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A Comprehensive Water Chemistry Dataset for Iranian Rivers.

Erfan Zarei1, Roohollah Noori2, Changhyun Jun3

  • 1Department of Water Engineering, Faculty of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran.

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|October 15, 2025
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Summary
This summary is machine-generated.

This study compiles a comprehensive river water quality dataset for Iran, addressing a critical data gap. The data covers 1964-2020, including chemical compounds and water quality indices, supporting national water resource management.

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Area of Science:

  • Environmental Science
  • Hydrology
  • Water Resource Management

Background:

  • River water quality data is crucial for resource management and ecosystem protection.
  • A significant lack of river water quality data exists for Asian countries, particularly Iran.
  • Existing global datasets have limited coverage in this region.

Purpose of the Study:

  • To compile a comprehensive water chemistry dataset for Iranian rivers.
  • To address the data gap in Asian river water quality information.
  • To support national-level river water quality assessment.

Main Methods:

  • Compiled data from 1,591 monitoring stations across Iranian rivers (1964-2020).
  • Included 14 chemical compounds (e.g., total dissolved solids, pH, major ions).
  • Calculated 11 water quality indices (e.g., sodium adsorption ratio, total hardness).

Main Results:

  • Created a dataset with 5,968,568 records (measurements × variables × time steps).
  • The dataset encompasses a wide range of water chemistry parameters and indices.
  • Provides extensive data for national-scale river water quality analysis.

Conclusions:

  • The compiled dataset significantly enhances the availability of Iranian river water quality data.
  • This resource can aid in large-scale water quality assessments and complement global databases.
  • Facilitates improved understanding and management of Iran's riverine ecosystems.