Health risk assessment method and system for territorial space planning and compilation

Abstract

The invention relates to the technical field of noise management, and particularly discloses a health risk assessment method and system for territorial space planning compilation, and the method comprises the following steps: S1, determining a target building in a territorial space planning scheme, planning a target region according to the position of the target building, determining a noise source in the target region, and determining the noise source in the target region; determining the distance between the noise source and the position of the target building; s2, determining a target noise value and a judgment noise value; s3, coordinate points are generated and fitted to obtain a fitted curve; and calculating a health risk coefficient, obtaining a minimum health risk coefficient, and taking the territorial space planning scheme corresponding to the minimum health risk coefficient as an optimal scheme. The optimal scheme is determined based on the noise influence condition, and the negative influence caused by the noise is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of noise management, and in particular to a health risk assessment method and system for national land space planning. Background Art

[0002] The compilation of national land space planning refers to the process of systematically designing and arranging the rational use, protection and management of land and space resources within a country or region. It proposes the overall layout of rational development and utilization of land resources, ecological protection, infrastructure construction, and coordinated urban and rural development by scientifically analyzing and evaluating the natural conditions, resource endowments, and social and economic development needs of the region.

[0003] With the rapid development of science and technology and urbanization, noise pollution, as a part of environmental pollution, has gradually attracted widespread attention from all walks of life. In areas with a high degree of industrialization, the noise generated by human activities such as transportation, construction, and factory production has had a significant impact on the quality of life and health of residents. Long-term exposure to high-intensity noise environments will not only cause hearing loss, but may also cause cardiovascular disease, nervous system disorders and other health problems.

[0004] Reasonable national land space planning can solve the above problems. For example, in urban planning, industrial areas with high noise levels can be separated from residential areas to reduce the impact of noise on residents. However, in existing technologies, the process of selecting reasonable national land space planning mainly relies on manual methods, which rely too much on the personal experience of managers and may be affected by subjective factors, which is not scientific enough. Summary of the invention

[0005] The purpose of the present invention is to provide a health risk assessment method and system for national land space planning to solve the above-mentioned technical problems.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] A health risk assessment method for national land space planning includes the following steps:

[0008] S1: Determine the target building in the national land space planning scheme, the target building includes but is not limited to hospitals, schools and residential areas, take the location of the target building as the center of the circle, draw a circle with a preset radius r to obtain the target area, determine the noise source in the target area, and determine the distance D between the noise source and the location of the target building;

[0009] S2: Determine a target noise value Pmb=L(dck)-20log10(D / dck)-ΔP, where L(dck) represents the noise value at a position with a distance dck from the noise source, and ΔP is a preset noise correction value;

[0010] Determine the judgment noise value PPD = 10*log10(Ptot), where, A represents the total number of noise sources in the target area Pmbi represents the target noise value corresponding to the i-th noise source;

[0011] S3: Generate a coordinate point (b, PPDb), where PPDb represents the judgment noise value corresponding to the b-th time node, and fit the coordinate point to obtain a fitting curve f(t);

[0012] Calculate health risk factors [0, T] is the definition domain of the fitting curve, and the minimum health risk coefficient Kmin is obtained, and the national land space planning scheme corresponding to the minimum health risk coefficient is taken as the optimal scheme.

[0013] As a further solution of the present invention: in the step S1, the process of determining the noise source in the target area specifically includes:

[0014] Set m collection cycles, where m is a first preset number, and set n time nodes at equal time intervals in the collection cycles, where n is a second preset number;

[0015] A building that is not a target building in the national land space planning scheme is taken as an initial building, and the noise value emitted from a building with the same purpose as the initial building is collected at the time node, and the average noise value at the same time node is calculated. When the average noise value at a certain time node is greater than or equal to a preset value, the corresponding initial building is taken as a noise source.

[0016] As a further solution of the present invention: the noise value is acquired based on a sensor at a preset collection point, and the distance between the collection point and the building is dck.

[0017] As a further solution of the present invention: the process of calculating the average noise value at the same time node also includes the following steps:

[0018] Calculate the noise value difference Pcz=|Pjy-PPJy|, where PPJy represents the average noise value at the yth time node, and Pjy represents the noise value at the yth time node in the jth acquisition cycle;

[0019] When the noise value difference Pcz≥Pcz', Pjy is removed and the average noise value is calculated again, where Pcz' represents a preset noise value difference threshold.

[0020] As a further solution of the present invention: in the step S3, when the maximum noise value max(f(t))≥Pys, the corresponding national land space planning scheme does not participate in the subsequent steps, and Pys represents the preset maximum noise value threshold.

[0021] As a further solution of the present invention: in step S3, when there are two or more health risk coefficients that are the same and are the minimum health risk coefficients, the following steps are performed:

[0022] Obtain the maximum noise value, and take the national land space planning scheme corresponding to the smaller maximum noise value as the optimal scheme.

[0023] As a further solution of the present invention: in the step S3, when the minimum health risk coefficient is greater than or equal to a preset health risk coefficient threshold, an early warning message is sent to remind the management personnel.

[0024] A health risk assessment system for national land space planning, including:

[0025] Initial module: determine the target building in the national land space planning scheme, the target building includes but is not limited to hospitals, schools and residential areas, take the location of the target building as the center of the circle, draw a circle with a preset radius r to obtain the target area, determine the noise source in the target area, and determine the distance D between the noise source and the location of the target building;

[0026] Analysis module: Determine the target noise value Pmb=L(dck)-20log10(D / dck)-ΔP, where L(dck) represents the noise value at a position with a distance dck from the noise source, and ΔP is a preset noise correction value;

[0027] Determine the judgment noise value PPD = 10*log10(Ptot), where, A represents the total number of noise sources in the target area Pmbi represents the target noise value corresponding to the i-th noise source;

[0028] Evaluation module: Generate a coordinate point (b, PPDb), PPDb represents the judgment noise value corresponding to the b-th time node, and fit the coordinate point to obtain a fitting curve f(t);

[0029] Calculate health risk factors [0, T] is the definition domain of the fitting curve, and the minimum health risk coefficient Kmin is obtained, and the national land space planning scheme corresponding to the minimum health risk coefficient is taken as the optimal scheme.

[0030] Beneficial effects of the present invention: In the present invention, the target building in the national space planning scheme is first determined, that is, hospitals, schools and residential areas, etc., which can be specifically determined by the actual situation. Then, the target area is planned according to the location of the target building, the noise source in the target area is determined, and the distance between the noise source and the location of the target building is determined; it is worth noting that determining the target area is to reduce the amount of data that needs to be processed later, and the noise will gradually decay during the propagation process. Therefore, when setting a target area, only the noise source in the target area needs to be considered. Similarly, determining the distance between the noise source and the location of the target building is to determine the influence of each noise source on the location of the target building in the future, that is, to determine the noise value of the noise generated by the noise source after reaching the location of the target building; then determine the comprehensive influence of the noise source on the location of the target building, that is, to judge the noise value; finally generate a fitting curve, determine the health risk coefficient according to the fitting curve, and determine the optimal solution according to the health risk coefficient; it should be noted that the health risk coefficient is the total amount of noise impact within one day, and selecting the minimum health risk coefficient can ensure that the noise pollution is minimized. The present invention determines the optimal solution based on the noise impact situation and reduces the negative impact of noise. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The present invention will be further described below in conjunction with the accompanying drawings.

[0032] Figure 1 It is a flow chart of a health risk assessment method for national land space planning compiled by the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] See also Figure 1 As shown, the present invention is a health risk assessment method for land space planning, comprising the following steps:

[0035] S1: Determine the target building in the national land space planning scheme, the target building includes but is not limited to hospitals, schools and residential areas, take the location of the target building as the center of the circle, draw a circle with a preset radius r to obtain the target area, determine the noise source in the target area, and determine the distance D between the noise source and the location of the target building;

[0036] S2: Determine a target noise value Pmb=L(dck)-20log10(D / dck)-ΔP, where L(dck) represents the noise value at a position with a distance dck from the noise source, and ΔP is a preset noise correction value;

[0037] Determine the judgment noise value PPD = 10*log10(Ptot), where, A represents the total number of noise sources in the target area Pmbi represents the target noise value corresponding to the i-th noise source;

[0038] S3: Generate a coordinate point (b, PPDb), where PPDb represents the judgment noise value corresponding to the b-th time node, and fit the coordinate point to obtain a fitting curve f(t);

[0039] Calculate health risk factors [0, T] is the definition domain of the fitting curve, and the minimum health risk coefficient Kmin is obtained, and the national land space planning scheme corresponding to the minimum health risk coefficient is taken as the optimal scheme.

[0040] It should be noted that the target buildings in the national land space planning scheme, namely hospitals, schools and residential areas, etc., are first determined, which can be determined by actual conditions. Then, the target area is planned according to the location of the target building, the noise source in the target area is determined, and the distance between the noise source and the location of the target building is determined; it is worth noting that determining the target area is to reduce the amount of data that needs to be processed later. The noise will gradually attenuate during the propagation process. Therefore, when setting a target area, only the noise source in the target area needs to be considered. Similarly, determining the distance between the noise source and the location of the target building is to determine the impact of each noise source on the location of the target building in the future, that is, to determine the noise value of the noise generated by the noise source after reaching the location of the target building; then determine the comprehensive impact of the noise source on the location of the target building, that is, to judge the noise value; finally, generate a fitting curve, determine the health risk coefficient according to the fitting curve, and determine the optimal solution according to the health risk coefficient; it should be noted that the health risk coefficient is the total amount of noise impact within one day, and selecting the minimum health risk coefficient can ensure the minimum noise pollution.

[0041] In another preferred embodiment of the present invention, in step S1, the process of determining the noise source in the target area specifically includes:

[0042] Set m collection cycles, where m is a first preset number, and set n time nodes at equal time intervals in the collection cycles, where n is a second preset number;

[0043] A building that is not a target building in the national land space planning scheme is taken as an initial building, and the noise value emitted from a building with the same purpose as the initial building is collected at the time node, and the average noise value at the same time node is calculated. When the average noise value at a certain time node is greater than or equal to a preset value, the corresponding initial building is taken as a noise source.

[0044] It is worth noting that by setting multiple collection cycles and time nodes, the noise generated by buildings with different purposes can be captured more comprehensively; by calculating the average value, the main noise source can be accurately identified without being disturbed by accidental noise; finally, by comparing buildings with the same purpose, the reliability and comparability of the data can be ensured, thereby screening out the noise sources that affect the target building and providing a more accurate data basis for subsequent noise impact assessment.

[0045] In another preferred embodiment of the present invention, the noise value is acquired based on a sensor at a preset collection point, and the distance between the collection point and the building is dck.

[0046] In another preferred embodiment of the present invention, the process of calculating the average noise value at the same time node further includes the following steps:

[0047] Calculate the noise value difference Pcz=|Pjy-PPJy|, where PPJy represents the average noise value at the yth time node, and Pjy represents the noise value at the yth time node in the jth acquisition cycle;

[0048] When the noise value difference Pcz≥Pcz', Pjy is removed and the average noise value is calculated again, where Pcz' represents a preset noise value difference threshold.

[0049] It should be noted that by calculating the difference to detect outliers in the noise data, those values ​​that do not meet the normal noise level are eliminated to ensure that the final average noise value is more stable and accurate, thereby improving the overall reliability of noise assessment, avoiding distortion caused by accidental events or abnormal data during the noise assessment process, and making noise source identification more scientific and reasonable.

[0050] In another preferred embodiment of the present invention, in step S3, when the maximum noise value max(f(t))≥Pys, the corresponding national land space planning scheme does not participate in subsequent steps, and Pys represents the preset maximum noise value threshold.

[0051] It should be noted that the purpose of setting a maximum noise value threshold and excluding options that exceed the standard is to simplify the evaluation process and ensure that only options with compliant noise levels are considered in subsequent steps, thereby improving processing efficiency and ensuring that noise control standards are strictly enforced. It also ensures that the final selected option has the least negative impact on the environment and health.

[0052] In another preferred embodiment of the present invention, in step S3, when there are two or more health risk coefficients that are the same and are the minimum health risk coefficients, the following steps are performed:

[0053] Obtain the maximum noise value, and take the national land space planning scheme corresponding to the smaller maximum noise value as the optimal scheme.

[0054] It is understandable that when the health risk factors are the same, by comparing the maximum noise values, we can further accurately select the plan with a lower noise peak value, avoid the negative impact of extreme noise on residents' quality of life and health, and select the plan with a smaller maximum noise value as the optimal plan, which can ensure that the noise environment will not be high during certain periods of time, ensuring the superiority of the planning scheme in noise control.

[0055] In another preferred embodiment of the present invention, in step S3, when the minimum health risk coefficient is greater than or equal to a preset health risk coefficient threshold, an early warning message is sent to remind the management personnel.

[0056] It is worth noting that

[0057] A health risk assessment system for national land space planning, including:

[0058] Initial module: determine the target building in the national land space planning scheme, the target building includes but is not limited to hospitals, schools and residential areas, take the location of the target building as the center of the circle, draw a circle with a preset radius r to obtain the target area, determine the noise source in the target area, and determine the distance D between the noise source and the location of the target building;

[0059] Analysis module: Determine the target noise value Pmb=L(dck)-20log10(D / dck)-ΔP, where L(dck) represents the noise value at a position with a distance dck from the noise source, and ΔP is a preset noise correction value;

[0060] Determine the judgment noise value PPD = 10*log10(Ptot), where, A represents the total number of noise sources in the target area Pmbi represents the target noise value corresponding to the i-th noise source;

[0061] Evaluation module: Generate a coordinate point (b, PPDb), PPDb represents the judgment noise value corresponding to the b-th time node, and fit the coordinate point to obtain a fitting curve f(t);

[0062] Calculate health risk factors [0, T] is the definition domain of the fitting curve, and the minimum health risk coefficient Kmin is obtained, and the national land space planning scheme corresponding to the minimum health risk coefficient is taken as the optimal scheme.

[0063] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.

Claims

1. A health risk assessment method for national land space planning, characterized in that: The following steps are involved: S1: Determine the target building in the national land space planning scheme, the target building includes but is not limited to hospitals, schools and residential areas, take the location of the target building as the center of the circle, draw a circle with a preset radius r to obtain the target area, determine the noise source in the target area, and determine the distance D between the noise source and the location of the target building; S2: Determine a target noise value Pmb=L(dck)-20log10(D / dck)-ΔP, where L(dck) represents the noise value at a position with a distance dck from the noise source, and ΔP is a preset noise correction value; Determine the judgment noise value PPD = 10*log10(Ptot), where, A represents the total number of noise sources in the target area Pmb i represents the target noise value corresponding to the i-th noise source; S3: Generate a coordinate point (b, PPDb), where PPDb represents the judgment noise value corresponding to the b-th time node, and fit the coordinate point to obtain a fitting curve f(t); Calculate health risk factors [0, T] is the definition domain of the fitting curve, and the minimum health risk coefficient Kmin is obtained, and the national land space planning scheme corresponding to the minimum health risk coefficient is taken as the optimal scheme.

2. According to the method for health risk assessment of national land space planning in claim 1, it is characterized in that: In step S1, the process of determining the noise source in the target area specifically includes: Set m collection cycles, where m is a first preset number, and set n time nodes at equal time intervals in the collection cycles, where n is a second preset number; A building that is not a target building in the national land space planning scheme is taken as an initial building, and the noise value emitted from a building with the same purpose as the initial building is collected at the time node, and the average noise value at the same time node is calculated. When the average noise value at a certain time node is greater than or equal to a preset value, the corresponding initial building is taken as a noise source.

3. The method for health risk assessment in national land space planning according to claim 2 is characterized in that: The noise value is obtained based on the sensor at the preset collection point, and the distance between the collection point and the building is dck.

4. The method for health risk assessment in national land space planning according to claim 2 is characterized in that: The process of calculating the average noise value at the same time node also includes the following steps: Calculate the noise value difference Pcz = |Pj y -PPJ y |,PPJ y represents the average noise value at the yth time node, Pj y represents the noise value at the yth time node in the jth acquisition cycle; When the noise value difference Pcz ≥ Pcz', remove Pj y The average noise value is calculated again, and Pcz' represents the preset noise value difference threshold.

5. The method for health risk assessment in national land space planning according to claim 1 is characterized in that: In the step S3, when the maximum noise value max(f(t))≥Pys, the corresponding national land space planning scheme does not participate in the subsequent steps, and Pys represents the preset maximum noise value threshold.

6. The method for health risk assessment in national land space planning according to claim 5 is characterized in that: In step S3, when there are two or more health risk coefficients that are the same and are the minimum health risk coefficients, the following steps are performed: Obtain the maximum noise value, and take the national land space planning scheme corresponding to the smaller maximum noise value as the optimal scheme.

7. The method for health risk assessment in national land space planning according to claim 1 is characterized in that: In step S3, when the minimum health risk coefficient is greater than or equal to a preset health risk coefficient threshold, an early warning message is sent to remind the management personnel.

8. A health risk assessment system for national land space planning, characterized in that: include: Initial module: determine the target building in the national land space planning scheme, the target building includes but is not limited to hospitals, schools and residential areas, take the location of the target building as the center of the circle, draw a circle with a preset radius r to obtain the target area, determine the noise source in the target area, and determine the distance D between the noise source and the location of the target building; Analysis module: Determine the target noise value Pmb=L(dck)-20log10(D / dck)-ΔP, where L(dck) represents the noise value at a position with a distance dck from the noise source, and ΔP is a preset noise correction value; Determine the noise value PPD = 10*log 10 (Ptot), where A represents the total number of noise sources in the target area Pmb i represents the target noise value corresponding to the i-th noise source; Evaluation module: Generate coordinate points (b, PPD b ), PPD b represents the judgment noise value corresponding to the b-th time node, and the coordinate points are fitted to obtain a fitting curve f(t); Calculate health risk factors [0, T] is the definition domain of the fitting curve, and the minimum health risk coefficient Kmin is obtained, and the national land space planning scheme corresponding to the minimum health risk coefficient is taken as the optimal scheme.

Images