Developing a dual entropy-transinformation criterion for hydrometric network optimization based on information theory
Heshu Li1, Dong Wang1, Vijay P Singh2
1Key Laboratory of Surficial Geochemistry, Ministry of Education, Department of Hydrosciences, School of Earth Sciences and Engineering, State Key Laboratory of Pollution Control and Resource Reuse, Nanjing University, Nanjing, PR China.
A new dual entropy-transinformation criterion (DETC) effectively optimizes hydrometric networks by prioritizing significant stations. This method enhances water resource management by balancing information content and redundancy in monitoring networks.
Area of Science:
- Hydrology and Water Resource Management
- Information Theory in Environmental Science
- Geospatial Data Analysis
Background:
- Effective water resource management relies on robust hydrometric monitoring networks.
- Entropy-based methods and copula functions are advancing hydrometric network evaluation and optimization.
- Existing criteria may not fully capture station significance or allow for flexible preference weighting.
Purpose of the Study:
- To develop and validate a novel dual entropy-transinformation criterion (DETC) for hydrometric network optimization.
- To identify and prioritize significant monitoring stations within a network.
- To generate optimized network solutions incorporating user-defined preferences.
Main Methods:
- Developed DETC integrating entropy and transinformation indices with a tradeoff weight.
- Utilized copula functions (Gumbel, Frank, Clayton) for modeling multivariate hydrological data.
- Applied DETC to streamflow and rainfall networks across diverse geographical and climatic conditions.
- Compared DETC performance against Dual Entropy-Multi-objective Optimization (DEMO) and Minimum Transinformation (MinT) criteria.
Main Results:
- DETC effectively prioritizes stations based on their informational significance.
- The criterion successfully incorporates decision preferences regarding information content and redundancy.
- Application to real-world networks demonstrated DETC's capability in optimizing station selection.
- DETC showed an advantage in accurately restoring spatial precipitation distribution compared to MinT.
Conclusions:
- DETC offers a robust and flexible approach for optimizing hydrometric monitoring networks.
- The method enhances the efficiency and effectiveness of water resource management strategies.
- DETC provides a valuable tool for prioritizing data collection and network design in hydrology.
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