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Identifying Potential Locations of Hydrologic Monitoring Stations Based on Topographical and Hydrological Information

Author

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  • Akshay Singhal

    (Indian Institute of Science Education and Research Bhopal)

  • Muhammed Jaseem

    (Indian Institute of Science Education and Research Bhopal)

  • Divya

    (Indian Institute of Science Education and Research Bhopal)

  • Shiblu Sarker

    (Bureau of Watershed Management and Modelling)

  • Pragati Prajapati

    (Indian Institute of Science Education and Research Bhopal)

  • Ankit Singh

    (Indian Institute of Science Education and Research Bhopal)

  • Sanjeev K. Jha

    (Indian Institute of Science Education and Research Bhopal)

Abstract

In-situ hydrometric gauges are considered the most trusted source of information in hydrology. They are crucial for effective planning, designing and management of water-related projects. In this study, we aim to identify important gauge locations of streamflow and sediment in the Ganga River Basin: (1) by identifying critical nodes (CN) which serve as pathways for the transport of water and sediment using the linear integer programming algorithm and (2) by identifying unique gauges among the 207 existing stream gauges based on the streamflow and sediment data using the complex network measure of clustering coefficient. We use 30 years of precipitation and temperature data to generate the streamflow and sediment data at the 207 stream gauge locations using the Soil and Water Assessment Tool (SWAT). Results show that the highest number of CN is found in the eastern zone of the basin, followed by the northern and southern zones. A total of 126 CN, 51 unique streamflow gauges, and 85 unique sediment gauge locations are identified. Combining the critical nodes and unique gauges, we identify 177 and 211 potential streamflow and sediment gauge locations in the basin, respectively. Results suggest the scope for adding streamflow and sediment gauges at the identified 126 CN locations. The study is important for policymakers for collecting and managing hydrological data, flood forecasters, and river management authorities for detecting sources of pollution, wastewater, etc.

Suggested Citation

  • Akshay Singhal & Muhammed Jaseem & Divya & Shiblu Sarker & Pragati Prajapati & Ankit Singh & Sanjeev K. Jha, 2024. "Identifying Potential Locations of Hydrologic Monitoring Stations Based on Topographical and Hydrological Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 38(1), pages 369-384, January.
    • Handle: RePEc:spr:waterr:v:38:y:2024:i:1:d:10.1007_s11269-023-03675-x
    DOI: 10.1007/s11269-023-03675-x
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    References listed on IDEAS

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    1. Emanuele Barca & Giuseppe Passarella & Michele Vurro & Alberto Morea, 2015. "MSANOS: Data-Driven, Multi-Approach Software for Optimal Redesign of Environmental Monitoring Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(2), pages 619-644, January.
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    Cited by:

    1. Hazem Ghassan Abdo & Sahar Mohammed Richi & Mohammed J. Alshayeb & Pankaj Prasad & Taorui Zeng & Bijay Halder & Maged Muteb Alharbi & Hoang Thi Hang & Jasem A. Albanai, 2025. "Multi-criteria Assessment of Potential Check Dam Location for Sustainable Development in Urban River Basins of the Eastern Mediterranean," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(5), pages 2149-2175, March.
    2. Farhad Salimian & Reza Ghiassi, 2025. "A Hybrid Method for Designing Sustainable River Monitoring Networks Using Fuzzy Logic Site Selection and Genetic Algorithm Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 39(1), pages 227-243, January.

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