Comparing the performance of different interpolation methods in the monitoring and zoning of Karoon river water based on quality and pollution indicators (Case study: Bavi county)

Document Type : Research Paper

Authors

Department of Nature Engineering, Faculty of agriculture, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran.

10.22059/jne.2024.377023.2676

Abstract

The increase in population and human activities, followed by the entry of effluents into rivers, are among the main factors that threaten health in human societies and ecosystems. Due to the impact of these activities on river water quality, continuous monitoring and evaluation of river quality are necessary. Considering that human factors such as industrial pollutants increase the concentration of pollutants in river water, its assessment plays an important role in the health of rivers. Since monitoring the river from point to point is time consuming and expensive, using different geostatistical methods is necessary to determine the best method of zoning the quality indicators and water pollution of the Karoon River from April to March 1402 in the city. Bavi was paid. Thus, after checking the normality of the data and choosing the best interpolation model based on the semivariograms, the zoning for each parameter was drawn with the best interpolation method. The results showed that the Kriging method is the best interpolation method compared to other methods. According to the zoning maps, the water quality of the Karoon River at the water pumping stations of Ramin Power Plant and Kot Seyed Sultan is in an average state, which is caused by the high level of agricultural activities in the region and the entry of industrial and urban wastewater.

Keywords

Ahmadi, S.H., Sedghamiz, A., 2008. Application and evaluation of kriging and cokriging methods on groundwater depth mapping. Environmental Monitoring and Assessment 138(1-3), 357-368.
 Almasri, M.N., 2004. Assessment of intrinsic vulnerability to contamination for Gaza coastal aquifer, Palestin. Journal of Environmental Management 88(26), 577-593.
AminPourshiani, S., Mohammadi, M., Khaledian, M R., MirRoshandel, A., 2016. Water quality assessment of Gazrodbar river using NSFWQI quality index and Liou pollution index. Wetland Ecobiology Research Quarterly, Islamic Azad University, Ahvaz Branch 8(27). (In Persian)
Azhdari, A., Rostami. A., 2005. Investigating the pattern of the Karun River in the area of Ahvaz city and its relationship with dynamic terrain. (In Persian)
Chalachew Mulat, A.Y., Fentahun Aycheh., G.S., Angualie., K.M.E., 2022. Modelling on Comprehensive Evaluation of Groundwater Quality Status using Geographic Information System (GIS) and Water Quality Index (WQI) in case of Bahir Dar City, Amhara, Ethiopia. Water Practice and Technology 19(4), 1084-1098.
Chandrasekharan, H., Sarangi, A., Nagarajan, M., Singha, V.P., Rao, D.U., M. Stalin., K. Natarajan., K., Chandrasekharan., B., Anbazhagan, S., 2009. Variability of soil water quality due to Tsunami-2004 in the coastal belt of Nagapattinam district, Tamilnadu. Journal of Environmental Management 89(1), 63-72.
Diagomanolin, V., Farhang, M., GhaziKhansari, M., Jafarzadeh, N., 2004. Heavy metals (Ni, Cr, Cu) in the karoon waterway river, Iran. Toxicology Letters 151, 63-67.
Goovaert, P., 1999. Geostatistic in soil science: State of the art and perspective,Geoderma. Journal of Geoderma 38(1), 45-93.
Fetouani, M., Sbaa, M., Vanclooster, M., Bendra, B., 2007. Assessing ground water quality in the irrigated plain of Triffa (north-east Morocco), Agricultral Water Management 95(2), 133-140.
Foster, S.; Hirata, R.; Gomes, D.; Paris, E.M.; Washington, D.C. 2002. Groundwater Quality Protection: A Guide for Water Utilities,Municipal Authorities, and Environment Agencies; The World Bank: Washington, DC, USA.
Hosseini, P., Ildrumi, A., Hosseini, A., 2013. Investigating the water quality of the Karun River using the NSFWQI index in the Zargan to Kot Amir area. Human and Environment Quarterly 26(25). (In Persian)
Khattak, A., Ahmed, N., Hussein, I., Qazi, A., Alikhan, S., Rehman, A., 2014. Spatial distribution of salinity in shallow groundwater used for crop irrigation. Pakistan Journal Botany 46(2), 531-537.
KolahKaj, A., Panahpour, E., Gholami, A., 2016. Evaluation of the quality change of some water parameters of the Karun River in a period of four years, Specialized Quarterly Journal of Water Science and Engineering, Islamic Azad University Ahvaz Branch 6(17). (In Persian)
Karandish, F., Shahnazari, A., 2013. Appraisal of the geostatistical methods to estimate Mazandaran coastal ground water quality. Caspian Journal of Environmental Sciences 12(1), 129-146.
Ghahrvardi Tali, M., Rahimzadeh, Z,. 2006. Application of weight model in landslide potential zoning case study of Abriz Sorkhab Basin, Lorestan Province,. Sarzmin 4(3). (In Persain)
Merchán, D., Sanz, L., Alfaro, A., Pérez, I., Goñi, M., Solsona, F,. Casalí, J., 2020. Irrigation implementation promotes. increases in salinity and nitrate concentration in the lower reaches of the Cidacos River (Navarre, Spain). Journal Science of Total Enviroment 706(1), 135701.
Maghami,Y., Ghadavi, R., Vali, Abbas A., Sharfi, S., 2011. evaluation of different interpolation methods for water quality zoning using GIS, a case study of Abadeh city, Journal of Geography and Environmental Planning 42(2). (In Persian)
Mohsin Khan, M.A,. Almazah, Asad EIlahi., Rizwan Niaz., A.Y., Al-Rezami, B.Z., 2023. Spatial interpolation of water quality index based onOrdinary kriging and Universal kriging, Geomatics, Natural Hazards and Risk 14(1), 2190853.
Nikbakht, S., Delbari, M., 2014. Estimation of groundwater levels using geostatistical methods. Case study: Zahedan Plain. Journal Water Sustainable Development 1(1), 49-56. (In Persian)
Osati, K., Salajegheh, A., Arekhi, S., 2013. Spatial Variation of Nitrate Concentrations in Groundwater by Geostatistics (Case Study: Kurdan Plain). Journal of Range and Watershed Management (Iranian Journal of Natural Resources) 65(4), 461-472. (In Persian)
Saif, A., Najmi, N., 2013. Clarifying changes in the meandering of Karun rivers using IRS and Landsat multi-temporal images. Scientific Journal 3(2). (In Persian)
Soleimani, K., Zandi, J., Zandi, S,. 2021 Evaluation of Geostatical Methods Efficacy for pH and TDS Mapping of Springs (Case Study: Watershead of Mirde, Kordestan) 2012. Quarterly Journal of Environmental Studies 38(64), 57-66.
USGS. Where Is Earth’s Water U.S. Geological Survey: Reston, VA, USA, 2016.
Yue, S., Shaozhong, K., Fusheng, L., Lu, Z., 2009. Comparison of interpolation methods for depth to groundwater and its temporal and spatial variations in the Minqin oasis of northwest China. Environmental Modelling & Software.
Zhu, G., Liu, Y., Shi, P., Jia, W., Zhou, J., Liu, Y., Ma, X., Pan, H., Zhang, Y., Zhang, Z., Sun, Z., Yong, L., Zhao, K., 2022. Stable Water Isotope Monitoring Network of Different Water Bodies in Shiyang River Basin, a Typical Arid River in China. Journal Earth System Science Data 14(8), 3773-3789.