KR101369814B1 - Method and apparatus for estimating roughness coefficient using field data of vegetated rivers - Google Patents

Abstract

The present invention relates to a method and apparatus for calculating and analyzing roughness coefficients of vegetation streams using field measurement data consisting of grass, shrubs, and trees for analyzing the flow resistance of streams. .
According to the present invention, a method of calculating a roughness coefficient using field data of a vegetation stream includes: a first step of inputting field measurement data of a vegetation stream into an input module; A second step of the illuminance coefficient calculating module calculating an illuminance coefficient for the field measurement data inputted through the input module; A third step of analyzing, by the illuminance coefficient analysis module, the illuminance coefficient calculated in the second step; And a fourth step of outputting the analyzed roughness coefficient by the roughness coefficient output module.

Description

Method and Apparatus for Estimating Roughness Coefficient Using Field Data of Vegetation Rivers {METHOD AND APPARATUS FOR ESTIMATING ROUGHNESS COEFFICIENT USING FIELD DATA OF VEGETATED RIVERS}

The present invention relates to a method and apparatus for estimating roughness coefficients of eating streams, and more particularly, using field measurement data consisting of grass, shrubs, and trees for analyzing the flow resistance of streams. The present invention relates to a method and apparatus for calculating and analyzing roughness coefficients of vegetation streams.

The resistance to flow in waterways causes changes in flow rates due to vegetation and bedding on the banks and banks. The flow resistance can be classified into surface friction of the surface, drag which is a resistance due to shape, wave resistance due to surface distortion, and abnormal state of flow due to local acceleration.

The resistance characteristics of vegetation in rivers are closely related to flow conditions and vegetation structure, which have various distributions depending on the topographical characteristics of rivers, the location of waterway sections, and the degree and extent of distribution of vegetation species.

The relationship between friction slope and flow rate in a stream is governed by vegetation and stream material resistance to flow, and resistance to stream flow is caused by primitive variability such as friction, bed irregularities, vegetation bed contours, channel alignments, etc. do.

The source of channel roughness in rivers is the frictional resistance associated with the generation of shear stress along the channel boundary. Vegetation, consisting of grass, shrubs and trees, is an important component of stream ecosystems that reduce water erosion and provide a variety of habitats for waterways, banks, and aquatic animals.

Regarding the technique for analyzing the flow of rivers, Korean Patent Laid-Open Publication No. 10-2010-0044371 relates to a method and apparatus for numerical analysis of river fluctuations in natural rivers, which occur in natural streams in which linear and curved channel shapes are mixed. Techniques for accurately simulating bed changes that can occur under various conditions are disclosed.

However, such a conventional technique is a technique for simulating river bed fluctuations that may occur in a river, and a method of estimating roughness coefficient in consideration of vegetation characteristics cannot be expected. There is also a limit to understanding the underlying variability of all resistance to flow in vegetation streams.

An object of the present invention is to provide a method and apparatus for estimating roughness coefficients using field data of vegetation streams that can derive the roughness coefficients of vegetation stream flow through field measurement data. It is done.

In addition, the present invention analyzes the roughness coefficient of the vegetation data to present the distribution range for each type, the method of calculating the roughness coefficient using the field data of the vegetation stream that can derive the roughness coefficient relation function as a function of the flow rate and the friction slope It is for the purpose of providing a device.

In addition, an object of the present invention is to provide a method and apparatus for estimating roughness coefficient using field data of vegetation river which can be utilized for manual practice by deriving a relative diving ratio and shear rate ratio relation.

However, the object of the present invention is not limited to the above-mentioned objects, and other objects not mentioned can be clearly understood by those skilled in the art from the following description.

In order to achieve the above object, the method of calculating the roughness coefficient using the field data of the vegetation stream according to the present invention comprises the first step of inputting the field measurement data of the vegetation stream to the input module; A second step of the illuminance coefficient calculating module calculating an illuminance coefficient for the field measurement data inputted through the input module; A third step of analyzing, by the illuminance coefficient analysis module, the illuminance coefficient calculated in the second step; And a fourth step of outputting the analyzed roughness coefficient by the roughness coefficient output module.

The method of calculating the roughness coefficient using the field data of the vegetation stream according to the present invention is characterized in that the field measurement data is vegetation data for the herb, shrub and arbor.

In the method of estimating roughness coefficient using the field data of vegetation stream according to the present invention, the vegetation data ranges from the minimum value and the maximum value of the flow rate, friction slope, median particle size, average velocity, and depth for the herbaceous, shrubs and trees. Characterized in that consists of.

The method of calculating the roughness coefficient using the field data of the vegetation stream according to the present invention is characterized in that in the second step, the roughness coefficient is calculated using the following relational expression.

Where Q is the flow rate (m3 / s), S _f is the friction gradient, α _{f LJveg} is a constant, and β _{f LJveg} is the exponent.

In the third step, the method of calculating the roughness coefficient using the field data of the vegetation stream according to the present invention is characterized in that the roughness coefficient is analyzed using a box-whisker quartile analysis method.

Calculation of the roughness coefficient method using the field data of vegetation stream according to the present invention, wherein the number of the light meter in step 3, wherein the parameter for the number to the number of the light meter roughness calculated in step 2 (fQ ^{1/4 /} It characterized in that the analysis using a S _f ^1/3).

The method of calculating the roughness coefficient using the field data of the vegetation stream according to the present invention is characterized in that in the second step, the roughness coefficient is calculated using the following relational expression.

Where Q is the flow rate (m 3 / s), S _f is the friction gradient, α _{n LJveg} is a constant, and β _{n LJveg} is the exponent.

Calculation of the roughness coefficient method using the field data of vegetation stream according to the present invention, in the third step can be the roughness is the second parameter for the number to the number of the light meter roughness calculated in the step 2, a variable (nQ ^{1/8 /} It characterized in that the analysis using a S _f ^1/6).

The method of calculating the roughness coefficient using the field data of the vegetation stream according to the present invention is characterized in that, after the third step, the shear rate ratio for the relative diving ratio is calculated from the field measurement data using the curve fitting method. .

An apparatus for estimating roughness coefficients using field data of vegetation streams according to the present invention includes: an input module for inputting field measurement data including vegetation data for herbs, shrubs, and trees of vegetation streams; An illuminance coefficient calculation module for calculating an illuminance coefficient for the field measurement data inputted to the input module; An illuminance coefficient analysis module for analyzing the illuminance coefficient calculated by the illuminance coefficient calculation module; And an illuminance coefficient output module for outputting an illuminance coefficient analyzed by the illuminance coefficient analysis module.

Apparatus for estimating the roughness coefficient using field data of vegetation stream according to the present invention is a relative diving ratio / shear rate ratio calculation module for calculating the shear rate ratio for the relative diving ratio from the field measurement data using the curve fitting method It further comprises.

According to the method and apparatus for calculating the roughness coefficient using the field data of the vegetation stream of the present invention, the roughness coefficient of the vegetation stream flow can be derived from the field measurement data, and the roughness coefficient of the vegetation data is analyzed and distributed according to the type. By presenting the range, it is advantageous to derive the roughness coefficient relation which is a function of the flow rate and the friction slope.

In addition, according to the present invention, there is an advantage that can be utilized in manual practice by deriving the relative diving ratio and shear rate ratio relationship.

1 is a block diagram showing a device for estimating roughness coefficients using field data of vegetation streams according to the present invention.
2 is a flowchart illustrating a method of calculating the roughness coefficient using field data of vegetation stream according to the present invention.
3 is a view showing an experimental example of the relationship analysis of the flow rate-roughness coefficient of vegetation streams induced by the curve fitting method according to the present invention.
4 is a view showing an experimental example of the relationship analysis of the friction gradient roughness coefficient of vegetation stream induced by the curve fitting method according to the present invention.
5 is an exemplary view showing the analysis of the roughness coefficient according to the present invention.
6 is an exemplary view showing an analysis of parameters according to the present invention.
7 is a view showing an experimental example of the relationship analysis of the flow rate-roughness coefficient of the vegetation stream induced by the curve fitting method according to the present invention.
8 is a diagram illustrating an experimental example of a relationship analysis of friction inclination-roughness coefficients of vegetation streams induced by the curve fitting method according to the present invention.
9 is an exemplary view showing the analysis of the roughness coefficient according to the embodiment of the present invention.
10 is an exemplary view showing an analysis of parameters according to the present invention.
11 is an exemplary view showing the relationship of the shear rate ratio to the relative diving ratio in the field data of the vegetation stream of the present invention.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS Hereinafter, a detailed description of preferred embodiments of the present invention will be given with reference to the accompanying drawings. In the following description of the present invention, detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

Embodiments in accordance with the concepts of the present invention can make various changes and have various forms, so that specific embodiments are illustrated in the drawings and described in detail in this specification or application. It is to be understood, however, that it is not intended to limit the embodiments according to the concepts of the present invention to the particular forms of disclosure, but includes all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. Singular expressions include plural expressions unless the context clearly indicates otherwise. In this specification, the terms "comprises ",or" having ", or the like, specify that there is a stated feature, number, step, operation, , Steps, operations, components, parts, or combinations thereof, as a matter of principle.

1 is a block diagram showing a device for calculating the roughness coefficient using the field data of the vegetation stream according to the present invention, Figure 2 is a flow chart showing a method of calculating the roughness coefficient using the field data of the vegetation stream according to the present invention.

Referring to the drawings, the device for calculating the roughness coefficient using the field data of vegetation stream 100, input module 110, roughness coefficient calculation module 120, roughness coefficient analysis module 130, relative diving ratio / shear rate It may include a ratio calculation module 140 and the illumination coefficient output module 150.

The input module 110 receives field measurement data including vegetation data consisting of herbs, shrubs, and trees of vegetation streams (S101). Field survey data can be in the range of minimum and maximum values for flow, friction slope, median diameter, average velocity, and depth for herbaceous, shrub, and arbor.

The illuminance coefficient calculation module 120 may calculate an illuminance coefficient for the field measurement data input to the input module 110 (S102). The roughness coefficient calculation module 120 derives the roughness coefficient from the following Darcy-Whisker roughness coefficient relational expression (Equation 1) or manning roughness coefficient relational expression (Equation 2) with respect to field measurement data. Can be.

[Formula 1]

(Where Q is the flow rate (m 3 / s), S _f is the friction slope, α _{f LJveg} is a constant, and β _{f LJveg} is an index.

[Formula 2]

(Where Q is the flow rate (m 3 / s), S _f is the friction slope, α _{n LJveg} is a constant, and β _{n LJveg} is the index.

The roughness coefficient analysis module 130 analyzes the roughness coefficient calculated by the roughness coefficient calculating module 120 through the respective roughness coefficient relational expressions (S103). The roughness coefficient analysis module 130 uses the curve fitting method and the Box-Whisker quartile method to facilitate the analysis of the variability of data. , Darcy-in light meter number relationship in the vise Bach fQ ^1/4 / S _f ^1/3, Manning roughness can relational expression can be analyzed for distribution characteristics _{^{nQ 1/8 / S f 1}} /6). The data analyzed through the illuminance coefficient analysis module 130 is output through the illuminance coefficient output module 150 (S104).

The box-whisker method uses a box to display statistically analyzed data, with the bottom and top of the box always positioned at the first and third quarters, with 2 / in the middle of the box. Place the median, which is the quartile. The maximum and minimum values are at the bottom and top. Such analytical methods not only facilitate the statistical analysis of many data, but also facilitate the identification of data variability.

In addition, in the relative diving ratio / shear speed ratio calculation module 140 of the roughness coefficient calculating device 100 of the present invention, it is possible to calculate the relationship between the relative diving ratio and the shear rate ratio from the vegetation data using the curve fitting method.

Field measurement data of vegetation rivers according to the present invention consisted of 739 data. These data were used to analyze the distribution of Darcy-Vicebaja and Manning roughness coefficients for the flow rate and friction gradient, and to derive the relations, and to derive the relationship between relative diving ratio and shear velocity ratio.

Field data were classified into grasses, shrubs and trees based on vegetation classification criteria, and classified into 281 herbs, 150 shrubs and 308 trees. As shown in Table 1, these vegetation data are presented in the range of the minimum and maximum values of flow rate, friction slope, median particle size, average flow velocity, and depth.

[Table 1]

In addition, about the flow volume and the friction inclination, as shown in Table 2, the distribution range can be subdivided and shown.

[Table 2]

In the experimental example of the present invention, using the vegetation data shown in Table 1 and Table 2, as well as the friction gradient (S _f ) and the flow rate (Q) for the Darcy-Wisbabah roughness coefficient (f) and the manning roughness coefficient (n) , parameters _{^{(fQ 1/4 / S f}} 1/3, nQ 1/8 / S f 1/6) and the relative relationship of the diving ratio and a shear rate ratio (Manning-registry clutch (manning-Strickler) relation) ( analyzes for h / d _s -V / v _* ) are performed respectively.

In particular, the roughness coefficients f and n, the parameters are performed by box-whisker quartile analysis, and the quartile (%) analysis shows the minimum value of the top 1% of the target data as the bottom horizontal line, The median and above and below it are the top 25% and 75% values, representing the maximum value with 100% of the top horizontal line.

Experimental Example 1 Darcy-Weisbach Roughness Coefficient (f)

Vegetation streams The 739 vegetation data are composed of herbaceous plants, shrubs, and trees. Using these data, the Darcy-Weissbaja roughness relationship can be derived by curve fitting method as a function of flow rate (Q) and friction slope (S _f ), as shown in Tables 1 and 2.

와

인 멱함수 형으로 유도된다. 여기서, Q = 유량(㎥/s)이고, S_f = 마찰경사이며, α_{f· LJveg}, β_{f· LJveg}는 식생하천의 다르시-바이스바하 조도계수 관계식에 대한 상수와 지수를 나타낸다.
In vegetation streams, the Darcy-Weissbaja roughness coefficient

Wow

It is derived from the power function form. Where Q = flow rate (m 3 / s) and S _f = Friction inclination, α _{f · LJveg} , β _{f · LJveg} represent the constants and exponents for the Darcy- _Weissbaha roughness coefficient relation of vegetation streams.

와

로 유도된다. 실제 하천에서 식생은 초본, 관목, 교목 들이 혼합돼 있는 점을 고려한다면 이들 관계식은 실용적 측면에서 유용하게 활용될 수 있다.
The relation of roughness coefficient for each repair amount is

Wow

Is induced. Considering the fact that vegetation is a mixture of herbs, shrubs, and arbors in a stream, these relationships can be useful for practical purposes.

3 and 4 are Darcy about 739 of data for each vegetation stream-box of the vice Bach roughness can (f) and parameters _{^{(fQ 1/4 / S f}} 1/3) - represents a whisker The results of this analysis The results are shown in more detail in Table 3.

[Table 3]

In the vegetation stream data of the roughness coefficient (f) of FIG. 21,462 and 739 data were 0.015 to 12.462, respectively.

Figure 4 of the light meter can (f) and parameters _{^{(fQ 1/4 / S f}} 1/3) as compared to the analysis results, the average value of the ratio and the upper / middle value (3/4) for the value / upper (1/4 In the ratio of), these mean values were 3.6, 3.9 and 1.6, 2.4.

Experimental Example 2 Manning Roughness Coefficient (n)

Vegetation streams The 739 vegetation data are composed of herbaceous plants, shrubs, and trees. Using these data, Manning's roughness coefficient relation can be derived by curve fitting method as a function of flow rate Q and friction slope S _f , as shown in FIGS. 7 and 8.

,

인 멱함수 형으로 유도된다. 여기서, Q = 유량(㎥/s)이고, S_f = 마찰경사이며, α_{n· LJveg}, β_{n· LJveg}는 하천에 대한 매닝 조도계수 관계식의 상수와 지수를 각각 나타낸다. 각 수리량에 대한 조도계수 관계식은

,

로 각각 유도된다. 실제 하천에서 식생은 초본, 관목, 교목들이 혼합돼 있는 점을 고려한다면 이들 관계식은 실용적 측면에서 유용하게 활용될 수 있다.
Manning's roughness relationship for these data is

,

It is derived from the power function form. Here, Q = flow rate (m 3 / s), S _f = friction inclination, and α _{n · LJveg} and β _{n · LJveg} represent constants and exponents of the Manning roughness coefficient relational expression for the stream, respectively. The roughness coefficient relation for each repair amount is

,

To each. Considering the fact that vegetation is a mixture of herbaceous plants, shrubs, and arbors in the rivers, these relations can be useful for practical purposes.

9 and 10 the box Manning roughness number (n) and the parameter _{^{(nQ 1/8 / S f}} 1/6) to 739 of data each vegetation rivers - represents a whisker analysis results, the table the results of this analysis 4 is shown in more detail.

[Table 4]

In the vegetation stream data of the roughness coefficient (n) of FIG. 9, the box-whisker analysis results are as shown in Table 4, and 0.012 to 0.250 for 281 herbaceous materials, 0.016 to 0.250 for 150 shrubs, and 0.018 for 308 trees. In the total of ˜0.310 and 739 data, it was 0.015 to 0.310.

Figure 10 roughness meter of the (n) and the parameter _{^{(nQ 1/8 / S f}} 1/6) as compared to the analysis results, the average value of the ratio and the upper / middle value (3/4) for the value / upper (1/4 In the ratio of), these mean values were 1.1, 1.6 and 1.1, 1.6, and showed the same ratio.

[Relationship between Relative Diving Ratio and Shear Rate Ratio]

로 각각 유도되었고, 상대 잠수비(h/d₅₀)와 전단 속도비(V/v_*)에 대한 관계식은 실용 목적 및 수리학적 거친 경계인 식보다 우수한 값을 갖는

로 유도되었다.
FIG. 11 derives the relationship between relative diving ratio (h / d ₅₀ ) and shear rate ratio (V / v _* ) of 739 data by semi-experimental method through curve fitting method. As shown in Fig. 11, the Manning-Strikler relation has a coefficient of h / d ₅₀ term of 5.3 slightly larger than 5 and an index of 1 / 8.3 slightly smaller than 1/6.

The relationship between relative diving ratio (h / d ₅₀ ) and shear rate ratio (V / v _* ) is better than that of practical purpose and hydraulic rough boundary.

Was induced.

[Experiment result]

As shown in Table 5, the data of the vegetation stream composed of the herb, shrub and arbor used in the present invention were analyzed to have values of Darcy-Wisbaja roughness coefficient (f) and manning roughness coefficient (n).

[Table 5]

These data are 0.016-6.121 for the 281 herbaceous data, 0.015-12.910 for the 150 shrubs, 0.030-21.462 for the 308 trees, and 0.015-12.462 for the 739 total data in the Darcy-Wisbaja roughness coefficient (f). The Manning roughness coefficients (n) ranged from 0.015 to 0.250 for 281 herbaceous materials, 0.016 to 0.250 for 150 shrubs, and 0.018 to 0.310 for 308 trees, and 0.015 to 0.310 for 739 total data.

In the box-whisker analysis, at the top 25% and 75% of Darcy-Wisbaha's roughness coefficients, the herb ranged from 0.065 to 0.245, the shrub from 0.078 to 0.309, the tree from 0.066 to 0.034, and the overall average was 0.07 to 0.27. The roughness coefficients of Manning were 0.029 to 0.055 for the herb, 0.031 to 0.064 for the shrub, 0.031 to 0.037 for the arbor, and 0.03 to 0.05 for the overall average.

TABLE 6

Table 6 shows the analysis of the Darcy-Vicebaja and Manning's roughness coefficients and parameters by the box-whisker, the average value / median value, and the upper (3/4) / higher (1/4).

As shown in Table 6, the average value / median value of the Darcy-Wisebaja roughness coefficient and the parameters and the average value of the upper (3/4) / upper (1/4) are 3.6, 3.9, 1.6 and 2.4. In the case of Manning's roughness coefficients and parameters, the average values are 1.3, 1.7, 1.1, and 1.6.

In the present invention, Darcy-vice to Bach parameter _{^{fQ 1/4 / S f 1}} / a parameter of the ^third and Manning using _{^{nQ 1/8 / S f 1}} /6 the box a roughness number of relationships between flow rate and friction slope - Analyzes were carried out by whisker analysis. Using this method, it was possible to easily identify the variability of the data and to present the distribution range of illuminance coefficients of Darcy-Wisbach and Manning and to analyze the parameters accurately.

In the case of the Darcy-Weissbaha roughness coefficient (f), the roughness coefficient (n) of the manning is 1.27, whereas the mean / median value and (3/4) quartile / (1/4) quartile are 2.7 to 4.25 and 3.09 to 5.00. -1.38, 1.19-2.05. In addition, the values of each parameter were 1.32-2.06, 2.00-3.08, 1.06-1.13, 1.51-1.71, indicating that Darcy-Wisbaha's roughness coefficient or parameter is more volatile than Manning's roughness coefficient or parameter. .

As described above, according to the present invention, it is possible to derive the roughness coefficient of the vegetation stream flow through the field measurement data of the vegetation stream, and also to analyze the roughness coefficient of the vegetation data and to present the distribution range for each type, thereby indicating the flow rate and the friction inclination. By inducing the roughness coefficient as a function, it can be usefully used for manual work.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. will be. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

100: roughness coefficient calculating device 110: input module
120: roughness coefficient calculation module 130: roughness coefficient analysis module
140: relative diving ratio / shear speed ratio calculation module
150: roughness coefficient output module

Claims (16)

In the method of estimating roughness coefficient of vegetation stream using field data of vegetation stream,
A first step of inputting, by the input module, field measurement data of vegetation streams including vegetation data consisting of a range of minimum and maximum values for flow rate, friction slope, median diameter, average velocity, and depth for herbs, shrubs, and trees;
A second step of the illuminance coefficient calculating module calculating an illuminance coefficient for the field measurement data inputted through the input module;
A third step of analyzing the roughness coefficient calculated by the roughness coefficient analyzing module using a box-whisker quartile method; And
And a fourth step of outputting the analyzed roughness coefficient by the roughness coefficient output module.
The method of calculating the roughness coefficient using the field data of the vegetation stream, characterized in that in the second step, the roughness coefficient calculation module calculates the roughness coefficient using the following relational expression.

Where Q is the flow rate (m3 / s), S _f is the friction gradient, α _{f LJveg} is a constant, and β _{f LJveg} is the exponent.
delete delete delete delete The method of claim 1,
In the third step, the roughness coefficient is analyzed using the roughness coefficient calculated in the second step and the parameter (fQ ^1/4 / S _f ^1/3 ) for the roughness coefficient. Calculation method of roughness coefficient using field data.
In the method of estimating roughness coefficient of vegetation stream using field data of vegetation stream,
A first step of inputting, by the input module, field measurement data of vegetation streams including vegetation data consisting of a range of minimum and maximum values for flow rate, friction slope, median diameter, average velocity, and depth for herbs, shrubs, and trees;
A second step of the illuminance coefficient calculating module calculating an illuminance coefficient for the field measurement data inputted through the input module;
A third step of analyzing the roughness coefficient calculated by the roughness coefficient analyzing module using a box-whisker quartile method; And
And a fourth step of outputting the analyzed roughness coefficient by the roughness coefficient output module.
The method of calculating the roughness coefficient using the field data of the vegetation stream, characterized in that in the second step, the roughness coefficient calculation module calculates the roughness coefficient using the following relational expression.

Where Q is the flow rate (m3 / s), S _f is the friction gradient, α _{n LJveg} is a constant, and β _{n LJveg} is the exponent.
delete The method of claim 7, wherein
In the third step, the roughness coefficient is analyzed by using the roughness coefficient calculated in the second step and the parameter (nQ ^1/8 / S _f ^1/6 ) for the roughness coefficient. Calculation method of roughness coefficient using field data.
8. The method of claim 1 or 7,
After the third step, the method of calculating the roughness coefficient using the field data of vegetation stream, characterized in that for calculating the shear rate ratio relative to the relative diving ratio from the field measurement data using the curve fitting method.
Apparatus for Estimating Roughness Coefficient Using Field Data of Vegetation River,
An input module for inputting field measurement data including vegetation data consisting of a range of minimum and maximum values for flow rate, friction slope, median particle size, average velocity, depth of vegetation, shrubs, and trees;
An illuminance coefficient calculation module for calculating an illuminance coefficient for the field measurement data inputted to the input module;
An illuminance coefficient analysis module for analyzing the illuminance coefficient calculated by the illuminance coefficient calculation module using a box-whisker quartile method; And
And an illuminance coefficient output module configured to output an illuminance coefficient analyzed by the illuminance coefficient analysis module.
The illuminance coefficient calculation module is calculated using the field data of vegetation river, characterized in that for calculating the illuminance coefficient using the following relation.

Where Q is the flow rate (m3 / s), S _f is the friction gradient, α _{f LJveg} is a constant, and β _{f LJveg} is the exponent.
delete delete Apparatus for Estimating Roughness Coefficient Using Field Data of Vegetation River,
An input module for inputting field measurement data including vegetation data consisting of a range of minimum and maximum values for flow rate, friction slope, median particle size, average velocity, depth of vegetation, shrubs, and trees;
An illuminance coefficient calculation module for calculating an illuminance coefficient for the field measurement data inputted to the input module;
An illuminance coefficient analysis module for analyzing the illuminance coefficient calculated by the illuminance coefficient calculation module using a box-whisker quartile method; And
And an illuminance coefficient output module configured to output an illuminance coefficient analyzed by the illuminance coefficient analysis module.
The illuminance coefficient calculation module is calculated using the field data of vegetation river, characterized in that for calculating the illuminance coefficient using the following relation.

Where Q is the flow rate (m3 / s), S _f is the friction gradient, α _{n LJveg} is a constant, and β _{n LJveg} is the exponent.
delete 15. The method according to claim 11 or 14,
Calculation of roughness coefficient using field data of vegetation stream further comprising a relative diving ratio / shear rate ratio calculation module for calculating the shear rate ratio for the relative diving ratio from the field measurement data using a curve fitting method Device.

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