جستجوی مقالات مرتبط با کلیدواژه « دشت عباس » در نشریات گروه « آبخیزداری، بیابان، محیط زیست، مرتع »

Recognizing quality of groundwater as one of the most important and vulnerable sources of water supply in recent decades is a necessary and important issue. Water purification is sensitive and time consuming; therefore, investigation of the quality of groundwater supply is essential. In this research, in order to study chemical compounds of groundwater, 21 observed wells were sampled in the summer of 2013 year and important parameters of samples were measured and calculated for agricultural and drinking uses. Also Piper diagram was used to determine hydrochemical facies of the groundwater area. The results showed that dominant type of groundwater hydrochemical facies of region was calcium sulfate (Ca-S04). According to World Health Organization standard, among wells of region just H9, L15, O12, and L6C wells was suitable for drinking use and these wells in terms of sodium hazard and change of soil structure for agriculture use, had a good to admissible situation . Also, groundwater of that region had moderate permeability index; therefore, it should be used for soil irrigation with sufficient permeability and cultivation of salt tolerant plants.

Remote sensing is a key technology for assessing expansion and rate of land cover changes that awareness of these changes as the basic information has a special importance for various programs.
In this study, land use changes were examined over the past 24 years, and the feasibility of predicting it in the future was evaluated by using the Markov chain model of the Abbas Plain. Landsat TM, ETM, and OLI satellite images for the years 1968, 2003 and 2013, respectively; along with topographic and vegetation maps of the study region were used in this research. The images for three periods were classified into five land-use classes of rangeland, agricultural land (irrigated and rain-fed)), residential land, riverbed and barren and hilly land. According to the results, agricultural land is the most dynamic land-use class in the study area and its area has followed an upward trend during the period 1968 – 2003, so that 4337 ha (7.12%) has been added to this land-use class during this period. The trend of rangeland use change has had a descending trend during the period 1968 – 2003, so that has caused its area to be decreased by 3.19% (6573.6 ha) during this period. The results obtained from Markov chain analysis in the period 1968-2003, for model calibration; the maps for the years 1968 and 2003, and its matrix for predicating land use changes of the year 2023 indicate the Kappa coefficient equal to 80 percent. Based on the obtained results, in the year 2023, 49.1 and 10.1 percent of the study region are comprised of agricultural land and rangeland, respectively.