CN114819781A - Environment capacity calculation method and device, computer equipment and storage medium - Google Patents
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Abstract
The application discloses an environmental capacity calculation method, an environmental capacity calculation device, computer equipment and a storage medium, which are applied to the technical field of meteorological science and used for improving the efficiency of calculating environmental capacity in an emission reduction scene. The method provided by the application comprises the following steps: acquiring air simulation data, constructing an air quality simulation model based on a pre-training model, and inputting the air simulation data into the air quality simulation model to obtain an emission concentration simulation value; acquiring a discharge control factor, and generating a discharge control matrix based on the discharge concentration analog value and the discharge control factor; acquiring air quality target data, and obtaining at least one pollutant emission strategy corresponding to the air quality target data according to an emission proportion coefficient based on the emission control matrix, wherein each pollutant emission strategy comprises a corresponding relation between pollutant emission amount and emission concentration; and calculating the environment capacity according to the pollutant discharge amount based on the pollutant discharge strategy.
Description
Technical Field
The application relates to the technical field of meteorological science, in particular to an environmental capacity calculation method and device, computer equipment and a storage medium.
Background
With the continuous acceleration of the industrialization process, the problem of air pollution which is characterized by compound pollution is formed, and in order to make the air quality reach the standard, corresponding standard reaching time, a pollutant emission reduction target and environment capacity are established.
The existing method obtains the total emission amount of each pollutant in a corresponding scene by drawing up a plurality of emission reduction scenes and simulating the air quality based on the emission reduction scenes, and finally determines the environmental capacity according to the maximum value of the total emission amount of all pollutants.
The environmental capacity refers to the capacity of a certain area to bear the emission of pollutants under the condition of meeting the air quality standard value or the atmospheric environment target value.
Under the condition that various pollutants exist, various emission reduction scenes need to be simulated, the calculation amount of the environmental capacity is huge, and the calculation efficiency is not high.
Disclosure of Invention
The application provides an environment capacity calculation method, an environment capacity calculation device, computer equipment and a storage medium, and the efficiency of calculating the environment capacity is improved.
An environmental capacity calculation method, comprising:
acquiring air simulation data, constructing an air quality simulation model based on a pre-training model, and inputting the air simulation data into the air quality simulation model to obtain an emission concentration simulation value;
acquiring a discharge control factor, and generating a discharge control matrix based on the discharge concentration analog value and the discharge control factor;
acquiring air quality target data, and obtaining at least one pollutant emission strategy corresponding to the air quality target data according to an emission proportion coefficient based on the emission control matrix, wherein each pollutant emission strategy comprises a corresponding relation between pollutant emission amount and emission concentration;
and calculating the environment capacity according to the pollutant discharge amount based on the pollutant discharge strategy.
An environmental capacity computing device, comprising:
the simulation value generation module is used for acquiring air simulation data, constructing an air quality simulation model based on a pre-training model, and inputting the air simulation data into the air quality simulation model to obtain an emission concentration simulation value;
the emission control matrix generation module is used for acquiring emission control factors and generating an emission control matrix based on the emission concentration analog value and the emission control factors;
the emission strategy generation module is used for acquiring air quality target data and obtaining at least one pollutant emission strategy corresponding to the air quality target data according to an emission proportion coefficient based on the emission control matrix, wherein each pollutant emission strategy comprises a corresponding relation between pollutant emission amount and emission concentration;
and the environment capacity calculation module is used for calculating the environment capacity according to the pollutant discharge amount based on the pollutant discharge strategy.
A computer device comprising a memory, a processor and a computer program stored in the memory and running on the processor, the processor implementing the steps of the above-described environment capacity calculation method when executing the computer program.
A computer-readable storage medium storing a computer program which, when executed by a processor, implements the steps of the above-described environment capacity calculation method.
The application provides an environmental capacity calculation method, an environmental capacity calculation device, a computer device and a storage medium, wherein an air quality simulation model is constructed to obtain an emission concentration simulation value, a discharge control matrix is generated based on the emission concentration simulation value according to discharge control factors, a response relation between air quality and pollutant discharge is generated according to the discharge control matrix, a plurality of pollutant discharge strategies can be generated according to air quality target data and discharge proportion coefficients according to the response relation, air quality standard-reaching constraints are obtained according to the air quality target data, linear responses of the pollutant discharge quantity and the air quality can be simulated simultaneously according to the standard-reaching constraints according to the discharge control matrix, corresponding environmental capacities are calculated according to the pollutant discharge strategies, air quality simulation is not required to be performed respectively aiming at each discharge strategy, and finally, the environmental capacities are obtained on the basis of reaching the air quality target value, mention is made of the efficiency of calculating the environmental capacity.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the description of the embodiments of the present application will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
FIG. 1 is a schematic diagram of an application environment of a method for calculating environment capacity according to an embodiment of the present application;
FIG. 2 is a flow chart of a method of calculating an environmental capacity according to an embodiment of the present application;
FIG. 3 is a schematic diagram of an environment capacity calculating apparatus according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a computer device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
The method for calculating the environment capacity provided by the embodiment of the application can be applied to the application environment shown in fig. 1, wherein the terminal device communicates with the server through a network. The terminal device may be, but is not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices. The server may be implemented as a stand-alone server or as a server cluster consisting of a plurality of servers.
The system framework 100 may include terminal devices, networks, and servers. The network serves as a medium for providing a communication link between the terminal device and the server. The network may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
A user may use a terminal device to interact with a server over a network to receive or send messages or the like.
The terminal devices 101, 102, 103 may be various electronic devices having a display screen and supporting web browsing, including but not limited to smart phones, tablet computers, e-book readers, MP3 players (Moving Picture experts Group Audio Layer III, motion Picture experts compression standard Audio Layer 3), MP4 players (Moving Picture experts Group Audio Layer IV, motion Picture experts compression standard Audio Layer 4), laptop portable computers, desktop computers, and the like.
The server 105 may be a server providing various services, such as a background server providing support for pages displayed on the terminal devices 101, 102, 103.
The environment capacity calculation method provided by the embodiment of the present application is executed by a server, and accordingly, the environment capacity calculation device is disposed in the server.
It should be understood that the number of the terminal devices, the networks, and the servers in fig. 1 is only illustrative, and any number of the terminal devices, the networks, and the servers may be provided according to implementation requirements, and the terminal devices in the embodiment of the present application may specifically correspond to an application system in actual production.
In an embodiment, as shown in fig. 2, an environment capacity calculation method is provided, which is described by taking the server in fig. 1 as an example, and includes the following steps:
and S10, acquiring air simulation data, constructing an air quality simulation model based on the pre-training model, and inputting the air simulation data into the air quality simulation model to obtain an emission concentration simulation value.
Specifically, the air simulation data refers to data for simulating air quality. The method specifically comprises pollutant emission data, a meteorological simulation model and the like.
And taking the multi-scale air quality model CMAQ5.2 as a pre-training model, constructing an air quality simulation model, and inputting air simulation data into the air quality simulation model to obtain an emission concentration simulation value. Wherein, the emission concentration analog value refers to an emission concentration analog value of the pollutant.
And S20, acquiring the emission control factor, and generating an emission control matrix based on the emission concentration analog value and the emission control factor.
Specifically, the emission control factor refers to factors such as a specific area, industry, or variation in the amount of pollutants that vary independently. For different pollutants, the pollutants are selected to be different, for example, for PM2.5, VOCs, NOx, NH3, SO2 and primary PM2.5 are selected as pollution emission control precursor pollutants, VOCs, NOx, NH3 and SO2 are nonlinear pollution emission control pollutants, and primary PM2.5 is linear pollution emission control pollutants.
If a certain area is divided into m areas, the total number of the row control factors is
Wherein t represents the number of linear or nonlinear emission control factors, and h represents the type of the pollution source.
The control and discharge matrix is used for expressing the functional relation between certain pollutant discharge concentration and discharge source discharge amount and is used for simplifying the response relation between the pollutant discharge concentration and air quality.
According to the emission control matrix, the target air quality concentration change conditions under different emission control scenes can be quickly obtained, so that corresponding emission concentration response can be obtained in an actual pollution control decision.
And S30, acquiring air quality target data, and obtaining at least one pollutant emission strategy corresponding to the air quality target data according to the emission proportion coefficient based on the control matrix, wherein each pollutant emission strategy comprises the corresponding relation between pollutant emission amount and emission concentration.
Specifically, the air quality target data refers to a standard-reaching constraint value of air quality, and specifically, an air quality target concentration value corresponding to the air quality target is obtained.
It should be noted that the air quality target data refers to air quality target concentration values of a plurality of pollutants.
And establishing a corresponding pollutant emission strategy by taking the air quality target data as a limiting value and based on the emission control matrix according to the emission proportion coefficient.
The discharge proportion coefficient is used for controlling the discharge amount of pollutants, and after the discharge amount of each pollutant is controlled, the discharge concentration of the pollutants meets the air quality target data.
On the basis, the emission proportionality coefficient and the corresponding pollutant emission concentration are used as a pollutant emission strategy.
A real-time response simulation relation between the emission concentration and the air quality concentration of the pollutants is established through the emission control matrix, and all pollutant emission strategies meeting the air quality target can be obtained according to the emission control matrix on the basis of limiting the air quality target data.
And S40, calculating the environment capacity according to the pollutant discharge amount based on the pollutant discharge strategy.
Specifically, the emission amount of each pollutant is obtained according to a pollutant emission strategy, the emission amount of all pollutants is calculated to obtain the emission amount sum, and the emission amount sum is used as the environment capacity of each pollutant emission strategy.
Further, a pollutant emission strategy with the largest environmental capacity is selected as an emission reduction scene.
The environmental capacity refers to the maximum capacity of the atmospheric environment of a certain area to accommodate pollutants or the total amount of pollutants that can be discharged under the condition of meeting the target value of the atmospheric environment or the constraint of reaching the air quality standard.
In the embodiment, the emission concentration simulation value is obtained by constructing an air quality simulation model, the emission control matrix is generated based on the emission concentration simulation value according to the emission control factors, generating a response relation between the air quality and the pollutant discharge amount according to the control matrix, and according to the response relation, generating the air quality control matrix according to the air quality control matrix, generating a plurality of pollutant emission strategies according to the emission proportion coefficient, obtaining the air quality standard-reaching constraint according to the air quality target data, according to the control and emission matrix, linear response of pollutant emission and air quality can be simulated simultaneously according to standard-reaching constraint, corresponding environment capacity is calculated finally according to each pollutant emission strategy, air quality simulation is not needed for each emission strategy, and finally the environment capacity is obtained.
In this embodiment, as an alternative implementation manner, in S10, acquiring air simulation data, constructing an air quality simulation model based on a pre-trained model, and inputting the air simulation data into the air quality simulation model to obtain an emission concentration simulation value, where the method includes:
s101, acquiring a pollutant emission list, and performing space-time distribution on the pollutant emission list to obtain grid distribution data.
Specifically, the pollutant discharge list comprises various pollution sources and discharge data of various pollutants, wherein the discharge data comprises discharge time, discharge place and discharge amount.
And performing space-time distribution on the pollutant emission list, wherein the space-time distribution comprises time distribution spectrum data and space distribution spectrum data.
The space-time distribution is to specifically perform gridding distribution on the pollutant emission list and distribute the emission data in the pollutant emission list to corresponding grids.
And S102, carrying out meteorological mode simulation through the mesoscale meteorological model to obtain a meteorological simulation result.
And S103, taking the grid distribution data and the meteorological simulation result as air simulation data, and inputting the air simulation data into an air quality simulation model to obtain an emission concentration simulation value.
Specifically, meteorological mode simulation is performed through a mesoscale meteorological model, and a meteorological simulation result is obtained.
Wherein, weather mode selection WRF3.9.1, simulation area will adopt three-layer grid nested mode, and the grid horizontal resolution from outside to inside is 27kmx27km, 9kmx9km and 3kmx3km in proper order, and two latitudes are set as 25 degrees N and 40 degrees N, and the center longitude and latitude is set as 112 degrees E, 30 degrees N.
And performing meteorological simulation according to the reference year, performing meteorological simulation on 1 month, 4 months, 7 months and 10 months respectively, and obtaining a meteorological simulation result by taking the simulated mean value of 4 months as the meteorological value of the reference year.
Taking the grid distribution data and the meteorological simulation result as air simulation data for simulating the air quality of the reference year, specifically: and inputting the grid distribution data and the meteorological simulation result into an air quality simulation model to obtain an emission concentration simulation value.
Wherein, the emission concentration simulation value is obtained according to a standard year simulation mode. The reference year is the typical months of winter, spring, summer and autumn of the year, namely 1 month, 4 months, 7 months and 10 months, and the simulated mean value of the 4 months is taken as the simulated emission concentration value of the reference year.
And respectively simulating the 4 month shares to obtain a month discharge data simulation value of each month, and calculating the mean value of the month discharge data simulation values to obtain a discharge concentration simulation value.
In the embodiment, the pollutant discharge list is subjected to space-time distribution to obtain grid distribution data, the meteorological result is simulated to obtain a meteorological simulation result, and the air quality is simulated according to the grid distribution data and the meteorological simulation result based on pollutant and meteorological factors to obtain a discharge concentration simulation value. Through simulating meteorological factors, the influence of the meteorological factors on the environmental capacity can be accurately considered, and the accurate value of the emission concentration simulation value is improved to a certain extent.
In this embodiment, as an optional implementation manner, in S101, obtaining a pollutant emission list, and performing space-time distribution on the pollutant emission list to obtain grid distribution data, includes:
and S111, performing weight distribution on the pollutant discharge list according to the time coefficient to obtain time distribution data.
And S112, performing longitude and latitude distribution on the pollutant discharge list according to the space coefficient to obtain space distribution data.
S113, the time allocation data and the space allocation data are regarded as mesh allocation data.
Specifically, the time-space distribution comprises time distribution spectrum data and space distribution spectrum data, and the time distribution spectrum data is used for carrying out weight distribution on a pollutant discharge list according to a time coefficient to obtain a time distribution coefficient; and carrying out longitude and latitude distribution according to the space coefficient in the space distribution spectrum data to obtain space distribution data.
The temporal distribution coefficient and the spatial distribution coefficient are taken as grid distribution data.
Wherein, the time coefficient refers to a month change coefficient, a week change coefficient and a day change coefficient of the pollutant discharge amount. The space coefficient refers to a point source and a surface source, the point source is distributed according to the longitude and latitude of the pollution source in the pollutant discharge list, and the surface source data is distributed according to the related weight data.
In this embodiment, the purpose of grid distribution on the pollutant discharge list is to distribute the pollutant discharge data according to a space coefficient and a time coefficient to obtain a discharge amount change value of the pollutant based on time change and space change, the change condition of the pollutant discharge data can be clearly and definitely represented according to grid distribution data, and the air quality simulation model can obtain discharge concentration simulation data according to grid distribution data.
In this embodiment, as an alternative implementation manner, in S103, inputting the air simulation data into the air quality simulation model to obtain the emission concentration simulation value, including:
s131, inputting the air simulation data into the air quality simulation model to obtain an initial concentration simulation value.
S132, at least one air quality factor is obtained from the air quality simulation model, and a corresponding monitoring data set is obtained according to the air quality factor.
S133, an optimization model is built based on a random forest algorithm, and the monitoring data set is input into the optimization model to obtain an optimization result.
And S134, optimizing the initial concentration simulation value through the optimization result to obtain the emission concentration simulation value.
Specifically, the air simulation data is input into the air quality simulation model to obtain an initial concentration simulation value.
And taking the studied pollutant types and meteorological factors as air quality factors from the air quality simulation model, and acquiring a monitoring data set corresponding to each air quality factor.
For example, the pollutant species is PM 2.5 Selecting PM 2.5 The daily average mass concentration analog value of (a) was used as a monitoring data set. Meteorological factors include temperature, relative humidity, sea level barometric pressure, wind speed, and boundary layer height, among others.
And taking the value of the time span of each air quality factor at the current simulation moment as a monitoring data set.
The monitoring data set of 80% of the proportion samples is selected as a training set, and 20% is selected as a testing set.
And (4) constructing an optimization model through a random forest algorithm, inputting the training set into the optimization model for optimization training, and obtaining a simulation value. The test set is used as an observed value.
And comparing the analog value with the observed value, performing statistical verification, and selecting a statistical index for verification.
The statistical indexes include mean deviation, normalized mean deviation, average relative deviation, standard average error, average relative error, root mean square error, average absolute error, correlation coefficient, and the like.
And optimizing the initial concentration simulation value through the monitoring data set and the optimization model to obtain the emission concentration simulation value.
In this embodiment, the initial concentration analog value is obtained according to the air quality simulation model, the optimization model is constructed through a random forest algorithm, and the initial concentration analog value is optimized through the optimization model, so that the accuracy of the emission concentration analog value is improved.
In this embodiment, as an alternative implementation manner, at S20, acquiring a controlled emission factor, and generating a controlled emission matrix based on the emission concentration simulation value and the controlled emission factor, where the method includes:
s201, setting the emission control factor as the correlation among areas, industries and pollutant emission.
S202, generating a plurality of row control factors according to the row control factors, and sampling each row control factor by adopting a preset sampling method to obtain a sampling result.
And S203, expanding the sampling result to obtain a control and ranking matrix.
Specifically, the emission control factor is substantially based on the area, industry, pollutant type, and the like, and influences the change of the pollutant emission amount. And obtaining a plurality of row control factors according to the row control factors. Different emission control factors can be selected according to different target pollutants. For PM 2.5 Selecting VOCs, NOx, NH and SO 2 And primary PM 2.5 Primary PM as a controlled emission precursor contaminant 2.5 Linearly controlling the discharge of pollutants, linearly controlling the discharge of pollutants or non-linear pollutants as PM 2.5 The rank control factor of (c). The linear pollution discharge control method is characterized in that the linear pollution discharge control factor is a pollution discharge control factor which linearly influences the discharge concentration of a certain pollutant; non-linear pollution control refers to a pollution control factor that causes a non-linear effect on the emission concentration of a certain pollutant.
The emission control matrix is substantially expressed in the form of a matrix by relating the emission amount of pollutants corresponding to the emission control factor to the emission concentration.
The specific implementation manner of S202 is: and generating a high-dimensional sampling space based on the plurality of control and ranking factors. The preset sampling method is a Latin hypercube sampling method or a Hammersley sequence sampling method. And sampling the high-dimensional sampling space according to a preset sampling method to obtain a sampling result.
And performing surface fitting on the sampling result, wherein the fitting method can adopt a fitting method based on polynomial function regression to perform secondary modeling, so that the corresponding response of the air mass concentration is obtained under different emission control factors.
And fitting and expanding the sampling result to obtain a control and arranging matrix.
The steering matrix can be expressed according to the following formula:
each of the steering matrix (nxk)Element(s)
Representing a control factor for a region-a source-a pollutant, each row representing a random combination of emission control scenario coefficients.
The control and arrangement matrix samples the control and arrangement factors, realizes the response relation between the air quality concentrations corresponding to different control and arrangement scenes according to surface fitting, and can quickly output corresponding response values aiming at various control and arrangement scenes, thereby reducing the process of carrying out air quality simulation aiming at each control and arrangement scene and effectively improving the efficiency of outputting the response values.
In this embodiment, as an optional implementation manner, at S30, obtaining at least one pollutant discharge strategy corresponding to the air quality target data according to the discharge proportionality coefficient based on the control and arrangement matrix, including:
and S301, taking the air quality target data as a target function.
S302, presetting a plurality of groups of emission proportionality coefficients, and generating corresponding air quality concentration values through a control matrix based on a target function according to each emission proportionality coefficient.
And S303, regarding each emission proportionality coefficient, taking the emission proportionality coefficient and the corresponding air mass concentration value as a pollutant emission strategy.
Specifically, air quality target data is obtained and used as a target function for obtaining corresponding pollutant discharge amount according to the control matrix.
The discharge proportion coefficient refers to a control proportion for the amount of discharge of pollutants. For example, the emission proportionality coefficient is 50%, i.e., the amount of pollutants emitted is reduced to 50%.
And presetting a plurality of groups of discharge proportionality coefficients, and obtaining corresponding pollutant discharge amount according to the discharge proportionality coefficients. And generating an air quality concentration value through the control and discharge matrix based on the pollutant discharge amount.
And on the premise of meeting the air quality target data, obtaining a corresponding discharge proportion coefficient and a corresponding air quality concentration value according to the control matrix.
For example, if 2021 is taken as a reference year, the air quality PM corresponding to the emission amount of each pollutant 2.5 Concentration value of 68mg/m 3 Cannot reach the air quality second-level standard concentration of 35mg/m 3 。
In 2025 years, the pollutant emission needs to be reduced, and if the emission control coefficient is set to be 50%, VOCs, NOx and NH are treated 3 、SO 2 And primary PM 2.5 The discharge amount is reduced by 50 percent to obtain the PM with air quality 2.5 The concentration is 33mg/m 3 At this time, the mass of air PM 2.5 The concentration reaches the standard.
In the embodiment, the corresponding air quality concentration value is obtained through the emission control matrix according to the emission proportionality coefficient, the pollutant emission strategy can be obtained according to the corresponding air quality concentration value and the corresponding emission proportionality coefficient, the pollutant emission strategy meeting the air quality target value can be obtained through the emission control matrix, the subsequent process of calculating the environment capacity according to the pollutant emission strategy can be quicker, and the efficiency of calculating the environment capacity is improved.
In this embodiment, as an alternative implementation, at S40, calculating the environmental capacity according to the pollutant discharge amount based on the pollutant discharge policy includes:
s401, calculating the sum of the pollutant discharge amount according to the pollutant discharge strategy, and taking the sum as the calculation result of the pollutant discharge strategy.
S402, taking the maximum calculation result as the total environment amount.
Specifically, the pollutant emission strategy comprises an emission proportionality coefficient of pollutants and an air mass concentration value. And calculating the pollutant discharge amount according to the discharge proportion coefficient of each pollutant.
And calculating the sum of the pollutant discharge amount of all pollutants to obtain a calculation result.
Further, if a plurality of pollutant emission strategies exist, the maximum calculation result is used as the environmental capacity.
In the embodiment, the total amount of the pollutant emission in the pollutant emission strategy is calculated to serve as the environment capacity, the pollutant emission strategy is set on the premise that the air quality target data is met, the environment capacity is calculated on the basis of the pollutant emission, air quality simulation is not required to be repeatedly performed according to the pollutant emission strategy, the time for calculating the environment capacity is shortened, and the efficiency for calculating the environment capacity is improved. It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by functions and internal logic of the process, and should not constitute any limitation to the implementation process of the embodiments of the present application.
In one embodiment, an environment capacity calculation apparatus is provided, and the environment capacity calculation apparatus corresponds to the environment capacity calculation method in the above embodiments one to one. As shown in fig. 3, the environment capacity calculation means includes a simulation value generation module 31, a ranking matrix generation module 32, an emission strategy generation module 33, and an environment capacity calculation module 34. The functional modules are explained in detail as follows:
and the simulation value generation module 31 is configured to obtain air simulation data, construct an air quality simulation model based on the pre-training model, and input the air simulation data to the air quality simulation model to obtain an emission concentration simulation value.
And the control and arrangement matrix generation module 32 is used for acquiring the control and arrangement factors and generating a control and arrangement matrix based on the emission concentration analog value and the control and arrangement factors.
And the emission strategy generating module 33 is configured to obtain air quality target data, and obtain at least one pollutant emission strategy corresponding to the air quality target data according to the emission proportion coefficient based on the emission control matrix, where each pollutant emission strategy includes a corresponding relationship between pollutant emission amount and emission concentration.
And the environment capacity calculation module 34 is used for calculating the environment capacity according to the pollutant discharge amount based on the pollutant discharge strategy.
In this embodiment, as an optional implementation manner, the analog value generating module 31 includes:
and the grid distribution unit is used for acquiring the pollutant emission list and performing space-time distribution on the pollutant emission list to obtain grid distribution data.
And the meteorological simulation unit is used for carrying out meteorological mode simulation through the mesoscale meteorological model to obtain a meteorological simulation result.
And the simulation value generation unit is used for taking the grid distribution data and the meteorological simulation result as air simulation data, and inputting the air simulation data into the air quality simulation model to obtain the emission concentration simulation value.
In this embodiment, as an optional implementation manner, the grid allocation unit includes:
and the time distribution subunit is used for carrying out weight distribution on the pollutant discharge list according to the time coefficient to obtain time distribution data.
And the space distribution subunit is used for carrying out longitude and latitude distribution on the pollutant discharge list according to the space coefficient to obtain space distribution data.
And a grid allocation subunit for taking the time allocation data and the space allocation data as grid allocation data.
In this embodiment, as an optional implementation manner, the analog value generating unit includes:
and the initial simulation value generation subunit is used for inputting the air simulation data into the air quality simulation model to obtain an initial concentration simulation value.
And the monitoring data acquisition subunit is used for acquiring at least one air quality factor from the air quality simulation model and acquiring a corresponding monitoring data set according to the air quality factor.
And the optimization result generation subunit is used for constructing an optimization model based on a random forest algorithm, and inputting the monitoring data set into the optimization model to obtain an optimization result.
And the analog value generation subunit is used for optimizing the initial concentration analog value through the optimization result to obtain the emission concentration analog value.
In this embodiment, as an optional implementation manner, the rank control matrix generating module 32 includes:
and the factor setting unit is used for setting the emission control factor as the correlation among areas, industries and pollutant emission.
And the sampling unit is used for generating a plurality of control and emission factors according to the control and emission factors, and sampling each control and emission factor by adopting a preset sampling method to obtain a sampling result.
And the matrix generating unit is used for expanding the sampling result to obtain the control and arrangement matrix.
In this embodiment, as an optional implementation, the emission strategy generation module 33 includes:
and the target function setting unit is used for taking the air quality target data as a target function.
And the emission generating unit is used for presetting a plurality of groups of emission proportionality coefficients and generating a corresponding air quality concentration value through the emission control matrix based on the target function according to each emission proportionality coefficient.
And the strategy generating unit is used for regarding each emission proportionality coefficient as a pollutant emission strategy by using the emission proportionality coefficient and the corresponding air mass concentration value.
In this embodiment, as an optional implementation, the environment capacity calculation module 34 includes:
and a result calculating unit for calculating the sum of the pollutant discharge amount as the calculation result of the pollutant discharge strategy according to the pollutant discharge strategy.
And the environment total generation unit is used for taking the maximum calculation result as the environment total.
Wherein the meaning of "first" and "second" in the above modules/units is only to distinguish different modules/units, and is not used to define which module/unit has higher priority or other defining meaning. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or modules is not necessarily limited to those steps or modules explicitly listed, but may include other steps or modules not explicitly listed or inherent to such process, method, article, or apparatus, and such that a division of modules presented in this application is merely a logical division and may be implemented in a practical application in a further manner.
For specific definition of the environment capacity calculation device, see the above definition of the environment capacity calculation method, which is not described herein again. The various modules in the above-described environment capacity calculation apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing data involved in the environment capacity calculation method. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement an environmental capacity calculation method.
In one embodiment, there is provided a computer device comprising a memory, a processor and a computer program stored on the memory and running on the processor, the processor when executing the computer program implementing the steps of the method for calculating environmental capacity in the above embodiments, such as the steps S10 to S40 shown in fig. 2 and other extensions of the method and related steps. Alternatively, the processor, when executing the computer program, implements the functions of the modules/units of the environment capacity calculation apparatus in the above-described embodiments, such as the functions of the modules 31 to 34 shown in fig. 3. To avoid repetition, further description is omitted here.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, etc. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like which is the control center for the computer device and which connects the various parts of the overall computer device using various interfaces and lines.
The memory may be used to store the computer programs and/or modules, and the processor may implement various functions of the computer device by running or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory 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 required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, video data, etc.) created according to the use of the cellular phone, etc.
The memory may be integrated in the processor or may be provided separately from the processor.
In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, which when executed by a processor implements the steps of the method for calculating environmental capacity of the above embodiments, such as the steps S10 through S40 shown in fig. 2 and extensions of other extensions and related steps of the method. Alternatively, the computer program, when executed by the processor, implements the functions of the modules/units of the environment capacity calculation apparatus in the above-described embodiments, such as the functions of the modules 31 to 34 shown in fig. 3. To avoid repetition, further description is omitted here.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.
Claims (10)
1. An environmental capacity calculation method, comprising:
acquiring air simulation data, constructing an air quality simulation model based on a pre-training model, and inputting the air simulation data into the air quality simulation model to obtain an emission concentration simulation value;
acquiring a discharge control factor, and generating a discharge control matrix based on the discharge concentration analog value and the discharge control factor;
acquiring air quality target data, and obtaining at least one pollutant emission strategy corresponding to the air quality target data according to an emission proportion coefficient based on the emission control matrix, wherein each pollutant emission strategy comprises a corresponding relation between pollutant emission amount and emission concentration;
and calculating the environment capacity according to the pollutant discharge amount based on the pollutant discharge strategy.
2. The environmental capacity calculation method of claim 1, wherein the obtaining air simulation data and constructing an air quality simulation model based on a pre-trained model, and the inputting the air simulation data into the air quality simulation model to obtain the emission concentration simulation value comprises:
acquiring a pollutant emission list, and performing space-time distribution on the pollutant emission list to obtain grid distribution data;
carrying out meteorological model simulation through a mesoscale meteorological model to obtain a meteorological simulation result;
and taking the grid distribution data and the meteorological simulation result as the air simulation data, and inputting the air simulation data into the air quality simulation model to obtain the emission concentration simulation value.
3. The environmental capacity calculation method of claim 2, wherein the inputting the air simulation data into the air quality simulation model to obtain the emission concentration simulation value comprises:
inputting the air simulation data into the air quality simulation model to obtain an initial concentration simulation value;
acquiring at least one air quality factor from the air quality simulation model, and acquiring a corresponding monitoring data set according to the air quality factor;
constructing an optimization model based on a random forest algorithm, and inputting the monitoring data set into the optimization model to obtain an optimization result;
and optimizing the initial concentration simulation value according to the optimization result to obtain the emission concentration simulation value.
4. The environmental capacity calculation method of claim 2, wherein the obtaining pollutant emission lists and performing space-time distribution on the pollutant emission lists to obtain grid distribution data comprises:
according to the time coefficient, carrying out weight distribution on the pollutant discharge list to obtain time distribution data;
according to the space coefficient, performing longitude and latitude distribution on the pollutant discharge list to obtain space distribution data;
and taking the time allocation data and the space allocation data as the grid allocation data.
5. The environmental capacity calculation method according to claim 1, wherein the obtaining a discharge control factor and generating a discharge control matrix based on the discharge concentration simulation value and the discharge control factor comprises:
setting the emission control factors as the correlation among areas, industries and pollutant emission;
generating a plurality of control and drainage factors according to the control and drainage factors, and sampling each control and drainage factor by adopting a preset sampling method to obtain a sampling result;
and expanding the sampling result to obtain the control and arrangement matrix.
6. The environmental capacity calculation method of claim 1, wherein the deriving at least one pollutant emission strategy corresponding to the air quality target data from an emission scaling factor based on the steering matrix comprises:
taking the air quality target data as a target function;
presetting a plurality of groups of emission proportionality coefficients, and generating corresponding air quality concentration values through the control matrix based on the target function according to each emission proportionality coefficient;
for each of the emission scaling factors, the emission scaling factor and the corresponding air mass concentration value are taken as one pollutant emission strategy.
7. The environmental capacity calculation method of claim 1, wherein calculating the environmental capacity according to the pollutant discharge amount based on the pollutant discharge strategy comprises:
calculating the sum of the pollutant discharge amount according to the pollutant discharge strategy, and taking the sum as the calculation result of the pollutant discharge strategy;
and taking the maximum calculation result as the environment total amount.
8. An environmental capacity calculation device, comprising:
the simulation value generation module is used for acquiring air simulation data, constructing an air quality simulation model based on a pre-training model, and inputting the air simulation data into the air quality simulation model to obtain an emission concentration simulation value;
the emission control matrix generation module is used for acquiring emission control factors and generating an emission control matrix based on the emission concentration analog value and the emission control factors;
the emission strategy generation module is used for acquiring air quality target data and obtaining at least one pollutant emission strategy corresponding to the air quality target data according to an emission proportion coefficient based on the emission control matrix, wherein each pollutant emission strategy comprises a corresponding relation between pollutant emission amount and emission concentration;
and the environment capacity calculation module is used for calculating the environment capacity according to the pollutant discharge amount based on the pollutant discharge strategy.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and running on the processor, characterized in that the processor implements the steps of the environment capacity calculation method according to any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the method for computing environmental capacity according to any one of claims 1 to 7.
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