CN114280239A - 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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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 acquiring historical air quality parameter data of the target city and the comparison city and comparing the historical air quality parameter data with the historical air quality parameter data of the comparison city and the historical air quality parameter data of the target city and the comparison city. And then, the future meteorological situation prediction of the target city is obtained by combining the mode forecast. Therefore, the important direction and the important problem of the target city in the aspect of air quality are determined, 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 an air condition of a city.
Background
In recent years, with the rapid development of economy and the acceleration of urbanization process, the living standard of people is continuously improved, the requirement on the environmental quality is increasingly increased, and in order to create a beautiful and pleasant life and improve the blue-sky happiness of people, the nation also increasingly pays more attention to the continuous improvement of the urban environmental air quality, so that how to scientifically and effectively treat the atmospheric pollution and improve the air quality becomes one of the current social concerns.
In the related technology, the composite regional atmospheric pollution which is mainly characterized by various pollutants such as particulate matters, ozone and the like is influenced by various factors such as regional positions, weather conditions and the like, and the atmospheric pollution improvement difficulty and accuracy are increased, so that accurate, objective and timely comprehensive evaluation and analysis on 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 can not be accurately judged in the related technology.
According to an aspect of the embodiments of the present application, there is provided a method for determining urban air conditions, 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 city environment;
determining a difference factor parameter and an advantage factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter;
determining polluted weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameter, the dominant factor parameter and the weather factor parameter;
and determining the air condition of the target city according to the polluted 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: a PM10 parameter, a PM2.5 parameter, a nitrogen dioxide parameter, a sulfur dioxide parameter, a carbon monoxide parameter, and an ozone parameter.
Optionally, in another embodiment based on the foregoing method of the present application, after 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:
determining a predicted air quality parameter of the target city in each time period according to a preset weight concentration index;
and calculating the 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 based on the above method of the present application, the determining a difference factor parameter and a dominance factor parameter of the target city according to the parameter comparison between the target air quality parameter and the comparison air quality parameter includes:
comparing the factor parameters carried by the target air quality parameters with the factor parameters carried by the comparative air quality parameters one by one;
and taking the factor parameter with the size difference larger than a preset value as a gap factor parameter and an advantage factor parameter of the target city.
Optionally, in another embodiment based on the above method of the present application, the determining polluted weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameter, the dominance factor parameter, and the weather factor parameter includes:
and predicting results of the gap factor parameters and the dominance factor parameters by a multi-mode forecast early warning simulation technology to obtain polluted 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 polluted weather difference factor and the corresponding pollutant includes:
determining the polluted air condition of the target city in each time period according to the polluted weather difference factors and the corresponding pollutants;
and according to the polluted air condition of the target city in each time period, establishing pollution control measures for the target city.
According to another aspect of the embodiments of the present application, there is provided an apparatus for determining urban air conditions, comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is configured to acquire a target air quality parameter of a target city and a comparison air quality parameter of a comparison city in a historical time period, and the air quality parameter comprises a plurality of factor parameters for reflecting the air quality of the city environment;
a first determination module configured to determine a gap factor parameter and a dominance factor parameter of the target city according to a parameter comparison of the target air quality parameter and the comparison air quality parameter;
a second determination module configured to determine polluted weather difference factors and corresponding pollutants of the target city and the comparison city according to the gap factor parameter, the dominance factor parameter and the weather factor parameter;
a third determination module configured to determine an air condition of the target city based on the polluted weather difference factor and the corresponding pollutant.
According to another aspect of the embodiments of the present application, there is provided an electronic device including:
a memory for storing executable instructions;
a display for communicating with said memory to execute said executable instructions to perform the operations of any of the above described methods of determining a city air condition.
According to yet another aspect of the embodiments of the present application, there is provided a computer-readable storage medium for storing computer-readable instructions which, when executed, perform the operations of any one of the above-described methods for determining a city air condition.
According to the method and the device, 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 city environment; determining a difference factor parameter and an advantage factor parameter of a target city according to the target air quality parameter and the parameter comparison of the comparison air quality parameters; determining pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameter, the dominant factor parameter and the weather factor parameter; and determining the air condition of the target city according to the polluted 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 acquiring historical air quality parameter data of the target city and the comparison city and comparing the historical air quality parameter data with the historical air quality parameter data of the comparison city and the historical air quality parameter data of the target city and the comparison city. And then, the future meteorological situation prediction of the target city is obtained by combining the mode forecast. Therefore, the important direction and the important problem of the target city in the aspect of air quality are determined, and the air quality of the target city is improved.
The technical solution of the present application is further described in detail by 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 may 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 diagram of a target city air parameter factor as set forth in the present application;
FIG. 3 is a pollution display graph of air parameter factors between a target city and a comparison city according to the present application;
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, the numerical expressions, and numerical values set forth in these embodiments do not limit the scope of the present application unless specifically stated otherwise.
Meanwhile, it should be understood that the sizes of the respective portions shown in the drawings are not drawn in an actual proportional relationship for the convenience of description.
The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the application, its application, or uses.
Techniques, methods, and apparatus known to those 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 numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, further discussion thereof is not required in subsequent figures.
In addition, technical solutions between the various embodiments of the present application may be combined with each other, but it must be based on the realization of the technical solutions by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination of technical solutions should be considered to be absent and not within the protection scope of the present application.
It should be noted that all the directional indicators (such as upper, lower, left, right, front and rear … …) in the embodiment of the present application are only used to explain the relative position relationship between the components, the motion situation, etc. in a specific posture (as shown in the drawings), and if the specific posture is changed, the directional indicator is changed accordingly.
A method for performing a determination of a city air condition 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 scenarios are merely illustrated for the convenience of understanding the spirit and principles of the present application, and the embodiments of the present application are not limited 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 the urban air condition.
Fig. 1 schematically shows a flow diagram of a method for determining a city air condition 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 city environment.
S102, determining a difference factor parameter and an advantage factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter.
S103, determining polluted weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameter, the advantage factor parameter and the weather factor parameter.
And S104, determining the air condition of the target city according to the polluted weather difference factor and the corresponding pollutants.
In recent years, with the rapid development of economy and the acceleration of urbanization process, the living standard of people is continuously improved, the requirement on the environmental quality is increasingly increased, and in order to create a beautiful and pleasant life and improve the blue-sky happiness of people, the nation also increasingly pays more attention to the continuous improvement of the urban environmental air quality, so that how to scientifically and effectively treat the atmospheric pollution and improve the air quality becomes one of the current social concerns. The composite regional atmospheric 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 atmospheric pollution improvement difficulty and accuracy are increased, so that accurate, objective and timely comprehensive evaluation and analysis on the air quality improvement condition are particularly important.
At present, in order to complete regional ambient air quality improvement tasks, the air quality improvement targets of all the places are established by the national and provincial markets by referring to the air quality current situation, the industrial structure, the economic development level and other indexes of all the places by using an Air Pollution Index (API) and an ambient Air Quality Index (AQI) method. The existing ranking improving method only provides control strategies for six-parameter pollutants based on targets so as to control the total pollutant emission amount of the area, although the simple and feasible allocation method has certain rationality and can directly generate the effect of improving the air quality, the method has incomplete consideration factors on meteorological factors, city comparison ranking conditions and the like, is too strong in subjectivity and lacks of scientific bases, cannot explain the rationality and fairness of the targets, and cannot truly reflect the environment air quality improving conditions, so that the method is particularly key for scientifically and reasonably analyzing the air quality improving factors.
At present, a relatively systematic and effective quantification method is still lacked in the condition of determining the urban air condition, and factors such as six-parameter pollutant concentration, meteorological condition prediction and the like of a target city and a comparative urban environment are not comprehensively considered, so that a target city air quality ranking improvement method is scientifically formulated, and a scientific basis is provided for targeted and accurate strategy of relevant management units, and the method has important significance.
In one mode, the method aims to improve the pollution condition of a target city, compare the pollution condition with a comparison city and predict weather conditions, and combines air quality parameters to obtain the air quality condition which is required by the target city in different time periods, such as monthly, seasonal and annual average weight values, of the target city in the current year in monthly and quarterly according to the requirement of the target city on air standards. And a refined management and control measure can be formulated according to the difference factor parameter and the advantage factor parameter in combination with meteorological condition prediction, so that the air quality condition of the target city is determined.
Further, the method for determining the urban air condition provided by the application can comprise the following steps:
the method comprises the following steps: air quality parameters for the target city and the comparison city are collected over a historical period of time (e.g., the first three years). The air quality parameters at least comprise the following six basic indexes:
PM10 parameter, PM2.5 parameter, nitrogen dioxide parameter, sulfur dioxide parameter, carbon monoxide parameter, ozone parameter, etc.
Step two: determining the average value data of pollutants corresponding to each parameter and the contribution rate of the average value data to the whole year of the target city in the historical time period to obtain the monthly, seasonal and annual weight values based on the air quality parameters and the preset weight concentration indexes;
based on the air quality parameters and preset weight concentration indexes, determining average value data of pollutants corresponding to each parameter and contribution rate of the pollutants to the whole year of a comparison city in a historical time period to obtain monthly, seasonal and annual weight values;
and determining the pollutant concentration comparison of the target city and the average value of the comparison city in historical time periods (for example, in the last year or three years), thereby determining the predicted air quality parameter of the target city in each time period.
Step three: and determining the difference factor parameter and the advantage factor parameter of the target city according to the comparison of the concentration of the target city and the average value of the comparison city within one or three years. (determination by concentration contrast difference or comprehensive index ratio)
Step four: and (3) according to the multi-mode forecast early warning simulation calculation (namely weather factor parameters), obtaining weather differences between target cities and comparison cities of the year, month, week and day and pollutants mainly influenced by weather factors.
Step five: and according to the meteorological factors and the main pollutants, establishing the targeted control measures of the current year, month, week and day of the target city.
Step six: and continuously updating the urban air condition 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: and repeating the second step to the sixth step, and combining the prediction with the management and control of pollution sources according to actual conditions and weather situation, so that the target city achieves the purpose of improving the air quality and ranking.
According to the method and the device, 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 city environment; determining a difference factor parameter and an advantage factor parameter of a target city according to the target air quality parameter and the parameter comparison of the comparison air quality parameters; determining pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameter, the dominant factor parameter and the weather factor parameter; and determining the air condition of the target city according to the polluted 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 acquiring historical air quality parameter data of the target city and the comparison city and comparing the historical air quality parameter data with the historical air quality parameter data of the comparison city and the historical air quality parameter data of the target city and the comparison city. And then, the future meteorological situation prediction of the target city is obtained by combining the mode forecast. Therefore, the important direction and the important problem of the target city in the aspect of air quality are determined, 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: a PM10 parameter, a PM2.5 parameter, a nitrogen dioxide parameter, a sulfur dioxide parameter, a carbon monoxide parameter, and an ozone parameter.
Optionally, in another embodiment based on the foregoing method of the present application, after 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:
determining a predicted air quality parameter of the target city in each time period according to a preset weight concentration index;
and calculating the 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 based on the above method of the present application, the determining a difference factor parameter and a dominance factor parameter of the target city according to the parameter comparison between the target air quality parameter and the comparison air quality parameter includes:
comparing the factor parameters carried by the target air quality parameters with the factor parameters carried by the comparative air quality parameters one by one;
and taking the factor parameter with the size difference larger than a preset value as a gap factor parameter and an advantage factor parameter of the target city.
Optionally, in another embodiment based on the above method of the present application, the determining polluted weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameter, the dominance factor parameter, and the weather factor parameter includes:
and predicting results of the gap factor parameters and the dominance factor parameters by a multi-mode forecast early warning simulation technology to obtain polluted 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 polluted weather difference factor and the corresponding pollutant includes:
determining the polluted air condition of the target city in each time period according to the polluted weather difference factors and the corresponding pollutants;
and according to the polluted air condition of the target city in each time period, establishing pollution control measures for the target city.
In another mode, the method for determining the urban air condition provided by the application can include the following steps:
first, air quality parameters for the target city and the comparison city over a historical period of time (e.g., the first three years) may be collected. Wherein, the air quality parameter can include at least the following six basic indexes. Further, according to a preset weight concentration index, a predicted air quality parameter of the target city in each time period can be calculated by using the air quality parameter, specifically as follows:
for example, as shown in FIG. 2, for example, SO of target city in 20202The target was 20. mu.g/m 3, NO2The target was 38 μ g/m3, the CO (95 percent) target was 2.5mg/m3, the O3(90 percent) target was 190 μ g/m3, the PM2.5 target was 52 μ g/m3 and the PM10 target was 87 μ g/m3, giving monthly predicted concentrations for different factors for the target city.
Furthermore, the method 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 the target city and y is the comparison city.
It is understood that the correlation ratio is in the range of 0.91-0.98 (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 169 cities across the country as the target city, and the adjacent cities of the target city can be selected 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 by combining the average concentration of the historical time period.
For example, from the concentration contrast difference, the dominant factor city of the target city is PM10, the differenceFactor parameter is SO2、CO、NO2. From the comprehensive index ratio, the dominance factor parameters of the target city are PM2.5, PM10 and O3(FIG. 3). In summary, city a needs to maintain a continuous improvement of the factor PM10, and needs to increase the strength to reduce the concentrations of the factors SO2 and CO.
Furthermore, the pollutants mainly influenced by the weather difference and the weather factors 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 according to the multi-mode forecast early warning simulation technology (such as IAP ENSO EPS, CAS-ESM-C and the like) through comprehensive analysis and the like of the weather factors, the weather situation, the factor relevance and the like in the historical time period.
For example, for a year of 2 months, for example, the weather forecast for target statement A is as follows:
the city A predicts that the 2-month precipitation rate is higher than that of the same year in the last year, and the same year is basically leveled in the last 5 years;
the near-ground wind speed is basically equal to that of the last year and the last 5 years;
the height of the boundary layer is higher than that of the last year and the same period of 5 years;
the average temperature is basically equal to the same period of the last year and is lower than the same period of the last 5 years;
the relative humidity on the near ground is basically equal to that in the same period of the last year and is lower than that in the same period of the last 5 years.
From the above, the trend of the above various meteorological conditions is combined, and the comprehensive diffusion conditions of atmospheric particulates in city A in 2 months are expected to be basically equal to those in the same period of last year and near 5 years. That is, the atmospheric activity is low in month 2, the diffusion condition is poor, and the period of time (except 1 month) in which the particulate pollution is serious all year round is still available. Compared with the same period of the last year and the last 5 years, the comprehensive diffusion condition of the atmospheric particulate matters in the city A is basically kept level, the particulate pollution is still severe, and the adverse meteorological conditions can be effectively dealt with only by strengthening joint defense joint control while strengthening the control of local pollution sources.
Finally, the method and the system can also make a targeted control measure of the target city A in the current year according to the meteorological factors and the main pollutants. Taking city A in 2 months as an example, after the spring festival, gaseous pollutants and fine particulate matters around each site can be focused on, the management and control of industrial enterprises, combustion sources and mobile sources are focused on, the local pollution condition of city A is combined, fine management and control measures are made according to industries, counties, sites and streets aiming at gap factor transmission, and the measures are targeted, operable and performable, and the effectiveness of the measures is tracked.
According to the method and the device, 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 city environment; determining a difference factor parameter and an advantage factor parameter of a target city according to the target air quality parameter and the parameter comparison of the comparison air quality parameters; determining pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameter, the dominant factor parameter and the weather factor parameter; and determining the air condition of the target city according to the polluted 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 acquiring historical air quality parameter data of the target city and the comparison city and comparing the historical air quality parameter data with the historical air quality parameter data of the comparison city and the historical air quality parameter data of the target city and the comparison city. And then, the future meteorological situation prediction of the target city is obtained by combining the mode forecast. Therefore, the important direction and the important problem of the target city in the aspect of air quality are determined, 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 a device for determining the urban air condition. Which comprises the following steps:
the acquiring module 201 is configured to acquire 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 includes a plurality of factor parameters for reflecting the air quality of the city environment;
a first determining module 202 configured to determine a difference factor parameter and a dominance factor parameter of the target city according to a parameter comparison of the target air quality parameter and the comparison air quality parameter;
a second determining module 203, configured to determine polluted weather difference factors and corresponding pollutants of the target city and the comparison city according to the gap factor parameter, the dominance factor parameter and the weather factor parameter;
a third determining module 204 configured to determine an air condition of the target city based on the polluted weather difference factor and the corresponding pollutant.
According to the method and the device, 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 city environment; determining a difference factor parameter and an advantage factor parameter of a target city according to the target air quality parameter and the parameter comparison of the comparison air quality parameters; determining pollution weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameter, the dominant factor parameter and the weather factor parameter; and determining the air condition of the target city according to the polluted 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 acquiring historical air quality parameter data of the target city and the comparison city and comparing the historical air quality parameter data with the historical air quality parameter data of the comparison city and the historical air quality parameter data of the target city and the comparison city. And then, the future meteorological situation prediction of the target city is obtained by combining the mode forecast. Therefore, the important direction and the important problem of the target city in the aspect of air quality are determined, 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 including:
optionally, in another embodiment based on the above method of the present application, the air quality parameter includes: a PM10 parameter, a PM2.5 parameter, a nitrogen dioxide parameter, a sulfur dioxide parameter, a carbon monoxide parameter, and an ozone parameter.
In another embodiment of the present application, the obtaining module 201 is configured to perform the steps including:
in the historical time period, after acquiring the target air quality parameter of the target city and the comparison air quality parameter of the comparison city, the method further comprises the following steps:
determining a predicted air quality parameter of the target city in each time period according to a preset weight concentration index;
and calculating the 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 including:
the determining a difference factor parameter and an advantage 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 the factor parameters carried by the target air quality parameters with the factor parameters carried by the comparative air quality parameters one by one;
and taking the factor parameter with the size difference larger than a preset value as a gap factor parameter and an advantage factor parameter of the target city.
In another embodiment of the present application, the obtaining module 201 is configured to perform the steps including:
determining the polluted weather difference factors and the corresponding pollutants of the target city and the comparison city according to the difference factor parameter, the dominant factor parameter and the weather factor parameter, wherein the determining comprises the following steps:
and predicting results of the gap factor parameters and the dominance factor parameters by a multi-mode forecast early warning simulation technology to obtain polluted 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 including:
determining the air condition of the target city according to the polluted weather difference factor and the corresponding pollutants, wherein the determining comprises the following steps:
determining the polluted air condition of the target city in each time period according to the polluted weather difference factors and the corresponding pollutants;
and according to the polluted air condition of the target city in each time period, establishing pollution control measures for the target city.
Fig. 5 is a block diagram illustrating a logical structure of an electronic device in accordance with an exemplary embodiment. For example, the electronic device 300 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
In an exemplary embodiment, there is also provided a non-transitory computer readable storage medium, such as a memory, comprising instructions executable by an electronic device processor to perform the above 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 city environment; determining a difference factor parameter and an advantage factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter; determining polluted weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameter, the dominant factor parameter and the weather factor parameter; and determining the air condition of the target city according to the polluted weather difference factors and the corresponding pollutants. Optionally, the instructions may also be executable by a processor of the electronic device to perform other steps involved in the exemplary embodiments described above. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
In an exemplary embodiment, there is also provided an application/computer program product including one or more instructions executable by a processor of an electronic device to perform the above 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 city environment; determining a difference factor parameter and an advantage factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter; determining polluted weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameter, the dominant factor parameter and the weather factor parameter; and determining the air condition of the target city according to the polluted weather difference factors and the corresponding pollutants. Optionally, the instructions may also be executable by a processor of the electronic device to perform other steps involved in the exemplary embodiments described above.
Fig. 5 is an exemplary diagram of the computer device 30. Those skilled in the art will appreciate that the schematic diagram 5 is merely an example of the computer device 30 and does not constitute a limitation of the computer device 30 and may include more or less components than those shown, or combine certain components, or different components, e.g., the computer device 30 may also include input output devices, network access devices, buses, etc.
The Processor 302 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor may be a microprocessor or the processor 302 may be any conventional processor or the like, the processor 302 being the control center for the computer device 30 and connecting the various parts of the overall computer device 30 using various interfaces and lines.
The modules integrated by the computer device 30 may be stored in a computer-readable storage medium if they are implemented in the form of software functional modules and sold or used as separate products. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by the present application, and can also be realized by hardware related to computer readable instructions, which can be stored in a computer readable storage medium, and when the computer readable instructions are executed by a processor, the steps of the above described method embodiments can be realized.
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 invention 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 invention 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 will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.
Claims (9)
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 city environment;
determining a difference factor parameter and an advantage factor parameter of the target city according to the parameter comparison of the target air quality parameter and the comparison air quality parameter;
determining polluted weather difference factors and corresponding pollutants of the target city and the comparison city according to the difference factor parameter, the dominant factor parameter and the weather factor parameter;
and determining the air condition of the target city according to the polluted weather difference factors and the corresponding pollutants.
2. The method of claim 1, wherein the air quality parameter comprises: a PM10 parameter, a PM2.5 parameter, a nitrogen dioxide parameter, a sulfur dioxide parameter, a carbon monoxide parameter, and an ozone parameter.
3. The method of claim 1, wherein after obtaining the target air quality parameter for the target city and the comparative air quality parameter for the comparative city over the historical time period, further comprising:
determining a predicted air quality parameter of the target city in each time period according to a preset weight concentration index;
and calculating the 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 determining a difference factor parameter and a dominance factor parameter for the target city based on a parameter comparison of the target air quality parameter and the comparison air quality parameter comprises:
comparing the factor parameters carried by the target air quality parameters with the factor parameters carried by the comparative air quality parameters one by one;
and taking the factor parameter with the size difference larger than a preset value as a gap factor parameter and an advantage factor parameter of the target city.
5. The method of claim 1, wherein said determining a polluted weather difference factor and corresponding pollutants for said target city and said comparison city based on said difference factor parameter, dominance factor parameter, and weather factor parameter comprises:
and predicting results of the gap factor parameters and the dominance factor parameters by a multi-mode forecast early warning simulation technology to obtain polluted weather difference factors and corresponding pollutants of the target city and the comparison city in a future time period.
6. The method of claim 1, wherein said determining an air condition of said target city based on said polluted weather difference factor and corresponding pollutants comprises:
determining the polluted air condition of the target city in each time period according to the polluted weather difference factors and the corresponding pollutants;
and according to the polluted air condition of the target city in each time period, establishing pollution control measures for the target city.
7. An apparatus for determining the condition of urban air comprising:
the system comprises an acquisition module, a storage module and a processing module, wherein the acquisition module is configured to acquire a target air quality parameter of a target city and a comparison air quality parameter of a comparison city in a historical time period, and the air quality parameter comprises a plurality of factor parameters for reflecting the air quality of the city environment;
a first determination module configured to determine a gap factor parameter and a dominance factor parameter of the target city according to a parameter comparison of the target air quality parameter and the comparison air quality parameter;
a second determination module configured to determine polluted weather difference factors and corresponding pollutants of the target city and the comparison city according to the gap factor parameter, the dominance factor parameter and the weather factor parameter;
a third determination module configured to determine an air condition of the target city based on the polluted weather difference factor and the corresponding pollutant.
8. An electronic device, comprising:
a memory for storing executable instructions;
a processor for executing with the memory the executable instructions to perform the operations of the method of determining a city air condition of any one of claims 1-6.
9. A computer readable storage medium storing computer readable instructions which, when executed, perform the operations of the method of determining a city air condition of any one of claims 1-6.
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