Comparative evaluation and comparison of quality monitoring network of Iranʼs rivers with selected countries

Document Type : Research Paper

Authors

1 Department of Water Engineering and Management ,Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran

2 Department of Water Engineering and Management, Faculty of Agriculture, Tarbiat Modares University, Tehran, Iran

Abstract

 
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.

Keywords

Main Subjects

Comparative evaluation and comparison of quality monitoring network of Iranʼs rivers with selected countries

 

EXTENDED ABSTRACT

Introduction:

The extraction of reliable data is one of the important issues in the monitoring of river quality stations. Also, one of the environmental concerns is surface water pollution and underground water discharges. In order to achieve the objectives of the study, it is possible to examine the challenges of Iran's quality monitoring network using the multi-criteria decision-making method. In general, the purpose of this article is to review several issues, including: evaluating the performance of the quality monitoring stations of the country's rivers, comparative comparison of the quality monitoring stations of the country's rivers with selected countries, evaluation of the quality monitoring stations of the country's rivers using the multi-criteria decision-making method and finally the statistics of points The weaknesses and challenges of the quality monitoring network of Iranian rivers using the multi-criteria decision-making method and providing the necessary suggestions to solve the problems and solve the challenges. After examining and prioritizing the sub-criteria for Iran's monitoring network, the status of Iran's monitoring network compared to the monitoring network of other countries was investigated.

Materials and Methods:

At the beginning of this section, Iran was examined as the study area, and using the multi-criteria decision-making method, the criteria and sub-criteria of the Iranian network were prioritized using a questionnaire and Super Decision software. Then, in order to make a comparative comparison, criteria were determined according to the global conditions and standards, and to raise the scientific level of the paper, countries were selected for comparative comparison in order to select the closest global standard for the monitoring network. This prioritization was done using Superman's correlation coefficient method.

Results:

By using four criteria and 41 sub-criteria, the highest weight has been obtained for two managerial and technical and environmental criteria, the value of which is 0.390. Then the economic criterion with a weight of 0.152 and finally the social criterion with the lowest weight of 0.068 have been obtained in the model. In general, among the four specified criteria, the greatest effect is obtained for the sub-criterion of control and assurance of data quality in the managerial and technical criteria, and the least importance is for the sub-criterion of social growth and culture building in the social criterion.

Discussion:

 This article has been studied with the aim of evaluating and comparing the quality monitoring network of Iranian rivers with selected countries. The greatest importance has been obtained for managerial and technical criteria. Then the environmental criteria and finally the economic and social criteria are stated. Finally, in order to apply the results of the research, the following prioritization from the most important to the least important was presented from the ANP method for Iran's monitoring network:

The sub-criterion of data quality control and assurance

Detection of pollution

Optimizing the monitoring network at a specific time and place consecutively

Strengthening the quantity of data or time (frequency) in order to increase the effectiveness of data in scientific progress and necessary exploitation at the level of scientific and research centers of the country

Regarding the results of the comparative comparison, the following can be mentioned:

The highest degree of correlation between Iran's monitoring network and Thailand's monitoring network has been obtained.

In the US monitoring network, water quality parameters and monitoring optimization plan are very important. But in Iran, this sub-criterion is the fifth priority.

The German monitoring network considers the effect of sharing statistics and data to be important.

In its guidelines, the Japan Monitoring Network is based on the belief that monitoring should be done regionally with respect to Grade 1 rivers.

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Iranian Journal of Soil and Water Research
Volume 54, Issue 5
August 2023
Pages 737-751

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