A method and system for assessing environmental health co-benefits

Abstract

The application discloses a kind of environmental health synergistic benefit evaluation method and system, comprising: obtaining environmental health synergistic benefit evaluation data;According to environmental health synergistic benefit evaluation data, simulate future energy consumption;According to environmental health synergistic benefit evaluation data, simulate pollutant concentration distribution with atmospheric transmission model;According to pollutant concentration distribution and environmental health synergistic benefit evaluation data, simulate pollutant related disease incidence with exposure-response model;With future energy consumption and pollutant related disease incidence as environmental health synergistic benefit evaluation result.The application can simulate the complex relationship between economic activity, energy use, emission, air quality and population health impact by calculating future energy consumption and using atmospheric transmission model to simulate pollutant concentration distribution and exposure-response model to calculate pollutant related disease incidence, which can provide scientific basis for formulating guidelines, and help achieve the synergistic benefits of energy transition, environmental improvement and public health improvement.

Description

Technical Field

[0001] This invention relates to the interdisciplinary field of environmental science and energy adjustment measures assessment, specifically to a method and system for assessing the synergistic benefits of environmental health. Background Technology

[0002] To control air pollutant emissions, various regions are promoting low-carbon transformation of their energy and industrial structures. However, some studies suggest that industrial restructuring may hinder local economic development, increase supply chain costs, restrict manufacturing upgrades, and may even increase energy consumption and pollutant emissions in enterprise production. Therefore, to avoid overly simplistic energy transitions and industrial restructuring, it is necessary to clarify the non-linear relationship between energy transitions, industrial restructuring, and environmental health, and to promote energy transitions and industrial restructuring in a more scientific manner.

[0003] Currently, most related studies focus on analyzing the impact of a single emission reduction path or adjustment measure on emission reduction targets, lacking quantitative assessments of the environmental, health, and socio-economic impacts of combinations of multiple measures, as well as the health and environmental impacts of different energy transition and industrial restructuring measures. Summary of the Invention

[0004] To address the problem that existing environmental health-related research often focuses on analyzing the impact of single emission reduction pathways or adjustment measures on emission reduction targets, lacking quantitative assessments of the environmental, health, and socio-economic impacts of combinations of various adjustment measures, and assessments of the health and environmental impacts of different energy transition and industrial restructuring adjustment measures, this invention provides a method and system for assessing the synergistic benefits of environmental health.

[0005] The technical solution provided by this invention is:

[0006] Obtain data on the synergistic benefits of environmental health assessment;

[0007] Based on the aforementioned environmental health synergy benefit assessment data, simulate future energy consumption;

[0008] Based on the aforementioned environmental health synergy benefit assessment data, the atmospheric transport model was used to simulate the pollutant concentration distribution;

[0009] Based on the pollutant concentration distribution and the aforementioned environmental health synergy assessment data, the incidence of pollutant-related diseases was simulated using an exposure-response model.

[0010] The future energy consumption and the incidence of pollutant-related diseases are used as the results of the environmental health synergy assessment.

[0011] Preferably, the environmental health synergy benefit assessment data includes at least one or more of the following:

[0012] Health-related data, or the activity level, energy intensity, pollutant emissions, or emission factors of an organization's and its operational resource system;

[0013] The organizational operational resource system includes departments, equipment, or fuel;

[0014] The health-related data include at least one or more of the following: health outcomes of different types of pollutant-related disease cases, age groups, relative risk coefficients of exposed health outcomes, baseline incidence rates of exposed health outcomes, total population size, and the proportion of people with different types of health outcomes in the total population.

[0015] Preferably, the future energy consumption is determined by the following formula:

[0016]

[0017] Where EC represents future energy consumption, AL represents the activity level of different sectors, equipment, or fuels, EI represents the energy intensity of different sectors, equipment, or fuels, i represents the sector, j represents the equipment, and k represents the fuel.

[0018] Preferably, the step of simulating pollutant concentration distribution using an atmospheric transport model based on the environmental health synergy benefit assessment data includes:

[0019] Calculate pollutant emissions based on the aforementioned environmental health synergy benefit assessment data;

[0020] The pollutant emissions were generated into a gridded pollutant emission inventory using GIS spatial analysis tools.

[0021] Based on the gridded pollutant emission inventory, an atmospheric transport model is used to simulate the pollutant concentration distribution.

[0022] Preferably, the pollutant emission amount is determined by the following formula:

[0023]

[0024] Where PE represents pollutant emissions, AL represents the activity level of different sectors, equipment or fuels, EMI represents the emission factor of different sectors, equipment or fuels, i represents sector, j represents equipment, and k represents fuel.

[0025] Preferably, the incidence rate of pollutant-related diseases includes the incidence rate of pollutant-related acute diseases and the incidence rate of pollutant-related chronic diseases.

[0026] Preferably, the incidence rate of the pollutant-related acute illness is determined by the following formula:

[0027]

[0028] in, Here, n represents the incidence rate of pollutant-related acute illnesses, n represents the health outcomes of different types of pollutant-related illness cases, a represents the age group, and C represents the incidence rate of pollutant-related acute illnesses. a For the pollutant concentration distribution, R(C) a F represents the relative risk factor for health outcomes. n To determine the baseline incidence of health outcomes, P n This represents the total population.

[0029] Preferably, the incidence rate of pollutant-related chronic diseases is determined by the following formula:

[0030]

[0031] in, The denominator is the incidence rate of pollutant-related chronic diseases, n represents the health outcomes of different types of pollutant-related disease cases, a represents the age group, and C represents the incidence rate of pollutant-related chronic diseases. a For the pollutant concentration distribution, R(C) a F represents the relative risk factor for exposure to health outcomes. n To determine the baseline incidence of health outcomes, P n D represents the total population. n The proportion of people in the total population who have different types of health outcomes.

[0032] Based on the same inventive concept, the present invention also provides an environmental health synergy benefit assessment system, comprising: an assessment data acquisition module, a future energy consumption simulation module, a pollutant concentration distribution simulation module, a pollutant-related disease incidence simulation module, and a final assessment result generation module;

[0033] The data acquisition module is used to acquire data for assessing the synergistic benefits of environmental health.

[0034] Module for simulating future energy consumption: Used to simulate future energy consumption based on the environmental health synergy benefit assessment data;

[0035] Module for simulating pollutant concentration distribution: This module is used to simulate pollutant concentration distribution using an atmospheric transport model based on the environmental health synergy benefit assessment data.

[0036] The module for simulating the incidence of pollutant-related diseases is used to simulate the incidence of pollutant-related diseases based on the pollutant concentration distribution and the environmental health synergy assessment data, using an exposure-response model.

[0037] The module for obtaining the final assessment results is used to assess the synergistic benefits of environmental health based on the future energy consumption and the incidence of pollutant-related diseases.

[0038] Preferably, the environmental health synergy benefit assessment data of the assessment data acquisition module includes at least one or more of the following:

[0039] Health-related data, or the activity level, energy intensity, pollutant emissions, or emission factors of an organization's and its operational resource system;

[0040] The organizational operational resource system includes departments, equipment, or fuel;

[0041] The health-related data include at least one or more of the following: health outcomes of different types of pollutant-related disease cases, age groups, relative risk coefficients of exposed health outcomes, baseline incidence rates of exposed health outcomes, total population size, and the proportion of people with different types of health outcomes in the total population.

[0042] Preferably, the future energy consumption of the simulated future energy consumption module is determined by the following formula:

[0043]

[0044] Where EC represents future energy consumption, AL represents the activity level of different sectors, equipment, or fuels, EI represents the energy intensity of different sectors, equipment, or fuels, i represents the sector, j represents the equipment, and k represents the fuel.

[0045] Preferably, the simulated pollutant concentration distribution module is specifically used for:

[0046] Calculate pollutant emissions based on the aforementioned environmental health synergy benefit assessment data;

[0047] The pollutant emissions were generated into a gridded pollutant emission inventory using GIS spatial analysis tools.

[0048] Based on the gridded pollutant emission inventory, an atmospheric transport model is used to simulate the pollutant concentration distribution.

[0049] Preferably, the pollutant emission amount of the simulated pollutant concentration distribution module is determined by the following formula:

[0050]

[0051] Where PE represents pollutant emissions, AL represents the activity level of different sectors, equipment or fuels, EMI represents the emission factor of different sectors, equipment or fuels, i represents sector, j represents equipment, and k represents fuel.

[0052] Preferably, the pollutant-related disease incidence rate of the module that obtains the final evaluation results includes the incidence rate of pollutant-related acute diseases and the incidence rate of pollutant-related chronic diseases.

[0053] Preferably, the incidence rate of pollutant-related acute diseases in the module that yields the final evaluation results is determined by the following formula:

[0054]

[0055] in, Here, n represents the incidence rate of pollutant-related acute illnesses, n represents the health outcomes of different types of pollutant-related illness cases, a represents the age group, and C represents the incidence rate of pollutant-related acute illnesses. a For the pollutant concentration distribution, R(C) a F represents the relative risk factor for exposure to health outcomes. n To determine the baseline incidence of health outcomes, P n This represents the total population.

[0056] Preferably, the incidence rate of pollutant-related chronic diseases in the module that obtains the final evaluation results is determined by the following formula:

[0057]

[0058] in, The denominator is the incidence rate of pollutant-related chronic diseases, n represents the health outcomes of different types of pollutant-related disease cases, a represents the age group, and C represents the incidence rate of pollutant-related chronic diseases. a For the pollutant concentration distribution, R(C) a F represents the relative risk factor for exposure to health outcomes. n To determine the baseline incidence of health outcomes, P n D represents the total population. n The proportion of people in the total population who have different types of health outcomes.

[0059] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0060] This invention provides a method and system for assessing the synergistic benefits of environmental health. The method involves acquiring environmental health synergistic benefit assessment data; simulating future energy consumption based on this data; simulating pollutant concentration distribution using an atmospheric transport model based on the same data; simulating the incidence of pollutant-related diseases using an exposure-response model based on the pollutant concentration distribution and the assessment data; and using the future energy consumption and the incidence of pollutant-related diseases as the assessment results. This invention, by calculating future energy consumption and using an atmospheric transport model to simulate pollutant concentration distribution and an exposure-response model to calculate the incidence of pollutant-related diseases, can simulate the complex relationships between economic activities, energy use, emissions, air quality, and public health impacts. This provides a scientific basis for policy formulation and helps achieve the synergistic benefits of energy transition, environmental improvement, and public health enhancement. Attached Figure Description

[0061] Figure 1 This is a flowchart of an environmental health synergy benefit assessment method according to the present invention;

[0062] Figure 2 This is a schematic diagram illustrating a specific example of an environmental health synergy benefit assessment method according to the present invention.

[0063] Figure 3 This is a schematic diagram of an environmental health synergy benefit assessment system according to the present invention. Detailed Implementation

[0064] The specific embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0065] Example 1:

[0066] This invention provides a method for assessing the synergistic benefits of environmental health, the flowchart of which is shown below. Figure 1 As shown, it includes:

[0067] S1. Obtain environmental health synergy benefit assessment data;

[0068] S2. Simulate future energy consumption based on the environmental health synergy benefit assessment data;

[0069] S3. Based on the environmental health synergy benefit assessment data, simulate the pollutant concentration distribution using an atmospheric transport model;

[0070] S4. Based on the pollutant concentration distribution and the aforementioned environmental health synergy benefit assessment data, use an exposure-response model to simulate the incidence of pollutant-related diseases;

[0071] S5. The future energy consumption and the incidence of pollutant-related diseases are used as the results of the environmental health synergy assessment.

[0072] Step S1 specifically includes: obtaining relevant data on the economy, energy, electricity, and product output. This includes obtaining historical data on national GDP, energy and electricity consumption, and national and regional product output.

[0073] Step S2 specifically includes: simulating the future development of energy and electricity. Based on the 2017 China regional input-output table and the 2017 national energy balance sheet, a computable general equilibrium model is used to simulate energy and electricity, characterizing regional industrial development characteristics, energy production and consumption structure, etc., and reflecting the impact of technological progress and adjustment measures.

[0074] Energy consumption:

[0075]

[0076] Where EC represents energy consumption, AL represents activity level, EI represents energy intensity, and i, j, and k represent different sectors, equipment, and fuels, respectively.

[0077] Step S3 specifically includes: constructing a pollutant emission inventory. According to the "Technical Guidelines for Compiling Integrated Emission Inventories of Air Pollutants and Greenhouse Gases (Trial)" (Environmental Office Air Quality Letter

[2024] No. 28), based on the differences in the generation mechanisms and emission characteristics of air pollutants and greenhouse gases, each type of emission source is divided into four levels according to industry, fuel / raw material / product, process technology, and end-of-pipe control technology. The fourth level serves as the basic calculation unit for compiling the integrated inventory. The emission factor method is mainly used for calculation. The first level is the major category of emission sources in the inventory, mainly divided into seven categories: stationary combustion sources, industrial process sources, mobile sources, solvent product use sources, fuel distribution and storage sources, agricultural process sources, and other emission sources. The second level contains specific industry information under each major category of emission sources, such as industrial process sources including industries like steel and cement. The third level reflects specific information on fuels, products, and raw materials within the industry, such as the steel industry including pig iron, crude steel, and steel products. The fourth level is the most basic calculation unit of the inventory model, reflecting specific information on the emission source's combustion technology, production process, and usage, such as crude steel production including converter steelmaking and electric arc furnace steelmaking processes.

[0078] The emissions of various pollutants were calculated and classified, resulting in a calculation unit based on Level 4, covering 10 major air pollutants and greenhouse gases (SO2, NO ... x Emissions of air pollutants (CO, NMVOC, NH3, CO2, PM2.5, PM10, BC and OC).

[0079] Pollutant emissions:

[0080]

[0081] Where PE represents pollutant emissions, AL represents activity level, EMI represents emission factor, and i, j, and k represent different sectors, equipment, and fuels, respectively.

[0082] Using GIS spatial analysis tools, pollutant emissions are spatially allocated to create a gridded emission inventory. The spatial allocation module refers to establishing horizontal and vertical emission allocation methods for point sources and area sources, distributing emissions to a three-dimensional grid. For point sources with clearly defined latitude and longitude, emissions are directly allocated to the corresponding grid; for area sources, residential emissions are allocated using population density data, biomass combustion emissions are allocated using land use type, and other industrial emissions are allocated using GDP.

[0083] Simulate pollutant concentration distribution. Gridded atmospheric pollutant emissions are input into the atmospheric transport model to simulate pollutant concentration distribution. Ambient air quality is simulated using the third-generation air quality forecasting and assessment system (CMAQ) developed by the U.S. Environmental Protection Agency (USEPA). Weather forecasting models (WRF) are used to simulate meteorological conditions within the simulation area, which are then used as input data for CMAQ.

[0084] Using response surface modeling to simulate atmospheric transport processes:

[0085]

[0086] Where: C a For the pollutant concentration distribution; X1, X2, ..., X m SO2, NO x Emissions of pollutants such as CO, NMVOC, NH3, CO2, PM2.5, PM10, BC, or OC, β0, β1, β2, ..., β (m-1)m These are the model parameters, including the intercept, linear term, quadratic term, and interaction term coefficients; m is the number of terms, and ε is the error term, representing the random variation that the model fails to explain.

[0087] Step S4 specifically includes:

[0088] The study assesses the environmental health effects by simulating economic activities generated by residents' demand for health services, as well as pollutant-related diseases and premature deaths.

[0089] For the incidence rate calculation method, an exposure-response function is established.

[0090]

[0091] in, This is an acute exposure case. For chronic exposure cases, n represents different types of health outcomes, j represents the age group, and R(C) represents the incidence rate. a C represents the relative risk factor for exposure to health outcomes. a For pollutant concentration distribution, 1-1 / R(C a ) represents the population attributable risk, indicating the percentage of the total population who develop the disease due to exposure; F n To determine the baseline incidence of health outcomes, P n For the population, D n Let n be the proportion of group n in the total population.

[0092] A specific example of an environmental health synergy benefit assessment is as follows: Figure 2 As shown:

[0093] It acquires historical data on national GDP, energy and electricity, and national and regional product output, and performs preprocessing such as removing duplicate data, handling missing values, and handling outliers.

[0094] By using general equilibrium models to simulate energy, electricity, and carbon emissions, we can depict the characteristics of regional industrial development, energy production and consumption structure, and reflect the impact of technological progress and adjustment measures.

[0095] Construct a pollutant emission inventory, obtain various pollutant emission factors, and obtain the atmospheric pollutant emissions at a spatial grid scale.

[0096] The gridded atmospheric pollutant emissions are input into the atmospheric transport model to simulate the pollutant concentration distribution.

[0097] An environmental health effect assessment will be conducted based on the above information.

[0098] Example 2:

[0099] Based on the same inventive concept, this invention also provides an environmental health synergy benefit assessment system, such as... Figure 3 As shown, it includes: a module for acquiring assessment data, a module for simulating future energy consumption, a module for simulating pollutant concentration distribution, a module for simulating the incidence of pollutant-related diseases, and a module for deriving the final assessment results;

[0100] The data acquisition module is used to acquire data for assessing the synergistic benefits of environmental health.

[0101] Module for simulating future energy consumption: Used to simulate future energy consumption based on the environmental health synergy benefit assessment data;

[0102] Module for simulating pollutant concentration distribution: This module is used to simulate pollutant concentration distribution using an atmospheric transport model based on the environmental health synergy benefit assessment data.

[0103] The module for simulating the incidence of pollutant-related diseases is used to simulate the incidence of pollutant-related diseases based on the pollutant concentration distribution and the environmental health synergy assessment data, using an exposure-response model.

[0104] The module for obtaining the final assessment results is used to assess the synergistic benefits of environmental health based on the future energy consumption and the incidence of pollutant-related diseases.

[0105] Preferably, the environmental health synergy benefit assessment data of the assessment data acquisition module includes at least one or more of the following:

[0106] Health-related data, or the activity level, energy intensity, pollutant emissions, or emission factors of an organization's and its operational resource system;

[0107] The organizational operational resource system includes departments, equipment, or fuel;

[0108] The health-related data include at least one or more of the following: health outcomes of different types of pollutant-related disease cases, age groups, relative risk coefficients of exposed health outcomes, baseline incidence rates of exposed health outcomes, total population size, and the proportion of people with different types of health outcomes in the total population.

[0109] Preferably, the future energy consumption of the simulated future energy consumption module is determined by the following formula:

[0110]

[0111] Where EC represents future energy consumption, AL represents the activity level of different sectors, equipment, or fuels, EI represents the energy intensity of different sectors, equipment, or fuels, i represents the sector, j represents the equipment, and k represents the fuel.

[0112] Preferably, the simulated pollutant concentration distribution module is specifically used for:

[0113] Calculate pollutant emissions based on the aforementioned environmental health synergy benefit assessment data;

[0114] The pollutant emissions were generated into a gridded pollutant emission inventory using GIS spatial analysis tools.

[0115] Based on the gridded pollutant emission inventory, an atmospheric transport model is used to simulate the pollutant concentration distribution.

[0116] Preferably, the pollutant emission amount of the simulated pollutant concentration distribution module is determined by the following formula:

[0117]

[0118] Where PE represents pollutant emissions, AL represents the activity level of different sectors, equipment or fuels, EMI represents the emission factor of different sectors, equipment or fuels, i represents sector, j represents equipment, and k represents fuel.

[0119] Preferably, the pollutant-related disease incidence rate of the module that obtains the final evaluation results includes the incidence rate of pollutant-related acute diseases and the incidence rate of pollutant-related chronic diseases.

[0120] Preferably, the incidence rate of pollutant-related acute diseases in the module that yields the final evaluation results is determined by the following formula:

[0121]

[0122] in, Here, n represents the incidence rate of pollutant-related acute illnesses, n represents the health outcomes of different types of pollutant-related illness cases, a represents the age group, and C represents the incidence rate of pollutant-related acute illnesses. a For the pollutant concentration distribution, R(C) a F represents the relative risk factor for exposure to health outcomes. n To determine the baseline incidence of health outcomes, P n This represents the total population.

[0123] Preferably, the incidence rate of pollutant-related chronic diseases in the module that obtains the final evaluation results is determined by the following formula:

[0124]

[0125] in, The denominator is the incidence rate of pollutant-related chronic diseases, n represents the health outcomes of different types of pollutant-related disease cases, a represents the age group, and C represents the incidence rate of pollutant-related chronic diseases. a For the pollutant concentration distribution, R(C) a F represents the relative risk factor for exposure to health outcomes. n To determine the baseline incidence of health outcomes, P n D represents the total population. n The proportion of people in the total population who have different types of health outcomes.

[0126] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, systems, or computer program products. Therefore, the present invention can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present invention can take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0127] This invention is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0128] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0129] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0130] The above are merely embodiments of the present invention and are not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention are included within the scope of the claims of the present invention pending approval.

Claims

1. A method for evaluating the synergistic benefits of environmental health, characterized in that, include: Obtain data on the synergistic benefits of environmental health assessment; Based on the aforementioned environmental health synergy benefit assessment data, simulate future energy consumption; Based on the aforementioned environmental health synergy benefit assessment data, the atmospheric transport model was used to simulate the pollutant concentration distribution; Based on the pollutant concentration distribution and the aforementioned environmental health synergy assessment data, the incidence of pollutant-related diseases was simulated using an exposure-response model. The future energy consumption and the incidence of pollutant-related diseases are used as the results of the environmental health synergy assessment.

2. The method as described in claim 1, characterized in that, The environmental health synergy benefit assessment data includes at least one or more of the following: Health-related data, or the activity level, energy intensity, pollutant emissions, or emission factors of an organization's and its operational resource system; The organizational operational resource system includes departments, equipment, or fuel; The health-related data include at least one or more of the following: health outcomes of different types of pollutant-related disease cases, age groups, relative risk coefficients of exposed health outcomes, baseline incidence rates of exposed health outcomes, total population size, and the proportion of people with different types of health outcomes in the total population.

3. The method as described in claim 1, characterized in that, The future energy consumption is determined by the following formula: Where EC represents future energy consumption, AL represents the activity level of different sectors, equipment, or fuels, EI represents the energy intensity of different sectors, equipment, or fuels, i represents the sector, j represents the equipment, and k represents the fuel.

4. The method as described in claim 1, characterized in that, The step of simulating pollutant concentration distribution using an atmospheric transport model based on the environmental health synergy benefit assessment data includes: Calculate pollutant emissions based on the aforementioned environmental health synergy benefit assessment data; The pollutant emissions were generated into a gridded pollutant emission inventory using GIS spatial analysis tools. Based on the gridded pollutant emission inventory, an atmospheric transport model is used to simulate the pollutant concentration distribution.

5. The method as described in claim 4, characterized in that, The amount of pollutant emissions is determined by the following formula: Where PE represents pollutant emissions, AL represents the activity level of different sectors, equipment or fuels, EMI represents the emission factor of different sectors, equipment or fuels, i represents sector, j represents equipment, and k represents fuel.

6. The method as described in claim 1, characterized in that, The incidence rate of pollutant-related diseases includes the incidence rate of pollutant-related acute diseases and the incidence rate of pollutant-related chronic diseases.

7. The method as described in claim 6, characterized in that, The incidence rate of pollutant-related acute illnesses is determined by the following formula: in, Here, n represents the incidence rate of pollutant-related acute illnesses, n represents the health outcomes of different types of pollutant-related illness cases, a represents the age group, and C represents the incidence rate of pollutant-related acute illnesses. a For the pollutant concentration distribution, R(C) a F represents the relative risk factor for health outcomes. n To determine the baseline incidence of health outcomes, P n This represents the total population.

8. The method as described in claim 6, characterized in that, The incidence rate of pollutant-related chronic diseases is determined by the following formula: in, The denominator is the incidence rate of pollutant-related chronic diseases, n represents the health outcomes of different types of pollutant-related disease cases, a represents the age group, and C represents the incidence rate of pollutant-related chronic diseases. a For the pollutant concentration distribution, R(C) a F represents the relative risk factor for health outcomes. n To determine the baseline incidence of health outcomes, P n D represents the total population. n The proportion of people in the total population who have different types of health outcomes.

9. An environmental health synergy benefit assessment system, characterized in that, include: The system includes modules for acquiring assessment data, simulating future energy consumption, simulating pollutant concentration distribution, simulating the incidence of pollutant-related diseases, and deriving the final assessment results. The data acquisition module is used to acquire data for assessing the synergistic benefits of environmental health. Module for simulating future energy consumption: Used to simulate future energy consumption based on the environmental health synergy benefit assessment data; Module for simulating pollutant concentration distribution: This module is used to simulate pollutant concentration distribution using an atmospheric transport model based on the environmental health synergy benefit assessment data. The module for simulating the incidence of pollutant-related diseases is used to simulate the incidence of pollutant-related diseases based on the pollutant concentration distribution and the environmental health synergy assessment data, using an exposure-response model. The module for obtaining the final assessment results is used to assess the synergistic benefits of environmental health based on the future energy consumption and the incidence of pollutant-related diseases.

10. The system as described in claim 9, characterized in that, The environmental health synergy benefit assessment data obtained by the assessment data acquisition module includes at least one or more of the following: Health-related data, or the activity level, energy intensity, pollutant emissions, or emission factors of an organization's and its operational resource system; The organizational operational resource system includes departments, equipment, or fuel; The health-related data include at least one or more of the following: health outcomes of different types of pollutant-related disease cases, age groups, relative risk coefficients of exposed health outcomes, baseline incidence rates of exposed health outcomes, total population size, and the proportion of people with different types of health outcomes in the total population.

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