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<p>Hydrometric data are essential for effective water resource management, monitoring extreme events, flood forecasting, and the design of civil infrastructure. However, maintaining monitoring networks is costly, making it crucial to evaluate these systems to identify both key and redundant stations. This study advances the evaluation of hydrometric networks by applying complex network analysis to a comprehensive set of hydroclimatic variables—soil moisture, precipitation, and temperature—moving beyond traditional approaches that typically focus on a single variable. We introduce the Synchronized Weighted Degree–Betweenness (SWDB) metric to evaluate the importance of stations within the Oklahoma Mesonet. This novel metric is validated based on its effect on network efficiency and its ability to accurately represent the mean spatial pattern of the soil moisture network. Our findings show that the SWDB metric is effective in identifying important stations across different hydroclimatic variables and highlights significant redundancy within the existing network. Overall, this study emphasizes the need for more advanced, multivariable approaches to hydrometric network evaluation to better support water resource management and planning.</p>

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A complex network-based framework for evaluating hydrometric monitoring networks

  • 期刊论文

  • 发表日期：

    2025年7月3日

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  • Somnath Mondal,
  • Ashok Kumar Mishra

摘要

Hydrometric data are essential for effective water resource management, monitoring extreme events, flood forecasting, and the design of civil infrastructure. However, maintaining monitoring networks is costly, making it crucial to evaluate these systems to identify both key and redundant stations. This study advances the evaluation of hydrometric networks by applying complex network analysis to a comprehensive set of hydroclimatic variables—soil moisture, precipitation, and temperature—moving beyond traditional approaches that typically focus on a single variable. We introduce the Synchronized Weighted Degree–Betweenness (SWDB) metric to evaluate the importance of stations within the Oklahoma Mesonet. This novel metric is validated based on its effect on network efficiency and its ability to accurately represent the mean spatial pattern of the soil moisture network. Our findings show that the SWDB metric is effective in identifying important stations across different hydroclimatic variables and highlights significant redundancy within the existing network. Overall, this study emphasizes the need for more advanced, multivariable approaches to hydrometric network evaluation to better support water resource management and planning.