Showing 5 results for Barati
A. A. Barati, J. Mir Mohammad Sadeghi, A. Khatoonabadi,
Volume 8, Issue 2 (summer 2004)
Abstract
Considering the population growth and limitation of expansion in cultivation areas, employment in non-agricultural jobs in rural areas is inevitable. The purpose of this study is to investigate the factors affecting the supply of labor of the rural families on non-agricultural jobs in the rural areas. A sample of 300 families from rural areas of the Ghoochan Township in 2000-2001 was studied. The data were collected through interviews and questionnaires. The analysis used a multivariable regression equation.
The results showed that: 1. The wage level of the non-agricultural experience of the person had positive effect on the supply of labors to non-agricultural jobs. 2. However, this effect was negative for the number of days the person worked on farm. Finally, since wages earned from non-agricultural jobs was higher than that of agricultural jobs. Therefore, it is suggested that for the purpose of increasing the income of rural people, non-agricultural jobs in rural areas be facilitated and encouraged
A. A. Barati,
Volume 10, Issue 2 (summer 2006)
Abstract
The purpose of this study was to survey income distribution among the agricultural and non-agricultural rural families in Ghoochan town, Khorasan province. Data was collected by filling out questionnaires, and having interviews with 265 rural families, selected by stratified random sampling. And the obtained data was analysed through Gini ratios, comparison of the quintiles, Lourenz curve and income ratios. The results showed that the income distribution among the non-agricultural families was higher than that among agricultural families. The Gini ratio for agricultural families was 0.57 and for non-agricultural families was 0.45. The lowest Gini ratio was among the families employed for both agricultural and non-agricultural activities (GR=0.38). Therefore, it seems that income inequalities can be improved by making rural families in Ghoochan work in both agricultural and non-agricultural sectors.
B. Rayegani, S. J. Khajeddin, S. Soltani , S. Barati,
Volume 12, Issue 44 (summer 2008)
Abstract
Snow is a huge water resource in most parts of the world. Snow water equivalent supplies 1/3 of the water requirement for farming and irrigation throughout the world. Water content estimation of a snow-cover or estimation of snowmelt runoff is necessary for Hydrologists. Several snowmelt-forecasting models have been suggested, most of which require continuous monitoring of snow-cover. Today monitoring snow-cover patches is done through satellites imagery and remote sensing methods. MODIS have smaller Spatial Resolution and more bands in comparison with Meteorology Satellite like NOAA. Therefore, in this research we used MODIS data for creating snow cover imagery. Existence of cloud in the study area is a major problem for snow cover monitoring. Therefore, in this research snow cover area changes were estimated without MODIS data period, but with DEM imagery and regressions between temperature, height and aspect. For this purpose, on 10 Esfand when the image was suitable we estimated the snow cover area. In comparison with real image, precision of the method was confirmed.
S Barati Ghahfarokhi, S Soltani, S.j Khajeddin, B Rayegani,
Volume 13, Issue 47 (4-2009)
Abstract
To investigate land use changes, Qale Shahrokh basin (15098.1 ha area) was selected. Satellite images of Landsat sensors (MSS, TM and ETM+) were used. After improvement and different enhancement analysis of images such as FCC, PCA, the study area was checked using GPS and topographic maps (1:50000) and other information. Land use units were determined using classified random sampling method. Maps accuracy was assessed after performing different classifications. Final land use maps of 1354, 1369, 1381 years were produced using a hybrid method with fine accuracy. Trend of land use changes was investigated during the study periods. Results showed that during the first period (1354), most area of land use was rangeland with sparse vegetation cover (%41.6) and least area was irrigated farming (1.5%). Also, during the second period (1354-1369) most area of land use was rangeland with sparse vegetation cover (%43.4) and least area was irrigated farming (4.1%). During the third period (1369-1381), the maximum area of land use was dry farming (%35.6) and minimum of area was irrigated farming (7%). Maximum land use change was related to rangeland with medium vegetation cover. They were changed into dry farming and rangeland with sparse vegetation cover during 1354 to 1369. During 1369 to 1381, maximum land use changes occurred on poor rangeland with sparse vegetation cover and rangeland with medium vegetation cover was changed into irrigated and dry farming.
A.r. Hossienpur, M. Barati, M.h. Salehi,
Volume 27, Issue 4 (Winter 2023)
Abstract
The kinetics of potassium release may be affected by P When phosphorus (P) fertilizer is applied to soils. The objective of this study was to the effect of Ca(H2Po4)2 fertilizer on the kinetics of non-exchangeable potassium (NEK) release in 10 calcareous soils. The amount of 100 mg kg-1 of P as Ca(H2Po4)2 was added to the soils. Treated and untreated soils were incubated at 70% of field capacity and 25±1°C for 90 days. After that, the NEK release was studied by 0.01 M CaCl2 extractant in 2017 hours by successive extraction methods in the treated and untreated soils. The results showed the NEK released in treated soils less than in untreated soils. The mean cumulative NEK released after 2017 h in the treated and untreated soils was 260.6 and 303.3 mg kg-1, respectively. The release of NEK in all soils was fast in the initial stages and continued at a lower speed in the later stages until the end of the experiment. The kinetics of NEK release was evaluated using kinetic equations. Based on the highest coefficients of determination (R2) and the lowest standard error (SE), the kinetics of NEK release in treated and untreated soils were described by the power function equation. The results of this research could be helpful for the precise fertilizer recommendation for the study in calcareous soils.
