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Salvaging Wasted Waters for Desert-Household GardeningFink, D. H., Ehrler, W. L. 15 April 1978 (has links)
From the Proceedings of the 1978 Meetings of the Arizona Section - American Water Resources Assn. and the Hydrology Section - Arizona Academy of Science - April 14-15, 1978, Flagstaff, Arizona / With the objective of determining if sufficient water would be salvaged by a typical desert, urban-household from normally wasted sources associated with the lot and household to adequately irrigate a garden and orchard, a 2000 sq ft house on a typical one fifth acre lot in three cities having climates similar to Phoenix, Tucson, or Prescott, Arizona was hypothesized and the amount of water available for yard watering calculated, provided that (1) only rainfall was available, (2) rainfall-runoff from covered areas associated with or adjacent to the lot was salvaged (roof, street, alley etc.), (3) gray-water from the household was utilized, (4) a portion of the lot was waterproofed to concentrate the runoff on the untreated portion, and (5) various combinations of the above were utilized to increase the amount of available water. It is demonstrated that these sources could be used singly or in combination to obtain the required amount of water with the actual amount available depending upon the precipitation, runoff and runon areas, runoff efficiency of the contributing area, and the number of people in the household. A number of horticultural plants are suggested that should best fit such an irregular irrigation scheme.
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Rainfall-Runoff Relationships for a Mountain Watershed in Southern ArizonaMyhrman, M., Cluff, C. B., Putnam, F. 15 April 1978 (has links)
From the Proceedings of the 1978 Meetings of the Arizona Section - American Water Resources Assn. and the Hydrology Section - Arizona Academy of Science - April 14-15, 1978, Flagstaff, Arizona / A network of rain gauges and two recorder -equipped flumes were installed near the head of Cottonwood Canyon on Mt. Hopkins in the Santa Rita Mountains pursuant to a water development study for the Smithsonian Institution's Mt. Hopkins Astrophysical Observatory. The watershed is generally characterized by steep slopes, a dense evergreen woodland cover predominated by several species of oaks, isolated bedrock exposures and talus chutes. The watershed for the lower flume site comprises about 145 acres (58.60 ha) with an elevation range from about 6775 to 8580 feet (2,065 to 2,615 m). Rainfall-runoff measurements were made during the summer and fall of 1977. A runoff efficiency of 0.56 percent was calculated for the lower-flume watershed. However, since physical evidence of surface flow was found only in side drainages receiving runoff from culverts located along the Mt. Hopkins access road, a second calculation was made, using only the total area of contributing road surface as the watershed area. This yielded a runoff efficiency of 27.0 percent. The latter value, adjusted for infiltration on the slopes below the culverts, agrees well with measured efficiencies for compacted-earth water harvesting catchments. Based on the above, recommendations were made for developing a water supply system using the access road, modified to increase its effectiveness, as a water harvesting system and having two surface reservoirs for storage. A computer model was used to test the capability of the system to meet the projected water needs of the observatory.
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Développement des méthodes génériques d'analyses multi-variées pour la surveillance de la qualité du produit / Development of multivariate analysis methods for the product quality predictionMelhem, Mariam 20 November 2017 (has links)
L’industrie microélectronique est un domaine compétitif, confronté de manière permanente à plusieurs défis. Pour évaluer les étapes de fabrication, des tests de qualité sont appliqués. Ces tests étant discontinus, une défaillance des équipements peut causer une dégradation de la qualité du produit. Des alarmes peuvent être déclenchées pour indiquer des problèmes. D’autre part, on dispose d’une grande quantité de données des équipements obtenues à partir de capteurs. Une gestion des alarmes, une interpolation de mesures de qualité et une réduction de données équipements sont nécessaires. Il s’agit dans notre travail à développer des méthodes génériques d’analyse multi-variée permettant d’agréger toutes les informations disponibles sur les équipements pour prédire la qualité de produit en prenant en compte la qualité des différentes étapes de fabrication. En se basant sur le principe de reconnaissance de formes, nous avons proposé une approche pour prédire le nombre de produits restant à produire avant les pertes de performance liée aux spécifications clients en fonction des indices de santé des équipement. Notre approche permet aussi d'isoler les équipements responsables de dégradation. En plus, une méthodologie à base de régression régularisée est développée pour prédire la qualité du produit tout en prenant en compte les relations de corrélations et de dépendance existantes dans le processus. Un modèle pour la gestion des alarmes est construit où des indices de criticité et de similarité sont proposés. Les données alarmes sont ensuite utilisées pour prédire le rejet de produits. Une application sur des données industrielles provenant de STMicroelectronics est fournie. / The microelectronics industry is a highly competitive field, constantly confronted with several challenges. To evaluate the manufacturing steps, quality tests are applied during and at the end of production. As these tests are discontinuous, a defect or failure of the equipment can cause a deterioration in the product quality and a loss in the manufacturing Yield. Alarms are setting off to indicate problems, but periodic alarms can be triggered resulting in alarm flows. On the other hand, a large quantity of data of the equipment obtained from sensors is available. Alarm management, interpolation of quality measurements and reduction of correlated equipment data are required. We aim in our work to develop generic methods of multi-variate analysis allowing to aggregate all the available information (equipment health indicators, alarms) to predict the product quality taking into account the quality of the various manufacturing steps. Based on the pattern recognition principle, data of the degradation trajectory are compared with health indices for failing equipment. The objective is to predict the remaining number of products before loss of the performance related to customer specifications, and the isolation of equipment responsible for degradation. In addition, regression- ased methods are used to predict the product quality while taking into account the existing correlation and the dependency relationships in the process. A model for the alarm management is constructed where criticality and similarity indices are proposed. Then, alarm data are used to predict the product scrap. An application to industrial data from STMicroelectronics is provided.
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INVESTIGATION OF CORN YIELD IMPROVEMENT FOLLOWING CEREAL RYE USING STARTER NITROGEN FERTILIZERHouston L Miller (7830965) 20 November 2019 (has links)
Cereal rye (CR), the most common and effective nitrogen (N) scavenging
cover crop option in the Midwest, is often utilized in cropping systems to
reduce nitrate loss for environmental benefits. To increase environmental
efficiency in Midwest corn cropping systems, we must increase the overall
adoption of CR. However, due to the yield reduction potential (6%) for corn
planted after CR termination, CR is primarily recommended before soybean. To
increase CR adoption, we must develop adaptive fertilizer management practices
that achieve competitive grain yields relative to cropping systems where CR is
not adopted. Therefore, the objectives of this study are to determine (1) the
effect of CR and starter nitrogen rate on corn growth and nitrogen content. (2)
the optimum starter nitrogen rate to achieve agronomic optimum corn yield
following CR. (3) the impact of phosphorus (P) at starter on plant growth,
nitrogen content, and yield with the inclusion of CR. For our study, five
starter N rates were applied in a 5x5 cm band to both CR and non-CR plots,
concentrations ranged from 0-84 kg N ha<sup>-1 </sup>in 28 kg N ha<sup>-1</sup>
intervals. Total N applied was the same for each treatment, relative to its
location, and was split between starter N at planting and sidedress applied at
growth stage V6 relatively. Although CR termination took place at least two
weeks before planting, CR decreased corn grain yield at one of three locations
by an average of 8%, nitrogen recovery efficiency (NRE) by 27%, and R6 total N content
by 23%, relative to the conventional control (non-CR 0N), when no starter N was
applied. At one of three locations, starter N rates of 56 kg N ha<sup>-1</sup>,
56 kg N ha<sup>-1 </sup>plus 17 kg P ha<sup>-1</sup>, and 84 kg N ha<sup>-1</sup>
increased corn grain yield, in CR plots, and 56 kg N ha<sup>-1</sup> plus 17 kg
P ha<sup>-1</sup> increased corn grain yield in non-CR plots. Phosphorus increased
corn grain N content at growth stage R6 in one of three locations and did not
impact corn grain yield at all locations. We conclude that the inclusion of
starter N at planting has the potential to increase agronomic productivity in
CR corn cropping systems in soil environments with a high capacity to
mineralize soil N. However, further research is required to refine our starter
N results to find an optimum starter N rate to apply before planting corn
following CR.
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