493 research outputs found

    The Synthesis of Ethyl Alcohol from Acetylene

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    Introduction. Ethyl Alcohol, its ordinary formation and physical properties. Acetylene and its properties. Its formation from calcium carbide

    Remote sensing of physiographic soil units of Bennett County, South Dakota

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    A study was conducted in Bennett County, South Dakota, to establish a rangeland test site for evaluating the usefulness of ERTS data for mapping soil resources in rangeland areas. Photographic imagery obtained in October, 1970, was analyzed to determine which type of imagery is best for mapping drainage and land use patterns. Imagery of scales ranging from 1:1,000,000 to 1.20,000 was used to delineate soil-vegetative physiographic units. The photo characteristics used to define physiographic units were texture, drainage pattern, tone pattern, land use pattern and tone. These units will be used as test data for evaluating ERTS data. The physiographic units were categorized into a land classification system. The various categories which were delineated at the different scales of imagery were designed to be useful for different levels of land use planning. The land systems are adequate only for planning of large areas for general uses. The lowest category separated was the facet. The facets have a definite soil composition and represent different soil landscapes. These units are thought to be useful for providing natural resource information needed for local planning

    LANDSAT-1 data, its use in a soil survey program

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    The following applications of LANDSAT imagery were investigated: assistance in recognizing soil survey boundaries, low intensity soil surveys, and preparation of a base map for publishing thematic soils maps. The following characteristics of LANDSAT imagery were tested as they apply to the recognition of soil boundaries in South Dakota and western Minnesota: synoptic views due to the large areas covered, near-orthography and lack of distortion, flexibility of selecting the proper season, data recording in four parts of the spectrum, and the use of computer compatible tapes. A low intensity soil survey of Pennington County, South Dakota was completed in 1974. Low intensity inexpensive soil surveys can provide the data needed to evaluate agricultural land for the remaining counties until detailed soil surveys are completed. In using LANDSAT imagery as a base map for publishing thematic soil maps, the first step was to prepare a mosaic with 20 LANDSAT scenes from several late spring passes in 1973

    Remote sensing techniques for mapping range sites and estimating range yield

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    Image interpretation procedures for determining range yield and for extrapolating range information were investigated for an area of the Pine Ridge Indian Reservation in southwestern South Dakota. Soil and vegetative data collected in the field utilizing a grid sampling design and digital film data from color infrared film and black and white films were analyzed statistically using correlation and regression techniques. The pattern recognition techniques used were K-class, mode seeking, and thresholding. The herbage yield equation derived for the detailed test site was used to predict yield for an adjacent similar field. The herbage yield estimate for the adjacent field was 1744 lbs. of dry matter per acre and was favorably compared to the mean yield of 1830 lbs. of dry matter per acre based upon ground observations. Also an inverse relationship was observed between vegetative cover and the ratio of MSS 5 to MSS 7 of ERTS-1 imagery

    Use of remote sensing techniques for inventorying and planning utilization of land resources in South Dakota

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    The basic procedures for interpreting remote sensing imagery to rapidly develop general soils and land use inventories were developed and utilized in Pennington County, South Dakota. These procedures and remote sensing data products were illustrated and explained to many user groups, some of whom are interested in obtaining similar data. The general soils data were integrated with land soils data supplied by the county director of equalization to prepare a land value map. A computer print-out of this map indicating a land value for each quarter section is being used in tax reappraisal of Pennington County. The land use data provided the land use planners with the present use of land in Pennington County. Additional uses of remote sensing applications are also discussed including tornado damage assessment, hail damage evaluation, and presentation of soil and land value information on base maps assembled from ERTS-1 imagery

    On the construction and sustainability of happiness: Where does my happiness come from?

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    Problem. Happiness is attributed to three sources: genetics and personality (50%), the situation (10%), and voluntary behaviors (40%) (Lyubomirsky, 2008). Few studies exist on the subject of happiness factors, their duration, and how these factors may relate to Lyubomirsky\u27s (2008) three sources of happiness, the purpose of this study. Method. Three hundred and forty-seven undergraduates listed what they felt contributed to their overall happiness. Then they indicated the three items they considered the most significant contributors. Finally, participants reported the duration (e.g., minutes, hours, days, weeks, or years) of happiness caused by each of these items. Results and Discussion. The number of happiness items participants expressed ranged from 0 to 77 (M = 28.58; SD = 13.74). The item listed most often was family (20.27%) followed by friends (15.18%). Most people gave priority to items that made them happy for years. As priority of the items decreased so did duration suggesting that people place greater value on factors that lead to prolonged levels of happiness. These findings have implications for happiness construction and sustainability as increasing individuals\u27 happiness levels may involve seeking out more socially-beneficial--as well as longer-lasting--resources

    Redefining happiness: Is the happiness pie literature missing some slices?

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    This study examined the relationships among happiness-related factors, as well as the relation between the antecedents of happiness (e.g., an individual\u27s personality, situations, and voluntary behavior) and self-reported individual differences. Three hundred forty-seven undergraduates completed measures of happiness, positive affect, subjective well-being, contentment, self-compassion, depression, neuroticism, mindfulness, and openness to experience. Participants also indicated the percentage of their happiness due to personality, the situation, and voluntary behaviors. The results corroborate evidence for happiness being most indicative of a multidimensional construct, as contentment, subjective well-being, and happiness were highly related. Additionally, in spite of research showing that almost half of our happiness is determined by voluntary actions, participants, on average, divided the happiness pie into thirds, attributing their happiness to personality (30.36%), the situation (36.88%), and voluntary actions (32.7%)
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