods for estimating the magnitude of the deflection of the aeroshell experienced on IRVE-II are discussed. The use of the results to refine models for pre-flight prediction of vehicle performance is then described

Hydro-sedimentological Monitoring and Analysis for Material Sites on the Sagavanirktok River

Researchers from the Water and Environmental Research Center at the Institute of Northern Engineering, University of Alaska Fairbanks, are conducting a research project related to sediment transport conditions along the Sagavanirktok River. This report presents tasks conducted from summer 2015 to early winter 2016. Four hydrometeorological stations were installed in early July 2015 on the west bank of the river. The stations are spread out over a reach of approximately 90 miles along the Dalton Highway (from MP 405, the northernmost location, to MP 318, the southernmost location). These stations are equipped with pressure transducers and with air temperature, relative humidity, wind speed, wind direction, barometric pressure, and turbidity sensors. Cameras were installed at each station, and automatic water samplers were deployed during the open-water season. The stations have a telemetry system that allows for transmitting data in near-real time. Discharge measurements were performed three times: twice in July (early and late in the month), and once in mid-September. Measured discharges were in the order of 100 m3/s, indicating that measurements were performed during low flows. Suspended sediment concentrations ranged from 2 mg/l (nearly clear water) to 625 mg/l. The average grain size for suspended sediment from selected samples was 47.8 μm, which corresponds to silt. Vegetation was characterized at 27 plots near the stations. Measurements of basic water quality parameters, performed during winter, indicated no potential issues at the sampled locations. Dry and wet pits were excavated in the vicinity of each station. These trenches will be used to estimate average bedload sediment transport during spring breakup 2016. A change detection analysis of the period 1985–2007 along the area of interest revealed that during the present study period, the river was relatively stable.ABSTRACT ..................................................................................................................................... i LIST OF FIGURES ....................................................................................................................... iv LIST OF TABLES ......................................................................................................................... vi ACKNOWLEDGMENTS ............................................................................................................ vii DISCLAIMER .............................................................................................................................. vii CONVERSION FACTORS, UNITS, WATER QUALITY UNITS, VERTICAL AND HORIZONTAL DATUM, ABBREVIATIONS, AND SYMBOLS ........................................... viii ABBREVIATIONS, ACRONYMS, AND SYMBOLS ................................................................. x 1 INTRODUCTION AND STUDY AREA ............................................................................... 1 2 METHODOLOGY AND EQUIPMENT .............................................................................. 11 2.1 Pit Trenches .................................................................................................................... 12 2.2 Meteorology ................................................................................................................... 13 2.3 Water Level Measurements ............................................................................................ 13 2.4 Runoff............................................................................................................................. 14 2.5 Suspended Sediment ...................................................................................................... 15 2.6 Turbidity ......................................................................................................................... 15 2.7 Substrate and Floodplain Vegetation Survey ................................................................. 16 2.7.1 Site selection ........................................................................................................... 16 2.7.2 Quantifying substrate .............................................................................................. 16 2.7.3 Characterizing vegetation ....................................................................................... 17 3 RESULTS .............................................................................................................................. 19 3.1 Pit Trench Configuration ................................................................................................ 19 3.2 Meteorology ................................................................................................................... 27 3.3 Water Level Observations .............................................................................................. 27 3.4 Runoff............................................................................................................................. 31 3.4.1 Additional runoff observations ............................................................................... 31 3.5 Suspended Sediment ...................................................................................................... 32 3.6 Suspended Sediment Grain-Size Distribution ................................................................ 34 3.7 Turbidity ......................................................................................................................... 35 3.8 Water Quality ................................................................................................................. 37 4 ANALYSIS ........................................................................................................................... 39 4.1 Substrate and Vegetation ................................................................................................ 39 4.1.1 Substrate .................................................................................................................. 39 iii 4.1.2 Vegetation ............................................................................................................... 40 4.2 River Channel Stability .................................................................................................. 42 5 CONCLUSIONS ................................................................................................................... 56 6 REFERENCES ...................................................................................................................... 58 7 APPENDICES ....................................................................................................................... 6

Verification of a Constraint Force Equation Methodology for Modeling Multi-Body Stage Separation

This paper discusses the verification of the Constraint Force Equation (CFE) methodology and its implementation in the Program to Optimize Simulated Trajectories II (POST2) for multibody separation problems using three specially designed test cases. The first test case involves two rigid bodies connected by a fixed joint; the second case involves two rigid bodies connected with a universal joint; and the third test case is that of Mach 7 separation of the Hyper-X vehicle. For the first two cases, the POST2/CFE solutions compared well with those obtained using industry standard benchmark codes, namely AUTOLEV and ADAMS. For the Hyper-X case, the POST2/CFE solutions were in reasonable agreement with the flight test data. The CFE implementation in POST2 facilitates the analysis and simulation of stage separation as an integral part of POST2 for seamless end-to-end simulations of launch vehicle trajectories