Geomorphology
Asghar Asghari Moghaddam; Maryam Gharekhani; Ata Allah Nadiri; Mahdi Khord; Elhan Fijani
Abstract
growing of population, development of agricultural and industrial activities were intensively increased the consumption of water resources, as results, the water quality and quantity have been decreased. Vast declining of fresh groundwater resources levels and infiltrations of surface runoffs and precipitations ...
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growing of population, development of agricultural and industrial activities were intensively increased the consumption of water resources, as results, the water quality and quantity have been decreased. Vast declining of fresh groundwater resources levels and infiltrations of surface runoffs and precipitations into groundwater, were decreased the runoffs dramatically and, as a consequence, the groundwater resources became as an important part of the water resources for drinking, industrial and agricultural demands in all over the country. Therefore, the importance of groundwater preservation, management and prevention of its contamination becomes as an inevitable task. One of the effective solutions to prevent the contamination of groundwater is to distinguish the vulnerable areas of the aquifer. In this study, DRASTIC, SINTACS and SI methods are used for assessment of vulnerability of the Ardabil plain aquifer. Using from these methods and with respect to the hydrological and hydrogeological characters of the study area, zoning of the vulnerability of aquifer to contamination is carried out and then susceptible areas to contamination was distinguished in each method. The measured nitrate concentrations in the area were used to validate each method. Correlation Index (CI) between vulnerability maps and nitrate amounts were calculated for exact and better comparing of these methods. Results showed that DRASTIC model has the highest CI, this means it is better than other methods for vulnerability assessment. According to the results of DRASTIC, 44.36% of the Ardabil plain aquifer area, located in the eastern and southern part of the plain, has low vulnerability and the rest parts including northern and western part of the plain has moderate vulnerability.
Climatology
Ataollah Nadiri; Keyvan Naderi; Asghar Asghari Moghaddam; Mohammad Hasan Habibi
Abstract
No permanent surface water resources in many parts of the country resulted in overdraft of limited underground water resources. Duzduzan plain is one of the UromiaLake sub basins. In this area, indiscriminate harvesting of groundwater resources has caused an average decline of 76 centimeters per year. ...
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No permanent surface water resources in many parts of the country resulted in overdraft of limited underground water resources. Duzduzan plain is one of the UromiaLake sub basins. In this area, indiscriminate harvesting of groundwater resources has caused an average decline of 76 centimeters per year. The purpose of this research is Groundwater level spatiotemporal predicting using Artificial intelligence models and Geostatistics model. To predict the groundwater level in the duzduzan plain, initially the piezometera in the plain were classified. The groundwater level in each piezometers category were introduced as output for each of AI models and input of these models include a evaporation and a precipitation and grounwater level of the considered piezometers with one time delay (t0-1), respectively. Ann's model and Sugeno fuzzy (SF) model applied to predict groundwater level. The resulted values of Groundwater level were evaluated by statistical measures, includes root mean square error and correlation coefficient. The obtained results showed ANNs model has better performance. Then the result of ANNs model, including two year monthly groundwater level prediction data in selected piezometers, were used as inputs of geostatistics model (Kriging and Co Kriging) for predating spatially ground water level in the study area. Obtained results showed Co Kriging model has better performance.
