US 12,699,187 B2 · Remote sensing inversion method, system, device and computer readable storage medium for aerosol component distribution

Abstract

According to the technical solution of the present invention, a vertical mass concentration curve of fine aerosol component distribution can be obtained based on remote sensing test cooperation of a ground Lidar and a solar photometer, specifically, an internal mixing model and a normalized volume distribution model are constructed according to the light absorptivity and the water solubility of aerosol components, and separates out profiles of inorganic salt components, black carbon components, water-soluble organic matter, water-insoluble organic matter, fine aerosol water content components and the like to obtain corresponding vertical distribution. A new thought and development direction can be provided for remote sensing inversion of Lidar and the like, and meanwhile, development of aerosol component spectrums is promoted. According to the comparison of on-site observation data and reanalysis data, the vertical distribution of aerosol components obtained by the technical solution is relatively reasonable, and has popularization value.

A remote sensing inversion method of aerosol component distribution, comprising:

constructing an internal mixing model and a normalized volume distribution model based on light absorptivity and water solubility of aerosol components;
detecting data using a solar photometer and a Lidar;
obtaining a fine aerosol component profile outputted by a generic aerosol search model based on the detection data of the solar photometer and the Lidar, the fine aerosol component profile comprises a first aerosol extinction amount and a volume concentration profile;
obtaining a second aerosol extinction amount by the internal mixing model and the normalized volume distribution model based on predetermined volume fractions and the volume concentration profile of the respective aerosol components;
quantifying residual between the second aerosol extinction amount and the first aerosol extinction amount by an iterative kernel function;
determining an optimal combination of corresponding volume fractions of respective component from the quantified residual;
defining the optimal combination as an aerosol component distribution profile;
determining a vertical mass concentration curve of the aerosol component distribution based on the aerosol component distribution profile,
wherein the aerosol components comprise inorganic salt components, black carbon components, water soluble organic matter, water insoluble organic matter and fine aerosol water content components, wherein a complex refractive index of the inorganic salt components, the black carbon components, the water soluble organic matter, and the water insoluble organic matter are all different,
wherein a content of fine aerosol water content components is depended on hygroscopicity of aerosol,
wherein the internal mixing model is used to obtain the complex refractive index of an aerosol mixture,
wherein an effective dielectric constant of the aerosol mixture is:
ε
mix
(
λ
)
=
ε
host
+
3
⁢
ε
host
[
∑
j
⁢
ε
i
(
λ
)
-
ε
host
(
λ
)
ε
j
(
λ
)
+
2
⁢
ε
host
(
λ
)
⁢
f
j
1
-
∑
j
⁢
ε
J
(
λ
)
-
ε
host
(
λ
)
ε
j
(
λ
)
+
2
⁢
ε
host
(
λ
)
⁢
f
j
]
j
=
BC
⁢
and
⁢
WIOM
wherein εhost is the effective tolerance of the host environment, εj is the effective tolerance of insoluble material, BC is the black carbon, and WIOM is the water insoluble organic matter,
wherein said host environment comprises a mixture of water soluble substances in the aerosol mixture and the corresponding complex refractive index of the host environment is:
m
host
(
λ
)
=
∑
j
m
j
(
λ
)
⁢
f
j
∑
j
f
j
j
=
AN
,
AW
⁢
and
⁢
WSOM
wherein mj is the complex refractive index for component j, fj is the volume fraction for component j, AN is the inorganic salt component, AW is the fine aerosol water content component, WSOM is the water soluble organic matter,
wherein the complex refractive index of the said aerosol mixture comprises:
m
=
❘
"\[LeftBracketingBar]"
ε
⁡
(
λ
)
❘
"\[RightBracketingBar]"
+
Re
⁡
(
ε
⁡
(
λ
)
)
2
+
i
⁢
❘
"\[LeftBracketingBar]"
ε
⁡
(
λ
)
❘
"\[RightBracketingBar]"
-
Re
⁡
(
ε
⁡
(
λ
)
)
2
wherein m is complex refractive index and ε is effective dielectric constant,
wherein the normalized volume distribution of the aerosol mixture comprises:
dV
N
(
lnr
)
dlnr
=
∑
j
=
1
4
f
j
⁢
dV
j
(
lnr
)
dlnr
j
=
AN
,
BC
,
WIOM
,
and
⁢
WSOM
wherein
dV
N
(
lnr
)
dlnr
is the normalized volume distribution profile, AN is the inorganic salt component, BC is the black carbon, WIOM is the water insoluble organic matter, WSOM is the water soluble organic matter, and
dV
j
(
lnr
)
dlnr
is the corresponding volume distribution profile for component j,
wherein volume distribution profile corresponding to component j includes:
dV
j
(
lnr
)
dlnr
=
1
2
⁢
π
⁢
❘
"\[LeftBracketingBar]"
ln
⁢
σ
j
❘
"\[RightBracketingBar]"
⁢
exp
[
-
1
2
⁢
(
lnr
-
lnr
j
ln
⁢
σ
j
)
2
]
wherein σj is geometric standard deviation of component j, rj is mean radius of component j,
wherein the second aerosol extinction amount comprises:
σ
m
(
λ
,
h
)
=
∫
3
4
⁢
r
2
⁢
Q
ext
(
λ
,
r
,
m
)
⁢
dV
(
lnr
)
dlnr
⁢
dlnr
wherein Qext(λ, r, m) is Mie efficiency coefficient, which is related to wavelength λ of Lidar, particle size r of aerosol, and complex refractive index m of aerosol mixture,
dV
(
lnr
)
dlnr
⁢
dlnr
is obtained by the product of volume concentration profile and normalized volume distribution, and
wherein the iterative kernel function comprises:
χ
2
=
∑
λ
(
σ
m
(
λ
,
h
)
-
σ
c
(
λ
,
h
)
)
2
ε
g
(
λ
,
h
)
⁢
(
σ
c
(
λ
,
h
)
)
2
wherein σc is the relative fitting residuals of Lidar modelling signals between Lidar measurements and generic aerosol search model at different wavelengths, which are used to avoid uncertainty interference arising from generic aerosol search model modelling.

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Remote sensing inversion method, system, device and computer readable storage medium for aerosol component distribution

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Remote sensing inversion method, system, device and computer readable storage medium for aerosol component distribution

Life of this patent

Abstract

Claims5