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, Agricultural Sciences and Natural Resources University of Khuzestan, Mollasani, Iran
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.
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