air pollution is a problem in kathmandu, nepal. particulate matter concentrations often exceed threshold values at which human health is severely affected. the problem is serious since it is in the valley topography wherein the meteorological parameters role is significant. this study addresses the linkages between meteorological processes and air pollution in the lower atmosphere of the kathma...

Bayesian inference is a vital tool for consistent manipulation of the uncertainty that is present in many military scenarios. However, in some highly complex environments, it is hard to write down an analytic form for the likelihood function that underlies Bayesian inference. Approximate Bayesian computation (ABC) algorithms address this difficulty by enabling one to proceed without analyticall...

In this paper, a study of the Doppler Beam Swinging (DBS) technique for horizontal wind estimation using an imaging radar is presented. The primary goal is to quantify effects of temporal and spatial inhomogeneities in the quality of DBS wind estimates. The DBS technique has been extensively applied to Mesosphere-Stratosphere-Troposphere (MST) radars, including boundary layer radars (BLR), to o...

Background: Brucellosis (Malta fever) is a major contagious zoonotic disease, with economic and public health importance. Methods: To assess the effect of meteorological (temperature, rainfall, humidity, and wind) and climate parameters on incidence of brucellosis, brucellosis distribution and meteorological zoning maps of Zanjan Province were prepared using Inverse Distance Weighting (IDW) an...

The relationship between ocean wind vectors and L-band normalized radar cross sections (NRCS) is comprehensively examined to propose an L-band model function by using the Phased-Array L-band Synthetic Aperture Radar (PALSAR) and scatterometer wind data. Based on more than 90,000 match-ups, the L-band NRCS dependence on wind speed, incidence angle, and relative wind direction is modeled for the ...

in this study, climatic parameters are used to evaluate the sensitivity of reference evapotranspiration in isfahan and rasht with two semi-arid and moderate climates using two intelligent methods during 1970-2010. in this research, multi-layer precpetron e (mlp) and gene expression programming (gep) intelligent models are used in order to analyze the sensitivity of reference evapotranspiration ...

A standalone version of the Wind Erosion Prediction System (WEPS) erosion submodel, the Single-event Wind Erosion Evaluation Program (SWEEP), was released in 2007. A limited number of studies exist that have evaluated SWEEP in simulating soil loss subject to different tillage systems under high winds. The objective of this study was to test SWEEP under contrasting tillage systems employed durin...

This paper aims to solve the fault tolerant control problem of a wind turbine benchmark. A hierarchical controller with model predictive pre-compensators, a global model predictive controller and a supervisory controller is proposed. In the model predictive pre-compensator, an extended Kalman Filter is designed to estimate the system states and various fault parameters. Based on the estimation,...

Electrical energy production based on wind power has become the most popular renewable resources in the recent years because it gets reliable clean energy with minimum cost. The major challenge for wind turbines is the electrical and the mechanical failures which can occur at any time causing prospective breakdowns and damages and therefore it leads to machine downtimes and to energy production...