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

Investigation of fiber/matrix adhesion: test speed and specimen shape effects in the cylinder test

The cylinder test, developed from the microdroplet test, was adapted to assess the interfacial adhesion strength between fiber and matrix. The sensitivity of cylinder test to pull-out speed and specimen geometry was measured. It was established that the effect of test speed can be described as a superposition of two opposite, simultaneous effects which have been modeled mathematically by fitting two parameter Weibull curves on the measured datas. Effects of the cylinder size and its geometrical relation on the measured strength values have been analyzed by finite element method. It was concluded that the geometry has a direct influence on the stress formation. Based on the results achieved, recommendations were given on how to perform the novel single fiber cylinder test

Some Systems Studies of the Innovation Process (Research- Development-Introduction)

This working paper consists of extracts from research studies of the innovation process, development and introduction, undertaken in the USSR, Hungary and the US$.. They were selected and abstracted by Gennady Dobrov, Peter Vas Zoltan and Robert Randolph as part of their general research on the science of policy analysis. Since these studies are not generally accessible, it has seemed worthwhile to make them available to collaborators in the IIASA Innovation Task, and others, in the form of a working paper. We are grateful to Kan Chen, Vladimir Pokrovsky and Edward Roberts for permission to reproduce their material

Feedup, feedback, and feedforward in curve mid-air 3D gestures

Issuing a mid-air gesture in a three-dimensional space intrinsically suffers for the lack of explicit direct representation of the gesture with which guidance and feedback can be offered. To address this challenge, we decompose the feedback problem into three components: feedup to constantly represent the goal of the gestural task, feedback to respond to what the end user already did related to the initial goal, and feedforward to modify the representation towards the ultimate goal before terminating the gesture production. We exemplify these three components with case studies representing three levels of complexity of Curve Mid-Air 3D Gestures produced in three environments