Basin similarity classification method and device

Abstract

The invention discloses a basin similarity classification method and device. The method comprises the steps of collecting the hydrological, meteorological and underlying surface data of a predetermined basin, extracting meteorological and underlying surface factors, and constructing a feature index; setting a correlation threshold value, and determining weather and underlying surface similarity indexes; based on an SOM and FCM fusion algorithm, carrying out grid scale hydro meteorological zoning in the predetermined basin; constructing a sub-basin scale cluster in the meteorological homogeneous region, and performing sub-basin classification by using the fusion model; and according to the meteorological subarea where the basin is located and the included sub-basin categories, constructing comprehensive measurement of the similarity of the basin by using the fuzzy membership degrees of the sub-basins, evaluating the similarity degree between the basins by using a maximum and minimum closeness degree method, and identifying the similarity between the basins. According to the method, a theoretical basis is provided for reference basin selection and parameter transplantation of the data-free basin, and deep development of work such as data-free region model parameter regionalization and hydrological early warning and forecasting is promoted.

Description

technical field [0001] The invention belongs to the technical field of hydrology, and specifically relates to a watershed similarity classification method and a classification device, which are mainly used for similar watershed discrimination and hydrological early warning and forecasting in areas without data. Background technique [0002] In recent years, affected by climate change and human activities, extreme weather events have shown an increasing trend, and severe water disasters such as mountain torrents and mudslides have occurred frequently. Especially for areas where hydrological data are scarce, due to the lack of effective water monitoring means, the detection of disasters is insufficient, the disasters occur rapidly and the losses are serious, which seriously restricts the sustainable development of the economy and society. Aiming at the problem of hydrological forecasting in areas without data, the International Association for Hydrological Sciences (IAHS) laun...

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Problems solved by technology

[0004] The selection of traditional similar watersheds often depends on the experience of decision makers, there is no unified quantitative standard, and there is a strong uncertainty in practical application

At the same time, a general similarity index combination has not yet been formed, and specific similarity indexes may not be able to capture comprehensive hydrological laws. How to select similarity indexes and construct a similar watershed evaluation system has become a key issue in the study of hydrological similarity and parameter regionalization. crucial step

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