Document Type : Short Paper

Authors

1 PhD Scholar, Water Engineering Department, Lahijan Branch, Islamic Azad University, Lahijan, Iran

2 Professor, Water Engineering Department, Lahijan Branch, Islamic Azad University, Lahijan, Iran

Abstract

Knowledge and awareness of temporal and spatial changes of quality parameters, especially salinity in groundwater and surface water resources and the preparation of zoning maps can be an important step in proper management and planning in the use of water resources. In this research, the trend of spatial and temporal changes of some groundwater quality parameters in Guilan province has been evaluated. Measurement data of some cations and anions sampled from 150 wells in September and March of 2011-2018 and water level data of 282 piezometric wells were collected. The zoning maps obtained by ordinary kriging method were examined. These maps show that in terms of quality parameters, groundwater resources in the central part of Gilan province have higher values ​​and in the growing season due to agricultural activities and fertilization, groundwater quality decreases. Effect of groundwater depth on the concentration of the parameters was assessed. According to the map of groundwater depth changes, the largest area of ​​Gilan province has a water level of 0.23 to 5.5 m. The results of classification of qualitative parameters show that in shallow groundwater depths the concentration of qualitative parameters increases.

Keywords

Main Subjects

Amiri Bourkhani, M., Khaledain, M., Ashrafzade, A. and Shahnazari, A. (2016). Investigation of temporal and spatial changes of groundwater salinity in Yazd province using indicator kriging geostatistical method. Echo. Hydrol. 3, 333-345.
Arslan, H. (2012). Spatial and temporal mapping of groundwater salinity using ordinary kriging and indicator kriging: the case of Bafra Plain, Turkey. Agri. Water Manage., 113, 57–63.
Ashrafzadeh, A., Roshandel, F., Khaledian, M., Vazifedoust, M. and Rezaei, M. (2016). Assessment of groundwater salinity risk using kriging methods: A case study in northern Iran. Agri. Water Manage., 178, 215–224. doi: 10.1016/j.agwat.2016.09.028
Bradaï, A., Douaoui, A., Bettahar, N. and Yahiaoui, I. (2016). Improving the prediction accuracy of groundwater salinity mapping using indicator kriging method. J. Irrig. Drain. Eng., 142(7), 4016023.
Chica-Olmo, M., Luque-Espinar, J. A., Rodriguez-Galiano, V., Pardo-Igúzquiza, E. and Chica-Rivas, L. (2014). Categorical indicator Kriging for assessing the risk of groundwater nitrate pollution: the case of Vega de Granada aquifer (SE Spain). Sci. Total Environ., 470, 229–239.
Dash, J. P., Sarangi, A. and Singh, D. K. (2010). Spatial variability of groundwater depth and quality parameters in the national capital territory of Delhi. Environ. Manage., 45(3), 640–650. doi: 10.1007/s00267-010-9436-z
Delbari, M. and Afrasiab, P. (2014). Application of indicator and ordinary Kringing for modeling of groundwater chloride. J. Environ. Stud., 40(3), 751–764.
GhahroudiTali, M. (2002). Kriging interpolation evaluation. Geogra. Res., 3(43), 95–108.
Jahanshahi, A., Moghaddam, E. R. and Dehvari, A. (2014). Investigating groundwater quality parameters using GIS and Geostatistics (Case study: Shahr-Babak Plain Aquifer). Water Soil Knowled., 24(2), 183–197.
Jang, C. C. S. (2013). Use of multivariate indicator kriging methods for assessing groundwater contamination extents for irrigation. Environ. Monit. Assess., 185(5), 4049–4061. doi: 10.1007/s10661-012-2848-x
Jang, C. C., Chen, S. K. and Ching‐Chieh, L. (2008). Using multiple‐variable indicator kriging to assess groundwater quality for irrigation in the aquifers of the Choushui River alluvial fan. Hydrol. Process. An Int. J., 22(22), 4477–4489. doi: 10.1002/hyp
Ostad-Ali-Askari, K., Shayannejad, M. and Ghorbanizadeh-Kharazi, H. (2017). Artificial neural network for modeling nitrate pollution of groundwater in marginal area of Zayandeh-rood River, Isfahan, Iran. KSCE J. Civil Eng., 21(1), 134–140. doi: 10.1007/s12205-016-0572-8
Wang, Z. M., Song, K. S., Zhang, B., Liu, D. W., Li, X. Y., Ren, C. Y., Zhang, S. M., Luo, L. and Zhang, C. H. (2009). Spatial variability and affecting factors of soil nutrients in croplands of Northeast China: a case study in Dehui County. Plant Soil Environ., 55(3), 110–120.