CN107993157A - A kind of influence recognition methods of grassland vegetation root system to Slope-Runoff - Google Patents
A kind of influence recognition methods of grassland vegetation root system to Slope-Runoff Download PDFInfo
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- CN107993157A CN107993157A CN201711115379.0A CN201711115379A CN107993157A CN 107993157 A CN107993157 A CN 107993157A CN 201711115379 A CN201711115379 A CN 201711115379A CN 107993157 A CN107993157 A CN 107993157A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A10/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE at coastal zones; at river basins
- Y02A10/40—Controlling or monitoring, e.g. of flood or hurricane; Forecasting, e.g. risk assessment or mapping
Abstract
The present invention discloses a kind of influence recognition methods of grassland vegetation root system to Slope-Runoff, including step：Analysis and research area grassland vegetation, obtains N kind grassland vegetation types and respective area；For the N kinds grassland vegetation type, with choosing representative experiment sample respectively, sampled, obtain grassland vegetation Aboveground Biomass of Young and grassland vegetation Underground biomass, the ratio of different grassland vegetation above and below ground biomass is calculated；Draw grassland vegetation above and below ground biomass aggregative relative value；Inverting obtains research area's grassland vegetation Aboveground Biomass of Young；Obtain research area's grassland vegetation Underground biomass；Obtain research area production flow data；By building the relation of research area's grassland vegetation Underground biomass and production stream, so that influence of the quantitative judge grassland vegetation root system to Slope-Runoff.
Description
Technical field
The present invention relates to Hydrology and Water Resources technical field, and specifically, the present invention relates to a kind of grassland vegetation root system
Recognition methods is influenced on Slope-Runoff.
Background technology
The Global land largest surface area that Grassland vegetation cover change influences, thus with the horizontal close phase of ecosystem health
Close.Unreasonable grassland vegetation covering directly contributes the decline of grassland vegetation quality and quantity, further, since the change of underlying surface and
The problems such as triggering weather, the hydrology and geological disaster is also emerged in an endless stream.The decline of surface vegetation quality and quantity, causes global gas
System imbalance is waited, the destruction of other Biotope Landscapes is accelerated, reduces bio-diversity.
Grassland vegetation shut off by blade face and root system of plant to the consolidation of soil to conserve water and soil, water conservation,
Improve soil fertility.Early-stage study shows that grassland vegetation coverage is higher, and the effect of its prevention soil and water loss is better.
Ability for the grassland vegetation fixing of soil and conservation of water for how removing to judge unit area, is generally divided into two parts, when
Crown_interception of the blade face of grassland vegetation ground to precipitation；Second, consolidation of the grassland vegetation underground root system to soil.For
To the crown_interception of precipitation, it is big that the methods of can passing through leaf area index, calculates its leaf area for the blade face part of grassland vegetation ground
It is small, estimate its size to On Rainfall Interception ability.However, the research for the consolidation of underground root system part is relatively seldom.
The biomass size of root system can characterize the close thin degree of root system, the close thin degree of root system and the consolidation of root system to a certain extent
Effect and soil crust are closely bound up.
By the size of quantitative estimation grassland vegetation underground biomass, there is one clearly to recognize to producing stream in slope surface environment
Know, can be that Slope-Runoff and Process of Confluence, corresponding water resource change and management, flood prevention etc. provide theoretical foundation, in addition, right
The hydrology research of the slope surface such as the understanding of water movement, the distribution to Soil Slope water is most important in slope surface.Therefore, qualitative assessment
Influence of the grassland vegetation root system to Slope-Runoff is particularly significant.
The content of the invention
Recognition methods is influenced on Slope-Runoff the object of the present invention is to provide a kind of grassland vegetation root system, passes through grassland establishment
Vegetation Underground biomass and the quantitative relationship of Slope-Runoff amount, influence of the identification grassland vegetation root system to Slope-Runoff.
In order to solve the above technical problems, the present invention provides a kind of grassland vegetation root system influences recognition methods to Slope-Runoff,
Including step：
(1) analysis and research area grassland vegetation, obtains N kind grassland vegetation types and respective area Ai(i=1,2 ...,
N)；
(2) the N kinds grassland vegetation type is directed to, with choosing representative experiment sample respectively, is sampled, obtained
Grassland vegetation Aboveground Biomass of Young (Si) and grassland vegetation Underground biomass (Si'), different grassland vegetations are calculated
Ratio (the P of upper-underground biomassi)；
(3) according to the ratio (P of different grassland vegetation ground-underground biomassesi) and different grassland vegetation type areas
(Ai), draw grassland vegetation ground-underground biomass aggregative relative value (P)；
(4) by inverting, research area's grassland vegetation Aboveground Biomass of Young (S) obtained by inverting is obtained；
(5) the research area grass according to obtained by the grassland vegetation ground-underground biomass aggregative relative value (P) and the inverting
Ground vegetation Aboveground Biomass of Young (S) obtains research area's grassland vegetation Underground biomass (S')；
(6) research area production flow data is obtained；
(7) by building the relation of research area's grassland vegetation Underground biomass (S') and production stream, so that quantitative judge
Influence of the grassland vegetation root system to Slope-Runoff.
In a preferred embodiment, in the step (1), the N kinds grassland vegetation type passes through to studying area's remote sensing
Image data carries out processing analysis and obtains.In an alternative em bodiment, in the step (1), the N kinds grassland vegetation type
Obtained by multiple features spectrum segment.
In a preferred embodiment, in the step (2), when with choosing representative experiment sample respectively, institute
Refer to the grassland vegetation experimental site of the representative meaning in the range of research area with stating experiment sample, 10m*10m's
In sample prescription, five points are chosen, each sample area takes the sample of 1m*1m according to meadow standard for manual sampling respectively.
In a preferred embodiment, in the step (2), the ratio of the difference grassland vegetation ground-underground biomass
It is worth (Pi) it is to gather the grassland vegetation Aboveground Biomass of Young (S by testingi) and the grassland vegetation Underground biomass
(Si') obtained by data, calculation formula is：Pi=f (Si,Si'), f (Si,Si') it is PiWith SiAnd Si' between statistical relationship.
In a preferred embodiment, in the step (3), the grassland vegetation ground-underground biomass aggregative relative value
(P) calculation formula is：
In a preferred embodiment, in the step (4), adopt remote sensing techniques gathered data, then passes through inverting
Method, obtaining research area's grassland vegetation Aboveground Biomass of Young (S), calculation formula obtained by inverting is：
S research area's grassland vegetation Aboveground Biomass of Young obtained by inverting, NDVI are normalized differential vegetation index, and NIR and R divide
Reflectance value that Wei be near infrared band and red wave band；Statistical relationships of the f (NDVI) between S and NDVI.
In a preferred embodiment, in the step (5), integrated according to the grassland vegetation ground-underground biomass
Research area's grassland vegetation Aboveground Biomass of Young (S) obtained by ratio (P) and the inverting obtains research area grassland vegetation underground
The calculation formula of part biological amount (S') is：
In a preferred embodiment, in the step (6), on research area production flow data, there is water for basin outlet
The research area of literary monitoring station, directly uses measuring runoff data, if not calculated or being distributed using water balance formula
Formula hydrological model is simulated.
In a preferred embodiment, in the step (7), the relation of vegetation root system biomass and production stream is specific to calculate
For：
R=f (S'),
S' is research area's grassland vegetation Underground biomass, and R is runoff yield, and statistics of the f (S') between S' and R is closed
System.
The above-mentioned statistical relationship referred to can be linear, index or One- place 2-th Order fitting.
Influence recognition methods of a kind of grassland vegetation root system to Slope-Runoff according to the present invention, quantitative estimation grassland vegetation
The size of underground biomass, is that Slope-Runoff and Process of Confluence, corresponding water resource change and management, flood prevention etc. provide theory
Foundation.
Brief description of the drawings
Hereinafter it is described more fully with reference to the accompanying drawings some example embodiments of the present invention；However, the present invention can be with
Embody in different forms, should not be considered limited to embodiments set forth herein.On the contrary, attached drawing illustrates together with specification
Some example embodiments of the present invention, and for explaining the principle of the present invention and aspect.
Fig. 1 is the flow chart according to a kind of influence recognition methods of the grassland vegetation root system of the present invention to Slope-Runoff.
Embodiment
In the following detailed description, some exemplary embodiments of the invention are illustrated simply by the mode of illustration
And description.As the skilled person will recognize, described embodiment can be changed in a variety of ways,
All without departing from the spirit or scope of the present invention.Therefore, scheme and describe to be considered as inherently illustrative, and
It is not limiting.
Hereinafter, a kind of grassland vegetation root system according to the present invention is more fully described with reference to the accompanying drawings to Slope-Runoff
Influence recognition methods.
As shown in fig. 1, the present invention, which provides a kind of grassland vegetation root system, influences Slope-Runoff recognition methods, including step
Suddenly：
(1) analysis and research area grassland vegetation, obtains N kind grassland vegetation types and respective area Ai(i=1,2 ...,
N)；
(2) the N kinds grassland vegetation type is directed to, with choosing representative experiment sample respectively, is sampled, obtained
Grassland vegetation Aboveground Biomass of Young (Si) and grassland vegetation Underground biomass (Si'), different grassland vegetations are calculated
Ratio (the P of upper-underground biomassi)；
(3) according to the ratio (P of different grassland vegetation ground-underground biomassesi) and different grassland vegetation type areas
(Ai), draw grassland vegetation ground-underground biomass aggregative relative value (P)；
(4) by inverting, research area's grassland vegetation Aboveground Biomass of Young (S) obtained by inverting is obtained；
(5) the research area grass according to obtained by the grassland vegetation ground-underground biomass aggregative relative value (P) and the inverting
Ground vegetation Aboveground Biomass of Young (S) obtains research area's grassland vegetation Underground biomass (S')；
(6) research area production flow data is obtained；
(7) by building the relation of research area's grassland vegetation Underground biomass (S') and production stream, so that quantitative judge
Influence of the grassland vegetation root system to Slope-Runoff.
In a preferred embodiment, in the step (1), the N kinds grassland vegetation type passes through to studying area's remote sensing
Image data carries out processing analysis and obtains.In an alternative em bodiment, in the step (1), the N kinds grassland vegetation type
Obtained by multiple features spectrum segment.
In a preferred embodiment, in the step (2), when with choosing representative experiment sample respectively, institute
Refer to the grassland vegetation experimental site of the representative meaning in the range of research area with stating experiment sample, 10m*10m's
In sample prescription, five points are chosen, each sample area takes the sample of 1m*1m according to meadow standard for manual sampling respectively.
In a preferred embodiment, in the step (2), the ratio of the difference grassland vegetation ground-underground biomass
It is worth (Pi) it is to gather the grassland vegetation Aboveground Biomass of Young (S by testingi) and the grassland vegetation Underground biomass
(Si') obtained by data, calculation formula is：Pi=f (Si,Si'), f (Si,Si') it is PiWith SiAnd Si' between statistical relationship.
In a preferred embodiment, in the step (3), the grassland vegetation ground-underground biomass aggregative relative value
(P) calculation formula is：
In a preferred embodiment, in the step (4), adopt remote sensing techniques gathered data, then passes through inverting
Method, obtaining research area's grassland vegetation Aboveground Biomass of Young (S), calculation formula obtained by inverting is：
S research area's grassland vegetation Aboveground Biomass of Young obtained by inverting, NDVI are normalized differential vegetation index, and NIR and R divide
Reflectance value that Wei be near infrared band and red wave band；Statistical relationships of the f (NDVI) between S and NDVI.
In a preferred embodiment, in the step (5), integrated according to the grassland vegetation ground-underground biomass
Research area's grassland vegetation Aboveground Biomass of Young (S) obtained by ratio (P) and the inverting obtains research area grassland vegetation underground
The calculation formula of part biological amount (S') is：
In a preferred embodiment, in the step (6), on research area production flow data, there is water for basin outlet
The research area of literary monitoring station, directly uses measuring runoff data, if not calculated or being distributed using water balance formula
Formula hydrological model is simulated.
In a preferred embodiment, in the step (7), the relation of vegetation root system biomass and production stream is specific to calculate
For：
R=f (S'),
S' is research area's grassland vegetation Underground biomass, and R is runoff yield, and statistics of the f (S') between S' and R is closed
System.
The above-mentioned statistical relationship referred to can be linear, index or One- place 2-th Order fitting.
Influence recognition methods of a kind of grassland vegetation root system to Slope-Runoff according to the present invention, quantitative estimation grassland vegetation
The size of underground biomass, is that Slope-Runoff and Process of Confluence, corresponding water resource change and management, flood prevention etc. provide theory
Foundation.
Claims (10)
1. a kind of influence recognition methods of grassland vegetation root system to Slope-Runoff, including step：
(1) analysis and research area grassland vegetation, obtains N kind grassland vegetation types and respective area Ai(i=1,2 ..., N)；
(2) the N kinds grassland vegetation type is directed to, with choosing representative experiment sample respectively, is sampled, obtains meadow
Vegetation Aboveground Biomass of Young (Si) and grassland vegetation Underground biomass (Si'), be calculated different grassland vegetations on the ground-
Ratio (the P of underground biomassi)；
(3) according to the ratio (P of different grassland vegetation ground-underground biomassesi) and different grassland vegetation type area (Ai), obtain
Go out grassland vegetation ground-underground biomass aggregative relative value (P)；
(4) by inverting, research area's grassland vegetation Aboveground Biomass of Young (S) obtained by inverting is obtained；
(5) research area meadow is planted according to obtained by the grassland vegetation ground-underground biomass aggregative relative value (P) and the inverting
Research area's grassland vegetation Underground biomass (S') is obtained by Aboveground Biomass of Young (S)；
(6) research area production flow data is obtained；
(7) by building the relation of research area's grassland vegetation Underground biomass (S') and production stream, so that quantitative judge meadow
Influence of the vegetation root system to Slope-Runoff.
2. influence recognition methods of the grassland vegetation root system according to claim 1 to Slope-Runoff, it is characterised in that in institute
State in step (1), the N kinds grassland vegetation type is obtained by carrying out processing analysis to research area's remote sensing image data.
3. influence recognition methods of the grassland vegetation root system according to claim 1 to Slope-Runoff, it is characterised in that in institute
State in step (1), the N kinds grassland vegetation type is obtained by multiple features spectrum segment.
4. influence recognition methods of the grassland vegetation root system according to claim 1 to Slope-Runoff, it is characterised in that in institute
State in step (2), when with choosing representative experiment sample respectively, refer to have in the range of research area the experiment sample
The grassland vegetation experimental site of representative meaning, in the sample prescription of a 10m*10m, chooses five points, each sample area
According to meadow standard for manual sampling, the sample of 1m*1m is taken respectively.
5. influence recognition methods of the grassland vegetation root system according to claim 1 to Slope-Runoff, it is characterised in that in institute
State in step (2), the ratio (P of the difference grassland vegetation ground-underground biomassi) it is to gather the meadow plant by testing
By Aboveground Biomass of Young (Si) and the grassland vegetation Underground biomass (Si') obtained by data, calculation formula is：Pi=f
(Si,Si'), f (Si,Si') it is PiWith SiAnd Si' between statistical relationship.
6. influence recognition methods of the grassland vegetation root system according to claim 5 to Slope-Runoff, it is characterised in that in institute
State in step (3), the calculation formula of the grassland vegetation ground-underground biomass aggregative relative value (P) is：
<mrow>
<mi>P</mi>
<mo>=</mo>
<mfrac>
<mrow>
<msubsup>
<mi>&Sigma;</mi>
<mn>1</mn>
<mi>N</mi>
</msubsup>
<msub>
<mi>P</mi>
<mi>i</mi>
</msub>
<msub>
<mi>A</mi>
<mi>i</mi>
</msub>
</mrow>
<mrow>
<msubsup>
<mi>&Sigma;</mi>
<mn>1</mn>
<mi>N</mi>
</msubsup>
<msub>
<mi>A</mi>
<mi>i</mi>
</msub>
</mrow>
</mfrac>
<mo>,</mo>
<mrow>
<mo>(</mo>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mi>N</mi>
<mo>)</mo>
</mrow>
</mrow>
7. influence recognition methods of the grassland vegetation root system according to claim 1 to Slope-Runoff, it is characterised in that in institute
State in step (4), adopt remote sensing techniques gathered data, then by the method for inverting, obtains research area meadow obtained by inverting and plants
By Aboveground Biomass of Young (S), calculation formula is：
S=f (NDVI),
S research area's grassland vegetation Aboveground Biomass of Young obtained by inverting, NDVI is normalized differential vegetation index, and NIR and R are respectively
Reflectance value near infrared band and red wave band；Statistical relationships of the f (NDVI) between S and NDVI.
8. influence recognition methods of the grassland vegetation root system according to claim 1 to Slope-Runoff, it is characterised in that in institute
State in step (5), the research area according to obtained by the grassland vegetation ground-underground biomass aggregative relative value (P) and the inverting
Grassland vegetation Aboveground Biomass of Young (S) obtain research area's grassland vegetation Underground biomass (S') calculation formula be：
<mrow>
<msup>
<mi>S</mi>
<mo>&prime;</mo>
</msup>
<mo>=</mo>
<mfrac>
<mi>S</mi>
<mi>P</mi>
</mfrac>
<mo>.</mo>
</mrow>
9. influence recognition methods of the grassland vegetation root system according to claim 1 to Slope-Runoff, it is characterised in that in institute
State in step (6), on research area production flow data, have the research area of hydrologic monitoring website for basin outlet, directly use real
Flow data is calibrated, if not using the calculating of water balance formula or hydrological distribution model simulation.
10. influence recognition methods of the grassland vegetation root system according to claim 1 to Slope-Runoff, it is characterised in that
In the step (7), the relation of vegetation root system biomass and production stream, is specifically calculated as：
R=f (S'),
S' is research area's grassland vegetation Underground biomass, and R is runoff yield, statistical relationships of the f (S') between S' and R.
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| CN201711115379.0A CN107993157B (en) | 2017-11-13 | 2017-11-13 | Method for identifying influence of grassland vegetation root system on slope runoff production |
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Cited By (1)
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