Forecasting of daily total atmospheric ozone in Isfahan

A neural network combined to an artificial neural network model is used to forecast daily total atmospheric ozone over Isfahan city in Iran. In this work, in order to forecast the total column ozone over Isfahan, we have examined several neural networks algorithms with different meteorological predictors based on the ozone-meteorological relationships with previous day's ozone value. The meteorological predictors consist of temperatures (dry and dew point) and geopotential heights at standard levels of 100, 50, 30, 20 and 10 hPa with their wind speed and direction. These data together with previous day total ozone forms the input matrix of the neural model that is based on the back propagation algorithm (BPA) structure. The output matrix is the daily total atmospheric ozone. The model was build based on daily data from 1997 to 2004 obtained from Isfahan ozonometric station data. After modeling these data we used 3 year (from 2001 to 2003) of daily total ozone for testing the accuracy of model. In this experiment, with the final neural network, the total ozone are fairly well predicted, with an Agreement Index 76%.     

An attempt to develop ecotourism in an unknown area: the case of Nehbandan County,South Khorasan Province,Iran

Environment, Development and Sustainability - This study is an attempt to develop ecotourism in Nehbandan County, in the South Khorasan Province, Iran, by representing unknown areas that have...     

Water management from tradition to second modernity: an analysis of the water crisis in Iran

This article reflects on the fundamentals of first and second modernity and its usefulness and practicability for problem formulation and solving in the context of water management practices in Iran. It is argued that the current water crisis in Iran resulted from modernization based on first modernity paradigms, and second modernity concepts are used to present a framework for new water management approaches. Based on the concept of sub-political arrangements, we suggest that water management issues can be treated best in process-based ways under a reflexive modernity point of view.     

Developing a paradigm model for the analysis of farmers' adaptation to water scarcity

Environment, Development and Sustainability - Water scarcity poses a global threat to smallholder farmers and crops. Along with population growth, agricultural development, increased urbanization,...