A system and method for assessing the development potential of a roof garden

Abstract

The application discloses a roof greening development potential evaluation system and method, relates to the technical field of roof greening development, and comprises the following units: a platform unit: a core variable and a roof greening construction square array test platform are used for evaluating the roof greening development potential; an index unit: the life cycle of roof greening is obtained, a plurality of stages are divided according to the life cycle, the accounting path of carbon increment is obtained based on all stages and the core variable, and the sub-index is obtained based on the accounting path; a calculation unit: sub-item data of carbon potential is obtained; and an evaluation unit: core data is obtained based on the sub-item data and the core index, and the evaluation result of the roof greening development potential is obtained based on the core data. The application can solve the problem that the accounting path of the carbon reduction and increment benefit of the existing roof greening development potential evaluation system is imperfect, the carbon reduction and increment benefit cannot be accurately quantitatively accounted, and the evaluation is inaccurate.

Description

Technical Field

[0001] This invention relates to the field of rooftop greening development technology, and more specifically, to a system and method for assessing the development potential of rooftop greening. Background Technology

[0002] Cities are the primary carriers of economic and social activities and major global carbon sources. The majority of global carbon emissions originate in cities, making urban decarbonization crucial for curbing climate change. Urban decarbonization includes both carbon reduction and carbon sequestration. In terms of carbon reduction, energy, land, industry, and urban infrastructure (including buildings, transportation, and urban green spaces) are paramount. With increasing demands for carbon reduction, while fully considering emission reduction and alternative energy sources, it is also essential to prioritize urban carbon sequestration. Constructing urban green landscape systems is a proactive and effective means of achieving this.

[0003] Comprehensively developing urban vertical space, enhancing urban greening levels, and improving overall urban carbon sequestration efficiency are important ways to construct an urban green landscape system. For example, rooftops account for approximately 20-25% of the urban surface, with a total global rooftop area of ​​3.8 × 10⁻⁶. 11 With a floor area of ​​approximately 1,000 square meters, rooftop greening possesses enormous potential for greening and landscaping. Furthermore, it offers diverse environmental and ecological benefits in addressing urban high temperatures, floods, air pollution, and water pollution. It can also be upgraded to rooftop farms, combining urban landscaping with agricultural product supply, demonstrating broad development prospects. Therefore, many countries and regions have introduced rooftop greening regulations and incentive policies to promote its development.

[0004] Unlike the carbon cycle mechanism of natural ecosystems, rooftop greening, as a type of building ancillary facility, participates in the urban carbon cycle. In addition to natural carbon sinks, it also involves various artificial mechanisms, such as environmental protection. The carbon cycle mechanism is complex, and the current rooftop greening development potential assessment system does not have a complete accounting path for carbon reduction and carbon sink enhancement benefits. It cannot accurately quantify the carbon reduction and carbon sink enhancement benefits, resulting in inaccurate assessments. Consequently, rooftop greening has been unable to integrate into the carbon sink trading market for a long time, hindering its application in the construction of low-carbon cities. Summary of the Invention

[0005] To address the problem that existing rooftop greening development potential assessment systems suffer from incomplete calculation pathways for carbon reduction and carbon sink enhancement benefits, leading to inaccurate assessments, this invention provides a rooftop greening development potential assessment system, comprising:

[0006] Platform Unit: Used to construct a matrix test platform based on core variables and rooftop greening, which is used to evaluate the development potential of rooftop greening;

[0007] Indicator Unit: Used to obtain the life cycle of the rooftop greening, divide the life cycle into several stages, obtain the carbon sequestration calculation path based on all the stages and the core variables, and obtain sub-indicators based on the calculation path. The calculation path includes implicit carbon path, biological carbon sequestration path, renewable energy path and operational carbon reduction path.

[0008] Calculation unit: Used to obtain sub-data on carbon potential;

[0009] Evaluation Unit: Used to obtain core data based on the sub-item data and core indicators, and to obtain the evaluation result of the potential for rooftop greening development based on the core data;

[0010] The sub-data includes implicit carbon baseline NV. EC Carbon sequestration NV CS Carbon emission reduction (NV) BS and operating carbon reduction NV OC The method for obtaining the sub-item data is as follows:

[0011] Based on the core variables, rooftop greening is divided into several categories, and the implicit carbon content of rooftop greening is obtained. Based on the implicit carbon pathway, the rooftop greening category, and the implicit carbon content, the implicit carbon baseline (NV) for each rooftop greening category is obtained. EC ;

[0012] Based on the described biological carbon sink pathway and the array testing platform, the test chamber tests the soil respiration of rooftop greening to obtain test parameters, and the carbon sink amount (NV) is obtained based on the test parameters. CS ;

[0013] The renewable energy pathway yields the total biomass, and the carbon emission reduction (NV) is obtained based on the total biomass. BS ;

[0014] Based on the aforementioned carbon reduction path, the canopy surface temperature of the rooftop greening is obtained; a first net radiation is obtained based on the canopy surface temperature; a second net radiation of the canopy is obtained using a radiation measurement device; latent heat flux is obtained based on the first and second net radiation; air conditioning power consumption is obtained based on the latent heat flux; and the carbon reduction amount (NV) is obtained based on the air conditioning power consumption. OC .

[0015] Green rooftops are part of the urban ecosystem, and their carbon flow is embedded in the urban carbon cycle system, exhibiting characteristics of a natural-artificial dual carbon cycle within the urban system. Natural carbon processes primarily involve the carbon cycle of plant and soil life activities, including plant photosynthesis, respiration, microbial respiration, and microbial carbon sequestration. This process mainly transfers carbon from the atmospheric carbon pool to the vegetation and soil carbon pool. Artificial carbon processes refer to the reduction (or increase) in urban CO2 emissions resulting from the participation of green rooftops in urban operations. This includes increased CO2 emissions from the construction of green rooftops, reduced CO2 emissions from the use of green rooftops for building insulation and urban climate regulation, and reduced CO2 emissions from the production of bioenergy through green rooftops. This invention, based on the natural-artificial dual carbon cycle theory of rooftop greening, deconstructs the internal carbon cycle mechanism of rooftop greening from the perspective of carbon flux. Combining life cycle theory (LCA), carbon sequestration theory (CCS), renewable energy technology (REP), and urban local climate theory (LCR), it proposes a comprehensive carbon reduction and carbon sequestration accounting path for rooftop greening, including implicit carbon, biological carbon sinks, bioenergy supply, and operational carbon. It fully considers the carbon consumed during construction, operation, and maintenance; the transfer of carbon from the atmospheric carbon pool to the vegetation and soil carbon pools; the carbon reduction effect of rooftop greening through bioenergy supply; and the reduction of air conditioning load through transpiration. It comprehensively calculates the implicit carbon baseline, carbon sink volume, carbon emission reduction, and operational carbon reduction, achieving a complete accounting path. The system is designed to more accurately quantify carbon reduction and carbon sink gains, improving assessment accuracy while simplifying the carbon cycle mechanism, thus better quantifying these benefits. A matrix testing platform based on rooftop greening allows for more accurate quantification of carbon potential through the platform and calculation pathways, leading to more precise calculations and improved assessment accuracy. Furthermore, the core variables and indicators clearly define the assessment boundaries and influencing factors, facilitating baseline comparisons of carbon reduction potential across different types of rooftop greening. The matrix testing platform uses modular units to simultaneously test the carbon potential of four pathways under multiple variables, enhancing the speed and flexibility of commercial assessments and making it suitable for undertaking commercial rooftop greening carbon sink potential assessment orders or serving carbon trade verification.

[0016] The invention employs four pathways to assess carbon emissions from rooftop greening: Implicit carbon pathways (used to account for carbon consumption during construction, operation, and maintenance); biological carbon sink pathways (transferring carbon from atmospheric carbon pools to vegetation and soil carbon pools, including plant photosynthesis, respiration, microbial respiration, and microbial carbon sequestration); renewable energy pathways (supplying bioenergy, such as biogas generated through anaerobic fermentation of forage); and operational carbon reduction pathways (rooftop greening utilizes transpiration to vaporize a large amount of solar radiation heat, with the latent heat of vaporization dissipating a significant amount of environmental heat and reducing air conditioning load). Based on these four pathways, this invention sets four sub-indicators for rooftop greening carbon assessment: Implicit carbon normalization index, biological carbon sink normalization index, renewable energy normalization index, and operational carbon reduction normalization index. Since implicit carbon is a carbon source, and the latter three provide carbon sink benefits with the continuous operation of rooftop greening, the carbon payback period and the overall carbon potential within the rooftop greening lifecycle are defined as the core indicators for assessing the development potential of rooftop greening.

[0017] Furthermore, the specific steps for obtaining the test parameters include:

[0018] Cover the test box with a shield, and obtain the first parameter of the test box based on the detection device based on a first preset time period and a preset time interval; remove the shield of the test box, and obtain the second parameter of the test box based on the detection device based on a second preset time period and the preset time interval, and obtain the test parameter based on the first parameter and the second parameter.

[0019] Carbon sequestration NV CS This test is a composite result of soil microbial respiration, plant respiration, and plant photosynthesis. It measures the change in CO2 concentration per unit area of ​​rooftop greenery over a certain period, calculates the CO2 flux based on the rate of concentration change, and thus calculates the carbon sequestration. The test chamber is connected to the substrate's gas chamber trough of the array testing platform to create a closed space, facilitating the calculation of CO2 concentration changes within this enclosed space over a certain period, thereby calculating the carbon sequestration. With the cover on, the test chamber is a dark chamber; without the cover, it is an open chamber. Using a dark chamber first avoids the greenhouse effect of an open chamber, which could cause a dramatic increase in internal temperature. Furthermore, after the dark chamber test, the CO2 concentration inside the chamber is sufficient, avoiding errors in photosynthesis testing caused by insufficient CO2 in the smaller chamber.

[0020] Furthermore, the carbon sink quantity NV is obtained based on the test parameters. CS The specific steps include:

[0021] The CO2 concentration was obtained by analyzing the test parameters using a gas analyzer.

[0022] Obtain air temperature, atmospheric pressure, and the dimensions of the test chamber; obtain the unit carbon flux based on the atmospheric pressure, CO2 concentration, and dimensions; obtain the total carbon sink flux based on the unit carbon flux, the first preset time period, and the second preset time period; obtain the carbon sink amount NV based on the total carbon sink flux. CS .

[0023] Furthermore, the core variables include substrate depth, plant species, and drought stress.

[0024] The four sub-indicators are affected by complex environmental factors. To facilitate practical development, this invention incorporates three main influencing factors: substrate depth, plant species, and drought stress. These three variables serve as core variables and are also the main optimization targets for improving carbon reduction benefits (or carbon sink market returns) based on the evaluation results.

[0025] Furthermore, the specific steps for obtaining several rooftop greening classifications include:

[0026] Based on the substrate depth, the roof greening is divided into all the roof greening categories, including extensive roof greening, semi-intensive roof greening and intensive roof greening.

[0027] Implicit carbon benchmarks are an important condition for the development of green roofs into carbon sink markets. For similar forms of green roofs, their implicit carbon levels are similar. Classifying green roofs into three types according to substrate depth makes it faster to calculate implicit carbon and helps to compare the carbon reduction potential of each type of green roof with the baseline.

[0028] Furthermore, the implicit carbon baseline values ​​for the extensive green roof, the semi-intensive green roof, and the intensive green roof are 45.26 kg CO2 m³, respectively. -2 92.36 kg CO2 m -2 and 148.59 kg CO2 m -2 .

[0029] Furthermore, the array testing platform includes several testing devices, each of which includes an iron frame and a planting platform. The iron frame and the planting platform are connected. A temperature measuring device is provided at the top of the iron frame. The planting platform includes several protective panels and planting boards. The protective panels and the planting boards are connected. The planting platform has internal insulation cotton.

[0030] To ensure practical applicability, this invention uses modular scaling units to acquire computational data and provides a potential index per square meter, facilitating application at regional scales (community scale, city scale). A rooftop greening module array test platform is designed based on three variables to quantify the carbon potential of four pathways.

[0031] Furthermore, the specific steps for constructing the matrix testing platform include:

[0032] Each planting board is fitted with a substrate of different depths, and different plant species are planted in the substrate. The plants are divided into different drought stresses. The substrate has a pre-embedded air chamber slot, which is used to install the test box.

[0033] A rooftop greening module array test bench was designed based on three variables to quantify the carbon potential of four pathways.

[0034] Furthermore, the sub-indicators include implicit carbon normalization indicators, biological carbon sink normalization indicators, renewable energy normalization indicators, and operational carbon reduction normalization indicators, while the core indicators include carbon payback period and overall carbon potential.

[0035] This invention also provides a method for assessing the development potential of rooftop greening, the method comprising:

[0036] A matrix testing platform is constructed based on core variables and rooftop greening, which is used to evaluate the development potential of rooftop greening.

[0037] The life cycle of the rooftop greening is obtained, and the life cycle is divided into several stages. Based on all the stages and the core variables, a carbon sequestration calculation path is obtained. Sub-indicators are obtained based on the calculation path. The calculation path includes implicit carbon path, biological carbon sequestration path, renewable energy path and operational carbon reduction path.

[0038] Obtain breakdown data on carbon potential;

[0039] Based on the aforementioned sub-item data and core indicators, core data is obtained, and based on the core data, an assessment result of the potential for rooftop greening development is obtained.

[0040] The sub-data includes implicit carbon baseline NV. EC Carbon sequestration NV CS Carbon emission reduction (NV) BS and operating carbon reduction NV OC The method for obtaining the sub-item data is as follows:

[0041] Based on the core variables, rooftop greening is divided into several categories, and the implicit carbon content of rooftop greening is obtained. Based on the implicit carbon pathway, the rooftop greening category, and the implicit carbon content, the implicit carbon baseline (NV) for each rooftop greening category is obtained. EC , ;

[0042] Based on the aforementioned biological carbon sink pathway and the aforementioned matrix testing platform, the soil respiration of rooftop greening was tested to obtain test parameters, and the carbon sink amount (NV) was obtained based on these test parameters.CS ;

[0043] The renewable energy pathway yields the total biomass, and the carbon emission reduction (NV) is obtained based on the total biomass. BS ;

[0044] Based on the aforementioned carbon reduction path, the canopy surface temperature of the rooftop greening is obtained; a first net radiation is obtained based on the canopy surface temperature; a second net radiation of the canopy is obtained using a radiation measurement device; latent heat flux is obtained based on the first and second net radiation; air conditioning power consumption is obtained based on the latent heat flux; and the carbon reduction amount (NV) is obtained based on the air conditioning power consumption. OC .

[0045] The principle and effect of this method are similar to those of this system, and therefore, no further details will be provided for this method.

[0046] One or more technical solutions provided by this invention have at least the following technical effects or advantages:

[0047] 1. This invention deconstructs the internal carbon cycle mechanism of rooftop greening from the perspective of carbon flux. Combining Life Cycle Theory (LCA), Carbon Sequestration Theory (CCS), Renewable Energy Technology (REP), and Urban Local Climate Theory (LCR), it proposes a comprehensive carbon reduction and carbon sequestration accounting path for rooftop greening, including implicit carbon, biological carbon sinks, bioenergy supply, and operational carbon. It fully considers the carbon consumed during construction, operation, and maintenance; the transfer of carbon from the atmospheric carbon pool to vegetation and soil carbon pools; the carbon reduction effect of rooftop greening through bioenergy supply; and the reduction of air conditioning load through transpiration. It comprehensively calculates the implicit carbon baseline, carbon sink, carbon emission reduction, and operational carbon reduction, thus perfecting the accounting path. This allows for more accurate quantitative calculation of carbon reduction and carbon sequestration benefits, improving assessment accuracy while simplifying the carbon cycle mechanism, and better quantifying carbon reduction and carbon sequestration benefits. A matrix testing platform is constructed based on rooftop greening. Through this platform and the accounting path, carbon potential is quantified, resulting in more accurate carbon potential calculation and thus more accurate quantification of carbon reduction and carbon sequestration benefits, improving assessment accuracy.

[0048] 2. The core variables and core indicators clarify the assessment boundaries and influencing factors, which helps to compare the carbon reduction potential of various types of rooftop greening with the baseline.

[0049] 3. The matrix testing platform uses modular units to test the carbon potential of four pathways under multiple variables at once, improving the speed and flexibility of commercial assessment. This is beneficial for undertaking commercial rooftop greening carbon sink potential assessment orders or serving carbon sink trade verification.

[0050] 4. Carbon payback period, as a core evaluation indicator, helps in the design and optimization of low-carbon oriented green roofs. By changing three types of core variables, the carbon payback period can be optimized cyclically, or the optimal solution can be obtained through machine learning. Alternatively, specific accounting paths can be optimized according to development conditions to maximize resource utilization. Attached Figure Description

[0051] The accompanying drawings, which are provided to further illustrate embodiments of the invention and constitute a part of this invention, are not intended to limit the scope of the invention.

[0052] Figure 1 This is a schematic diagram of the structure of a rooftop greening development potential assessment system according to the present invention;

[0053] Figure 2 This is a flowchart illustrating the rooftop greening development potential assessment system of this invention, where NV-CS, NV-BS, NV-OC, and NV-EC represent the implicit carbon baseline NV, respectively. EC Carbon sequestration NV CS Carbon emission reduction (NV) BS and operating carbon reduction NV OC ;

[0054] Figure 3 This is a flowchart illustrating the process of obtaining the breakdown data of carbon potential in this invention;

[0055] Figure 4 This is a schematic diagram of the implicit carbon baseline values ​​for extensive green roof, semi-intensive green roof and intensive green roof in this invention, wherein EGR represents extensive green roof, SiGR represents semi-intensive green roof and IGR represents intensive green roof.

[0056] Figure 5 This is a schematic diagram of the life cycle stages of implicit carbon in this invention. Stage A, Stage B and Stage C represent the production and construction stage, the use stage and the end-of-life stage of the life cycle, respectively. A1-A5, B1-B7 and C1-C4 represent the specific stages under the production and construction stage, the use stage and the end-of-life stage, respectively.

[0057] Figure 6 This is a schematic diagram of the planar structure of the square array testing platform of the present invention;

[0058] Figure 7 This is a cross-sectional structural diagram of the square array testing platform of the present invention;

[0059] Figure 8 This is a schematic diagram of the matrix structure layer of the square array testing platform of the present invention. Detailed Implementation

[0060] To better understand the above-mentioned objectives, features, and advantages of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be noted that, where there is no conflict, the embodiments of the present invention and the features thereof can be combined with each other.

[0061] Many specific details are set forth in the following description in order to provide a full understanding of the invention. However, the invention may also be practiced in other ways different from those described herein, and therefore the scope of protection of the invention is not limited to the specific embodiments disclosed below.

[0062] Example 1

[0063] refer to Figures 1-5 This embodiment provides a rooftop greening development potential assessment system, the system comprising:

[0064] Platform Unit: Used to construct a matrix test platform based on core variables and rooftop greening, the matrix test platform being used to evaluate the development potential of rooftop greening; wherein, the core variables include substrate depth, plant species, and drought stress.

[0065] Indicator Unit: Used to obtain the life cycle of the rooftop greening, divide the life cycle into several stages, obtain the carbon sequestration calculation path based on all the stages and the core variables, and obtain sub-indicators based on the calculation path. The calculation path includes implicit carbon path, biological carbon sequestration path, renewable energy path and operational carbon reduction path.

[0066] Calculation unit: Used to obtain sub-data on carbon potential;

[0067] Evaluation Unit: Used to obtain core data based on the sub-item data and core indicators, and to obtain the evaluation result of the potential for rooftop greening development based on the core data;

[0068] The sub-indicators include implicit carbon normalization indicators, biological carbon sink normalization indicators, renewable energy normalization indicators, and operational carbon reduction normalization indicators. The core indicators include carbon payback period and overall carbon potential.

[0069] The sub-data includes implicit carbon baseline NV. EC Carbon sequestration NV CS Carbon emission reduction (NV) BS and operating carbon reduction NV OC The method for obtaining the sub-item data is as follows:

[0070] Based on the core variables, rooftop greening is divided into several categories, and the implicit carbon content of rooftop greening is obtained. Based on the implicit carbon pathway, the rooftop greening category, and the implicit carbon content, the implicit carbon baseline (NV) for each rooftop greening category is obtained. EC ;

[0071] The specific steps for obtaining several rooftop greening classifications include:

[0072] Based on the substrate depth, the roof greening is divided into all the roof greening categories, including extensive roof greening, semi-intensive roof greening and intensive roof greening.

[0073] Based on the described biological carbon sink pathway and the array testing platform, the test chamber tests the soil respiration of rooftop greening to obtain test parameters, and the carbon sink amount (NV) is obtained based on the test parameters. CS ;

[0074] The specific steps for obtaining test parameters include:

[0075] Cover the test box with a shield, and obtain the first parameter of the test box based on the detection device based on a first preset time period and a preset time interval; remove the shield of the test box, and obtain the second parameter of the test box based on the detection device based on a second preset time period and the preset time interval, and obtain the test parameter based on the first parameter and the second parameter.

[0076] The carbon sink NV is obtained based on the test parameters. CS The specific steps include:

[0077] The CO2 concentration was obtained by analyzing the test parameters using a gas analyzer.

[0078] Obtain air temperature, atmospheric pressure, and the dimensions of the test chamber; obtain the unit carbon flux based on the atmospheric pressure, CO2 concentration, and dimensions; obtain the total carbon sink flux based on the unit carbon flux, the first preset time period, and the second preset time period; obtain the carbon sink amount NV based on the total carbon sink flux. CS .

[0079] The renewable energy pathway yields the total biomass, and the carbon emission reduction (NV) is obtained based on the total biomass. BS ;

[0080] Based on the aforementioned carbon reduction path, the canopy surface temperature of the rooftop greening is obtained; a first net radiation is obtained based on the canopy surface temperature; a second net radiation of the canopy is obtained using a radiation measurement device; latent heat flux is obtained based on the first and second net radiation; air conditioning power consumption is obtained based on the latent heat flux; and the carbon reduction amount (NV) is obtained based on the air conditioning power consumption. OC .

[0081] Drought stress is a phenomenon in which plant growth is significantly inhibited due to a lack of available water caused by drought.

[0082] Carbon flux is a fundamental concept in carbon cycle research, representing the total amount of carbon that passes through an ecosystem at a specific ecological cross-section.

[0083] Implicit carbon refers to greenhouse gas emissions associated with a product or material throughout its entire life cycle.

[0084] Implicit carbon baseline refers to a benchmark value for the amount of greenhouse gases emitted by a country, region, or enterprise under specific time and conditions.

[0085] A carbon sink is a process, activity, or mechanism that absorbs carbon dioxide from the atmosphere through measures such as afforestation and vegetation restoration, thereby reducing the concentration of greenhouse gases in the atmosphere. In contrast, a carbon source refers to the source of carbon dioxide production, which comes from both nature and human production and living processes. Based on their source, carbon sinks can be divided into two types: natural carbon sinks and anthropogenic carbon sinks.

[0086] Carbon sink refers to the change in carbon storage in rooftop greening carbon pools over a certain period.

[0087] Carbon emission reduction refers to the reduction of carbon dioxide emissions.

[0088] Operational carbon reduction refers to the amount of carbon emissions reduced through optimized operation methods or the adoption of low-carbon technologies.

[0089] Carbon flux refers to the processes, activities, or mechanisms that remove greenhouse gases such as carbon dioxide from the atmosphere.

[0090] Biomass refers to all living, growing organic matter produced through photosynthesis using the atmosphere, water, and land. It includes plants, animals, and microorganisms, as well as the waste products they generate.

[0091] Latent heat flux is the heat exchange per unit area under constant temperature conditions, and its unit is watts per square meter.

[0092] The matrix refers to everything except the analyte, and is the environment in which the analyte is situated. A matrix combination refers to the mixing of matrices with different properties in a specific ratio to achieve a particular effect.

[0093] Core variables are independent variables that are of particular interest in the research and are primarily used to explain changes in the dependent variable.

[0094] Core indicators are those that measure and evaluate the most critical and representative aspects of a thing or phenomenon.

[0095] The carbon payback period refers to the period during which carbon emissions from the construction period are recovered through carbon reduction during the operation period, that is, the time when the cumulative carbon footprint first turns from a positive value to a negative value.

[0096] Carbon sequestration refers to the increase in carbon dioxide and carbon storage.

[0097] Carbon potential refers to the amount of carbon dioxide emissions from fossil fuels contained in a unit of output, and is an important indicator for measuring the level of green development of a country or region.

[0098] Soil respiration refers to the metabolic activities of plant roots, detritus, fungi, and bacteria in the soil, which consume organic matter and produce carbon dioxide.

[0099] The canopy refers to the dense layer of branches and leaves of trees, crops, or other vegetation.

[0100] Air conditioning power consumption reduction: This refers to the reduction in air conditioning power consumption due to the transpiration effect of rooftop greening.

[0101] Example 2

[0102] refer to Figures 6-8 Based on Embodiment 1, in this embodiment, the array testing platform includes several testing devices. Each testing device includes an iron frame and a planting platform, with the iron frame and the planting platform connected. A temperature measuring device is installed at the top of the iron frame. The planting platform includes several protective panels and planting boards, with the protective panels and planting boards connected. The planting platform has internal insulation cotton. In this embodiment, the temperature measuring device can be an infrared thermal imager, etc.

[0103] The specific steps for building a matrix testing platform include:

[0104] Each planting board is fitted with a substrate of different depths, and different plant species are planted in the substrate. The plants are divided into different drought stresses. The substrate has a pre-embedded air chamber slot, which is used to install the test box.

[0105] Example 3

[0106] Based on the above embodiments, in this embodiment, the carbon sink NV is obtained. CSThe first calculation formula is:

[0107]

[0108] Among them, NV CS0 Expressed as unit carbon flux (kgCO2m) -2 s -1 P represents atmospheric pressure (Pa); H represents the height of the test chamber (m); T represents the air temperature (°C); (ppm / s) represents the change in CO2 concentration per unit time.

[0109]

[0110] Among them, NV CS This represents the total carbon flux. This indicates the carbon flux during the daytime. This indicates the carbon flux at night.

[0111]

[0112] Among them, NV CS Indicates carbon sink volume (NV) CS NV CS i Let n represent the total carbon flux on day i, and n represent the number of days.

[0113] Obtain carbon emission reduction (NV) BS The second calculation formula is:

[0114] NV BS 1 =AD1×ΔEF1; (4)

[0115] NV BS 2 =AD1×ΔEF2; (5)

[0116] Among them, NV BS 1 and NV BS 2 All represent carbon emission reduction (NV). BS You can choose formula (4) or formula (5) to calculate, where AD1 represents the total amount of biomass (kg), ΔEF1 represents the difference between the methane carbon emission coefficient and the vehicle gasoline carbon emission coefficient, and ΔEF2 represents the difference between the methane carbon emission coefficient and the power grid carbon emission coefficient.

[0117] Obtaining operating carbon reduction (NV) OC The third calculation formula is:

[0118]

[0119] R n0 =(1-α)R s +5.68×10 8 (0.92×105 T a 6 -0.98T c0 4 (7)

[0120] Where LE represents latent heat flux (J / m³) -2 h -1 ); R n Indicates the second net radiation (W / m 2 ), R n0 Indicates the first net radiation (W / m²) 2 ), T c0 The surface temperature of the non-transpiration reference canopy can be obtained by measuring the surface temperature of a thin piece of paper, the same color as the canopy being measured, placed within the rooftop green canopy (but not obscured by leaves). T c T represents the surface temperature of the canopy. a R represents air temperature, α represents the reflectance of the vegetation canopy, and R represents the air temperature. s This represents solar shortwave radiation (W / m2);

[0121]

[0122] Among them, LE i Represents the latent heat flux (Jm) on day i. -2 d -1 COP stands for Cooling Efficiency, which refers to the ratio of the cooling capacity to the input power of a heat pump (which can be an air conditioning compressor) installed in a rooftop green building. i This represents the air conditioning ration on day i (kWh). -1 ), NV OC Indicates carbon reduction (NV) during operation OC (kg CO2m -2 a -1 ), EF i Represents the carbon emission coefficient of the power grid on day i (kg CO2 TJ). -1 ), where n represents the number of days.

[0123] The fourth formula for calculating the carbon recovery period is:

[0124]

[0125] Where C-PT represents the carbon payback period, NV 40EC This represents the implicit carbon baseline calculated over a 40-year lifecycle; NV CS NV BS and NV OC These represent carbon sequestration (NV). CS Carbon emission reduction (NV) BS and carbon reduction NVOC .

[0126] The fifth formula for calculating the total carbon potential is:

[0127] NV 40a =40(NV) CS +NV BS +NV OC )-NV 40EC (11)

[0128] Among them, NV 40a This indicates the total carbon potential of rooftop greening over a 40-year lifespan, NV 40EC This represents the implicit carbon baseline calculated over a 40-year lifecycle; NV CS NV BS and NV OC These represent carbon sequestration (NV). CS Carbon emission reduction (NV) BS and carbon reduction NV OC .

[0129] Example 4

[0130] refer to Figures 1-8 Based on the above embodiments, this embodiment illustrates the evaluation process of the rooftop greening development potential assessment system:

[0131] 1. A matrix test platform is constructed based on core variables and rooftop greening, which is used to evaluate the development potential of rooftop greening; wherein, the core variables include substrate depth, plant species and drought stress;

[0132] refer to Figures 6-8 The array testing platform includes several testing devices, each of which includes an iron frame and a planting platform. The iron frame and the planting platform are connected. An infrared thermal imager is installed at the top of the iron frame. A louvered cover is installed outside the infrared thermal imager to protect the internal infrared thermal imager (to prevent rain and sun exposure while ensuring ventilation and heat dissipation). The planting platform includes several protective panels and planting boards. The protective panels and the planting boards are connected. The planting platform has internal insulation cotton. Figure 6 The additional structure in is Figure 8 Besides the vegetation and substrate, these additional structures are mainly used to improve the water retention and drainage performance of the rooftop greening, prevent root penetration, and provide insulation; they are optional. In this embodiment, the louvered cover can be an outdoor meteorological test louvered box.

[0133] The specific steps for building a matrix testing platform include:

[0134] refer to Figure 6Each planting board is fitted with substrate of different depths, such as 500mm, 350mm, and 200mm substrate combinations. The substrate combination can be 50% nutrient soil + 50% natural soil. Different plant species are planted in the substrate, such as forage grass (alfalfa), vegetables (potatoes), and herbs (mint). The plants are classified into different drought stress types, such as minimum soil moisture content (VWC) above 20% and natural conditions (no irrigation). The substrate has a pre-embedded air box slot, which is used to install the test box.

[0135] 2. Reference Figure 1 The life cycle of the rooftop greening is obtained, and the life cycle is divided into several stages, including the production stage, construction stage, use stage, end-of-life stage, and stages outside the life cycle. Based on all the stages and the core variables, a carbon sequestration accounting path is obtained. The accounting path includes: an implicit carbon path: used to account for the carbon consumed in the construction, operation, and maintenance processes (A1-A3, A4-A5, B2-B5, and C1-C4); a biological carbon sink path: plant photosynthesis, respiration, microbial respiration, and microbial carbon sequestration in stages B1 and B5, which mainly transfers carbon from the atmospheric carbon pool to the vegetation and soil carbon pool; a renewable energy path: bioenergy supply in stages B1, B5, and D; and an operational carbon reduction path: in stages B1, B6, and B7, the rooftop greening uses a large amount of solar radiative heat for water vaporization through transpiration, and the latent heat of vaporization dissipates a large amount of environmental heat, reducing the air conditioning load.

[0136] Based on the aforementioned accounting path, sub-indicators are obtained, and sub-data on carbon potential are obtained.

[0137] The sub-indicators include implicit carbon normalization indicators, biological carbon sink normalization indicators, renewable energy normalization indicators, and operational carbon reduction normalization indicators.

[0138] The carbon recovery period (C-PT) of rooftop greening is defined as NV. CS NV BS and NV OC Offset NV EC The time required for carbon emission reduction (C-PT) can be understood as the ratio of total carbon cost to annual carbon return; total carbon potential (NV) 40a The total amount of carbon from plant carbon sinks, fuel substitution carbon sinks, and operational carbon sinks over the 40-year life cycle of rooftop greening is reduced by the total amount of implicit carbon.

[0139] The sub-data includes implicit carbon baseline NV. EC Carbon sequestration NV CS Carbon emission reduction (NV) BS and operating carbon reduction NV OC The method for obtaining the sub-item data is as follows:

[0140] A. Based on the core variables, rooftop greening is divided into several rooftop greening categories; the specific steps for obtaining several rooftop greening categories include: dividing rooftop greening based on the substrate depth to obtain all the rooftop greening categories, the rooftop greening categories include extensive rooftop greening, semi-intensive rooftop greening, and intensive rooftop greening, such as dividing rooftop greening into extensive rooftop greening (substrate depth less than 200mm), semi-intensive rooftop greening (substrate depth greater than 200mm and less than 350mm) and intensive rooftop greening (substrate depth greater than 350mm) according to substrate depth.

[0141] Current methods for calculating implicit carbon emissions mostly rely on the carbon coefficient method. However, this method requires detailed records of the types of rooftop greening materials used, construction methods, maintenance methods, and demolition scenarios, which is virtually impossible to implement in commercial development. Furthermore, similar forms of rooftop greening exhibit similar implicit carbon levels.

[0142] Therefore, in this embodiment, based on 25 existing studies in the SCI literature database that calculate the implicit carbon of rooftop greening using carbon coefficients, and referencing... Figure 5 Stage A, Stage B, and Stage C represent the production and construction phase, the usage phase, and the end-of-life phase, respectively, in the life cycle. A1-A5, B1-B7, and C1-C4 represent specific stages within the production and construction phase, usage phase, and end-of-life phase, respectively. The specific stages are already described in [the original text]. Figure 1 The Chinese side indicated that...

[0143] The rooftop greening types are categorized into three types. The average value of each category is calculated to obtain the implicit carbon content of the rooftop greening. Based on the implicit carbon pathway, the rooftop greening category, and the implicit carbon content, the implicit carbon baseline (NV) for each rooftop greening category is obtained. EC ;

[0144] Implicit carbon accounting primarily calculates the carbon emissions from materials and the carbon emissions during operation. Materials have a lifespan and need to be replaced periodically; the annual maintenance carbon emissions during operation increase with the lifespan. Therefore, this embodiment selects a 40-year green roof carbon accounting cycle, which is widely accepted in the academic community. Thus, the implicit carbon level of rooftop greening over a 40-year lifespan is calculated, and the average value is taken as the baseline level. The resulting implicit carbon baseline values ​​for the extensive green roof, semi-intensive green roof, and intensive green roof are 45.26 kg CO2 m³. -2 92.36 kg CO2 m -2 and 148.59 kg CO2 m -2 .

[0145] B. Based on the aforementioned biological carbon sink pathway and the aforementioned array testing platform, the test chamber tests the soil respiration of the rooftop greening to obtain test parameters, and the carbon sink amount (NV) is obtained based on the test parameters. CS ;

[0146] The specific steps for obtaining test parameters include:

[0147] The test chamber is covered with a shield, and the first parameters of the test chamber are obtained based on a first preset time period and a preset time interval using a detection device. The shield is then removed, and the second parameters of the test chamber are obtained based on a second preset time period and the preset time interval using the detection device. The test parameters are then obtained based on the first and second parameters. For example, on a typical day, tests are conducted during daytime (7:00-17:00, 2-hour intervals) and nighttime (19:00-23:00, 2-hour intervals). During daytime testing, a dark chamber is first used to test (10 minutes) the soil microbial respiration and overall plant respiration intensity, followed by a bright chamber test (10 minutes) to test the total photosynthetic intensity of the plants. In this embodiment, the test parameters may include air temperature, humidity, and CO2 concentration, and the detection device is capable of measuring air temperature, humidity, and CO2 concentration.

[0148] The carbon sink NV is obtained based on the test parameters. CS The specific steps include:

[0149] The CO2 concentration is obtained by analyzing the test parameters using a gas analyzer; in this embodiment, the gas analyzer can be an infrared gas analyzer.

[0150] Obtain air temperature, atmospheric pressure, and the dimensions of the test chamber; obtain the unit carbon flux based on the atmospheric pressure, CO2 concentration, and dimensions; obtain the total carbon sink flux based on the unit carbon flux, the first preset time period, and the second preset time period, such as the total carbon sink during the day minus the total carbon sink at night; obtain the carbon sink amount NV based on the total carbon sink flux. CS .

[0151] To obtain CO2 flux under different light and temperature conditions, tests were conducted on an annual or semi-annual basis (including the entire growing season under full temperature and light conditions) for flux calculation. For application-oriented purposes, a flux table facilitating value selection should be compiled based on the calculation results; the standard format is shown in Table 1. For specific rooftop greening development projects, the annual NV... CS The carbon sink standard flux table and formulas (1)-(3) can be used to calculate the actual temperature and light conditions.

[0152] Table 1 Standard Flux of Carbon Sequestration from Green Rooftops

[0153]

[0154] C. Obtain the total biomass based on the aforementioned renewable energy pathway, and obtain the carbon emission reduction (NV) based on the total biomass. BS ;

[0155] In terms of absolute CO2 exchange between the ground and the atmosphere, bioenergy supply pathways do not contribute to carbon reduction in the built environment because the CO2 fixed during photosynthesis is released back into the atmosphere. However, as alternatives to traditional energy sources, such as natural gas replacing gasoline and gas-fired water heating replacing electric water heating, they can promote carbon emission reduction. This is because the carbon emission factor of natural gas is 56,100 kg CO2 TJ. -1 The carbon emission factor of TJ is less than that of gasoline (69,300 kg CO2). -1 (Source: IPCC emission factor database 2006) and grid carbon emission factor 161389 kg CO2 TJ -1 (Average value of China's power grid as published by the Ministry of Ecology and Environment).

[0156] Therefore, in this embodiment, the reduction in carbon emissions resulting from using biomethane instead of gasoline of the same calorific value is used to characterize the carbon emission reduction (NV). BS Carbon emission reduction (NV) BS Based on the number of biomass harvests, and taking into account the total amount of biomass, the difference between the methane carbon emission coefficient and the vehicle gasoline carbon emission coefficient, and the difference between the methane carbon emission coefficient and the power grid carbon emission coefficient, the carbon emission reduction NV is calculated using formulas (4)-(5). BS .

[0157] D. Using a typical day, based on the aforementioned operational carbon reduction path, obtain the canopy surface temperature of the rooftop greening; obtain the first net radiation based on the canopy surface temperature; obtain the second net radiation of the canopy based on radiation measurement equipment; obtain the latent heat flux based on the first and second net radiation; obtain the air conditioning power consumption based on the latent heat flux; and obtain the operational carbon reduction amount (NV) based on the air conditioning power consumption. OC .

[0158] Green roofs are mainly used for roof insulation and space cooling in summer. According to the local space energy balance, under steady-state conditions (the horizontal energy inflow and outflow in the space above the roof are the same), the energy balance of the surface space of the green roof is as shown in equation (12):

[0159] R n =H+LE+G; (12)

[0160] Among them, R nThe net radiative flux is the net radiative flux, which can be read by the net radiometer. H is the turbulent sensible heat flux; LE is the heat lost through evaporation and transpiration; and G is the heat flux transferred downwards.

[0161] The energy transfer process is as follows: R n As the sole energy source for rooftop greening, a portion of the heat flux directly affects the indoor thermal environment via G, while another portion affects the outdoor thermal environment via H and indirectly impacts the indoor thermal environment, both increasing the air conditioning load. A further portion of energy, LE, is converted into latent heat (internal energy) through evaporation; a higher LE is more beneficial for reducing the summer air conditioning load.

[0162] Therefore, in this embodiment, the carbon emission savings due to the reduced air conditioning load are calculated based on latent heat. The latent heat calculation is based on the Penman equation, and to eliminate the impedance coefficient (r... a r s By introducing a zero-evaporation reference canopy, formulas (6) and (7) are obtained. The carbon reduction NV is calculated based on the fact that all the latent heat of roof greening is applied to the air conditioning load. OC The calculation method is based on formulas (8) to (9).

[0163] Since plant transpiration primarily occurs on sunny days, the carbon reduction (NV) is... OC Calculations should be performed on a typical astronomical scale. In this embodiment, the carbon reduction NV is calculated based on the World Meteorological Organization (WMO) weather classification recommendations. OC Calculations are only performed on sunny summer days (cloud cover less than 2 / 8 oktas, temperature above 25°C).

[0164] 3. Based on the aforementioned sub-item data and core indicators, obtain core data, and based on the core data, obtain the assessment results of the development potential of rooftop greening; wherein, the core indicators include carbon payback period and overall carbon potential.

[0165] Obtain the implicit carbon baseline value calculated over a 40-year lifecycle, and obtain the carbon sink NV. CS Carbon emission reduction (NV) BS and operating carbon reduction NV OC The annual average value is used to calculate the carbon recovery period and total carbon potential, respectively, by referring to formulas (10) and (11).

[0166] The carbon coefficient method refers to "material usage (or maintenance method, such as watering, pruning, etc.) × carbon emission coefficient". The carbon emission coefficient of materials can be found in the "carbon emission inventory" standard established by the ecological and environmental departments; the carbon emission coefficient of maintenance methods needs to be calculated by separately testing water consumption, fuel consumption, electricity consumption, etc.

[0167] Typical day: Calculating carbon sink NV CSIn this context, a typical day refers to one sunny day selected each month (according to the World Meteorological Organization (WMO) definition, a sunny day is defined as one with less than 2 / 8 oktas of cloud cover); the carbon reduction (NV) is calculated as follows. OC At that time, a typical day is a sunny day with a temperature above 25°C (according to the World Meteorological Organization (WMO) regulations, a day with less than 2 / 8 oktas of cloud cover can be considered a sunny day).

[0168] Example 4

[0169] Based on the above embodiments, this embodiment provides a method for assessing the development potential of rooftop greening, the method comprising:

[0170] A matrix testing platform is constructed based on core variables and rooftop greening, which is used to evaluate the development potential of rooftop greening.

[0171] The life cycle of the rooftop greening is obtained, and the life cycle is divided into several stages. Based on all the stages and the core variables, a carbon sequestration calculation path is obtained. Sub-indicators are obtained based on the calculation path. The calculation path includes implicit carbon path, biological carbon sequestration path, renewable energy path and operational carbon reduction path.

[0172] Obtain breakdown data on carbon potential;

[0173] Based on the aforementioned sub-item data and core indicators, core data is obtained, and based on the core data, an assessment result of the potential for rooftop greening development is obtained.

[0174] The sub-data includes implicit carbon baseline NV. EC Carbon sequestration NV CS Carbon emission reduction (NV) BS and operating carbon reduction NV OC The method for obtaining the sub-item data is as follows:

[0175] Based on the core variables, rooftop greening is divided into several categories, and the implicit carbon content of rooftop greening is obtained. Based on the implicit carbon pathway, the rooftop greening category, and the implicit carbon content, the implicit carbon baseline (NV) for each rooftop greening category is obtained. EC ;

[0176] Based on the aforementioned biological carbon sink pathway and the aforementioned matrix testing platform, the soil respiration of rooftop greening was tested to obtain test parameters, and the carbon sink amount (NV) was obtained based on these test parameters. CS ;

[0177] The renewable energy pathway yields the total biomass, and the carbon emission reduction (NV) is obtained based on the total biomass. BS ;

[0178] Based on the aforementioned carbon reduction path, the canopy surface temperature of the rooftop greening is obtained; a first net radiation is obtained based on the canopy surface temperature; a second net radiation of the canopy is obtained using a radiation measurement device; latent heat flux is obtained based on the first and second net radiation; air conditioning power consumption is obtained based on the latent heat flux; and the carbon reduction amount (NV) is obtained based on the air conditioning power consumption. OC .

[0179] Although preferred embodiments of the invention have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including both the preferred embodiments and all changes and modifications falling within the scope of the invention.

[0180] Obviously, those skilled in the art can make various modifications and variations to this invention without departing from its spirit and scope. Therefore, if these modifications and variations fall within the scope of the claims of this invention and their equivalents, this invention also intends to include these modifications and variations.

Claims

1. A system for assessing the development potential of rooftop greening, characterized in that, The system includes: Platform Unit: Used to construct a matrix test platform based on core variables and rooftop greening, which is used to evaluate the development potential of rooftop greening; Indicator Unit: Used to obtain the life cycle of the rooftop greening, divide the life cycle into several stages, obtain the carbon sequestration calculation path based on all the stages and the core variables, and obtain sub-indicators based on the calculation path. The calculation path includes implicit carbon path, biological carbon sequestration path, renewable energy path and operational carbon reduction path. Calculation unit: Used to obtain sub-data on carbon potential; Evaluation Unit: Used to obtain core data based on the sub-item data and core indicators, and to obtain the evaluation result of the potential for rooftop greening development based on the core data; The sub-data includes implicit carbon baseline NV. EC Carbon sequestration NV CS Carbon emission reduction (NV) BS and operating carbon reduction NV OC The method for obtaining the sub-item data is as follows: Based on the core variables, rooftop greening is divided into several categories, and the implicit carbon content of rooftop greening is obtained. Based on the implicit carbon pathway, the rooftop greening category, and the implicit carbon content, the implicit carbon baseline (NV) for each rooftop greening category is obtained. EC ; Based on the described biological carbon sink pathway and the array testing platform, the test chamber tests the soil respiration of rooftop greening to obtain test parameters, and the carbon sink amount (NV) is obtained based on the test parameters. CS ; The renewable energy pathway yields the total biomass, and the carbon emission reduction (NV) is obtained based on the total biomass. BS ; Based on the aforementioned carbon reduction path, the canopy surface temperature of the rooftop greening is obtained; a first net radiation is obtained based on the canopy surface temperature; a second net radiation of the canopy is obtained using a radiation measurement device; latent heat flux is obtained based on the first and second net radiation; air conditioning power consumption is obtained based on the latent heat flux; and the carbon reduction amount (NV) is obtained based on the air conditioning power consumption. OC ; The specific steps for obtaining the test parameters include: covering the test box with a shield, obtaining the first parameter of the test box based on a first preset time period and a preset time interval using a detection device; removing the shield of the test box, obtaining the second parameter of the test box based on a second preset time period and the preset time interval using a detection device, and obtaining the test parameters based on the first parameter and the second parameter. The carbon sink NV was obtained based on the test parameters. CS The specific steps include: analyzing the test parameters using a gas analyzer to obtain the CO2 concentration; acquiring the air temperature, atmospheric pressure, and dimensions of the test chamber; obtaining the unit carbon flux based on the atmospheric pressure, CO2 concentration, and dimensions; obtaining the total carbon sink flux based on the unit carbon flux, the first preset time period, and the second preset time period; and obtaining the carbon sink amount NV based on the total carbon sink flux. CS ; The array testing platform includes several testing devices. Each testing device includes an iron frame and a planting platform. The iron frame and the planting platform are connected. A temperature measuring device is provided at the top of the iron frame. The planting platform includes several protective panels and planting boards. The protective panels and the planting boards are connected. The planting platform has built-in insulation cotton. The specific steps for constructing the array test platform include: installing substrates of different depths on each planting board, planting different plant species in the substrate, classifying the plants into different drought stresses, pre-embedding air chamber slots in the substrate, and using the air chamber slots to install the test boxes; The latent heat flux represents the heat exchange per unit area under constant temperature conditions; The formula for calculating the latent heat flux is: ； in, Represents latent heat flux, This indicates the second net radiation. Indicates the first net radiation. This represents the surface temperature of the non-transpiration reference canopy. Indicates the surface temperature of the canopy. Indicates air temperature.

2. The rooftop greening development potential assessment system according to claim 1, characterized in that, The core variables include substrate depth, plant species, and drought stress.

3. The rooftop greening development potential assessment system according to claim 2, characterized in that, The specific steps to obtain several rooftop greening classifications include: Based on the substrate depth, the roof greening is divided into all the roof greening categories, including extensive roof greening, semi-intensive roof greening and intensive roof greening.

4. The rooftop greening development potential assessment system according to claim 3, characterized in that, The implicit carbon baseline values ​​for the extensive green roof, the semi-intensive green roof, and the intensive green roof are 45.26 kgCO2 m³. −2 92.36 kg CO2m −2 and 148.59 kg CO2 m −2 .

5. The rooftop greening development potential assessment system according to claim 1, characterized in that, The sub-indicators include implicit carbon normalization indicators, biological carbon sink normalization indicators, renewable energy normalization indicators, and operational carbon reduction normalization indicators. The core indicators include carbon payback period and overall carbon potential.

6. A method for assessing the development potential of rooftop greening, characterized in that, The method includes: A matrix testing platform is constructed based on core variables and rooftop greening, which is used to evaluate the development potential of rooftop greening. The life cycle of the rooftop greening is obtained, and the life cycle is divided into several stages. Based on all the stages and the core variables, a carbon sequestration calculation path is obtained. Sub-indicators are obtained based on the calculation path. The calculation path includes implicit carbon path, biological carbon sequestration path, renewable energy path and operational carbon reduction path. Obtain breakdown data on carbon potential; Based on the aforementioned sub-item data and core indicators, core data is obtained, and based on the core data, an assessment result of the potential for rooftop greening development is obtained. The sub-data includes implicit carbon baseline NV. EC Carbon sequestration NV CS Carbon emission reduction (NV) BS and operating carbon reduction NV OC The method for obtaining the sub-item data is as follows: Based on the core variables, rooftop greening is divided into several categories, and the implicit carbon content of rooftop greening is obtained. Based on the implicit carbon pathway, the rooftop greening category, and the implicit carbon content, the implicit carbon baseline (NV) for each rooftop greening category is obtained. EC ; Based on the described biological carbon sink pathway and the array testing platform, the test chamber tests the soil respiration of rooftop greening to obtain test parameters, and the carbon sink amount (NV) is obtained based on the test parameters. CS ; The renewable energy pathway yields the total biomass, and the carbon emission reduction (NV) is obtained based on the total biomass. BS ; Based on the aforementioned carbon reduction path, the canopy surface temperature of the rooftop greening is obtained; a first net radiation is obtained based on the canopy surface temperature; a second net radiation of the canopy is obtained using a radiation measurement device; latent heat flux is obtained based on the first and second net radiation; air conditioning power consumption is obtained based on the latent heat flux; and the carbon reduction amount (NV) is obtained based on the air conditioning power consumption. OC ; The specific steps for obtaining the test parameters include: covering the test box with a shield, obtaining the first parameter of the test box based on a first preset time period and a preset time interval using a detection device; removing the shield of the test box, obtaining the second parameter of the test box based on a second preset time period and the preset time interval using a detection device, and obtaining the test parameters based on the first parameter and the second parameter. The carbon sink NV was obtained based on the test parameters. CS The specific steps include: analyzing the test parameters using a gas analyzer to obtain the CO2 concentration; acquiring the air temperature, atmospheric pressure, and dimensions of the test chamber; obtaining the unit carbon flux based on the atmospheric pressure, CO2 concentration, and dimensions; obtaining the total carbon sink flux based on the unit carbon flux, the first preset time period, and the second preset time period; and obtaining the carbon sink amount NV based on the total carbon sink flux. CS ; The array testing platform includes several testing devices. Each testing device includes an iron frame and a planting platform. The iron frame and the planting platform are connected. A temperature measuring device is provided at the top of the iron frame. The planting platform includes several protective panels and planting boards. The protective panels and the planting boards are connected. The planting platform has built-in insulation cotton. The specific steps for constructing the array test platform include: installing substrates of different depths on each planting board, planting different plant species in the substrate, classifying the plants into different drought stresses, pre-embedding air chamber slots in the substrate, and using the air chamber slots to install the test boxes; The latent heat flux represents the heat exchange per unit area under constant temperature conditions; The formula for calculating the latent heat flux is: ； in, Represents latent heat flux, This indicates the second net radiation. Indicates the first net radiation. This represents the surface temperature of the non-transpiration reference canopy. Indicates the surface temperature of the canopy. Indicates air temperature.

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