Journal of Aquifer and Qanat

In collaboration Iranian Hydraulic Association

Current Issue

By Issue

By Author

By Subject

Author Index

Keyword Index

About Journal

Aims and Scope

Editorial Board

Publication Ethics

Indexing and Abstracting

Related Links

FAQ

Peer Review Process

Journal Metrics

News

Investigation of spatial and temporal changes of qualitative parameters of Qaen plain aquifer using interpolation methods

Document Type : Original Article

Authors

1 PhD student in water resources, Department of Water Sciences and Engineering, University of Birjand, Birjand, Iran.

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

Abstract

Given the importance of water resources, especially groundwater resources, the application of appropriate management methods in quantitative and qualitative areas is well understood. The purpose of this study is to determine the most appropriate interpolation method to investigate the spatial and temporal changes in water quality in the Qaen plain aquifer. In the present study, in order to evaluate water quality, the values of 10 water quality parameters including: concentration of calcium, magnesium, sodium, chlorine, potassium, bicarbonate, sulfate, salinity, TDS and acidity ions, using IDW, LPI, GPI, OK and SK interpolation methods. It has been interpolated and researched in 2009 and 2017. The results of comparing 5 intermediate methods using RE and RMSE values showed that for most of the quality parameters studied, IDW method with the lowest error rate is the most suitable method for intermediation. It was also found that the highest error rate was related to the LPI intermediate method for the hco3 parameter with a value of 11.84 and the lowest error value was related to the IDW method for the EC and Cl parameters with a value of 0.01 . By comparing IDW zoning maps in 2009 and 2017, it was found that the concentration of most of the studied quality parameters has increased in the statistical period under study. The upward trend in Qaen aquifer in the northeastern part is more intense and the highest upward trend in this part of the aquifer is related to the concentration of calcium ions, chlorine and salinity.

Keywords

Main Subjects

References
Bai, M., Haghizadeh, A., &Tahmasebipour, N. (2017). Spatial variations in groundwater quality using statistical context. Journal of Geographical Space. 63(18), 163-137. [In Persian].
Bazi, J., Khozimehnejad, H., & Jafarzadeh, A. (2014). Groundwater Quality Zoning of Ghaen Plain Aquifer Based on GQI Index Using Geographic Information System (GIS), Second National Conference on Water Crisis (Climate Change, Water and Environment), Shahre Kord. [in Persian].
Bhuiyan, M. A. H., Bodrud-Doza, M., Islam, A. T., Rakib, M. A., Rahman, M. S., & Ramanathan, A. L. (2016). Assessment of groundwater quality of Lakshimpur district of Bangladesh using water quality indices, geostatistical methods, and multivariate analysis. Environmental Earth Sciences. 75(12), 1-23.
Ebrahimi, P. (2001). Investigation and evaluation of drinking water supply and demand management in drought conditions of Isfahan. Journal of Water and Environment. 48, 89-98. [In Persian].
Habibiarbatani, W., Ahmadi, A., & Fattahi, M. M. (2009). Modeling the spatial variation of some chemical properties of groundwater using geostatistical methods. Iranian Journal of Watershed Management Science and Engineering. 3(7), 34-23. [In Persian].
Kia, F., Ghorbani, Kh., & Salari Jazi, M. (2019). Evaluation of spatial and temporal changes in groundwater quality using WQI over two decades in Golestan aquifer. Iranian Soil and Water Research. 50(1), 51-39. [In Persian].
Khosravi, H., Karimi, K., Nakhaee, N., & Mesbahzadeh, T. (2016). Investigation of spatial structure of groundwater quality using the geostatistical approach in Mehran Plain, Iran.
Kurtulus, B., & Razack, M. (2010). Modeling daily discharge responses of a large karstic aquifer using soft computing methods: Artificial neural network and neuro-fuzzy. Journal of Hydrology, 381(1-2), 101-111.
Maroofi, S. F., Taranjian, A., & Zareabianeh, H. (2009). Evaluation of geostatistical methods for estimating hydraulic conductivity and pH of drains in Hamadan-Bahar plain. Water and Soil Conservation Research (Agricultural Sciences and Natural Resources). 16(2), 186-169. [In Persian].
Parsai, F., Mahmoudi, M. A., & Agdernejad, A. (2019). Groundwater quality assessment for drinking and agriculture in Qorveh plain. Scientific Journal of Wetland Ecobiology-Islamic Azad University, Ahvaz Branch. 13(43), 80-65. [In Persian].
Qamarnia, H.,. & Roshandel, F.(2019). Investigation of groundwater quality of Chardoli Plain in Kurdistan province. Journal of Water Resources Engineering. 11, 160-145. [In Persian].
Qandali, M., Shayesteh, K., & Mesgari, M. S. (2019). Zoning the quality of water resources for agricultural and drinking use using water quality index and geostatistical techniques in Semnan watershed. Journal of Soil and Water Sciences (Agricultural Science and Technology and Natural Resources). 1(23), 198-187. [In Persian].
Shabani, M. (2007). Spatial analysis of groundwater pollution in Arsjan region, research project, Islamic Azad University, Arsjan branch [in Persian].
Shabani, M. (2011). Evaluation of geostatistical methods in preparing groundwater quality maps and their zoning Case study: Neyriz plain, Fars province, Lar. Natural Geography Quarterly. 4(13), 97-83. [In Persian].
Taghizadeh-Mehrjardi, R., Zareian-Jahromi, M., Mahmodi, Sh., & Heidari, A. (2008). Spatial distribution of groundwater quality with geostatistics (Case Study: Yazd-Ardakan Plain). World Appl. Sci. J. 4(1), 9-17.
 
Journal of Aquifer and Qanat
Volume 4, Issue 1 - Serial Number 6
September 2023
Pages 1-15
Files
Share
How to cite
Statistics