Key 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.
Key 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.
Environ Res. 2019 Nov;178:108686. doi: 10.1016/j.envres.2019.108686. Epub 2019 Aug 26.
Rainfall is one of the most fundamental components of the water cycle and is one of the fundamental inputs of hydrological models. A well-designed network can not only depict the regional precipitation characteristics, but also economically yield maximum needed rainfall information. In regions where either there is limited data or data is not available, it is a common challenge to add stations. The entropy theory-based information transfer model and geostatistical interpolation techniques are two solutions to meet the challenge. In this study, we used a representative rain gauge network to do the network design. Two models, based on information transfer and data transfer, were compared for network design. Other rain gauges in the study area were used as reference ("true values") for assessing the model. Results showed that the information transfer model estimated transinformation between station pairs better than did the data transfer model. Different representative gauges were evaluated separately by the directional information transfer index (DIT). The candidate gauges selected with least information redundancy were similar for both information transfer and data transfer models. Though both models captured some least information-redundant areas, other areas may be bypassed because of model errors or estimation errors.
降雨是水循环中最基本的组成部分之一，也是水文模型的基本输入之一。一个设计良好的网络不仅可以描绘区域降水特征，还可以经济地提供最大需要的降水信息。在数据有限或不可用的地区，增加站点是一个常见的挑战。基于熵理论的信息传递模型和地质统计学插值技术是应对这一挑战的两种解决方案。在本研究中，我们使用了一个有代表性的雨量计网络来进行网络设计。比较了基于信息传递和数据传递的两种模型来进行网络设计。研究区域内的其他雨量计被用作评估模型的参考（“真实值”）。结果表明，信息传递模型比数据传递模型更好地估计了站对之间的互信息量。通过方向信息传递指数（DIT）分别评估不同的代表性雨量计。用信息冗余最少的候选雨量计对于信息传递和数据传递模型都是相似的。尽管这两种模型都捕捉到了一些信息冗余最少的区域，但由于模型误差或估计误差，其他区域可能会被忽略。
