Evaluation methods, devices, equipment and media for storage and drainage capacity of urban blue and green infrastructure

Abstract

The present invention provides a method, device, equipment, and medium for evaluating the storage and drainage capacity of urban blue-green infrastructure, relating to the field of regulation and storage evaluation technology. The method includes: constructing an evaluation index system for the storage and drainage capacity of urban blue-green infrastructure; the index system comprises multiple dimensions, including spatial pattern, safe operation, management and control support, and storage and drainage effect; screening evaluation indicators based on the evaluation index system and determining their weights; determining first evaluation index values ​​within a target area based on the evaluation indicators and weights; dividing the urban area into three-level drainage zones, and determining second evaluation index values ​​at the drainage zone scale based on the first evaluation index values; and evaluating the storage and drainage capacity of urban blue-green infrastructure based on the second evaluation index values. This method improves the evaluation system, increases the evaluation dimensions, and enhances the accuracy of the evaluation.

Description

Technical Field

[0001] The present invention relates to the field of storage and regulation evaluation technology, and in particular to a method, device, equipment and medium for evaluating the storage and drainage capacity of urban blue-green infrastructure. Background Art

[0002] Urban flooding has become a prominent issue affecting public safety in Chinese cities and a major factor constraining China's economic and social development. Driven by the dual impacts of global climate change and advancing urbanization, the risk of urban flooding is increasing, posing new challenges for cities in their response to flooding. Managing urban flooding is crucial to the safety of people's lives and property, a concrete component of balancing development and security, and a crucial measure for achieving high-quality development. Blue-green infrastructure is a crucial component of urban ecosystems, playing a vital role in absorbing, storing, and releasing rainwater. The rational layout and optimal utilization of blue-green infrastructure has become a hot topic and focus of urban stormwater management research.

[0003] With the shift in approaches to urban flood control in my country, the functional positioning of urban blue-green infrastructure has also evolved. Simultaneously, the continued advancement of sponge and resilient city development has placed new demands on urban blue-green-gray systems to respond to flooding disasters. Therefore, a scientific and systematic evaluation of the storage and drainage capacity of urban blue-green infrastructure is a crucial prerequisite for its rational layout and full utilization. However, the current evaluation system for the storage and drainage capacity of urban blue-green infrastructure remains incomplete, with limitations such as limited evaluation dimensions and indicators and relatively large evaluation scales. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a method, device, equipment and medium for evaluating the storage and drainage capacity of urban blue-green infrastructure, which improves the evaluation system, increases the evaluation dimensions and improves the average accuracy.

[0005] In a first aspect, an embodiment of the present invention provides a method for evaluating the storage and drainage capacity of urban blue-green infrastructure, including: constructing an evaluation index system for the storage and drainage capacity of urban blue-green infrastructure; the index system includes multiple dimensions; the dimensions include: spatial pattern dimension, safe operation dimension, management and control support dimension, and storage and drainage effect dimension; screening evaluation indicators based on the evaluation index system and determining the weights of the evaluation indicators; determining the first evaluation index values ​​of each target area based on the evaluation indicators and the weights; dividing the urban area into three-level drainage zones, and determining the second evaluation index values ​​on the drainage zone scale based on the first evaluation index values; and evaluating the storage and drainage capacity of urban blue-green infrastructure based on the second evaluation index values.

[0006] In a preferred embodiment of the present invention, the above-mentioned construction of an evaluation index system for the storage and drainage capacity of urban blue-green infrastructure includes: generating an initial evaluation index set based on predetermined construction requirements; obtaining final evaluation indicators through screening by correlation analysis based on the initial evaluation index set; obtaining spatial pattern dimension, safe operation dimension, management and control support dimension and storage and drainage effect dimension based on the final evaluation index division; constructing an evaluation index system for the storage and drainage capacity of urban blue-green infrastructure based on the spatial pattern dimension, safe operation dimension, management and control support dimension and storage and drainage effect dimension.

[0007] In a preferred embodiment of the present invention, the above-mentioned screening of evaluation indicators based on the evaluation index system and determining the weights of the evaluation indicators include: selecting river and lake water surface ratio, green space ratio, green space concentration index, and green space fragmentation index from the initial evaluation index set as evaluation indicators of the spatial pattern dimension; selecting flood control embankment compliance rate and backbone drainage channel compliance rate from the initial evaluation index set as evaluation indicators of the safe operation dimension; selecting the ecological coastline ratio and the ratio that meets the sponge city construction standards from the initial evaluation index set as evaluation indicators of the management and control support dimension; selecting the green space ratio with rainwater storage function, the degree of support of urban rivers on the drainage network, and the blue-green integration degree from the initial evaluation index set as evaluation indicators of the storage and drainage effect dimension; and using the hierarchical analysis method and the entropy weight method to determine the weight of each evaluation indicator.

[0008] In a preferred embodiment of the present invention, the above-mentioned first evaluation index values ​​include: river and lake water surface ratio, green space ratio, green space concentration index and green space fragmentation index, flood control embankment compliance rate, backbone drainage channel compliance rate, ecological coastline ratio and proportion meeting sponge city construction standards, green space ratio with rainwater storage and regulation function, the degree of support of urban inland rivers on drainage pipelines and the degree of blue-green integration; the first evaluation index values ​​in the target area are determined based on the evaluation indicators and weights, including: based on the evaluation indicators of the spatial pattern dimension, ArcGIS and Fragstats are used to calculate the river and lake water surface ratio, green space ratio, green space concentration index and green space fragmentation index; based on the evaluation indicators of the safe operation dimension and the evaluation indicators of the management and control support dimension, mathematical statistics methods are used to calculate the flood control embankment compliance rate, backbone drainage channel compliance rate, ecological coastline ratio and proportion meeting sponge city construction standards; based on the evaluation indicators of the storage and drainage effect dimension, ArcGIS and the urban stormwater model are combined to calculate the proportion of green space with rainwater storage and regulation function, the degree of support of urban inland rivers on drainage pipelines and the degree of blue-green integration.

[0009] In a preferred embodiment of the present invention, the above-mentioned evaluation index based on the storage and drainage effect dimension is combined with ArcGIS and the urban stormwater model to calculate the proportion of green space with the function of regulating rainwater, the degree of support of urban rivers on the drainage network, and the degree of blue-green integration, including: based on the drainage network and terrain data of the target area, establishing a SWMM model and a LISFLOOD-FP model, and coupling the models to obtain a coupled model; based on the coupled model, simulating the river water level and surface water accumulation under the design return period of rainfall to obtain simulation results; based on the simulation results, calculating the proportion of green space with the function of regulating rainwater, the degree of support of urban rivers on the drainage network, and the degree of blue-green integration.

[0010] In a preferred embodiment of the present invention, the above-mentioned three-level drainage zoning of the urban area includes: based on the natural geographical conditions, using the ArcGIS hydrological analysis method to divide the first-level natural watershed; based on the first-level natural watershed, combined with the planned rainwater pipe network flow direction, outlet location and road boundaries, correcting the first-level watershed and dividing it into second-level drainage zones; based on the second-level drainage zones, combined with the secondary branch pipe network and historical waterlogging point data, dividing it into third-level drainage zones.

[0011] In a preferred embodiment of the present invention, the storage and drainage capacity of the urban blue-green infrastructure is evaluated based on the second evaluation index value, including: grading the evaluation index using the natural break point method based on the second evaluation index value to determine the evaluation grade grading boundaries and grading standards of the evaluation index; obtaining the evaluation value of each dimension based on each weight; and calculating the comprehensive score of the storage and drainage capacity evaluation of the urban blue-green infrastructure based on the weight of each dimension to evaluate the storage and drainage capacity of the urban blue-green infrastructure.

[0012] In the second aspect, an embodiment of the present invention also provides an urban blue-green infrastructure storage and drainage capacity evaluation device, including: an evaluation index system construction module, used to construct an urban blue-green infrastructure storage and drainage capacity evaluation index system; the index system includes multiple dimensions; the dimensions include: spatial pattern dimension, safe operation dimension, management and control support dimension and storage and drainage effect dimension; an evaluation index screening module, used to screen evaluation indicators based on the evaluation index system and determine the weights of the evaluation indicators; a first evaluation index value determination module, used to determine the first evaluation index values ​​in the target area based on the evaluation indicators and weights; a second evaluation index value determination module, used to divide the urban area into three-level drainage zones, and determine the second evaluation index value on the drainage zone scale based on the first evaluation index value; a storage and drainage capacity evaluation module, used to evaluate the storage and drainage capacity of the urban blue-green infrastructure based on the second evaluation index value.

[0013] In a third aspect, an embodiment of the present invention further provides an electronic device comprising a processor and a memory, wherein the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the urban blue-green infrastructure storage and drainage capacity evaluation method of the first aspect mentioned above.

[0014] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the urban blue-green infrastructure storage and drainage capacity evaluation method of the first aspect mentioned above.

[0015] The embodiments of the present invention bring the following beneficial effects:

[0016] The embodiments of the present invention provide a method, device, equipment, and medium for evaluating the storage and drainage capacity of urban blue-green infrastructure. This method constructs an evaluation index system for the storage and drainage capacity of urban blue-green infrastructure. The index system includes multiple dimensions, including spatial pattern dimension, safe operation dimension, control support dimension, and storage and drainage effect dimension. Based on the evaluation index system, evaluation indicators are screened and their weights are determined. Based on the evaluation indicators and weights, first evaluation index values ​​are determined within the target area. The urban area is divided into three levels of drainage zones. Based on the first evaluation index values, second evaluation index values ​​at the drainage zone scale are determined. The storage and drainage capacity of urban blue-green infrastructure is evaluated based on the second evaluation index values. This method improves the evaluation system, increases the evaluation dimensions, and improves the accuracy of the evaluation.

[0017] Other features and advantages of the present disclosure will be set forth in the following description, or some features and advantages may be inferred or unambiguously determined from the description, or may be learned by practicing the above-mentioned technology of the present disclosure.

[0018] In order to make the above-mentioned objectives, features and advantages of the present disclosure more obvious and easy to understand, preferred embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the specific embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 A flow chart of a method for evaluating the storage and drainage capacity of urban blue-green infrastructure provided by an embodiment of the present invention;

[0021] Figure 2 A flow chart of another method for evaluating the storage and drainage capacity of urban blue-green infrastructure provided by an embodiment of the present invention;

[0022] Figure 3A schematic diagram of the structure of a device for evaluating the storage and drainage capacity of urban blue-green infrastructure provided by an embodiment of the present invention;

[0023] Figure 4 A schematic structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0024] To make the objectives, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of them. All other embodiments obtained by ordinary technicians in this field based on the embodiments of the present invention without making any creative efforts shall fall within the scope of protection of the present invention.

[0025] Urban flooding has become a prominent issue affecting public safety in Chinese cities and a major factor constraining China's economic and social development. Driven by the dual impacts of global climate change and advancing urbanization, the risk of urban flooding is increasing, posing new challenges for cities in their response to flooding. Managing urban flooding is crucial to the safety of people's lives and property, a concrete component of balancing development and security, and a crucial measure for achieving high-quality development. Blue-green infrastructure is a crucial component of urban ecosystems, playing a vital role in absorbing, storing, and releasing rainwater. The rational layout and optimal utilization of blue-green infrastructure has become a hot topic and focus of urban stormwater management research.

[0026] With the shift in approaches to urban flood control in my country, the functional positioning of urban blue-green infrastructure has also evolved. Simultaneously, the continued advancement of sponge and resilient city development has placed new demands on urban blue-green-gray systems to respond to flooding disasters. Therefore, a scientific and systematic evaluation of the storage and drainage capacity of urban blue-green infrastructure is a crucial prerequisite for its rational layout and full utilization. However, the current evaluation system for the storage and drainage capacity of urban blue-green infrastructure remains incomplete, with limitations such as limited evaluation dimensions and indicators and relatively large evaluation scales.

[0027] Based on this, the embodiments of the present invention provide a method, device, equipment, and medium for evaluating the storage and drainage capacity of urban blue-green infrastructure. This method can construct an evaluation index system for the storage and drainage capacity of urban blue-green infrastructure. The index system includes multiple dimensions, including: spatial pattern dimension, safe operation dimension, management and control support dimension, and storage and drainage effect dimension. Based on the evaluation index system, the evaluation indicators are screened and the weights of the evaluation indicators are determined. Based on the evaluation indicators and weights, the first evaluation index values ​​of each target area are determined, the urban area is divided into three levels of drainage zones, and the second evaluation index values ​​on the drainage zone scale are determined based on the first evaluation index values. The storage and drainage capacity of urban blue-green infrastructure is evaluated based on the second evaluation index values. In this method, the evaluation system is improved, the evaluation dimensions are increased, and the accuracy of the evaluation is improved.

[0028] To facilitate understanding of this embodiment, a method for evaluating the storage and drainage capacity of urban blue-green infrastructure disclosed in an embodiment of the present invention is first introduced in detail.

[0029] Example 1

[0030] The embodiment of the present invention provides a method for evaluating the storage and drainage capacity of urban blue and green infrastructure. Figure 1 This is a flow chart of a method for evaluating the storage and drainage capacity of urban blue-green infrastructure provided by an embodiment of the present invention. Figure 1 As shown, the method for evaluating the storage and drainage capacity of urban blue-green infrastructure may include the following steps:

[0031] Step S101: construct an evaluation index system for the storage and drainage capacity of urban blue-green infrastructure.

[0032] Among them, the indicator system includes multiple dimensions; the dimensions include: spatial pattern dimension, safe operation dimension, management and control support dimension and storage and discharge effect dimension.

[0033] Among them, characteristics refer to spatial patterns, reflecting the natural endowment of urban blue-green infrastructure, and embodying the blue-green infrastructure's own ability to store and discharge rainwater; operation and maintenance refer to safe operation, reflecting the operation of water conservancy projects related to urban blue-green infrastructure, and reflecting the degree of support of water conservancy projects for fully utilizing the storage and drainage capacity of blue-green infrastructure; management and control refer to management and control support, reflecting the protection and implementation of urban blue-green infrastructure, and reflecting the degree of guarantee for the storage and drainage capacity of urban blue-green infrastructure; effectiveness refers to storage and drainage effects, reflecting the actual storage and drainage situation of urban blue-green infrastructure, and reflecting the degree of regulation of urban blue-green infrastructure on rainwater (rainstorm).

[0034] Specifically, constructing an evaluation index system for the storage and drainage capacity of urban blue-green infrastructure can include: generating an initial evaluation index set based on predetermined construction requirements; obtaining final evaluation indicators through screening through correlation analysis based on the initial evaluation index set; obtaining spatial pattern dimensions, safe operation dimensions, management and control support dimensions, and storage and drainage effect dimensions based on the final evaluation indicators; constructing an evaluation index system for the storage and drainage capacity of urban blue-green infrastructure based on the spatial pattern dimensions, safe operation dimensions, management and control support dimensions, and storage and drainage effect dimensions.

[0035] Among them, according to the requirements of sponge city and resilient city construction, relevant literature on urban waterlogging control, blue-green infrastructure planning, rainwater management, etc. can be collected, and combined with actual conditions, indicators with higher frequency of use can be proposed or selected to generate an evaluation index set.

[0036] Among them, the final evaluation index system can be obtained by applying the relevant analysis method and expert consultation method in accordance with the principles of comprehensiveness, operability, independence and quantifiability.

[0037] Step S102: Screening evaluation indicators based on the evaluation indicator system and determining the weights of the evaluation indicators.

[0038] Specifically, screening evaluation indicators based on the evaluation index system and determining the weights of the evaluation indicators may include: selecting river and lake water surface ratio, green space ratio, green space concentration index, and green space fragmentation index from the initial evaluation index set as evaluation indicators for the spatial pattern dimension; selecting flood embankment compliance rate and backbone drainage channel compliance rate from the initial evaluation index set as evaluation indicators for the safe operation dimension; selecting the proportion of ecological coastlines and the proportion that meet sponge city construction standards from the initial evaluation index set as evaluation indicators for the management and control support dimension; selecting the proportion of green spaces with rainwater storage and regulation functions, the degree of support of urban rivers on drainage pipelines, and the degree of blue-green integration from the initial evaluation index set as evaluation indicators for the storage and drainage effect dimension; and using the hierarchical analysis method and the entropy weight method to determine the weights of each evaluation indicator.

[0039] For ease of understanding, Table 1 shows the construction of evaluation indicators for the storage and drainage capacity of urban blue and green infrastructure.

[0040] Table 1:

[0041]

[0042] (1) Target layer

[0043] The target layer is a single target, namely the overall target of urban blue-green infrastructure storage and drainage capacity, which reflects the comprehensive storage and drainage capacity of urban blue-green infrastructure. The purpose of the blue-green infrastructure storage and drainage capacity evaluation is to systematically evaluate the actual storage and drainage status of urban blue-green infrastructure for rainwater by comprehensively considering the regional blue-green infrastructure characteristics, operation level, management level and regulation effectiveness.

[0044] (2) Standards layer

[0045] The criterion layer is an organic part of the target layer, which represents the dimension and is divided into four aspects:

[0046] 1) Spatial pattern, which reflects the natural endowment of the city’s blue-green infrastructure and its own ability to store and discharge rainwater.

[0047] 2) Safe operation, which reflects the operation status of water conservancy projects related to urban blue and green infrastructure, and reflects the degree to which water conservancy projects support the full utilization of the storage and drainage capacity of blue and green infrastructure.

[0048] 3) Storage and drainage effect, which reflects the actual storage and drainage situation of urban blue-green infrastructure and the degree to which urban blue-green infrastructure regulates rainwater (rainstorm).

[0049] 4) Management and control support, which reflects the protection and control implementation of urban blue and green infrastructure, and reflects the degree of protection of the storage and drainage capacity of urban blue and green infrastructure.

[0050] (3) Indicator layer

[0051] The specific meanings and calculation formulas of the evaluation indicators of the storage and drainage capacity of blue and green infrastructure in each city are as follows:

[0052] ①River and lake water surface ratio: the percentage of river and lake area in a region to the area of ​​the region.

[0053]

[0054] Wherein, WSR is the water surface ratio of rivers and lakes (%); SW is the area of ​​rivers and lakes (km 2 ); ST is the area of ​​the region (km 2 ).

[0055] ②Green space ratio: the percentage of green space in a region to the area of ​​the region.

[0056]

[0057] Among them, GR is green space ratio (%); S G is the green area (km 2 );S T is the area (km 2 ).

[0058] ③ Green space aggregation index (COHESION): reflects the degree of patch aggregation of the same landscape type. The higher the value, the higher the patch cohesion.

[0059]

[0060] Among them, P ijis the perimeter of the green patch ij in pixel mode; a ij is the area of ​​green patch ij in pixel form; Z is the total number of pixels in the landscape; and n is the total number of green patches.

[0061] ④ Green space fragmentation (DIVISION): reflects the degree of dispersion of patches of the same landscape type. When its value is equal to 0, the landscape type is composed of a single patch; when it approaches 1, the landscape type is composed of multiple small patches.

[0062]

[0063] Among them, a i is the area of ​​the i-th green patch; Z is the total green area within the study, and n is the total number of green patches.

[0064] ⑤ Flood control embankment compliance rate: the ratio of the length of flood control embankments that meet the requirements of relevant planning flood control standards to the total length of the existing embankments.

[0065]

[0066] Among them, FPDCR is the flood control embankment compliance rate (%); L D is the length of the embankment that meets the standards (km); L TD is the total length of the embankment (km).

[0067] ⑥ Compliance rate of backbone drainage channels: the ratio of the length of first-level drainage channels that meet the standards to the total length of first-level drainage channels in the region.

[0068]

[0069] Among them, CCR is the compliance rate of backbone drainage channels (%); L C L is the length of the first-level drainage channel that meets the standards (km); TC is the total length of the first-level drainage channel (km).

[0070] ⑦ The proportion of green land with rainwater storage function: the proportion of green land with rainwater storage function in the region to the total green land area.

[0071]

[0072] Among them, SDGR is the proportion of green space with rainwater storage function (%); S SDG The green area with rainwater storage function (km 2 );S G is the green area (km 2 ).

[0073] ⑧ The degree of support of urban rivers on drainage pipe networks: the proportion of the number of rainwater pipe network outlets supported by rivers in the region to the total number of rainwater pipe network outlets.

[0074]

[0075] Among them, BE is the degree of support of urban rivers to drainage pipe network (%); N BESWO NSWO is the number of stormwater pipe network outlets supported by the river; NSWO is the number of stormwater pipe network outlets.

[0076] ⑨Blue-green integration degree: the proportion of green space adjacent to water bodies in the region to the total area.

[0077]

[0078] Among them, BGI is the blue-green fusion degree (%); S BGG is the area of ​​green land adjacent to water bodies (km 2 ); ST is the area of ​​the region (km 2 ).

[0079] ⑩ Ecological shoreline ratio: the ratio of the length of the river ecological shoreline to the total length of the river shoreline.

[0080]

[0081] Among them, ESR is the ecological shoreline ratio (%); L RES is the length of the river ecological bank (km); L RS is the length of the river bank (km).

[0082] ⑪The proportion of areas that meet the standards for sponge city construction: the proportion of the area in the region that meets the standards for sponge city construction to the total area.

[0083]

[0084] Among them, SCR is the proportion of sponge city construction standards (%); S SC To meet the construction standards of sponge cities (km 2 );S T is the area (km 2 ).

[0085] Step S103: determining first evaluation index values ​​within the target area based on the evaluation index and the weight.

[0086] Among them, the first evaluation index values ​​include: river and lake water surface ratio, green space ratio, green space concentration index and green space fragmentation index, flood control embankment compliance rate, backbone drainage channel compliance rate, ecological coastline ratio and the proportion that meets sponge city construction standards, the proportion of green space with rainwater regulation and storage function, the degree of support of urban rivers for drainage pipelines and the degree of blue-green integration.

[0087] The first evaluation index can be calculated using a combination of statistical analysis and urban stormwater models. ArcGIS and Fragstats are used to calculate indicators such as river and lake surface ratio, green space ratio, green space aggregation index, and green space fragmentation index. Mathematical statistics are used to calculate flood control embankment compliance rate, backbone drainage channel compliance rate, ecological shoreline ratio, and the proportion of indicators that meet sponge city construction standards. ArcGIS and urban stormwater models are used to calculate the proportion of green space with rainwater storage and regulation functions, the degree of support provided by urban rivers to the drainage network, and the degree of blue-green integration.

[0088] Step S104: Divide the urban area into three-level drainage zones, and determine a second evaluation index value at the drainage zone scale based on the first evaluation index value.

[0089] Specifically, the three-level drainage zoning of urban areas can include: dividing the first-level natural watershed area based on natural geographical conditions using the ArcGIS hydrological analysis method; based on the first-level natural watershed area, combined with the planned rainwater pipe network flow direction, outlet location and road boundaries, revising the first-level watershed area and dividing it into second-level drainage zones; based on the second-level drainage zones, combined with the secondary branch pipe network and historical waterlogging point data, dividing the third-level drainage zones.

[0090] 1) Based on multi-source datasets, ArcGIS's hydrological analysis tools can be used to correct depressions in elevation data, generate depression-free data, and determine flow direction using a single-flow algorithm. Natural and river networks can be generated based on water accumulation thresholds, and primary watershed divisions can be generated based on river networks and watersheds. 2) Based on multi-source datasets, ArcGIS's vector masking tools can be used to extract the elevation values ​​of study area roads from the elevation data to generate a road elevation raster. Road elevations can be adjusted to fixed values ​​or offsets to construct a virtual terrain. Based on the virtual terrain, ArcGIS's multi-ring buffer tool can be used to set road distances and generate road buffers. Using the masking tool, a terrain raster surrounding the roads can be generated. Road elevations can then be compared with the surrounding terrain to correct the study area's elevation data. Using ArcGIS's hydrological analysis tools, a new flow direction matrix and revised primary catchment areas were generated based on the corrected elevation data. 3) Based on multi-source datasets, ArcGIS's utility network analysis method was used to create a utility network for the outlet data. Network topology rules were defined, upstream and downstream drainage pipelines were labeled, and a drainage network diagram was generated. Based on the outlet locations, upstream nodes and segments were collected using a depth-first search or breadth-first search to identify all nodes and segments upstream of the outlets. 4) Based on the study area and the locations of drainage network nodes, ArcGIS's Thiessen polygon tool was used to preliminarily delineate subcatchments. Using ArcGIS's merge tool, the subcatchments corresponding to all nodes and segments upstream of the junction of the branch and trunk networks with the main network were merged. Combining the revised primary catchment areas with the urban drainage network orientation, ArcGIS's overlay analysis tool was used to generate secondary drainage zones, ensuring that each secondary zone corresponded to a drainage trunk. 5) Based on the defined secondary drainage zones, ArcGIS's merge tool was used to merge the sub-catchments corresponding to all nodes and sections upstream of the intersection of the secondary branch and trunk networks with the main trunk network, resulting in preliminary tertiary drainage zones based on the secondary branch and trunk networks. Historical waterlogging points were superimposed on the preliminary tertiary drainage zones, and variables such as waterlogging points, terrain slope, and network density were standardized. Clustering algorithms (K-means, DBSCAN) were used to generate waterlogging point zones. Spatial overlay statistical analysis methods were used to merge or split the preliminary tertiary drainage zones with the waterlogging point zones to form tertiary drainage zones.

[0091] Specifically, for indicators with raster attributes, such as river and lake surface ratio, green space ratio, green space aggregation index, green space fragmentation index, proportion of green space with rainwater storage and regulation functions, blue-green integration index, and proportion meeting sponge city construction standards, the raster is superimposed on the drainage zone, and the area-weighted average method is used to calculate the secondary evaluation index value at the drainage zone scale. For regional statistical indicators such as the compliance rate of flood control levees, the compliance rate of backbone drainage channels, the proportion of ecological shorelines, and the degree of support of urban inland rivers for the drainage network, the indicators within the drainage zone are standardized (0-1); drainage zones without flood control levees, drainage channels, ecological shorelines, or outlets are given a score of 0.

[0092] 1) For raster attribute indicators, such as river and lake surface ratio, green space ratio, green space aggregation index, green space fragmentation index, proportion of green space with rainwater storage and regulation functions, blue-green integration index, and proportion of areas meeting sponge city construction standards, ArcGIS's spatial overlay analysis tool was used to overlay the raster layer with the vector layer of the three-level drainage zone. The raster data was clipped to the three-level drainage zone, and the secondary evaluation indicator value within the three-level drainage zone was calculated using the area-weighted average method. 2) For linear / point vector attribute indicators, such as the flood control levee compliance rate, backbone drainage channel compliance rate, ecological shoreline ratio, and the degree of support of urban inland rivers for drainage networks, ArcGIS's spatial overlay analysis tool was used to overlay the linear vector layer with the vector layer of the three-level drainage zone. The data values ​​within the three-level drainage zone were clipped to obtain the data values ​​within the three-level drainage zone. The indicator values ​​within the drainage zone were normalized (0-1). Areas without flood control levees, drainage channels, ecological shorelines, or drainage network outlets within the three-level drainage zone were assigned an indicator value of 0.

[0093] Step S105: Evaluate the storage and drainage capacity of the urban blue-green infrastructure based on the second evaluation index value.

[0094] Specifically, the storage and drainage capacity of the urban blue-green infrastructure is evaluated based on the second evaluation index value, including: grading the evaluation index using the natural break point method based on the second evaluation index value, and determining the evaluation grade grading boundaries and grading standards of the evaluation index; obtaining the evaluation value of each dimension based on each weight; and calculating the comprehensive score of the storage and drainage capacity evaluation of the urban blue-green infrastructure based on the weight of each dimension to evaluate the storage and drainage capacity of the urban blue-green infrastructure.

[0095] Among them, the weighted summation method is used to obtain the evaluation value of each dimension, and the multi-criteria integration method is used based on the weight of each dimension to calculate the comprehensive score of the urban blue-green infrastructure storage and drainage capacity evaluation.

[0096] The method for evaluating the storage and drainage capacity of urban blue-green infrastructure provided by the embodiment of the present invention can be achieved by constructing an evaluation index system for the storage and drainage capacity of urban blue-green infrastructure. The index system includes multiple dimensions, including: spatial pattern dimension, safe operation dimension, control support dimension, and storage and drainage effect dimension. Based on the evaluation index system, evaluation indicators are screened and the weights of the evaluation indicators are determined. Based on the evaluation indicators and weights, the first evaluation index values ​​of each target area are determined, the urban area is divided into three levels of drainage zones, and the second evaluation index values ​​on the drainage zone scale are determined based on the first evaluation index values. The storage and drainage capacity of urban blue-green infrastructure is evaluated based on the second evaluation index values. In this method, a multi-dimensional evaluation index system of spatial pattern, safe operation, control support, and storage and drainage effect is constructed, thereby increasing the evaluation dimensions and improving the evaluation system. A method for evaluating the storage and drainage capacity of urban blue-green infrastructure based on the drainage zone scale is proposed, which improves the accuracy of the evaluation and provides technical support for scientifically and systematically evaluating the storage and drainage capacity of urban blue-green infrastructure for rainwater and rationally planning and laying out urban blue-green infrastructure.

[0097] Example 2

[0098] An embodiment of the present invention also provides another method for evaluating the storage and drainage capacity of urban blue-green infrastructure; this method is implemented on the basis of the method in the above embodiment; this method focuses on describing the specific implementation method of determining the first evaluation index values ​​in the target area based on evaluation indicators and weights.

[0099] Figure 2 A flow chart of another method for evaluating the storage and drainage capacity of urban blue-green infrastructure provided by an embodiment of the present invention is shown in FIG. Figure 2 As shown, the method for determining the first evaluation index values ​​in the target area based on the evaluation index and the weight may include the following steps:

[0100] Step S201: Based on the evaluation indicators of the spatial pattern dimension, ArcGIS and Fragstats are used to calculate the river and lake water surface ratio, green space ratio, green space concentration index and green space fragmentation index.

[0101] Step S202, based on the evaluation indicators of the safe operation dimension and the evaluation indicators of the management and control support dimension, mathematical statistics methods are used to calculate the flood control embankment compliance rate, the backbone drainage channel compliance rate, the ecological coastline ratio and the ratio that meets the sponge city construction standards.

[0102] Step S203, based on the evaluation indicators of the storage and drainage effect dimension, combined with ArcGIS and the urban stormwater model, calculate the proportion of green space with rainwater storage function, the degree of support of urban rivers on the drainage network, and the degree of blue-green integration.

[0103] Specifically, based on the evaluation indicators of the storage and drainage effect dimension, ArcGIS and the urban stormwater model are combined to calculate the proportion of green spaces with rainwater storage and regulation functions, the degree of support of urban rivers on the drainage network, and the degree of blue-green integration. This can include: based on the drainage network and terrain data of the target area, establishing a SWMM model and a LISFLOOD-FP model, and coupling the models to obtain a coupled model; based on the coupled model, simulating the river water level and surface water accumulation under the design rainfall recurrence period to obtain simulation results; based on the simulation results, calculating the proportion of green spaces with rainwater storage and regulation functions, the degree of support of urban rivers on the drainage network, and the degree of blue-green integration.

[0104] Among them, 1) remote sensing images, terrain elevation, pipe network topology, river hydrology, precipitation data, actual monitoring data, sponge city construction status, etc. of the study area are collected; 2) missing items, duplicate values, erroneous values, and inconsistent values ​​in the multi-source data are supplemented, eliminated, updated, etc. to complete the multi-source data cleaning and form a multi-source dataset after data cleaning; 3) the time and space elements of the multi-source dataset after data cleaning are aligned, and resampling and interpolation are used for the time elements, and coordinate system conversion, projection transformation, image registration, etc. are used for the spatial elements to form a multi-source dataset after time and space alignment; 4) based on the multi-source dataset after time and space alignment, supervised classification is used to interpret the remote sensing images to form land use data including buildings, pavements, roads, green spaces, water bodies, unused land, etc.; 5) based on the multi-source dataset, the land use data is reclassified using ArcGIS raster calculation tools. Combined with the reclassified data, the Fragstats moving window method was used to calculate the evaluation indicators for river and lake water surface ratio, green space ratio, green space concentration index, and green space fragmentation index. 6) Based on multi-source datasets, ArcGIS statistical calculation tools were used to calculate the proportion of areas meeting sponge city construction standards and the ecological shoreline ratio evaluation indicators. The buffer tool was used to calculate the blue-green integration evaluation indicator. 7) Based on the multi-source datasets, a SWMM model of the study area was established to simulate the one-dimensional drainage network flow and one-dimensional river confluence. A LISFLOOD-FP model of the study area was established to simulate two-dimensional overland flow. Using the C++ programming language, the node overflow output from the SWMM model simulation results was input as a boundary condition into the LISFLOOD-FP model. The surface water depth from the LISFLOOD-FP model simulation results was output and the flow was calculated using the orifice submerged outflow formula. This flow was input as the node inflow into the SWMM model, achieving a coupled interaction between the two models. Based on the coupling model, the water level of urban rivers during the design return period of rainfall was simulated. If the water level in a section of river exceeded the river crest elevation, the section did not meet the standard; otherwise, it met the standard. The length of river sections that met the standard was calculated, and the compliance rate of backbone drainage channels in key waterlogged areas was calculated. Based on the coupling model, the water level of urban rivers during the design return period of rainfall was simulated. If the water level in a section of river exceeded the bottom elevation of the pipe network outlet, the outlet was supported by the river; otherwise, it was not supported. The number of rainwater pipe network outlets supported by the river was counted, and the degree of support provided by urban rivers to the drainage network was calculated. Based on the coupling model, the degree of overlap between the location of urban green spaces and the location of surface waterlogging during the design return period of rainfall was simulated and calculated. If the overlap area between the location of green spaces and the location of surface waterlogging exceeded 80% and was lower than the surrounding ground elevation, the green space had the function of regulating rainwater; otherwise, it did not. The area of ​​green spaces that could regulate rainwater was counted, and the proportion of green spaces that could regulate rainwater was calculated.

[0105] Example 3

[0106] Corresponding to the above method embodiment, the embodiment of the present invention provides a device for evaluating the storage and drainage capacity of urban blue-green infrastructure. Figure 3 A schematic diagram of a device for evaluating the storage and drainage capacity of urban blue-green infrastructure provided by an embodiment of the present invention is shown in FIG. Figure 3 As shown, the urban blue-green infrastructure storage and drainage capacity evaluation device may include:

[0107] Evaluation index system construction module 301 is used to construct an evaluation index system for the storage and drainage capacity of urban blue and green infrastructure; the index system includes multiple dimensions, including: spatial pattern dimension, safe operation dimension, management and control support dimension, and storage and drainage effect dimension;

[0108] An evaluation index screening module 302 is used to screen evaluation indicators based on the evaluation index system and determine the weights of the evaluation indicators;

[0109] A first evaluation index value determination module 303 is configured to determine first evaluation index values ​​within a target area based on the evaluation index and the weight;

[0110] A second evaluation index value determination module 304 is configured to divide the urban area into three-level drainage zones and determine a second evaluation index value at the drainage zone scale based on the first evaluation index value;

[0111] The storage and drainage capacity evaluation module 305 is used to evaluate the storage and drainage capacity of the urban blue-green infrastructure based on the second evaluation index value.

[0112] The urban blue-green infrastructure storage and drainage capacity evaluation device provided by the embodiment of the present invention can construct an urban blue-green infrastructure storage and drainage capacity evaluation index system. The index system includes multiple dimensions, including: spatial pattern dimension, safe operation dimension, control support dimension and storage and drainage effect dimension. Based on the evaluation index system, the evaluation index is screened and the weight of the evaluation index is determined. Based on the evaluation index and the weight, the first evaluation index value of each target area is determined, and the urban area is divided into three levels of drainage zones. The second evaluation index value at the drainage zone scale is determined based on the first evaluation index value. The storage and drainage capacity of the urban blue-green infrastructure is evaluated based on the second evaluation index value. In this method, a multi-dimensional evaluation index system of spatial pattern, safe operation, control support, and storage and drainage effect is constructed, thereby increasing the evaluation dimensions and improving the evaluation system. A method for evaluating the storage and drainage capacity of urban blue-green infrastructure based on the drainage zone scale is proposed, which improves the accuracy of the evaluation and provides technical support for scientifically and systematically evaluating the storage and drainage capacity of urban blue-green infrastructure for rainwater and rationally planning and laying out urban blue-green infrastructure.

[0113] In some embodiments, the evaluation index system construction module is also used to generate an initial evaluation index set based on predetermined construction requirements; obtain the final evaluation index based on the initial evaluation index set through correlation analysis; obtain the spatial pattern dimension, safe operation dimension, management and control support dimension and storage and drainage effect dimension based on the final evaluation index division; and construct an urban blue-green infrastructure storage and drainage capacity evaluation index system based on the spatial pattern dimension, safe operation dimension, management and control support dimension and storage and drainage effect dimension.

[0114] In some embodiments, the evaluation index screening module is also used to select river and lake water surface ratio, green space ratio, green space concentration index, and green space fragmentation index from the initial evaluation index set as evaluation indicators of the spatial pattern dimension; select flood control embankment compliance rate and backbone drainage channel compliance rate from the initial evaluation index set as evaluation indicators of the safe operation dimension; select the ecological coastline ratio and the proportion that meets the sponge city construction standards from the initial evaluation index set as evaluation indicators of the management and control support dimension; select the proportion of green space with rainwater storage function, the degree of support of urban rivers on drainage pipelines, and the blue-green integration degree from the initial evaluation index set as evaluation indicators of the storage and drainage effect dimension; and use the hierarchical analysis method and entropy weight method to determine the weight of each evaluation indicator.

[0115] In some embodiments, the first evaluation index value includes: river and lake water surface ratio, green space ratio, green space concentration index and green space fragmentation index, flood control embankment compliance rate, backbone drainage channel compliance rate, ecological coastline ratio and the proportion of sponge city construction standards, the proportion of green space with rainwater storage function, the degree of support of urban rivers on drainage pipelines and the degree of blue-green integration; the first evaluation index value determination module is also used for evaluation indicators based on spatial pattern dimension, using ArcGIS and Fragstats to calculate river and lake water surface ratio, green space ratio, green space concentration index and green space fragmentation index; based on evaluation indicators of safe operation dimension and evaluation indicators of management and control support dimension, mathematical statistics methods are used to calculate flood control embankment compliance rate, backbone drainage channel compliance rate, ecological coastline ratio and the proportion of sponge city construction standards; based on evaluation indicators of storage and drainage effect dimension, ArcGIS and urban stormwater model are combined to calculate the proportion of green space with rainwater storage function, the degree of support of urban rivers on drainage pipelines and the degree of blue-green integration.

[0116] In some embodiments, the first evaluation index value determination module is also used to establish a SWMM model and a LISFLOOD-FP model based on the drainage network and terrain data of the target area, and perform model coupling to obtain a coupled model; based on the coupled model, the river water level and surface water accumulation under the design rainfall recurrence period are simulated to obtain simulation results; based on the simulation results, the proportion of green space with rainwater storage function, the degree of support of urban rivers on the drainage network, and the degree of blue-green integration are calculated.

[0117] In some embodiments, the second evaluation index value determination module is also used to divide the first-level natural watershed area based on natural geographical conditions using the ArcGIS hydrological analysis method; based on the first-level natural watershed area, combined with the planned rainwater pipe network flow direction, outlet location and road boundaries, the first-level watershed area is corrected and divided into second-level drainage zones; based on the second-level drainage zones, combined with the secondary branch pipe network and historical waterlogging point data, the third-level drainage zones are divided.

[0118] In some embodiments, the storage and drainage capacity evaluation module is also used to grade the evaluation indicators based on the second evaluation index value using the natural break point method to determine the evaluation level classification boundaries and classification standards of the evaluation indicators; obtain the evaluation value of each dimension based on each weight; calculate the comprehensive score of the storage and drainage capacity evaluation of the urban blue-green infrastructure based on the weight of each dimension to evaluate the storage and drainage capacity of the urban blue-green infrastructure.

[0119] The device provided in the embodiment of the present invention has the same implementation principle and technical effects as those in the aforementioned method embodiment. For the sake of brief description, for matters not mentioned in the device embodiment, reference can be made to the corresponding content in the aforementioned method embodiment.

[0120] Example 4

[0121] The embodiment of the present invention also provides an electronic device for running the above-mentioned urban blue-green infrastructure storage and drainage capacity evaluation method; see Figure 4 A structural schematic diagram of an electronic device is shown, which includes a memory 400 and a processor 401, wherein the memory 400 is used to store one or more computer instructions, and the one or more computer instructions are executed by the processor 401 to implement the above-mentioned urban blue-green infrastructure storage and drainage capacity evaluation method.

[0122] Furthermore, Figure 4 The electronic device shown further includes a bus 402 and a communication interface 403 , and the processor 401 , the communication interface 403 and the memory 400 are connected via the bus 402 .

[0123] The memory 400 may include high-speed random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage. The communication connection between the system network element and at least one other network element is achieved through at least one communication interface 403 (which may be wired or wireless), and the Internet, wide area network, local area network, metropolitan area network, etc. may be used. The bus 402 may be an ISA bus, a PCI bus, or an EISA bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one bidirectional arrow is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0124] The processor 401 may be an integrated circuit chip with signal processing capabilities. During implementation, each step of the above method can be completed by hardware integrated logic circuits in the processor 401 or by software instructions. The above processor 401 may be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it may also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the various methods, steps, and logic block diagrams disclosed in the embodiments of the present invention. The general-purpose processor may be a microprocessor or any conventional processor. The steps of the method disclosed in conjunction with the embodiments of the present invention can be directly implemented and executed by a hardware decoding processor, or by a combination of hardware and software modules in the decoding processor. The software module can be located in a storage medium well-known in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, etc. The storage medium is located in memory 400, and processor 401 reads the information in memory 400 and, in conjunction with its hardware, completes the steps of the method of the aforementioned embodiment.

[0125] An embodiment of the present invention also provides a computer-readable storage medium, which stores computer-executable instructions. When the computer-executable instructions are called and executed by a processor, the computer-executable instructions prompt the processor to implement the above-mentioned urban blue-green infrastructure storage and drainage capacity evaluation method. The specific implementation can be found in the method embodiment, which will not be repeated here.

[0126] The computer program product for the method for evaluating the storage and drainage capacity of urban blue-green infrastructure provided in the embodiment of the present invention includes a computer-readable storage medium storing non-volatile program code executable by a processor. The instructions included in the program code can be used to execute the method described in the previous method embodiment. The specific implementation can be found in the method embodiment and will not be repeated here.

[0127] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0128] In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is merely a logical function division. There may be other division methods in actual implementation. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed may be through some communication interface, indirect coupling or communication connection of devices or units, which may be electrical, mechanical or other forms.

[0129] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple network units. Some or all of these units may be selected to achieve the purpose of this embodiment according to actual needs.

[0130] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.

[0131] If the functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage media include various media capable of storing program code, such as USB flash drives, mobile hard drives, read-only memories (ROMs), random access memories (RAMs), magnetic disks, or optical disks.

[0132] Finally, it should be noted that the above-described embodiments are only specific implementation methods of the present invention, which are used to illustrate the technical solutions of the present invention, rather than to limit them. The scope of protection of the present invention is not limited thereto. Although the present invention has been described in detail with reference to the above-described embodiments, those skilled in the art should understand that any person skilled in the art can modify or easily conceive of changes to the technical solutions described in the above-described embodiments within the technical scope disclosed by the present invention, or replace some of the technical features therein with equivalents. Such modifications, changes, or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the scope of protection of the present invention. Therefore, the scope of protection of the present invention should be based on the scope of protection of the claims.

Claims

1. A method for evaluating the storage and drainage capacity of urban blue and green infrastructure, characterized in that: The method comprises: Establish an evaluation index system for the storage and drainage capacity of urban blue and green infrastructure; the index system includes multiple dimensions, including spatial pattern dimension, safe operation dimension, management and control support dimension, and storage and drainage effect dimension; Screening evaluation indicators based on the evaluation indicator system and determining the weights of the evaluation indicators; Determine each first evaluation index value within the target area based on the evaluation index and the weight; Divide the urban area into three-level drainage zones, and determine a second evaluation index value at the drainage zone scale based on the first evaluation index value; Evaluate the storage and drainage capacity of the urban blue-green infrastructure based on the second evaluation index value; The evaluation index system for urban blue-green infrastructure storage and drainage capacity is constructed, including: Generate an initial set of evaluation indicators based on pre-determined construction requirements; Based on the initial evaluation index set, a final evaluation index is obtained by screening through a correlation analysis method; Based on the final evaluation index, the spatial pattern dimension, safe operation dimension, control support dimension and storage and drainage effect dimension are obtained; Based on the spatial pattern dimension, safe operation dimension, control support dimension, and storage and drainage effect dimension, an evaluation index system for the storage and drainage capacity of urban blue-green infrastructure is constructed; The step of screening evaluation indicators based on the evaluation indicator system and determining the weights of the evaluation indicators includes: Select river and lake water surface ratio, green space ratio, green space concentration index, and green space fragmentation index from the initial evaluation index set as evaluation indicators of spatial pattern dimension; Selecting the flood control embankment compliance rate and the backbone drainage channel compliance rate from the initial evaluation index set as evaluation indicators for the safe operation dimension; Select the ecological coastline ratio and the ratio that meets the sponge city construction standards from the initial evaluation index set as evaluation indicators for the management and control support dimension; From the initial evaluation index set, the proportion of green space with rainwater storage function, the degree of support of urban rivers on the drainage network, and the degree of integration of blue and green areas are selected as evaluation indicators of the storage and drainage effect dimension; The weights of the evaluation indicators are determined by using the analytic hierarchy process and entropy weight method; The first evaluation index values ​​include: river and lake surface ratio, green space ratio, green space concentration index and green space fragmentation index, flood control embankment compliance rate, backbone drainage channel compliance rate, ecological coastline ratio and proportion meeting sponge city construction standards, proportion of green space with rainwater storage function, support degree of urban inland rivers to drainage network and blue-green integration; Determining the first evaluation index values ​​within the target area based on the evaluation index and the weight includes: Based on the evaluation indicators of the spatial pattern dimension, ArcGIS and Fragstats were used to calculate the river and lake water surface ratio, green space ratio, green space aggregation index, and green space fragmentation index; Based on the evaluation indicators of the safe operation dimension and the evaluation indicators of the control support dimension, mathematical statistics methods are used to calculate the flood control embankment compliance rate, the backbone drainage channel compliance rate, the ecological coastline ratio, and the ratio that meets the sponge city construction standards; Based on the evaluation indicators of the storage and drainage effect dimension, ArcGIS and urban stormwater models were used to calculate the proportion of green spaces with rainwater storage functions, the degree of support provided by urban rivers to the drainage network, and the degree of integration of blue and green areas. The evaluation indicators based on the storage and drainage effect dimension are combined with ArcGIS and urban stormwater models to calculate the proportion of green spaces with rainwater storage functions, the degree of support for the drainage network by urban rivers, and the degree of integration of blue and green areas, including: Based on the drainage network and terrain data of the target area, a SWMM model and a LISFLOOD-FP model are established, and the models are coupled to obtain a coupled model; Based on the coupling model, the river water level and surface water accumulation conditions under the designed rainfall return period are simulated to obtain simulation results; Based on the simulation results, calculate the proportion of green space with rainwater storage function, the degree of support of urban rivers on the drainage network, and the degree of integration of blue and green areas; The three-level drainage zoning of the urban area includes: Based on the natural geographical conditions, the ArcGIS hydrological analysis method was used to divide the first-level natural watershed areas; Based on the primary natural catchment area, combined with the planned rainwater pipe network flow direction, outlet location and road boundaries, the primary catchment area is revised and the secondary drainage zones are divided; Based on the secondary drainage zoning, combined with the secondary branch pipe network and historical waterlogging point data, the third level drainage zoning is divided.

2. The method according to claim 1, characterized in that The evaluating the storage and drainage capacity of the urban blue-green infrastructure based on the second evaluation index value includes: Based on the second evaluation index value, the evaluation index is graded using the natural break point method to determine the evaluation grade classification boundary and classification standard of the evaluation index; Obtaining an evaluation value for each dimension based on each of the weights; The comprehensive score of the storage and drainage capacity evaluation of urban blue-green infrastructure is calculated based on the weights of each dimension to evaluate the storage and drainage capacity of urban blue-green infrastructure.

3. A device for evaluating the storage and drainage capacity of urban blue and green infrastructure, characterized in that: The device is used to implement the method for evaluating the storage and drainage capacity of urban blue-green infrastructure according to any one of claims 1 or 2, comprising: An evaluation index system construction module is used to construct an evaluation index system for the storage and drainage capacity of urban blue and green infrastructure; the index system includes multiple dimensions, including: spatial pattern dimension, safe operation dimension, management and control support dimension, and storage and drainage effect dimension; An evaluation index screening module, used to screen evaluation indicators based on the evaluation index system and determine the weights of the evaluation indicators; A first evaluation index value determination module, configured to determine each first evaluation index value within a target area based on the evaluation index and the weight; A second evaluation index value determination module is used to divide the urban area into three-level drainage zones and determine a second evaluation index value at the drainage zone scale based on the first evaluation index value; The storage and drainage capacity evaluation module is used to evaluate the storage and drainage capacity of the urban blue-green infrastructure based on the second evaluation index value.

4. An electronic device, characterized in that: It includes a processor and a memory, the memory stores computer-executable instructions that can be executed by the processor, and the processor executes the computer-executable instructions to implement the urban blue-green infrastructure storage and drainage capacity evaluation method described in any one of claims 1 or 2.

5. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions. When the computer-executable instructions are called and executed by the processor, the computer-executable instructions prompt the processor to implement the urban blue-green infrastructure storage and drainage capacity evaluation method described in any one of claims 1 or 2.

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