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 allergenicity of each plant according to the plant characteristics of the urban green land;
s2, calculating the spore powder sensitization risk value of various urban greenbelts according to the sensitization force of each plant;
s3, gridding the distribution map of the spore powder sensitization risk values of various greenbelts in the city, and drawing a map of the spore powder sensitization risk weighted value of the greenbelts in the city;
s4, obtaining an urban population density weighted value based on the central urban residential land population density distribution map according to the population density of urban streets;
s5, collecting urban meteorological data by a mobile meteorological station according to the urban greenbelt spore powder sensitization risk weighted value map to obtain a solar meteorological 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 includes the following substeps:
s11, dividing the spore powder sensitization capability of the plants into 4 grades according to the spore powder particle diameter 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 sporopollen particle diameter larger than 200 microns, wherein the sensitization capacity is assigned to be 0, the sensitization capacity is assigned to be 1, the sensitization capacity is assigned to be 2, the sporopollen particle diameter is smaller than 20 microns or is 50-100 microns, and the sensitization capacity is assigned to be 3, wherein the sporopollen particle diameter is 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 media pollination type as 1, the assignment values of the plants of the insect media pollination and wind media pollination types as 2 and the assignment values of the plants of the wind media pollination types 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: the method is beneficial to understanding the allergenicity of various plants in the urban green land, and provides a basis for the safety and scientificity of urban green land species selection.
Further, the formula for calculating the spore powder sensitization risk value of various greenbelts in the city in step S2 is as follows:
wherein, IUGZAThe spore powder sensitization risk value of various urban greenbelts, VPA is the sensitization power of each plant, SiIs the floor area of the i-th species, HiHeight of species of type i, STIs 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 carried out on the basis, so that the calculation of the sensitization risk of the green land is more comprehensive and scientific.
Further, step S3 includes the following substeps:
s31, adopting ArcGIS software to perform gridding processing on the distribution diagram of the spore powder sensitization risk values of various greenbelts in the city to obtain the average spore powder sensitization risk value 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 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 for a 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 in 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 the 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 after grading assignment by adopting ArcGIS software to obtain the average population density value of the unit grid;
and S44, obtaining the weighted value of the urban population density 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 the users, and if the population density of the area where the greenbelt is 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 the 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 the urban mobile weather station;
and 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 greenbelts influence the generation and movement of the greenbelt sporopollen, and the scheme is beneficial to more scientifically estimating the generation amount and the movement track of the greenbelt sporopollen.
Further, step S6 includes the following substeps:
s61, standardizing the urban population density weighted value, the spore powder sensitization risk value of various urban greenbelts and the solar 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 kind of standardized data to enable the sum of the weight values of the 7 kinds of standardized data to be 1, and obtaining the normalized weight values of the 7 kinds of standardized data;
and S66, calculating the sensitization risk value of the urban greenbelt spore powder 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:
RUGZA=a1·IUGZA+a2·x1+a3·x2+a4·x3+a5·x4+a6·x5+a7·x6
wherein R isUGZAIs an urban greenswamp spore powder sensitization risk value based on weather and population density, a1、a2、 a3、a4、a5、a6And a7Normalized weight values, x, for 7 normalized data1、x2、x3、x4、x5、 x6The corresponding urban population density weighted value and the mean value of the solar weather of 5 kinds of weather data, IUGZAThe spore powder sensitization risk value of various greenbelts in cities.
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: the method calculates the sensitization power of each plant, further calculates to obtain the spore powder sensitization risk values of various greenbelts in the city, draws a map of the spore powder sensitization risk weighted values of the greenbelts in the city, and then calculates to obtain the spore powder sensitization risk values of the greenbelts in the city based on weather and population density by combining the urban population density weighted value and the weather data of the city.
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 the urban green land;
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 spore powder particle diameter 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 sporopollen particle diameter larger than 200 microns, wherein the sensitization capacity is assigned to be 0, the sensitization capacity is assigned to be 1, the sensitization capacity is assigned to be 2, the sporopollen particle diameter is smaller than 20 microns or is 50-100 microns, and the sensitization capacity is assigned to be 3, wherein the sporopollen particle diameter is 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 media pollination type as 1, the assignment values of the plants of the insect media pollination and wind media pollination types as 2 and the assignment values of the plants of the wind media pollination types 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 value of various urban greenbelts according to the sensitization force of each plant;
in step S2, the formula for calculating the spore powder sensitization risk value of various greenbelts in the city is:
wherein, IUGZAThe spore powder sensitization risk value of various urban greenbelts, VPA is the sensitization power of each plant, SiIs the floor area of the i-th species, HiHeight of species of type i, STIs 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 the distribution map of the spore powder sensitization risk values of various greenbelts in the city, and drawing a map of the spore powder sensitization risk weighted value of the greenbelts in the city;
step S3 includes the following substeps:
s31, adopting ArcGIS software to perform gridding processing on the distribution diagram of the spore powder sensitization risk values of various greenbelts in the city to obtain the average spore powder sensitization risk value of unit grids in different seasons;
in the present embodiment, the size of the unit cell in step S31 is 500m × 500 m.
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 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.
S4, obtaining an urban population density weighted value based on the central urban residential land population density distribution map according to the population density of urban streets;
step S4 includes the following substeps:
s41, dividing the population density distribution map of the residential land in 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 the 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 after 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 × 500 m.
And S44, obtaining the weighted value of the urban population density according to the average population density value of the unit grid.
S5, collecting urban meteorological data by 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 the 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 the urban mobile weather station;
in this embodiment, the urban mobile weather station in step S52 may collect weather data in 24 hours per 2 days per month.
And 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 urban population density weighted value, the spore powder sensitization risk value of various urban greenbelts and the solar 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 kind of standardized data to enable the sum of the weight values of the 7 kinds of standardized data to be 1, and obtaining the normalized weight values of the 7 kinds of standardized data;
and S66, calculating the sensitization risk value of the urban greenbelt spore powder based on weather and population density according to the normalized weight values of the 7 kinds of standardized data.
In step S66, the formula for calculating the sensitization risk value of the urban greenbelt spore powder based on weather and population density is as follows:
RUGZA=a1·IUGZA+a2·x1+a3·x2+a4·x3+a5·x4+a6·x5+a7·x6
wherein R isUGZAIs an urban greenswamp spore powder sensitization risk value based on weather and population density, a1、a2、 a3、a4、a5、a6And a7Normalized weight values, x, for 7 normalized data1、x2、x3、x4、x5、 x6The corresponding urban population density weighted value and the mean value of the solar weather of 5 kinds of weather data, IUGZAThe spore powder sensitization risk value of various greenbelts in cities.