Application of MODFLOW and MT3DMS Models to Evaluate Groundwater Quantity and Quality in Northern Iran

Document Type : Original Article

Authors

1 PhD graduate in Natural Resources Engineering, Agricultural Sciences and Natural Resources University, Sari, Iran.

2 Professor, Department of Watershed Management, Natural Resources Faculty, Agricultural Sciences and Natural Resources University, Sari, Iran.

10.22044/jhwe.2023.13284.1025

Abstract

In recent decades, climate change and drought have led to an increase in groundwater use in the world. In Iran, due to being in the global dry belt and also the impact of climate change, reduced rainfall and surface water, excessive use of groundwater, the amount of this valuable resource has decreased. According to groundwater changes which have led to aquifer storage reduction, aquifers’ evaluation is necessary. In this study, Haraz alluvial fan, located in the north of Iran, was studied using GMS software, MODFLOW and MT3DMS models to simulate groundwater quantity and quality, respectively. . MODFLOW is considered an international standard for simulating and predicting groundwater conditions and groundwater/surface-water interactions. MT3DMS can be used to simulate changes in concentrations of miscible contaminants in groundwater considering advection, dispersion, diffusion and some basic chemical reactions, with various types of boundary conditions. The results of the MODFLOW model showed maximum water level in the southern part of the alluvial fan with 125.07 m and lowest in the northern part, adjacent to the Caspian Sea coast with -17.52 m. Also on MT3DMS model output which was prepared based on Cl concentration, maximum amount of this agent is 297.17 mg/lit in the East and the North-West of the study area. Management policy applied was utilization of the alluvial fan aquifer within 2020 as much as previous year. Model predictions indicated that water level in piezometers increased 0.75 m during 2021 and the maximum amount of Cl concentration remain unchanged. According to the results,

Keywords


Aghlmand, R. and Abbasi, A., 2019. Application of MODFLOW with Boundary Conditions Analyses Based on Limited Available Observations: A Case Study of Birjand Plain in East Iran. Water, 2019, 11, 1904.
Babiker, I. S., Mohamed, M. A.A., and Hiyama, T., 2007. Assessing groundwater quality using GIS. Water resource Management, 21KO;(4): 699-715.
Batu, V., 2006. Applied flow and solute transport modeling in aquifers. Taylor & Francis Group Inc.
Bedekar, V., Niswonger, R.G., Kipp, K, Panday, S., and Tonkin, M., 2011. Approaches to the simulation of unconfined flow and perched groundwater flow in MODFLOW. Ground Water, 50(2):187–198.
Boronina, A., Renard, P., Balderer, W., and Stichler, W., 2005. Application of tritium in precipitation and in groundwater of the Kouris catchment (Cyprus) for description of the regional groundwater flow. Applied Geochemistry, 20: 1292–1308.
Bredehoeft, J. and Hall, P., 1995. Ground-water models. Ground Water, 33:530–531.
Chitsazan, M., 2002. Groundwater Modelling. Ahvaz University Publication.
Langevin, C. D. and Weixing, G., 2006. MODFLOW/MT3DMS–Based Simulation of Variable-Density Ground Water Flow and Transport. GROUND WATER, 44(3): 339–351.
Doherty, J. and Simmons, C., 2013. Groundwater modeling in decision support: reflections on a unified conceptual framework. Hydrogeol Journal, 21:1531–1537.
Eberts, S.M., Bohlke, J.K., Kauffman, L.J., and Jurgens, B.C., 2012. Comparison of particle-tracking and lumped parameter age-distribution models for evaluating the vulnerability of production wells to contamination. Hydrogeol Journal, 20, 263–282.
Fienen, M., Hunt, R.J., Krabbenhoft, D.P., and Clemo, T
 
., 2009. Obtaining parsimonious hydraulic conductivity fields using head and transport observation: A Bayesian geostatistical parameter estimation approach. Water Resources Research, 45 (8) W08405.
Fotovat, M., Porhemmat Sedghi, H., and Babazadeh, H., 2019. Evaluation of WEAP-MODFLOW model as an Integrated Water Resources Management Model for Sustainable Development (a Case study: Gharesoo at Doab-Merek, Kermanshah, Iran). Civil Engineering Infrastructures Journal, 52(1): 167 – 183.
Ghobadian, R., Fatahi, A., Majidi, S., and Zare, M., 2014. Aquifer Simulation in Miandarband plain of Kermanshah using GMS, Irrigation and Drainage Association. The first national conference on water resources and agricultural challenges, Islamic Azad University of Khorasgan Branch, Iran.
Hunt, R.J., Feinstein, D.T., Pint, C.D., and Anderson, M.P., 2006. The importance of diverse data types to calibrate a watershed model of the Trout Lake Basin, Northern Wisconsin USA. Journal of Hydrology, 321: 286–296.
Khabat Star, M., Shabanlou, S., Rajabi, A., Yosefvand, F., and Izadbakhsh, M., 2022. Prediction of groundwater level fluctuations using artificial intelligence‑based models and GMS. Applied Water Science, 1-14.
Llamas, M.R. and Custodio, E., 2003. Intensive use of groundwater: challenges and opportunities. Balkema Publishers, Lisse, 1–471.
McDonald, M.D. and Harbough, A.W., 1988. MODFLOW: a modular 3D finite difference groundwater flow model. US Geological Survey. Open-File Report 83-875 (Chapter A1).
Rahnama, M.B. and Zamzam, A., 2013. Quantitative and qualitative simulation of groundwater by mathematical models in Rafsanjan aquifer using MODFLOW and MT3DMS. Arabian Journal of Geosciences, 3(6): 901-912.
Mohamadi, M., Mohamadi Ghale Ney, M., and Ebrahimi, K., 2011. Temporal and spatial variation of groundwater quality in Qazvin. Journal of Iran Water Research Years five, (8), 41-52.
Mahdavi, M., 2011. Applied Hydrology. in: Tehran University 9th e dn, Tehran. Iran.
Pint, C.D., Hunt, R.J., and Anderson, M.P., 2006. Flowpath Delineation and GroundWater Age, Allequash Basin, Wisconsin. Groundwater, 41, 895–902.
Moradi, A., Akhtari, A. A., and Azari, A., 2023. Prediction of groundwater level fluctuation using methods based on machine learning and numerical model. Journal of Applied Research in Water and Wastewater, 10 (1), 2023, 20-28.
Pollock, D.W., 1994. User’s Guide for MODPATH/MODPATH-PLOT, Version 3: A particle tracking post-processing package for MODFLOW, the US Geological Survey finite-difference ground-water flow model. US Geological Survey Open-File Report, 94–464, 249 pp.
Rahmani, A., 2010. Study of groundwater quality changes trend (case study: Qaemshahr – Joybar, Mazandaran province). MS Thesis, Natural Resources Faculty of Sari, Iran 69-93p.
Siadat, H., 2000. Iranian agriculture and salinity. Soil and Water Research Institute of Iran. Tehran, Iran.
Regional Water Organization of Mazandaran Reports, Iran (2012). www.wrm.ir   
Starn, J.J., Bagtzoglou, A.C., and Robbins, G.A., 2010. Using atmospheric tracers to reduce uncertainty in groundwater recharge areas. Groundwater, 48, 858–868.
Stichler, W., Maloszewski, P., Bertleff, B., and Watzel, R., 2008. Use of environmental isotopes to define the capture zone of a drinking water supply situated near a dredged lake. Journal of Hydrology, 362, 220– 223.
Szabo, Z., Rice, D.E., Plummer, L.N., Busenberg, E., and Drenkard, S., 1996. Age dating of shallow groundwater with chlorofluorocarbons, tritium helium 3, and flow path analysis, southern New Jersey coastal plain. Water Resources Research, 32, 1023–1038.
Taheri Tizro, A., Sarhadi, B., and Mohamadi, M., 2018. MODFLOW/MT3DMS-based modeling leachate pollution transfer in solid waste disposal of Bahar plain deep aquifer. Iranian Journal of Health Sciences, 6(2): 11-30.  
Walker, J.F., Saad, D.A., and Hunt, R.J., 2007. Dynamics of CFCs in northern temperate lakes and adjacent groundwater. Water ResoursesResearch, 43, W04423.
WHO., 2008. Guidelines for drinking water quality [electronic resource]. 3rded, Volume1, Geneva, 2008:  375-7B.
Zheng, C. and Bennett, G.D., 1995. Applied contaminant transport modeling: theory and practice. New York, Van Nostrand Reinhold, 440 p.
Zheng, C. and Bennet, G.D., 2002. Applied Contaminant Transport. Van Nostrand Reinhold. 440 P.
Zheng, C., Hill, M.C., Cao, G., and Ma, R., 2012. MT3DMS: Model Use, Calibration, and Validation. American Society of Agricultural and Biological Engineers, 55(4): 1549-1559.