AU2021102983A4 - Method and system for measuring accessibility of ecological effect of green space on building energy consumption carbon emission reduction - Google Patents
Method and system for measuring accessibility of ecological effect of green space on building energy consumption carbon emission reduction Download PDFInfo
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Abstract
OF THE DISCLOSURE
The present disclosure relates to a method and system for measuring accessibility of an
ecological effect of green space on building energy consumption carbon emission reduction. The
method includes: determining a to-be-measured range based on a source-flow-sink theory;
obtaining a supply of a carbon emission reduction-specific ecological service of a green space
landscape pattern and a demand of a green space-based ecological service for building energy
consumption carbon emission reduction; constructing a supply-demand mapping relationship
table based on the demand of the green space-based ecological service and the supply of the
carbon emission reduction-specific ecological service; determining, based on the supply-demand
mapping relationship table, a service capability of providing a type-j ecological service by the
green space landscape pattern; determining a type-i demand of a target building for the type-j
ecological service; obtaining a spatial friction coefficient, and determining, based on the spatial
friction coefficient, a cost distance from the target building to the place providing the type-j
ecological service; and determining accessibility of an ecological effect of the green space
landscape pattern by using an improved universal-gravitation potential model based on the
service capability, the type-i demand, and the cost distance. The present disclosure realizes
scientific and quantitative measurement of the ecological effect of the green space landscape
pattern on building energy consumption carbon emission reduction.
-1/3
Determine a to-be-measured range based on a source-flow-sink theory SI0
Obtain a supply of a carbon emission reduction-specific ecological service of a green
space landscape pattern and a demand of a green space-based ecological service that is
for carbon emission reduction related to building-specific energy consumption and that
is of the green space landscape pattern within the to-be-measured range; and construct a S102
supply-demand mapping relationship table based on the supply of the carbon emission
reduction-specific ecological service of the green space landscape pattern and the
demand of the green space-based ecological service that is for carbon emission
reduction related to building-specific energy consumption and that is of the green space
landscape pattern
Determine, based on the supply-demand mapping relationship table, a service capability S103
of providing a type-j ecological service by the green space landscape pattern within the
to-be-measured range
S104
Determine a type-i demand of a target building for the type-j ecological service within
the to-be-measured range
Obtain a spatial friction coefficient, and determine, based on the spatial friction S105
coefficient, a cost distance from the target building to providing of the type-j ecological
service
Determine accessibility of an ecological effect of the green space landscape pattern by
using an improved universal-gravitation potential model based on the service capability S106
of providing the type-j ecological service by the green space landscape pattern, the type-i
demand of the target building for the type-j ecological service, and the cost distance
from the target building to providing of the type-j ecological service
FIG. 1
Description
-1/3
Determine a to-be-measured range based on a source-flow-sink theory SI0
Obtain a supply of a carbon emission reduction-specific ecological service of a green space landscape pattern and a demand of a green space-based ecological service that is for carbon emission reduction related to building-specific energy consumption and that is of the green space landscape pattern within the to-be-measured range; and construct a S102 supply-demand mapping relationship table based on the supply of the carbon emission reduction-specific ecological service of the green space landscape pattern and the demand of the green space-based ecological service that is for carbon emission reduction related to building-specific energy consumption and that is of the green space landscape pattern
Determine, based on the supply-demand mapping relationship table, a service capability S103 of providing a type-j ecological service by the green space landscape pattern within the to-be-measured range
S104 Determine a type-i demand of a target building for the type-j ecological service within the to-be-measured range
Obtain a spatial friction coefficient, and determine, based on the spatial friction S105 coefficient, a cost distance from the target building to providing of the type-j ecological service
Determine accessibility of an ecological effect of the green space landscape pattern by using an improved universal-gravitation potential model based on the service capability S106 of providing the type-j ecological service by the green space landscape pattern, the type-i demand of the target building for the type-j ecological service, and the cost distance from the target building to providing of the type-j ecological service
FIG. 1
[01] The present disclosure relates to the fields of landscape ecology, physics, and geography, and in particular, to a method and system for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction.
[02] With the rapid development of global urbanization, urban energy consumption gradually increases, and energy shortage and energy pollution are becoming increasingly serious. Building energy consumption carbon emissions account for about one third of global greenhouse gas emissions, resulting in increasingly prominent contradiction between building energy consumption carbon emissions and sustainable urban development. In addition, by influencing a local microclimate environment outside buildings and comfortableness inside the buildings, green space in urban ecology can drive carbon emissions of building operational energy consumption.
[03] Therefore, there is an urgent need for a method for accurately, scientifically, and quantitatively analyzing accessibility of an ecological effect of the green space landscape pattern oriented to building energy consumption carbon emission reduction.
[04] An objective of the present disclosure is to provide a method and system for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction, realizing scientific and quantitative measurement of an ecological effect of a green space landscape pattern on building energy consumption carbon emission reduction.
[05] To achieve the above purpose, the present disclosure provides the following technical solutions:
[06] A method for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction includes:
[07] determining a to-be-measured range based on a source-flow-sink theory, where the to-be-measured range is a buffering zone centered on a target building and determined based on a service radius of an ecological effect of a green space landscape pattern; in the source-flow-sink theory, green space is used as a "source", a service process of the ecological effect is used as a "flow", and the target building is used as a "sink" of the ecological effect; and the green space landscape pattern is an indicator of the green space;
[08] obtaining a supply of a carbon emission reduction-specific ecological service of the green space landscape pattern and a demand of a green space-based ecological service for building energy consumption carbon emission reduction within the to-be-measured range; and constructing a supply-demand mapping relationship table based on the supply of the carbon emission reduction-specific ecological service of the green space landscape pattern and the demand of the green space-based ecological service for building energy consumption carbon emission reduction, where the building energy consumption carbon emission reduction is to reduce C02 emissions in an energy consumption process during operation and use of a building;
[09] determining, based on the supply-demand mapping relationship table, a service capability of providing a type-j ecological service by the green space landscape pattern within the to-be-measured range, where the service capability is an index value of a single-type green space landscape pattern, and the index value of the single-type green space landscape pattern is green space coverage or a largest patch index;
[10] determining a type-i demand of the target building for the type-j ecological service within the to-be-measured range, where the type-i demand of the target building for the type-j ecological service is a building representation parameter for building carbon emission, and the building representation parameter for building carbon emission is building area, energy consumption members, or carbon emissions of building operational energy consumption;
[11] obtaining a spatial friction coefficient, and determining, based on the spatial friction coefficient, a cost distance from the target building to the place providing the type-j ecological service; and
[12] determining accessibility of the ecological effect of the green space landscape pattern by using an improved universal-gravitation potential model based on the service capability of providing the type-j ecological service by the green space landscape pattern, the type-i demand of the target building for the type-j ecological service, and the cost distance from the target building to the place providing the type-j ecological service.
[13] Optionally, the obtaining a spatial friction coefficient, and determining, based on the spatial friction coefficient, a cost distance from the target building to the place providing the type-j ecological service specifically includes:
[14] determining, according to a formula (1+)xD, , the cost distance from the target building i to the place providing the type-j ecological service, where
[15] Y represents the cost distance from the target building i to the place providing the
type-j ecological service, P represents the spatial friction coefficient, and Di represents a spatially linear distance from the target building i to the place providing the type-j ecological service.
[16] Optionally, the determining accessibility of the ecological effect of the green space landscape pattern by using an improved universal-gravitation potential model based on the service capability of providing the type-j ecological service by the green space landscape pattern, the type-i demand of the target building for the type-j ecological service, and the cost distance from the target building to the place providing the type-j ecological service specifically includes:
[17] determining the accessibility of the ecological effect of the green space landscape pattern S
according to aformula ' ,~i where
[18] represents the accessibility of the type-j ecological service obtained for carbon emission reduction related to the target building i, Si represents the service capability of providing the type-j ecological service by the green space landscape pattern, and Vi represents the type-i demand of the target building for the type-j ecological service.
[19] Optionally, the service radius of the ecological effect is 200 m, 500 m, or 1000 m.
[20] A system for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction includes:
[21] a to-be-measured range determining module, configured to determine a to-be-measured range based on a source-flow-sink theory, where the to-be-measured range is a buffering zone centered on a target building and determined based on a service radius of an ecological effect of a green space landscape pattern; in the source-flow-sink theory, green space is used as a "source", a service process of the ecological effect is used as a "flow", and the target building is used as a "sink" of the ecological effect; and the green space landscape pattern is an indicator of the green space;
[22] a supply-demand mapping relationship table determining module, configured to obtain a supply of a carbon emission reduction-specific ecological service of the green space landscape pattern and a demand of a green space-based ecological service for building energy consumption carbon emission reduction within the to-be-measured range; and construct a supply-demand mapping relationship table based on the supply of the carbon emission reduction-specific ecological service of the green space landscape pattern and the demand of the green space-based ecological service for building energy consumption carbon emission reduction, where the building energy consumption carbon emission reduction is to reduce C02 emissions in an energy consumption process during operation and use of a building;
[23] a service capability determining module, configured to determine, based on the supply-demand mapping relationship table, a service capability of providing a type-j ecological service by the green space landscape pattern within the to-be-measured range, where the service capability is an index value of a single-type green space landscape pattern, and the index value of the single-type green space landscape pattern is green space coverage or a largest patch index;
[24] a demand determining module, configured to determine a type-i demand of the target building for the type-j ecological service within the to-be-measured range, where the type-i demand of the target building for the type-j ecological service is a building representation parameter for building carbon emission, and the building representation parameter for building carbon emission is building area, energy consumption members, or carbon emissions of building operational energy consumption;
[25] a cost distance determining module, configured to obtain a spatial friction coefficient, and determine, based on the spatial friction coefficient, a cost distance from the target building to the place providing the type-j ecological service; and
[26] an ecological-effect accessibility determining module, configured to determine accessibility of the ecological effect of the green space landscape pattern by using an improved universal-gravitation potential model based on the service capability of providing the type-j ecological service by the green space landscape pattern, the type-i demand of the target building for the type-j ecological service, and the cost distance from the target building to the place providing the type-j ecological service.
[27] Optionally, the cost distance determining module specifically includes:
[28] a cost distance determining unit, configured to determine, according to a formula L ) (11+)x , the cost distance from the target building i to the place providing the type ecological service, where DP
[29] Y represents the cost distance from the target building i to the place providing the type-j ecological service, 8 represents the spatial friction coefficient, and D i represents a spatially linear distance from the target building i to the place providing the type-j ecological service.
[30] Optionally, the ecological-effect accessibility determining module specifically includes:
[31] an ecological-effect accessibility determining unit, configured to determine the accessibility of the ecological effect of the green space landscape pattern according to a formula
S S= D V , where
[32] SY represents the accessibility of the type-j ecological service obtained for carbon emission reduction related to the target building i, Si represents the service capability of providing the type-j ecological service by the green space landscape pattern, and Vi represents the type-i demand of the target building for the type-j ecological service.
[33] Optionally, the service radius of the ecological effect is 200 m, 500 m, or 1000 m.
[34] Based on specific embodiments provided in the present disclosure, the present disclosure has the following technical effects:
[35] The method and system for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction in the present disclosure expand analysis of an ecological effect of the green space landscape pattern oriented to building energy consumption carbon emission reduction, introduce a "source-sink" theory in ecology, and couple elements including a service provider referred to as "source", namely, the green space landscape pattern, a service object referred to as "sink", namely, a target building, and an ecological process referred to as "flow". Meanwhile they use an improved universal-gravitation potential model to provide a basis for constructing a simulation model of the ecological effect of the green space landscape pattern on building carbon emission reduction. The "source-flow-sink" theory and the potential model are organically combined to realize scientific and quantitative measurement of the ecological effect of the green space landscape pattern on building energy consumption carbon emission reduction.
[36] To describe the technical solutions in embodiments of the present disclosure or in the prior art more clearly, the accompanying drawings needed in the embodiments are introduced below briefly. Apparently, the accompanying drawings in the following description show merely some embodiments of the present disclosure, and other drawings can be derived from these accompanying drawings by persons of ordinary skill in the art without creative efforts.
[37] FIG. 1 is a schematic flowchart of a method for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction according to the present disclosure;
[38] FIG. 2 is a schematic flowchart of a specific embodiment of a method for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction according to the present disclosure;
[39] FIG. 3 is a schematic diagram of distribution of a building of Wuhan Branch of the People's Bank of China (hereinafter referred to as "PBC" building) and green space within a to-be-measured range in Wuhan;
[40] FIG. 4 is a schematic diagram of an urban spatial layout within a to-be-measured range; and
[41] FIG. 5 is a schematic structural diagram of a system for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction according to the present disclosure.
[42] The following clearly and completely describes the technical solutions in the embodiments of the present disclosure with reference to the accompanying drawings in the embodiments of the present disclosure. Apparently, the described embodiments are merely a part rather than all of the embodiments of the present disclosure. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present disclosure without creative efforts shall fall within the protection scope of the present disclosure.
[43] An objective of the present disclosure is to provide a method and system for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction, realizing scientific and quantitative measurement of an ecological effect of a green space landscape pattern on building energy consumption carbon emission reduction.
[44] To make the foregoing objective, features, and advantages of the present disclosure more comprehensible, the present disclosure is further described in detail below with reference to the accompanying drawings and specific implementations.
[45] By influencing a local microclimate environment outside buildings and comfortableness inside the buildings, green space in urban ecology can drive carbon emissions of building operational energy consumption. Therefore, analysis of an ecological effect of the green space landscape pattern oriented to building energy consumption carbon emission reduction is expanded, which provides a unique perspective for research on a mechanism of influencing building carbon emission reduction by the green space landscape pattern. According to the "source-sink" theory in ecology, a spatial comprehensive ecological effect field is generated based on an interaction between the green space landscape pattern and the environment. Intensity of the ecological effect field (namely, accessibility of the ecological effect of the green space landscape pattern) reflects an internal relationship among a landscape pattern, an ecological process, and an ecological effect", and elements including a landscape service referred to as "source", a service object referred to as "sink", and an ecological process referred to as "flow" between the "source" and the "sink" are coupled. These provide a theoretical basis for constructing a relationship model of the green space landscape pattern and building carbon emission reduction. In addition, a universal-gravitation potential model widely used in the study of humanities, regional economy, and spatial interaction can better integrate the elements including the "source", the "flow", the "sink", and the processes among them. It is the way to practice the theory, and provides a basis for constructing a simulation model of the ecological effect of the green space landscape pattern on building carbon emission reduction. The "source-flow-sink" theory and the potential model are organically combined, making it easy to deeply mine a mechanism of performing building carbon emission reduction based on the green space landscape pattern.
[46] FIG. 1 is a schematic flowchart of a method for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction according to the present disclosure. As shown in FIG. 1, the method provided in the present disclosure includes the following steps:
[47] S101: Determine a to-be-measured range based on a source-flow-sink theory, where the to-be-measured range is a buffering zone centered on a target building i and determined based on a service radius of an ecological effect of a green space landscape pattern; in the source-flow-sink theory, green space is used as a "source", a service process of the ecological effect is used as a "flow", and the target building is used as a "sink" of the ecological effect; the green space landscape pattern is an indicator of the green space; and the service radius of the ecological effect is 200 m, 500 m, or 1000 m.
[48] S102: Obtain a supply of a carbon emission reduction-specific ecological service of the green space landscape pattern and a demand of a green space-based ecological service for building energy consumption carbon emission reduction within the to-be-measured range; and construct a supply-demand mapping relationship table based on the supply of the carbon emission reduction-specific ecological service of the green space landscape pattern and the demand of the green space-based ecological service for building energy consumption carbon emission reduction, where the building energy consumption carbon emission reduction is to reduce C02 emissions in an energy consumption process during operation and use of a building.
[49] S103: Determine, based on the supply-demand mapping relationship table, a service capability of providing a type-j ecological service by the green space landscape pattern within the to-be-measured range, where the service capability is an index value of a single-type green space landscape pattern, and the index value of the single-type green space landscape pattern is green space coverage or a largest patch index.
[50] S104: Determine a type-i demand of the target building for the type-j ecological service within the to-be-measured range, where the type-i demand of the target building for the type-j ecological service is a building representation parameter for building carbon emission, and the building representation parameter for building carbon emission is building area, energy consumption members, or carbon emissions of building operational energy consumption.
[51] S105: Obtain a spatial friction coefficient, and determine, based on the spatial friction coefficient, a cost distance from the target building to the place providing the type-j ecological service. The target building may be a single building, or a building group in a certain range such as a street or a community.
[52] The S105 specifically includes:
[53] determining, according to a formulaDi (1+)xD, , the cost distance from the target building i to the place providing the type-j ecological service. DP
[54] In the foregoing formula, Y represents the cost distance from the target building i to the place providing the type-j ecological service, 8 represents the spatial friction coefficient,
and DU represents a spatially linear distance from the target building i to the place providing the type-j ecological service.
[55] S106: Determine accessibility of the ecological effect of the green space landscape pattern by using an improved universal-gravitation potential model based on the service capability of providing the type-j ecological service by the green space landscape pattern, the type-i demand of the target building for the type-j ecological service, and the cost distance from the target building to the place providing the type-j ecological service.
[56] The S106 specifically includes:
[57] determining the accessibility of the ecological effect of the green space landscape pattern S.
according to aformula 4 ' .$
[58] In the foregoing formula, Y represents the accessibility of the type-j ecological service obtained for carbon emission reduction related to the target building i, Si represents the service capability of providing the type-j ecological service by the green space landscape pattern, and represents the type-i demand of the target building for the type-j ecological service.
[59] The present disclosure will be further described below with reference to the accompanying drawing and specific embodiments.
[60] Embodiment 1
[61] As shown in FIG. 2, the method includes the following steps.
[62] SI: Set green space as a "source", set a target building as a "sink" of an ecological effect, determine a buffering zone by using the target building i as a center and based on a service radius of an ecological effect of the green space landscape pattern, and use the buffering zone as the search range.
[63] In this embodiment, an accessibility measurement example in Wuhan is used to describe in detail the method for measuring an ecological effect of green space on building energy consumption carbon emission reduction. Data in 2014 is collected.
[64] In this embodiment, the green space landscape pattern is used as an indicator of the green space, and a research object that demands an ecological service of the green space landscape pattern is the PBC building. Vector data of the base of the PBC building is obtained. Buffering zones of the PBC building are centered on a center of the base of the PBC building and are determined by using 200 m, 500 m, and 1000 m as service radiuses of the ecological effect of the green space landscape pattern respectively.
[65] S2: Construct a supply-demand mapping relationship table based on a supply of a carbon emission reduction-specific ecological service of the green space landscape pattern and a demand of a green space-based ecological service for building energy consumption carbon emission reduction, and calculate the service capability S; of providing a type-j ecological service by the green space landscape pattern in the buffering zone.
[66] Green space data of Wuhan is extracted from a high-resolution remote-sensing image such as a sentinel-2 image, and green space is cut from each of the determined three buffering zones of the PBC building to obtain green space vector data of a supplier providing a carbon emission reduction-specific ecological service for the PBC building. A relationship table of mapping between a "source" (each green space patch) providing the carbon emission reduction-specific ecological service and a "sink" (target building) demanding a green space-based ecological service for building energy consumption carbon emission reduction is constructed. Distribution of the PBC building and the green space in the buffering zones is shown in FIG. 3.
[67] Plane landscape pattern indexes of the green space mainly include landscape configuration indexes for describing the perimeter- area, the shape, and the agglomeration degree. In this embodiment, the area of the green space patch is used as an index that is of a single-type green space landscape pattern and that represents the capability S; of providing the type-j ecological service. An area field of each patch of the green space is generated in the attribute table of the vector file of the green space in the buffering zone.
[681 S3: Calculate a type-i demand Vi of the building for the type-j ecological service of the green space landscape pattern in the buffering zone.
[691 Basic information of the "sink" demanding the ecological service, namely, the PBC building, is collected, including the building area, the building layers, energy consumption members, and various kinds of energy consumption data (raw coal, gasoline, diesel, natural gas, electric power, heating power, and the like). It is obtained through calculation based on the energy consumption data that carbon emissions of the PBC building operational energy consumption are 1699.01 tons of C02. In this embodiment, the demand Vi of the building for the ecological effect of carbon emission reduction of the green space landscape pattern is represented by carbon emissions of building operational energy consumption.
[701 S4: Set a resistance value of the ecological process referred to as "flow" to a spatial friction coefficient P, and calculate a cost distance ' from the site i of the building to the place providing the type-j ecological service of the green space landscape pattern.
[71] According to the "source-sink" theory in ecology, the green space landscape unit as the "source" suffers resistance from different landscape units in a process of ecological expansion to the target building referred to as the "sink". The spatial friction coefficient P is the resistance value of the ecological process referred to as "flow". The distance U, considering the spatial
friction coefficient P, from the site i to the place providing the type-j service, is the cost distance representing a source-sink connection. It is influenced by the building density and material, the green space density, the tree species composition, the air medium, the spatial barrier, friction surface roughness, and other conditions. The value of P reflects complexity of providing, by the green space landscape pattern, an ecological service for building carbon emission reduction, and can be obtained by performing experiments and inspections by persons skilled in the art.
[72] The urban micro-environment is influenced by urban compactness. In this embodiment, a Normalized 3D Compactness Index (NVCI) is used to represent the spatial friction coefficient P. The NVCI is obtained by normalizing a universal-gravitation-based 3D Compactness Index (VCI). The VCI represents compactness of an urban spatial form by using strength of spatial gravity between urban buildings. A larger VCI value leads to a more compact urban spatial layout. The NVCI uses a sphere with the same volume as a most compact normalized measurement unit of 3D urban space to normalize the VCI. Calculation formulas of the VCI and the NVCI are as follows:
1n
1 VmVn Scd 2 (m,n)
[731 N(N - 1)/2 ; and NVVCI
[741 NVCI VCImax.
[75] In the foregoing formulas, VCI represents a universal gravitation-based 3D Compactness Index of the building; V, and V, represent volume of urban buildings in any two unit 3D grids m and n respectively (m # n); d(m, n) represents a geometric distance between centroids of the buildings in the grids m and n; c represents a constant; N represents a total quantity of 3D grids, and values of c and N can be obtained by performing experiments and inspections; NVC represents the Normalized 3D Compactness Index; and VCImax represents universal gravitation-based compactness of an equivalent sphere. In this embodiment, considering the range of the buffering zone, the size of the 3D grid is defined as 50 m x 50 m x 50 m, and the value of c is set to 100 by conducting a simulation test.
[76] Therefore, calculated NVCI values of the PBC building in Wuhan within the 200 m, 500 m, and 1000 m buffering zones are 0.46, 0.04, and 0.02 respectively. FIG. 4 is a schematic diagram of the urban spatial layout within the research regions.
[77] The cost distance , considering the spatial friction coefficient, from the site i to the place providing the type-j service can be obtained according to the following formula:
[78] D = (1 + )X Dij
[791 In the foregoing formula, Di; represents a spatially linear distance from the site i to the place providing the type-j service.
[80] In the attribute table of the vector file of the green space in the buffering zone, a field representing the cost distance from each green space patch to the PBC building is generated and assigned a corresponding value. In this embodiment, the attribute table of the green space patches within the 500 m buffering zone of the PBC building is shown in Table 1.
[811 Table 1 Number of Area of the Building Building energy Source-sink Source-sink green green space name consumption carbon linear distance cost distance space patch (M2 ) emissions (CO2 in (m) (M) tons) 1 322.69 PBC 1699.01 494.37 514.04 2 2398.12 PBC 1699.01 332.54 345.77
115 172.44 PBC 1699.01 95.31 99.11
[82] S5: Expand, based on an improved universal-gravitation potential model, analysis of an ecological effect of the green space landscape pattern oriented to building energy consumption carbon emission reduction, to measure accessibility S1 of the ecological effect of the green space landscape pattern.
[83] In this embodiment, the accessibility Si; of the ecological effect of the green space landscape pattern is calculated according to the following formula: Sj
[841 D V
[85] The foregoing variables have different units and variation degrees. Data standardization can eliminate the dimensional relationship between the variables, to make data comparable.
[86] After data standardization, accessibility values of ecological effects of the green space patches in the buffering zones are calculated. Accessibility values of ecological effects of the green space landscape pattern on carbon emission reduction related to operational energy consumption of the PBC building in the 200 m, 500 m, and 1000 m buffering zones of the PBC building are obtained by averaging, and are as follows respectively:
[87] Si;200m=0.74
[881 Si500mo=0.5 8
[891 Sijiooom=0. 5 2
[901 The present disclosure expands analysis of the ecological effect of the green space landscape pattern oriented to building energy consumption carbon emission reduction, introduces the "source-sink" theory in ecology, and couples elements including a service provider referred to as "source", namely, the green space landscape pattern, the "sink", namely, the target building, and the "flow", namely, the ecological process. Meanwhile, they use the improved universal-gravitation potential model to provide a basis for constructing the simulation model of the ecological effect of the green space landscape pattern on building carbon emission reduction. The source-flow-sink theory and the potential model are organically combined to realize scientific and quantitative measurement of the ecological effect of the green space landscape pattern on building carbon emission reduction, to more scientifically and meticulously reflect influence of an ecological effect field generated based on a change of the green space landscape patter and an environment on building energy consumption carbon emission reduction. This
11) facilitates deep mining of a mechanism of building carbon emission reduction based on the green space landscape pattern.
[91] FIG 5 is a schematic structural diagram of a system for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction according to the present disclosure. As shown in FIG. 5, the system provided in the present disclosure includes:
[92] a to-be-measured range determining module 501, configured to determine a to-be-measured range based on a source-flow-sink theory, where the to-be-measured range is a buffering zone centered on a target building i and determined based on a service radius of an ecological effect of a green space landscape pattern; in the source-flow-sink theory, green space is used as a "source", a service process of the ecological effect is used as a "flow", and the target building is used as a "sink" of the ecological effect; the green space landscape pattern is an indicator of the green space; and the service radius of the ecological effect is 200 m, 500 m, or 1000 m;
[93] a supply-demand mapping relationship table determining module 502, configured to obtain a supply of a carbon emission reduction-specific ecological service of the green space landscape pattern and a demand of a green space-based ecological service for building energy consumption carbon emission reduction within the to-be-measured range; and construct a supply-demand mapping relationship table based on the supply of the carbon emission reduction-specific ecological service of the green space landscape pattern and the demand of the green space-based ecological service for the building energy consumption carbon emission reduction, where the building energy consumption carbon emission reduction is to reduce C02 emissions in an energy consumption process during operation and use of a building;
[94] a service capability determining module 503, configured to determine, based on the supply-demand mapping relationship table, a service capability of providing a type-j ecological service by the green space landscape pattern within the to-be-measured range, where the service capability is an index value of a single-type green space landscape pattern, and the index value of the single-type green space landscape pattern is green space coverage or a largest patch index;
[95] a demand determining module 504, configured to determine a type-i demand of the target building for the type-j ecological service within the to-be-measured range, where the type-i demand of the target building for the type-j ecological service is a building representation parameter for building carbon emission, and the building representation parameter for building carbon emission is building area, energy consumption members, or carbon emissions of building operational energy consumption;
[96] a cost distance determining module 505, configured to obtain a spatial friction coefficient, and determine, based on the spatial friction coefficient, a cost distance from the target building to the place providing the type-j ecological service; and
[97] an ecological-effect accessibility determining module 506, configured to determine accessibility of the ecological effect of the green space landscape pattern by using an improved universal-gravitation potential model based on the service capability of providing the type-j ecological service by the green space landscape pattern, the type-i demand of the target building for the type-j ecological service, and the cost distance from the target building to the place providing the type-j ecological service.
[98] The cost distance determining module 505 specifically includes:
[99] a cost distance determining unit, configured to determine, according to a formula D)- =1 +pl)x Di, ,the cost distance from the target building i to the place providing the type ecological service. DP
[100] In the foregoing formula, Y represents the cost distance from the target building i to the place providing the type-j ecological service, 8 represents the spatial friction coefficient,
and DU represents a spatially linear distance from the target building i to the place providing the type-j ecological service.
[101] The ecological-effect accessibility determining module 506 specifically includes:
[102] an ecological-effect accessibility determining unit, configured to determine the accessibility of the ecological effect of the green space landscape pattern according to a formula S. DP V
[103] In the foregoing formula, SY represents the accessibility of the type-j ecological service obtained for carbon emission reduction related to the target building i, Si represents the service capability of providing the type-j ecological service by the green space landscape pattern, and V represents the type-i demand of the target building for the type-j ecological service.
[104] The foregoing system for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction is applied to a specific terminal device. The terminal device includes a memory, a processor, and a computer program that is stored in the memory and can be run on the processor.
[105] Further, in an executable solution, the terminal device for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction may be a computing device such as a personal computer (PC), a palm computer, or a cloud server. The terminal device for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction may include but is not limited to the processor and the memory. Persons skilled in the art may understand that a composition structure of the terminal device for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction is merely an example of the terminal device for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction, and does not limit the terminal device for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction. The terminal device for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction may include more or fewer components than those mentioned above, or some components may be combined, or different components may be used. For example, the terminal device for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction may further include an input/output device, a network access device, a bus, and the like. The embodiments of the present disclosure are not limited to this.
[106] Further, in an executable solution, the processor may be a central processing unit (CPU), and may also be another general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or another programmable logic device, a discrete gate, a transistor logic device, a discrete hardware component, or the like. The general-purpose processor may be a microprocessor, or any conventional processor. As a control center of the terminal device for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction, the processor connects to, by using various interfaces and lines, various parts of the whole terminal device for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction.
[107] The memory may be configured to store the computer program and/or modules. The processor implements, by running or executing the computer program and/or modules stored in the memory and invoking data stored in the memory, various functions of the terminal device for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction. The memory may mainly include a program storage area and a data storage area. The program storage area may store an operating system, and an application program required by at least one function. The data storage area may store data created by a mobile phone, and the like. In addition, the memory may include a high-speed random access memory, and may further include a non-volatile memory, such as a hard disk, an internal storage, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one magnetic disk storage device, a flash memory device, or another volatile solid-state storage device.
[108] Further, the computer program is mounted on a computer-readable storage medium, and the computer program is executed by the processor to realize the steps of the method in the embodiments of the present disclosure.
[109] The module or unit integrated by the terminal device for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction, if implemented in a form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on such an understanding, all or some of processes for implementing the method in the foregoing embodiments of the present disclosure can be completed by a computer program instructing relevant hardware. The computer program may be stored in a computer-readable storage medium. When the computer program is executed by a processor, steps of the foregoing method embodiments may be implemented. The computer program includes computer program code, and the computer program code may be source code, object code, an executable file, some intermediate forms, or the like. The computer-readable medium may include: any physical entity or apparatus capable of carrying the computer program code, a recording medium, a USB disk, a mobile hard disk drive, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM), a random access memory (RAM), a software distribution medium, and the like.
[110] Each embodiment of this specification is described in a progressive manner, each embodiment focuses on the difference from other embodiments, and the same and similar parts between the embodiments may refer to each other. For the system disclosed in the embodiments, since the system corresponds to the method disclosed in the embodiments, the description is relatively simple, and reference can be made to the method description.
[111] In this specification, several specific embodiments are used for illustration of the principles and implementations of the present disclosure. The description of the foregoing embodiments is used to help illustrate the method of the present disclosure and the core ideas thereof. In addition, persons of ordinary skill in the art can make various modifications in terms of specific implementations and the scope of application in accordance with the ideas of the present disclosure. In conclusion, the content of this specification shall not be construed as a limitation to the present disclosure.
Claims (5)
1. A method for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction, comprising:
determining a to-be-measured range based on a source-flow-sink theory, wherein the to-be-measured range is a buffering zone centered on a target building and determined based on a service radius of an ecological effect of a green space landscape pattern; in the source-flow-sink theory, green space is used as a "source", a service process of the ecological effect is used as a "flow", and the target building is used as a "sink" of the ecological effect; and the green space landscape pattern is an indicator of the green space;
obtaining a supply of a carbon emission reduction-specific ecological service of the green space landscape pattern and a demand of a green space-based ecological service for building energy consumption carbon emission reduction within the to-be-measured range; and constructing a supply-demand mapping relationship table based on the supply of the carbon emission reduction-specific ecological service of the green space landscape pattern and the demand of the green space-based ecological service for building energy consumption carbon emission reduction, wherein the building energy consumption carbon emission reduction is to reduce C02 emissions in an energy consumption process during operation and use of a building;
determining, based on the supply-demand mapping relationship table, a service capability of providing a type-j ecological service by the green space landscape pattern within the to-be-measured range, wherein the service capability is an index value of a single-type green space landscape pattern, and the index value of the single-type green space landscape pattern is green space coverage or a largest patch index;
determining a type-i demand of the target building for the type-j ecological service within the to-be-measured range, wherein the type-i demand of the target building for the type-j ecological service is a building representation parameter for building carbon emission, and the building representation parameter for building carbon emission is building area, energy consumption members, or carbon emissions of building operational energy consumption;
obtaining a spatial friction coefficient, and determining, based on the spatial friction coefficient, a cost distance from the target building to the place providing the type-j ecological service; and
determining accessibility of the ecological effect of the green space landscape pattern by using an improved universal-gravitation potential model based on the service capability of providing the type-j ecological service by the green space landscape pattern, the type-i demand of the target building for the type-j ecological service, and the cost distance from the target building to the place providing the type-j ecological service.
2. The method for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction according to claim 1, wherein the obtaining a spatial friction coefficient, and determining, based on the spatial friction coefficient, a cost distance from the target building to the place providing the type-j ecological service specifically comprises:
determining, according to a formula D8 =(1+p)x Di , the cost distance from the target
building i to the place providing the type-j ecological service, wherein
DP represents the cost distance from the target building i to the place providing the type-j ecological service, # represents the spatial friction coefficient, and D represents a spatially
linear distance from the target building i to the place providing the type-j ecological service;
wherein the determining accessibility of the ecological effect of the green space landscape pattern by using an improved universal-gravitation potential model based on the service capability of providing the type-j ecological service by the green space landscape pattern, the type-i demand of the target building for the type-j ecological service, and the cost distance from the target building to the place providing the type-j ecological service specifically comprises:
determining the accessibility of the ecological effect of the green space landscape pattern S according to a formula Sg = D V, wherein
S, represents the accessibility of the type-j ecological service obtained for carbon emission reduction related to the target building i, Sj represents the service capability of providing the type-j ecological service by the green space landscape pattern, and V represents the type-i
demand of the target building for the type-j ecological service.
3. The method for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction according to claim 1, wherein the service radius of the ecological effect is 200 m, 500 m, or 1000 m.
4. A system for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction, comprising:
a to-be-measured range determining module, configured to determine a to-be-measured range based on a source-flow-sink theory, wherein the to-be-measured range is a buffering zone centered on a target building and determined based on a service radius of an ecological effect of a green space landscape pattern; in the source-flow-sink theory, green space is used as a "source", a service process of the ecological effect is used as a "flow", and the target building is used as a "sink" of the ecological effect; and the green space landscape pattern is an indicator of the green space;
a supply-demand mapping relationship table determining module, configured to obtain a supply of a carbon emission reduction-specific ecological service of the green space landscape pattern and a demand of a green space-based ecological service for building energy consumption carbon emission reduction within the to-be-measured range; and construct a supply-demand mapping relationship table based on the supply of the carbon emission reduction-specific ecological service of the green space landscape pattern and the demand of the green space-based ecological service for building energy consumption carbon emission reduction, wherein the building energy consumption carbon emission reduction is to reduce C02 emissions in an energy consumption process during operation and use of a building;
a service capability determining module, configured to determine, based on the supply-demand mapping relationship table, a service capability of providing a type-j ecological service by the green space landscape pattern within the to-be-measured range, wherein the service capability is an index value of a single-type green space landscape pattern, and the index value of the single-type green space landscape pattern is green space coverage or a largest patch index;
a demand determining module, configured to determine a type-i demand of the target building for the type-j ecological service within the to-be-measured range, wherein the type-i demand of the target building for the type-j ecological service is a building representation parameter for building carbon emission, and the building representation parameter for building carbon emission is building area, energy consumption members, or carbon emissions of building operational energy consumption;
a cost distance determining module, configured to obtain a spatial friction coefficient, and determine, based on the spatial friction coefficient, a cost distance from the target building to the place providing the type-j ecological service; and an ecological-effect accessibility determining module, configured to determine accessibility of the ecological effect of the green space landscape pattern by using an improved universal-gravitation potential model based on the service capability of providing the type-j ecological service by the green space landscape pattern, the type-i demand of the target building for the type-j ecological service, and the cost distance from the target building to the place providing the type-j ecological service.
5. The system for measuring accessibility of an ecological effect of green space on building energy consumption carbon emission reduction according to claim 4, wherein the cost distance determining module specifically comprises:
a cost distance determining unit, configured to determine, according to a formula D,8 =(1+p)x Di , the cost distance from the target building i to the place providing the type-j
ecological service, wherein
D'6 represents the cost distance from the target building i to the place providing the type-j ecological service, # represents the spatial friction coefficient, and D represents a spatially
linear distance from the target building i to the place providing the type-j ecological service;
wherein the ecological-effect accessibility determining module specifically comprises:
an ecological-effect accessibility determining unit, configured to determine the accessibility Si of the ecological effect of the green space landscape pattern according to a formula S-=D V'
wherein
S, represents the accessibility of the type-j ecological service obtained for carbon emission reduction related to the target building i, Sj represents the service capability of providing the type-j ecological service by the green space landscape pattern, and V represents the type-i
demand of the target building for the type-j ecological service;
wherein the service radius of the ecological effect is 200 m, 500 m, or 1000 m.
FIG. 1 －1/3－
FIG. 3 FIG. 2 －2/3－
FIG. 5 FIG. 4 －3/3－
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| CN115980272A (en) * | 2022-12-25 | 2023-04-18 | 中建五局(烟台)建设工程有限公司 | A carbon emission real-time monitoring system for building structure |
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| CN115980272A (en) * | 2022-12-25 | 2023-04-18 | 中建五局(烟台)建设工程有限公司 | A carbon emission real-time monitoring system for building structure |
| CN115980272B (en) * | 2022-12-25 | 2023-10-27 | 中建五局(烟台)建设工程有限公司 | Carbon emission real-time monitoring system for building structure |
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