Sources of metals and sulfur in the mineral deposits of central Idaho, USA

A variety of mineral deposits occur in the Paleozoic sedimentary rocks and Late Cretaceous granitic rocks of central Idaho. The main objective of this project is to identify the sources of metals and sulfur in central Idaho ores. Lead isotope compositions of various crustal rocks were determined and compared with the ore lead composition in order to trace sources of lead, and by inference other metals. Sulfur isotope compositions of various sulfide minerals were also determined to trace the sources of sulfur and to explore the coupling or decoupling of metal and sulfur sources. ^ On the basis of lead and sulfur isotope compositions, two groups of ores are recognized: a sedimentary group and an igneous group. The sedimentary group ores are characterized by radiogenic lead and heavy sulfur typical of upper crustal rocks. The sedimentary group ores were formed by meteoric water-dominated hydrothermal systems that leached metals and sulfur from host Paleozoic sedimentary rocks and the underlying Precambrian crystalline basement rocks. The igneous group ores can be divided into two types, the Carrietown-type, and the non Carrietown-type. The Carrietown-type ores are isotopically different from their host granites and are characterized by low uranogenic lead isotope ratios (206Pb/204Pb and 207Pb/ 204Pb) and variable thorogenic lead isotope ratios (208Pb/ 204Pb) typical of lower crustal rocks. The non Carrietown-type ores are similar to host granites and are more radiogenic in their uranogenic lead isotope ratios when compared to the Carrietown-type ores. The differences in the lead isotope compositions of the igneous group ores are attributed to two different phases of magmatic activity. The magmatic phase exposed on the surface involved melting of shallow crustal Precambrian crystalline rocks as well as mid/lower crustal rocks while the underlying phase was derived by melting of mid/lower crustal rocks only. Igneous group ores have both light and heavy sulfur associated with them and it is a function of interaction of hydrothermal fluids with Paleozoic sedimentary rocks. ^ Paleozoic sedimentary rocks and Precambrian basement rocks are the sources of radiogenic lead, and the granites are the sources of light sulfur. Heavy sulfur comes almost entirely from Paleozoic sedimentary rocks. ^

A framework for automatic feature extraction from airborne light detection and ranging data

Recent advances in airborne Light Detection and Ranging (LIDAR) technology allow rapid and inexpensive measurements of topography over large areas. Airborne LIDAR systems usually return a 3-dimensional cloud of point measurements from reflective objects scanned by the laser beneath the flight path. This technology is becoming a primary method for extracting information of different kinds of geometrical objects, such as high-resolution digital terrain models (DTMs), buildings and trees, etc. In the past decade, LIDAR gets more and more interest from researchers in the field of remote sensing and GIS. Compared to the traditional data sources, such as aerial photography and satellite images, LIDAR measurements are not influenced by sun shadow and relief displacement. However, voluminous data pose a new challenge for automated extraction the geometrical information from LIDAR measurements because many raster image processing techniques cannot be directly applied to irregularly spaced LIDAR points. ^ In this dissertation, a framework is proposed to filter out information about different kinds of geometrical objects, such as terrain and buildings from LIDAR automatically. They are essential to numerous applications such as flood modeling, landslide prediction and hurricane animation. The framework consists of several intuitive algorithms. Firstly, a progressive morphological filter was developed to detect non-ground LIDAR measurements. By gradually increasing the window size and elevation difference threshold of the filter, the measurements of vehicles, vegetation, and buildings are removed, while ground data are preserved. Then, building measurements are identified from no-ground measurements using a region growing algorithm based on the plane-fitting technique. Raw footprints for segmented building measurements are derived by connecting boundary points and are further simplified and adjusted by several proposed operations to remove noise, which is caused by irregularly spaced LIDAR measurements. To reconstruct 3D building models, the raw 2D topology of each building is first extracted and then further adjusted. Since the adjusting operations for simple building models do not work well on 2D topology, 2D snake algorithm is proposed to adjust 2D topology. The 2D snake algorithm consists of newly defined energy functions for topology adjusting and a linear algorithm to find the minimal energy value of 2D snake problems. Data sets from urbanized areas including large institutional, commercial, and small residential buildings were employed to test the proposed framework. The results demonstrated that the proposed framework achieves a very good performance. ^

The impact of eliminating extraneous sound and light on students' achievement: An empirical study

The impact of eliminating extraneous sound and light on students’ achievement was investigated under four conditions: Light and Sound controlled, Sound Only controlled, Light Only controlled and neither Light nor Sound controlled. Group, age and gender were the control variables. Four randomly selected groups of high school freshmen students with different backgrounds were the participants in this study. Academic achievement was the dependent variable measured on a pretest, a posttest and a post-posttest, each separated by an interval of 15 days. ANOVA was used to test the various hypotheses related to the impact of eliminating sound and light on student learning. Independent sample T tests on the effect of gender indicated a significant effect while age was non- significant. Follow up analysis indicated that sound and light are not potential sources of extraneous load when tested individually. However, the combined effect of sound and light seems to be a potential source of extrinsic load. The findings revealed that the performance of the Sound and Light controlled group was greater during the posttest and post-posttest. The overall performance of boys was greater than that of girls. Results indicated a significant interaction effect between group and gender on treatment subjects. However gender alone was non-significant. Performance of group by age had no significant interaction and age alone was non-significant in the posttest and post-posttest. Based on the results obtained sound and light combined seemed to be the potential sources of extraneous load in this type of learning environment. This finding supports previous research on the effect of sound and light on learning. The findings of this study show that extraneous sound and light have an impact on learning. These findings can be used to design better learning environments. Such environments can be achieved with different electric lighting and sound systems that provide optimal color rendering, low glare, low flicker, low noise and reverberation. These environments will help people avoid unwanted distraction, drowsiness, and photosensitive behavior.