Key driving force analysis method for urban and rural lake water storage change

Abstract

The invention discloses a key driving force analysis method for urban and rural lake water storage change, which comprises the following steps of performing equidistant grid division on a research area, and selecting a plurality of typical sampling points of unit area water storage according to a screening standard; establishing a database bearing driving force factors, and performing data preprocessing; scanning the lake basin characteristic trend database to form a candidate item set C1; judging the candidate item set C1, generating a frequent item set L1, and drawing various histograms of the L1; adopting an apriori-Gen algorithm, combining various data in the frequent item set L1, and forming a candidate item set C2; judging the candidate item set C2 to form a frequent item set L2; and iteratively generating a maximum frequent item set, and determining key driving forces of several lake water storage changes. According to the method, factors influencing the urban and rural lake water storage change are analyzed one by one by using the association algorithm, and the key driving force influencing the urban and rural lake water storage change is judged through iterative calculation of the association algorithm.

Description

technical field [0001] The invention relates to the field of landscape hydrology, in particular to a key driving force analysis method for changes in water storage in urban and rural lakes. Background technique [0002] Lake water is an important part of urban and rural water resources. It undertakes various functions such as flood control and drainage, climate regulation, improvement of urban and rural ecological environment, and provision of leisure and entertainment venues. It is closely related to the survival and development of human beings. Serious problems such as the degradation of ecological functions and the deterioration of the water environment. To study the water volume and water ecology of urban and rural lake ecosystems, and to analyze the relative importance of its influencing factors based on the evolution of ecosystem service functions, can provide a basis for sustainable utilization of lake resources and ecological restoration. [0003] The hydrological p...

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Problems solved by technology

Paired watershed experiments are only applicable to small watersheds and require long-term positioning observations; the ecohydrological model has high data requirements, and the quality of the data will greatly affect the quality of the simulation. The ecohydrological model for large watersheds is more time-consuming The non-model method of ecohydrology mainly uses statistical methods and hydrographic graphics for rapid evaluation, which has low data requirements, but it is difficult to reveal the specific hydrological response and mechanism within the watershed

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