CN114280239B - Method, device, electronic equipment and medium for determining urban air condition - Google Patents
Method, device, electronic equipment and medium for determining urban air condition Download PDFInfo
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- CN114280239B CN114280239B CN202111583132.8A CN202111583132A CN114280239B CN 114280239 B CN114280239 B CN 114280239B CN 202111583132 A CN202111583132 A CN 202111583132A CN 114280239 B CN114280239 B CN 114280239B
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Abstract
The application discloses a method, a device, electronic equipment and a medium for determining urban air conditions. By applying the technical scheme, the relevance ratio of the air parameters of the target city and the comparison city in each time period can be obtained by collecting the historical air quality parameter data of the target city and the comparison city and comparing the historical air quality parameter data of the target city and the comparison city. And combining the mode forecast to obtain the future meteorological situation forecast of the target city. Therefore, the key direction and the key problem of the target city in the air quality aspect are clearly realized, and the air quality of the target city is improved.
Description
Technical Field
The present application relates to data processing technologies, and in particular, to a method, an apparatus, an electronic device, and a medium for determining urban air conditions.
Background
In recent years, with the rapid development of economy and the acceleration of urban process, the living standard of people is continuously improved, the requirements on environmental quality are increasingly increased, and in order to create graceful life, the happiness of people in blue sky is improved, and the country is more and more paying attention to the continuous improvement of urban environmental air quality, so how to scientifically and effectively treat the atmospheric pollution and improve the air quality have become one of the current social concerns.
In the related art, the composite regional atmosphere pollution which takes various pollutants such as particulate matters, ozone and the like as characteristic pollutants is influenced by various factors such as regional positions, weather conditions and the like, and the difficulty and the accuracy of atmosphere pollution improvement are increased, so that the accurate, objective and timely comprehensive evaluation and analysis of the air quality improvement condition are particularly important.
Disclosure of Invention
The embodiment of the application provides a method, a device, electronic equipment and a medium for determining urban air conditions. The method is used for solving the problem that the air quality condition of the city cannot be accurately judged in the related art.
According to one aspect of the embodiment of the present application, a method for determining urban air conditions is provided, including:
acquiring a target air quality parameter of a target city and a comparison air quality parameter of a comparison city in a historical time period, wherein the air quality parameter comprises a plurality of factor parameters for reflecting the air quality of the urban environment;
determining a gap factor parameter and a dominance factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter;
determining pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameters and the dominance factor parameters;
and determining the air condition of the target city according to the pollution weather difference factors and the corresponding pollutants.
Optionally, in another embodiment based on the above method of the present application, the air quality parameter includes: PM10 parameters, PM2.5 parameters, nitrogen dioxide parameters, sulfur dioxide parameters, carbon monoxide parameters, and ozone parameters.
Optionally, in another embodiment based on the above method of the present application, after the acquiring the target air quality parameter of the target city and the comparative air quality parameter of the comparative city in the historical time period, the method further includes:
according to a preset weight concentration index, determining a predicted air quality parameter of the target city in each time period;
and calculating a correlation ratio of the predicted air quality parameter and the target air quality parameter, and determining the air condition of the target city according to the correlation ratio.
Optionally, in another embodiment of the method according to the present application, the determining the gap factor parameter and the dominance factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter includes:
comparing each factor parameter carried by the target air quality parameter with each factor parameter carried by the comparison air quality parameter one by one;
and taking the factor parameters with the magnitude difference larger than a preset value as the gap factor parameters and the dominance factor parameters of the target city.
Optionally, in another embodiment of the method according to the present application, the determining, according to the gap factor parameter and the dominance factor parameter, a pollution weather difference factor between the target city and the comparison city and a corresponding pollutant includes:
the gap factor parameter and the dominant factor parameter are pre-determined by a multi-mode forecasting and early warning simulation technology
And obtaining pollution weather difference factors and corresponding pollutants of the target city and the comparison city in a future time period according to the measurement result.
Optionally, in another embodiment based on the above method of the present application, the determining the air condition of the target city according to the pollution weather difference factor and the corresponding pollutants includes:
according to the pollution weather difference factors and the corresponding pollutants, determining the polluted air condition of the target city in each time period;
and according to the polluted air condition of the target city in each time period, setting pollution control measures for the target city.
According to still another aspect of the embodiments of the present application, there is provided an apparatus for determining urban air conditions, including:
the system comprises an acquisition module, a comparison module and a comparison module, wherein the acquisition module is configured to acquire target air quality parameters of a target city and comparison air quality parameters of a comparison city in a historical time period, and the air quality parameters comprise a plurality of factor parameters for reflecting the air quality of the environment of the city;
a first determining module configured to determine a gap factor parameter and a dominance factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter;
the second determining module is configured to determine pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the gap factor parameter and the dominance factor parameter;
and a third determining module configured to determine an air condition of the target city according to the pollution weather difference factor and the corresponding pollutants.
According to still another aspect of the embodiments of the present application, there is provided an electronic device including:
a memory for storing executable instructions;
and a display for executing the executable instructions with the memory to perform any of the above-described operations of the method of determining urban air conditions.
According to yet another aspect of embodiments of the present application, there is provided a computer-readable storage medium storing computer-readable instructions that, when executed, perform the operations of any of the above-described methods of determining urban air conditions.
In the application, the target air quality parameter of the target city and the comparison air quality parameter of the comparison city in the historical time period can be obtained, wherein the air quality parameter comprises a plurality of factor parameters for reflecting the air quality of the urban environment; determining a gap factor parameter and a dominance factor parameter of the target city according to the target air quality parameter and the parameter comparison of the comparison air quality parameter; determining pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the gap factor parameters and the dominance factor parameters; and determining the air condition of the target city according to the pollution weather difference factors and the corresponding pollutants. By applying the technical scheme, the relevance ratio of the air parameters of the target city and the comparison city in each time period can be obtained by collecting the historical air quality parameter data of the target city and the comparison city and comparing the historical air quality parameter data of the target city and the comparison city. And combining the mode forecast to obtain the future meteorological situation forecast of the target city. Therefore, the key direction and the key problem of the target city in the air quality aspect are clearly realized, and the air quality of the target city is improved.
The technical scheme of the present application is described in further detail below through the accompanying drawings and examples.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments of the application and, together with the description, serve to explain the principles of the application.
The present application will be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:
FIG. 1 is a schematic diagram of a method for determining urban air conditions according to the present application;
FIG. 2 is a pollution display view of a target city air parameter factor according to the present application;
FIG. 3 is a graph showing pollution of air parameter factors between a target city and a comparison city;
FIG. 4 is a schematic structural diagram of an electronic device for determining urban air conditions according to the present application;
fig. 5 is a schematic structural diagram of an electronic device for determining urban air conditions according to the present application.
Detailed Description
Various exemplary embodiments of the present application will now be described in detail with reference to the accompanying drawings. It should be noted that: the relative arrangement of the components and steps, numerical expressions and numerical values set forth in these embodiments do not limit the scope of the present application unless it is specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective parts shown in the drawings are not drawn in actual scale for convenience of description.
The following description of at least one exemplary embodiment is merely exemplary in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to one of ordinary skill in the relevant art may not be discussed in detail, but are intended to be part of the specification where appropriate.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further discussion thereof is necessary in subsequent figures.
In addition, the technical solutions of the embodiments of the present application may be combined with each other, but it is necessary to be based on the fact that those skilled in the art can implement the technical solutions, and when the technical solutions are contradictory or cannot be implemented, the combination of the technical solutions should be considered to be absent, and is not within the scope of protection claimed in the present application.
It should be noted that all directional indicators (such as up, down, left, right, front, and rear … …) in the embodiments of the present application are merely used to explain the relative positional relationship, movement conditions, and the like between the components in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indicator is correspondingly changed.
A method for performing a determination of urban air conditions according to an exemplary embodiment of the present application is described below in conjunction with fig. 1-3. It should be noted that the following application scenario is only shown for the convenience of understanding the spirit and principles of the present application, and embodiments of the present application are not limited in any way in this respect. Rather, embodiments of the present application may be applied to any scenario where applicable.
The application also provides a method, a device, electronic equipment and a medium for determining urban air conditions.
Fig. 1 schematically shows a flow diagram of a method of determining urban air conditions according to an embodiment of the present application. As shown in fig. 1, the method includes:
s101, acquiring a target air quality parameter of a target city and a comparison air quality parameter of a comparison city in a historical time period, wherein the air quality parameter comprises a plurality of factor parameters for reflecting the air quality of the urban environment.
S102, determining a gap factor parameter and a dominance factor parameter of the target city according to the target air quality parameter and the parameter comparison of the comparison air quality parameter.
S103, determining pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameters and the dominance factor parameters.
S104, determining the air condition of the target city according to the pollution weather difference factors and the corresponding pollutants.
In recent years, with the rapid development of economy and the acceleration of urban process, the living standard of people is continuously improved, the requirements on environmental quality are increasingly increased, and in order to create graceful life, the happiness of people in blue sky is improved, and the country is more and more paying attention to the continuous improvement of urban environmental air quality, so how to scientifically and effectively treat the atmospheric pollution and improve the air quality have become one of the current social concerns. The composite regional atmosphere pollution of the pollutants such as particles, ozone and the like is influenced by various factors such as regional positions, weather conditions and the like, and the difficulty and the accuracy of atmosphere pollution improvement are increased, so that the accurate, objective and timely comprehensive evaluation and analysis of the air quality improvement condition are particularly important.
Currently, in order to complete the task of improving regional environmental air quality, the national and provincial standards refer to the current situation of air quality, industrial structure, economic development level and other indexes of all places, and the air pollution index (AP I) and the environmental Air Quality Index (AQI) method are utilized to formulate the aim of improving the annual air quality of all places. The existing improved ranking method only puts forward a management and control countermeasure for six-parameter pollutants based on the target, so as to control the total pollutant emission amount of the region, and the cut and simple and easy distribution method has certain rationality and can directly produce the effect of improving the air quality, but the method has insufficient comprehensive consideration factors such as weather factors, urban comparison ranking conditions and the like, has strong subjectivity, lacks scientific basis, cannot explain the rationality and fairness of the target, and cannot truly reflect the environmental air quality improvement condition, so that scientific and reasonable analysis of the air quality improvement factor is particularly critical.
Currently, a set of comparatively systematic and effective quantification methods are still lacking in determining the condition of urban air conditions, and factors such as six-parameter pollutant concentration, meteorological condition prediction and the like of a target city and a comparison city environment are not comprehensively considered, so that a target urban air quality ranking improvement method is scientifically established, and a scientific basis is provided for targeted and accurate planning of related management units.
In one mode, the method aims at improving the pollution condition of the target city, comparing the pollution condition with the comparison city and predicting weather conditions, and obtaining the air quality condition to be achieved in the current year in each month and each quarter according to the air quality parameter and according to the air standard requirements of the target city. And fine management and control measures can be formulated according to the gap factor parameters and the dominance factor parameters and combined with meteorological condition prediction, so that the air quality condition of the target city can be determined.
Further, the method for determining urban air conditions provided by the application may include the following steps:
step one: air quality parameters of the target city and the comparison city are acquired during a historical period of time (e.g., the first three years). The air quality parameter at least comprises the following six basic indexes, specifically:
PM10 parameters, PM2.5 parameters, nitrogen dioxide parameters, sulfur dioxide parameters, carbon monoxide parameters, ozone parameters, and the like.
Step two: determining pollutant average value data corresponding to each parameter and contribution rate to the whole year of a target city in a historical time period based on air quality parameters and preset weight concentration indexes to obtain month, season and year weight values;
determining pollutant average value data corresponding to each parameter and contribution rate to the whole year in a historical time period of a comparison city based on air quality parameters and preset weight concentration indexes to obtain month, season and year weight values;
the target city is determined as compared to the mean contaminant concentration of the comparison city over the historical time period (e.g., over the last year or three years), thereby determining the predicted air quality parameter for the target city for each time period.
Step three: and determining the gap factor parameter and the dominance factor parameter of the target city according to the concentration comparison of the mean value of the target city and the comparison city in one year or three years. (determination by means of concentration contrast value or comprehensive index duty ratio)
Step four: and according to the multi-mode forecast, early warning and simulation calculation, obtaining the weather difference between the target city and the comparison city of the year, month, week and day and the pollutants mainly influenced by weather factors.
Step five: and (3) according to the meteorological factors and the main pollutants, making targeted management and control measures of the current year, month, week and day of the target city.
Step six: and continuously updating urban air conditions of the target city by using the continuously updated current-year real-time pollutant concentration and combining the pollutant concentration calculated in the second step as a predicted value.
Step seven: repeating the second step to the sixth step, and according to actual conditions and weather situation prediction, combining with pollution source management and control, so that the target city achieves the aim of improving air quality and ranking.
In the application, the target air quality parameter of the target city and the comparison air quality parameter of the comparison city in the historical time period can be obtained, wherein the air quality parameter comprises a plurality of factor parameters for reflecting the air quality of the urban environment; determining a gap factor parameter and a dominance factor parameter of the target city according to the target air quality parameter and the parameter comparison of the comparison air quality parameter; determining pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the gap factor parameters and the dominance factor parameters; and determining the air condition of the target city according to the pollution weather difference factors and the corresponding pollutants. By applying the technical scheme, the relevance ratio of the air parameters of the target city and the comparison city in each time period can be obtained by collecting the historical air quality parameter data of the target city and the comparison city and comparing the historical air quality parameter data of the target city and the comparison city. And combining the mode forecast to obtain the future meteorological situation forecast of the target city. Therefore, the key direction and the key problem of the target city in the air quality aspect are clearly realized, and the air quality of the target city is improved.
Optionally, in another embodiment based on the above method of the present application, the air quality parameter includes: PM10 parameters, PM2.5 parameters, nitrogen dioxide parameters, sulfur dioxide parameters, carbon monoxide parameters, and ozone parameters.
Optionally, in another embodiment based on the above method of the present application, after the acquiring the target air quality parameter of the target city and the comparative air quality parameter of the comparative city in the historical time period, the method further includes:
according to a preset weight concentration index, determining a predicted air quality parameter of the target city in each time period;
and calculating a correlation ratio of the predicted air quality parameter and the target air quality parameter, and determining the air condition of the target city according to the correlation ratio.
Optionally, in another embodiment of the method according to the present application, the determining the gap factor parameter and the dominance factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter includes:
comparing each factor parameter carried by the target air quality parameter with each factor parameter carried by the comparison air quality parameter one by one;
and taking the factor parameters with the magnitude difference larger than a preset value as the gap factor parameters and the dominance factor parameters of the target city.
Optionally, in another embodiment of the method according to the present application, the determining, according to the gap factor parameter and the dominance factor parameter, a pollution weather difference factor between the target city and the comparison city and a corresponding pollutant includes:
and predicting the gap factor parameter and the dominance factor parameter by a multi-mode prediction early warning simulation technology to obtain pollution weather difference factors and corresponding pollutants of the target city and the comparison city in a future time period.
Optionally, in another embodiment based on the above method of the present application, the determining the air condition of the target city according to the pollution weather difference factor and the corresponding pollutants includes:
according to the pollution weather difference factors and the corresponding pollutants, determining the polluted air condition of the target city in each time period;
and according to the polluted air condition of the target city in each time period, setting pollution control measures for the target city.
In another mode, the method for determining urban air conditions provided by the application may include the following steps:
first, air quality parameters for a target city and a comparison city over a historical period of time (e.g., the first three years) may be collected. Wherein, the air quality parameter can at least comprise the following six basic indexes. Further, according to a preset weight concentration index, the air quality parameter can be used to calculate the predicted air quality parameter of the target city in each time period, which is specifically as follows:
for example, as shown in FIG. 2, for example, the target city SO in 2020 2 Target 20. Mu.g/m 3, NO 2 The monthly predicted concentrations of different factors of the target city are obtained with a target of 38 mug/m 3, a CO (95 percent) target of 2.5mg/m3, an O3 (90 percent) target of 190 mug/m 3, a PM2.5 target of 52 mug/m 3 and a PM10 target of 87 mug/m 3.
Furthermore, the application can calculate the correlation ratio of the predicted air quality parameter and the target air quality parameter according to the following formula, and determine the air condition of the target city according to the correlation ratio.
Wherein x is a target city and y is a comparison city.
It will be appreciated that the correlation ratio is between 0.91 and 0.98 (the closer the correlation coefficient is to 1, the better the correlation is indicated).
In addition, in the process of selecting the target city A and the comparison city B, one city can be randomly selected from the 169 cities in the whole country to serve as the target city, and the adjacent cities of the target city can be selected to serve as the comparison city.
Further, as shown in fig. 3, the present application may obtain the predicted concentration of the comparison city according to the above analysis method, and determine the gap factor parameter in combination with the average concentration of the historical time period.
For example, from the concentration contrast difference, the dominance factor city of the target city is PM10, and the gap factor parameter is SO 2 、CO、NO 2 . From the comprehensive index duty ratio, the dominance factor parameters of the target city are PM2.5, PM10 and O 3 (FIG. 3). In combination, city A needs to maintain continuous improvement of PM10 factors, and needs to increase strength to reduce concentration of SO2 and CO factors.
Furthermore, the pollutant mainly influenced by the weather difference and the weather factor of the target city A and the comparison city B in the future month, the future week and the future three days can be obtained through comprehensive analysis of weather elements, weather conditions, factor relevance and the like in the historical time period according to the multi-mode forecasting and early warning simulation technology (such as IAP ENSO EPS, CAS-ESM-C and the like).
For example, for a month 2 of a year, the weather forecast for the target city a is as follows:
the precipitation rate of the city A is expected to be higher in 2 months compared with the same period of the last year, and the same period of the last 5 years is basically equal;
the near-ground wind speed is basically equal to the same period of the last year and the last 5 years;
the boundary layer height is higher than the last year and the last 5 years;
the average air temperature is basically equal to that in the last year and is lower than that in the last 5 years;
the near-surface relative humidity is substantially the same as the last year and is lower than the last 5 years.
From the above, the comprehensive diffusion condition of the atmospheric particulates in city a is expected to be substantially equal to the same period of the last year and the last 5 years by combining the variation trend of the above various meteorological conditions. That is, 2 months have low atmospheric activity and poor diffusion conditions, and still (except 1 month) the particulate matter is heavily contaminated throughout the year. The comprehensive diffusion condition of the atmospheric particulates in the city A is basically equal to that of the same period of the last year and the last 5 years, the particulate pollution is still more serious, and the adverse meteorological conditions can be effectively responded only by strengthening joint defense joint control while strengthening local pollution source control.
Finally, the application can also formulate targeted management and control measures of the target city A in the current year according to the meteorological factors and the main pollutants. Taking city A for 2 months as an example, after spring festival, the surrounding gaseous pollutants and fine particles of each station can be focused, the management and control of industrial enterprises, combustion sources and mobile sources can be focused, and aiming at gap factor transmission and according to industries, counties, stations and streets, fine management and control measures are formulated, so that the measures have pertinence, operability and executability, and meanwhile, the effectiveness of the measures is tracked.
In the application, the target air quality parameter of the target city and the comparison air quality parameter of the comparison city in the historical time period can be obtained, wherein the air quality parameter comprises a plurality of factor parameters for reflecting the air quality of the urban environment; determining a gap factor parameter and a dominance factor parameter of the target city according to the target air quality parameter and the parameter comparison of the comparison air quality parameter; determining pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the gap factor parameters and the dominance factor parameters; and determining the air condition of the target city according to the pollution weather difference factors and the corresponding pollutants. By applying the technical scheme, the relevance ratio of the air parameters of the target city and the comparison city in each time period can be obtained by collecting the historical air quality parameter data of the target city and the comparison city and comparing the historical air quality parameter data of the target city and the comparison city. And combining the mode forecast to obtain the future meteorological situation forecast of the target city. Therefore, the key direction and the key problem of the target city in the air quality aspect are clearly realized, and the air quality of the target city is improved.
Optionally, in another embodiment of the present application, as shown in fig. 4, the present application further provides an apparatus for determining urban air conditions. The method comprises the following steps:
an obtaining module 201, configured to obtain, in a historical period, a target air quality parameter of a target city and a comparison air quality parameter of a comparison city, where the air quality parameter includes a plurality of factor parameters for reflecting air quality of an environment of the city;
a first determining module 202 configured to determine a gap factor parameter and a dominance factor parameter for the target city based on the parameter comparison of the target air quality parameter and the comparison air quality parameter;
a second determining module 203 configured to determine a pollution weather difference factor and a corresponding pollutant of the target city and the comparison city according to the gap factor parameter and the dominance factor parameter;
a third determination module 204 is configured to determine an air condition of the target city based on the pollution weather difference factor and the corresponding pollutants.
In the application, the target air quality parameter of the target city and the comparison air quality parameter of the comparison city in the historical time period can be obtained, wherein the air quality parameter comprises a plurality of factor parameters for reflecting the air quality of the urban environment; determining a gap factor parameter and a dominance factor parameter of the target city according to the target air quality parameter and the parameter comparison of the comparison air quality parameter; determining pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the gap factor parameters and the dominance factor parameters; and determining the air condition of the target city according to the pollution weather difference factors and the corresponding pollutants. By applying the technical scheme, the relevance ratio of the air parameters of the target city and the comparison city in each time period can be obtained by collecting the historical air quality parameter data of the target city and the comparison city and comparing the historical air quality parameter data of the target city and the comparison city. And combining the mode forecast to obtain the future meteorological situation forecast of the target city. Therefore, the key direction and the key problem of the target city in the air quality aspect are clearly realized, and the air quality of the target city is improved.
In another embodiment of the present application, the obtaining module 201 is configured to perform the steps comprising:
optionally, in another embodiment based on the above method of the present application, the air quality parameter includes: PM10 parameters, PM2.5 parameters, nitrogen dioxide parameters, sulfur dioxide parameters, carbon monoxide parameters, and ozone parameters.
In another embodiment of the present application, the obtaining module 201 is configured to perform the steps comprising:
after the acquiring the target air quality parameter of the target city and the comparison air quality parameter of the comparison city in the historical time period, the method further comprises the following steps:
according to a preset weight concentration index, determining a predicted air quality parameter of the target city in each time period;
and calculating a correlation ratio of the predicted air quality parameter and the target air quality parameter, and determining the air condition of the target city according to the correlation ratio.
In another embodiment of the present application, the obtaining module 201 is configured to perform the steps comprising:
the determining the gap factor parameter and the dominance factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter comprises the following steps:
comparing each factor parameter carried by the target air quality parameter with each factor parameter carried by the comparison air quality parameter one by one;
and taking the factor parameters with the magnitude difference larger than a preset value as the gap factor parameters and the dominance factor parameters of the target city.
In another embodiment of the present application, the obtaining module 201 is configured to perform the steps comprising:
determining the pollution weather difference factors and the corresponding pollutants of the target city and the comparison city according to the difference factor parameters and the dominance factor parameters, wherein the determining comprises the following steps:
and predicting the gap factor parameter and the dominance factor parameter by a multi-mode prediction early warning simulation technology to obtain pollution weather difference factors and corresponding pollutants of the target city and the comparison city in a future time period.
In another embodiment of the present application, the obtaining module 201 is configured to perform the steps comprising:
the determining the air condition of the target city according to the pollution weather difference factors and the corresponding pollutants comprises the following steps:
according to the pollution weather difference factors and the corresponding pollutants, determining the polluted air condition of the target city in each time period;
and according to the polluted air condition of the target city in each time period, setting pollution control measures for the target city.
Fig. 5 is a block diagram of a logical structure of an electronic device, according to an example embodiment. For example, electronic device 300 may be a mobile phone, computer, digital broadcast terminal, messaging device, game console, tablet device, medical device, exercise device, personal digital assistant, or the like.
In an exemplary embodiment, there is also provided a non-transitory computer readable storage medium including instructions, such as a memory including instructions, executable by an electronic device processor to perform the above-described method of determining a city air condition, the method comprising: acquiring a target air quality parameter of a target city and a comparison air quality parameter of a comparison city in a historical time period, wherein the air quality parameter comprises a plurality of factor parameters for reflecting the air quality of the urban environment; determining a gap factor parameter and a dominance factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter; determining pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameters and the dominance factor parameters; and determining the air condition of the target city according to the pollution weather difference factors and the corresponding pollutants. Optionally, the above instructions may also be executed by a processor of the electronic device to perform the other steps involved in the above-described exemplary embodiments. For example, the non-transitory computer readable storage medium may be ROM, random Access Memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
In an exemplary embodiment, there is also provided an application/computer program product comprising one or more instructions executable by a processor of an electronic device to perform the above-described method of determining urban air conditions, the method comprising: acquiring a target air quality parameter of a target city and a comparison air quality parameter of a comparison city in a historical time period, wherein the air quality parameter comprises a plurality of factor parameters for reflecting the air quality of the urban environment; determining a gap factor parameter and a dominance factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter; determining pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameters and the dominance factor parameters; and determining the air condition of the target city according to the pollution weather difference factors and the corresponding pollutants. Optionally, the above instructions may also be executed by a processor of the electronic device to perform the other steps involved in the above-described exemplary embodiments.
Fig. 5 is an exemplary diagram of a computer device 30. It will be appreciated by those skilled in the art that the schematic diagram 5 is merely an example of the computer device 30 and is not meant to be limiting of the computer device 30, and may include more or fewer components than shown, or may combine certain components, or different components, e.g., the computer device 30 may also include input and output devices, network access devices, buses, etc.
The processor 302 may be a central processing unit (Centra l Process I ng Un it, CPU), but may also be other general purpose processors, digital signal processors (Di gita l S I gna l Processor, DSP), application specific integrated circuits (App l I cat I on Spec I f I C I ntegrated Ci rcu it, AS ic), field programmable gate arrays (Fi e l d-Programmab l e Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor 302 may be any conventional processor or the like, the processor 302 being a control center of the computer device 30, with various interfaces and lines connecting the various parts of the entire computer device 30.
The memory 301 may be used to store computer readable instructions 303 and the processor 302 implements the various functions of the computer device 30 by executing or executing computer readable instructions or modules stored in the memory 301 and invoking data stored in the memory 301. The memory 301 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program (such as a sound playing function, an image playing function, etc.) required for at least one function, and the like; the storage data area may store data created according to the use of the computer device 30, or the like. In addition, the Memory 301 may include a hard disk, memory, a plug-in hard disk, a smart Memory Card (Smart Med i a Card, SMC), a secure digital (Secure Di gi ta l, SD) Card, a flash Memory Card (F l ash Card), at least one magnetic disk storage device, a flash Memory device, a Read-On-y Memory (ROM), a random access Memory (Random Access Memory, RAM), or other non-volatile/volatile storage device.
The modules integrated by the computer device 30 may be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product. Based on such understanding, the present application implements all or part of the flow of the method of the above-described embodiments, and may also be implemented by means of computer readable instructions to instruct related hardware, where the computer readable instructions may be stored in a computer readable storage medium, where the computer readable instructions, when executed by a processor, implement the steps of the method embodiments described above.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the application following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the application pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
It is to be understood that the present application is not limited to the precise arrangements and instrumentalities shown in the drawings, which have been described above, and that various modifications and changes may be effected without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (7)
1. A method of determining urban air conditions, comprising:
acquiring a target air quality parameter of a target city and a comparison air quality parameter of a comparison city in a historical time period, wherein the air quality parameter comprises a plurality of factor parameters for reflecting the air quality of the urban environment;
determining a gap factor parameter and a dominance factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter;
determining pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameters and the dominance factor parameters; determining the air condition of the target city according to the pollution weather difference factors and the corresponding pollutants;
wherein, the determining the gap factor parameter and the dominance factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter comprises:
comparing each factor parameter carried by the target air quality parameter with each factor parameter carried by the comparison air quality parameter one by one;
taking factor parameters with the magnitude difference larger than a preset value as difference factor parameters and dominance factor parameters of the target city;
the determining, according to the gap factor parameter and the dominance factor parameter, a pollution weather difference factor and a corresponding pollutant of the target city and the comparison city includes:
and predicting the gap factor parameter and the dominance factor parameter by a multi-mode prediction early warning simulation technology to obtain pollution weather difference factors and corresponding pollutants of the target city and the comparison city in a future time period.
2. The method of claim 1, wherein the air quality parameter comprises: PM10 parameters, PM2.5 parameters, nitrogen dioxide parameters, sulfur dioxide parameters, carbon monoxide parameters, and ozone parameters.
3. The method of claim 1, further comprising, after the obtaining the target air quality parameter for the target city and the comparative air quality parameter for the comparative city for the historical period of time:
according to a preset weight concentration index, determining a predicted air quality parameter of the target city in each time period;
and calculating a correlation ratio of the predicted air quality parameter and the target air quality parameter, and determining the air condition of the target city according to the correlation ratio.
4. The method of claim 1, wherein said determining the air condition of the target city based on the pollution weather difference factor and the corresponding pollutants comprises:
according to the pollution weather difference factors and the corresponding pollutants, determining the polluted air condition of the target city in each time period;
and according to the polluted air condition of the target city in each time period, setting pollution control measures for the target city.
5. An apparatus for determining urban air conditions, comprising:
the system comprises an acquisition module, a comparison module and a comparison module, wherein the acquisition module is configured to acquire target air quality parameters of a target city and comparison air quality parameters of a comparison city in a historical time period, and the air quality parameters comprise a plurality of factor parameters for reflecting the air quality of the environment of the city;
a first determining module configured to determine a gap factor parameter and a dominance factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter;
the second determining module is configured to determine pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the gap factor parameter and the dominance factor parameter;
a third determining module configured to determine an air condition of the target city according to the pollution weather difference factor and the corresponding pollutants;
wherein, the determining the gap factor parameter and the dominance factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter comprises:
comparing each factor parameter carried by the target air quality parameter with each factor parameter carried by the comparison air quality parameter one by one;
taking factor parameters with the magnitude difference larger than a preset value as difference factor parameters and dominance factor parameters of the target city;
the determining, according to the gap factor parameter and the dominance factor parameter, a pollution weather difference factor and a corresponding pollutant of the target city and the comparison city includes:
and predicting the gap factor parameter and the dominance factor parameter by a multi-mode prediction early warning simulation technology to obtain pollution weather difference factors and corresponding pollutants of the target city and the comparison city in a future time period.
6. An electronic device, comprising:
a memory for storing executable instructions;
a processor for executing the executable instructions with the memory to perform the operations of the method of determining urban air conditions of any of claims 1-4.
7. A computer readable storage medium storing computer readable instructions which, when executed, perform the operations of the method of determining urban air conditions of any of claims 1-4.
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