University of Tehran Press Iranian Journal of Soil and Water Research 2008-479X 54 5 2023 07 23 Comparative evaluation and comparison of quality monitoring network of Iranʼs rivers with selected countries Comparative evaluation and comparison of quality monitoring network of Iranʼs rivers with selected countries 737 751 93531 10.22059/ijswr.2023.356969.669474 FA Nasrin Khodamoradi Vatan Department of Water Engineering and Management ,Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran Mehdi Mazaheri Department of Water Engineering and Management, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran Jamal Mohammad Vali Samani Department of Water Engineering and Management, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran Seyede Lila Razavi Toosi Department of Water Engineering and Management, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran Journal Article 2023 03 25  <br />Evaluating the monitoring network and determining the main criteria in the stations is an effective step in improving the efficiency of the monitoring and measurement network. Consecutive assessment, pathology and optimization in long-term monitoring; Leads to proper management of output data, system efficiency and reduces costs. Of course, limiting factors such as: growing needs, limited resources, the consequences of unsustainable development and occasional human interference in the water cycle, etc., cause concern in meeting the water needs of human society. In this study, the evaluation of the quality monitoring network of the country's rivers was evaluated using a multi-criteria decision-making method and by selecting four main criteria. In management and technical criteria in water monitoring stations, data quality control and assurance sub-criteria, in social criteria sub-criteria of water quality parameters, in economic criteria sub-criteria of pollution detection and in environmental criteria sub-criteria of network optimization at a specific time and place have the most weight. Also, a comparative comparison of Iran's monitoring network with the monitoring network of selected countries was performed using Spearman correlation coefficient method. The Iranian monitoring network is most consistent with the Thai monitoring network with a coefficient of 0.9. One of the most important priorities of the US Monitoring Network is to optimize monitoring at specific times and places. Japan's monitoring network focuses more on regional monitoring than grade 1 rivers.  <br />Evaluating the monitoring network and determining the main criteria in the stations is an effective step in improving the efficiency of the monitoring and measurement network. Consecutive assessment, pathology and optimization in long-term monitoring; Leads to proper management of output data, system efficiency and reduces costs. Of course, limiting factors such as: growing needs, limited resources, the consequences of unsustainable development and occasional human interference in the water cycle, etc., cause concern in meeting the water needs of human society. In this study, the evaluation of the quality monitoring network of the country's rivers was evaluated using a multi-criteria decision-making method and by selecting four main criteria. In management and technical criteria in water monitoring stations, data quality control and assurance sub-criteria, in social criteria sub-criteria of water quality parameters, in economic criteria sub-criteria of pollution detection and in environmental criteria sub-criteria of network optimization at a specific time and place have the most weight. Also, a comparative comparison of Iran's monitoring network with the monitoring network of selected countries was performed using Spearman correlation coefficient method. The Iranian monitoring network is most consistent with the Thai monitoring network with a coefficient of 0.9. One of the most important priorities of the US Monitoring Network is to optimize monitoring at specific times and places. Japan's monitoring network focuses more on regional monitoring than grade 1 rivers. https://ijswr.ut.ac.ir/article_93531_ef1d76543d385918994b77b437fbc2d8.pdf