Performance analysis of finite element method in groundwater studies based on Web of Science using R Biblioshiny

Akbarpour, Abolfazl; Dastourani, Mahdi; Tosan, Moein; Gharib, Mohammad Reza

doi:10.22077/jaaq.2024.7481.1071

Performance analysis of finite element method in groundwater studies based on Web of Science using R Biblioshiny

Document Type : Original Article

Authors

Abolfazl Akbarpour ¹

Mahdi Dastourani ²

Moein Tosan ³

Mohammad Reza Gharib ⁴

¹ Professor, Department of Civil Engineering, Faculty of Engineering, University of Birjand, Birjand, Iran.

² Associate Professor, Department of Water Science and Engineering, Faculty of Agriculture, University of Birjand, Birjand, Iran.

³ Ph.D. Student of Water Resources, Faculty of Agriculture, University of Birjand, Birjand, Iran.

⁴ Associate Professor, Department of Mechanical Engineering, Technical and Engineering Faculty, University of Torbat Heidaryeh, Torbat Heidaryeh, Iran.

https://doi.org/10.22077/jaaq.2024.7481.1071

Abstract

Groundwater aquifers are the main source of water for billions of people living in arid and semi-arid regions. Major changes in rainfall, groundwater pumping and feeding, and severe soil erosion, floods, and droughts are among the most noticeable consequences of climate change. All this complicates the challenge of conserving groundwater resources for the foreseeable future. These scenarios highlight the need to rethink current strategies for groundwater studies. This paper deals with the application of finite elements in groundwater studies. This paper analyzed Web of Science data using Biblioshiny - a powerful bibliometric analysis tool based on R software. The study shows that the Quebec National University of Scientific Research and the Indian Institute of Technology are the most active research centers on the use of finite elements in groundwater studies, and China, America, Canada, Germany, Italy, France, Great Britain, and Iran are the leading countries in this field. Are. This distribution reflects the worldwide interest and participation in research related to the application of finite elements to groundwater problems. Based on this research, the current popular topics in the world regarding the application of the finite element method in groundwater studies are: "seepage", "deformation" and "stability analysis". The present study not only highlights the relationship between collaborations and scientific advances and trends in scientific collaboration but also serves as a model to show new research directions in the field of finite element applications in groundwater.

Keywords

Bibliometric analysis

aquifer

citation analysis

numerical modeling

Subjects

ًQanat and aquifer

Babiker, I. S., Mohamed, M. A., & Hiyama, T. (2007). Assessing groundwater quality using GIS. Water Resources Management, 21, 699-715.

Bodrud-Doza, M., Islam, A.R.M.T., Ahmed, F., Das, S., Saha, N., & Rahman, M.S. (2016). Characterisation of groundwater quality using water evaluation indices, multivariate statistics and geostatistics in central Bangladesh. Journal of Water Science, 30(1), 19–40.

Eslami, H., Almodaresi, S., Khosravi, R., Fallahzadeh, R., Peirovi, R., & Taghavi, M. (2018). Assessment of groundwater quality in Yazd-Ardakan plain for agricultural purposes using geographic information system (GIS). Journal of Health, 8(5), 575-586. [In Persian]

Hiyama, T. (2010). Evaluation of groundwater vulnerability (and sustainability). 20th UNESCO – IHP training course DOI 10.1007/S11269-006-9059-6.

Joudi, A. (2009). Introduction of the GQI index for evaluating groundwater quality for drinking purposes. In Proceedings of the 27th Earth Sciences Conference and the 13th Symposium of the Iranian Geological Society. [In Persian]

Kulinkina, A.V., Plummer, J.D., Chui, K.K.H., Kosinski, K.C., Adomako-Adjei, T., Egorov, A.I., et al. (2017). Physicochemical parameters affecting the perception of borehole water quality in Ghana. International Journal of Hygiene and Environmental Health, 220(6), 990-7.

Luka, F., Jonas, L. (2009). Groundwater: Modeling, Management and Contamination. Nova Science Publishers, Inc.

Mojarad, Z., Pazira, A. R., & Tabatabaie, T. (2021). Evaluation of groundwater quality in Dayyer City Bushehr using groundwater quality index (GQI). Journal of Nature and Spatial Sciences (JONASS) , 1(2), 75 -90.

Pandey, H.K., Tiwari, V., Kumar, S., Yadav, A., & Srivastava, S.K. (2020). Groundwater quality assessment of Allahabad smart city using GIS and water quality index. Sustainable Water Resources Management, 6(2), 1-14.

Ram, A., Tiwari, S.K., Pandey, H.K., Chaurasia, A.K., Singh, S., & Singh, Y.V. (2021). Groundwater quality assessment using water quality index (WQI) under GIS framework. Applied Water Science, 11(2), 1-20.

Dehrami, R., & Amiri, F. (2023). Impact assessment of land-use changes on groundwater quality in Dahram watershed of Fars province, Journal of Water and Soil Management and Modeling, 3(1), 165-180. [In Persian]

Sargazi, S., Almodaresi, S.A., Ebrahimi, A.A., Dalvand, A., Sargazi, H., & Khatebasreh, M. (2020). Assessment of groundwater quality for industrial purposes using geographical information system (GIS) in Zahedan, Sistan and Baluchestan Province, Iran. Journal of Environmental Health and Sustainable Development, 5(4), 1162-1172.

Slama, T., & Sebei, A. (2020). Spatial and temporal analysis of shallow groundwater quality using GIS, Grombalia aquifer, Northern Tunisia. Journal of African Earth Sciences, 170, 103915.

WHO, World Health Organization. (2004). Guidelines for drinking-water quality, vol 1, 3rd edn, recommendations. WHO, Geneva, Switzerland.

Abbasi, Z., Azimzadeh, H., Talebi, A., & Sotoudeh, A. (2019). Evaluating Quality of Ajabshir Groundwater Resources Based on Groundwater Quality Indicator (GQI) and Geographical Information System, Journal of Hydrology and Soil Science, 22(4), 99-108.