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Showing 4 results for Ground Water
Investigation of Changes in Groundwater Affected by the Electromagnetic Fields of the Earth to Predict Earthquake
Maryam Rezaei, N. Hasani, A. Khorsandi, A. Rezaei,
Volume 9, Issue 3 (12-2015)
Abstract
Several studies show that during and before the earthquake, ground water existing in layers of the earth crust undergoes physical and chemical changes. These changes are recorded by measurement devices and known as "Geohydrological Precursors". Based on the studies conducted in this field, earth electromagnetic field waves experience fluctuations during and even before happening of the earthquake, which are called "magnetic anomalies". This type of anomaly is known as "geomagnetic precursor" within the scope of earthquake knowledge. S, the aim of this study is to assess the feasibility of making a connection between two groups of earthquake precursors (hydrological and geomagnetic precursors). In the present research, a series of tests has been done in order to investigate the effect of magnetic fields on physical and chemical properties of water, including Electrical Conductivity (EC), Total dissolved solids (TDS), Height of Water (HW). The tests were designed and conducted to be used in short-term and middle-term earthquake prediction. Analysis of the experimental results using statistical tests indicates that there is a partial meaningful relationship between magnetic fields (geomagnetic precursor) and physical and chemical properties of water (hydrological precursors), with the confidence coefficient equal to 95 percent
Prediction of Chloride in Groundwater Using Supervised Artificial Intelligence Committee Machine (SAICM) (Case Study: Sari Plain)
Tahereh Azari, Sakineh Dadashi, Fatemeh Kardel,
Volume 17, Issue 2 (9-2023)
Abstract
Qualitative assessment of coastal waters affected by seawater salinity can be done using the parameter of chloride in groundwater. This research proposes a supervised artificial intelligence committee machine (SAICM) method for accurate prediction of chloride concentration in groundwater of Sari plain. SAICM predicts chloride concentration as the output of the model by non-linear combination of artificial intelligence models. In this research, Principal Component Analysis (PCA) method was used to identify effective hydrochemical parameters related to chloride concentration as input components to artificial intelligence models. Based on the results of PCA, parameters (Na, K, EC, TDS, SAR) were selected as input components of artificial intelligence models. Firstly, four artificial intelligence models, Sogno fuzzy logic, Mamdani fuzzy logic, Larsen fuzzy logic and artificial neural network were designed to predict chloride concentration. Based on the modelling results, all the models showed a good fit with the chloride data in Sari Plain. Then, the combined SAICM model was built, which combines the prediction results of 4 separate AI models using the nonlinear ANN combiner and determines the chloride concentration more accurately. The results show that the proposed SAICM can estimate chloride concentration with much higher accuracy than individual methods.

Identification of groundwater flow anomalous in the area of Neyriz Rizab Plain and determination of its probable cause
Somayeh Zarei Doudeji, Rahim Bagheri, Hadi Jafari,
Volume 18, Issue 1 (5-2024)
Abstract
Groundwater resources in Iran are of particular importance due to the lack of surface water resources, lack of precipitation, high evaporation volume and recent droughts. The first step in identifying and exploiting groundwater resources is its quantitative and qualitative investigation. Neyriz watershed, located in the study area of ​​Qatroiye desert, has 17 piezometers, whose groundwater level has been recorded monthly during the statistical period of more than 12 years. Investigations of the groundwater level and the map of the flow lines show the anomaly of the flow in the south and southwest part of the aquifer, which shows the direction of the groundwater flow contrary to the direction of the topography of the area. In this research, an attempt was made to investigate the cause of this anomaly based on the available information, including piezometer drilling logs, aquifer quality data, and national statistical data. Based on the qualitative information of the aquifer, the electrical conductivity and chlorine values ​​of the groundwater increase in the direction of the topographic slope, which indicates the flow in the direction of the topographic slope. Qualitative charts of Piper, Schuler and Durov also confirm this issue. The level of groundwater in selected exploitation wells for qualitative sampling based on the information of the depth of groundwater in national statistics also indicates the flow in the direction of the topographic slope. Finally, a clay layer with a thickness of 10 to 30 meters was observed in the drilling log of the piezometers in the south and southwest of the aquifer. Examining all the results shows that the existing aquifer is probably a double-layered aquifer, where the flow direction in the upper layer is in the direction of the topographic slope and in the lower layer is against it, and the piezometers of the south and southwest parts penetrated the lower aquifer. In order to confirm the desired hypothesis, it is suggested to carry out geophysical studies in the area or to dig exploratory wells.

Investigating the method of calculating the allocable underground water in Iran and providing corrections for it
Kamal Ganjalipour, Reza Azimi, Mojtaba Moradi,
Volume 18, Issue 1 (5-2024)
Abstract
In determining the water that can be allocated for different uses, including agriculture (as the main consumer), the most important step in this era is the proper management of groundwater resources. The observance of water consumption within the limit of allocated water ensures that the consequences of the exploitation of groundwater resources and the sustainability of development are guaranteed, and operators use technological methods to increase the efficiency of using water resources for more production in proportion to the amount tend to available water. In this article, first, the method of calculating the water allocated to the agricultural sector in the country has been studied and criticized. In this study, it was found that in the formula for calculating the current allocated water, the component of agricultural return water as an effective parameter causes a huge error in the calculation of allocated water. Then, a new formula for the calculation of allocated water was proposed, and an attempt was made to correct and apply the effect of the input component of agricultural return water on the amount of allocated water based on the calculation of allocated water in the new proposed method, taking into account the aquifer capacity based on the parameters of the water resources balance.

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