CN115598299B - Environmental impact assessment method and system based on atmospheric diffusion model - Google Patents
Environmental impact assessment method and system based on atmospheric diffusion model Download PDFInfo
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Abstract
The application provides an environmental impact assessment method and system based on an atmospheric diffusion model, wherein the method comprises the following steps: the atmospheric diffusion model collects analog signals of pollutant concentration parameters of an environmental impact assessment area, and digital signals of the pretreated pollutant concentration parameters are obtained after pretreatment; the atmospheric diffusion model analyzes the atmospheric diffusion condition of the pollutants by utilizing the pretreated digital signals of the pollutant concentration parameters to obtain a short-term concentration contribution value and a long-term concentration contribution value of each pollutant; and (3) according to the short-term concentration contribution value and the long-term concentration contribution value, evaluating the maximum concentration occupation rate of each pollutant on the environmental influence, and obtaining the standard condition of daily average mass concentration and annual average mass concentration of each pollutant. The application improves the precision of the pollutant concentration parameter, and is beneficial to the atmospheric diffusion model to obtain accurate output results; the pollutants are classified, so that the accuracy of the result of environmental impact assessment can be greatly improved.
Description
Technical Field
The application relates to the technical field of meteorological information processing, in particular to an environmental impact assessment method and system based on an atmospheric diffusion model.
Background
The atmospheric environment is the basis of human survival, and the quality of the atmospheric environment directly influences the living standard and quality of people. Today's society, technology is rapidly evolving, and people have come to appreciate the importance of the atmospheric environment and have taken many measures to protect the atmospheric environment, such as: development of new energy, reduction of coal use and the like; the quality of the atmosphere environment has an important influence on the environment, and the evaluation result of the environment is obtained by analyzing the related parameters of the atmosphere diffusion model, so that reference data is provided for the transformation of the atmosphere environment.
In the first prior art, CN201811106038.1 is an environmental impact assessment method based on an atmospheric diffusion model and linear programming, comprising the following steps: (1) Determining an evaluation area on an atmospheric diffusion model platform, and dividing a calculation grid for the evaluation area; (2) Establishing a parameter database of the evaluation area meeting the requirements of the atmospheric diffusion model platform, and selecting a plurality of points of interest in the evaluation area; (3) The atmospheric diffusion model platform outputs a result file of concentration contribution values of pollutants discharged by various pollution sources to various concerned points for the linear programming platform to use; (4) The linear programming platform establishes an atmospheric pollutant maximum emission model, and the model is as follows: objective function: f (Q) =d×b×q0×a; (5) And (3) returning to the step (3) to enter the next evaluation period after the end of the current evaluation period. Although the environmental impact assessment method based on the atmospheric diffusion model and the linear programming has higher accuracy and instantaneity, the adopted atmospheric diffusion model has inaccurate data and has poorer environmental impact assessment effect.
In the second prior art, CN202011565422.5 is a radiation environment management and evaluation method and system, wherein the system comprises a site environment characteristic data module, a nuclear facility characteristic data module, an effluent monitoring data management module, an environment monitoring data management module, an air-current carrier migration and diffusion simulation module and a radiation environment influence evaluation module; based on the accurate position relation between the effluent discharge point and the receiving point provided by the geographic information system, the environment monitoring data and the effluent monitoring data are managed, the radiation environment influence relation between the discharge point and the receiving point is established by adopting an atmospheric diffusion model and a radiation dose estimation model, and although the statistical analysis of facility effluent and the environment monitoring data and the radiation environment influence evaluation can be realized, the environment evaluation result cannot be comprehensively reflected only aiming at nuclear radiation without other pollution to the atmosphere, and the application range is narrow.
In the third prior art, CN201810255675.9 is a method for predicting the public dose caused by nuclides in future weather situations of a nuclear power plant, and particularly relates to a method for predicting the public dose caused by nuclides in future weather situations of the nuclear power plant. The method utilizes a random sampling method to generate a site meteorological element field; generating regional site meteorological element field disturbance quantity by utilizing future weather scenes, and generating atmospheric diffusion factors in the current weather scenes and the future weather scenes by utilizing weather site random meteorological field data driving an atmospheric diffusion model; and comparing the public irradiation dose caused by nuclides at different positions and different distances in the current weather and future weather situations. Although the method is scientific and reasonable, the method is an important technical means for predicting and analyzing the atmospheric environmental influence of the radionuclide in the nuclear power plant, has no other pollution to the atmosphere, has a narrow application range, and cannot comprehensively reflect environmental assessment results.
The application provides an environmental impact assessment method and system based on an atmospheric diffusion model, which acquire accurate atmospheric data through the atmospheric diffusion model, so as to obtain an environmental impact assessment result.
Disclosure of Invention
In order to solve the technical problems, the application provides an environmental impact assessment method based on an atmospheric diffusion model, which comprises the following steps:
the atmospheric diffusion model collects analog signals of pollutant concentration parameters of an environmental impact assessment area, and digital signals of the pretreated pollutant concentration parameters are obtained after pretreatment;
the atmospheric diffusion model analyzes the atmospheric diffusion condition of the pollutants by utilizing the pretreated digital signals of the pollutant concentration parameters to obtain a short-term concentration contribution value and a long-term concentration contribution value of each pollutant;
and (3) according to the short-term concentration contribution value and the long-term concentration contribution value, evaluating the maximum concentration occupation rate of each pollutant on the environmental influence, and obtaining the standard condition of daily average mass concentration and annual average mass concentration of each pollutant.
Optionally, demarcating an environmental impact assessment area on a platform of the atmospheric diffusion model;
collecting a sample of the pollutant through an end sensor of a pollutant concentration detector in an environmental impact evaluation area to obtain an analog signal of the pollutant sample;
the analog signal is amplified by an operational amplifier to weak analog signal, noise interference is removed by a filter, and then digital signal of the pollutant sample is obtained by analog-to-digital conversion, and finally digital signal of pollutant concentration parameter is obtained.
Alternatively, the collection of the contaminant samples is achieved by providing a number of contaminant concentration detectors, the number of contaminant concentration detectors being arranged in the order of 4-5 per 100 square meters.
Optionally, noise interference is removed through a filter, the weight of the analog signal is calculated, and the size of the space domain and the frequency domain of the analog signal is adaptively adjusted, so that noise is removed.
Optionally, receiving a digital signal of the pre-processed contaminant concentration parameter;
distinguishing the digital signals according to short term and long term and analyzing the atmospheric diffusion condition of pollutants;
a short-term concentration contribution and a long-term concentration contribution of each contaminant are calculated.
Optionally, the short-term concentration contribution value is calculated as the ratio of the concentration of each pollutant to all pollutants at the same time, and the same time is 1h, 8h, 12h and 24h;
the long-term concentration contribution is calculated as the ratio of the concentration of each contaminant to all contaminants over the same period of time, which is month, season or year.
The application provides an environmental impact assessment system based on an atmospheric diffusion model, which comprises the following components:
the parameter preprocessing module is used for acquiring analog signals of pollutant concentration parameters of the environmental impact evaluation area by the atmospheric diffusion model, and preprocessing the analog signals to obtain preprocessed digital signals of the pollutant concentration parameters;
the contribution value calculation module is used for analyzing the atmospheric diffusion condition of the pollutants by using the pretreated digital signals of the pollutant concentration parameters by the atmospheric diffusion model to obtain a short-term concentration contribution value and a long-term concentration contribution value of each pollutant;
and the environmental impact evaluation module evaluates the maximum concentration occupation rate of each pollutant on the environmental impact according to the short-term concentration contribution value and the long-term concentration contribution value, and obtains the standard condition of daily average mass concentration and annual average mass concentration of each pollutant.
Optionally, the parameter preprocessing module includes:
the amplifying processing sub-module is responsible for amplifying the weak analog signals by the operational amplifier;
the noise removing submodule is responsible for removing noise interference through a filter;
and the analog-to-digital conversion sub-module is responsible for obtaining a digital signal of the pollutant sample through analog-to-digital conversion, and finally obtaining a digital signal of the pollutant concentration parameter.
Optionally, the parameter preprocessing module is provided with a pollutant concentration detector, and the pollutant concentration detector is connected with an informationized instrument management module for realizing informationized management of the pollutant detector through wireless connection.
Optionally, the informationized instrument management module includes:
the detector information management submodule is used for managing information such as receiving date, model, maintenance date and service life of each pollutant concentration detector;
the performance detection sub-module is used for carrying out self-detection on the pollutant concentration detector according to the informationized instrument management system;
the fault alarm sub-module is connected with the detector information management sub-module and the performance detection sub-module, and when the pollutant concentration detector reaches the service life, the maintenance date or the self-detection failure, an alarm is sent out for replacement or maintenance.
According to the application, the pollutant concentration parameters of the environmental impact assessment area are collected through the atmospheric diffusion model, the pollutant concentration parameters after pretreatment are obtained through pretreatment, and the pollutant concentration parameters are pretreated, so that the accuracy of the pollutant concentration parameters is improved, and the atmospheric diffusion model can obtain accurate output results; the atmospheric diffusion model analyzes the atmospheric diffusion condition of the pollutants by utilizing the pretreated pollutant concentration parameters to obtain short-term concentration contribution values and long-term concentration contribution values of the pollutants, and the pollution timeliness is different due to different types of the pollutants, so that the pollutants are classified by calculating the short-term concentration contribution values and the long-term concentration contribution values, and the accuracy of the environmental impact assessment result can be greatly improved; and (3) evaluating the maximum concentration occupation rate of each pollutant on the environment according to the short-term concentration contribution value and the long-term concentration contribution value, and laying a technical foundation for obtaining the standard condition of daily average mass concentration and annual average mass concentration of each pollutant.
Additional features and advantages of the application will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the application. The objectives and other advantages of the application will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the application is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate the application and together with the embodiments of the application, serve to explain the application. In the drawings:
FIG. 1 is a flow chart of an environmental impact assessment method based on an atmospheric diffusion model in an embodiment of the present application;
FIG. 2 is a flow chart of the preprocessing of analog signals of contaminant concentration parameters in an embodiment of the present application;
FIG. 3 is a flowchart of the calculation of the short-term concentration contribution and the long-term concentration contribution in an embodiment of the application;
FIG. 4 is a block diagram of an environmental impact assessment system based on an atmospheric diffusion model in an embodiment of the present application;
FIG. 5 is a block diagram of an information-bearing instrument management module in accordance with an embodiment of the present application.
Detailed Description
The preferred embodiments of the present application will be described below with reference to the accompanying drawings, it being understood that the preferred embodiments described herein are for illustration and explanation of the present application only, and are not intended to limit the present application.
The terminology used in the embodiments of the application is for the purpose of describing particular embodiments only and is not intended to be limiting of embodiments of the application. As used in this application and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any or all possible combinations of one or more of the associated listed items.
When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application as detailed in the accompanying claims. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art according to the specific circumstances.
Example 1
As shown in fig. 1, an embodiment of the present application provides an environmental impact assessment method based on an atmospheric diffusion model, including the following steps:
s100: the atmospheric diffusion model collects analog signals of pollutant concentration parameters of an environmental impact assessment area, and digital signals of the pretreated pollutant concentration parameters are obtained after pretreatment;
s200: the atmospheric diffusion model analyzes the atmospheric diffusion condition of the pollutants by utilizing the pretreated digital signals of the pollutant concentration parameters to obtain a short-term concentration contribution value and a long-term concentration contribution value of each pollutant;
s300: and (3) according to the short-term concentration contribution value and the long-term concentration contribution value, evaluating the maximum concentration occupation rate of each pollutant on the environmental influence, and obtaining the standard condition of daily average mass concentration and annual average mass concentration of each pollutant.
The working principle and beneficial effects of the technical scheme are as follows: according to the application, the pollutant concentration parameters of the environmental impact assessment area are collected through the atmospheric diffusion model, the pollutant concentration parameters after pretreatment are obtained through pretreatment, and the pollutant concentration parameters are pretreated, so that the accuracy of the pollutant concentration parameters is improved, and the atmospheric diffusion model can obtain accurate output results; the atmospheric diffusion model analyzes the atmospheric diffusion condition of the pollutants by utilizing the pretreated pollutant concentration parameters to obtain short-term concentration contribution values and long-term concentration contribution values of the pollutants, and the pollution timeliness is different due to different types of the pollutants, so that the pollutants are classified by calculating the short-term concentration contribution values and the long-term concentration contribution values, and the accuracy of the environmental impact assessment result can be greatly improved; and (3) evaluating the maximum concentration occupation rate of each pollutant on the environment according to the short-term concentration contribution value and the long-term concentration contribution value, and laying a technical foundation for obtaining the standard condition of daily average mass concentration and annual average mass concentration of each pollutant. The environmental impact assessment area provided by the embodiment of the application comprises the following pollutants: sulfur dioxide, nitrogen oxides, particulate contaminants, fluorides, lead compounds, and the like. Sulfur dioxide, nitrogen oxides, granular pollutants, fluoride, lead compounds and the like in the atmosphere can directly reflect the current atmosphere quality of the environment, and the pollutants are also main components of the atmosphere pollution and directly relate to the atmosphere quality; the method and the device ensure the data integrity of the environmental impact assessment by collecting the main pollutants in the environmental impact assessment area, can reflect the main characteristics of the atmosphere, and ensure the accuracy of the environmental impact assessment result.
Example 2
As shown in fig. 2, on the basis of embodiment 1, step S100 provided in the embodiment of the present application includes:
s101: demarcating an environmental impact assessment area on a platform of an atmospheric diffusion model;
s102: collecting a sample of the pollutant through an end sensor of a pollutant concentration detector in an environmental impact evaluation area to obtain an analog signal of the pollutant sample;
s103: the analog signal is amplified by an operational amplifier to weak analog signal, noise interference is removed by a filter, and then digital signal of the pollutant sample is obtained by analog-to-digital conversion, and finally digital signal of pollutant concentration parameter is obtained.
The working principle and beneficial effects of the technical scheme are as follows: according to the application, the environmental impact assessment of the set area is realized by demarcating the range of the environmental impact assessment area, so that the resources are saved, the pertinence of the assessment is improved, and the efficiency of the environmental assessment is improved; the collection of the pollutant samples is realized by arranging a plurality of pollutant concentration detectors, the number of the pollutant concentration detectors is arranged according to 4-5 per 100 square meters, the collection number of the pollutant samples can be ensured to the maximum extent, and the precision of environmental impact assessment is also ensured; because the environment of the pollutant concentration detector is complex, the acquisition precision is easily affected, and accurate digital signals of pollutant samples are obtained by amplifying, filtering and analog-to-digital conversion processing of analog signals, so that reliable data is provided for environmental impact assessment.
Example 3
On the basis of embodiment 2, the following equations are used for removing noise interference through the filter according to the embodiment of the present application:
wherein x (i) represents an analog signal from which noise interference is removed, oc represents a weight component of the analog signal, and σ d Standard deviation sigma representing space domain Gaussian of analog signal s The standard deviation of the analog signal frequency domain gaussian is represented, W (j) represents the weight of the analog signal, and f (j) represents the analog signal before filtering.
The working principle and beneficial effects of the technical scheme are as follows: according to the application, noise interference is removed through the filter, noise in the analog signal is removed, the size of the space domain and the frequency domain of the analog signal is adjusted by calculating the weight of the analog signal, noise is removed, the integrity of the analog signal is ensured through denoising, the analog signal of pollutants is more accurate, the size of the space domain and the frequency domain of the analog signal can be adjusted in a self-adaptive manner, the problem that the traditional filter circuit cannot be adjusted in a self-adaptive manner is solved, and the environmental impact evaluation system is more intelligent.
Example 4
As shown in fig. 3, on the basis of embodiment 1, step S200 provided in the embodiment of the present application includes:
s201: receiving a digital signal of the pretreated pollutant concentration parameter;
s202: distinguishing the digital signals according to short term and long term and analyzing the atmospheric diffusion condition of pollutants;
s203: a short-term concentration contribution and a long-term concentration contribution of each contaminant are calculated.
The working principle and beneficial effects of the technical scheme are as follows: the short-term concentration contribution value of each pollutant provided by the embodiment of the application comprises the following steps: 1h average mass concentration, 8h average mass concentration, 12h average mass concentration, and 24h average mass concentration; the long-term concentration contribution values of each contaminant include: month average mass concentration, season average mass concentration, and year average mass concentration. The atmospheric diffusion model of the application analyzes the atmospheric diffusion condition of pollutants by utilizing the pretreated digital signal of the pollutant concentration parameter to obtain a short-term concentration contribution value and a long-term concentration contribution value of each pollutant, wherein the short-term concentration contribution value comprises: the four average concentrations of 1h average concentration, 8h average concentration, 12h average concentration and 24h average concentration realize the real-time monitoring of pollutants and provide reliable data for obtaining environmental impact assessment results; the long-term concentration contribution values of each contaminant include: the month average mass concentration, the season average mass concentration and the year average mass concentration realize the real-time monitoring of pollutants for a long time and provide reliable data for evaluating the environmental influence of a period of time. The medium-short term of the application is four average concentrations of 1h average concentration, 8h average concentration, 12h average concentration and 24h average concentration; the long-term average mass concentration in month, average mass concentration in season and average mass concentration in year; the method realizes the automatic division of the concentration of each pollutant in a short period and a long period, is favorable for calculating the short-period concentration contribution value and the long-period concentration contribution value of each pollutant, and further can obtain the accurate mark occupation rate of the pollutant in pollution, and further can obtain the accurate atmospheric pollution condition.
Example 5
On the basis of example 4, the short-term concentration contribution value calculation formula of each pollutant provided by the embodiment of the application is as follows:
wherein A is 1 、A 2 、A 3 、A 4 And A 5 Respectively represent the short-term concentration contribution value of sulfur dioxide, nitrogen oxides, particulate pollutants, fluoride and lead compounds, alpha 1 、β 1 、γ 1 、δ 1 And epsilon 1 Respectively representing concentration values of sulfur dioxide, nitrogen oxides, granular pollutants, fluoride and lead compounds at the same time; the same time is 1h, 8h, 12h or 24h.
The calculation formula of the long-term concentration contribution value of each pollutant provided by the embodiment of the application is as follows:
wherein B is 1 、B 2 、B 3 、B 4 And B 5 Respectively represent the long-term concentration contribution value of sulfur dioxide, nitrogen oxide, particulate pollutant, fluoride and lead compound, mu 1 、π 1 、ρ 1 、σ 1 And τ 1 Respectively representing concentration values of sulfur dioxide, nitrogen oxides, granular pollutants, fluoride and lead compounds in the same period; the same period is month, season or year.
The working principle and beneficial effects of the technical scheme are as follows: according to the application, the short-term concentration contribution value and the long-term concentration contribution value of sulfur dioxide, nitrogen oxides, granular pollutants, fluoride, lead compounds and the like are obtained through the short-term concentration contribution value and the long-term concentration contribution value of each pollutant, the influence degree of each pollutant on the atmospheric environment is obtained, an accurate environmental influence assessment result is obtained, and a data reference is provided for the later atmospheric environment treatment.
Example 6
As shown in fig. 4, on the basis of embodiment 1, the environmental impact evaluation system based on the atmospheric diffusion model provided by the embodiment of the present application includes:
the parameter preprocessing module is used for acquiring analog signals of pollutant concentration parameters of the environmental impact evaluation area by the atmospheric diffusion model, and preprocessing the analog signals to obtain preprocessed digital signals of the pollutant concentration parameters;
the contribution value calculation module is used for analyzing the atmospheric diffusion condition of the pollutants by using the pretreated digital signals of the pollutant concentration parameters by the atmospheric diffusion model to obtain a short-term concentration contribution value and a long-term concentration contribution value of each pollutant;
and the environmental impact evaluation module evaluates the maximum concentration occupation rate of each pollutant on the environmental impact according to the short-term concentration contribution value and the long-term concentration contribution value, and obtains the standard condition of daily average mass concentration and annual average mass concentration of each pollutant.
The working principle and beneficial effects of the technical scheme are as follows: the parameter preprocessing module provided by the application is used for acquiring the analog signals of the pollutant concentration parameters of the environmental impact evaluation area by the atmospheric diffusion model, preprocessing the analog signals to obtain the preprocessed digital signals of the pollutant concentration parameters, preprocessing the pollutant concentration parameters, improving the precision of the pollutant concentration parameters, and being beneficial to the atmospheric diffusion model to obtain accurate output results; the contribution value calculation module is used for analyzing the atmospheric diffusion condition of the pollutants by utilizing the pretreated digital signals of the pollutant concentration parameters to obtain short-term concentration contribution values and long-term concentration contribution values of the pollutants, and the pollution timeliness is different due to different types of the pollutants; the environmental impact evaluation module evaluates the maximum concentration occupation rate of each pollutant on the environmental impact according to the short-term concentration contribution value and the long-term concentration contribution value to obtain the standard condition of the daily average mass concentration and the annual average mass concentration of each pollutant, and lays a technical foundation for obtaining the standard condition of the daily average mass concentration and the annual average mass concentration of each pollutant.
Example 7
As shown in fig. 5, on the basis of embodiment 6, the parameter preprocessing module provided by the embodiment of the application is provided with a pollutant concentration detector, and the pollutant concentration detector is connected with an informationized instrument management module for realizing informationized management of the pollutant detector through wireless connection; the informationized instrument management module comprises:
the detector information management submodule is used for managing information such as receiving date, model, maintenance date and service life of each pollutant concentration detector;
the performance detection sub-module is used for carrying out self-detection on the pollutant concentration detector according to the informationized instrument management system;
the fault alarm sub-module is connected with the detector information management sub-module and the performance detection sub-module, and when the pollutant concentration detector reaches the service life, the maintenance date or the self-detection failure, an alarm is sent out for replacement or maintenance.
The working principle and beneficial effects of the technical scheme are as follows: the application manages the information such as the receiving date, the model, the maintenance date, the service life and the like of each pollutant concentration detector through the detector information management module; the performance detection module carries out self-detection on the pollutant concentration detector according to the informationized instrument management system; the fault alarm module gives an alarm when the pollutant concentration detector reaches the service life, the maintenance date or the self-checking fails, and performs replacement or maintenance, so that the self-management of the pollutant concentration detector is realized, the fault rate is reduced, the service life is prolonged to be shorter, the measurement error is reduced, the accuracy of monitoring data is ensured, the management and management capacity of the pollutant concentration detector is improved, the condition of the pollutant concentration detector can be effectively monitored in real time, and the daily maintenance and maintenance process is simplified.
Example 8:
on the basis of embodiment 6, the parameter preprocessing module provided by the embodiment of the application comprises:
the amplifying processing sub-module is responsible for amplifying the weak analog signals by the operational amplifier;
the noise removing submodule is responsible for removing noise interference through a filter;
and the analog-to-digital conversion sub-module is responsible for obtaining a digital signal of the pollutant sample through analog-to-digital conversion, and finally obtaining a digital signal of the pollutant concentration parameter.
The working principle and beneficial effects of the technical scheme are as follows: the amplifying processing submodule of the application amplifies weak analog signals through an operational amplifier; the noise removing submodule removes noise interference through a filter; the analog-to-digital conversion sub-module obtains a digital signal of the pollutant sample through analog-to-digital conversion, finally obtains a digital signal of the pollutant concentration parameter, obtains an accurate digital signal of the pollutant sample through amplification, filtering and analog-to-digital conversion processing of the analog signal, and provides reliable data for environmental impact assessment.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (4)
1. An environmental impact assessment method based on an atmospheric diffusion model is characterized by comprising the following steps:
the atmospheric diffusion model collects analog signals of pollutant concentration parameters of an environmental impact assessment area, and digital signals of the pretreated pollutant concentration parameters are obtained after pretreatment;
the atmospheric diffusion model analyzes the atmospheric diffusion condition of the pollutants by utilizing the pretreated digital signals of the pollutant concentration parameters to obtain a short-term concentration contribution value and a long-term concentration contribution value of each pollutant;
according to the short-term concentration contribution value and the long-term concentration contribution value, the maximum concentration occupation rate of each pollutant on the environmental influence is evaluated, and the conditions of reaching standards of daily average mass concentration and annual average mass concentration of each pollutant are obtained;
demarcating an environmental impact assessment area on a platform of an atmospheric diffusion model;
collecting a sample of the pollutant through an end sensor of a pollutant concentration detector in an environmental impact evaluation area to obtain an analog signal of the pollutant sample;
the analog signal is amplified by an operational amplifier to weak analog signal, noise interference is removed by a filter, and then digital signal of a pollutant sample is obtained through analog-to-digital conversion, and finally digital signal of pollutant concentration parameter is obtained;
receiving a digital signal of the pretreated pollutant concentration parameter;
distinguishing the digital signals according to short term and long term and analyzing the atmospheric diffusion condition of pollutants;
calculating to obtain a short-term concentration contribution value and a long-term concentration contribution value of each pollutant;
the removal of noise interference by the filter uses the following equation:
wherein x (i) represents an analog signal from which noise interference is removed, oc represents a weight component of the analog signal, and σ d Standard deviation sigma representing space domain Gaussian of analog signal s The standard deviation of the Gaussian in the frequency domain of the analog signal is represented, W (j) represents the weight of the analog signal, and f (j) represents the analog signal before filtering;
the short-term concentration contribution value of each pollutant is calculated as follows:
wherein A is 1 、A 2 、A 3 、A 4 And A 5 Respectively represent the short-term concentration contribution value of sulfur dioxide, nitrogen oxides, particulate pollutants, fluoride and lead compounds, alpha 1 、β 1 、γ 1 、δ 1 And epsilon 1 Respectively representing concentration values of sulfur dioxide, nitrogen oxides, granular pollutants, fluoride and lead compounds at the same time; the same time is 1h, 8h, 12h or 24h;
the calculation formula of the long-term concentration contribution value of each pollutant is as follows:
wherein B is 1 、B 2 、B 3 、B 4 And B 5 Respectively represent the long-term concentration contribution value of sulfur dioxide, nitrogen oxide, particulate pollutant, fluoride and lead compound, mu 1 、π 1 、ρ 1 、σ 1 And τ 1 Respectively representing concentration values of sulfur dioxide, nitrogen oxides, granular pollutants, fluoride and lead compounds in the same period; the same period is month, season or year.
2. The method for evaluating environmental impact based on an atmospheric diffusion model according to claim 1, wherein the collection of the contaminant sample is achieved by providing a number of contaminant concentration detectors arranged in a number of 4-5 per 100 square meters.
3. The method for evaluating environmental impact based on an atmospheric diffusion model according to claim 1, wherein noise interference is removed by a filter, the weight of the analog signal is calculated, and the spatial domain and the frequency domain of the analog signal are adaptively adjusted to remove noise.
4. An environmental impact assessment system based on an atmospheric diffusion model, comprising:
the parameter preprocessing module is used for acquiring analog signals of pollutant concentration parameters of the environmental impact evaluation area by the atmospheric diffusion model, and preprocessing the analog signals to obtain preprocessed digital signals of the pollutant concentration parameters;
the contribution value calculation module is used for analyzing the atmospheric diffusion condition of the pollutants by using the pretreated digital signals of the pollutant concentration parameters by the atmospheric diffusion model to obtain a short-term concentration contribution value and a long-term concentration contribution value of each pollutant;
the environmental impact evaluation module evaluates the maximum concentration occupation rate of each pollutant on the environmental impact according to the short-term concentration contribution value and the long-term concentration contribution value to obtain the standard condition of daily average mass concentration and annual average mass concentration of each pollutant;
the parameter preprocessing module comprises:
the amplifying processing sub-module is responsible for amplifying the weak analog signals by the operational amplifier;
the noise removing submodule is responsible for removing noise interference through a filter;
the analog-to-digital conversion sub-module is responsible for obtaining a digital signal of the pollutant sample through analog-to-digital conversion, and finally obtaining a digital signal of the pollutant concentration parameter;
the parameter preprocessing module is provided with a pollutant concentration detector, and the pollutant concentration detector is connected with an informationized instrument management module for realizing informationized management of the pollutant detector through a wireless connection;
the informationized instrument management module comprises:
the detector information management submodule is used for managing the receiving date, model, maintenance date and service life information of each pollutant concentration detector;
the performance detection sub-module is used for carrying out self-detection on the pollutant concentration detector according to the informationized instrument management system;
the fault alarm sub-module is connected with the detector information management sub-module and the performance detection sub-module, and when the pollutant concentration detector reaches the service life, the maintenance date or the self-detection failure, an alarm is sent out for replacement or maintenance;
the removal of noise interference by the filter uses the following equation:
wherein x (i) represents an analog signal from which noise interference is removed, oc represents a weight component of the analog signal, and σ d Standard deviation sigma representing space domain Gaussian of analog signal s Standard deviation of Gaussian representing analog signal frequency domain, W (j) represents weight of analog signalF (j) represents an analog signal before filtering;
the short-term concentration contribution value of each pollutant is calculated as follows:
wherein A is 1 、A 2 、A 3 、A 4 And A 5 Respectively represent the short-term concentration contribution value of sulfur dioxide, nitrogen oxides, particulate pollutants, fluoride and lead compounds, alpha 1 、β 1 、γ 1 、δ 1 And epsilon 1 Respectively representing concentration values of sulfur dioxide, nitrogen oxides, granular pollutants, fluoride and lead compounds at the same time; the same time is 1h, 8h, 12h or 24h;
the calculation formula of the long-term concentration contribution value of each pollutant is as follows:
wherein B is 1 、B 2 、B 3 、B 4 And B 5 Respectively represent the long-term concentration contribution value of sulfur dioxide, nitrogen oxide, particulate pollutant, fluoride and lead compound, mu 1 、π 1 、ρ 1 、σ 1 And τ 1 Respectively representing concentration values of sulfur dioxide, nitrogen oxides, granular pollutants, fluoride and lead compounds in the same period; the same period is month, season or year.
Priority Applications (1)
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| CN108181435A (en) * | 2018-01-29 | 2018-06-19 | 天津同阳科技发展有限公司 | Detection of Air Quality equipment |
| CN207923814U (en) * | 2018-01-30 | 2018-09-28 | 吴志国 | A kind of portable air pollution object concentration monitor instrument |
| CN111624306A (en) * | 2020-05-26 | 2020-09-04 | 浙江工业大学 | Miniature atmospheric multi-component detector |
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| CN108181435A (en) * | 2018-01-29 | 2018-06-19 | 天津同阳科技发展有限公司 | Detection of Air Quality equipment |
| CN207923814U (en) * | 2018-01-30 | 2018-09-28 | 吴志国 | A kind of portable air pollution object concentration monitor instrument |
| CN111624306A (en) * | 2020-05-26 | 2020-09-04 | 浙江工业大学 | Miniature atmospheric multi-component detector |
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| 利用AERMOD预测焦化行业大气环境影响实例分析;李冰晶 等;环境工程;第31卷(第5期);第156-160、131页 * |
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