In collaboration with Iranian Watershed Management Association

Document Type : Research Paper

Authors

1 Member of scientific boAssistant Professor, Soil Conservation and Watershed Management Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran

2 Associate Professor, Soil Conservation and Watershed Management Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran

Abstract

In watershed areas, monitoring and assessing erosion and sedimentation processes are crucial, as these processes directly impact the quality and quantity of water resources. The design and construction of advanced systems, such as a specialized geographic information system for the country’s hydrometric stations, can significantly enhance watershed management research.

This study developed a specialized geographic system for managing and analyzing hydrological data using the C# programming language and open-source spatial libraries. The system uses SQLite as a data storage platform and employs Entity Framework 6 (EF6) and LINQ to facilitate data management and extraction. It can perform various spatial and descriptive queries and analyses, as well as statistical analyses and summaries from sedimentation data.

The results can be summarized in two sections: the design and construction of the system, and the statistical analysis of sedimentation data from the Aras basin. The statistical analysis of sedimentation data (26,156 recorded data points until 2017) indicates that at the watershed scale, the average daily suspended sediment discharge is 11,814.95 tons per day, the average suspended sediment concentration is 4,185.68 mg per liter, and the average instantaneous flow discharge is 13.16 cubic meters per second.

At the study unit scale, the average maximum and minimum suspended sediment discharge correspond to the Jolfa-Duzal unit (code 1105) with 10,312.33 tons per day and the Qareh Ziyaldin unit (code 1108) with 991.96 tons per day, respectively. Additionally, at the hydrometric station scale, the average maximum and minimum daily suspended sediment discharge correspond to the Jolfa station (code 807-19) with 571,697.82 tons per day and the Naur-Exit Neur station (code 0195-19) with 2.82 tons per day.

This research aims to develop a national software infrastructure for managing sedimentation data and flow discharge from the country’s hydrometric stations.

Keywords