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CN-121994736-A - Method for partitioning NOy concentration pollution by combining earth surface type and foundation remote sensing observation

CN121994736ACN 121994736 ACN121994736 ACN 121994736ACN-121994736-A

Abstract

The invention relates to the technical field of atmospheric pollution partition identification, in particular to a partition method for detecting NO y concentration pollution by combining a ground surface type and ground base remote sensing. The technical scheme includes that a foundation high-resolution Fourier infrared spectrometer is utilized to invert to obtain a time sequence of concentration of NO, NO 2 and HNO 3 in the atmosphere, troposphere concentration is calculated, average matching observation points are carried out on the troposphere concentrations of NO, NO 2 and HNO 3 in each hour, and effective wind direction is determined in an hour vector average mode by utilizing wind direction and wind speed data. The invention realizes the improvement of NO y pollution from single-point monitoring to space partition identification by fusing the ground remote sensing observation and ground surface type information, and provides an effective method for accurate tracing and pollution control.

Inventors

  • ZENG XIANGYU
  • WANG WEI
  • SHAN CHANGGONG

Assignees

  • 合肥综合性科学中心环境研究院

Dates

Publication Date
20260508
Application Date
20251030

Claims (10)

  1. 1. The method for partitioning the concentration pollution of NO y by combining the earth surface type and the foundation remote sensing observation is characterized by comprising the following steps of: S1, inversion is carried out by using a foundation high-resolution Fourier infrared spectrometer to obtain a concentration time sequence of NO, NO 2 and HNO 3 in the atmosphere, and the troposphere concentration is calculated; S2, carrying out average matching observation points per hour on the troposphere concentrations of the NO, the NO 2 and the HNO 3 , and determining an effective wind direction according to an average mode of an hour vector by utilizing wind direction and wind speed data; S3, taking NO, NO 2 and HNO 3 as representatives, calculating the total amount of NO y and ratio indexes NO x /NO y and HNO 3 /NO x , wherein NO x is the sum of NO and NO 2 , classifying observation samples according to wind direction sectors, and counting NO y index probability distribution; s4, acquiring satellite land coverage product data, and identifying the earth surface type of the area near the site; S5, dividing the land coverage data according to wind direction sectors, counting the earth surface type proportion in each sector, determining the dominant earth surface type, and establishing a corresponding relation between NO y indexes of corresponding sectors in the same time period and the dominant earth surface type to identify pollution characteristics of primary emission dominant or secondary conversion dominant.
  2. 2. The method for partitioning pollution by combining earth surface type and foundation remote sensing observation NO y concentration according to claim 1, wherein in step S1, the maximum spectral resolution of the foundation high-resolution Fourier infrared spectrometer is 0.005cm -1 , and the spectral measurement range is 700-4000 cm -1 .
  3. 3. The method of claim 1, wherein in step S1, the concentrations of NO, NO 2 and HNO 3 are inverted using the prior vertical concentrations calculated by the HITRAN molecular database and the atmospheric climate model WACCM, and the spectral inversion is performed using a nonlinear least squares algorithm.
  4. 4. The method for partitioning concentration pollution of NO y by combining surface type and ground based remote sensing observation according to claim 1, wherein in step S1, the range of the inversion NO used is 1900.45-1900.55 cm -1 , the range of the inversion NO 2 used is 2914.550-2924.925 cm -1 , and the range of the inversion HNO 3 used is 868.05-874.00 cm -1 .
  5. 5. The method for partitioning pollution by combining surface type and foundation remote sensing observation NO y concentration according to claim 1, wherein in step S1, when the tropospheric concentration is calculated, the tropospheric concentration is calculated by performing a layer-by-layer product calculation on the vertical concentration of 0-12 km and the dry air column.
  6. 6. The method for partitioning NO y concentration pollution by combining surface type and ground based remote sensing observation according to claim 1, wherein in step S2, the vector averaging method comprises decomposing the instantaneous wind speed and wind direction into Components and And calculating an hour average component, and obtaining an average wind speed and an average wind direction.
  7. 7. The method for partitioning the concentration of NO y pollution by combining surface type and foundation remote sensing observation according to claim 6, wherein the method comprises the following steps of Components and The calculation formula of the components is as follows: , Wherein, the For instantaneous wind speed, θ is the instantaneous wind direction, Is the radian of the wind direction angle; The hour average component was calculated as: , Wherein, the In order for the number of observations to be effective, And Respectively representing the arithmetic average of all u and v components in one hour; Average wind speed And average wind direction The calculation is as follows: , , Wherein, the As a four-quadrant arctangent function for providing a mean wind vector component And mod is a modulo function used for normalizing the angle result to be in the range of 0 to 360 degrees.
  8. 8. The method for remotely observing NOy concentration pollution zoning by combining surface type and foundation according to claim 1, wherein in step S3, the number of wind direction sectors is 12, and each sector is 30 °.
  9. 9. The method for combining earth surface Type and ground-based remote sensing observation of NOy concentration pollution zoning according to claim 1, wherein in step S4, the satellite earth coverage product data is lc_type1 band in MCD12Q1 product of MODIS, and the site vicinity is a region with a radius of 5 km centered on an observation site.
  10. 10. The method for remotely observing NOy concentration pollution zoning by combining a surface type and a foundation according to claim 1, wherein in step S5, the determination standard of the dominant surface type is that the dominant surface type is determined when the ratio of the certain surface type is more than 40%, otherwise the dominant surface type is marked as a mixed ground type, the NO y index comprises NO x /NO y 、HNO 3 /NO x and NO y concentrations, wherein a high value of NO x /NO y and a low value of HNO 3 /NO x indicate that one-time emission pollutants are dominant, and a low value of NO x /NO y and a high value of HNO 3 /NO x indicate that secondary pollutants are dominant.

Description

Method for partitioning concentration pollution of NO y by combining earth surface type and foundation remote sensing observation Technical Field The invention relates to the technical field of atmospheric pollution partition identification, in particular to a partition method for detecting NO y concentration pollution by combining a ground surface type and ground base remote sensing. Background Atmospheric nitrogen oxides (NO y) are a key class of active nitrogen components in atmospheric chemistry, mainly including Nitric Oxide (NO), nitrogen dioxide (NO 2), nitric acid (HNO 3), and the like. They originate mainly from human activity emissions of traffic, industry, etc., and enter the atmosphere in the form of NO x（NO+NO2), followed by the formation of other components through complex photochemical oxidation processes. NO y is not only directly harmful to human health, but also is used as a key precursor of photochemical reaction, and is mainly used for leading the generation rate of near-ground ozone (O 3) and the formation process of secondary aerosol, thereby having important influence on dust haze and photochemical smog pollution. Therefore, the accurate identification of the pollution source of NO y and the chemical conversion process in the atmosphere is important for scientifically making pollution prevention and control strategies. At present, the research on the pollution characteristics of NO y mainly depends on the following technical means, but all the technical means have certain limitations: Firstly, the foundation remote sensing observation technology, in particular to the high-resolution Fourier transform infrared spectrum technology, can stably obtain the column concentration of the key components such as NO, NO 2, HNO 3 and the like in the troposphere for a long time. The three gases account for 70% -90% of the total amount of the troposphere NO y, and the relative proportion of the three gases can effectively reflect the freshness and photochemical aging degree of the polluted air mass. However, this technique is currently limited to providing a single point of concentration time series change at the observation site, lacking effective correlation with spatial information. Although highly accurate time-varying data can be obtained, it is not possible to directly answer key questions such as how the contaminant comes from, how the underlying surface source type on its transport path affects the contamination composition, etc. Second, in terms of data analysis, researchers often employ the component values of NO y as a diagnostic tool, such as using the NO x/NOy ratio to characterize the freshness of primary emissions, and the HNO 3/NOx ratio to characterize the intensity of secondary conversions. However, these ratio indicators can only provide a transient "snapshot" of the atmospheric chemical state itself, and in complex practical environments, particularly in cities and surrounding areas with mixed source types, it is difficult to effectively distinguish the specific effects of different surface types (e.g., urban industrial areas, traffic thoroughfares, farmlands, woodlands, etc.) on pollution contributions. A single ratio index cannot trace back the contamination features to a specific spatial source. Third, to trace back the source of contamination, existing studies rely on regional scale atmospheric trajectory models (e.g., backward trajectory models) for simulation analysis. However, such models are typically calculated based on meteorological field data, and their spatial resolution is low, often on the order of several kilometers to tens of kilometers. In the face of dense buildings and complex urban environments with local circulation, the accuracy and reliability of model simulation are remarkably reduced, and the precise capture of fine-scale pollution conveying and converting processes caused by the combined action of local emission sources and complex underlying surfaces is difficult. In summary, the prior art either lacks spatial dimensions (such as single point observation of foundation), lacks spatial resolution (such as trajectory model), or cannot effectively correlate surface information (such as ratio index), which makes it difficult to meet the requirements of precise identification and partition of pollution source areas by current refined environmental pollution control. Therefore, a new method capable of integrating high-precision ground remote sensing observation and high-spatial resolution ground surface type information is urgently needed to be developed so as to realize the fine spatial partition identification of NO y pollution contribution characteristics, and the application provides a method for partitioning NO y concentration pollution by combining ground surface type and ground remote sensing observation. Disclosure of Invention The invention aims at solving the problems that in the prior art, either the space dimension (such as foundation single-point