Measure-correlate-predict (MCP) algorithms are used to predict the wind resource at target sites for wind power development. This paper describes some of the MCP approaches found in the literature and then compares the performance of four of them, using a common set of data from a variety of sites (complex terrain, coastal, offshore). The algorithms that are compared include a linear regression...

in the present study, air quality analyses for ozone (o3) were conducted in ahvaz, a city in the south of iran. the measurements were taken from 2009 through 2010 in two different locations to prepare average data in the city. relations between the air pollutant and some meteorological parameters were calculated statistically using the daily average data. the wind data (velocity, direction), re...

introduction: the development of an appropriate model for the quality control of an industrial wastewater treatment system can save the time as well as the cost. this study was performed to determine an appropriate model in order to predict the cod and tkn parameters by bod5 and nh4+ in the meybod industrial estate waste water treatment plant (wwtp). methods: this descriptive – analytical study...

the use of remote sensing techniques as a suitable solution to estimate the levels of species diversity is of high importance for the sustainable management of forests. in order to investigate the potential of using sensor data from landsat 7 etm+ to estimate species diversity in the zagros forests, digital data related to the august 7, 2002 from forests in the qalajeh kermanshah province were ...

the objectives of this study were to identify a suitable mathematical model for describing the growth curve of baluchi sheep based on monthly records of live weight from birth to yearling; and to evaluate the efficacies of nonlinear mixed effect model (nlmm) and the nonlinear fixed effect model (nlm) methodologies. growth models were fitted to a total of 16,650 weight–age data belonging to 2071...

A new probability distribution is proposed in this paper. This has support on the interval and was obtained after transforming random variable with exponential distribution. The mode, quantile function, median, ordinary moments density function belongs to family of distributions are demonstrated. maximum likelihood method used obtain parameter estimate. regression model for median also proposed...

in the present study, the energetic and economic modeling of lentil and chickpea production in esfahan province of iran was conducted using adaptive neuro-fuzzy inference system (anfis) and linear regression. data were taken by interviewing and visiting of 140 lentil farms and 110 chickpea farms during 2014-2015 production period. the results showed that the yield and total energy consumption w...