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Groundwater Level Prediction through GMS Software – Case Study of Karvan Area, Iran Cover

Groundwater Level Prediction through GMS Software – Case Study of Karvan Area, Iran

Open Access
|Sep 2020

Figures & Tables

Fig. 1

Geographical states of the subject area.
Geographical states of the subject area.

Fig. 2

The geographical distribution of studied wells, spring and subterranean. The x-axis represents the aquifer length (p km−1) and the y-axis represents the aquifer width (p km−1).
The geographical distribution of studied wells, spring and subterranean. The x-axis represents the aquifer length (p km−1) and the y-axis represents the aquifer width (p km−1).

Fig. 3

The number of layers with boundary conditions.
The number of layers with boundary conditions.

Fig. 4

The key numbers assigned to the pilots to determine surface recharge parameters.
The key numbers assigned to the pilots to determine surface recharge parameters.

Fig. 5

Comparative sensitivity analysis of all parameters in the unsteady calibration. The x-axis represents the parameters name as follows: the transferability coefficient at the inlet and outlet boundaries of the aquifer with GHB. The transferability of the river waterways network with RIV. Horizontal hydraulic conductivity with HK. Surface recharge of aquifer with RCH. Horizontal anisotropy of hydraulic conductivity with HANI. Specific yield with SY. The y-axis represents the sensitivity analysis of aquifer for these parameters.
Comparative sensitivity analysis of all parameters in the unsteady calibration. The x-axis represents the parameters name as follows: the transferability coefficient at the inlet and outlet boundaries of the aquifer with GHB. The transferability of the river waterways network with RIV. Horizontal hydraulic conductivity with HK. Surface recharge of aquifer with RCH. Horizontal anisotropy of hydraulic conductivity with HANI. Specific yield with SY. The y-axis represents the sensitivity analysis of aquifer for these parameters.

Fig. 6

A – the location of observation and exploration wells. B – the error rate for the values of the computational data in the verification phase – Observation well #2; the x-axis represents time (p a−1) and the y-axis represents groundwater level in different wells (p m−1).
A – the location of observation and exploration wells. B – the error rate for the values of the computational data in the verification phase – Observation well #2; the x-axis represents time (p a−1) and the y-axis represents groundwater level in different wells (p m−1).

The Groundwater balance in the subject area_

TypeInfiltration of surface floodwatersGroundwaterWater consumed in agricultural, drinking, industryInfiltration of precipitation
Input [Mm3]12.411.515.05.6
Outflow[Mm3]0.09.341.30.0

The description of wells, springs and subterranean_

Consumption typeNumbersDischarge (Mm3)Percentage
Wells40131.249.1
Springs3421.634.0
Subterranean6110.716.9

Groundwater level variations of the Karvan area for the defined scenarios_

Rangedh [m]dV [Mm3]%dV
RCH, −30%−0.430−49.34−7.21
RCH, +30%0.18220.883.05
P, +30%0.57365.759.62
P, −30%−0.207−23.75−3.48
Wells, −30%0.37342.806.26
Wells, +10%−0.122−13.99−2.05

The hydrogeology balance in the subject area_

TypePrecipitationEvaporationRainfall runoffInfiltration of precipitation
Volumes [Mm3]214.8133.040.940.9
DOI: https://doi.org/10.2478/quageo-2020-0028 | Journal eISSN: 2081-6383 | Journal ISSN: 2082-2103
Language: English
Page range: 139 - 145
Submitted on: Aug 5, 2020
Published on: Sep 23, 2020
Published by: Adam Mickiewicz University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2020 Mandana Bayat, Saeid Eslamian, Gholamreza Shams, Alborz Hajiannia, published by Adam Mickiewicz University
This work is licensed under the Creative Commons Attribution 3.0 License.