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25 results for “Meteorological Parameter”
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Research ArticleOpen accessIn the abstractStatistical Modelling of Botswana’s Monthly Maximum Wind Speed using a Four-Parameter Kappa DistributionOliver Moses, Bhagabat Prasad ParidaWind speed modelling has been key to many environmental and engineering applications, particularly in environmentally friendly wind power generation to meet energy demands. Efficient assessment of wind speed at different recurrence intervals requires the choice of a suitable statistical distribution and an unbiased method of parameter estimation. This study suggests the use of a four parameter Kappa distribution, with its … …American Journal of Applied Sciences, Vol. 13, Issue 6 · 22 Jun 2016 · 7,552 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Text Removal and Replacement in Scanned Meteorological Thematic MapsAhsan Abdullah, Sohyb Sami Abo Alshamat, Ahmad Bakhashwain, Ahtisham AslamGeo-referenced data is required in many Geographic Information System (GIS) applications and one source of such data being maps. Meteorological maps are color-coded with different regions corresponding to different values of a parameter, parsing the image to convert into data is not very difficult. However, text and different planimetric elements overlaid on the regions in the map makes accurate image … …Journal of Computer Science, Vol. 11, Issue 5 · 18 Aug 2015 · 7,049 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrediction of Sulfur Dioxide (SO2) Concentration Levels from the Mina Al-Fahal Refinery in Oman Using Artificial Neural NetworksSabah A. Abdul-Wahab, Saleh M. Al-AlawiIn this investigation, two Artificial Neural Network (ANN) models were applied for predicting ground-level sulfur dioxide (SO2) in the Sultanate of Oman in order to provide an early warning advisory for the protection of public health. The objective of the first model (Model I) was to use ANN to predict sulfur dioxide (SO2) levels at certain receptors from the Mina … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 7,391 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrediction of the Daily Mean PM10 Concentrations Using Linear ModelsJ. C.M. Pires, F. G. Martins, S. I.V. Sousa et al.The performance of five linear models to predict the daily mean PM10 concentrations was compared. The linear models proposed were: (i) multiple linear regression; (ii) principal component regression; (iii) independent component regression; (iv) quantile regression; and (v) partial least squares regression. The study was based on data from an urban site in Oporto Metropolitan Area and the analysed period was … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 7,136 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Sensitivity Study of the Validation of Three Regulatory Dispersion ModelsKeith D. Harsham, Michael BennettLidar measurements were made of the dispersion of the plume from a coastal industrial plant over three weeks between September 1996 and May 1998, 67 experimental runs were obtained, mostly of 30 min duration, and these were analysed to provide plume parameters (i.e. height, vertical and lateral spreads). These measurements were supplemented by local meteorological measurements at two portable meteorological … …American Journal of Environmental Sciences, Vol. 4, Issue 1 · 29 Feb 2008 · 6,719 accessesView PDFCite
Research ArticleOpen accessIn the abstractSimulation of Thermal Stratification in Urban Man-made LakesJ. Nouri, H. Rahimipour, R. NezakatiChitgar artificial lake, located in the urban District-22 Municipality of Tehran northwest of Tehran, Iran is by volume l0 Million Cubic Meter (MCM), by depth average 10 meters (m.) and by area 225 hectares (ha) as the Iran’s largest man-made lake. The most important water resources of the district, which can support the lake water, are Kan River, municipal runoff, … …American Journal of Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2004 · 7,191 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of Soils Electrical Resistivity using Artificial Neural Network ApproachKpomonè Komla Apaloo-Bara, Adekunlé Akim Salami, Mawugno Koffi Kodjo et al.The knowledge of the ground electrical resistivity is essential to ensure the protection of electrical and telecommunications networks. However, the monitoring of its values is an expensive task which takes long time. Therefore, its prediction is important. This study investigates on predicting soil electrical resistivity using Artificial Neural Networks. Nine sites of our city (Lome, TOGO) were considered. After characterization … …American Journal of Applied Sciences, Vol. 16, Issue 2 · 13 Mar 2019 · 9,522 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvanced Manufacturing for Novel Materials in Industrial Design ApplicationsFrancesco Tamburrino, Antonio Apicella, Raffaella Aversa, Florian Ion Tiberiu PetrescuThe research presented starts with a focus on Smart Materials, or rather materials with properties that react to external stimuli (temperature, electric or magnetic field, pH or mechanical stress, for example) related to the environmental changes, modifying one or some of their own properties (mechanical, electrical, appearance, etc.). Afterward, one category of Smart Materials, Shape Memory Alloys (SMAs), has been … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 30 May 2018 · 8,540 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting of Humidity of Some Selected Stations from the Northern Part of Bangladesh: An Application of SARIMA ModelMd. Moyazzem Hossain, Md. Atikur Rahman, Md. Zahirul Islam, Ajit Kumar MajumderCommunity risk from natural hazards and climate change depends largely on physical and climatic settings of an area, socio-economic condition of a community and the magnitude, duration and consecutiveness of the hazard or change itself. Impacts of climate change can be characterized by increasing temperatures, rainfall, humidity changes and climate related extreme events such as floods, cyclone, droughts, sea level … …American Journal of Environmental Sciences, Vol. 12, Issue 3 · 10 May 2016 · 8,619 accessesView PDFCite
Research ArticleOpen accessIn the abstractGaussian Dispersion Model to Estimate the Dispersion of Particulate Matters (Pm2.5) and Sulfur Dioxide (SO2) Concentrations on Tribal Land, OklahomaDejene Alemayehu, Francine HackettAir quality in most parts of Kay County is good and unlikely to cause major health problems. However, Kaw Nation wants to know if the concentration of Particulate matters (PM2.5) and Sulfur dioxide (SO2) released from power plants, refinery and carbon black plant in Oklahoma reaches the Tribal land at Kanza Travel Plaza, Braman, Kay Co. Oklahoma. Kanza Travel Plaza … …American Journal of Environmental Sciences, Vol. 11, Issue 6 · 8 Dec 2015 · 7,967 accessesView PDFCite