H. Emami, M. Shorafa, M. R. Neyshabouri,
Volume 16, Issue 59 (spring 2012)
Abstract
Direct measurement of soil unsaturated hydraulic conductivity (K(h) or K(θ)) is difficult and time-consuming, and often in many applied models, predicting hydraulic conductivity is carried out according to measurements of soil retention curve and saturated hydraulic conductivity (Ks). However, using KS as a matching point in many procedures may result in over-estimation of unsaturated hydraulic conductivity in dry regions. Therefore, the unsaturated hydraulic conductivity at inflection point of retention curve (Ki) and Ks was used as a matching point to predict K(h). For measurement of K(h), 30 soil samples were collected based on variety of soil texture (8 texture classes from sandy to clay) and other chemical and physical properties. In addition to Ks, K(θ) values of undisturbed samples were measured using multi-step outflow method at matric suctions of 0.1, 0.2, 0.3, 0.5 0.7, 1 bar and inflection point of retention curve by using hanging water column and pressure plate. Then, the measured K(h), and water diffusivity (D(θ)) values were compared to the predicted values of van Genuchten and Brooks and Corey models (with Mualem and Burdine constraint). The results showed that for 80% of the samples, the van Genuchten–Mualem model with Ki was the best model for predicting K(h) (i.e. using Ki as a matching point in the van Genuchten–Mualem model resulted in best fitting to measured data). Also, in 6.7 % of samples (two sandy clay samples), Brooks and Corey-Mualem model with Ki and in 13.3 % soil samples (2 silty clay and 2 silty clay loam samples), van Genouchten–Mualem model had a best fitting to K(h) measured data. Furthermore, in 20 % samples (4 clay loam, and 2 silt loam textures), the accuracy and efficiency of van Genuchten–Mualem with Ki and van Genuchten–Mualem models in predicting K(h) were almost similar. According to t-Student test, the mean of RMSE and GSDER of van Genuchten–Mualem model with Ki was significantly less than van Genuchten–Mualem model at P < 0.01. In 90 percent of samples, van Genuchten-Mualem and Brooks and Corey-Burdine theory had the best fitting to the measured data of water diffusivity, but in some cases van Genuchten-Burdine model with Ki was the best model for predicting D(θ).
S. Heydari, S. Oustan, M.r. Neyshabouri, A. Reyhanitabar,
Volume 19, Issue 72 (summer 2015)
Abstract
Consequences of heavy metal accumulation in soils are of great concern. One way of decontaminating heavy metals from soils is using chelating agents, particularly EDTA. In this research, three contaminated soils (with total concentration of these metals of 10.5, 55.8 and 80.6 mmol kg-1) were collected from the surface layer of the lands surrounding a zinc-lead smelting plant in Zanjan province. The extent of Zn, Pb and Cd release by Na2H2EDTA (100 mmol kg-1 of dry soil) from these soils in column leaching experiments (both continuous and pulse addition methods) assembled into half of saturated hydraulic conductivity was assessed. In preliminary experiments, the leaching was stopped due to a drop in hydraulic conductivity. Therefore, the continuous addition method was performed with calcium nitrate as the background solution and the pulse addition method was conducted using this background solution coupled with pH adjustment to 8. Based on the results, the percentage removal of Cd as well as Pb was relatively the same for the two addition methods while the removal of Zn was 13% on average higher in the continuous addition method than in the pulse addition method. For both methods, the removal efficiencies followed the order of complex stability constants (as Pb>Zn>Cd) in a limited concentration range of EDTA to complex heavy metals. Furthermore, in contrast to Cd and Pb, a direct linear relationship was found between the percentage removal of Pb and its total amount in the soils. Surprisingly, the Pb concentration was on average only about one-twentieth of the Zn concentration. The breakthrough curves of both methods showed the mobility order of Cd>Zn>Pb. In general, it seems that the removal pattern of soil heavy metals is dependent not only on the soil type but also on the removal method.
M. Rishcefid, N. Aliasgharzad, M. R. Neyshabouri,
Volume 21, Issue 1 (Spring 2017)
Abstract
Glomalin is a glycoprotein identified in and extracted from cell walls of hyphae and spores of Glomeral fungi. It deposites on soil particles and acts as a glue which leads to the formation and stabilization of soil aggregates. Water deficit stress by affecting mycorrizal symbiosis can alter glomalin production. This study was conducted as a factorial experiment arranged in a completely randomized design (CRD) with four replications using corn (Zea mays L. Single cross 704) under greenhouse conditions. The first factor was three levels of soil moisture including 10-30% (W0), 35-55% (W1), 60-90% depletion of available water (W2) and the second factor was three species of mycorrhizal fungi, Glomus versiforme (Gv), Glomus intraradices (Gi), Glomus etunicatum (Ge) and non mycorrhizal control (NM). At the end of vegetative growth, easily extractable glomalin (EEG) and total glomalin (TG) were measured using the Bradford method after extraction from soil. Shoot and root dry weights and root colonization decreased by declining soil moisture level. Water deficit significantly increased the amount of EEG and TG in soil. Also, a significant increase in glomalin production was observed at W2 level in all three fungal species compared to the W0 and W1 moisture levels. Moreover, by enhancing water deficit stress and decreasing root colonization, glomalin production per unit percent of root colonization was significantly increased.
