CN114386860B - Method for determining regional atmospheric precipitation pattern index - Google Patents

Abstract

The invention discloses a method for determining regional atmospheric precipitation pattern index R, belongs to the technical field of atmospheric precipitation index analysis, and can solve the problems that the existing precipitation pattern index cannot reflect the change of the spatial and temporal distribution of precipitation and cannot reflect the amount and supply condition of regional aerial water vapor resources. The determination method comprises the following steps: acquiring precipitation data of a time period to be measured in a research area, and obtaining an area precipitation index M according to the precipitation data; acquiring the total water vapor transmission flux Q of the whole atmosphere of the unit gas column in the research area, and acquiring an area water vapor transmission index T according to the total water vapor transmission flux Q; and calculating to obtain a regional atmospheric precipitation pattern index R according to the regional precipitation index M and the regional water vapor transmission index T.

Description

A Determination Method of Regional Atmospheric Precipitation Pattern Index

technical field

The invention relates to a method for determining a regional atmospheric precipitation pattern index, and belongs to the technical field of atmospheric precipitation index analysis.

Background technique

The change of regional precipitation can be regarded as two aspects: one is the change of the total amount, and the other is the water vapor supply. The change of the total amount is relatively easy to quantify. The existing research on regional precipitation is mainly on the amount of precipitation, and there are few studies on the concentration degree and concentration period of precipitation. To form precipitation in a region, sufficient water vapor supply is required. Airborne water vapor resources are a potential water resource. The content and transportation of water vapor in the atmosphere is an important part of regional precipitation, which is closely related to the regional atmospheric precipitation pattern.

At present, the indicators that reflect the regional precipitation pattern include the regional average annual precipitation and the average annual precipitation days. These indicators reveal the evolution law of precipitation in a changing environment to a certain extent. The concentration of precipitation in time and space will increase the possibility of floods and droughts, threatening the safe operation and design of water conservancy projects in the basin, and the water supply, irrigation, and power generation in the region will be affected to varying degrees. The existing precipitation pattern indicators cannot reflect changes in the temporal and spatial distribution of precipitation, nor can they reflect the amount and supply of regional airborne water vapor resources.

Contents of the invention

The invention provides a method for determining a regional atmospheric precipitation pattern index, which can solve the problem that the existing precipitation pattern index cannot reflect changes in the temporal and spatial distribution of precipitation, nor can it reflect the amount and supply of regional airborne water vapor resources.

The invention provides a method for determining a regional atmospheric precipitation pattern index, the method comprising:

Obtain the precipitation data of the time period to be measured in the research area, and obtain the regional precipitation index M according to the precipitation data;

Obtain the total water vapor transport flux Q of the whole layer of atmosphere per unit air column in the research area, and obtain the regional water vapor transport index T according to the total water vapor transport flux Q;

The regional atmospheric precipitation pattern index R is calculated according to the regional precipitation index M and the regional water vapor transport index T.

Optionally, the precipitation data includes daily precipitation in the time period to be measured in the study area;

The regional precipitation index M obtained according to the precipitation data specifically includes:

Divide the daily precipitation into multiple levels from small to large, and obtain the cumulative rainfall day percentage and cumulative rainfall percentage for each level;

According to the percentage of cumulative rainfall days and the percentage of cumulative rainfall of each level, the relationship curve of cumulative rainfall days and cumulative rainfall is drawn in a plane Cartesian coordinate system;

Calculate and obtain the regional precipitation concentration index CI according to the quadrant bisector of the first quadrant of the described relationship curve and the plane Cartesian coordinate system;

The regional precipitation index M is calculated according to the regional precipitation concentration index CI.

Optionally, the daily precipitation is divided into multiple levels from small to large, and the cumulative rainfall day percentage and cumulative rainfall percentage of each level are obtained, specifically including:

The daily precipitation is divided into multiple levels from small to large, and the number of precipitation days corresponding to the daily precipitation of each level is obtained, which is recorded as a rainy day;

Obtain the product of the rainfall day and the daily precipitation of the corresponding level, and record the product as the rainfall of each level;

According to the rainfall days and the rainfall of each level, the cumulative rainfall day percentage and the cumulative rainfall percentage of each level are obtained.

Optionally, the regional precipitation concentration index CI is the area of the area enclosed by the relationship curve and the quadrant bisector of the first quadrant of the plane Cartesian coordinate system.

Optionally, the precipitation data also includes the total number of precipitation days in the time period to be measured in the study area;

The calculation of the regional precipitation index M according to the regional precipitation concentration index CI specifically includes:

Obtain the rainfall intensity I of the study area according to the daily precipitation and the total precipitation days;

Calculate the standard deviation σ I of the rainfall intensity _I and the standard deviation σ CI of the regional precipitation concentration index _CI ;

The regional precipitation index M is calculated by a first formula, and the first formula is:

The value of parameter n is calculated by a second formula, which is:

Optionally, the obtaining the total water vapor transport flux Q of the research area specifically includes:

The total water vapor transport flux Q is calculated according to the third formula, and the third formula is:

Q_λ＝W_m×u，

为经向输送水汽通量，Q_λ为纬向输送水汽通量，W_m为大气中单位面积空气柱内的水汽含量，v为各层大气的纬向风速，u为各层大气的径向风速；in,

Q _λ =W _m ×u,

is the water vapor flux transported in the meridional direction, Q _λ is the water vapor transported in the latitudinal direction, W _m is the water vapor content in the air column per unit area in the atmosphere, v is the latitudinal wind speed of each layer of the atmosphere, and u is the radial direction of each layer of the atmosphere wind speed;

According to the fourth formula, the water vapor content W _m in the air column per unit area in the atmosphere is calculated, and the fourth formula is:

In the formula, q is the specific humidity, g is the acceleration of gravity, p _s is the surface air pressure, and p is the air pressure at the top of the atmosphere.

Optionally, the regional water vapor transport index T is obtained according to the total water vapor transport flux Q, which specifically includes:

Calculate the water vapor transport flux information entropy N _i according to the total water vapor transport flux Q;

The regional water vapor transport index T is calculated according to the total water vapor transport flux Q and the water vapor transport flux information entropy N _i .

Optionally, the calculating the water vapor transport flux information entropy N _i according to the total water vapor transport flux Q specifically includes:

Calculate the water vapor transport flux information entropy N _i according to the fifth formula, the fifth formula is:

Among them, s is the time length of the time period to be measured, q _{i, j} is the contribution rate of single precipitation water vapor transport;

Calculate the single precipitation water vapor transport contribution rate q _i,j according to the sixth formula, the sixth formula is:

Among them, Q _{i, j} is the total water vapor transport flux in the jth month of the i-th year, and Q _i is the total water vapor transport flux in the i-th year.

Optionally, the calculation of the regional water vapor transport index T according to the total water vapor transport flux Q and the water vapor transport flux information entropy N _i specifically includes:

Calculate the regional water vapor transport index T according to the seventh formula, the seventh formula is:

Calculate the value of the parameter m by the eighth formula, the eighth formula is:

Wherein, σ _Q is the standard deviation of the total water vapor transport flux Q, and the σ _N is the standard deviation of the water vapor transport flux information entropy N _i .

Optionally, the calculation of the regional atmospheric precipitation pattern index R according to the regional precipitation index M and the regional water vapor transport index T includes:

Calculate the regional atmospheric precipitation pattern index R according to the ninth formula, and the ninth formula is:

The value of the parameter s is calculated by a tenth formula, which is:

Wherein, σ _T is the standard deviation of the regional water vapor transport index T, and the σ _M is the standard deviation of the regional atmospheric precipitation pattern index R. .

The beneficial effects that the present invention can produce include:

The present invention obtains the regional atmospheric precipitation pattern index R through the calculation of the regional precipitation index M and the regional water vapor transport index T; when calculating the regional precipitation index M, the rainfall intensity I is calculated, which is used to describe the parameters of the total rainfall change situation, and also calculates The regional precipitation concentration index CI is used to reflect the change of the total amount of regional precipitation and the change of the degree of precipitation concentration; when calculating the regional water vapor transport index T, the total water vapor transport flux Q and the water vapor transport flux information entropy N _i are calculated, so , the regional water vapor transport index T can well reflect the regional water vapor transport volume and the stability of water vapor transport.

The regional atmospheric precipitation pattern index R of the present invention combines the existing index reflecting the regional precipitation pattern with the precipitation concentration index reflecting the temporal and spatial distribution of regional precipitation, the total atmospheric water vapor transportation amount reflecting the regional water vapor transportation situation, and the information reflecting the regional water vapor transportation The combination of entropy can not only reflect the change of total regional precipitation, but also reflect the spatial and temporal distribution of regional precipitation, and also reflect the regional water vapor transport status.

Description of drawings

Fig. 1 is a method flowchart of a method for determining a regional atmospheric precipitation pattern index provided by an embodiment of the present invention;

Figure 2 is a graph showing the relationship between cumulative rainfall days and cumulative rainfall.

Detailed ways

The present invention is described in detail below in conjunction with examples, but the present invention is not limited to these examples.

The embodiment of the present invention provides a method for determining the regional atmospheric precipitation pattern index, as shown in Figure 1, the determination method includes:

S1. Obtain the precipitation data of the time period to be measured in the research area, and obtain the regional precipitation index M according to the precipitation data.

S2. Obtain the total water vapor transport flux Q of the entire atmosphere per unit air column in the study area, and obtain the regional water vapor transport index T according to the total water vapor transport flux Q.

S3. Calculate the regional atmospheric precipitation pattern index R according to the regional precipitation index M and the regional water vapor transport index T.

In this example, the research area is the Nanxiaogou River Basin in Xifeng, Gansu Province, and the time periods to be tested are 2016 and 2017. Precipitation data include daily precipitation and total precipitation days in 2016 and 2017 in the Nanxiaogou watershed in Xifeng, Gansu Province.

In S1, the regional precipitation index M is obtained according to the precipitation data, including:

S11. Eliminate the data of less than 0.1mm in the daily precipitation, divide the remaining daily precipitation into multiple levels from small to large, and obtain the number of precipitation days corresponding to the daily precipitation of each level, which is recorded as the rainy day.

S12. Obtain the product of the rainy day and the daily precipitation of the corresponding level, and record the product as the rainfall of each level.

For example: in 2016, the daily precipitation of a certain level is 2mm, and the number of precipitation days with daily precipitation of 2mm in 2016 is 6 days, then the rainfall of this level is 12mm.

S13. Obtain the cumulative rainfall day percentage and cumulative rainfall percentage for each level according to the rainfall days and rainfall amounts of each level.

Specifically, the cumulative rainfall days of each level and the level before the level are accumulated to obtain the accumulated rainfall days of each level; the rainfall of each level and the level before the level is accumulated to obtain the accumulated rainfall.

Divide the rainy days of each level by the total rainy days in the time period to be measured to obtain the percentage of rainy days of this level, and add up the percentages of rainy days of this level and its previous level to obtain the cumulative percentage of rainy days of this level; The rainfall of a level is divided by the total rainfall of the time period to be measured to obtain the percentage of rainfall of this level, and the percentage of rainfall of this level and its previous level is accumulated to obtain the percentage of cumulative rainfall of this level.

In this embodiment, the divided levels and their corresponding rainfall days, cumulative rainfall days, rainfall, cumulative rainfall, percentage of cumulative rainfall days, and percentage of cumulative rainfall are shown in Table 1.

Table 1 Calculation table of the relationship curve between cumulative rainfall days and cumulative rainfall in the time period to be measured in the study area

level rainy day accumulated rainfall days rainfall Cumulative rainfall Cumulative rainfall percentage Cumulative Rainfall Percentage 1 11 11 11 11 11.3 0.2 2 5 16 10 twenty one 16.5 0.3 3 4 20 12 33 20.6 0.5 4 1 twenty one 4 37 21.6 0.5 5 4 25 20 57 25.8 0.8 6 1 26 6 63 26.8 0.9 7 3 29 twenty one 84 29.9 1.2 9 2 31 18 102 32.0 1.5 10 1 32 10 112 33.0 1.7 11 2 34 twenty two 134 35.1 2.0 14 3 37 42 176 38.1 2.6 15 2 39 30 206 40.2 3.0 17 1 40 17 223 41.2 3.3 18 1 41 18 241 42.3 3.6 20 2 43 40 281 44.3 4.2 twenty two 2 45 44 325 46.4 4.8 25 1 46 25 350 47.4 5.2 26 1 47 26 376 48.5 5.6 27 2 49 54 430 50.5 6.4 28 5 54 140 570 55.7 8.4 30 1 55 30 600 56.7 8.9

S14. Draw a relationship curve between cumulative rainfall days and cumulative rainfall in a plane Cartesian coordinate system according to the cumulative rainfall day percentage and cumulative rainfall percentage for each level.

Specifically, take the cumulative rainfall percentage value as the X coordinate, and the cumulative rainfall percentage value as the Y coordinate, draw the points corresponding to each level in the plane Cartesian coordinate system, and use a smooth curve to connect the points corresponding to each level in turn, The relationship curve between cumulative rainfall days and cumulative rainfall is obtained. The relationship curve is shown in Figure 2. The curve in Figure 2 is the relationship curve between cumulative rainfall days and cumulative rainfall, and the straight line is the quadrant bisector of the first quadrant of the plane Cartesian coordinate system.

S15. Calculate the regional precipitation concentration index CI according to the relationship curve and the quadrant bisector of the first quadrant of the plane Cartesian coordinate system.

As shown in Figure 2, the regional precipitation concentration index CI is the area enclosed by the relationship curve and the quadrant bisector of the first quadrant of the plane Cartesian coordinate system. The larger the area, the more dispersed the precipitation in the study area, and the more prone to extreme precipitation or extreme drought events.

Specifically, the cumulative rainfall percentage is recorded as Y, and the cumulative rainfall percentage is recorded as X. From Table 1 and Figure 2, it can be seen that the relationship between X and Y satisfies the exponential distribution curve, and the relationship curve can be expressed as: Y=aXexp (bX)dX.

Among them, a and b are constants obtained by the least square method.

求出CI的值。according to

Find the value of CI.

S16. Calculate the regional precipitation index M according to the regional precipitation concentration index CI.

Calculate the regional precipitation index M according to the regional precipitation concentration index CI, including:

S161. Obtain the rainfall intensity I of the study area according to the daily precipitation and the total precipitation days.

Specifically, the sum of the daily precipitation in the target time period of the study area is obtained, which is recorded as the total precipitation, and the rainfall intensity I is the total precipitation divided by the total number of precipitation days.

S162, calculate the standard deviation σ I of the rainfall intensity _I and the standard deviation σ CI of the regional precipitation concentration index _CI ;

The regional precipitation index M is calculated by the first formula, which is:

The value of the parameter n is calculated by the second formula, that is, the influence of the rainfall intensity I and the precipitation concentration index CI on the regional precipitation index M is equal, and the value of the parameter n is calculated. The second formula is:

The calculation of the regional precipitation index M includes the calculation of the rainfall intensity I and the precipitation concentration index CI. The rainfall intensity I is used to describe the change of the total rainfall, and the precipitation concentration index CI is used to describe the degree of rainfall concentration. Therefore, the regional precipitation index M can be It is a good response to changes in the total amount of precipitation in the region and changes in the concentration of precipitation.

In S2, the total water vapor transport flux Q in the study area is obtained, including:

S21. Calculate the total water vapor transport flux Q according to the third formula, the third formula is:

Q_λ＝W_m×u，

为经向输送水汽通量，Q_λ为纬向输送水汽通量，W_m为大气中单位面积空气柱内的水汽含量，v为各层大气的纬向风速，u为各层大气的径向风速。in,

Q _λ =W _m ×u,

is the water vapor flux transported in the meridional direction, Q _λ is the water vapor transported in the latitudinal direction, W _m is the water vapor content in the air column per unit area in the atmosphere, v is the latitudinal wind speed of each layer of the atmosphere, and u is the radial direction of each layer of the atmosphere wind speed.

Calculate the water vapor content W _m in the air column per unit area in the atmosphere according to the fourth formula, the fourth formula is:

In the formula, q is the specific humidity, g is the acceleration of gravity, p _s is the surface air pressure, and p is the air pressure at the top of the atmosphere.

In this embodiment, p _s is taken as 1000hPa, and p is taken as 300hPa.

The specific humidity data in 2016 and 2017 in this embodiment are as shown in Table 2:

Table 2 Specific humidity data table

The radial wind speed data in 2016 and 2017 in this embodiment are as shown in table 3:

Table 3 Radial wind speed data table

The zonal wind speed data in 2016 and 2017 in this embodiment are shown in Table 4:

Table 4 Zonal wind speed data table

In S2, the regional water vapor transport index T is obtained according to the total water vapor transport flux Q, including:

S22. Calculate the water vapor transport flux information entropy N _i according to the total water vapor transport flux Q.

S23. Calculate the regional water vapor transport index T according to the total water vapor transport flux Q and the water vapor transport flux information entropy N _i .

Among them, S22. Calculate the water vapor transport flux information entropy N _i according to the total water vapor transport flux Q, specifically including:

Calculate the water vapor transport flux information entropy N _i according to the fifth formula, the fifth formula is:

Among them, s is the time length of the time period to be measured, that is, the number of months in the time period to be measured, q _{i, j} is the contribution rate of single precipitation water vapor transport;

Calculate the contribution rate q _{i, j} of single precipitation water vapor transport according to the sixth formula, the sixth formula is:

Among them, Q _{i, j} is the total water vapor transport flux in the jth month of the i-th year, and Q _i is the total water vapor transport flux in the i-th year.

Wherein, the value of the water vapor transport flux information entropy N _i is: 0≤N _i ≤1.

Among them, S23. Calculate the regional water vapor transport index T according to the total water vapor transport flux Q and the water vapor transport flux information entropy N _i , specifically including:

Calculate the regional water vapor transport index T according to the seventh formula, which is:

The value of the parameter m is calculated by the eighth formula, that is, the total atmospheric water vapor transport flux Q and the water vapor transport flux information entropy N _i of the unit air column have an equal influence on the regional water vapor transport index T, and the value of the parameter m is calculated, the eighth The formula is:

Among them, σ _Q is the standard deviation of the total water vapor transport flux Q, and σ _N is the standard deviation of the water vapor transport flux information entropy N _i .

S3. Calculate the regional atmospheric precipitation pattern index R according to the regional precipitation index M and the regional water vapor transport index T, specifically including:

Calculate the regional atmospheric precipitation pattern index R according to the ninth formula, the ninth formula is:

The value of the parameter s is calculated by the tenth formula, that is, the influence of the regional precipitation index M and the regional water vapor transport index T on the regional atmospheric precipitation pattern index R is equal, and the value of the parameter s is calculated. The tenth formula is:

Among them, σ _T is the standard deviation of the regional water vapor transport index T, and σ _M is the standard deviation of the regional atmospheric precipitation pattern index R.

The calculation results of regional precipitation index M, regional water vapor transport index T and regional atmospheric precipitation pattern index R in 2016 and 2017 in this example are shown in Table 5:

Table 5 calculation results

years Regional Precipitation Index Regional Water Vapor Transport Index Regional Precipitation Climatic Pattern Indicators 2017 2843.44 52.25 559.0073138 2016 1900.79 89.26 665.3755716 standard deviation 14.23505451 10.8163807 0.896930851

The present invention obtains the regional atmospheric precipitation pattern index R through the calculation of the regional precipitation index M and the regional water vapor transport index T; when calculating the regional precipitation index M, the rainfall intensity I is calculated, which is used to describe the parameters of the total rainfall change situation, and also calculates The regional precipitation concentration index CI is used to reflect the change of the total amount of regional precipitation and the change of the degree of precipitation concentration; when calculating the regional water vapor transport index T, the total water vapor transport flux Q and the water vapor transport flux information entropy N _i are calculated, so , the regional water vapor transport index T can well reflect the regional water vapor transport volume and the stability of water vapor transport.

The regional atmospheric precipitation pattern index R of the present invention combines the existing index reflecting the regional precipitation pattern with the precipitation concentration index reflecting the temporal and spatial distribution of regional precipitation, the total atmospheric water vapor transportation amount reflecting the regional water vapor transportation situation, and the information reflecting the regional water vapor transportation The combination of entropy can not only reflect the change of total regional precipitation, but also reflect the spatial and temporal distribution of regional precipitation, and also reflect the regional water vapor transport status.

The above are only a few embodiments of the application, and do not limit the application in any form. Although the application is disclosed as above with preferred embodiments, it is not intended to limit the application. Within the scope of the technical solution of the present application, slight changes or modifications made using the technical content disclosed above are equivalent to equivalent implementation cases, and all belong to the scope of the technical solution.

Claims (8)

1. a method for determining regional atmospheric precipitation pattern index, is characterized in that, described method comprises: Acquiring the precipitation data of the time period to be measured in the research area, the precipitation data including the daily precipitation of the time period to be measured in the research area; Divide the daily precipitation into multiple levels from small to large, and obtain the cumulative rainfall day percentage and cumulative rainfall percentage for each level; According to the percentage of cumulative rainfall days and the percentage of cumulative rainfall of each level, the relationship curve of cumulative rainfall days and cumulative rainfall is drawn in a plane Cartesian coordinate system; Calculate and obtain the regional precipitation concentration index CI according to the quadrant bisector of the first quadrant of the described relationship curve and the plane Cartesian coordinate system; Calculate the regional precipitation index M according to the regional precipitation concentration index CI; Obtain the total water vapor transport flux Q of the entire atmosphere per unit column of the study area, and calculate the water vapor transport flux information entropy N _i according to the total water vapor transport flux Q; Calculate the regional water vapor transport index T according to the total water vapor transport flux Q and the water vapor transport flux information entropy N _i ; The regional atmospheric precipitation pattern index R is calculated according to the regional precipitation index M and its standard deviation, and the regional water vapor transport index T and its standard deviation. 2. The determination method according to claim 1, wherein the daily precipitation is divided into multiple levels from small to large, and the cumulative rainfall day percentage and cumulative rainfall percentage of each level are obtained, Specifically include: The daily precipitation is divided into multiple levels from small to large, and the number of precipitation days corresponding to the daily precipitation of each level is obtained, which is recorded as a rainy day; Obtain the product of the rainfall day and the daily precipitation of the corresponding level, and record the product as the rainfall of each level; According to the rainfall days and the rainfall of each level, the cumulative rainfall day percentage and the cumulative rainfall percentage of each level are obtained. 3. The determination method according to claim 2, wherein the regional precipitation concentration index CI is the area of the area enclosed by the relationship curve and the quadrant bisector of the first quadrant of the plane Cartesian coordinate system. 4. according to the described determination method of any one of claim 1-3, it is characterized in that, described precipitation data also comprises the total precipitation days of the period to be measured in the study area; The calculation of the regional precipitation index M according to the regional precipitation concentration index CI specifically includes: Obtain the rainfall intensity I of the study area according to the daily precipitation and the total precipitation days; Calculate the standard deviation σ I of the rainfall intensity _I and the standard deviation σ CI of the regional precipitation concentration index _CI ; The regional precipitation index M is calculated by a first formula, and the first formula is:

The value of parameter n is calculated by a second formula, which is:

5. The determination method according to claim 1, wherein said obtaining the total water vapor transport flux Q of said research area specifically comprises: The total water vapor transport flux Q is calculated according to the third formula, and the third formula is:

in,

Q _λ =W _m ×u,

is the water vapor flux transported in the meridional direction, Q _λ is the water vapor transported in the latitudinal direction, W _m is the water vapor content in the air column per unit area in the atmosphere, v is the latitudinal wind speed of each layer of the atmosphere, and u is the radial direction of each layer of the atmosphere wind speed; According to the fourth formula, the water vapor content W _m in the air column per unit area in the atmosphere is calculated, and the fourth formula is:

In the formula, q is the specific humidity, g is the acceleration of gravity, p _s is the surface air pressure, and p is the air pressure at the top of the atmosphere. 6. The determination method according to claim 5, wherein the calculation of the water vapor transport flux information entropy N _i according to the total water vapor transport flux Q includes: Calculate the water vapor transport flux information entropy N _i according to the fifth formula, the fifth formula is:

Among them, N _i is the water vapor transport flux information entropy of the i-th year, s is the time length of the time period to be measured, q _{i, j} is the contribution rate of single precipitation water vapor transport; Calculate the single precipitation water vapor transport contribution rate q _i,j according to the sixth formula, the sixth formula is:

Among them, Q _{i, j} is the total water vapor transport flux in the jth month of the i-th year, and Q _i is the total water vapor transport flux in the i-th year. 7. The determination method according to claim 5, wherein the calculation of the regional water vapor transport index T according to the total water vapor transport flux Q and the water vapor transport flux information entropy _Ni includes: Calculate the regional water vapor transport index T according to the seventh formula, the seventh formula is:

Calculate the value of the parameter m by the eighth formula, the eighth formula is:

Wherein, σ _Q is the standard deviation of the total water vapor transport flux Q, and the σ _N is the standard deviation of the water vapor transport flux information entropy N _i . 8. The determination method according to claim 1, characterized in that, the regional atmospheric precipitation pattern index R is calculated according to the regional precipitation index M and its standard deviation, and the regional water vapor transport index T and its standard deviation , including: Calculate the regional atmospheric precipitation pattern index R according to the ninth formula, and the ninth formula is:

The value of the parameter s is calculated by a tenth formula, which is:

Wherein, σ _T is the standard deviation of the regional water vapor transport index T, and the σ _M is the standard deviation of the regional precipitation index M.

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