CN104021276A - Global and regional air quality monitoring method - Google Patents
Global and regional air quality monitoring method Download PDFInfo
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- CN104021276A CN104021276A CN201410202487.1A CN201410202487A CN104021276A CN 104021276 A CN104021276 A CN 104021276A CN 201410202487 A CN201410202487 A CN 201410202487A CN 104021276 A CN104021276 A CN 104021276A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
- Y02A50/20—Air quality improvement or preservation, e.g. vehicle emission control or emission reduction by using catalytic converters
Abstract
The invention relates to a global and regional air quality monitoring method. The method can be applied to an ambient air monitoring department and the like. The method comprises the four steps that firstly, the space aerosol concentration at different time t (10:30 and 13:30) is calculated according to MODIS aerosol products; secondly, the global aerosol concentration at the time t is calculated; thirdly, the average aerosol concentration is calculated according to information calculated in the step one and the step two; fourthly, the global or regional air quality changing trend is calculated, and space-time trend analysis is performed on global or regional air quality changes. Through analysis on a global scale during the past 10 years, it is found that air quality pollution of India, the east of China and the middle of Africa are very serious and are intensified.
Description
Technical field
The present invention relates to a kind of method of utilizing MODIS aerosol product on earth observation satellite to calculate the whole world and regional air quality, broken through the limitation that classic method is utilized ground observation website.Can be applied in the departments such as meteorological and environmental monitoring.
Background technology
In this method, the whole world and regional air quality monitoring refer to that the whole world and zone leveling aerosol concentration every day change, it is a very important parameter [Charlson in air quality monitoring, particularly haze monitoring, R.J., S.E. Schwartz, J.M. Hales, R.D. Cess, J.A. Coakley, Jr., J.E. Hansen, and D.J. Hoffman, Climate forcing by anthropogenic aerosols.
science, 1992,
255, 423-430.].Because global air quality monitoring is subject to time and space, and the impact of earth's surface situation, so far also do not have a kind of method can estimate well global environment air quality [Fuzzi, S., M. O. Andreae, B. J. Huebert, M. Kulmala, T. C. Bond, M. Boy, S. J. Doherty, A. Guenther, M. Kanakidou, K. Kawa, ura, V. M. Kerminen, U. Lohmann, L. M. Russell, and U. P schl, Critical assessment of the current state of scientific knowledge terminology, and research needs concerning the role of organic aerosols in the atmosphere, climate, and global change. Atmos. Chem. Phys., 2006,
6, 2017-2938.].At present, in ambient air quality monitoring, the known method of obtaining city or regional air quality is to utilize earth's surface observation station data to carry out spatial interpolation, then utilize area weight to calculate [Dubovik, O., B. Holben, et al. (2002). " Variability of absorption and optical properties of key aerosol types observed in worldwide locations. " Journal of the Atmospheric Sciences
59(3): 590-608.].Surface-based observing station point quantity is very limited, and is not uniformly distributed, and particularly, in mountain area and area, ocean, the result that interpolation obtains is not very good, and precision is not very high.
MODIS remote sensor carried earth observation satellite successful launch in 1999 and 2002, for global and region resource environmental dynamic monitor have been opened up another new approach.MODIS is an intermediate-resolution remote sensing system that has 36 wave bands, can obtain 4 global observation data (1:30,10:30,13:30,22:3) every day, its flight and sun synchronization, and be free reception, be therefore applicable to very much global environment monitoring.In 36 wave bands of MODIS, there are 3 wave bands to be applicable to aerosol optical depth (can represent aerosol concentration with it).At present for the gasoloid inversion algorithm of MODIS remotely-sensed data many [Chu, D. A., Y. J. Kaufman, et al. (2002). " Validation of MODIS aerosol optical depth retrieval over land. " Geophysical Research Letters
29(12): art. no.-1617.; Chu; D. A.; L. A. Remer; Y. J. Kaufman; B. Schmid; J. Redemann; K. Knobelspiesse, J. D. Chern, J. Livingston; P. B. Russell; X. Xiong, and W. Ridgway, 2005:Evaluation of aerosol properties over ocean from Moderate Resolution Imaging Spectroradiometer (MODIS) during ACE-Asia.J. Geophys. Res.; 110 (D07308), doi:10.1029/2004/JD005208; Husar, R.B., J.M. Prospero, and L.L. Stowe, Characterization of tropospheric aerosols over the oceans with NOAA Advanced Very High Resolution Radiometer optical thickness operational product.
j. Geophys. Res., 1997,
102, 16889-909.], NASA (NASA) provides the global temperatures moon product of 2 times every day, its Product Precision is also very high [Anderson, T.L., Y. Wu, D.A. Chu, B.Schmid, J. Redemann and O. Dubovik, 2006:Testing the MODIS satellite retrieval of aerosol fine-mode fraction, J.Geophys.Res., 110, D18204, doi:10.1029/2005JD005978; ].Although there are some researchs to utilize gasoloid to analyze air quality [Al-Saadi, J., J. Szykman, R. B. Pierce, C. Kittaka, D. Neil, D. A. Chu, L. Remer, L. Gumley, E. Prins, L. Weinstock, C. MacDonald, R. Wayland, F. Dimmick, and J. Fishman, 2005:Improving National Air Quality Forecasts with Satellite Aerosol Observations. Bull. Am. Met. Soc., 86 (9), 1249-1261.], but also do not utilize the method for the MODIS aerosol product estimation whole world and zone leveling air quality and Spatial-Temporal Change Trend to deliver at present.
Summary of the invention
The object of the present invention is to provide a kind of from the remotely-sensed data MODIS aerosol product estimation whole world and zone leveling air quality method, to overcome existing air quality monitoring, utilize the practical difficulty of meteorological site observation, and meteorological site interpolation is difficult to guarantee the shortcoming of precision, the further estimation precision that improves the whole world and regional air quality.
For achieving the above object, the method from the remotely-sensed data MODIS aerosol product estimation whole world and zone leveling air quality provided by the invention is:
The first step: raw data is processed and space interpolation processing, then calculated the space average gasoloid of different time t (10:30,13:30) with equation 1 from MODIS aerosol product.
(1)
In formula
aOD mj t be pixel at the average aerosol concentration of time t,
ithe number of days in a year,
aODhigher, represent that air quality is poorer;
second step: equation 2 calculates the average gasoloid in the t whole world constantly
(2)
In formula
aOD m t constantly
taverage aerosol concentration,
inumber of days,
jpixel number,
s(
j) pixel
jarea weight function,
aOD ij t it is the time
t(10:30,13:30) aerosol concentration (air quality);
The 3rd step: utilize equation 3, the information that the first step and second step calculate is calculated the gasoloid information (air quality) of average every day of two time points and calculated average gasoloid (air quality) information.
(3)
In formula
aOD m be average aerosol concentration, represent air quality;
The 4th step: the whole world or region aerosol concentration value and the further whole world or the regional air mass change trend calculated of formula 4 of utilizing the 3rd step to calculate, spatio-temporal change analysis is carried out in the whole world or regional air mass change
（4）
In formula
slope_Raterepresent air quality time rate of change, which year K represents,
aOD mk be the gasoloid (air quality) of k, n represents this time.
The invention has the beneficial effects as follows, utilize the concentration value of MODIS aerosol product different time every day, calculate the average air quality in the whole world and region, effectively overcome classic method surface-based observing station point lazy weight in the past, skewness, and proofread and correct inconsistent shortcoming.For waiting, global environment (air quality) monitoring provides effective means and technical support.Its operation practicality must be simple than traditional ground observation website interpolation of utilizing, and on face, precision wants high.In fact, surface-based observing station is also that this method is further carried high-precision data important supplement source, and the two is in conjunction with will greatly improving the estimation precision of global air quality.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the present invention is further described.
Accompanying drawing explanation
Fig. 1 is 2003-2010 whole world spring, summer, autumn and winter average air quality distribution diagram.
Fig. 2 is 2003-2010 whole world spring, summer, autumn and winter average air mass change trend distribution plan.
Fig. 3 is 2003-2010 whole world air quality statistics variations trend distribution plan.
Fig. 4 is 2003-2010 region (Asia, North America, South America and Oceania etc.) air quality statistics variations trend distribution plan.
Embodiment
An example that calculates the average gasoloid calculating in the whole world in 2003 to 2010 is provided here, and this example is realized (method) and is mainly comprised four steps:
The first step: raw data is carried out to interpolation processing, we calculate different time t (10:30 with equation 1 from MODIS aerosol product, the average gasoloid of 2003-2010 spring, summer, autumn and winter global space (air quality) 13:30), (a) spring as shown in Figure 1, (b) summer, (c) autumn, (d) winter.As can be seen from the figure, global air quality differs from area most and is respectively India, and Eastern China and central africa also have Muscovite prospecting to add the peninsula.Global pollution overall trend is southwestern northeast trend (prospecting of central africa-India-Eastern China-Russia adds the peninsula).From spring, summer, autumn and winter southern hemisphere and northern hemisphere gasoloid, change, global aerocolloidal variation temperature influence is larger.
Second step: equation 2 calculates the average gasoloid in the t whole world constantly.
The 3rd step: utilize equation 3, the information that the first step and second step calculate is calculated the gasoloid information (air quality) of average every day of two time points and calculated average gasoloid (air quality) information.
The 4th step: the whole world or the region aerosol concentration value of utilizing the 3rd step to calculate, utilize formula 4 further to calculate the whole world or regional air mass change trend, spatio-temporal change analysis is carried out in the whole world or regional air mass change, Fig. 2 represents global space variation tendency (a) spring, (b) summer, (c) autumn, (d) winter.The gasoloid increase trend of the Indian Ocean is obvious, and India's air quality whole world is the poorest, takes second place in Eastern China; Fig. 3 represents world statistics average air mass change trend, and Fig. 4 is range statistics average air mass change trend.
Claims (1)
1. the whole world and regional air quality monitoring method
,the steps include:
The first step: raw data is processed and space interpolation processing, then calculated the space average gasoloid of different time t (10:30,13:30) with equation 1 from MODIS aerosol product
(1)
In formula
aOD mj be pixel at the average aerosol concentration of time t,
ibe the number of days in a year, AOD is higher, represents that air quality is poorer;
Second step: equation 2 calculates the average gasoloid in the t whole world constantly
(2)
In formula
aOD m t constantly
taverage aerosol concentration,
inumber of days,
jpixel number,
s(
j) pixel
jarea weight function,
aOD ij t it is the time
t(10:30,13:30) aerosol concentration (air quality);
The 3rd step: utilize equation 3, the information that the first step and second step calculate is calculated the gasoloid information (air quality) of average every day of two time points and calculated average gasoloid (air quality) information
(3)
In formula
aOD m be average aerosol concentration, represent air quality;
The 4th step: the whole world or region aerosol concentration value and the further whole world or the regional air mass change trend calculated of formula 4 of utilizing the 3rd step to calculate, spatio-temporal change analysis is carried out in the whole world or regional air mass change
（4）
In formula
slope_Raterepresent air quality time rate of change, which year K represents,
aOD mk be the gasoloid (air quality) of k, n represents this time, and the nearly 10 years whole world is analyzed and found, India and Eastern China and central africa air pollution quality are very serious, and the trend of aggravation.
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| CN111178776A (en) * | 2019-12-31 | 2020-05-19 | 国家卫星气象中心(国家空间天气监测预警中心) | Atmospheric environment evaluation method and device and electronic system |
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