based on spi and rdi indices, changes in droughts in the semi-arid areas of west golestan province was assessed in the gis environment by incorporating data from hashemabad synoptic station and 11 climatic stations. after evaluating the ability of lars-wg5 in the simulation period (1984-2010), downscaling of hadcm3, ipcm, and gfc models was done as a group under scenarios of a1b, a2 and b1 to e...

accurate estimation of crop evapotranspiration (etc) plays an important role in improving the water useefficiency (wue) and water management. due to the presence of different types of coatings plant in large areas, the accurate calculation of the water requirements by conventional methods is elusive or impossible. remote sensing methods are becoming attractive to estimate crop evapotranspiratio...

from the mathematical point of view, the fao penman-monteith equation shows a homographic function related to the wind speed. the homographic function has horizontal and vertical asymptotes. in this issue horizontal asymptote is applicable; because the vertical asymptote occurs for negative values of wind speed but the negative sign indicates the direction of the wind speed and only the absolut...

abstract evapotranspiration (et) determination is a key factor for irrigation scheduling, water balance, irrigation system design and management and crop yields simulation. therefore many scientists have tried to estimate evapotranspiration in different spatial and temporal scales. remote sensing is a one of new technique in estimation of et in regional scales. so, in this study it’s tried to e...

The following work presents a proposal for rural, sustainable, economic development and aims to demonstrate the advantages of implementing an economically viable system promote treatment domestic sewage in rural areas. This is exploratory research, carried out from literature review. selected method consists evapotranspiration tank, which stands others its simplified feature segregating black g...

In Water Resources area, data are obtained from various sources, such as measuring instruments and satellites. Often such data may contain patterns that are not easily identified, either because of the large volume of data sets or because the analysis requires the use of several data dimensions. In this way, this study proposes the application of machine learning resources and spatial visualiza...