Abstarct: In recent decades, many natural disasters occurred globally, among them, those who are due to atmospheric agents, causing casualties and huge economic losses in different regions of limitations. In regions such as the Middle East and West Asia, dust storms are phenomena that have recently increased in frequency and now as one of the most important threats to people and the environment in this area have shown. The process of land degradation and desertification little research with emphasis on the center of the dust in West Asia, with major indices have been studied in proposed model of FAO-UNEP. The parts of the watershed of the Tigris, the Euphrates and the Shatt al-Arab, were selected for the study. Regarding to scale of the study, many data sources as products MODIS, data network NetCDF, meteorological data, digital map of soil FAO, maps and historical data is scanned and collected and ready to inter to Geographic information systems. For the generation of selected parameters in the form of laxyers of information, data such as vegetation, texture, percentage of pebbles and soil, topographic data, land cover and climate data and meteorological data in the form of algorithms crane has been modified. Normalized difference vegetation index, coefficient of effective precipitation and wind erosion climate index, were used and five laxyers of information including wind erosion, water erosion, vegetation, land cover ratio is effective coefficient precipitation to create the final output in two periods 2000 and 2014 were prepared. Next step, with the help of artificial neural networks, data input and use the hotspot dust, maps of quantity of land degradation in the two time periods in the study area was obtained, then after verifying the accuracy of the result, the results in the two mentioned periods were compared.Comparing the two outputs showed that the intensity and extend of land degradation over a decade and a half decades has been an upward trend, plus more scattered desert areas show the creation of centers of dust in not too far future. In general these alarming trends caused global climate change and mismanagement of water resources and users in the region and surrounding areas. The ability of this study is regional modeling of development of desert areas and centers of fine dust. And also it has been tried the most important parameters of suggestive model of FAO-UNEP in the form of soft computing techniques and with acceptable accuracy for the quantification of model combine.