Optimization model for hydrologic station networks based on combination of kriging method and information entropy theory

Abstract

The invention discloses an optimization model for hydrologic station networks based on the combination of a kriging method and an information entropy theory. According to the method, with maximization of information total quantity and minimization of estimation errors of the station networks as guidance, theoretical bases, namely NI-KSE standards, are put forward for the optimal arrangement of stations, and potential station networks are re-planned and rearranged. The kriging method and the information entropy theory are combined together, the potential hydrologic station networks are systematically evaluated, and therefore the defects are well overcome that the density in the station networks is too high, the local errors are too big, and the information redundancy is unreasonable; the rationality of information total quantity and spatial distribution between the stations is quantitatively described, the station networks are objectively evaluated and optimized, and the model has the advantages of rationality and effectiveness.

Description

technical field [0001] The invention relates to a hydrological station network technology, in particular to a hydrological station network optimization model based on the combination of kriging and information entropy theory. Background technique [0002] A hydrological station is a grass-roots hydrological institution established on a river or watershed mainly to observe and collect hydrological and meteorological data related to water bodies such as rivers, lakes and reservoirs. and basic needs for water science research. Therefore, a reasonably planned hydrological station network can fully reflect the temporal and spatial variation characteristics of hydrology, so that accurate and detailed hydrological information can be collected. It is obviously necessary to explore more objective theoretical methods to support the rational planning of the hydrological station network. On the one hand, an effective hydrological station network system can reflect the spatiotemporal di...

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Problems solved by technology

[0003] 1. Mathematical statistics method, which is the earliest application, but requires researchers to have sufficient understanding of the structure of water resources systems; at the same time, limited by the principles of mathematical statistics, the choice of statistical analysis techniques and the number of samples will affect the conclusions of data analysis and this method can only determine the number of sites by estimating the relationship between the accuracy and the number of samples, which fails to achieve the purpose of optimizing the spatial layout of the sites

[0004] 2. The kriging interpolation method requires subjective evaluation of the improvement of the estimation error of hydrological variables on the map. If the standard deviation of the estimation error is greater than the given standard deviation range, additional stations need to be added in the space, otherwise, the number of stations should be reduced. , the single use of this method in practical applications is relatively subjective and the accuracy is not high enough

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