CN113469537B - Urban greenbelt sporopollen sensitization risk value calculation method based on weather and population density - Google Patents
Urban greenbelt sporopollen sensitization risk value calculation method based on weather and population density Download PDFInfo
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Abstract
The invention discloses a method for calculating an urban greenbelt sporopollen sensitization risk value based on weather and population density, which comprises the following steps of: s1, calculating the allergenicity of each plant according to the plant characteristics of urban green lands; s2, calculating the spore powder sensitization risk values of various urban greenbelts according to the sensitization force of each plant; s3, gridding distribution graphs of spore powder sensitization risk values of various greenbelts in the city, and drawing a map of spore powder sensitization risk weighted values of the greenbelts in the city; s4, according to the population density of the urban street, based on the population density distribution map, obtaining an urban population density weighted value; s5, acquiring meteorological data of the city by adopting a mobile meteorological station to obtain a solar meteorological mean value; s6, calculating the urban greenbelt sporopollen sensitization risk value based on weather and population density according to the urban population density weighted value and the daily weather mean value; the invention solves the problem that the method for calculating the sensitization risk value of the urban greenbelt sporopollen in the prior art is lacked.
Description
Technical Field
The invention relates to a method for calculating a spore powder sensitization risk value, in particular to a method for calculating an urban green space spore powder sensitization risk value based on weather and population density.
Background
The health report of the world health organization 2016 indicates that the urban ecological environment is an important factor in determining public health. The urban green land is the region with the most concentrated urban species diversity and is the green carrier which is most directly acted by nature and human and forms a human living healthy space. The plants play a vital role in maintaining the ecological sustainability of urban development and building a livable urban space. Currently, in the current urban green land construction process, most attention is focused on the positive benefits of garden plants to cities, such as ornamental value, city air purification, microclimate regulation, city biological diversity maintenance and the like. The risks brought by vegetation selection to human health and even urban ecosystems in the process of urbanization, such as species invasion, capital construction damage, sporopollen (spores and pollen of plants) sensitization and the like, are ignored.
The spore powder allergy is mainly manifested by catarrhal inflammation of respiratory tract and conjunctiva, such as allergic rhinitis, allergic rash, bronchitis, asthma and the like, can be accompanied by pathological changes of skin and other organs, and seriously threatens human health. The data of the world health organization predicts that 35% of the world population will develop allergic reactions to sporopollen in the next 20 years. The incidence rate of sporopollen allergy in China is increased year by year, and the sporopollen allergy is a genuine epidemic disease. However, the urban greenbelt sporopollen sensitization risk assessment and prediction have not been carried out in China. Therefore, the evaluation of the spore allergy risk of urban green lands is imminent.
Disclosure of Invention
Aiming at the defects in the prior art, the method for calculating the sensitization risk value of the urban greenbelt spore powder based on weather and population density solves the problem that the method for calculating the sensitization risk value of the urban greenbelt spore powder is lacked in the prior art.
In order to achieve the purpose of the invention, the invention adopts the technical scheme that: a method for calculating an urban greenbelt sporopollen sensitization risk value based on weather and population density comprises the following steps:
s1, calculating the sensitization of each plant according to the plant characteristics of urban green land;
s2, calculating the pollen sensitization risk value of various greenbelts in the city according to the sensitization force of each plant;
s3, gridding distribution graphs of spore powder sensitization risk values of various greenbelts in the city, and drawing a map of spore powder sensitization risk weighted values of the greenbelts in the city;
s4, according to the population density of the urban street, based on the population density distribution map of the residential land of the central urban area, obtaining an urban population density weighted value;
s5, acquiring weather data of the city by adopting a mobile weather station according to the map of the sensitization risk weighted value of the spore powder of the green land of the city to obtain a solar weather mean value;
and S6, calculating the urban greenbelt sporopollen sensitization risk value based on weather and population density according to the urban population density weighted value and the daily weather mean value.
Further, the plant characteristics in step S1 include: spore powder sensitization capacity, pollination type and flowering time.
Further, step S1 comprises the following substeps:
s11, dividing the spore powder sensitization capability of the plants into 4 grades according to the diameter of the spore powder particles of the urban green land plants;
s12, assigning values of 0-3 to the sensitization capacity of 4 grades of sporopollen in sequence to obtain sporopollen with the particle diameter of the sporopollen of the plant larger than 200 microns, assigning the sensitization capacity of the sporopollen with the particle diameter of the sporopollen of the plant of 100-200 microns as 0, assigning the sensitization capacity of the sporopollen with the particle diameter of the sporopollen of the plant smaller than 20 microns or between 50-100 microns as 2, and assigning the sensitization capacity of the sporopollen with the particle diameter of the sporopollen of the plant between 20-50 microns as 3;
s13, assigning values to the pollination types by adopting values of 1-3 according to the pollination types of the urban green land plants to obtain the assignment value of the plants of the insect-borne pollination type as 1, the assignment value of the plants of the insect-borne and wind-borne pollination types as 2 and the assignment value of the plants of the wind-borne pollination type as 3;
s14, measuring the flowering time required by 5% of flowers of urban green land plants to 95% of flowers to wither, assigning the flowering time of 1-3 weeks to 1, assigning the flowering time of 4-6 weeks to 2, and assigning the flowering time of 7 weeks or more to 3;
and S15, calculating the sensitization force of each plant according to the assignment of the sensitization capability of the sporopollen, the assignment of the pollination type and the assignment of the flowering time.
Further, the formula of the sensitization power of each plant in step S15 is:
VPA＝tp·dpp·ap
wherein VPA is the sensitization power of each plant, tp is the assignment of pollination type, dpp is the assignment of flowering time, and ap is the assignment of spore powder sensitization power.
The beneficial effects of the above further scheme are: is beneficial to understanding the allergenicity of various plants in urban green land and provides a basis for the safety and scientificity of urban green land species selection.
Further, the formula for calculating the sporopollen sensitization risk value of each type of green land in the city in the step S2 is as follows:
wherein, I UGZA The spore powder sensitization risk value of various urban greenbelts, VPA is the sensitization power of each plant, S i Is the floor area of the i-th species, H i Height of species of type i, S T Is the area of a certain urban green land, I is the total species class, and max VPA is the maximum value of VPA in all plants of a certain urban green land.
The beneficial effects of the above further scheme are: the sensitization force of each plant in the green land is comprehensively considered, and superposition calculation is performed on the basis, so that the calculation of the sensitization risk of the green land is more comprehensive and scientific.
Further, step S3 comprises the following sub-steps:
s31, gridding distribution graphs of sporopollen sensitization risk values of various greenbelts in cities by adopting ArcGIS software to obtain average sporopollen sensitization risk values of unit grids in different seasons;
s32, dividing unit grids into low, medium and high sensitization risk levels according to the average sporopollen sensitization risk value;
s33, assigning a value of 1 to the unit grid corresponding to the low sensitization risk level, assigning a value of 2 to the unit grid corresponding to the medium sensitization risk level, and assigning a value of 3 to the unit grid corresponding to the high sensitization risk level;
s34, calculating the seasonal spore powder sensitization risk weighted value of the unit grid by adopting a Sudoku weighting method according to the assignment of the unit grid;
and S35, drawing an urban greenbelt spore powder sensitization risk weighted value map based on the seasonal spore powder sensitization risk weighted value of the unit grid.
The beneficial effects of the above further scheme are: in cities, sporopollen can move in short distance under the action of wind, so that the sporopollen sensitization risk between adjacent areas easily generates an interactive effect, and the interaction effect of peripheral grids on a core area can be comprehensively considered by adopting a Sudoku weighting method, so that the drawing of an urban greenbelt sporopollen sensitization risk map is more scientific.
Further, step S4 includes the following substeps:
s41, dividing the population density distribution map of the residential land of the central urban area into 5 levels of extremely high density, medium density, low density and extremely low density according to the population density of the urban streets;
s42, assigning the extremely high density region to be 5, assigning the high density region to be 4, assigning the medium density region to be 3, assigning the low density region to be 2, and assigning the extremely low density region to be 1 to obtain a population density distribution map of the residential land of the central urban area after grading assignment;
s43, meshing the population density distribution map of the residential land of the central urban area subjected to grading assignment by adopting ArcGIS software to obtain the average population density value of the unit grid;
and S44, obtaining a city population density weighted value according to the average population density value of the unit grid.
The beneficial effects of the above further scheme are: the urban greenbelt spore powder sensitization risk value is calculated to enable the plants to better serve users, if population density of a region where greenbelts are located is small, health loss caused by greenbelt spore powder sensitization risk is relatively small, and vice versa. Therefore, the urban population density weighted value is calculated, and the problem that different areas of the city can be exposed in a more targeted manner by calculating the urban greenbelt sensitization risk value can be solved.
Further, step S5 includes the following substeps:
s51, setting an urban mobile weather station according to an urban greenbelt sporopollen sensitization risk weighted value map;
s52, collecting air temperature data, relative humidity data, wind speed data, rainfall data and illumination intensity data through an urban mobile weather station;
s53, calculating the daily average value of the air temperature data, the relative humidity data, the wind speed data, the rainfall data and the illumination intensity data to obtain the daily weather average value of the 5 kinds of weather data.
The beneficial effects of the above further scheme are: air temperature data, relative humidity data, wind speed data, rainfall data and illumination intensity data in urban greenbelt all influence the production and the movement of greenbelt sporopollen, and the scheme is beneficial to estimating the production quantity and the movement track of the greenbelt sporopollen more scientifically.
Further, step S6 includes the following substeps:
s61, standardizing the weighted value of the population density of the city, the spore powder sensitization risk values of various greenbelts of the city and the daily meteorological mean value of 5 meteorological data to obtain 7 standardized data;
s62, calculating a component matrix of 7 kinds of standardized data by a KMO method and a Bartlett sphericity test method;
s63, calculating the eigenvalue of the component matrix to obtain the eigenvalue of 7 kinds of standardized data;
s64, calculating the square of the characteristic value of each standardized data to obtain the weight value of each standardized data;
s65, carrying out normalization processing on the weight value of each type of standardized data to enable the sum of the weight values of the 7 types of standardized data to be 1, and obtaining the normalized weight values of the 7 types of standardized data;
and S66, calculating the urban greenbelt spore powder sensitization risk value based on weather and population density according to the normalized weight values of the 7 kinds of standardized data.
Further, the formula for calculating the sensitization risk value of the urban greenswamp spore powder based on weather and population density in step S66 is as follows:
R UGZA ＝a 1 ·I UGZA +a 2 ·x 1 +a 3 ·x 2 +a 4 ·x 3 +a 5 ·x 4 +a 6 ·x 5 +a 7 ·x 6
wherein R is UGZA Is an urban greenswamp spore powder sensitization risk value based on weather and population density, a 1 、a 2 、a 3 、a 4 、a 5 、a 6 And a 7 Normalized weight values, x, for 7 normalized data 1 、x 2 、x 3 、x 4 、x 5 、x 6 The corresponding urban population density weighted value and the mean value of the solar weather of 5 kinds of weather data, I UGZA For various green areas of citiesPollen sensitization risk value.
The beneficial effects of the above further scheme are: the influence of main microclimate factors of urban greenbelts on the sensitization risk value of the greenbelts is fully considered, so that the calculation of the risk value is more scientific and comprehensive.
In conclusion, the beneficial effects of the invention are as follows: according to the method, the allergenicity of each plant is calculated, so that the spore powder allergenicity risk values of various greenbelts of a city are obtained through calculation, a city greenbelt spore powder allergenicity risk weighted value map is drawn, and then the city greenbelt spore powder allergenicity risk values based on weather and population density are obtained through calculation by combining the city population density weighted value and the weather data of the city.
Drawings
FIG. 1 is a flow chart of a method for calculating an urban greenswamp spore powder sensitization risk value based on weather and population density.
Detailed Description
The following description of the embodiments of the present invention is provided to facilitate the understanding of the present invention by those skilled in the art, but it should be understood that the present invention is not limited to the scope of the embodiments, and it will be apparent to those skilled in the art that various changes may be made without departing from the spirit and scope of the invention as defined and defined in the appended claims, and all matters produced by the invention using the inventive concept are protected.
As shown in fig. 1, a method for calculating an urban greenswamp spore powder sensitization risk value based on weather and population density comprises the following steps:
s1, calculating the allergenicity of each plant according to the plant characteristics of urban green lands;
the plant characteristics in step S1 include: spore powder sensitization capacity, pollination type and flowering time.
Step S1 includes the following substeps:
s11, dividing the spore powder sensitization capability of the plants into 4 grades according to the diameter of the spore powder particles of the urban green land plants;
s12, assigning values to the sensitization capacity of the sporopollen of 4 grades by adopting values of 0-3 in sequence to obtain a sporopollen with the sporopollen particle diameter larger than 200 microns of the plant, wherein the sensitization capacity is assigned to 0, the sensitization capacity is assigned to 1, the sensitization capacity is assigned to 2, and the sensitization capacity is assigned to 3, wherein the sporopollen particle diameter of the plant is smaller than 20 microns or is between 50 microns and 100 microns, and the sensitization capacity is assigned to 20-50 microns;
s13, assigning values to the pollination types by adopting values of 1-3 according to the pollination types of the urban green land plants to obtain the assignment value of the plants of the insect-borne pollination type as 1, the assignment value of the plants of the insect-borne and wind-borne pollination types as 2 and the assignment value of the plants of the wind-borne pollination type as 3;
s14, measuring the flowering time required by 5% of flowers of urban green land plants to 95% of flowers to wither, assigning the flowering time of 1-3 weeks to 1, assigning the flowering time of 4-6 weeks to 2, and assigning the flowering time of 7 weeks or more to 3;
and S15, calculating the sensitization force of each plant according to the assignment of the sensitization capability of the sporopollen, the assignment of the pollination type and the assignment of the flowering time.
The formula of the sensitization power of each plant in the step S15 is as follows:
VPA＝tp·dpp·ap
wherein VPA is the sensitization power of each plant, tp is the assignment of pollination type, dpp is the assignment of flowering time, and ap is the assignment of spore powder sensitization power.
S2, calculating the spore powder sensitization risk values of various urban greenbelts according to the sensitization force of each plant;
in the step S2, the formula for calculating the spore powder sensitization risk value of various greenbelts in the city is as follows:
wherein, I UGZA The spore powder sensitization risk value of various urban greenbelts, VPA is the sensitization power of each plant, S i Is the floor area of the i-th species, H i Height of species of type i, S T Is the area of a certain urban green land, I is the total species class, and max VPA is the maximum value of VPA in all plants of a certain urban green land.
S3, gridding distribution graphs of spore powder sensitization risk values of various greenbelts in the city, and drawing a map of spore powder sensitization risk weighted values of the greenbelts in the city;
step S3 comprises the following substeps:
s31, gridding distribution graphs of spore powder sensitization risk values of various greenbelts in cities by adopting ArcGIS software to obtain average spore powder sensitization risk values of unit grids in different seasons;
in the present embodiment, the size of the unit cell in step S31 is 500m × 500m.
S32, dividing unit grids into low, medium and high sensitization risk grades according to the average spore powder sensitization risk value;
s33, assigning a value of 1 to a unit grid corresponding to a low sensitization risk level, assigning a value of 2 to a unit grid corresponding to a medium sensitization risk level, and assigning a value of 3 to a unit grid corresponding to a high sensitization risk level;
s34, calculating the seasonal spore powder sensitization risk weighted value of the unit grid by adopting a Sudoku weighting method according to the assignment of the unit grid;
and S35, drawing an urban greenbelt spore powder sensitization risk weighted value map based on the seasonal spore powder sensitization risk weighted value of the unit grid.
S4, according to the population density of the urban street, based on the population density distribution map of the residential land of the central urban area, obtaining an urban population density weighted value;
step S4 includes the following substeps:
s41, dividing the population density distribution map of the residential land of the central urban area into 5 levels of extremely high density, medium density, low density and extremely low density according to the population density of the urban streets;
s42, assigning the extremely-high density area to be 5, assigning the high density area to be 4, assigning the medium density area to be 3, assigning the low density area to be 2, and assigning the extremely-low density area to be 1 to obtain a population density distribution map of the residential land of the central urban area after grading assignment;
s43, meshing the population density distribution map of the residential land of the central urban area subjected to grading assignment by adopting ArcGIS software to obtain the average population density value of the unit grid;
in the present embodiment, the size of the unit cell in step S43 is 500m × 500m.
And S44, obtaining an urban population density weighted value according to the average population density value of the unit grid.
S5, acquiring meteorological data of the city by adopting a mobile meteorological station according to the urban greenbelt spore powder sensitization risk weighted value map to obtain a solar meteorological mean value;
step S5 includes the following substeps:
s51, setting an urban mobile weather station according to an urban greenbelt sporopollen sensitization risk weighted value map;
s52, collecting air temperature data, relative humidity data, wind speed data, rainfall data and illumination intensity data through an urban mobile weather station;
in this embodiment, the urban mobile weather station in step S52 may collect the weather data in 24 hours every 2 days every month.
S53, calculating the daily average value of the air temperature data, the relative humidity data, the wind speed data, the rainfall data and the illumination intensity data to obtain the daily weather average value of the 5 kinds of weather data.
And S6, calculating the urban greenbelt sporopollen sensitization risk value based on weather and population density according to the urban population density weighted value and the daily weather mean value.
Step S6 includes the following substeps:
s61, standardizing the weighted value of the population density of the city, the spore powder sensitization risk values of various greenbelts of the city and the daily meteorological mean value of 5 meteorological data to obtain 7 standardized data;
s62, calculating a component matrix of 7 kinds of standardized data by a KMO method and a Bartlett sphericity test method;
s63, calculating the characteristic values of the component matrix to obtain the characteristic values of 7 kinds of standardized data;
s64, calculating the square of the characteristic value of each standardized data to obtain the weight value of each standardized data;
s65, carrying out normalization processing on the weight value of each type of standardized data to enable the sum of the weight values of the 7 types of standardized data to be 1, and obtaining the normalized weight values of the 7 types of standardized data;
and S66, calculating the urban greenbelt spore powder sensitization risk value based on weather and population density according to the normalized weight values of the 7 kinds of standardized data.
In the step S66, the formula for calculating the sensitization risk value of the urban greenbelt sporopollen based on weather and population density is as follows:
R UGZA ＝a 1 ·I UGZA +a 2 ·x 1 +a 3 ·x 2 +a 4 ·x 3 +a 5 ·x 4 +a 6 ·x 5 +a 7 ·x 6
wherein R is UGZA Is an urban greenswamp spore powder sensitization risk value based on weather and population density, a 1 、a 2 、a 3 、a 4 、a 5 、a 6 And a 7 Normalized weight values, x, for 7 normalized data 1 、x 2 、x 3 、x 4 、x 5 、x 6 The corresponding urban population density weighted value and the mean value of the solar weather of 5 kinds of weather data, I UGZA The method is the spore powder sensitization risk value of various urban greenbelts.
Claims (1)
1. A method for calculating an urban greenbelt sporopollen sensitization risk value based on weather and population density is characterized by comprising the following steps:
s1, calculating the allergenicity of each plant according to the plant characteristics of urban green lands; the plant characteristics in the step S1 comprise: pollen sensitization ability, pollination type and flowering time;
the step S1 comprises the following sub-steps:
s11, dividing the spore powder sensitization capability of the plants into 4 grades according to the diameter of the spore powder particles of the urban green land plants;
s12, assigning values of 0-3 to the sensitization capacity of 4 grades of sporopollen in sequence to obtain sporopollen with the particle diameter of the sporopollen of the plant larger than 200 microns, assigning the sensitization capacity of the sporopollen with the particle diameter of the sporopollen of the plant of 100-200 microns as 0, assigning the sensitization capacity of the sporopollen with the particle diameter of the sporopollen of the plant smaller than 20 microns or between 50-100 microns as 2, and assigning the sensitization capacity of the sporopollen with the particle diameter of the sporopollen of the plant between 20-50 microns as 3;
s13, assigning the pollination types by adopting values of 1-3 according to the pollination types of the urban green land plants to obtain the assignment value of the insect-borne pollination type plant as 1, the assignment values of the insect-borne and wind-borne pollination types plant as 2 and the assignment value of the wind-borne pollination type plant as 3;
s14, measuring the flowering time required by 5% of flowers of urban green land plants to 95% of flowers to wither, assigning the flowering time of 1-3 weeks to 1, assigning the flowering time of 4-6 weeks to 2, and assigning the flowering time of 7 weeks or more to 3;
s15, calculating the sensitization force of each plant according to the assignment of the sensitization capability of the sporopollen, the assignment of the pollination type and the assignment of the flowering time;
the formula of the sensitization power of each plant in the step S15 is as follows:
VPA＝tp·dpp·ao
wherein VPA is the sensitization power of each plant, tp is the assignment of pollination type, dpp is the assignment of flowering time, and ap is the assignment of spore powder sensitization capacity;
s2, calculating the spore powder sensitization risk values of various urban greenbelts according to the sensitization force of each plant;
the formula for calculating the spore powder sensitization risk value of various greenbelts in the city in the step S2 is as follows:
wherein, I UGZA Is the spore powder sensitization risk value of various urban greenbelts, VPA is the sensitization power of each plant,S i is the floor area of the i-th species, H i Height of species of type i, S T The area of a certain urban green land, I is the total species category, and max VPA is the maximum value of VPA in all plants of a certain urban green land;
s3, gridding distribution graphs of spore powder sensitization risk values of various greenbelts in the city, and drawing a map of spore powder sensitization risk weighted values of the greenbelts in the city;
the step S3 comprises the following sub-steps:
s31, gridding distribution graphs of sporopollen sensitization risk values of various greenbelts in cities by adopting ArcGIS software to obtain average sporopollen sensitization risk values of unit grids in different seasons;
s32, dividing unit grids into low, medium and high sensitization risk grades according to the average spore powder sensitization risk value;
s33, assigning a value of 1 to a unit grid corresponding to a low sensitization risk level, assigning a value of 2 to a unit grid corresponding to a medium sensitization risk level, and assigning a value of 3 to a unit grid corresponding to a high sensitization risk level;
s34, calculating the seasonal spore powder sensitization risk weighted value of the unit grid by adopting a Sudoku weighting method according to the assignment of the unit grid;
s35, drawing an urban greenbelt spore powder sensitization risk weighted value map based on the seasonal spore powder sensitization risk weighted value of the unit grid;
s4, according to the population density of the urban street, based on the population density distribution map of the residential land of the central urban area, obtaining an urban population density weighted value;
the step S4 comprises the following sub-steps:
s41, dividing the population density distribution map of the residential land of the central urban area into 5 levels of extremely high density, medium density, low density and extremely low density according to the population density of the urban streets;
s42, assigning the extremely-high density area to be 5, assigning the high density area to be 4, assigning the medium density area to be 3, assigning the low density area to be 2, and assigning the extremely-low density area to be 1 to obtain a population density distribution map of the residential land of the central urban area after grading assignment;
s43, meshing the population density distribution map of the residential land in the central urban area after grading assignment by adopting ArcGIS software to obtain an average population density value of a unit grid;
s44, obtaining a weighted value of the urban population density according to the average population density value of the unit grid;
s5, acquiring meteorological data of the city by adopting a mobile meteorological station according to the urban greenbelt spore powder sensitization risk weighted value map to obtain a solar meteorological mean value;
the step S5 comprises the following sub-steps:
s51, setting an urban mobile weather station according to an urban greenbelt sporopollen sensitization risk weighted value map;
s52, collecting air temperature data, relative humidity data, wind speed data, rainfall data and illumination intensity data through an urban mobile weather station;
s53, calculating the daily average value of the air temperature data, the relative humidity data, the wind speed data, the rainfall data and the illumination intensity data to obtain the daily weather average value of the 5 kinds of weather data;
s6, calculating the urban greenbelt sporopollen sensitization risk value based on weather and population density according to the urban population density weighted value and the daily weather mean value;
the step S6 comprises the following sub-steps:
s61, standardizing the weighted value of the population density of the city, the spore powder sensitization risk values of various greenbelts of the city and the daily meteorological mean value of 5 meteorological data to obtain 7 standardized data;
s62, calculating a component matrix of 7 kinds of standardized data by a KMO method and a Bartlett sphericity test method;
s63, calculating the characteristic values of the component matrix to obtain the characteristic values of 7 kinds of standardized data;
s64, calculating the square of the characteristic value of each standardized data to obtain the weight value of each standardized data;
s65, carrying out normalization processing on the weight value of each type of standardized data to enable the sum of the weight values of the 7 types of standardized data to be 1, and obtaining the normalized weight values of the 7 types of standardized data;
s66, calculating an urban greenbelt spore powder sensitization risk value based on weather and population density according to the normalized weight values of the 7 kinds of standardized data;
in the step S66, the formula for calculating the urban greenbelt sporopollen sensitization risk value based on weather and population density is as follows:
R UGZA ＝a 1 ·I UGZA +a 2 ·x 1 +a 3 ·x 2 +a 4 ·x 3 +a 5 ·x 4 +a 6 ·x 5 +a 7 ·x 6
wherein R is UGZA Is an urban greenswamp spore powder sensitization risk value based on weather and population density, a 1 、a 2 、a 3 、a 4 、a 5 、a 6 And a 7 Normalized weight values, x, for 7 normalized data 1 、x 2 、x 3 、x 4 、x 5 、x 6 The corresponding urban population density weighted value and the mean value of the solar weather of 5 kinds of weather data, I UGZA The method is the spore powder sensitization risk value of various urban greenbelts.
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