New particle generation event remote sensing identification method, device and equipment

Abstract

The invention provides a new particle generation event remote sensing identification method, device and equipment, and the method comprises the steps: carrying out the foundation remote sensing observation based on a spectrophotometer and a solar sky radiometer, and obtaining remote sensing observation data; determining a regional nucleation indicator based on the ultraviolet irradiance, the gaseous precursor concentration, and the aerosol optical thickness; determining a first new particle generation day number of which the regional nucleation index is greater than a preset observation initial threshold value; obtaining a second new particle generation day number obtained by online measurement and a third new particle generation day number for reference; iteratively updating the observation initial threshold value to obtain an observation target threshold value; obtaining a regional nucleation index of a target date, and taking the target date as a new particle generation date when the regional nucleation index of the target date is greater than an observation target threshold and the duration is greater than a preset duration threshold; according to the invention, the occurrence of the new particle generation event can be effectively identified.

Description

Technical Field

[0001] The present invention relates to the field of atmospheric monitoring technology, and in particular to a remote sensing identification method, device and equipment for new particle generation events. Background Art

[0002] New Particle Formation (NPF) refers to the process in which low-volatility gases in the atmosphere condense into nuclei and grow into nano-sized particles.

[0003] In the relevant technology, although the remote sensing indicators of new particle generation are calculated, there is no specific identification standard, that is, it can only analyze the level and distribution of the indicators, and it is impossible to determine whether a new particle generation event has actually occurred. This is mainly because the remote sensing parameters of gaseous precursors and aerosols can always be inverted, and the occurrence of new particle generation events will only occur after the comprehensive indicators reach a certain threshold.

[0004] It can be seen that the new particle generation event identification method in the related art has the defect that the remote sensing identification method cannot be actually applied due to the missing threshold. Summary of the invention

[0005] The present invention provides a new particle generation event remote sensing identification method, device and equipment, which are used to solve the defect that the new particle generation event identification method in the prior art cannot be actually applied due to the lack of a threshold value, and realize the identification and time-continuous observation of new particle generation events based on remote sensing technology.

[0006] The present invention provides a remote sensing identification method for new particle generation events, comprising the following steps. Based on a spectrophotometer and a solar sky radiometer, ground-based remote sensing observations are performed to obtain remote sensing observation data, wherein the remote sensing observation data include ultraviolet irradiance, gaseous precursor concentration, and aerosol optical thickness; based on the ultraviolet irradiance, the gaseous precursor concentration, and the aerosol optical thickness, a regional nucleation index is determined; the first new particle generation day when the regional nucleation index is greater than a preset observation initial threshold is determined; the second new particle generation day obtained by online measurement and the third new particle generation day for reference are obtained; based on the first new particle generation day, the second new particle generation day, and the third new particle generation day, the observation initial threshold is iteratively updated to obtain an observation target threshold; the regional nucleation index of the target date is obtained, and when the regional nucleation index of the target date is greater than the observation target threshold and the duration is greater than the preset duration threshold, the target date is used as the new particle generation date.

[0007] According to a remote sensing identification method for new particle generation events provided by the present invention, the gaseous precursor concentration includes sulfur dioxide column concentration, nitrogen dioxide column concentration and formaldehyde column concentration, and the regional nucleation index is determined based on the ultraviolet irradiance, the gaseous precursor concentration and the aerosol optical thickness, including: determining a first product of the ultraviolet irradiance of a target wavelength and the sulfur dioxide column concentration; determining a ratio of the first product to the square value of the aerosol optical thickness as a sulfur dioxide remote sensing monitoring index; determining a second product of the ultraviolet irradiance of the target wavelength and the formaldehyde column concentration; determining a ratio of the second product to the square value of the aerosol optical thickness as a formaldehyde remote sensing monitoring index; and using the sulfur dioxide remote sensing monitoring index and the formaldehyde remote sensing monitoring index as regional nucleation indicators.

[0008] According to a remote sensing identification method for new particle generation events provided by the present invention, the method also includes: using the ratio of the sulfur dioxide column concentration to the aerosol optical thickness as a sulfur dioxide priority index; using the ratio of the nitrogen dioxide column concentration to the aerosol optical thickness as a nitrogen dioxide priority index; using the sulfur dioxide priority index and the nitrogen dioxide priority index as primary nucleation indicators.

[0009] According to a remote sensing identification method for new particle generation events provided by the present invention, the observation target threshold includes: a sulfur dioxide remote sensing monitoring index threshold and a formaldehyde remote sensing monitoring index threshold; the observation target threshold is used to minimize the overall difference between the first new particle generation day, the second new particle generation day and the third new particle generation day.

[0010] According to a remote sensing identification method for new particle generation events provided by the present invention, the regional nucleation index of the target date is obtained, and when the regional nucleation index of the target date is greater than the observation target threshold and the duration is greater than a preset duration threshold, the target date is used as the new particle generation date, including: obtaining a sulfur dioxide remote sensing monitoring index of the target date; when the sulfur dioxide remote sensing monitoring index is greater than the sulfur dioxide remote sensing monitoring index threshold in the observation target threshold and a first duration exceeds a preset duration threshold, the target date is used as the new particle generation date, wherein the first duration is the cumulative duration that the sulfur dioxide remote sensing monitoring index is greater than the sulfur dioxide remote sensing monitoring index threshold.

[0011] According to a remote sensing identification method for new particle generation events provided by the present invention, the regional nucleation index of the target date is obtained, and when the regional nucleation index of the target date is greater than the observation target threshold and the duration is greater than a preset duration threshold, the target date is used as the new particle generation date, including: obtaining the formaldehyde remote sensing monitoring index of the target date; when the formaldehyde remote sensing monitoring index is greater than the formaldehyde remote sensing monitoring index threshold in the observation target threshold and the second duration exceeds the preset duration threshold, the target date is used as the new particle generation date, wherein the second duration is the cumulative duration that the formaldehyde remote sensing monitoring index is greater than the formaldehyde remote sensing monitoring index threshold.

[0012] The present invention also provides a remote sensing identification device for new particle generation events, comprising the following modules: an observation module, used to perform ground-based remote sensing observations based on a spectrophotometer and a solar sky radiometer to obtain remote sensing observation data, wherein the remote sensing observation data include ultraviolet irradiance, gaseous precursor concentration and aerosol optical thickness; a first determination module, used to determine a regional nucleation index based on the ultraviolet irradiance, gaseous precursor concentration and aerosol optical thickness; a second determination module, used to determine a first new particle generation day when the regional nucleation index is greater than a preset observation initial threshold; an acquisition module, used to obtain a second new particle generation day obtained by online measurement and a third new particle generation day for reference; an update module, used to iteratively update the observation initial threshold based on the first new particle generation day, the second new particle generation day and the third new particle generation day to obtain an observation target threshold; an output module, used to obtain the regional nucleation index of a target date, and when the regional nucleation index of the target date is greater than the observation target threshold and the duration is greater than the preset duration threshold, the target date is used as the new particle generation date.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, any of the above-mentioned methods for remote sensing identification of new particle generation events is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the remote sensing identification method for a new particle generation event as described in any one of the above is implemented.

[0015] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the remote sensing identification method for a new particle generation event as described above is implemented.

[0016] The new particle generation event remote sensing identification method, device and equipment provided by the present invention perform ground-based remote sensing observations through a wind photometer and a solar sky radiometer to obtain remote sensing observation data such as ultraviolet irradiance, gaseous precursor concentration and aerosol optical thickness, thereby realizing the conversion of observed radiation into parameters with physical meanings; based on the ultraviolet irradiance, gaseous precursor concentration and aerosol optical thickness, a regional nucleation index is determined, thereby realizing the conversion of parameters with physical meanings into nucleation remote sensing indicators; it is determined that the regional nucleation index is greater than a preset observation initial threshold The first new particle generation day is used as the first new particle generation day, and the threshold is optimized using the exogenous data that can accurately identify the days of new particle generation events (i.e., the second new particle generation day obtained by online measurement and the third new particle generation day used for reference) to obtain the optimal observation target threshold; and the new particle generation event is identified based on the nucleation remote sensing index and the observation target threshold, and its duration is calculated at the same time, so as to realize the conversion of the nucleation remote sensing index into the parameter for quantitatively evaluating the new particle generation event; thereby solving the problem of the conversion of the nucleation remote sensing index into the parameter for quantitatively evaluating the new particle generation event in the related technology. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced one by one below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a flow chart of the remote sensing identification method of new particle generation events provided by the present invention.

[0019] Figure 2 It is a data matching flow chart provided by the present invention.

[0020] Figure 3 This is a flow chart for updating the initial threshold value of observation provided by the present invention.

[0021] Figure 4 It is the occurrence date and duration of the new particle generation event obtained by the remote sensing method provided by the present invention.

[0022] Figure 5 It is a structural schematic diagram of a remote sensing identification device for new particle generation events provided by the present invention.

[0023] Figure 6 It is a schematic diagram of the physical structure of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0025] In the related art, the observation of new particle generation events based on polar-orbiting satellites cannot achieve time-continuous monitoring, nor can it calculate the duration of new particle generation. Therefore, insufficient observation frequency is the main problem of polar-orbiting satellite observation.

[0026] Although the remote sensing indicators of new particle generation are calculated in the relevant technology, there is no specific identification standard, that is, it can only analyze the level and distribution of the indicators, and it is impossible to determine whether a new particle generation event has actually occurred. This is mainly because the remote sensing parameters of gaseous precursors and aerosols can always be inverted, while the occurrence of new particle generation events will only occur after the comprehensive indicators reach a certain threshold. Therefore, the missing threshold is one of the important problems that remote sensing methods cannot be truly applied.

[0027] From the perspective of nucleation gaseous precursors, the related art only considers one gaseous precursor (sulfur dioxide) for regional nucleation, and is unable to indicate the key chemical reaction mechanism of the new particle generation event. Therefore, considering a single gaseous precursor is a shortcoming of the related art.

[0028] The relevant technology is only meaningful on the scale of long-term average (for example: monthly average, or even annual average), and the instantaneous representation is poor. This is mainly due to the large uncertainty of satellite observations, especially the limited inversion capability of gaseous precursors (sulfur dioxide) that have a recognized important influence in the process of new particle generation. Low-precision products bring huge uncertainty to the results, resulting in usable accuracy only being achieved by averaging over a certain period of time, but this deviates from the principle of instantaneous new particle formation. Therefore, this is an important reason why the satellite remote sensing method for identifying new particle generation events cannot be promoted.

[0029] The present invention is based on ground-based remote sensing instruments with high inversion accuracy, establishes a complete threshold optimization scheme, increases the types of regional nucleation precursors, and realizes the identification and duration calculation of new particle generation events based on remote sensing means. In addition, the two instruments used in the present invention are standard instruments of two types of public networks (AERONET and PANDONIA), which makes the method of the present invention possible to be widely promoted.

[0030] refer to Figure 1 , Figure 1 FIG. 1 is a flow chart of a remote sensing identification method for a new particle generation event provided by the present invention. Figure 1As shown, the method comprises the following steps: Step 101, performing ground-based remote sensing observations based on a spectrophotometer and a solar sky radiometer to obtain remote sensing observation data, wherein the remote sensing observation data includes ultraviolet irradiance, gaseous precursor concentration, and aerosol optical depth.

[0031] In the embodiment of the present invention, based on observations of two ground-based remote sensing instruments, high-precision identification of new particle generation events with time continuity is performed. The main instruments are the CE318 sun-sky radiometer and the Pandora spectrophotometer. The comparison between the observations and the principles is shown in Table 1, which is a comparison table of observation data and quality control technology used in the new particle generation remote sensing identification method provided by the present invention.

[0032] Table 1

[0033] In an embodiment of the present invention, PANDONIA (a ground-based network for providing specific monitoring data) provides ultraviolet irradiance data at 310nm, total sulfur dioxide (SO2) column, total nitrogen dioxide (NO2) column, and total formaldehyde (HCHO) column, which are the main source items of new particle generation events. Among them, ultraviolet irradiance comes from L1-level products (usually referring to raw observation data or data that has been preliminarily processed but not deeply analyzed and interpreted), and observation values ​​are obtained every 1 to 2 minutes. Trace gas products are L2-level products (including not only the raw observation data of trace gases, but also information after in-depth analysis and interpretation). Due to the differences in the difficulty of observation technology for different gases, the integrity and resolution of the data time series have different gaps. The CE318 sun-sky radiometer provides aerosol optical depth (AOD, Aerosol Optical Depth) products, which are the main sink items.

[0034] Among them, ultraviolet irradiance is a physical quantity that describes the intensity of ultraviolet radiation. It refers to the radiation capacity received by a unit area on a specified surface. Specifically, ultraviolet irradiance can be the ultraviolet radiation energy projected onto a unit area in a unit time.

[0035] The concentration of gaseous precursors refers to the concentration of substances that exist in gaseous form in the atmosphere and can participate in chemical reactions and be converted into other forms of pollutants. These gaseous precursors usually include sulfur dioxide (SO2), nitrogen oxides (NOx, mainly including NO and NO2), volatile organic compounds (VOCs), etc. They can be converted into secondary pollutants such as sulfates, nitrates, ozone (O3) and particulate matter (such as PM2.5) through photochemical reactions, oxidation reactions and other processes in the atmosphere, which have an important impact on air quality.

[0036] Aerosol optical depth describes the optical thickness of aerosol components due to extinction, reflects the degree of light attenuation by aerosols, and is also called atmospheric turbidity.

[0037] Under clear sky conditions, solar radiation is relatively strong and can penetrate the atmosphere and directly illuminate the surface. Remote sensing instruments can capture light signals reflected or scattered in the atmosphere. Compared with cloudy or overcast conditions, clear sky weather has a higher signal-to-noise ratio, which is critical for detecting and analyzing the absorption characteristics of trace gases. At the same time, NPF events only occur under clear sky conditions, which means that the use of remote sensing data for NPF characterization and determination has a high feasibility. Remote sensing of aerosol particles is mainly based on ultraviolet, visible and near-infrared bands, and the detectable aerosol particle size is limited to particles with a diameter greater than about 100 nm. Therefore, ultrafine particles in the nuclear mode cannot be directly obtained by remote sensing of aerosol detectors. However, in the simplified model of NPF parameterization characterization, several important source and sink parameters, or related alternative parameters, can be calculated using remote sensing data. For example, trace gas precursors of NPF (SO2, NO2, NH3, HCHO) and aerosol optical thickness (AOD) and aerosol spectrum distribution used to replace condensation sinks.

[0038] refer to Figure 2 , Figure 2 The data matching flow chart provided by the present invention includes two types of public networks (AERONET and PANDONIA), wherein AERONET is used to provide aerosol optical depth (AOD), and PANDONIA is used to provide 310nm ultraviolet irradiance (UV 310nm ), sulfur dioxide (SO2), nitrogen dioxide (NO2) and formaldehyde (HCHO).

[0039] For ground-based remote sensing products, the time resolution of aerosol optical depth products is about 8 to 9 minutes, and the ultraviolet irradiance data at 310nm provided by PANDONIA obtains an observation value every 1 to 2 minutes. Due to the differences in the difficulty of observation technology for different gases, the integrity and resolution of the trace gas product (SO2, NO2, HCHO) data time series have different gaps. Under good observation conditions, NO2 can obtain multiple data within 1 minute, but there are not observation values ​​at all times. HCHO and SO2 obtain observation values ​​approximately every 7 minutes. Given the complexity of data types, technicians need to use the observation time with the least data volume and the lowest resolution as the standard when matching different data times. For example, the average of other data matched in a time window of ±15 minutes during 7:00-17:00 every day is used as the input parameter for remote sensing indicators for calculating new particle generation events. For specific procedures, please refer to Figure 2 .

[0040] Here, the extraction time of aerosol optical thickness is T AOD After extracting the desired trace gas products, one or more quality factors (QAs) are further calculated. These factors are used to evaluate the reliability and accuracy of the data. The quality factors (QAs) are then input into the subsequent new particle generation event remote sensing monitoring model (NPFRS model).

[0041] Step 102 , determining a regional nucleation index based on ultraviolet irradiance, gaseous precursor concentration, and aerosol optical thickness.

[0042] In the embodiment of the present invention, the first product of the ultraviolet irradiance of the target wavelength and the sulfur dioxide column concentration is determined; the ratio of the first product to the square value of the aerosol optical thickness is determined as the sulfur dioxide remote sensing monitoring index; Determine the second product of the ultraviolet irradiance of the target wavelength and the formaldehyde column concentration; determine the ratio of the second product to the square of the aerosol optical thickness as the formaldehyde remote sensing monitoring index; use the sulfur dioxide remote sensing monitoring index and the formaldehyde remote sensing monitoring index as regional nucleation indicators.

[0043] Step 103, determining the number of days for the first new particle generation when the regional nucleation index is greater than a preset observation initial threshold.

[0044] In an embodiment of the present invention, if the obtained regional nucleation index exceeds a preset observation initial threshold, it is considered that a new particle generation event occurs. Here, the observation initial threshold can be set relatively high to reduce the number of iterations.

[0045] Step 104 , obtaining a second new particle generation day obtained by online measurement and a third new particle generation day for reference.

[0046] In an embodiment of the present invention, the number of days of new particle generation events obtained by observation is compared with the number of days obtained by the above-mentioned remote sensing method for consistency. The observation may include obtaining a second number of new particle generation days (NPFObs) by online measurement using a ground scanning mobility particle size spectrometer (SMPS), and obtaining a third number of new particle generation days (NPFRef) for reference using data from reference literature.

[0047] Step 105, based on the first new particle generation day, the second new particle generation day and the third new particle generation day, the initial observation threshold is iteratively updated to obtain the observation target threshold.

[0048] In the embodiment of the present invention, the first new particle generation day, the second new particle generation day (measured online by ground SMPS) and the third new particle generation day (data from relevant references) are compared, and the threshold is iteratively updated. The observation target threshold with the smallest overall difference (i.e., the final optimal threshold) is obtained by the iterative process.

[0049] Among them, the observation target thresholds include the sulfur dioxide remote sensing monitoring index threshold and the formaldehyde remote sensing monitoring index threshold.

[0050] Step 106, obtaining the regional nucleation index of the target date, and when the regional nucleation index of the target date is greater than the observation target threshold and the duration is greater than the preset duration threshold, taking the target date as the new particle generation date.

[0051] In the embodiment of the present invention, the optimized thresholds of SO2 and HCHO (i.e., the above-mentioned observation target thresholds) are compared with the new particle generation remote sensing indicators calculated for a single day (i.e., the above-mentioned regional nucleation indicators, including sulfur dioxide remote sensing monitoring indicators and formaldehyde remote sensing monitoring indicators). If one of the two indicators is greater than its threshold and lasts for more than half an hour, then we determine that this day is a new particle generation day.

[0052] Through the above steps of the embodiment of the present invention, ground-based remote sensing observations are performed based on a spectrophotometer and a solar sky radiometer to obtain remote sensing observation data, wherein the remote sensing observation data includes ultraviolet irradiance, gaseous precursor concentration, and aerosol optical thickness; regional nucleation index is determined based on ultraviolet irradiance, gaseous precursor concentration, and aerosol optical thickness; the first new particle generation day when the regional nucleation index is greater than the preset observation initial threshold is determined; the second new particle generation day obtained by online measurement and the third new particle generation day for reference are obtained; based on the first new particle generation day, the second new particle generation day, and the third new particle generation day, the observation initial threshold is iteratively updated to obtain the observation target threshold; the regional nucleation index of the target date is obtained, and when the regional nucleation index of the target date is greater than the observation target threshold and the duration is greater than the preset duration threshold, the target date is used as the new particle generation date. Thus, the conversion of the nucleation remote sensing index to the parameter for quantitatively evaluating the new particle generation event in the related art is solved.

[0053] According to a new particle generation event remote sensing identification method provided by the present invention, the gaseous precursor concentration includes sulfur dioxide column concentration, nitrogen dioxide column concentration and formaldehyde column concentration, and the regional nucleation index is determined based on ultraviolet irradiance, gaseous precursor concentration and aerosol optical thickness, including: Determining a first product of the ultraviolet irradiance at the target wavelength and the sulfur dioxide column concentration; Determine the ratio of the first product to the square of the aerosol optical depth as an indicator for remote sensing monitoring of sulfur dioxide; determining a second product of the ultraviolet irradiance at the target wavelength and the formaldehyde column concentration; Determine the ratio of the second product to the square of the aerosol optical depth as a formaldehyde remote sensing monitoring indicator; The sulfur dioxide remote sensing monitoring index and the formaldehyde remote sensing monitoring index are used as regional nucleation indicators.

[0054] In the embodiment of the present invention, the sulfur dioxide remote sensing monitoring index can be determined by the following formula (1): (1)

[0055] in, Represents the sulfur dioxide remote sensing monitoring index, represents the ultraviolet irradiance at 310 nanometers, represents the sulfur dioxide column concentration, Represents the square of aerosol optical thickness.

[0056] In the embodiment of the present invention, the formaldehyde remote sensing monitoring index can be determined by the following formula (2): (2)

[0057] in, Represents the formaldehyde remote sensing monitoring index, represents the ultraviolet irradiance at 310 nanometers, represents the formaldehyde column concentration, Represents the square of aerosol optical thickness.

[0058] According to a new particle generation event remote sensing identification method provided by the present invention, the method further includes: The ratio of sulfur dioxide column concentration to aerosol optical thickness is used as a sulfur dioxide priority indicator; The ratio of NO2 column concentration to aerosol optical depth is used as a NO2 priority indicator; The sulfur dioxide priority index and the nitrogen dioxide priority index are used as primary nucleation indexes.

[0059] In the embodiment of the present invention, the sulfur dioxide priority index can be expressed by the following formula (3): (3)

[0060] in, represents the sulfur dioxide priority index, represents the sulfur dioxide column concentration, represents the aerosol optical depth.

[0061] In the embodiment of the present invention, the nitrogen dioxide priority index can be expressed by the following formula (4): (4)

[0062] in, represents the nitrogen dioxide priority index, represents the column concentration of nitrogen dioxide, represents the aerosol optical depth.

[0063] According to a new particle generation event remote sensing identification method provided by the present invention, the observation target threshold includes: a sulfur dioxide remote sensing monitoring index threshold and a formaldehyde remote sensing monitoring index threshold; the observation target threshold is used to minimize the overall difference between the first new particle generation day, the second new particle generation day and the third new particle generation day.

[0064] refer to Figure 3 , Figure 3 This is a flow chart for updating the initial threshold value of observation provided by the present invention.

[0065] In the embodiment of the present invention, the sulfur dioxide remote sensing monitoring index in the regional nucleation index is obtained ( ) and formaldehyde remote sensing monitoring indicators ( ), as well as the sulfur dioxide remote sensing monitoring index threshold and formaldehyde remote sensing monitoring index threshold in the observation target threshold.

[0066] When the sulfur dioxide remote sensing monitoring index is greater than the sulfur dioxide remote sensing monitoring index threshold in the observation target threshold, or when the formaldehyde remote sensing monitoring index is greater than the formaldehyde remote sensing monitoring index threshold in the observation target threshold, the first new particle generation day (NPF) obtained by the remote sensing method RS ); The second number of new particle generation days (NPFObs) was obtained by online measurement, and the third number of new particle generation days (NPFRef) was obtained for reference.

[0067] Based on the first new particle generation day, the second new particle generation day and the third new particle generation day, the initial observation threshold is iteratively updated, and the observation target threshold (as the optimal threshold) that can minimize (Min) the overall difference of the above parameters is obtained by an iterative process.

[0068] According to a remote sensing identification method for new particle generation events provided by the present invention, a regional nucleation index of a target date is obtained, and when the regional nucleation index of the target date is greater than an observation target threshold and the duration is greater than a preset duration threshold, the target date is used as a new particle generation date, including: Obtain sulfur dioxide remote sensing monitoring indicators on the target date; When the sulfur dioxide remote sensing monitoring index is greater than the sulfur dioxide remote sensing monitoring index threshold in the observation target threshold and the first duration exceeds the preset duration threshold, the target date is used as the new particle generation date, wherein the first duration is the cumulative duration that the sulfur dioxide remote sensing monitoring index is greater than the sulfur dioxide remote sensing monitoring index threshold.

[0069] According to a remote sensing identification method for new particle generation events provided by the present invention, a regional nucleation index of a target date is obtained, and when the regional nucleation index of the target date is greater than an observation target threshold and the duration is greater than a preset duration threshold, the target date is used as a new particle generation date, including: Obtain formaldehyde remote sensing monitoring indicators on the target date; When the formaldehyde remote sensing monitoring index is greater than the formaldehyde remote sensing monitoring index threshold in the observation target threshold and the second duration exceeds the preset duration threshold, the target date is used as the new particle generation date, wherein the second duration is the cumulative duration that the formaldehyde remote sensing monitoring index is greater than the formaldehyde remote sensing monitoring index threshold.

[0070] In the embodiment of the present invention, the optimized thresholds of SO2 and HCHO are respectively compared with the new particle generation remote sensing index calculated for a single day. If one of the two indicators meets the requirement greater than the threshold and lasts for more than half an hour, then this day is determined to be a new particle generation day.

[0071] The duration is calculated from the first observation moment exceeding the threshold to the last moment. Given the continuity of new particle generation events, due to the instability of observation, a small number of moments below the threshold may appear among the continuous points above the threshold. In this case, the moment is identified as a deviation caused by inaccurate observation and is also counted as a new particle generation event.

[0072] A remote sensing identification method for a new particle generation event provided in an embodiment of the present invention mainly comprises the following steps: Step 1: Use Pandora spectrophotometer and CE318 sun-sky radiometer to perform ground-based remote sensing observations to obtain inversion products such as 310nm ultraviolet irradiance, gaseous precursor concentration, and aerosol optical depth. This step completes the conversion of observed radiation into parameters with physical meaning.

[0073] Step 2: Calculate the four remote sensing indicators of regional nucleation and primary nucleation using the products of 310nm ultraviolet irradiance, gaseous precursor concentration and aerosol optical depth (for details, please refer to the above formulas 1-4). This step completes the transformation of parameters with physical meaning into remote sensing indicators of nucleation.

[0074] Step 3: Based on the four remote sensing indicators obtained by calculation, the threshold is optimized using exogenous data that can accurately identify new particle generation events (e.g., in-situ SMPS measurements, data recorded in literature, etc.) to obtain the optimal threshold.

[0075] It should be noted that the above-mentioned optimal threshold may be predetermined, and after the optimal threshold is determined, this step may be omitted.

[0076] Step 4: Using the nucleation remote sensing index calculated in step 2 and the optimal threshold obtained in step 3, identify the new particle generation event and calculate its duration. This step is the transformation of the nucleation remote sensing index into a parameter for quantitatively evaluating the new particle generation event.

[0077] refer to Figure 4 , Figure 4 is the date and duration of the new particle generation event obtained by the remote sensing method provided by the present invention, where the horizontal axis is the date, Figure 4 (a) The vertical axes are the new particle generation events (NPF) obtained by remote sensing methods. RS ), new particle generation events (NPF) obtained by online measurement of ground SMPS Obs ), new particle generation events (NPF) obtained based on the data of references Ref ); Figure 4 (b) The vertical axis is the maximum sulfur dioxide index obtained by remote sensing monitoring; Figure 4 (c) The vertical axis is the maximum formaldehyde index obtained by remote sensing monitoring.

[0078] Through the above steps of the embodiment of the present invention, ground-based remote sensing instruments are used to achieve time-continuous monitoring of new particle generation events; a self-consistent threshold iteration optimization method is established by integrating ground-based remote sensing and in-situ measurements, and the occurrence of new particle generation events is successfully identified, and compared with in-situ high-precision measurements, the effectiveness is as high as 84%; the particle composition information (HCHO) of regional nucleation is expanded, which to a certain extent indicates the key chemical reaction mechanism of new particle generation events.

[0079] The related technology is based on polar-orbit satellite observation, which cannot achieve time-continuous monitoring and cannot calculate the duration of new particle generation. The present invention uses a ground-based remote sensing instrument with time-continuous observation for the first time, which effectively solves this problem. It can not only obtain parameters with better accuracy than satellite inversion, but also achieve time-continuous observation and effectively estimate the duration of new particle generation events.

[0080] Although the related technology has calculated the remote sensing indicators of new particle generation, there is no specific identification standard, that is, it can only analyze the level and distribution of the indicators, and cannot determine whether a new particle generation event has actually occurred. This is mainly because the remote sensing parameters of gaseous precursors and aerosols can always be inverted, while the occurrence of new particle generation events will only occur after the comprehensive indicators exceed a certain threshold. Therefore, the present invention combines ground-based remote sensing and in-situ measurements for the first time, establishes a self-consistent threshold iteration optimization method, and successfully identifies the occurrence of new particle generation events, and compared with in-situ high-precision measurements, the effectiveness is as high as 84%.

[0081] From the perspective of nucleation gaseous precursors, the related art only considers one gaseous precursor SO2 for regional nucleation, while the present invention considers two gaseous precursors (SO2 and HCHO) in detail, which can indicate the key reaction mechanism of new particle generation events to a certain extent.

[0082] The relevant technology is only meaningful on the scale of long-term average (for example: monthly average, or even annual average), but the instantaneous representation is poor. This is mainly due to the large uncertainty of satellite observations, especially the limited inversion ability of the gaseous precursor SO2, which has a recognized important influence in the process of new particle generation. Therefore, the use of ground-based remote sensing can better reduce the uncertainty of remote sensing parameters, making the new particle generation remote sensing indicators obtained by instantaneous observations credible and comparable.

[0083] The new particle generation event remote sensing identification device provided by the present invention is described below. The new particle generation event remote sensing identification device described below and the new particle generation event remote sensing identification method described above can be referenced to each other.

[0084] refer to Figure 5 , Figure 5 It is a structural diagram of a remote sensing identification device for new particle generation events provided by the present invention, which includes an observation module 501, a first determination module 502, a second determination module 503, an acquisition module 504, an update module 505 and an output module 506.

[0085] An observation module 501 is used to perform ground-based remote sensing observations based on a spectrophotometer and a solar sky radiometer to obtain remote sensing observation data, wherein the remote sensing observation data includes ultraviolet irradiance, gaseous precursor concentration, and aerosol optical depth; A first determination module 502, for determining a regional nucleation index based on ultraviolet irradiance, gaseous precursor concentration and aerosol optical thickness; The second determination module 503 is used to determine the number of days for the first new particle generation when the regional nucleation index is greater than a preset observation initial threshold; An acquisition module 504 is used to acquire a second new particle generation day obtained by online measurement and a third new particle generation day for reference; An updating module 505 is used to iteratively update the initial observation threshold based on the first new particle generation day, the second new particle generation day and the third new particle generation day to obtain an observation target threshold; The output module 506 is used to obtain the regional nucleation index of the target date, and when the regional nucleation index of the target date is greater than the observation target threshold and the duration is greater than the preset duration threshold, the target date is used as the new particle generation date.

[0086] Specifically, the above-mentioned new particle generation event remote sensing identification device provided by the present invention can implement all the method steps implemented by the above-mentioned new particle generation event remote sensing identification method embodiment, and can achieve the same technical effect. The parts and beneficial effects that are the same as those in the method embodiment will not be specifically repeated here.

[0087] Figure 6 is a schematic diagram of the physical structure of the electronic device provided by the present invention, such as Figure 6 As shown, the electronic device may include: a processor (processor) 610 , a communication interface (Communications Interface) 620 , a memory (memory) 630 and a communication bus 640 , wherein the processor 610 , the communication interface 620 , and the memory 630 communicate with each other through the communication bus 640 . The processor 610 can call the logic instructions in the memory 630 to execute the remote sensing identification method of new particle generation events, which includes: performing ground-based remote sensing observations based on a spectrophotometer and a solar sky radiometer to obtain remote sensing observation data, wherein the remote sensing observation data includes ultraviolet irradiance, gaseous precursor concentration and aerosol optical thickness; determining a regional nucleation index based on the ultraviolet irradiance, gaseous precursor concentration and aerosol optical thickness; determining a first new particle generation day when the regional nucleation index is greater than a preset observation initial threshold; obtaining a second new particle generation day obtained by online measurement and a third new particle generation day for reference; iteratively updating the observation initial threshold based on the first new particle generation day, the second new particle generation day and the third new particle generation day to obtain an observation target threshold; obtaining the regional nucleation index of the target date, and when the regional nucleation index of the target date is greater than the observation target threshold and the duration is greater than the preset duration threshold, taking the target date as the new particle generation date.

[0088] In addition, the logic instructions in the above-mentioned memory 630 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0089] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the remote sensing identification method of new particle generation events provided by the above methods, which includes: performing ground-based remote sensing observations based on a spectrophotometer and a solar sky radiometer to obtain remote sensing observation data, wherein the remote sensing observation data includes ultraviolet irradiance, gaseous precursor concentration, and aerosol optical thickness; based on ultraviolet irradiance, gaseous precursor concentration, and aerosol optical thickness, The method comprises the following steps: determining a regional nucleation index based on the thickness of the sample; determining the first new particle generation day when the regional nucleation index is greater than a preset observation initial threshold; obtaining the second new particle generation day obtained by online measurement and the third new particle generation day for reference; iteratively updating the observation initial threshold based on the first new particle generation day, the second new particle generation day and the third new particle generation day to obtain an observation target threshold; obtaining the regional nucleation index of the target date, and taking the target date as the new particle generation date when the regional nucleation index of the target date is greater than the observation target threshold and the duration is greater than the preset duration threshold.

[0090] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the remote sensing identification method for new particle generation events provided by the above-mentioned methods, the method comprising: performing ground-based remote sensing observations based on a spectrophotometer and a solar sky radiometer to obtain remote sensing observation data, wherein the remote sensing observation data include ultraviolet irradiance, gaseous precursor concentration and aerosol optical thickness; determining a regional nucleation index based on the ultraviolet irradiance, gaseous precursor concentration and aerosol optical thickness; determining a first new particle generation day when the regional nucleation index is greater than a preset observation initial threshold; obtaining a second new particle generation day obtained by online measurement and a third new particle generation day for reference; iteratively updating the observation initial threshold based on the first new particle generation day, the second new particle generation day and the third new particle generation day to obtain an observation target threshold; obtaining a regional nucleation index for a target date, and taking the target date as a new particle generation date when the regional nucleation index for the target date is greater than the observation target threshold and the duration is greater than the preset duration threshold.

[0091] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0092] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0093] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A remote sensing identification method for new particle generation events, characterized in that: include: Conducting ground-based remote sensing observations based on a spectrophotometer and a solar sky radiometer to obtain remote sensing observation data, wherein the remote sensing observation data includes ultraviolet irradiance, gaseous precursor concentration, and aerosol optical depth; determining a regional nucleation index based on the ultraviolet irradiance, the gaseous precursor concentration, and the aerosol optical thickness; Determine the number of days for the first new particle generation when the regional nucleation index is greater than a preset observation initial threshold; Obtaining a second new particle generation day obtained by online measurement and a third new particle generation day for reference; Iteratively updating the initial observation threshold based on the first new particle generation day, the second new particle generation day, and the third new particle generation day to obtain an observation target threshold; A regional nucleation index of a target date is obtained, and when the regional nucleation index of the target date is greater than the observation target threshold and the duration is greater than a preset duration threshold, the target date is used as a new particle generation date.

2. The remote sensing identification method of new particle generation events according to claim 1, characterized in that: The gaseous precursor concentration includes a sulfur dioxide column concentration, a nitrogen dioxide column concentration, and a formaldehyde column concentration. The determining of the regional nucleation index based on the ultraviolet irradiance, the gaseous precursor concentration, and the aerosol optical thickness includes: Determining a first product of the ultraviolet irradiance at a target wavelength and the sulfur dioxide column concentration; Determining a ratio of the first product to the square value of the aerosol optical thickness as a sulfur dioxide remote sensing monitoring indicator; determining a second product of the ultraviolet irradiance at the target wavelength and the formaldehyde column concentration; Determining a ratio of the second product to the square value of the aerosol optical thickness as a formaldehyde remote sensing monitoring indicator; The sulfur dioxide remote sensing monitoring index and the formaldehyde remote sensing monitoring index are used as regional nucleation indexes.

3. The remote sensing identification method of new particle generation events according to claim 2, characterized in that: The method further comprises: taking the ratio of the sulfur dioxide column concentration to the aerosol optical thickness as a sulfur dioxide priority indicator; using the ratio of the nitrogen dioxide column concentration to the aerosol optical thickness as a nitrogen dioxide priority indicator; The sulfur dioxide priority index and the nitrogen dioxide priority index are used as primary nucleation indexes.

4. The remote sensing identification method of new particle generation events according to claim 1, characterized in that: The observation target threshold includes: a sulfur dioxide remote sensing monitoring index threshold and a formaldehyde remote sensing monitoring index threshold; the observation target threshold is used to minimize the overall difference between the first new particle generation days, the second new particle generation days and the third new particle generation days.

5. The remote sensing identification method of new particle generation events according to claim 1, characterized in that: The step of obtaining the regional nucleation index of the target date and taking the target date as the new particle generation date when the regional nucleation index of the target date is greater than the observation target threshold and the duration is greater than a preset duration threshold includes: Obtain sulfur dioxide remote sensing monitoring indicators on the target date; When the sulfur dioxide remote sensing monitoring index is greater than the sulfur dioxide remote sensing monitoring index threshold in the observation target threshold, and the first duration exceeds the preset duration threshold, the target date is used as the new particle generation date, wherein the first duration is the cumulative duration that the sulfur dioxide remote sensing monitoring index is greater than the sulfur dioxide remote sensing monitoring index threshold.

6. The remote sensing identification method of new particle generation events according to claim 1, characterized in that: The step of obtaining the regional nucleation index of the target date and taking the target date as the new particle generation date when the regional nucleation index of the target date is greater than the observation target threshold and the duration is greater than a preset duration threshold includes: Obtain formaldehyde remote sensing monitoring indicators on the target date; When the formaldehyde remote sensing monitoring index is greater than the formaldehyde remote sensing monitoring index threshold in the observation target threshold, and the second duration exceeds the preset duration threshold, the target date is used as the new particle generation date, wherein the second duration is the cumulative duration that the formaldehyde remote sensing monitoring index is greater than the formaldehyde remote sensing monitoring index threshold.

7. A remote sensing identification device for new particle generation events, characterized in that: include: An observation module, used for performing ground-based remote sensing observation based on a spectrophotometer and a solar sky radiometer to obtain remote sensing observation data, wherein the remote sensing observation data includes ultraviolet irradiance, gaseous precursor concentration, and aerosol optical depth; A first determination module, configured to determine a regional nucleation index based on the ultraviolet irradiance, the gaseous precursor concentration and the aerosol optical thickness; A second determination module is used to determine the number of days for the first new particle generation when the regional nucleation index is greater than a preset observation initial threshold; An acquisition module, used for acquiring a second new particle generation day obtained by online measurement and a third new particle generation day for reference; An updating module, configured to iteratively update the initial observation threshold based on the first new particle generation day, the second new particle generation day, and the third new particle generation day to obtain an observation target threshold; The output module is used to obtain the regional nucleation index of the target date, and when the regional nucleation index of the target date is greater than the observation target threshold and the duration is greater than a preset duration threshold, the target date is used as the new particle generation date.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the remote sensing identification method for new particle generation events according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the remote sensing identification method for new particle generation events according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the remote sensing identification method for new particle generation events according to any one of claims 1 to 6 is implemented.

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