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Model for forecasting similarity of rainfall and runoff

A runoff and rainfall technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as fluctuations in the correlation coefficient of rainfall and runoff, and achieve the effect of simple and easy prediction models

Active Publication Date: 2013-04-03
KUNMING UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

However, in different regions, due to the influence of complex climate and human activities, the correlation coefficient between rainfall and runoff presents certain fluctuations.

Method used

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  • Model for forecasting similarity of rainfall and runoff
  • Model for forecasting similarity of rainfall and runoff
  • Model for forecasting similarity of rainfall and runoff

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Embodiment Construction

[0025] The present invention will be further described below in conjunction with the embodiments and accompanying drawings, but the protection scope of the present invention is not limited thereto.

[0026] In order to understand the changes in the similarity between rainfall and runoff in a certain area, monitor the climate and environment changes in the area, analyze the impact of human activities and the destruction of the ecological environment, a model for predicting the similarity between rainfall and runoff was constructed. 10 years (from 2001 to 2010) of hydrological data (from 2001 to 2010) of daily measurements of rainfall and runoff in the region were obtained from the Meteorological Department (e.g. figure 1 As shown), the wavelet threshold denoising method is used to denoise. Since the signal-to-noise ratio is equal to the ratio of the input signal to the noise, the noise cannot be directly measured, so the difference between the input signal and the denoising sign...

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Abstract

The invention provides a model for forecasting the similarity of rainfall and runoff. An existing technical wavelet thresholding denoising method is adopted to denoise; common linear transformation in mathematics is applied to carry out normalization processing on denoised rainfall and runoff data; then the minimum of the sum of Euclidean distances between the normalized rainfall and runoff data is calculated; and a similarity function of rainfall and runoff is fitted by utilizing an existing least square method. The model is suitable for forecasting the similarity of rainfall and runoff in all areas. On one hand, the model provides reference for the meteorological department and takes a guide effect on the hydrologic regime of a certain area; and on the other hand, according to the change condition of the similarity of rainfall and runoff, the climatic environment change of a certain area can be monitored and influence of human activities and the condition of damage to the ecological environment can be analyzed.

Description

technical field [0001] The invention relates to a model for predicting the similarity between rainfall and runoff, and belongs to the technical field of meteorological monitoring. Background technique [0002] Recently, due to changes in river courses and hydrological regimes, soil erosion, sedimentation, water pollution, loss of biodiversity and other transboundary issues have attracted widespread attention from the international community. Over the past half century, deforestation, soil erosion, climate change, human activities and other impacts have become the root causes of natural disasters. The protection, rational management and utilization of water resources have become key issues in strategic planning at the national level. It is known that rainfall is the main source of water resources, and rainfall and runoff are consistently positively correlated, however, this correlation often shows large fluctuations. In addition, the joint effects of climate change and huma...

Claims

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Application Information

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IPC IPC(8): G06F17/50
Inventor 桑秀丽徐建新苏俞真肖汉杰高松
Owner KUNMING UNIV OF SCI & TECH
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