Bahman Kavari; Yahya Esmaeilpour; Ali Akbar Mousavi; Ommolbanin Bazrafshan; Arashk Holisaz
Abstract
The main source of water in the Arsanjan plain is underground water, which has been exploited in the past with Aqueduct and now with numerous wells. For knowing about the quality conditions of these sources; multivariate statistical analysis and interpolation methods were used in three years with different ...
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The main source of water in the Arsanjan plain is underground water, which has been exploited in the past with Aqueduct and now with numerous wells. For knowing about the quality conditions of these sources; multivariate statistical analysis and interpolation methods were used in three years with different rainfall. Factor analysis determined the key indicators of underground water quality and mapping was done with interpolation methods. The maps were classified using the Jenks optimization method of classification and the area of each class in each year calculated. Based on the results of factor analysis, EC, TH and Sodium concentration were selected with factor loadings of 0.843, 0.889 and 0.991, respectively. The RBF interpolation method for the sodium parameter was suitable in all three years of the study. For parameters of EC and TH, RBF-MQ method and LIP method had the least error in 2014 and 2015. Mapping spatial changes of the three mentioned parameters showed that in 2015, when the rainfall was lower than the average, the area of the regions with low values decreased. Due to the quantity and quality of its changes, sodium concentration parameter has a good potential to be used as an indicator of changes of the quality of underground water in response to climatic or management factors. In general, it is suggested that in assessment of the groundwater quality of Arsanjan Plain, the proximity factor to Bakhtegan Salt Lake, in addition to factors related to climate and watershed, should be considered.
Raziyeh Dehghani; Mohammad Jafari; Mohammad Ali Zare Chahouki; Salman Zare; ِAli Tavili; Babak Moteshrezadeh
Abstract
The use of biochar as a soil amendment is one of the new methods to improve soil properties and increase plant yield. In this study, in order to evaluate the effect of adding natural biochar on soil properties and yield of Pamirian winterfat (Eurotia ceratoides) plant, an experiment in a completely randomized ...
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The use of biochar as a soil amendment is one of the new methods to improve soil properties and increase plant yield. In this study, in order to evaluate the effect of adding natural biochar on soil properties and yield of Pamirian winterfat (Eurotia ceratoides) plant, an experiment in a completely randomized design were performed with 11 treatments by different levels of biochar (0, 1, 2, 3, 4, 5, 6, 7, 8, 9, and 10% by weight) and three replications in greenhouse conditions. After the end of the growing season, some physical and chemical properties of the soil (pH, EC, organic matter (%), lime, bulk deisty, particle density, and porosity percentage), germination percentage, and yield of E. ceratoides were measured. In all the studied traits of the soil (except for the particle density), and the characteristics of the E. ceratoides plant, the statistical difference between the various levels of biochar was significant (a = 0.01). Adding different levels of biochar increased pH, ECy, soil porosity percentage, soil organic matter, whereas decrased bulk density, lime percentage, clay percentage, sand, and silt.
Seyed Hasan Kaboli; Farhad Fakhri; Ali ashraf Jafari; Parviz Bayat
Abstract
Different plants have different effects on the characteristics of their surroundings, especially on the soil. Soil properties also have the different effects of these plants on them. In this research, the effect of capparis spinosa on the soil characteristics of three areas with different soil characteristics ...
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Different plants have different effects on the characteristics of their surroundings, especially on the soil. Soil properties also have the different effects of these plants on them. In this research, the effect of capparis spinosa on the soil characteristics of three areas with different soil characteristics was evaluated. The under-floor soils of the capper plant in three depths of 0-30, 60-30 and 60-90 cm, compared to the non-vegetation soils, were taken in three different geographic regions with six replicates and a total of 108 depth samples, and in The laboratory measured some of their physical and chemical properties. SPSS software was used to analyze the data and to compare the measured characteristics with non-pairs F and T tests. The results showed that the effect of capper plant on the characteristics of saline soils is a significant reduction of salinity and soil salts, reducing SAR and simultaneously improving some of the characteristics of fertility, such as increasing the potassium available in these areas. Also, in soils with light and medium non-saline texture, significant increase in available potassium levels and SAR reduction were observed in the lagging soil.
hamid hosseyni marandi; mohammad mahdavi; hasan ahmadi; baharak motamed vaziri; abdolali adelpour
Abstract
Abstract Common causes for groundwater quantity and quality changes are infiltration through the seasonal floodwater, effects of the artificial recharge projects and adjacent aquifers, and groundwater extraction for deferent uses. However, recognizing the impact of their contributions to these changes ...
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Abstract Common causes for groundwater quantity and quality changes are infiltration through the seasonal floodwater, effects of the artificial recharge projects and adjacent aquifers, and groundwater extraction for deferent uses. However, recognizing the impact of their contributions to these changes can be often challenging. Still, to understand the changes, monitoring groundwater level and several chemical factors are taken into consideration. Certain problems of course can complicate the analysis of the observations; for instance, insufficient data and manually prepared and measurement intervals can degrade the accuracy of such observations. In this paper, device-measured daily time series of Electrical Conductivity (EC), Temperature (T) and Groundwater Head (GH) are analyzed. The main purpose is to evaluate the groundwater changes and its relation to the processes on the aquifer surface in an arid region. Two wells (PZ2 and W20) with 1,200m distance from each other selected and installed a sensitive device for recording the groundwater level, temperature and salinity fluctuations. Time series of changes from December 2012 to July 2013, were analyzed. Groundwater head in PZ2 showed a decline but in W20 showed a minor rise. Salinity variations were different and were 15.3mS/cm in PZ2 and 1.7mS/cm in W20. The backdrop of increased salinity in the surface layers of groundwater in PZ2 identified and showing a correlation between groundwater head and salinity fluctuation with 83.5% R squire.
leila kashi zenouzi; shahram banjshafee
Abstract
This study aimed to investigate the relationship between expression of soil salinity factors and vegetation cover in Foojerd watershed. To this end, the vegetation types in the region and the formation of relatively homogeneous in terms of soil and topography, soil and vegetation were sampled by a systematic ...
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This study aimed to investigate the relationship between expression of soil salinity factors and vegetation cover in Foojerd watershed. To this end, the vegetation types in the region and the formation of relatively homogeneous in terms of soil and topography, soil and vegetation were sampled by a systematic random sampling. The samples according to the area consists of homogenous units were determined. In each plot characteristics of range species and percentage of vegetation cover were recorded and soil profiles were dug. Depending on the depth of the soil profile and the depth of the roots of the plants were sampled and conductivity, exchangeable sodium, sodium absorption ratio and absorption of sodium in each of the soil samples were measured. Pearson correlation coefficient of salinity and vegetation type and percentage of vegetation cover were calculated using SPSS18.0 software. The results showed that vegetation has a negative correlation with soil salinity factors. Based on analysis of variance and Duncan were revealed that test the type of plant species were depended on soil electrical conductivity and sodium absorption rate and the percentage of canopy cover was affected by soil electrical conductivity and exchangeable sodium content. So soil sodality is the most important limiting factor to grow vegetation in Foojerd watershed.
TAYYEBEH MESBAHZADEH
Abstract
This research was done in order to submit a model for salinity map made with TM satellite data and salinity values in a Buienzahra. The necessary processings such as principal component analysis and producing of different indices was done on the main bands. The 38 soil samples using random sampling (with ...
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This research was done in order to submit a model for salinity map made with TM satellite data and salinity values in a Buienzahra. The necessary processings such as principal component analysis and producing of different indices was done on the main bands. The 38 soil samples using random sampling (with 10×10 km dimension) from different horizons were designed and performed on the study area. The position of each node was registered with global positioning system (GPS), and the surface electric conductivity of samples was measured using EC meter instrument in soil saturation extract. Correlation between spectral values (main bands, produced indices) with electrical conductivity values were investigated for 80% of the samples. The regression analysis of ECe showed that there is a significant correlation between ECe with spectral data in all of main bands and with BI, NDMI, SI1, SI2, SI3 indices in 99% levels. The accuracy assessment of estimations using validation 20% samples was done. Results showed the produced ECe model could predict the soil salinity with ME and RMSE of 0.08 and 2.53 dS/m respectively. At finally, Salinity map with different salinity classes ( 0-2, 2-4, 4-16, 16-32, 32< dS m-1) was produced.
