CN107202750A - A kind of satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of Atmospheric particulates - Google Patents
A kind of satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of Atmospheric particulates Download PDFInfo
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Abstract
The invention discloses a kind of satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of Atmospheric particulates, mainly include step a：Obtain gray haze aerosol particle subtype or component parsing；Step b：Remote sensing estimation model is improved with priori based on Beijing-tianjin-hebei Region gray haze aerosol particle sub-feature observation data, obtained gray haze optical thickness inverting PM2.5 concentration distributions near the ground；Step c：Gray haze optical thickness inverting PM2.5 concentration distributions near the ground, pollutant ground observation data and meteorological, environment auxiliary information, and gray haze aerosol particle subtype or component parsing are combined, ground gray haze integrated data is formed；Step d：Gray haze integrated data in ground in step c and Atmospheric Chemistry or air quality model, and satellite remote sensing, ground observation multi-source data are combined, the short-period forecast of gray haze pollution distribution is realized.A kind of satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of Atmospheric particulates of the present invention, makes the gray haze data more high advantage of accurate, reliability of acquisition.
Description
Technical field
The present invention relates to environmental monitoring technology field, in particular it relates to which a kind of satellite-ground integrated monitoring of Atmospheric particulates is quantitative
RS fusion processing method.
Background technology
As science and technology is developed rapidly, our environment is also in increasingly exhaustion, and the health and environment of the mankind is closely bound up, protection
Environment is very urgent.Then the acquisition of China's environmental monitoring index, main effective acquisition using sensor utilizes various algorithms
Obtain the thematic product of fuse information of the high spatial resolution, high time resolution and high detection accuracy of environmental information.But, it is right
In the integration technology of environmental monitoring big data, also in developing stage, technology is also immature.In face of substantial amounts of data, such as where
The valid data that reason could obtain environmental information turn into the key of research.
At present, the acquisition for environmental information there is shortage of data, imperfect and data accuracy it is not high, insecure
Defect.
The content of the invention
It is an object of the present invention in view of the above-mentioned problems, propose a kind of satellite-ground integrated monitoring quantitative remote sensing of Atmospheric particulates
Method for amalgamation processing, to realize the total data of fast acquiring gray haze, make the last related data for obtaining gray haze it is more accurate, can
By the high advantage of property.
To achieve the above object, the technical solution adopted by the present invention is：A kind of satellite-ground integrated monitoring of Atmospheric particulates is quantitative
RS fusion processing method, methods described is specifically included：
Step a：Gray haze remote sensing recognition is realized based on multi-source, polymorphic type satellite remote sensing date, to obtain gray haze gas
Sol particles type or component parsing；
Step b：Based on Beijing-tianjin-hebei Region gray haze aerosol particle sub-feature observation data and heavily contaminated aerosol properties priori
Knowledge improves remote sensing estimation model, so as to realize the quantitative inversion of this area's gray haze optical thickness, obtained gray haze optics is thick
Spend inverting PM2.5 concentration distributions near the ground；
Step c：By gray haze optical thickness inverting PM2.5 concentration distributions near the ground, pollutant ground observation data with it is meteorological,
Environment auxiliary information, and the gray haze aerosol particle subtype or component parsing are combined, and form ground gray haze integrated data；
Step d：By gray haze integrated data in ground described in step c with being based on Atmospheric Chemistry or air quality model, Yi Jiwei
Star remote sensing, ground observation multi-source data are combined, and realize the short-period forecast of gray haze pollution distribution.
Further, gray haze aerosol particle subtype is obtained in the step a or component parsing is specifically included：
Assuming that the gray haze to some region of the Beijing-Tianjin wing carries out comprehensive monitoring, provided with n sensor, including domestic and international
High Resolution Remote Sensing Satellites and ground transaucer synchronize monitoring, and monitoring sample is 1,2,3 ... n,
Step a1：The gray haze in some region of Jing-jin-ji region is monitored using n sensor；
Step a2：The big data that monitoring is obtained is analyzed and processed using PCA, relevant information is obtained；
Step a3：The relevant information of acquisition is subjected to computer disposal, the contribution rate collection of illustrative plates of gray haze is obtained.
Further, the PCA methods in the step a2 are specifically included：
Step 1：Conversion is standardized to the sample that monitoring is obtained
Standardized acquisition p dimensions random vector x=(x1, X2 ..., Xp) T of original index data) n sample xi=
(xi1, xi2 ..., xip) T, i=1,2 ..., n, n ＞ p, construction sample battle array, following standardized transformation is carried out to sample array element：
WhereinA gust Z must be standardized；
Step 2：To seeking correlation matrix to standardization battle array Z
Correlation matrix is asked to standardization battle array Z
Wherein,
Step 3：Solve sample correlation matrix R characteristic equation | R- λ Ip|=0 p characteristic root, determine principal component byM values are determined, make the utilization rate of information up to more than 85%, to each λ j, j=1,2 ..., m, solving equations
Rb=λ jb obtain unit character vector
Step 4：Target variable after standardization is converted into principal component
U1 is referred to as first principal component, and U2 is referred to as Second principal component, ..., Up is referred to as pth principal component；
Step 5：Overall merit is carried out to m principal component
Summation is weighted to m principal component, final evaluation of estimate is produced, flexible strategy are the variance contribution ratio of each principal component.
Further, computer disposal is carried out to relevant information in the step a3, it is main to use MATLAB software programmings
Relative program simultaneously carries out the processing of related data to obtain contribution rate collection of illustrative plates.
Further, the quantitative inversion model of this area's gray haze optical thickness is in the step b：
Assuming that aerosol is that concentration is different under any height or thickness, the ratio between component is identical, therefore disappears
Backscatter extinction logarithmic ratio simply changes with height or thickness.So, different height or the aerosol of concentration are exactly by this single
Equivalent particle composition, simply particle book is different.Equivalent particle number at height z is n (z), if the delustring of equivalent particle
Coefficient is q, and mass concentration is p, then is respectively for the extinction coefficient q (z) and mass concentration m (z) of aerosol at z in height：
Q (z)=n (z) * q,
M (z)=n (z) * p；
It can be obtained with reference to above formula,
M (z)=n (z) * p=q (z)/q*p=x*q；
Wherein x=p/q is proportionality coefficient, relevant with atmospheric aerosol yardstick Spectral structure, component and light refractive index；
So, aerosol is just directly proportional in the mass concentration of different height or thickness to the extinction coefficient at this.
Further, the inverse model of gray haze optical thickness inverting PM2.5 concentration distributions near the ground is obtained in the step b
Flow is：
Step b1：Obtain the mass concentration value at ground heavily contaminated Aerosol Extinction value moment corresponding with same place.
Step b2：The extinction coefficient under the same terms with mass concentration to putting together, pass through iterative method computation model
Parameter.
Step b3：The model parameter and Beijing-tianjin-hebei Region gray haze aerosol particle sub-feature obtained by calculating observes disappearing for data
Backscatter extinction logarithmic ratio, inverting PM2.5 concentration distributions near the ground.
Further, Aerosol Extinction can be obtained by laser radar in the step b1, and mass concentration can pass through filter
Film sampling is weighed or oscillating balance measurement is obtained.
A kind of satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of Atmospheric particulates of the present invention, method is specifically included：
Step a：Gray haze remote sensing recognition is realized based on multi-source, polymorphic type satellite remote sensing date, with obtain gray haze aerosol particle subtype or
Component is parsed；Step b：Based on Beijing-tianjin-hebei Region gray haze aerosol particle sub-feature observation data and heavily contaminated aerosol properties priori
Knowledge improves remote sensing estimation model, so as to realize the quantitative inversion of this area's gray haze optical thickness, obtained gray haze optics is thick
Spend inverting PM2.5 concentration distributions near the ground；Step c：By gray haze optical thickness inverting PM2.5 concentration distributions near the ground, pollutant
Ground observation data and meteorological, environment auxiliary information, and the gray haze aerosol particle subtype or component parsing are combined, shape
Into ground gray haze integrated data；Step d：By gray haze integrated data in ground described in step c with being based on Atmospheric Chemistry or air quality
Pattern, and satellite remote sensing, ground observation multi-source data are combined, and realize the short-period forecast of gray haze pollution distribution.
Mainly obtain following technique effect：
(1) the multi-source remote sensing automatic identification of gray haze
Lack the remote-sensing monitoring method for China's gray haze distribution in the world at present, gray haze is realized using multi- source Remote Sensing Data data
The blank in the domestic and international field will be effectively filled up in the accurate extraction of distribution, is the important wound to China's atmosphere pollution satellite monitoring
Newly.
(2) inverting of gray haze optical thickness
Current international mainstream aerosol optical inversion method is primarily directed to lighter clear sky condition is polluted, to east China
Weight haze pollution is inapplicable or can not inverting；This research will do important development, innovative realization to existing aerosol inversion method
To the quantitative inversion of Beijing-tianjin-hebei Region gray haze heavily contaminated.
(3) PM2.5 retrieving concentrations near the ground under the conditions of gray haze
Estimate that particle concentration near the ground is always international forward position and difficulties based on satellite remote sensing, estimate both at home and abroad at present
Calculation method, which is also primarily adapted for use in, pollutes lighter situation, and PM2.5 near the ground is realized for the extremely strong gray haze heavily contaminated condition of delustring
The estimation of concentration, not only makes important innovations to the field inversion method, while being also that Contamination Assessment and gray haze prediction are provided
Support.
(4) gray haze aerosol particle subtype or component parsing
Using n sensor of satellite-ground integrated monitoring, all data of Atmospheric particulates can be obtained, it is to avoid the something lost of data
Leakage；Data are analyzed using PCA, the maximal correlation data of gray haze can be effectively obtained, point of gray haze is more quickly obtained
Butut；The processing of contribution rate collection of illustrative plates is carried out using MATLAB softwares, makes data more precisely, reliably.
Other features and advantages of the present invention will be illustrated in the following description, also, partly becomes from specification
Obtain it is clear that or being understood by implementing the present invention.
Below by drawings and examples, technical scheme is described in further detail.
Brief description of the drawings
Accompanying drawing is used for providing a further understanding of the present invention, and constitutes a part for specification, the reality with the present invention
Applying example is used to explain the present invention together, is not construed as limiting the invention.In the accompanying drawings：
Fig. 1 is a kind of flow of the satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of Atmospheric particulates of the present invention
Figure；
Fig. 2 is at a kind of PCA of the satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of Atmospheric particulates of the present invention
Manage flow chart；
Fig. 3 is a kind of contribution rate of the satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of Atmospheric particulates of the present invention
Collection of illustrative plates.
Embodiment
The preferred embodiments of the present invention are illustrated below in conjunction with accompanying drawing, it will be appreciated that preferred reality described herein
Apply example to be merely to illustrate and explain the present invention, be not intended to limit the present invention.
As shown in figure 1, a kind of satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of Atmospheric particulates, methods described is specific
Including：
Step a：Gray haze remote sensing recognition is realized based on multi-source, polymorphic type satellite remote sensing date, to obtain gray haze gas
Sol particles type or component parsing；
Step b：Based on Beijing-tianjin-hebei Region gray haze aerosol particle sub-feature observation data and heavily contaminated aerosol properties priori
Knowledge improves remote sensing estimation model, so as to realize the quantitative inversion of this area's gray haze optical thickness, obtained gray haze optics is thick
Spend inverting PM2.5 concentration distributions near the ground；
Step c：By gray haze optical thickness inverting PM2.5 concentration distributions near the ground, pollutant ground observation data with it is meteorological,
Environment auxiliary information, and the gray haze aerosol particle subtype or component parsing are combined, and form ground gray haze integrated data；
Step d：By gray haze integrated data in ground described in step c with being based on Atmospheric Chemistry or air quality model, Yi Jiwei
Star remote sensing, ground observation multi-source data are combined, and realize the short-period forecast of gray haze pollution distribution.
Gray haze aerosol particle subtype is obtained in the step a or component parsing is specifically included：
Assuming that the gray haze to some region of the Beijing-Tianjin wing carries out comprehensive monitoring, provided with n sensor, including domestic and international
High Resolution Remote Sensing Satellites and ground transaucer synchronize monitoring, and monitoring sample is 1,2,3 ... n,
Step a1：The gray haze in some region of Jing-jin-ji region is monitored using n sensor；
Step a2：The big data that monitoring is obtained is analyzed and processed using PCA, relevant information is obtained；
Step a3：The relevant information of acquisition is subjected to computer disposal, the contribution rate collection of illustrative plates of gray haze is obtained.
PCA methods in the step a2 are specifically included：
Step 1：Conversion is standardized to the sample that monitoring is obtained
Standardized acquisition p dimensions random vector x=(x1, X2 ..., Xp) T of original index data) n sample xi=
(xi1, xi2 ..., xip) T, i=1,2 ..., n, n ＞ p, construction sample battle array, following standardized transformation is carried out to sample array element：
WhereinA gust Z must be standardized；
Step 2：To seeking correlation matrix to standardization battle array Z
Correlation matrix is asked to standardization battle array Z
Wherein,
Step 3：Solve sample correlation matrix R characteristic equation | R- λ Ip|=0 obtains p characteristic root, determines principal component
PressDetermine m values, make the utilization rate of information up to more than 85%, to each λ j, j=1,2 ...,
m,
Solving equations Rb=λ jb obtain unit character vector
Step 4：Target variable after standardization is converted into principal component
U1 is referred to as first principal component, and U2 is referred to as Second principal component, ..., Up is referred to as pth principal component；
Step 5：Overall merit is carried out to m principal component
Summation is weighted to m principal component, final evaluation of estimate is produced, flexible strategy are the variance contribution ratio of each principal component.
Computer disposal is carried out to relevant information in the step a3, it is main to use MATLAB software programmings relative program simultaneously
The processing of related data is carried out to obtain contribution rate collection of illustrative plates.
As shown in Fig. 2 PCA handling processes include：1st, data are read in；2nd, pre-process, standardization；3rd, principal component contribution is calculated
Rate；4th, contribution rate sorts, and chooses principal component；5th, each principal component load is calculated；6th, output pattern.
As shown in figure 3, in the Monitoring Data of two groups of gray hazes, the contribution rate of first principal component is significantly greater than other masters
The contribution rate of composition.
The quantitative inversion model of this area's gray haze optical thickness is in the step b：
Assuming that aerosol is that concentration is different under any height or thickness, the ratio between component is identical, therefore disappears
Backscatter extinction logarithmic ratio simply changes with height or thickness.So, different height or the aerosol of concentration are exactly by this single
Equivalent particle composition, simply particle book is different.Equivalent particle number at height z is n (z), if the delustring of equivalent particle
Coefficient is q, and mass concentration is p, then is respectively for the extinction coefficient q (z) and mass concentration m (z) of aerosol at z in height：
Q (z)=n (z) * q,
M (z)=n (z) * p；
It can be obtained with reference to above formula,
M (z)=n (z) * p=q (z)/q*p=x*q；
Wherein x=p/q is proportionality coefficient, relevant with atmospheric aerosol yardstick Spectral structure, component and light refractive index；
So, aerosol is just directly proportional in the mass concentration of different height or thickness to the extinction coefficient at this.
Further, the inverse model of gray haze optical thickness inverting PM2.5 concentration distributions near the ground is obtained in the step b
Flow is：
Step b1：Obtain the mass concentration value at ground heavily contaminated Aerosol Extinction value moment corresponding with same place.
Step b2：The extinction coefficient under the same terms with mass concentration to putting together, pass through iterative method computation model
Parameter.
Step b3：The model parameter and Beijing-tianjin-hebei Region gray haze aerosol particle sub-feature obtained by calculating observes disappearing for data
Backscatter extinction logarithmic ratio, inverting PM2.5 concentration distributions near the ground.
Aerosol Extinction can be obtained by laser radar in the step b1, and mass concentration can be weighed by filter membrane sampling
Or oscillating balance measurement is obtained.
Following beneficial effect can at least be reached：
A kind of satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of Atmospheric particulates of the present invention, method is specifically included：
Step a：Gray haze remote sensing recognition is realized based on multi-source, polymorphic type satellite remote sensing date, with obtain gray haze aerosol particle subtype or
Component is parsed；Step b：Based on Beijing-tianjin-hebei Region gray haze aerosol particle sub-feature observation data and heavily contaminated aerosol properties priori
Knowledge improves remote sensing estimation model, so as to realize the quantitative inversion of this area's gray haze optical thickness, obtained gray haze optics is thick
Spend inverting PM2.5 concentration distributions near the ground；Step c：By gray haze optical thickness inverting PM2.5 concentration distributions near the ground, pollutant
Ground observation data and meteorological, environment auxiliary information, and the gray haze aerosol particle subtype or component parsing are combined, shape
Into ground gray haze integrated data；Step d：By gray haze integrated data in ground described in step c with being based on Atmospheric Chemistry or air quality
Pattern, and satellite remote sensing, ground observation multi-source data are combined, and realize the short-period forecast of gray haze pollution distribution.
Mainly obtain following technique effect：
(1) the multi-source remote sensing automatic identification of gray haze
Lack the remote-sensing monitoring method for China's gray haze distribution in the world at present, gray haze is realized using multi- source Remote Sensing Data data
The blank in the domestic and international field will be effectively filled up in the accurate extraction of distribution, is the important wound to China's atmosphere pollution satellite monitoring
Newly.
(2) inverting of gray haze optical thickness
Current international mainstream aerosol optical inversion method is primarily directed to lighter clear sky condition is polluted, to east China
Weight haze pollution is inapplicable or can not inverting；This research will do important development, innovative realization to existing aerosol inversion method
To the quantitative inversion of Beijing-tianjin-hebei Region gray haze heavily contaminated.
(3) PM2.5 retrieving concentrations near the ground under the conditions of gray haze
Estimate that particle concentration near the ground is always international forward position and difficulties based on satellite remote sensing, estimate both at home and abroad at present
Calculation method, which is also primarily adapted for use in, pollutes lighter situation, and PM2.5 near the ground is realized for the extremely strong gray haze heavily contaminated condition of delustring
The estimation of concentration, not only makes important innovations to the field inversion method, while being also that Contamination Assessment and gray haze prediction are provided
Support.
(4) gray haze aerosol particle subtype or component parsing
Using n sensor of satellite-ground integrated monitoring, all data of Atmospheric particulates can be obtained, it is to avoid the something lost of data
Leakage；Data are analyzed using PCA, the maximal correlation data of gray haze can be effectively obtained, point of gray haze is more quickly obtained
Butut；The processing of contribution rate collection of illustrative plates is carried out using MATLAB softwares, makes data more precisely, reliably.
Finally it should be noted that：The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention,
Although the present invention is described in detail with reference to the foregoing embodiments, for those skilled in the art, it still may be used
To be modified to the technical scheme described in foregoing embodiments, or equivalent substitution is carried out to which part technical characteristic.
Within the spirit and principles of the invention, any modification, equivalent substitution and improvements made etc., should be included in the present invention's
Within protection domain.
Claims (7)
1. a kind of satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of Atmospheric particulates, it is characterised in that methods described is specific
Including：
Step a：Gray haze remote sensing recognition is realized based on multi-source, polymorphic type satellite remote sensing date, to obtain gray haze aerosol particle subclass
Type or component parsing；
Step b：Based on Beijing-tianjin-hebei Region gray haze aerosol particle sub-feature observation data and heavily contaminated aerosol properties priori
To improve remote sensing estimation model, so as to realize the quantitative inversion of this area's gray haze optical thickness, obtained gray haze optical thickness is anti-
Drill PM2.5 concentration distributions near the ground；
Step c：By gray haze optical thickness inverting PM2.5 concentration distributions near the ground, pollutant ground observation data and meteorological, environment
Auxiliary information, and the gray haze aerosol particle subtype or component parsing are combined, and form ground gray haze integrated data；
Step d：It is by gray haze integrated data in ground described in step c and distant based on Atmospheric Chemistry or air quality model, and satellite
Sense, ground observation multi-source data are combined, and realize the short-period forecast of gray haze pollution distribution.
2. the satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of a kind of Atmospheric particulates according to claim 1, it is special
Levy and be, gray haze aerosol particle subtype is obtained in the step a or component parsing is specifically included：
Assuming that the gray haze to some region of the Beijing-Tianjin wing carries out comprehensive monitoring, provided with n sensor, including domestic and international high score
Resolution remote sensing satellite and ground transaucer synchronize monitoring, and monitoring sample is 1,2,3 ... n,
Step a1：The gray haze in some region of Jing-jin-ji region is monitored using n sensor；
Step a2：The big data that monitoring is obtained is analyzed and processed using PCA, relevant information is obtained；
Step a3：The relevant information of acquisition is subjected to computer disposal, the contribution rate collection of illustrative plates of gray haze is obtained.
3. the satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of a kind of Atmospheric particulates according to claim 2, it is special
Levy and be, the PCA methods in the step a2 are specifically included：
Step 1：Conversion is standardized to the sample that monitoring is obtained
Standardized acquisition p dimensions random vector x=(x1, X2 ..., Xp) T of original index data) n sample xi=(xi1,
Xi2 ..., xip) T, i=1,2 ..., n, n ＞ p, construction sample battle array, to the following standardized transformation of sample array element progress：
<mrow>
<msub>
<mi>Z</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>x</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mover>
<mi>x</mi>
<mo>&OverBar;</mo>
</mover>
<mi>j</mi>
</msub>
</mrow>
<msub>
<mi>s</mi>
<mi>j</mi>
</msub>
</mfrac>
<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>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mi>p</mi>
</mrow>
WhereinA gust Z must be standardized；
Step 2：To seeking correlation matrix to standardization battle array Z
Correlation matrix is asked to standardization battle array Z
<mrow>
<mi>R</mi>
<mo>=</mo>
<msub>
<mrow>
<mo>&lsqb;</mo>
<msub>
<mi>r</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<mo>&rsqb;</mo>
</mrow>
<mi>p</mi>
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<mi>p</mi>
<mo>=</mo>
<mfrac>
<mrow>
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</mrow>
<mrow>
<mi>n</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</mfrac>
</mrow>
Wherein,
Step 3：Solve sample correlation matrix R characteristic equation | R- λ Ip|=0 obtains p characteristic root, determines principal component
PressM values are determined, make the utilization rate of information up to more than 85%, to each λ j, j=1,2 ..., m, solution
Equation group Rb=λ jb obtain unit character vector
Step 4：Target variable after standardization is converted into principal component
<mrow>
<msub>
<mi>U</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<mo>=</mo>
<msubsup>
<mi>z</mi>
<mi>i</mi>
<mi>T</mi>
</msubsup>
<msubsup>
<mi>b</mi>
<mi>j</mi>
<mi>o</mi>
</msubsup>
<mo>,</mo>
<mi>j</mi>
<mo>=</mo>
<mn>1</mn>
<mo>,</mo>
<mn>2</mn>
<mo>,</mo>
<mo>...</mo>
<mo>,</mo>
<mi>m</mi>
</mrow>
U1 is referred to as first principal component, and U2 is referred to as Second principal component, ..., Up is referred to as pth principal component；
Step 5：Overall merit is carried out to m principal component
Summation is weighted to m principal component, final evaluation of estimate is produced, flexible strategy are the variance contribution ratio of each principal component.
4. the satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of a kind of Atmospheric particulates according to claim 2, it is special
Levy and be, computer disposal is carried out to relevant information in the step a3, it is main to use MATLAB software programmings relative program simultaneously
The processing of related data is carried out to obtain contribution rate collection of illustrative plates.
5. the satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of a kind of Atmospheric particulates according to claim 1, it is special
Levy and be, the quantitative inversion model of this area's gray haze optical thickness is in the step b：
Assuming that aerosol is that concentration is different under any height or thickness, the ratio between component is identical, therefore delustring system
Number simply changes with height or thickness.So, different height or the aerosol of concentration are exactly by this single etc.
Imitate grain molecular, simply particle book is different.Equivalent particle number at height z is n (z), if the extinction coefficient of equivalent particle
For q, mass concentration is p, then is respectively for the extinction coefficient q (z) and mass concentration m (z) of aerosol at z in height：
Q (z)=n (z) * q,
M (z)=n (z) * p；
It can be obtained with reference to above formula,
M (z)=n (z) * p=q (z)/q*p=x*q；
Wherein x=p/q is proportionality coefficient, relevant with atmospheric aerosol yardstick Spectral structure, component and light refractive index；
So, aerosol is just directly proportional in the mass concentration of different height or thickness to the extinction coefficient at this.
6. the satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of a kind of Atmospheric particulates according to claim 1, it is special
Levy and be, the inverse model flow that gray haze optical thickness inverting PM2.5 concentration distributions near the ground are obtained in the step b is：
Step b1：Obtain the mass concentration value at ground heavily contaminated Aerosol Extinction value moment corresponding with same place.
Step b2：The extinction coefficient under the same terms with mass concentration to putting together, pass through the ginseng of iterative method computation model
Number.
Step b3：The model parameter and Beijing-tianjin-hebei Region gray haze aerosol particle sub-feature obtained by calculating observes the delustring system of data
Number, inverting PM2.5 concentration distributions near the ground.
7. the satellite-ground integrated monitoring quantitative remote sensing method for amalgamation processing of a kind of Atmospheric particulates according to claim 6, it is special
Levy and be, Aerosol Extinction can be obtained by laser radar in the step b1, and mass concentration can be weighed by filter membrane sampling
Or oscillating balance measurement is obtained.
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