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Showing 2 results for Abghari

S. Besharat, V. Rezaverdinejad, H. Ahmadi, H. Abghari,
Volume 17, Issue 65 (fall 2013)
Abstract

Different root water uptake models have recently been used. In this article, we use evapotranspiration data and soil water content data obtained from lysimeter measurements and root distribution in soil data obtained from olive tree to evaluate the accuracy of root water uptake models in predicting the soil water content profiles. Depth of lysimeter was 120 cm which was filled with clay-loam. Lysimeter recorded values of input and output of water and accurate value of evapotranspiration was also calculated. Soil water content distribution was measured using a TDR probe in lysimeter during the experiment. Feddes model with the root length density was used to account for the role of root distribution in soil. The flow equations were solved numerically with the measured evapotranspiration data as input, and the predicted soil water content profiles were compared with the measured profiles to evaluate the validity of the root water uptake models. The comparison showed that the average of relative error index for Feddes model was 10 %. Based on the results, about 90% of root uptake in olive tree happened at the depth of 40 centimeter
R. Dabiri, H. Abghari, A. Ghorbani,
Volume 27, Issue 4 (Winter 2023)
Abstract

Management of watersheds and sustainable development today requires the most suitable and fastest method of obtaining and integrating information for optimal management and planning. One of the challenges of watershed management in the stage of planning and implementation of remedial and rehabilitation operations is choosing the appropriate and correct location; to have the necessary maximum efficiency and effectiveness, due to the high cost of mechanical operations and the lack of financial resources, select the right place to construct mechanical corrective dams has particular importance. Therefore, the objective of this research was to locate mechanical watershed management operations with a multi-criteria approach using AHP and ANP decision methods and compare the two methods in the geographic information system environment at the Saqezchi-Chay watershed. The research criteria and sub-criteria of 14 variables included soil (depth and texture), climate (type and precipitation amount), land use and Normalized Difference Vegetation Index (NDVI), hydrological factors and soil protection (flow accumulation, sedimentation rate, and curve number), topography (elevation and slope) and economic and social (distance from the village, from loan sources and the road). Expert judgments for weighting were collected through a questionnaire and in a field method with a statistical population of 29 experts and university professors. The results of this research showed that the ANP method had a significant correlation with the AHP method at the level of 95% and with an intensity of 0.839 and by comparing the prioritization of the two methods with Masonry Check Dams structures implemented in the Saqezchi-Chay watershed, it was determined that the ANP method prioritizes with more accuracy and resolution due to its network nature and increasing the range of changes.


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