The paper presents an adaptive neuro-fuzzy inference system (ANFIS) based modeling approach to predict the monthly global solar radiation (MGSR) in Bhubaneswar. Comparisons of the predicted and measured value of monthly global solar radiation (GSR) on a horizontal surface are presented. The input parameters of the model used in this paper are sunshine duration, temperature, humidity, clearness ...

Extreme droughts and high temperatures have becomemore frequent in the last two decades, increasing fire risk in the Amazon. The overarching goal of this study is to shed light on the influence of temperature and rainfall on fire occurrence for the 1998–2013 period. We use a Poisson regression to model satellite-based monthly fire counts across the Brazilian Amazon as a function of observed rai...

BACKGROUND In June of 2010, an antenatal ultrasound program to perform basic screening for high-risk pregnancies was introduced at a community health care center in rural Uganda. Whether the addition of ultrasound scanning to antenatal visits at the health center would encourage or discourage potential patients was unknown. Our study sought to evaluate trends in the numbers of antenatal visits ...

For developing countries like Pakistan, the paucity of reliable solar radiation data necessitates the development of empirical models. To develop such a model one could use various parameters. In this study, linear regression models are developed to estimate the monthly average daily global radiation using cloudiness data for Karachi, Pakistan for the period of 20 years (1990-2010). The results...

This paper presents the results of a study that simulates historic average discharges by means of an Artificial Neural Network, within a variety of input data combinations. A cluster of small area watersheds in Eastern Serbia was selected for the study. The input data considered were: climatic data (precipitation, average air temperatures, vapor pressure and air humidity), physiographic, hydrog...

UC Center for Hydrologic Modeling, University of California, Irvine, CA 92697, USA b Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA Department of Earth System Science, University of California, Irvine, CA 92697, USA Department of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA Department of Civil and Environmental Engineering...

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[1] In this study we investigate an event-scale transit time distribution (TTD) for a catchment located in the Santa Catalina Mountains northeast of downtown Tucson, Arizona, USA, during a series of extreme rainfall events. Traditionally, TTD studies look at the long time response of a catchment to an input variation in tracer concentration. Few studies have determined the TTD at the scale of a...