Method and device for calculating composite early warning index based on critical rainfall and early warning method

A technology of early warning indicators and rainfall, applied in the fields of alarms, climate change adaptation, instruments, etc., can solve the problems of heavy workload and inability to connect the results of mountain flood disaster investigation and evaluation, and achieve the effect of avoiding huge workload.

Active Publication Date: 2019-01-01
HOHAI UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, if the composite early warning indicators are to be applied to typical small watersheds in the country, and the characteristics and laws of the historical storm flood data and early warning flow are still analyzed, not only the workload is huge, but also it cannot be well integrated with the existing investigation and evaluation of mountain torrent disasters. Achievement connection

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  • Method and device for calculating composite early warning index based on critical rainfall and early warning method
  • Method and device for calculating composite early warning index based on critical rainfall and early warning method
  • Method and device for calculating composite early warning index based on critical rainfall and early warning method

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Effect test

Embodiment 1

[0049] According to the physical mechanism of rainfall and runoff in the basin, the premise of the present invention is: it is determined that the pre-influenced rainfall Pa, the early-warning period H, and the critical rainfall value P under the combination scenarios of different pre-influenced rainfall and early-warning periods all have an impact on the composite early-warning index, and the composite early-warning The indicator RTI should be the functional relationship of the three, namely:

[0050] RTI=f(Pa,P,H)

[0051] The effect of the pre-affected rainfall Pa on runoff is smaller than that of the current rainfall. Therefore, when calculating the composite early warning index, a reduction coefficient is given to the pre-affected rainfall Pa; at the same time, the effects of different rainfall intensities on runoff are different. The greater the rainfall intensity, the easier it is to generate runoff. The composite early warning index is proportional to the rainfall inte...

Embodiment 2

[0083] Based on the same inventive concept as in Embodiment 1, an embodiment of the present invention provides a device for deriving composite early warning indicators based on critical rainfall, which is characterized in that it includes:

[0084] Obtaining module, described obtaining module is used for obtaining the computing formula RTI=(k of composite early warning index RTI 1 *Pa+P) / H^k 2 ; where k 1 、k2 is the coefficient, Pa is the previous impact rainfall, H is the early warning period, and P is the critical rainfall value under different combinations of previous impact rainfall Pa and early warning period;

[0085] Coefficient determining module, described coefficient determining module is used for determining coefficient k 1 and k 2 value to complete the derivation of composite early warning indicators.

[0086] All the other parts are the same as in Example 1.

Embodiment 3

[0088] Based on the same inventive concept as in Embodiment 1, the embodiment of the present invention provides an early warning method based on composite early warning indicators, including:

[0089] Obtain the initial soil water content when the rainfall begins, the rainfall of actual measurement or forecast and the rainfall period of actual measurement or forecast are long, and substitute into the computing formula RTI=(k 1 *Pa+P) / H^k 2 , to get the real-time composite early warning index value;

[0090] The real-time composite early warning index value is compared with the section composite early warning index threshold value, and corresponding operations are performed according to the comparison result.

[0091] In a specific implementation manner of the embodiment of the present invention, the composite early warning index threshold of the section is the average value of the composite early warning index value of the section, the real-time composite early warning index ...

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Abstract

The invention discloses a method an device for calculating a composite early warning index based on critical rainfall and an early warning method. A calculation formula RTI=(K1*Pa+P)/H^K2 of the composite early warning index RTI is obtained, K1 and K2 represent coefficients respectively, Pa represents the early-stage influence rainfall, H represents an early warning period, and P represents a critical rainfall in the situation of combination between early-stage influence rainfall and the early warning period; values of the coefficients K1 and K2 are obtained; the initial soil water content during start of rain, actually measured or forecast rainfall and time length of the rainfall are obtained and substituted into the above calculation formula RTI=(K1*Pa+P)/H^K2, and a real-time compositeearly warning index value is obtained; and the real-time composite early warning index value is compared with a sectional composite early warning index threshold, and corresponding operation is carried out according to the comparison result. Existing information before is used fully, the early warning value in a random period can be calculated easily, and a new effective method is provided for early warning against a mountain torrent disaster.

Description

technical field [0001] The invention belongs to the technical field, and in particular relates to a method, device and early warning method for deriving composite early warning indicators based on critical rainfall. Background technique [0002] Mountain torrent disasters refer to sudden disasters that threaten human life and property, such as sudden floods and landslides and mudslides that occur in mountain streams and ditches. Due to the special natural and geographical environment in mountainous areas, coupled with the impact of extreme weather and frequent human activities, mountain torrent disasters have become one of the main disasters that cause casualties and property losses in my country's natural disasters. Therefore, implementing reliable mountain torrent disaster early warning is an important task for disaster prevention and mitigation in hilly areas of our country. [0003] Critical rainfall is a commonly used early warning indicator for mountain torrent disast...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08B21/10
CPCG08B21/10Y02A50/00
Inventor 江善虎李国芳任立良陈宏新练美琪王孟浩刘若兰
Owner HOHAI UNIV
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