CN118113804A - A one-click cutting and propagation method for distributed hydrological models based on cloud platform - Google Patents

Abstract

The present invention discloses a one-key cutting and propagation method of a distributed hydrological model based on a cloud platform, comprising the following steps: selecting a cutting method based on surface elements or a cutting method based on point elements according to the needs of the actual research area; determining the cutting range according to the determined cutting method; constructing a mapping relationship table of calculation units of the new and old models; and configuring an attribute table for each calculation unit to record the parameter partition number to which it belongs and all its related attributes; based on the mapping relationship table of calculation units of the new and old models and the attribute table of the calculation unit, importing the relevant data obtained from the old model database into the new model database. The advantages are: solving a large amount of repetitive work such as data collection, processing and modeling calibration in the construction of traditional hydrological models, improving the construction efficiency of hydrological models, and effectively promoting the scientificity and timeliness of work in the fields of water resources management, flood prevention and disaster reduction, and ecological environment protection.

Description

A one-click cutting and propagation method for distributed hydrological models based on cloud platform

Technical Field

The present invention relates to the technical field of hydrological model construction, and in particular to a one-key cutting and propagation method of a distributed hydrological model based on a cloud platform.

Background technique

Traditional hydrological models are usually constructed for specific watersheds or geographical areas. This process includes not only the collection of detailed field observations and historical data in the target area, but also tedious data preprocessing steps, such as data cleaning, format conversion, interpolation and correction, as well as repeated iteration, reasonable estimation and calibration of parameters of different hydrological processes based on measured runoff, groundwater level and other related numbers. When constructing multiple local or sub-basin hydrological models in the same large area, these repetitive basic tasks often lead to serious waste of resources and time. To solve this problem, researchers urgently need to develop an innovative technical means that can effectively utilize the acquired information and quickly generate hydrological models suitable for different sub-regions.

Summary of the invention

The purpose of the present invention is to provide a one-key cutting and propagation method of a distributed hydrological model based on a cloud platform, so as to solve the aforementioned problems existing in the prior art.

In order to achieve the above object, the technical solution adopted by the present invention is as follows:

A one-key cutting and propagation method of a distributed hydrological model based on a cloud platform comprises the following steps:

S1. Determine the cutting method:

The user can choose the cutting method based on area elements or point elements according to the actual needs of the research area;

S2. Determine the cutting range:

For the cutting method based on surface elements, the user specifies the watershed boundary, administrative area boundary or custom area polygon range as the cutting range of the new model; for the cutting method based on point elements, the user provides the control node of the watershed to be simulated, analyzes the spatial relationship between the control node and the calculation unit of the old model through spatial analysis, and traces back all the calculation units above each control node according to the topological relationship and coding rules between the calculation units of the old model, so as to serve as the cutting range of the new model;

S3. Construction of mapping relationship between new and old model calculation units:

Construct new codes for all calculation units obtained by cutting the cutting range based on the new model, determine the one-to-one correspondence between the new and old codes of the calculation units, and construct a mapping relationship table of the new and old model calculation units; and configure an attribute table for each calculation unit to record the parameter partition number to which it belongs and all related attributes;

S4. Construction of new model database:

Based on the mapping relationship table of calculation units between the new and old models and the attribute table of the calculation units, the geographic spatial data, text data and model parameters of the calculation units obtained from the old model are imported into the construction database of the new model, the operation database of the new model and the parameter database of the new model respectively.

Preferably, for the model cutting of the specified watershed, the specific process is as follows:

First, based on the intersection tool of cloud GIS, the calculation unit layer of the old model is cut with the specified watershed range to determine the calculation units contained in the specified watershed; then the patch fusion tool of cloud GIS is used to remove fragmented units according to the area threshold, which is used as the cutting range of the new model.

Preferably, for model cutting of a specified administrative area boundary or a custom area polygon range, the specific process is as follows:

First, based on the intersection tool of the cloud version of GIS, the calculation unit layer of the old model is cut with the specified range to determine the calculation units included in the specified range; then, starting from each calculation unit in the specified range, trace upstream according to the topological relationship and coding rules between the calculation units in the old model, accurately define the specified range and all the calculation units upstream, and take the union of all traced calculation units as the cutting range of the new model.

Preferably, for the model cutting of the specified control node, the specific process is as follows:

Through spatial analysis, the calculation unit number of each control node in the old model is determined according to the intersection tool of cloud GIS. Then, according to the topological relationship and coding rules between the calculation units in the old model, the calculation units above each control node are traced upstream to accurately define all the calculation units. The union of all traced calculation units is taken as the cutting range of the new model.

Preferably, step S3 is specifically to classify and sort all the calculation units obtained by cutting according to the new model cutting range according to the sub-basin and upstream and downstream confluence relationship, and construct a new code for each calculation unit to determine the one-to-one correspondence between the new and old codes of the calculation unit; and configure an attribute table for each calculation unit, which records the parameter partition number to which the calculation unit belongs and all its related attributes.

Preferably, step S4 specifically includes the following contents:

S41. Spatial data cutting and importing: Based on the spatial scope defined by the new model, the intersection tool of Cloud GIS is used to finely cut and extract the geospatial data of the old model. The geospatial data generated by cutting retains all the attribute values of the original data by default, and the geospatial data and its attribute values are imported into the construction database of the new model.

S42, text data extraction and import: using the constructed mapping relationship table of calculation units of the new and old models, screen out text data that matches the scope of the new model from the running database of the old model, extract the text data according to the scope of the new model, and then import it into the running database of the constructed new model;

S43. Setting and importing new model parameters: According to the parameter partition information in the calculation unit mapping table of the new and old models and the calculation unit attribute table, the model parameters of each calculation unit of the new model are extracted from the parameter database of the old model, and the model parameters are imported into the parameter database of the new model.

Preferably, the geospatial data includes DEM, land use map, vegetation distribution map, soil type map, geological structure map, water use distribution data, water conservancy project facility distribution, and river section information.

Preferably, the text data includes meteorological and hydrological historical observation data, water resource utilization data, water conservancy projects and scheduling strategies, and water conservation projects.

Preferably, the model parameters include aquifer thickness correction coefficient, soil layer thickness, pore impedance correction coefficient, soil saturated hydraulic conductivity correction coefficient, riverbed bottom material hydraulic conductivity correction coefficient, aquifer lateral hydraulic conductivity correction coefficient, and depression retention depth.

Preferably, before step S1, it also includes, based on the WEP hydrological model, collecting geographic spatial data and text data of the study area, generating a simulated river network, dividing the calculation units, performing information processing on the calculation units, establishing a distributed hydrological model of the study area and calibrating parameters, and determining the basic model that needs to be cut.

The beneficial effects of the present invention are: 1. The method of the present invention solves a large amount of repetitive work such as data collection, processing and modeling calibration in the construction of traditional hydrological models, improves the construction efficiency of hydrological models, and effectively promotes the scientificity and timeliness of work in the fields of water resources management, flood prevention and disaster reduction, and ecological environment protection. It can also provide a new perspective and tool for the research and application of hydrology, which has important academic value and practical significance. 2. In practical applications, through the refined model cutting method of the present invention, it is possible to flexibly choose to authorize the data of a specific small model to a third party for use without involving the data content of other parts of the large model, which not only meets the needs of third parties for specific application scenarios, but also strictly guarantees the security of unauthorized data, avoids the potential risk of leakage of the overall data information of the large model, and realizes the safe and controllable use of data and the maximization of economic benefits.

BRIEF DESCRIPTION OF THE DRAWINGS

Fig. 1 is a flow chart of a cutting propagation method according to an embodiment of the present invention;

FIG. 2 is a schematic diagram of generating a cutting range by different cutting methods in an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation methods described herein are only used to explain the present invention and are not used to limit the present invention.

Embodiment 1

As shown in Figure 1, in this embodiment, a one-click cutting and propagation method for a distributed hydrological model based on a cloud platform is provided, which realizes the technology of generating an independent and complete hydrological model of any specified area within the simulation range of a distributed water cycle model based on a cloud platform with one click. The new model generated by cutting includes information such as calculation units, model operation data and model parameters, aiming to reduce repetitive work such as data collection, processing and modeling calibration in the construction of hydrological models, greatly improve the efficiency of hydrological model construction, and effectively promote the scientificity and timeliness of work in the fields of water resources management, flood prevention and disaster reduction, and ecological environment protection. The method of the present invention includes the following five parts:

1. Old model confirmation:

Based on the WEP hydrological model, the geospatial data and text data of the study area are collected, the simulated river network is generated, the calculation units are divided, the information of the calculation units is processed, the distributed hydrological model of the study area is established and the parameters are calibrated, and the basic model (i.e. the old model) that needs to be cut is determined.

2. Determine the cutting method:

The user can select the cutting method according to the actual needs of the research area, including cutting method based on area elements and cutting method based on point elements.

3. Determination of cutting range:

3.1. For the cutting method based on surface features, users can specify the watershed boundary, administrative area boundary or custom area polygon range as the cutting range of the new model.

(1) For the model cutting problem of specifying the watershed boundary, the specific implementation process is as follows: first, based on the intersection tool of the cloud version of GIS, the old model calculation unit layer is cut with the specified watershed range to determine the calculation units contained in the specified watershed; then, the patch fusion tool of the cloud GIS is used to remove fragmented units according to the area threshold, and this is used as the cutting range of the new model.

(2) For the model cutting problem of specifying administrative area boundaries or custom area polygon ranges, the specific implementation process is as follows: first, based on the intersection tool of the cloud version of GIS, the old model calculation unit layer is cut with the specified range to determine the calculation units included in the specified range; since the specified range is generally a non-closed watershed, starting from each calculation unit within the specified range, the topological relationship and coding rules between the calculation units in the old model are traced upstream to accurately define the specified range and all the calculation units upstream, and the union of all traced calculation units is taken as the cutting range of the new model.

3.2. For the cutting method based on point elements, users can provide the control nodes of the watershed to be simulated, such as the location of hydrological stations, reservoirs or river section information. The system will analyze the spatial relationship between the control nodes and the calculation units of the old model through spatial analysis methods (such as network analysis, watershed division or proximity search, etc.), and then accurately define all the calculation units above each control node through tracing according to the topological relationship and coding rules between the calculation units of the old model, and use this as the cutting range of the new model.

For the model cutting problem of specified control points, the specific implementation process is: first, through spatial analysis methods (such as network analysis, watershed division or proximity search, etc.), the calculation unit number of each control node in the old model is determined according to the intersection tool of cloud GIS; then, according to the topological relationship and coding rules between the calculation units in the old model, all the calculation units above each control point are traced upstream to accurately define, and the union of all traced calculation units is taken as the simulation range of the new model.

4. Construction of the mapping relationship between the new and old model calculation units:

Construct new codes for all calculation units obtained by cutting the cutting range based on the new model, determine the one-to-one correspondence between the new and old codes of the calculation units, and construct a mapping relationship table between the new and old model calculation units; and configure an attribute table for each calculation unit to record the parameter partition number to which it belongs and all its related attributes.

Specifically: The core content of this section is to establish a one-to-one correspondence between the calculation units of the new and old models. First, all the calculation units obtained by cutting according to the simulation range of the new model are classified and sorted according to the sub-basin and upstream and downstream confluence relationship, and a new code is constructed for each calculation unit to determine the one-to-one correspondence between the new and old codes of the calculation unit, and to construct a mapping relationship table of the calculation units of the new and old models. This table can ensure that the calculation units of the new model can effectively inherit the hydrological process description capabilities of the old model and maintain the continuity and consistency of the calculation results. In addition, an attribute table is configured for the calculation unit. The attribute table of the calculation unit records in detail the parameter partition number and all related attributes to which each calculation unit belongs. This information can accurately migrate and map the parameter partitions and all related attributes of each calculation unit in the old model to the new model when building a new model.

5. Construction of new model database:

Based on the mapping relationship table of calculation units between the new and old models and the attribute table of the calculation units, the geographic spatial data, text data and model parameters of the calculation units obtained from the old model are imported into the construction database of the new model, the operation database of the new model and the parameter database of the new model respectively.

5.1. Spatial data cutting and importing: According to the spatial scope defined by the new model, the intersection tool of Cloud GIS is used to finely cut and extract the geospatial data of the old model (such as DEM, land use map, vegetation distribution map, soil type map, geological structure map, water use distribution data, water conservancy project facility distribution and river section information, etc.). The geospatial data generated by cutting retains all the attribute values of the original data by default. The geospatial data and its attribute values are imported into the construction database of the new model, laying the foundation for subsequent model initialization and model construction.

5.2. Text data extraction and import: Using the established mapping relationship table of calculation units between the old and new models, we screen out relevant text data such as meteorological and hydrological historical observation data, water resource utilization data, water conservancy projects and dispatching strategies, and water conservation projects that are consistent with the scope of the new model from the operation database of the old model. After extracting these data according to the scope of the new model, we import them into the operation database of the new model to provide driving data in real time or historical scenarios for the actual operation of the model.

5.3. Setting and importing new model parameters: According to the parameter partitioning information in the calculation unit mapping table and the calculation unit attribute table of the new and old models, the model parameters of each calculation unit of the new model are extracted from the old model parameter database, including but not limited to aquifer thickness correction coefficient, soil layer thickness, pore impedance correction coefficient, soil saturated hydraulic conductivity correction coefficient, riverbed bottom material hydraulic conductivity correction coefficient, aquifer lateral hydraulic conductivity correction coefficient, depression retention depth, etc., and imported into the parameter database of the new model to ensure the simulation accuracy and credibility of the new model within the localized range.

In this embodiment, during the parameter setting process, it may be necessary to perform parameter correction according to the specific requirements of the new model to ensure that the parameter values can reflect the unique natural and social conditions in the study area.

Embodiment 2

In this embodiment, taking the distributed hydrological model of Poyang Lake Basin in Jiangxi Province as an example, the one-key cutting "breeding" method provided by the present invention is used to form a local area hydrological model. Specifically, the following steps are included:

1. Old model confirmation:

Based on the WEP hydrological model, the geographic spatial data and text data of the Poyang Lake Basin are collected and processed, a simulated river network is generated, the calculation units are divided, the calculation unit information is processed, a distributed hydrological model of the Poyang Lake Basin is established and parameter calibration is performed, and the basic model that needs to be cut is determined.

2. Determine the cutting method:

Depending on the research needs, you can choose to use the area feature or point feature method. If you choose the area cutting method, you are required to select or upload a spatial range such as a water resource area or administrative division; if you choose the point feature method, you are required to select or upload a point file such as a hydrological station or reservoir.

3. Determination of cutting range:

According to the selected cutting method and file, based on spatial analysis methods such as network analysis, watershed division or proximity search, analyze the spatial relationship between the control node and the calculation unit in the old model, and then trace back to accurately define all the calculation units above each control point according to the topological relationship and coding rules between the calculation units in the old model, so as to serve as the cutting range of the new model. The cutting range is shown in Figure 2, where the smaller icon number is the calculation unit number of the old model, and the larger icon number is the calculation unit number of the new model.

4. Construction of the mapping relationship between the new and old model calculation units:

According to the generated cutting range, the old sub-basin numbers to be calculated are extracted, and they are arranged from small to large and coded continuously from 1 to obtain the one-to-one correspondence between the new and old codes of the calculation units, and then the mapping relationship table of the new and old model calculation units is constructed. Each calculation unit is configured with an attribute table, which records the parameter partition number and related attributes to which the calculation unit belongs. The mapping relationship between the new and old model calculation units is shown in Table 1.

Table 1 Mapping relationship between calculation units of the new and old models

5. Construction of new model database:

Based on the constructed mapping relationship table and attribute table, the input data is filtered from the new model input file and database according to the mapping relationship to construct the input file used for the new model simulation, and the input file is organized according to the model file and data structure to generate a new model.

By adopting the above technical solution disclosed in the present invention, the following beneficial effects are obtained:

The present invention provides a one-key cutting and propagation method for distributed hydrological models based on a cloud platform, which solves a large amount of repetitive work such as data collection, processing and modeling calibration in the construction of traditional hydrological models, improves the construction efficiency of hydrological models, and effectively promotes the scientificity and timeliness of work in the fields of water resources management, flood prevention and disaster reduction, and ecological environment protection. It can also provide a new perspective and tool for the research and application of hydrology, which has important academic value and practical significance. In practical applications, through the refined model cutting method of the present invention, it is possible to flexibly choose to authorize the data of a specific small model to a third party for use without involving the data content of other parts of the large model, which not only meets the needs of third parties for specific application scenarios, but also strictly guarantees the security of unauthorized data, avoids the potential risk of leakage of the overall data information of the large model, and realizes the safe and controllable use of data and the maximization of economic benefits.

The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principle of the present invention. These improvements and modifications should also be considered as the scope of protection of the present invention.

Claims (10)

1. A one-key cutting and propagation method of a distributed hydrological model based on a cloud platform, characterized in that it comprises the following steps: S1. Determine the cutting method: The user can choose the cutting method based on area elements or point elements according to the actual needs of the research area; S2. Determine the cutting range: For the cutting method based on surface elements, the user specifies the watershed boundary, administrative area boundary or custom area polygon range as the cutting range of the new model; for the cutting method based on point elements, the user provides the control node of the watershed to be simulated, analyzes the spatial relationship between the control node and the calculation unit of the old model through spatial analysis, and traces back all the calculation units above each control node according to the topological relationship and coding rules between the calculation units of the old model, so as to serve as the cutting range of the new model; S3. Construction of mapping relationship between new and old model calculation units: Construct new codes for all calculation units obtained by cutting the cutting range based on the new model, determine the one-to-one correspondence between the new and old codes of the calculation units, and construct a mapping relationship table of the new and old model calculation units; and configure an attribute table for each calculation unit to record the parameter partition number to which it belongs and all related attributes; S4. Construction of new model database: Based on the mapping relationship table of calculation units between the new and old models and the attribute table of the calculation units, the geographic spatial data, text data and model parameters of the calculation units obtained from the old model are imported into the construction database of the new model, the operation database of the new model and the parameter database of the new model respectively. 2. The one-key cutting and propagation method of distributed hydrological model based on cloud platform according to claim 1 is characterized in that: for the model cutting of the specified watershed, the specific process is as follows: First, based on the intersection tool of cloud GIS, the calculation unit layer of the old model is cut with the specified watershed range to determine the calculation units contained in the specified watershed; then the patch fusion tool of cloud GIS is used to remove fragmented units according to the area threshold, which is used as the cutting range of the new model. 3. The one-key cutting and propagation method of the distributed hydrological model based on the cloud platform according to claim 1 is characterized in that: for the model cutting of the designated administrative area boundary or the custom area polygon range, the specific process is as follows: First, based on the intersection tool of the cloud version of GIS, the calculation unit layer of the old model is cut with the specified range to determine the calculation units included in the specified range; then, starting from each calculation unit in the specified range, trace upstream according to the topological relationship and coding rules between the calculation units in the old model, accurately define the specified range and all the calculation units upstream, and take the union of all traced calculation units as the cutting range of the new model. 4. The one-key cutting and propagation method of the distributed hydrological model based on the cloud platform according to claim 1 is characterized in that: for the model cutting of the designated control node, the specific process is as follows: Through spatial analysis, the calculation unit number of each control node in the old model is determined according to the intersection tool of cloud GIS. Then, according to the topological relationship and coding rules between the calculation units in the old model, the calculation units above each control node are traced upstream to accurately define all the calculation units. The union of all traced calculation units is taken as the cutting range of the new model. 5. According to the one-click cutting and breeding method of the distributed hydrological model based on the cloud platform as described in claim 1, it is characterized in that: step S3 specifically includes: all the calculation units obtained by cutting according to the new model cutting range are classified and sorted according to the sub-basin and upstream and downstream confluence relationship, and a new code is constructed for each calculation unit to determine the one-to-one correspondence between the new and old codes of the calculation unit; and an attribute table is configured for each calculation unit, and the attribute table records the parameter partition number to which the calculation unit belongs and all its related attributes. 6. The one-key cutting and propagation method of a distributed hydrological model based on a cloud platform according to claim 1 is characterized in that: step S4 specifically includes the following contents: S41. Spatial data cutting and importing: Based on the spatial scope defined by the new model, the intersection tool of Cloud GIS is used to finely cut and extract the geospatial data of the old model. The geospatial data generated by cutting retains all the attribute values of the original data by default, and the geospatial data and its attribute values are imported into the construction database of the new model. S42, text data extraction and import: using the constructed mapping relationship table of calculation units of the new and old models, screen out text data that matches the scope of the new model from the running database of the old model, extract the text data according to the scope of the new model, and then import it into the running database of the constructed new model; S43. Setting and importing new model parameters: According to the parameter partition information in the calculation unit mapping table of the new and old models and the calculation unit attribute table, the model parameters of each calculation unit of the new model are extracted from the parameter database of the old model, and the model parameters are imported into the parameter database of the new model. 7. According to the one-click cutting and breeding method of the distributed hydrological model based on the cloud platform of claim 6, it is characterized in that the geographic spatial data includes DEM, land use map, vegetation distribution map, soil type map, geological structure map, water use distribution data, water conservancy project facility distribution, and river section information. 8. According to the one-click cutting and breeding method of the distributed hydrological model based on the cloud platform of claim 6, it is characterized in that the text data includes meteorological and hydrological historical observation data, water resource utilization data, water conservancy projects and scheduling strategies, and water conservation projects. 9. According to the one-click cutting and breeding method of the distributed hydrological model based on the cloud platform as described in claim 6, it is characterized in that: the model parameters include aquifer thickness correction coefficient, soil layer thickness, pore impedance correction coefficient, soil saturated hydraulic conductivity correction coefficient, riverbed bottom material hydraulic conductivity correction coefficient, aquifer lateral hydraulic conductivity correction coefficient, and depression storage depth. 10. The one-click cutting and breeding method of a distributed hydrological model based on a cloud platform according to any one of claims 1 to 9 is characterized in that: before step S1, it also includes, based on the WEP hydrological model, collecting geographic spatial data and text data of the study area, generating a simulated river network, dividing the calculation units, performing information processing on the calculation units, establishing a distributed hydrological model of the study area and calibrating parameters, and determining the basic model that needs to be cut.