hydrogeology
azam Heydari; Iraj Jabbari
Abstract
Irregular abstraction of groundwater aquifers in the country has caused a sharp decline in the aquifer water level and the destruction of aquatic aquifers. In this study, in order to investigate the groundwater level of Marvdasht-Kharameh aquifer, located in Fars province, in relation to the uncontrolled ...
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Irregular abstraction of groundwater aquifers in the country has caused a sharp decline in the aquifer water level and the destruction of aquatic aquifers. In this study, in order to investigate the groundwater level of Marvdasht-Kharameh aquifer, located in Fars province, in relation to the uncontrolled abstraction of groundwater from the data of 81 piezometric wells in the period (2018-2018), the Modflow model was simulated. Also, the results of calculating the water balance of 7,500 wells in the basin indicate that the amount of 1100 million cubic meters of water from the aquifer constant storage has been reduced over a period of 10 years. According to the prepared interpolation maps, the highest rate of groundwater loss has occurred in Dorodzan, Ramjerd and Shool areas. Therefore, it is in line with the statistics of the Fars Regional Water Organization that there are wells with high discharge in these areas. According to the maps prepared from Marvdasht aquifer, due to the alluvial nature of the groundwater aquifer, the effect of water level drop can be observed from a short distance. On the other hand, in the intermediate maps, the coefficient of hydraulic conductivity parameter indicates that the rate of aquifer drop in the northwest, center and southeast of the basin has the highest value, which is appropriate with 11% relative error confirms modeling. Finally, by performing two scenarios of 10 and 30% reduction,
Mehdi Dini; Abrahim Mohammadi Aydinlo
Volume 5, Issue 15 , October 2018, , Pages 17-35
Abstract
Abstract
Introduction
Due to an intense loss in groundwater level and a high decrease in reservoir capacity, the Marand plain has been banned since 1991. However, since 1994, the groundwater level been dropping year by year. As a result, many wells and qanats have been dried or their discharge capacity ...
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Abstract
Introduction
Due to an intense loss in groundwater level and a high decrease in reservoir capacity, the Marand plain has been banned since 1991. However, since 1994, the groundwater level been dropping year by year. As a result, many wells and qanats have been dried or their discharge capacity has been decreased, which has caused a lot of problems for the operating organizations. In this study, to investigate and manage the groundwater level variation in the Marand plain, three scenarios including supplying all consumption from groundwater resources, supplying drinking and industry consumption from the Aras River, and supplying drinking and industry consumption from the Aras River and applying the optimal management of the consumption for agricultural uses were defined. The water balance equation was used to establish the relationship between input, output, storage in an aquifer, and a variation of groundwater level in the Marand plain was estimated based on the available data (2005-2014). Finally, the zoning of the groundwater level was done for the September 1398 and the results were compared with the September 1393.
Methodology
In this research, the Marand plain with an area of 562.22 km2 in the northwest of East Azerbaijan province was selected as a case study. Investigating the hydrological and meteorological parameters of the Marand plain between the years 1982 and 2013 showed that the average annual precipitation was 283 mm, the average annual temperature was 12.8°C, and the average annual pan evaporation was 104 mm. The aim of this research was to estimate the spatial and temporal variation of the groundwater level of the Marand plain. For this purpose, the water balance estimation was done by using Excel and the zoning of groundwater level variation was done by using ArcGIS. A groundwater level analysis of the Marand plain was carried out based on the 50 observations of wells during 2005 to 2014. In this period, according to the groundwater level data, the aquifer parameters, such as the loss of the groundwater level and the amount of water withdrawal from the aquifer were determined. Then, various scenarios were defined for assessing the status of the aquifer.
Result and Discussion
The analysis of the groundwater level in the Marand Plain in a year statistical period (1982-2013) showed that the groundwater level of the plain had decreased about 16.56 m. Also the average annual groundwater level of the plain decreased about 48 cm between the years 2005 and 2015.
By applying the first scenario, in the next five years, the fall of the groundwater level in the zone 1 will be 2.35 m, in the zone 2 will be 2.25m, in the zone 3 will be 2.6m, and in the zone 4 will be 2.45m.
Also the area of the zone 4 had increased from 246 km2 to 252 km2 which indicated a further fall of the groundwater level in a large area of the plain. By applying the second scenario, in the next five years, the growth of the groundwater level in the zone 1 will be 1.74 m, in the zone 2 will be 1.67 m, in the zone 3 will be 1.93 m, and in the zone 4 will be 1.82 m. Indeed, following this trend, the groundwater level after 14 years will return to the situation of 10 years ago (2005). In addition, after 46 years, it will return to the situation of 32 years ago (1982). By applying the third scenario, in the next five years, the growth of the groundwater level in the zone 1 will be 4.78 m, in the zone 2 will be 4.58 m, in the zone 3 will be 5.29 m, and in the zone 4 will be 4.99 m. Following this trend, the groundwater level after 5 years will return to the situation of 10 years ago (2005). After 17 years, it will return to the situation of 32 years ago (1982).
Conclusion
The aim of this research was to estimate the spatial and temporal variation of the groundwater level in the Marand plain. The results showed that the annual average groundwater level had decreased 48 cm/year between the years 2005 and 2014. Also by applying the first scenario, with an intensified decline in the groundwater level in all zones, the status of the Marand aquifer becomes more critical. For example, in some areas, the groundwater level will decease about 2.6 m. By applying the second scenario, the groundwater level will increase at least 1.67 m and utmost 1.93m and by following this trend, after 14 years, the aquifer will return to the situation of 2005. Also by applying the third scenario, the groundwater level will increase at least 4.78 m and utmost 5.29m and by following this trend, after 5 years, the aquifer will return to the situation of 2005.
Taher Rajayee; Fatemeh Pouraslan
Volume 2, Issue 4 , January 2017, , Pages 1-19
Abstract
Taher Rajayee[1]* Fatemeh Pouraslan[2] Abstract In this article, a hybrid, artificial neural network-geostatistics (Kriging) methodology is utilized to predict the spatiotemporal groundwater level in Davarzan plain in Khorasan Razavi province in Iran. The data for the study were the groundwater levels ...
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Taher Rajayee[1]* Fatemeh Pouraslan[2] Abstract In this article, a hybrid, artificial neural network-geostatistics (Kriging) methodology is utilized to predict the spatiotemporal groundwater level in Davarzan plain in Khorasan Razavi province in Iran. The data for the study were the groundwater levels of 5 piezometers from September 2003 to April 2012 which were recorded on monthly basis. Neural network was used for predict the groundwater level of the successive months and geostatistic were used to estimate the groundwater level at any desired point in the plain. To determine the accuracy and efficiency of model, the method was tested on a new piezometer (Bagherabad) at the first stage. The results were compared with the actual value. And the results (E=0.812) show the efficiency of model. Then, based on appropriate achieved results, the groundwater level was predicted in the month ahead. The results show that neural network with average coefficient of determination (E=0.688) and Gaussian variogram with (R2=0.657) had high efficiency for predicting the groundwater level in this plain. [1]- Assistant Prof., Dept., of Civil Eng.; University of Qom; Iran (Corresponding author), Email:taher_rajaee@yahoo.com. [2]- M.A Student; Hydraulic Structures; University of Qom; Iran.
