Sea breeze horizontal flow benefit evaluation method and system

Abstract

The present application relates to a kind of sea wind advection benefit evaluation method and system, wherein sea wind advection benefit evaluation method includes the following steps: S1. Construct high-precision gridded multi-parameter coupled urban meteorological model, output includes air temperature, humidity, wind speed and high-frequency meteorological parameters of surface total solar radiation;S2. Based on high-frequency meteorological parameters, reconstruct the high-resolution spatial and temporal field of outdoor heat stress index;S3. Based on the heat balance mechanism of urban three-dimensional space, total heat and water vapor budget are decoupled into three physical driving processes of advection transport, turbulent diffusion and artificial heat emission, extract the net advection sensible heat flux and net advection latent heat flux of sea wind advection;S4. Based on numerical differentiation method, nonlinear extraction of outdoor heat stress index on sensible heat and latent heat sensitivity weight coefficient;The present application solves the problem that traditional evaluation result and health net benefit are disconnected from two dimensions of bottom flux decoupling and human sensitivity weighting, realizes the accurate quantification of sea wind advection health net benefit.

Description

Technical Field

[0001] This invention relates to the field of urban microclimate regulation technology, specifically to a method and system for evaluating the benefits of sea breeze advection. Background Technology

[0002] In the field of urban environmental planning and microclimate regulation, the main principles and structure of the evaluation method for the utilization of sea breeze resources in coastal cities typically include two core modules: a meteorological state monitoring and simulation module and a physical index evaluation module. In specific applications, the microclimate state data, such as the temperature drop and wind speed improvement after the introduction of sea breezes into the city, are first obtained through on-site meteorological stations or numerical models such as computational fluid dynamics. Subsequently, based on these meteorological parameters, the evaluation module uses a single physical quantity (temperature difference, ventilation volume, etc.) or outdoor thermal comfort index as evaluation indicators to quantify the benefits of sea breezes. Finally, the cooling effect or comfort improvement output by these physical indicators is used as a guide to optimize urban spatial morphology such as building density and street orientation. The core logic of this method is based on the assumption that significant physical cooling or improvement in overall thermal comfort is linearly equivalent to the high efficiency of introducing sea breezes, because these indicators directly reflect the changes in meteorological elements or the final thermal state of the human body.

[0003] However, although the above-mentioned evaluation paradigms based on meteorological factors or comfort levels are intuitive and widely adopted, they have a fundamental flaw: they only focus on the apparent improvement of the final state of the environment, without decoupling the sensible / latent heat fluxes in the advection process of sea breezes from a physical mechanism perspective and weighting them according to human sensitivity. This results in the evaluation results being disconnected from the real net health benefits, making it difficult to accurately assess the real benefits of sea breezes in hot and humid environments. Summary of the Invention

[0004] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and system for evaluating the benefits of sea breeze advection, thereby solving the technical problem that the evaluation results of sea breeze advection are disconnected from the net health benefits in the prior art.

[0005] To achieve the above objectives, this invention provides a method for evaluating the benefits of sea breeze advection, comprising the following steps:

[0006] S1. Construct a high-precision gridded multi-parameter coupled urban meteorological model and output high-frequency meteorological parameters including temperature, humidity, wind speed and total solar radiation on the ground surface;

[0007] S2. Based on high-frequency meteorological parameters, reconstruct the high-resolution spatiotemporal field of the outdoor thermal stress index;

[0008] S3. Based on the urban three-dimensional spatial heat balance mechanism, the total heat and water vapor balance are decoupled into three major physical driving processes: advection transport, turbulent diffusion and anthropogenic heat emission, and the net advection sensible heat flux and net advection latent heat flux of sea breeze advection are extracted.

[0009] S4. Based on the numerical differential method, the sensitivity weighting coefficients of the outdoor thermal stress index to sensible heat and latent heat are extracted nonlinearly, including the sensible heat weighting coefficient and the latent heat weighting coefficient.

[0010] S5. Assign sensible heat flux and latent heat flux to sensible heat weight coefficient and latent heat weight coefficient respectively, and perform nonlinear weighted synthesis to construct and output the sea breeze advection benefit index based on human thermal stress sensitivity weighting.

[0011] By adopting this technical solution, on the one hand, quantitative separation of sensible heat flux and latent heat flux is achieved, and the cooling benefits and humidification costs of sea breeze advection are physically decoupled; on the other hand, a nonlinear sensitivity weighting mechanism based on the outdoor heat stress index is introduced to integrate the decoupled physical flux with human body heat stress sensitivity. Thus, the technical problem of the disconnect between traditional evaluation results and net health benefits is solved from the two dimensions of underlying flux decoupling and human body sensitivity weighting, and the net health benefits of sea breeze advection are accurately quantified.

[0012] Furthermore, in step S1, the high-precision gridded multi-parameter coupled urban meteorological model specifically includes:

[0013] S1.1. A mesoscale meteorological model, a multi-layer urban canopy simulation system, and a building energy consumption simulation system are coupled together. In the horizontal direction, a multi-layer nested calculation region is constructed, and in the vertical direction, a planetary boundary layer, a mixed layer, and a near-surface layer are coupled.

[0014] S1.2. The local climate zone surface classification scheme is adopted as the underlying surface condition. The morphology and physical parameters of various buildings in the urban canopy model are obtained through GIS technology, and the surface momentum, heat, humidity and turbulent kinetic energy flux are fed back to the atmospheric dynamic regulation equation.

[0015] S1.3. Based on the difference measurement of the average error distribution characteristics and the multi-factor rank weighting method, typical meteorological representative years are selected from the long-sequence hourly observation data to provide initial field and boundary condition inputs for the meteorological model.

[0016] By adopting this technical solution, the spatial resolution and physical realism of meteorological simulation are significantly improved through multi-mode coupling and refined underlying surface parameterization. The selection of typical meteorological representative years eliminates interannual random fluctuation interference, providing high-precision and high-stability meteorological parameter input for subsequent evaluation of sea breeze advection benefits.

[0017] Furthermore, in step S2, the reconstructed outdoor thermal stress index is the black sphere wet-bulb temperature, which is a weighted synthesis of the wet-bulb temperature, the black sphere temperature, and the dry-bulb temperature; wherein,

[0018] The dry-bulb temperature is directly extracted from the air temperature data at a height of two meters output in step S1;

[0019] The wet-bulb temperature is obtained by calculating the dew point temperature based on the two-meter air temperature, absolute humidity, and surface air pressure output in step S1, and then using the Newton-Raphson iterative method to solve for the thermodynamic equilibrium state of the moist air.

[0020] The temperature of the black sphere is based on the solar radiation intensity of 400 W / m. 2 Using a piecewise empirical formula as the boundary, the calculation was performed by comprehensively considering the nonlinear effects of total solar radiation and 10-meter wind speed on the thermal balance of the black sphere.

[0021] By adopting this technical solution, the wet-bulb temperature of the black sphere is a recognized indicator for evaluating human thermal stress, which can comprehensively reflect the coupled effects of air temperature, humidity, wind speed and radiation on human thermal pressure. Through refined parameterized inversion of thermophysical components, high-resolution spatiotemporal field reconstruction of the wet-bulb temperature of the black sphere is achieved, laying the foundation for the accurate extraction of subsequent sensitivity weighting coefficients.

[0022] Furthermore, in step S3, the net advection sensible heat flux and net advection latent heat flux of the sea breeze are extracted as follows:

[0023] For the established three-dimensional evaluation control volume, based on the principle of thermodynamic energy conservation, the total heat and water vapor balance are decoupled into three major physical driving processes: advection transport, turbulent diffusion, and anthropogenic heat exhaust; among them...

[0024] Net advection sensible heat flux is used to quantify the temperature change caused by sea breeze advection; when it is less than zero, it indicates that an advection cooling effect has occurred.

[0025] Net advection latent heat flux is used to quantify the water vapor changes caused by sea breeze advection; when it is greater than zero, it indicates a humidifying effect.

[0026] By adopting this technical solution, the physical mechanisms of cooling benefits and humidification costs during sea breeze advection are decoupled.

[0027] Furthermore, in step S4,

[0028] The sensible heat weighting coefficient is calculated by keeping the absolute humidity constant, applying a small increment to the air temperature, calculating the change in the outdoor heat stress index after the disturbance, and obtaining it by taking the partial derivative.

[0029] The latent heat weighting coefficient is calculated by keeping the air temperature constant, applying a small increment to the absolute humidity, calculating the change in the outdoor heat stress index after the disturbance, and obtaining it by taking the partial derivative.

[0030] By adopting this technical solution, dynamic sensitivity weights for sensible heat and latent heat can be extracted based on the human body heat stress index, instead of using fixed empirical weights.

[0031] Furthermore, in step S5, the sea breeze advection benefit index, which is constructed and output based on human body thermal stress sensitivity, is calculated using the following formula:

[0032] ;

[0033] in, Index adv The advection effect index is the sea breeze effect index. a This is the sensible heat weighting coefficient. β This is the latent heat weighting coefficient. This is the net advection sensible heat flux. This represents the net advection latent heat flux.

[0034] By adopting this technical solution, physical flux (sensible heat and latent heat) and human sensitivity (weighting coefficient) are organically integrated through nonlinear weighted synthesis, and a single quantitative index that can directly characterize the net contribution of sea breeze to human heat stress is output, realizing the transformation from changes in physical quantities to net benefits to human health.

[0035] Furthermore, it also includes:

[0036] Based on the output sea breeze advection effect index, a criterion for determining the sea breeze thermal and humid environment effect is constructed:

[0037] when Index adv When the temperature is less than 0, the current sea breeze advection process is judged to be a beneficial cooling effect, indicating that the thermal cooling benefit overcomes the latent heat humidification cost;

[0038] when Index adv When the value is greater than 0, the current sea breeze advection process is determined to be a vicious humidity penalty effect, indicating that the latent heat humidification cost covers up and offsets the sensible heat cooling benefit;

[0039] when Index adv When the value is 0, the sea breeze is determined to be at the critical point of a zero-sum game.

[0040] This technical solution provides an intuitive and clear basis for decision-making.

[0041] This invention also provides a sea breeze advection benefit evaluation system, comprising:

[0042] The meteorological field simulation module is used to construct multi-layered nested urban meteorological models and output high-frequency meteorological parameters;

[0043] The thermal stress field reconstruction module is connected to the meteorological field simulation module. It is used to receive meteorological parameters, calculate wet-bulb and black-bulb temperatures through thermodynamic iteration and empirical formulas, and reconstruct the spatiotemporal field of the outdoor thermal stress index.

[0044] The three-dimensional heat flux decoupling module is connected to the meteorological field simulation module and is used to separate the sensible heat net flux and latent heat net flux of sea breeze advection based on the principle of energy conservation.

[0045] The sensitivity weight extraction module is connected to the thermal stress field reconstruction module. It uses numerical differentiation to calculate the dynamic partial derivatives of the outdoor thermal stress index with respect to temperature and humidity, and generates sensible heat weight coefficient and latent heat weight coefficient.

[0046] The efficiency index synthesis output module is connected to the three-dimensional heat flux decoupling module and the sensitivity weight extraction module, respectively. It is used to perform multiplication and addition operations on the sensible heat net flux and latent heat net flux with the sensible heat weight coefficient and the latent heat weight coefficient, and output the final sea breeze advection efficiency index.

[0047] Furthermore, the benefit index synthesis output module is also used for:

[0048] Based on the numerical range of the sea breeze advection effect index, output the corresponding judgment result;

[0049] When the sea breeze advection benefit index is less than zero, the result of the judgment of good cooling effect is output.

[0050] When the sea breeze advection benefit index is greater than zero, the result of the judgment of the severe humidity penalty benefit is output.

[0051] When the sea breeze advection benefit index is equal to zero, output the determination result of the zero-sum game critical point.

[0052] Compared with the prior art, the present invention has the following advantages:

[0053] 1. For the first time, the physical mechanisms of sensible heat flux and latent heat flux were decoupled in the evaluation of the effects of sea breeze advection. By quantitatively separating these two antagonistic physical fluxes, the shortcomings of traditional methods that rely solely on the temperature drop or the difference in overall comfort level and cannot identify the humidity penalty effect were overcome, fundamentally improving the physical authenticity and scientific accuracy of the evaluation results.

[0054] 2. A weighted evaluation model based on human thermal stress perception was constructed. By introducing a sensitivity function that reflects the human body's heat and humidity tolerance thresholds, the decoupled sensible heat flux and latent heat flux were nonlinearly modulated. This completely corrected the logical error in the existing technology that confused the comprehensive thermal state of the environment with the net benefits of sea breeze advection, and can accurately calculate the true net contribution of sea breeze advection to human health.

[0055] 3. This invention provides a more reliable and targeted decision-making basis for climate adaptation planning in coastal cities. Thanks to the quantification of the nonlinear antagonistic mechanism of apparent and latent heat and the introduction of human sensitivity, this invention can effectively avoid the risk of misjudging harmful winds as cool winds under extreme high temperature and humidity weather. The output sea breeze advection benefit index can be directly used as a quantitative parameter standard for urban morphology regulation, realizing the utilization of sea breeze resources and the avoidance of harm. Attached Figure Description

[0056] Figure 1 This is a schematic diagram of the sea breeze advection benefit evaluation method in this invention;

[0057] Figure 2 This is a schematic diagram illustrating the research approach for solving WBGT based on the output of the WRF model in this embodiment of the invention.

[0058] Figure 3 This is a schematic diagram illustrating the analysis based on the urban spatial thermal balance mechanism in an embodiment of the present invention. Detailed Implementation

[0059] The present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0060] Please see the appendix Figure 1 This invention provides a method for evaluating the benefits of sea breeze advection. Taking City A, a typical coastal city in a hot and humid region, as a specific research object, the method evaluates its summer sea breeze advection benefits. The specific implementation process of this method is as follows:

[0061] S1: Construct a high-precision gridded multi-parameter coupled urban meteorological model, and output high-frequency meteorological parameters including temperature, humidity, wind speed and total solar radiation on the ground surface.

[0062] This embodiment uses a combination of a mesoscale meteorological model (WRF), a multi-layer urban canopy simulation system (BEP model), and a building energy consumption simulation system (BEM model) to construct a meteorological model. In the horizontal direction, a four-layer nested computational domain with City A as the center is constructed. In the vertical direction, planetary boundary layer, mixed layer, and near-surface layer models are coupled into the WRF model.

[0063] To make the urban canopy model more realistic, this embodiment constructs a parametric model of a multi-layered urban canopy (BEP). The local climate zone (LCZ) land surface classification scheme is used as the underlying surface condition of the central study area, and morphological and thermophysical parameters of various building categories in the urban canopy model of City A are obtained through GIS technology. Under the forced action of the near-surface atmospheric conditions of the WRF model, the BEP model calculates the surface momentum, heat, humidity and turbulent kinetic energy fluxes caused by the urban surface, and feeds these fluxes back into the atmospheric dynamic regulation equation.

[0064] To eliminate the interference of interannual random fluctuations in the meteorological background field, this embodiment adopts a standard meteorological year selection paradigm to provide the initial field and boundary conditions for the meteorological model. Specifically, long-sequence hourly observation data from meteorological stations within the study area are selected, focusing on August when the sea breeze circulation is most active, to construct a meteorological vector matrix including dry-bulb temperature, absolute humidity, wind speed, and wind direction. The mean squared error (MSE) is used to quantify the difference between the meteorological distribution of a single year and the long-term climate mean, and the calculation formula is as follows:

[0065]

[0066] In the formula, t i,j The i-th percentile value of a specific meteorological element in year j. The value is the i-th percentile of the climate baseline state for the entire sequence. Subsequently, a non-parametric rank scoring method is used to superimpose the MSE ranks of temperature, specific humidity, wind speed and wind direction with equal weights. The year with the lowest comprehensive score is selected as the typical meteorological representative year input model. Finally, the output is a high-frequency meteorological parameter field containing temperature, humidity, wind speed and total solar radiation at the Earth's surface.

[0067] S2: Reconstructing the high-resolution spatiotemporal field of the outdoor thermal stress index based on high-frequency meteorological parameters.

[0068] In this embodiment, wet-bulb spherical temperature (WBGT) is selected as the core indicator characterizing human thermal and humid stress; such as Figure 2 As shown, the inversion algorithm of "WRF meteorological field downscaling - thermophysical component parameterization - WBGT synthesis" is adopted.

[0069] WBGT in outdoor environments is determined by wet-bulb temperature (WBGT). T w ), black ball temperature ( T g ) and dry bulb temperature ( T a Three-part weighted synthesis:

[0070]

[0071] Among them, dry bulb temperature ( T a The air temperature data at a height of 2 meters was directly extracted from the output of step S1; the wet-bulb temperature ( T w Based on the 2-meter air temperature output in step S1 ( T a ), absolute humidity ( g ) and surface air pressure ( p After calculating the dew point temperature, the Newton-Raphson iterative method was used for numerical approximation to obtain the black sphere temperature. Tw Using a solar radiation intensity of 400 W / m² as the boundary, and comprehensively considering the total surface solar radiation (S) output from step S1 and the 10-meter wind speed (W), a piecewise empirical formula is used to estimate:

[0072] When S > 400 W / m²:

[0073]

[0074] When S≤400W / m²:

[0075]

[0076] S3: Based on the urban three-dimensional spatial heat balance mechanism, the total heat and water vapor balance are decoupled into three major physical driving processes: advection transport, turbulent diffusion and anthropogenic heat emission, and the net advection sensible heat flux and net advection latent heat flux of sea breeze advection are extracted.

[0077] like Figure 3 As shown, this embodiment, based on the principle of thermodynamic energy conservation, decouples the changes in total heat and water vapor balance within the selected three-dimensional evaluation control body into advection transport. ), turbulent diffusion ( and anthropogenic heat emissions ( Three independent physical driving processes:

[0078]

[0079] In the formula , , These represent the net advection heat flux, net turbulent diffusion heat flux, and net anthropogenic heat emissions within the evaluation control body, respectively.

[0080] This embodiment focuses on decoupling the advection net flux, which characterizes the horizontal heat and moisture transport effect of sea breeze; the advection net flux is equal to the net value of the advection inflow heat flux and the advection outflow heat flux.

[0081]

[0082] In the formula, They can represent net advection sensible heat flux ( ) and net advection latent heat flux ( Correspondingly, These can represent the sensible heat flux and latent heat flux flowing into the evaluation control body, respectively. These can represent the sensible heat flux and latent heat flux of the advection outflow evaluation control body, respectively; when When <0, it indicates a net outflow of sensible heat, resulting in a sea breeze advection cooling effect; when When the value is greater than 0, it indicates a net inflow of latent heat, suggesting that the sea breeze brings additional water vapor input, resulting in a humidity penalty effect.

[0083] S4: Based on the numerical differentiation method, the sensitivity weighting coefficients of the outdoor thermal stress index to sensible heat and latent heat are extracted nonlinearly, including the sensible heat weighting coefficient and the latent heat weighting coefficient.

[0084] This embodiment uses the mathematical partial differential method to analyze the local sensitivity characteristics of WBGT to sensible heat (temperature) and latent heat (absolute humidity); based on the numerical differential method, the dynamic weights of heat and humidity are solved hourly and grid-by-grid.

[0085] The solution for the sensible heat weighting coefficient is as follows: keeping the absolute humidity constant, only consider the air temperature ( Apply small increments ( ),contrast WBGT in state ( ) and apply small temperature increments ( WBGT after perturbation ( The sensible heat weighting coefficient is obtained by taking the partial derivative. a ):

[0086]

[0087] The latent heat weighting coefficient is calculated by keeping the air temperature constant. ) remains unchanged, only for absolute humidity ( Apply small increments ( ),contrast WBGT in state ( ) and apply small increments ( WBGT after perturbation ( The latent heat weighting coefficient is obtained by taking the partial derivative. β ):

[0088]

[0089] S5: Assign sensible heat flux and latent heat flux to sensible heat weight coefficient and latent heat weight coefficient respectively, and perform nonlinear weighted synthesis to construct and output the sea breeze advection benefit index based on human thermal stress sensitivity weighting.

[0090] The net advection sensible heat flux extracted in step S3 ( ) and net advection latent heat flux ( ), respectively assigning the sensible heat weighting coefficients obtained in step S4 ( ) and latent heat weighting coefficient ( Constructing the sea breeze advection effect index:

[0091]

[0092] The index ( Index adv This directly quantifies the net contribution of horizontal sea breeze input to reducing human body heat stress (WBGT); for the typical cooling and humidifying sea breeze in City A during summer, there is usually... <0 and The index has a value greater than 0; it can be used to accurately determine whether the latent heat humidification cost introduced by the sea breeze under the current temperature and humidity benchmark has offset its sensible heat cooling benefit.

[0093] Based on the output sea breeze advection effect index, a criterion for determining the sea breeze thermal and humid environment effect is constructed:

[0094] (1) When Index adv When the temperature is <0, the current sea breeze advection process is determined to have a "benign cooling effect"; its physical mechanism is: due to... The sensible heat cooling benefit, which is dominated by <0, overcomes the latent heat humidification cost, resulting in a net decrease in the human heat stress index WBGT. The smaller the value, the more significant the net benefit of sea breeze in relieving human heat stress. Therefore, it can be determined that sea breeze input at this time has a positive net contribution to human heat health in the study area and is a favorable factor in relieving urban heat stress.

[0095] (2) When Index adv When the value is greater than 0, the current sea breeze advection process is judged as having a "malicious humidity penalty effect"; its physical mechanism is: under a specific temperature and humidity baseline, the latent heat weighting coefficient ( The nonlinear amplification effect of ) makes the The latent heat humidification cost, which is greater than 0, completely masks and offsets the sensible heat cooling benefit, resulting in a net upward trend in the human heat stress index WBGT. The larger the value, the higher the risk of sea breeze exacerbating the sultry heat pressure. Urban planning should avoid blindly guiding advection in the corresponding areas and instead adopt local dehumidification or heat blocking strategies.

[0096] (3) When Index adv When WBGT = 0, the sea breeze is at a "zero-sum game critical point", which means that the benefits of cooling and the disadvantages of humidification just cancel each other out, and WBGT remains unchanged.

[0097] The present invention has been described in detail above with reference to the accompanying drawings and embodiments. Those skilled in the art can make various modifications to the present invention based on the above description. Therefore, certain details in the embodiments should not be construed as limiting the present invention, and the scope of protection of the present invention shall be defined by the appended claims.

Claims

1. A method for evaluating the benefits of sea breeze advection, characterized in that, Includes the following steps: S1. Construct a high-precision gridded multi-parameter coupled urban meteorological model and output high-frequency meteorological parameters including temperature, humidity, wind speed and total solar radiation on the ground surface; S2. Based on high-frequency meteorological parameters, reconstruct the high-resolution spatiotemporal field of the outdoor thermal stress index; S3. Based on the urban three-dimensional spatial heat balance mechanism, the total heat and water vapor balance are decoupled into three major physical driving processes: advection transport, turbulent diffusion and anthropogenic heat emission, and the net advection sensible heat flux and net advection latent heat flux of sea breeze advection are extracted. S4. Based on the numerical differential method, the sensitivity weighting coefficients of the outdoor thermal stress index to sensible heat and latent heat are extracted nonlinearly, including the sensible heat weighting coefficient and the latent heat weighting coefficient. S5. Assign sensible heat flux and latent heat flux to sensible heat weight coefficient and latent heat weight coefficient respectively, and perform nonlinear weighted synthesis to construct and output the sea breeze advection benefit index based on human thermal stress sensitivity weighting.

2. The method for evaluating the benefits of sea breeze advection according to claim 1, characterized in that, In step S1, constructing a high-precision gridded multi-parameter coupled urban meteorological model specifically includes: S1.

1. A mesoscale meteorological model, a multi-layer urban canopy simulation system, and a building energy consumption simulation system are coupled together to construct a multi-layer nested computational domain in the horizontal direction and to couple a planetary boundary layer, a hybrid layer, and a near-surface layer in the vertical direction. S1.

2. The local climate zone surface classification scheme is adopted as the underlying surface condition. The morphology and physical parameters of various buildings in the urban canopy model are obtained through GIS technology, and the surface momentum, heat, humidity and turbulent kinetic energy flux are fed back to the atmospheric dynamic regulation equation. S1.

3. Based on the difference measurement of the average error distribution characteristics and the multi-factor rank weighting method, typical meteorological representative years are selected from the long-sequence hourly observation data to provide initial field and boundary condition inputs for the meteorological model.

3. The method for evaluating the benefits of sea breeze advection according to claim 1, characterized in that, In step S2, the reconstructed outdoor thermal stress index is the black sphere wet-bulb temperature, which is a weighted synthesis of the wet-bulb temperature, the black sphere temperature, and the dry-bulb temperature; wherein, The dry-bulb temperature is directly extracted from the air temperature data at a height of two meters output in step S1; The wet-bulb temperature is obtained by calculating the dew point temperature based on the two-meter air temperature, absolute humidity, and surface air pressure output in step S1, and then using the Newton-Raphson iterative method to solve for the thermodynamic equilibrium state of the moist air. The temperature of the black sphere is based on the solar radiation intensity of 400 W / m. 2 Using a piecewise empirical formula as the boundary, the calculation was performed by comprehensively considering the nonlinear effects of total solar radiation and 10-meter wind speed on the thermal balance of the black sphere.

4. The method for evaluating the benefits of sea breeze advection according to claim 1, characterized in that, In step S3, the net advection sensible heat flux and net advection latent heat flux of the sea breeze are extracted as follows: For the established three-dimensional evaluation control volume, based on the principle of thermodynamic energy conservation, the total heat and water vapor balance are decoupled into three major physical driving processes: advection transport, turbulent diffusion, and anthropogenic heat exhaust; among them... Net advection sensible heat flux is used to quantify the temperature change caused by sea breeze advection; when it is less than zero, it indicates that an advection cooling effect has occurred. Net advection latent heat flux is used to quantify the water vapor changes caused by sea breeze advection; when it is greater than zero, it indicates a humidifying effect.

5. The method for evaluating the benefits of sea breeze advection according to claim 1, characterized in that, In step S4, The sensible heat weighting coefficient is calculated by keeping the absolute humidity constant, applying a small increment to the air temperature, calculating the change in the outdoor heat stress index after the disturbance, and obtaining it by taking the partial derivative. The latent heat weighting coefficient is calculated by keeping the air temperature constant, applying a small increment to the absolute humidity, calculating the change in the outdoor heat stress index after the disturbance, and obtaining it by taking the partial derivative.

6. The method for evaluating the benefits of sea breeze advection according to claim 1, characterized in that, In step S5, the sea breeze advection benefit index, which is constructed and output based on human thermal stress sensitivity, is calculated using the following formula: ； in, Index adv The advection effect index is the sea breeze effect index. a This is the sensible heat weighting coefficient. β This is the latent heat weighting coefficient. This is the net advection sensible heat flux. This represents the net advection latent heat flux.

7. The method for evaluating the benefits of sea breeze advection according to claim 6, characterized in that, Also includes: Based on the output sea breeze advection effect index, a criterion for determining the sea breeze thermal and humid environment effect is constructed: when Index adv When the temperature is less than 0, the current sea breeze advection process is judged to be a beneficial cooling effect, indicating that the thermal cooling benefit overcomes the latent heat humidification cost; when Index adv When the value is greater than 0, the current sea breeze advection process is determined to be a vicious humidity penalty effect, indicating that the latent heat humidification cost covers up and offsets the sensible heat cooling benefit; when Index adv When the value is 0, the sea breeze is determined to be at the critical point of a zero-sum game.

8. A sea breeze advection benefit evaluation system, implementing the sea breeze advection benefit evaluation method as described in any one of claims 1-7, characterized in that, include: The meteorological field simulation module is used to construct multi-layered nested urban meteorological models and output high-frequency meteorological parameters; The thermal stress field reconstruction module is connected to the meteorological field simulation module. It is used to receive meteorological parameters, calculate wet-bulb and black-bulb temperatures through thermodynamic iteration and empirical formulas, and reconstruct the spatiotemporal field of the outdoor thermal stress index. The three-dimensional heat flux decoupling module is connected to the meteorological field simulation module and is used to separate the sensible heat net flux and latent heat net flux of sea breeze advection based on the principle of energy conservation. The sensitivity weight extraction module is connected to the thermal stress field reconstruction module. It uses numerical differentiation to calculate the dynamic partial derivatives of the outdoor thermal stress index with respect to temperature and humidity, and generates sensible heat weight coefficient and latent heat weight coefficient. The efficiency index synthesis output module is connected to the three-dimensional heat flux decoupling module and the sensitivity weight extraction module, respectively. It is used to perform multiplication and addition operations on the sensible heat net flux and latent heat net flux with the sensible heat weight coefficient and the latent heat weight coefficient, and output the final sea breeze advection efficiency index.

9. The sea breeze advection benefit evaluation system according to claim 8, characterized in that, The efficiency index synthesis output module is also used for: Based on the numerical range of the sea breeze advection effect index, output the corresponding judgment result; When the sea breeze advection benefit index is less than zero, the result of the judgment of good cooling effect is output. When the sea breeze advection benefit index is greater than zero, the result of the judgment of the severe humidity penalty benefit is output. When the sea breeze advection benefit index is equal to zero, output the determination result of the zero-sum game critical point.

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