CN118113804B - A one-click cutting and propagation method for distributed hydrological models based on cloud platform - Google Patents
A one-click cutting and propagation method for distributed hydrological models based on cloud platform Download PDFInfo
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Abstract
The invention discloses a cloud platform-based one-key cutting propagation method of a distributed hydrological model, which comprises the following steps of selecting a cutting mode based on surface elements or a cutting mode based on point elements according to the requirements of an actual research area, determining a cutting range according to a determined cutting mode, constructing a mapping relation table of new and old model computing units, configuring attribute tables recording the number of a parameter partition to which each computing unit belongs and all related attributes of each computing unit, and importing related data acquired from an old model database into the new model database based on the mapping relation table of the new and old model computing units and the attribute tables of the computing units. The method has the advantages that a large number of repeated works such as data collection, processing and modeling calibration and the like existing in the traditional hydrological model construction are solved, the construction efficiency of the hydrological model is improved, and scientificity and timeliness of works in the fields such as water resource management, flood control and disaster reduction, ecological environment protection and the like are effectively promoted.
Description
Technical Field
The invention relates to the technical field of hydrologic model construction, in particular to a cloud platform-based one-key cutting propagation method for a distributed hydrologic model.
Background
Traditional hydrologic models are usually built aiming at specific watershed or geographical areas, and the process not only comprises the steps of collecting detailed field observation and historical data in a target area, but also comprises the steps of tedious data preprocessing, such as data cleaning, format conversion, interpolation and correction, and the like, and the parameters of different hydrologic processes are repeatedly iterated, reasonably estimated and calibrated according to the related numbers of measured runoffs, groundwater levels and the like. When building multiple local or sub-watershed hydrologic models within the same large area, these extensive repetitive basic works often result in a significant waste of resources and time. To solve this problem, researchers are eagerly required to develop an innovative technical means capable of effectively utilizing the acquired information and rapidly generating hydrologic models adapted to different subregions.
Disclosure of Invention
The invention aims to provide a cloud platform-based one-key cutting propagation method for a distributed hydrological model, so that the problems in the prior art are solved.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
a cloud platform-based one-key cutting propagation method of a distributed hydrological model comprises the following steps,
S1, determining a cutting mode:
the user selects a cutting mode based on the surface elements or a cutting mode based on the point elements according to the requirements of the actual research area;
S2, determining a cutting range:
for the cutting mode based on the point elements, the user provides a to-be-simulated river basin control node, analyzes the spatial relationship between the control node and the old model calculation units through a spatial analysis means, and trace and define all calculation units above each control node according to the topological relationship and the coding rules among all calculation units of the old model, thereby being used as the cutting range of the new model;
S3, constructing a mapping relation of the new model calculation unit and the old model calculation unit:
constructing new codes for all computing units obtained based on cutting range cutting of a new model, determining a one-to-one correspondence relation between the new codes and the old codes of the computing units, constructing a mapping relation table of the computing units of the new model and the old model, and configuring attribute tables recording the number of the parameter partition to which each computing unit belongs and all related attributes of each computing unit;
S4, constructing a new model database:
Based on the mapping relation table of the new model and the old model and the attribute table of the calculating unit, the geospatial data, the text data and the model parameters of the calculating unit obtained from the old model are respectively and correspondingly imported into a construction database of the new model, an operation database of the new model and a parameter database of the new model.
Preferably, for model cuts of a given basin, the specific procedure is,
Cutting the image layer of the old model calculation unit by using a designated drainage basin range based on an intersecting tool of a cloud GIS, determining calculation units contained in the designated drainage basin, and removing the scattered units by using a plaque fusion tool of the cloud GIS according to an area threshold value to serve as a cutting range of the new model.
Preferably, for model cutting of a specified administrative area boundary or custom area polygon scope, the specific process is,
The method comprises the steps of firstly cutting a graph layer of an old model computing unit by using a designated range based on an intersecting tool of a cloud GIS, determining computing units contained in the designated range, then starting from each computing unit in the designated range, tracing upstream according to the topological relation and coding rules among the computing units in the old model, precisely defining the designated range and all computing units upstream of the designated range, and taking a union set of all traced computing units as a cutting range of a new model.
Preferably, for model cut of a given control node, the specific process is,
Determining the number of the calculation units of each control node in the old model by a space analysis means according to the intersecting tool of the cloud GIS, tracing upstream according to the topological relation and the coding rule among the calculation units in the old model, precisely defining all the calculation units above each control node, and taking a union set of all the traced calculation units as the cutting range of the new model.
Preferably, step S3 is specifically to classify and sort all the computing units obtained by cutting according to the new model cutting range according to the sub-drainage basin and the upstream and downstream confluence relation, construct new codes for each computing unit, determine the one-to-one correspondence of the new codes and the old codes of the computing units, and configure an attribute table for each computing unit, wherein the attribute table records the parameter partition numbers and all the related attributes of the computing units.
Preferably, step S4 specifically includes,
S41, cutting and importing space data, namely carrying out fine cutting and extraction on the geospatial data of the old model by utilizing an intersecting tool of a cloud GIS according to the space range defined by the new model, reserving all attribute values of the original data by default on the geospatial data generated by cutting, and importing the geospatial data and the attribute values thereof into a construction database of the new model;
s42, extracting and importing text data, namely screening out the text data which accords with the range of the new model from an operation database of the old model by utilizing a mapping relation table of a new model calculation unit which is already constructed, extracting the text data according to the range of the new model, and importing the text data into the operation database of the constructed new model;
S43, setting and importing new model parameters, namely extracting model parameters of each calculation unit of the new model from a parameter database of the old model according to the mapping relation table of the calculation units of the new model and the parameter partition information in the attribute table of the calculation units of the old model, and importing the model parameters into the parameter database of the new model.
Preferably, the geospatial data includes DEM, land utilization map, vegetation distribution map, soil type map, geologic structure map, water distribution data, hydraulic engineering facility distribution, and river section information.
Preferably, the text data comprises weather, hydrologic history observation data, water resource utilization data, hydraulic engineering and scheduling strategies and water conservation engineering.
Preferably, the model parameters comprise an aquifer thickness correction coefficient, a soil layer thickness, an air hole impedance correction coefficient, a soil saturation water conductivity correction coefficient, a river bed bottom plate material water conductivity correction coefficient, an aquifer lateral water conductivity correction coefficient and a depression storage depth.
Preferably, step S1 is preceded by collecting geospatial data and text data of the research area based on the WEP hydrological model, generating a simulated river network, dividing the calculation unit, performing information processing on the calculation unit, establishing a distributed hydrological model of the research area, performing parameter calibration, and determining a basic model to be cut.
The method has the beneficial effects that 1, the method solves the problems of a large amount of repeated work such as data collection, processing, modeling calibration and the like in the traditional hydrologic model construction, improves the construction efficiency of the hydrologic model, and effectively promotes the scientificity and timeliness of the work in the fields such as water resource management, flood control, disaster reduction, ecological environment protection and the like. Can also provide a new visual angle and tool for the research and application of hydrology subjects, and has important academic value and practical significance. 2. In practical application, the method for cutting the fine model can flexibly select the data of a certain small model to be authorized for a third party to use without involving the data content of other parts of the large model, thereby not only meeting the requirements of the third party on specific application scenes, but also strictly guaranteeing the security of unauthorized data, avoiding the potential leakage risk of the whole data information of the large model, and realizing the maximization of the safety, the controllability and the economic benefit of the data use.
Drawings
FIG. 1 is a flow chart of a cutting propagation method in an embodiment of the invention;
FIG. 2 is a schematic diagram of a cutting range generated by different cutting modes according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the detailed description is presented by way of example only and is not intended to limit the invention.
Example 1
As shown in fig. 1, in this embodiment, a one-key cutting propagation method for a distributed hydrologic model based on a cloud platform is provided, a technology of generating an independent complete hydrologic model of any designated area by one key in a simulation range of a built distributed hydrologic model based on a cloud platform is implemented, a new model generated by cutting includes information such as a calculation unit, model operation data, model parameters and the like, and aims to reduce repeated work such as data collection, processing, modeling calibration and the like in hydrologic model construction, greatly improve hydrologic model construction efficiency, and effectively promote scientificity and timeliness of work in fields such as water resource management, flood control and disaster reduction, ecological environment protection and the like. The method comprises the following five parts:
1. Old model determination:
Based on the WEP hydrologic model, collecting geospatial data and text data of a research area, generating a simulated river network, dividing a computing unit, performing information processing on the computing unit, establishing a distributed hydrologic model of the research area, performing parameter calibration, and determining a basic model (namely an old model) to be cut.
2. And (3) determining a cutting mode:
the user selects cutting modes according to the requirements of the actual research area, including a cutting mode based on surface elements and a cutting mode based on point elements.
3. Cutting range determination:
3.1, for the face element based cutting mode, the user can use the designated basin boundary, the designated administrative region boundary or the custom region polygon range as the cutting range of the new model.
(1) The model cutting problem of the appointed drainage basin boundary is achieved by firstly cutting the image layer of the old model calculating unit by using an appointed drainage basin range based on an intersecting tool of a cloud GIS, determining calculating units contained in the appointed drainage basin, and removing the scattered units by using a plaque fusion tool of the cloud GIS according to an area threshold value to serve as a cutting range of a new model.
(2) The model cutting method specifically comprises the steps of firstly cutting a graph layer of old model computing units by using a designated range based on an intersecting tool of a cloud GIS, determining computing units contained in the designated range, starting from each computing unit in the designated range because the designated range is generally a non-closed drainage basin, tracing upstream according to a topological relation and coding rules among the computing units in the old model, precisely defining the designated range and all computing units upstream of the designated range, and taking a union set of all traced computing units as a cutting range of a new model.
And 3.2, for the cutting mode based on the point elements, a user can provide a river basin control node to be simulated, such as hydrologic stations, reservoir positions or river section information. The system analyzes the spatial relationship between the control node and the calculation units of the old model by a spatial analysis means (such as network analysis, drainage basin division or proximity search, etc.), and precisely defines all calculation units above each control node by tracing according to the topological relationship and coding rules among the calculation units of the old model, thereby being used as the cutting range of the new model.
The model cutting problem of the designated control points is realized by determining the number of the calculation units of each control node in the old model according to the intersecting tool of the cloud GIS by means of spatial analysis (such as network analysis, drainage basin division or proximity search and the like), tracing back upstream according to the topological relation and the coding rule among the calculation units in the old model, precisely defining all the calculation units above each control point, and taking a union set of all the traced back calculation units as the simulation range of the new model.
4. New and old model calculation unit and (3) constructing a mapping relation:
And configuring attribute tables recording the number of the parameter partition to which each computing unit belongs and all related attributes of the parameter partition for each computing unit.
Specifically, the core content of the part is to establish a one-to-one correspondence of the computing units between the new model and the old model. Firstly, classifying and sequencing all computing units obtained by cutting according to a simulation range of a new model according to a sub-drainage basin and upstream and downstream confluence relation, constructing a new code for each computing unit, determining a one-to-one correspondence relation between the new code and the old code of the computing unit, and constructing a mapping relation table of the computing units of the new model and the old model, wherein the table can ensure that the computing units of the new model can effectively inherit the hydrological process description capability of the old model and keep the continuity consistency of operation results. In addition, an attribute table is configured for the computing units, the attribute table of the computing units thoroughly records the parameter partition numbers and all relevant attributes of the parameter partition numbers to which each computing unit belongs, and the information can accurately migrate and map the parameter partition to which each computing unit belongs and all relevant attributes of the parameter partition in the old model into the new model when the new model is constructed.
5. New model database construction:
Based on the mapping relation table of the new model and the old model and the attribute table of the calculating unit, the geospatial data, the text data and the model parameters of the calculating unit obtained from the old model are respectively and correspondingly imported into a construction database of the new model, an operation database of the new model and a parameter database of the new model.
And 5.1, cutting and importing space data, namely, according to the space range defined by the new model, carrying out fine cutting and extraction on the geospatial data (such as DEM, land utilization map, vegetation distribution map, soil type map, geological structure map, water distribution data, hydraulic engineering facility distribution, river section information and the like) of the old model by utilizing an intersecting tool of a cloud GIS, wherein all attribute values of original data are reserved by default for the geospatial data generated by cutting, and the geospatial data and the attribute values thereof are imported into a construction database of the new model, so that a foundation is laid for subsequent model initialization and model construction.
And 5.2, extracting and importing text data, namely screening out relevant text data such as weather, hydrologic history observation data, water resource utilization data, hydraulic engineering, scheduling strategies, water conservation engineering and the like which are consistent with the range of the new model from an operation database of the old model by utilizing the constructed mapping relation table of the new model and the old model. And after the data are extracted according to the range of the new model, the data are imported into an operation database of the new model, and driving data under real-time or historical situations are provided for the actual operation of the model.
And 5.3, setting and importing new model parameters, namely extracting model parameters of each calculation unit of the new model from an old model parameter database according to parameter partition information in a mapping relation table of the calculation units of the new model and an attribute table of the calculation units of the new model, wherein the model parameters comprise, but are not limited to, a aquifer thickness correction coefficient, a soil layer thickness, an air hole impedance correction coefficient, a soil saturation water conductivity correction coefficient, a river bed bottom plate material water conductivity correction coefficient, an aquifer lateral water conductivity correction coefficient, a depression storage depth and the like, and importing the model parameters into the parameter database of the new model so as to ensure simulation precision and reliability of the new model in a localization range.
In this embodiment, in the parameter setting process, parameter correction may be performed according to the specific requirements of the new model, so as to ensure that the parameter value can reflect the specific natural and social conditions in the research area.
Example two
In this embodiment, taking the distributed hydrological model of the river basin of the Jiangxi province as an example, the one-key cutting propagation method provided by the invention is adopted to form the hydrological model of the local area. The method specifically comprises the following steps:
1. Old model determination:
Based on the WEP hydrologic model, collecting and processing the geospatial number and text data of the Poyang lake basin, generating a simulated river network, dividing a calculation unit, processing information of the calculation unit, establishing a distributed hydrologic model of the Poyang lake basin, performing parameter calibration, and determining a basic model to be cut.
2. And (3) determining a cutting mode:
The manner based on the face element or the point element can be selected according to the research requirement. If the surface cutting mode is selected, the user is required to select or upload a certain space range such as a water resource area or an administrative area, and if the point element mode is selected, the user is required to select or upload a certain hydrologic station or a reservoir point file.
3. Cutting range determination:
According to the selected cutting mode and file, based on spatial analysis means such as network analysis, drainage basin division or proximity search, the spatial relationship between the control node and the calculation units in the old model is analyzed, and then all calculation units above each control point are precisely defined through tracing according to the topological relationship and coding rules among the calculation units in the old model, so that the spatial relationship is used as the cutting range of the new model. The cut range is shown in fig. 2, where the smaller number of the icon is the calculation unit number of the old model and the larger number of the icon is the calculation unit number of the new model.
4. New and old model calculation unit and (3) constructing a mapping relation:
And extracting old sub-stream domain numbers to be calculated according to the generated cutting range, and continuously encoding according to the arrangement from small to large and from 1 to obtain the one-to-one correspondence of the new and old encodings of the calculating unit, so as to construct a mapping relation table of the new and old model calculating unit. Each computing unit is configured with an attribute table, and the attribute table records the parameter partition numbers and related attributes to which the computing units belong. The mapping relation between the new model calculation unit and the old model calculation unit is shown in table 1.
Table 1 mapping relation between new and old model calculation units
5. New model database construction:
based on the constructed mapping relation table and the attribute table, the input data are screened from the new model input file and the database according to the mapping relation, the input file used for simulating the new model is constructed, and the new model is generated by organizing the model file and the data structure.
By adopting the technical scheme disclosed by the invention, the following beneficial effects are obtained:
the invention provides a cloud platform-based one-key cutting propagation method for a distributed hydrological model, which solves the problems of large quantity of repeatability of data collection, processing, modeling calibration and the like in the traditional hydrological model construction, improves the construction efficiency of the hydrological model, and effectively promotes the scientificity and timeliness of the work in the fields of water resource management, flood control, disaster reduction, ecological environment protection and the like. Can also provide a new visual angle and tool for the research and application of hydrology subjects, and has important academic value and practical significance. In practical application, the method for cutting the fine model can flexibly select the data of a certain small model to be authorized for a third party to use without involving the data content of other parts of the large model, thereby not only meeting the requirements of the third party on specific application scenes, but also strictly guaranteeing the security of unauthorized data, avoiding the potential leakage risk of the whole data information of the large model, and realizing the maximization of the safety, the controllability and the economic benefit of the data use.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which is also intended to be covered by the present invention.
Claims (7)
1. A cloud platform-based one-key cutting propagation method for a distributed hydrological model is characterized by comprising the following steps of,
S1, determining a cutting mode:
the user selects a cutting mode based on the surface elements or a cutting mode based on the point elements according to the requirements of the actual research area;
S2, determining a cutting range:
for the cutting mode based on the point elements, the user provides a to-be-simulated river basin control node, analyzes the spatial relationship between the control node and the old model calculation units through a spatial analysis means, and trace and define all calculation units above each control node according to the topological relationship and the coding rules among all calculation units of the old model, thereby being used as the cutting range of the new model;
for model cuts of a given basin, the specific procedure is,
Firstly, cutting an old model calculation unit layer by using a designated drainage basin range based on an intersecting tool of a cloud GIS to determine calculation units contained in the designated drainage basin;
For model cutting of a specified administrative region boundary or a custom region polygon range, the specific process is that,
Firstly, cutting an old model calculation unit layer by using a specified range based on an intersecting tool of a cloud GIS, and determining calculation units contained in the specified range; starting from each calculation unit in the designated range, tracing upstream according to the topological relation and the coding rule among the calculation units in the old model, precisely defining the designated range and all calculation units upstream of the designated range, and taking a union set of all the traced calculation units as a cutting range of the new model;
For model cut of a given control node, the specific process is,
Determining the number of the calculation units of each control node in the old model by a space analysis means according to the intersecting tool of the cloud GIS, tracing back upstream according to the topological relation and the coding rule among the calculation units in the old model, precisely defining all the calculation units above each control node, and taking a union set of all the traced back calculation units as a cutting range of the new model;
S3, constructing a mapping relation of the new model calculation unit and the old model calculation unit:
constructing new codes for all computing units obtained based on cutting range cutting of a new model, determining a one-to-one correspondence relation between the new codes and the old codes of the computing units, constructing a mapping relation table of the computing units of the new model and the old model, and configuring attribute tables recording the number of the parameter partition to which each computing unit belongs and all related attributes of each computing unit;
S4, constructing a new model database:
Based on the mapping relation table of the new model and the old model and the attribute table of the calculating unit, the geospatial data, the text data and the model parameters of the calculating unit obtained from the old model are respectively and correspondingly imported into a construction database of the new model, an operation database of the new model and a parameter database of the new model.
2. The cloud platform-based one-key cutting propagation method of the distributed hydrologic model is characterized in that step S3 is specifically characterized in that all computing units obtained by cutting according to a new model cutting range are classified and ordered according to a sub-basin and upstream-downstream confluence relation, new codes are built for each computing unit, the one-to-one correspondence of the new codes and the old codes of the computing units is determined, an attribute table is configured for each computing unit, and the attribute table is recorded with parameter partition numbers and all relevant attributes of the computing units.
3. The cloud platform-based one-key cutting propagation method of the distributed hydrological model as set forth in claim 1, wherein step S4 comprises the following steps,
S41, cutting and importing space data, namely carrying out fine cutting and extraction on the geospatial data of the old model by utilizing an intersecting tool of a cloud GIS according to the space range defined by the new model, reserving all attribute values of the original data by default on the geospatial data generated by cutting, and importing the geospatial data and the attribute values thereof into a construction database of the new model;
s42, extracting and importing text data, namely screening out the text data which accords with the range of the new model from an operation database of the old model by utilizing a mapping relation table of a new model calculation unit which is already constructed, extracting the text data according to the range of the new model, and importing the text data into the operation database of the constructed new model;
S43, setting and importing new model parameters, namely extracting model parameters of each calculation unit of the new model from a parameter database of the old model according to the mapping relation table of the calculation units of the new model and the parameter partition information in the attribute table of the calculation units of the old model, and importing the model parameters into the parameter database of the new model.
4. The cloud platform-based distributed hydrological model one-key cutting propagation method as claimed in claim 3, wherein the geospatial data comprises DEM, land utilization map, vegetation distribution map, soil type map, geological structure map, water distribution data, hydraulic engineering facility distribution and river section information.
5. The cloud platform-based one-key cutting propagation method of the distributed hydrologic model, according to claim 3, wherein the text data comprise weather, hydrologic history observation data, water resource utilization data, hydraulic engineering and scheduling strategies and water conservation engineering.
6. The cloud platform-based one-key cutting propagation method of the distributed hydrological model, as set forth in claim 3, wherein the model parameters comprise a aquifer thickness correction coefficient, a soil layer thickness, an air hole impedance correction coefficient, a soil saturation water conductivity correction coefficient, a riverbed bottom plate material water conductivity correction coefficient, an aquifer lateral water conductivity correction coefficient and a depression storage depth.
7. The cloud platform-based one-key cutting propagation method of the distributed hydrologic model is characterized in that the step S1 is further characterized by further comprising the steps of collecting geospatial data and text data of a research area based on a WEP hydrologic model, generating a simulated river network, dividing a computing unit, carrying out information processing on the computing unit, establishing the distributed hydrologic model of the research area, carrying out parameter calibration, and determining a basic model to be cut.
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