Central Asian Scientific Press (CAS-Press)Central Asian Journal of Environmental Science and Technology Innovation2717-40342320210601Estimation of groundwater depth using ANN-PSO, kriging, and IDW models (case study: Salman Farsi Sugarcane Plantation)9110113370410.22034/CAJESTI.2021.03.01ENAtefeh Sayadi ShahrakiDepartment of Irrigation and Drainage. Shahid Chamran University of Ahvaz, Ahvaz, Iranhttps://orcid.org/00Saeed Boroomand NasabDepartment of Irrigation and Drainage. Shahid Chamran University of Ahvaz, Ahvaz, IranAbd Ali NaseriDepartment of Irrigation and Drainage. Shahid Chamran University of Ahvaz, Ahvaz, IranAmir Soltani MohammadiDepartment of Irrigation and Drainage. Shahid Chamran University of Ahvaz, Ahvaz, IranJournal Article20210509Appropriate management of groundwater resources requires accurate information about the characteristics of the groundwater table, spatial distribution of its characteristics, and the constant depth of the water table and its fluctuations.One of the most important issues in the quantitative management of groundwater resources is the estimation of water table using the data collected from the observation well network.In this study, to simulate the depth of groundwater Salman Farsi Sugarcane Plantation, three methods of Artificial neural network-integrated with particle swarm optimization algorithm, geostatistics (Kriging) and IDW was used. Inputs data include evapotranspiration, air temperature, precipitation and geographic location. The results showed that the highest simulation accuracy of groundwater depth in Salman Farsi Sugarcane Plantation was related to the ANN-PSO model with the highest R<sup>2</sup> (0.95) index and lowest RMSE and MAE (to 1.05 and 1.11) values. Also, among the Kriging and IDW models used, the accuracy of the Kriging model was more than the IDW model. Due to the acceptable accuracy of the results of the three models, the water resource planner and -maker in this field can apply this optimum interpolated groundwater depth to monitor the spatiotemporal fluctuation of groundwater depth in this area by updating its data.Central Asian Scientific Press (CAS-Press)Central Asian Journal of Environmental Science and Technology Innovation2717-40342320210601Adsorption of Cd, Co and Zn from multi-ionic solutions onto Iranian sepiolite isotherms10211813370510.22034/CAJESTI.2021.03.02ENRamin SamieifardDepartment of soil sciences, Faculty of Agriculture & Natural Resources, University of Tehran, Karaj, Iran0000-0002-4760-6873Ahmad LandiDepartment of soil science, Faculty of Agriculture, Shahid Chamran University of Ahvaz, Ahvaz, IranNahid PourrezaDepartment of Chemistry, Faculty of Sciences, Shahid Chamran University of Ahvaz, Ahvaz, IranJournal Article20210423Nowadays, removal of heavy-metal contaminants from industrial waste waters is one of the most important environmental polemics which necessarily requires a solution. Clays, because of their low cost and unique chemical and structural properties have been widely used to remove heavy metals from aqueous solutions. In this investigation, sepiolite mineral was obtained from a mine near Fariman Township, Khorasan, Iran. The mineral samples used in this study were powdered with sizes less than 0.05 mm (-1). Langmuir and Freundlich isotherm models were investigated to illustrate the adsorption of heavy metals by natural and heat pre-treated sepiolites from aqueous solutions in two different pH values: 4 and 5. It was determined that the experimental data were more fitted to the Langmuir model (R<sup>2</sup>≈0.99) and it was observed that cobalt ions were more adsorbed than zinc and cadmium in the order of adsorbing regularity: Co>Zn>Cd. In this study, the quantities of released Mg<sup>2+</sup> from the mineral structures were also investigated. In addition, changes in pH values in final solutions were investigated at the end of the experiments.Central Asian Scientific Press (CAS-Press)Central Asian Journal of Environmental Science and Technology Innovation2717-40342320210601The effect of methyl jasmonate on the germination of lemon seeds under the influence of salinity stress11912813370710.22034/CAJESTI.2021.03.03ENNaser AsadiDepartment of Genetics and Plant Breeding, Ilam University, Ilam, IranSomayeh JalilianDepartment of Environment, Hamadan Branch, Islamic Azad University, Hamadan, Iran0000-0003-4450-5193Journal Article20210222In order to find the best treatments to accelerate the germination of lemon seeds, a factorial study with 15 in 3 replications was conducted in a completely randomized design. In order to find superior treatments to accelerate the germination of lemon seeds, research was conducted in the Qasr Shirin Azad University of Kermanshah in 2016. Environmental stresses such as salinity reduce germination percentage and speed, reduce root and stem growth, seedling weakness and as a result non-uniformity of field cover and yield loss. The first factor includes different concentrations of methyl jasmonate (zero, 0.5 and 1.5 mM) and salicylic acid (zero, 1 and 2 mM) and the second factor includes different concentrations of sodium chloride (zero, 5 and 10 mM). Des Siemens per meter). After pre-treating the seeds with the priming solutions mentioned above, the seeds are carefully placed in petri dishes with dimensions of 9 × 10 cm in a germinator with a temperature of 25 °C and relative humidity of 70-65 for 30 days. Was placed. For each of the petri dishes, 10 ml of sodium chloride with concentrations of zero, 5 and 10 dS was used. In all experiments, the percentage of germination, the number of days required for germination, the germination of the first seed, the maximum value, the average daily germination and the germination value were calculated. Based on the results, primed seeds with a concentration of 1.5 mM methyl jasmonate that was in normal condition and also primed seeds had the highest germination percentage under salinity stress. The first germination is observed on the ninth day of the experiment. The germination energy of primed seeds with a concentration of 1.5 mM methyl jasmonate was normal under normal and stress-free conditions.Central Asian Scientific Press (CAS-Press)Central Asian Journal of Environmental Science and Technology Innovation2717-40342320210601Reduction of uncertainty in projection of growth and yield of Hyrcanian trees in Jabowa-4 model by applying artificial neural network (Case study: Kheyroud forest- Nowshahr of Iran)12914113370810.22034/CAJESTI.2021.03.04ENShirin VarkouhiDepartment of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj, Iran0000-0003-2416-1469Manoochehr NamiranianDepartment of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj, IranPedram AtarodDepartment of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj, IranMahmood OmidDepartment of Agricultural Machinery Engineering, College of Agriculture & Natural Resources, University of Tehran, Karaj, IranJournal Article20210524Gap models have a long history in assessing the potential effects of climate change on forest structure and composition. In Hyrcanian forests, there is a lack of efficient models for predicting growth and yield. Therefore, to fill this gap in this study, we tried to use the Jabowa-4 model, which has the ability to predict forest dynamics by considering climatic factors. To apply the model in Hyrcanian forests, the main species selected and parameterized in different modes using experimental models. After the simulation process over 90 years, the values related to the observed and predicted BA, correlation coefficient and RMSE calculated and the species response to climate change evaluated. The results of this simulation show that climate change can have a negative impact on growth and yield by reducing rainfall and creating drought conditions in the studied forests. Due to these changes, the percentage of more resistant speciessuch as Oak increases.On the other hand, the results of this study showed that Jabowa-4 is effective in providing forest performance predictions. However, it has a weak ability to explain the amount and height of trees in Hyrcanian forests.<br /><br />Keywords: Climate change, Forest dynamics, Forest management, Growth and yield model,