Method for quantitatively researching purification effects, on PM2.5, of city forests

A PM2.5, urban technology, applied in the field of forest management, can solve few problems

Active Publication Date: 2017-12-19
INST OF URBAN ENVIRONMENT CHINESE ACAD OF SCI
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Problems solved by technology

However, many of the current studies targeting PM 2.5 The research is mainly from the small scale of plots or plants, and the research on the reduction of atmospheric particulate matter in urban fore

Method used

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  • Method for quantitatively researching purification effects, on PM2.5, of city forests
  • Method for quantitatively researching purification effects, on PM2.5, of city forests
  • Method for quantitatively researching purification effects, on PM2.5, of city forests

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specific Embodiment approach

[0038] Its specific implementation is as follows:

[0039] 1. Collect AQUA-MODIS data with a spatial resolution of 250 meters in 2014 including Jinjiang City, Quanzhou City (Qingyuanshan, Wan'an, Tushan Street and Jintoupu) and Xiamen City (Gulangyu, Huli, Hongwen, Xixi East) hourly PM at each of the 4 ground monitoring stations 2.5 Concentration and data from 2 meteorological stations in the north and south of Jinjiang City, including relative humidity, visibility, wind speed and direction.

[0040] 2. Use MODIS data to carry out AOD inversion calculation, and obtain the AOD spatial distribution map with a resolution of 500 meters.

[0041] 3. After height correction and humidity correction, the extinction coefficient of the dried aerosol ( ) spatial distribution map.

[0042] 4. Since Jinjiang is a coastal city with more cloudy weather and fewer meteorological stations, the amount of data that meets the principle of establishing a relationship is relatively small, so the...

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Abstract

The invention belongs to the technical field of forest management, and relates to a remote sensing image data, weather station and forest survey data fused quantitative forest ecological function research method. According to the method, a PM2.5 mean concentration spatial distribution map is obtained through inversion according to MODIS remote sensing images from a city regional scale, and sizes of direct and interactive actions between influence factors are quantitatively analyzed by using a spatial statistical analysis method. The method mainly comprises four stages of: generating the PM2.5 mean concentration spatial distribution map, carrying out spatial matching and fusion on PM2.5 mean concentration data and each piece of ecological factor data, selecting proper analysis threshold value to recognize cold and hot point regions, and locking and reforming main influence factors. According to the method, the data obtaining approach is relatively simple and the cost is relatively low, the inversion operation is simple and has popularization performance, and the quantification result of influence of each influence factor can provide guiding thought and scientific basis for city forest managers to improve city forest layout.

Description

technical field [0001] The invention belongs to the technical field of forest management, and in particular relates to a forest ecological function quantitative research method based on the integration of remote sensing image earth observation data and ground observation data of meteorological stations and forest survey data. Background technique [0002] PM 2.5 Although the content of particulate matter in the earth's atmosphere is very small, it is rich in a large amount of toxic and harmful substances or becomes the carrier of viruses and bacteria. It stays in the atmosphere for a long time and has a long transportation distance. It has a significant impact on mortality and mortality, and causes diseases including asthma, bronchitis, lung cancer and cardiovascular disease. [0003] In recent years, extensive monitoring, prediction and inversion studies have been carried out on the temporal and spatial distribution of near-surface particulate matter concentrations at home...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/367
Inventor 左舒翟任引石光明
Owner INST OF URBAN ENVIRONMENT CHINESE ACAD OF SCI
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