CN111259093B - EFDC water quality model calculation result visualization method and system - Google Patents
EFDC water quality model calculation result visualization method and system Download PDFInfo
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Abstract
The invention provides an EFDC water quality model calculation result visualization method and system. The method comprises the following steps: converting the EFDC model calculation grid into GIS data; issuing the EFDC model calculation grid and the background geographic data into map service through a GIS server; converting the calculation result into a format of 'time sequence-analog value' for storage; storing the analog values of all grids at a certain time in a database; inquiring an EFDC calculation result, and transmitting the calculation result in a two-dimensional data form; background geographic data are loaded from a GIS server side and rendered to the bottom layer of a map window, a corresponding relation between a water quality simulation value and the color of the calculation grid is established, the depth of the color of the calculation grid expresses the concentration of a water quality factor, and a water quality simulation result is dynamically rendered by using WebGL. By the method, efficient storage, query and transmission of EFDC calculation results and visual display based on WebGIS are realized.
Description
Technical Field
The disclosure relates to the field of information visualization, and provides an EFDC water quality model calculation result visualization method and system.
Background
The EFDC (the Environmental Fluid Dynamics code) model is a model which is sponsored by the United states Environmental protection agency, developed by Hamrick of the national institute of oceanographic research, and integrates a water power module, a sediment module, a pollutant migration module and a water quality module into a whole, and can be used for one-dimensional, two-dimensional and three-dimensional numerical simulation of lakes, reservoirs, gulfs, wetland estuaries and offshore areas. Through development and improvement for nearly 20 years, the model is widely used in organizations such as universities, government offices, environment consulting companies and the like, is successfully used for researching more than 100 water body areas in the United states and other countries in Europe, and is applied to water quality simulation, confluent water power simulation, reservoir nutrient simulation and the like, water body eutrophication simulation and the like in China.
The Geographic Information System (GIS) is a technical System for collecting, storing, managing, operating, analyzing, displaying and describing relevant Geographic distribution data in the whole or part of the space of the earth surface (including the atmosphere) under the support of a computer hardware and software System. WebGIS is extension and development of a traditional GIS on a network, and publishes and applies geospatial data through the Internet to realize sharing and interoperation of the geospatial data.
The EFDC model has advantages in water quality numerical simulation and calculation, but is currently limited in data management and maintenance, simulation result expression, and spatial analysis capabilities. The EFDC model is used for displaying a water quality simulation calculation result on a traditional two-dimensional grid interface, cannot realize the overlapping display of the calculation result and a background geographic environment, and has a great improvement space on the visualization effect. The integration of the EFDC model and the WebGIS is researched, so that the application efficiency and the visual display effect of the water quality model can be improved, and the function of GIS space analysis can be fully exerted. The GIS and the water quality model are integrated in the cases of water quality safety assessment and early warning, sea water quality management, river water quality simulation, water environment capacity management and the like.
Generally, the calculation result output by the EFDC model is a text file, and from the viewpoint of software development, the text file is adopted for query and display, so that the efficiency is low, and the data security is poor; from the software integration perspective, the EFDC model data structure is different from the GIS system, and the EFDC model data structure and the GIS system are difficult to organically fuse.
Disclosure of Invention
In order to solve the problems, the invention provides an EFDC water quality model calculation result visualization method and system.
The method and the device have the advantages that a complete solution is provided, and the method and the device comprise EFDC model grid GIS visualization, analysis and storage design of EFDC model calculation results, background query interface design and EFDC model calculation result front-end GIS visualization.
According to a first object of the present invention, an EFDC water quality model calculation result visualization method is provided, which includes:
converting the EFDC model calculation grid into GIS data;
issuing the EFDC model calculation grid and the background geographic data into map service through a GIS server;
analyzing the EFDC calculation result, and converting the calculation result into a format of a time sequence-analog value;
storing the EFDC calculation result, and storing the EFDC calculation result through a storage format of 'time sequence-analog value';
inquiring an EFDC calculation result, and transmitting the calculation result in a two-dimensional data form;
background geographic data are loaded from a GIS server side and rendered to the bottom layer of a map window, a corresponding relation between a water quality simulation value and the color of the calculation grid is established, the depth of the color of the calculation grid expresses the concentration of a water quality factor, and a water quality simulation result is dynamically rendered by using WebGL.
Optionally, the storing the EFDC calculation result is performed by a storage format of "time sequence-analog value", and includes: and storing the simulation values of all grids at a certain time in a database in a text mode, wherein the calculation result values of each grid are separated by commas.
Optionally, the EFDC calculation result is queried, and the calculation result is transmitted in a form of two-dimensional data, specifically, the outer array includes n sub-arrays, where n is the number of grids of the calculation model, each sub-array includes two fields, a first field represents a grid number, a second field represents a simulation result value, and the calculation result finally returned includes the extreme value of the water quality factor of the time series and the simulation value.
Optionally, the loading of the background geographic data from the GIS server, rendering to the bottom layer of the map window, establishing a correspondence between the water quality simulation value and the grid color, expressing the water quality factor concentration by calculating the shade of the grid color, and dynamically rendering the water quality simulation result by using WebGL includes: the method comprises the steps of combining a JavaScript language at a browser end with an OpenGL ES standard at a desktop end, adding a JavaScript binding of the OpenGL ES, enabling WebGL to provide hardware 3D acceleration for graphic rendering by means of a system GPU, finally rendering a gradually changed grid layer according to the contrast relation between each grid value and a color gradient after EFDC analyzes data, and overlapping the grid layer on a base map service.
According to a second object of the present invention, there is provided an EFDC water quality model calculation result visualization system including:
the conversion unit is used for converting the EFDC model calculation grid into GIS data;
the publishing unit is used for publishing the EFDC model calculation grid and the background geographic data into map service through a GIS server;
the analysis unit is used for analyzing the EFDC calculation result and converting the calculation result into a format of a time sequence-analog value;
the storage unit is used for storing an EFDC calculation result and storing the EFDC calculation result through a storage grid of a time sequence-analog value;
the query unit is used for querying an EFDC calculation result, and the calculation result is transmitted in a two-dimensional data form;
and the visualization unit is used for loading background geographic data from the GIS server, rendering the background geographic data to the bottom layer of a map window, establishing a corresponding relation between the water quality simulation value and the color of the calculation grid, expressing the concentration of the water quality factor by calculating the depth of the grid color, and dynamically rendering the water quality simulation result by using WebGL.
Optionally, the storage unit includes: and storing the simulation values of all grids at a certain time in a database in a text mode, wherein the calculation result values of each grid are separated by commas.
Optionally, the query unit includes: the outer-layer array comprises n sub-arrays, n is the grid number of the calculation model, each sub-array comprises two fields, the first field represents the grid number, the second field represents the simulation result value, and the finally returned calculation result comprises the water quality factor extreme value and the simulation value of the time sequence.
Optionally, the visualization unit comprises: the method comprises the steps of combining a JavaScript language at a browser end with an OpenGL ES standard at a desktop end, adding a JavaScript binding of the OpenGL ES, enabling WebGL to provide hardware 3D acceleration for graphic rendering by means of a system GPU, finally rendering a gradually changed grid layer according to the contrast relation between each grid value and a color gradient after EFDC analyzes data, and overlapping the grid layer on a base map service.
The technical scheme provided by the invention can have the following beneficial effects:
according to the method, the large-quantity (more than 5 thousand grids) second-level dynamic rendering of the water quality simulation result is realized through the storage design of the EFDC water quality model calculation result, the data structure optimization design of the query interface return value, the front-end rendering optimization design based on the WebGIS and the like.
The method and the system provided by the disclosure realize the GIS of the water quality simulation result, and can visually display and output the distribution change condition of the water quality factors in space and time by means of the space visualization function of the GIS.
The GIS has strong space analysis function, and can provide convenient and efficient technical support for monitoring and management work of a water environment management department.
Drawings
FIG. 1 is a flow diagram illustrating a method for visualizing results of EFDC model computations in accordance with an exemplary embodiment;
fig. 2 illustrates an lxly. inp file structure, according to an example embodiment;
fig. 3 illustrates a dxdy. inp file structure in accordance with an exemplary embodiment;
FIG. 4 illustrates a computational grid center point, a computational grid cross sectional line, and a model computational grid according to one exemplary embodiment.
Fig. 5 is a GIS overlay display of model computing grid and channel terrain data, shown in accordance with an exemplary embodiment.
FIG. 6 illustrates mesh information in the results of an EFDC model calculation, according to an exemplary embodiment.
FIG. 7 is a simulated value in the results of an EFDC model calculation shown in accordance with an exemplary embodiment.
FIG. 8 is a flow diagram illustrating an EFDC computation result parsing in accordance with an exemplary embodiment.
Fig. 9 shows a conventional data transmission format.
Fig. 10 is an illustration of an improved data transmission format, in accordance with an example embodiment.
Fig. 11 illustrates a data transmission format with extreme and analog value information, according to an example embodiment.
FIG. 12 is a GIS visualization display of a calculation of total phosphorus content of surface water at a time, according to an exemplary embodiment.
Fig. 13 is a GIS visualization display of a calculation result of total nitrogen content of surface water quality at a time shown according to an exemplary embodiment.
FIG. 14 is an EFDC model calculation visualization system shown in accordance with an exemplary embodiment.
Detailed Description
The technical solutions in the embodiments of the present invention are clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present invention without making any creative effort, shall fall within the protection scope of the present invention.
In describing the present invention, it is to be understood that the terms are to be interpreted broadly unless otherwise specifically defined or limited. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art. Furthermore, the terms "first," "second," "S1," "S2," and the like are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or quantity or location.
Embodiments of the present invention will be described in further detail below with reference to the accompanying drawings.
The present embodiment provides a method for visualizing EFDC water quality model calculation results, as shown in fig. 1, the core idea of the present disclosure services an EFDC model calculation grid by a GIS means, analyzes and stores the EFDC calculation results in a database, and colors the EFDC calculation results for the calculation grid by a WebGL technology at a Web browser end, and the specific implementation steps include:
firstly, converting an EFDC model calculation grid into GIS data;
storing the EFDC model calculation grid information in lxly.inp and dxdy.inp files, extracting calculation grid geographic space information from the files, converting the calculation grid geographic space information into data in a GIS format, and using the data as a space basis for GIS visual display of a model calculation result. The specific implementation steps are as follows:
s1, according to the lxly. inp file, as shown in fig. 2, generating a shape format of a model center scatter diagram according to the recorded center coordinates, and recording row and column numbers of a scatter representing a grid, corresponding to I, J columns in fig. 2, and grid sequence number information in an attribute information table;
s2, according to the row and column number information of the mesh in the dxdy.inp file, corresponding to the I, J column in fig. 3, recording the length and width information of the mesh in the attribute information table in the scatter diagram shape file generated in S1, corresponding to the DX and DY column information in fig. 3;
s3, generating a grid cross section scatter diagram according to the grid central point coordinates and the grid width;
s4, generating a grid longitudinal section scatter diagram according to the cross section scatter diagram and the grid length;
s5, generating horizontal and vertical section lines of the grid according to the vertical section scatter diagram of the grid;
s6, generating a model surface according to the horizontal and vertical section lines of the model grid, establishing the association between the model grid surface and the central point through spatial association (SpatialJoin), and assigning the attribute information of the central point to the model surface;
the coordinates of the center point of the generated computational grid, the horizontal and vertical section lines of the grid, and the model computational grid are respectively shown in fig. 4 (a), (b), and (c).
Secondly, issuing the EFDC model computational grid and the background geographic data into map service through a GIS server;
the specific implementation steps are as follows:
s1, collecting background geographic data (water system, terrain and the like) in the EFDC model calculation grid space range, and making map documents in mxd format by utilizing GIS data processing software (ArcMap);
s2, performing projection definition and conversion on EFDC model calculation grid data by using ArcMap to enable the EFDC model calculation grid data and related background geographic data to have the same geographic projection coordinate information, and then overlaying the EFDC model calculation grid and the related background geographic data to manufacture a map document in a mxd format for service release;
and S3, distributing the prepared map document into a map service through a GIS Server by utilizing GIS service distribution software (ArcGIS Server). In order to optimize the front-end browsing efficiency, selecting a background map document in the step (i) and publishing the service in a slicing cache (WMTS service) mode; and the EFDC model calculation grid in the second step is released into a map service in a WFS form and is used by a Web rendering engine MapTallks in a GeoJSON form.
The display effect of the published map service in the Web browser is shown in fig. 5.
Thirdly, analyzing the EFDC calculation result, and converting the calculation result into a format of a time sequence-analog value;
the EFDC calculation result is an automatic dat format file, and the calculation result file comprises two aspects of information: the first half is the computational mesh information of the EFDC model (as shown in FIG. 6), where I, J represent the rows and columns, respectively, in which the mesh is located; the second half is the simulation calculation results of the EFDC model (as shown in fig. 7), where the 1 st column represents the time series in the calculation period, and the 2 nd to nth columns represent the simulation values corresponding to each grid.
The efficiency of directly utilizing the file to perform simulation result display is low, the result needs to be analyzed, and the calculation result is converted into a form of a time sequence-analog value, as shown in fig. 8, the specific implementation flow of the EFDC result analysis is as follows:
s1, reading each line of record of the simulation result file from top to bottom in sequence;
s2, judging the initial character of the line record, and reading the next line record if the initial character is "+";
s3, replacing the hollow grid character in the current time sequence simulation result with a comma character;
s4, taking comma as separator, extracting the first value of the simulation result as time sequence value, and the rest as simulation result value;
s5, storing the time sequence information and the processed simulation result value into an analysis result set;
and S6, repeating the steps until the reading of the EFDC result file is finished.
Fourthly, storing the EFDC calculation result and storing the EFDC calculation result through a storage format of 'time sequence-analog value';
preferably, the method adopts a storage mode of 'time sequence-analog value', the analog values of all grids at a certain time are stored in a database in a text mode, and the calculation result values of each grid are separated by commas, so that the number of records is effectively reduced, and the query efficiency is ensured.
The analysis of the water quality calculation result comprises two parts: time sequence extreme value and time sequence water quality analog value. The analyzed simulation result is stored in a database according to a time sequence-simulation value form; and storing the time sequence extreme value obtained after calculation into a database according to a time sequence-extreme value mode.
The EFDC calculation result storage implementation steps are as follows:
s1, determining the planned water quality category of the simulation area, acquiring the standard value of the current water quality simulation factor according to the national surface water environment quality standard GB3838-2002, and taking the standard value as the standard for judging whether the water quality factor exceeds the standard or not;
s2, acquiring a simulation result of a specified time sequence from the EFDC analysis result set generated in the step three, and storing the simulation result of the time sequence in a database;
s3, dividing the water quality simulation factor standard value into two types of standard exceeding and standard not exceeding;
s4, respectively calculating the maximum value and the minimum value of the simulation result in the two categories of 'exceeding standard' and 'not exceeding standard';
and S5, storing the calculated 'exceeding' extreme value and 'not exceeding' extreme value into a database.
Fifthly, inquiring an EFDC calculation result, wherein the calculation result is transmitted in a two-dimensional data form;
the water quality inquiry parameters comprise an example number, a time sequence and water quality simulation factors (total phosphorus, total nitrogen and chemical oxygen demand). The returned calculation result comprises the extreme value (maximum and minimum value) of the water quality factor of the time sequence and the water quality factor simulation value.
In the conventional design of the return value structure, data transmission is performed in a key value pair manner, as shown in fig. 9, that is, each return result includes two parts of information, namely, an attribute name and an attribute value, and this data transmission structure has a problem of a large amount of redundancy of the attribute names, that is, each return unit includes repeated information, such as a "time sequence", a "grid sequence number", and an "analog value", which causes waste of network resources and affects data transmission efficiency.
Preferably, in the two-dimensional array of calculation results according to an embodiment of the present disclosure, as shown in fig. 10, the outer array includes n sub-arrays, where n is the number of grids of the calculation model, each sub-array includes two fields, a first field represents a grid number, a second field represents a simulation result value, and the finally returned calculation result includes the extreme value of the water quality factor and the simulation value of the time series;
the Web browser acquires EFDC calculation result data from the server through an Http request, and the specific implementation flow is as follows:
s1, the Web browser sends a request with time sequence, water quality simulation factor and calculation scheme ID information to the server;
s2, the server inquires corresponding EFDC calculation results and extreme value information from the database according to the request parameters of the browser;
s3, the server organizes the data in the format shown in fig. 11 and returns the data to the Web browser in JSON format.
Sixthly, loading background geographic data from the GIS server, rendering to the bottom layer of a map window, establishing a corresponding relation between a water quality simulation value and the color of the calculation grid, expressing the concentration of the water quality factor by calculating the depth of the grid color, and dynamically rendering a water quality simulation result by using WebGL;
preferably, a browser-side JavaScript scripting language and a desktop-side OpenGL ES standard are combined together, by adding one JavaScript binding of OpenGL ES, WebGL can provide hardware 3D acceleration for graphic rendering by means of a system GPU, finally, a gradually changing grid layer is rendered according to the contrast relation between each grid value and a color gradient after EFDC analyzes data, and the grid layer is superposed on a base map service;
one specific implementation flow is as follows:
s1, loading base map service data;
preferably, background geographic data (WMTS slice cache data) is loaded from a GIS server side by using a map slice service loading function of MapTallks and is rendered to the bottom layer of a map window;
s2, setting a legend;
establishing a corresponding relation between the water quality simulation value and the color of the calculation grid, and expressing the concentration of the water quality factor by calculating the depth of the color of the grid;
preferably, the extreme value of total phosphorus in water quality in a simulation area at a certain moment is assumed to be 0.02-0.049970, and the color grading number is 6:
determining a numerical range of the water quality analog value according to the extreme value and the classification number, wherein the numerical range is six ranges of 0.02-0.024995, 0.024995-0.029990, 0.029990-0.034985, 0.034985-0.039980, 0.039980-0.044975 and 0.044975-0.049970.
② color selection, 6 colors which change gradually are selected, and are '#30C3FD', '25E 9A6', 'FED 400', 'FCA 424', and 'FD 7089'
And thirdly, establishing a corresponding relation between the color and the numerical value interval.
S3, client rendering of the simulation result;
the implementation flow of EFDC simulation result rendering is as follows:
firstly, acquiring GeoJSON format data of an EFDC computational grid through WFS map service;
sequentially acquiring each grid in the WFS map service, and acquiring a simulation value of the corresponding grid from EFDC analysis data according to the grid serial number of the calculation grid;
and thirdly, calculating a numerical value interval where the grid value is located by utilizing a dichotomy, then determining a color code corresponding to each grid according to the corresponding relation between the numerical value interval and the color gradient, rendering gradually-changed grid layers in sequence, and overlapping the grid layers on the base map service. The GIS visualization display of the calculation result of the total phosphorus content of the surface water quality at a certain moment is shown in figure 12, and the GIS visualization display of the calculation result of the total nitrogen content of the surface water quality at a certain moment is shown in figure 13.
According to the EFDC model calculation result visualization method, efficient storage, query and transmission of EFDC calculation results and WebGIS-based visualization display are achieved through EFDC model calculation grid GIS, EFDC model calculation result storage optimization design, query interface return value data structure optimization design, web front-end rendering optimization design and the like.
The embodiment further provides a system for visualizing the calculation result of the EFDC water quality model, as shown in fig. 14, the system includes:
the conversion unit is used for converting the EFDC model calculation grid into GIS data;
the publishing unit is used for publishing the EFDC model calculation grid and the background geographic data into map service through a GIS server;
the analysis unit is used for analyzing the EFDC calculation result and converting the calculation result into a format of a time sequence-analog value;
the storage unit is used for storing an EFDC calculation result and storing the EFDC calculation result through a storage grid of a time sequence-analog value;
preferably, the storage unit includes: storing the analog values of all grids in a database in a text mode at a certain time, and separating the calculation result values of each grid by commas;
the query unit is used for querying an EFDC calculation result, and the calculation result is transmitted in a two-dimensional data form;
preferably, the query unit includes: the outer array comprises n sub-arrays, wherein n is the grid number of the calculation model, each sub-array comprises two fields, the first field represents the grid number, the second field represents the simulation result value, and the finally returned calculation result comprises the water quality factor extreme value and the simulation value of the time sequence;
the visualization unit is used for loading background geographic data from the GIS server, rendering the background geographic data to the bottom layer of a map window, establishing a corresponding relation between a water quality simulation value and the color of the calculation grid, expressing the concentration of a water quality factor by calculating the depth of the grid color, and dynamically rendering a water quality simulation result by using WebGL;
preferably, the query unit includes: the outer-layer array comprises n sub-arrays, n is the grid number of the calculation model, each sub-array comprises two fields, the first field represents the grid number, the second field represents the simulation result value, and the finally returned calculation result comprises the water quality factor extreme value and the simulation value of the time sequence.
According to the method, the large-quantity (more than 5 thousand grids) second-level dynamic rendering of the water quality simulation result is realized through the storage design of the EFDC water quality model calculation result, the data structure optimization design of the query interface return value, the front-end rendering optimization design based on the WebGIS and the like. The method and the system provided by the disclosure realize the GIS of the water quality simulation result, and can visually display and output the distribution change condition of the water quality factors in space and time by means of the space visualization function of the GIS. The GIS has strong space analysis function, and can provide convenient and efficient technical support for monitoring and management work of a water environment management department.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (2)
1. An EFDC water quality model calculation result visualization method is characterized by comprising the following steps:
firstly, converting an EFDC model calculation grid into GIS data;
secondly, issuing the EFDC model computational grid and the background geographic data into map service through a GIS server;
thirdly, analyzing the EFDC calculation result, and converting the calculation result into a format of a time sequence-analog value;
the analysis of the water quality calculation result comprises two parts: a time sequence extreme value and a time sequence water quality analog value; the analyzed simulation result is stored in a database according to a time sequence-simulation value form; the time sequence extreme value obtained after calculation is stored in a database according to a time sequence-extreme value mode;
fourthly, storing the EFDC calculation result and storing the EFDC calculation result through a storage format of 'time sequence-analog value';
the method comprises the following steps: storing the analog values of all grids in a database in a text mode at a certain time, and separating the calculation result values of each grid by commas;
the EFDC calculation result storage implementation steps are as follows:
s1, determining the planned water quality category of the simulation area, acquiring the standard value of the current water quality simulation factor according to the national surface water environment quality standard GB3838-2002, and taking the standard value as the standard for judging whether the water quality factor exceeds the standard or not;
s2, acquiring a simulation result of a specified time sequence from the EFDC analysis result set generated in the third step, and storing the simulation result of the time sequence in a database;
s3, dividing the water quality simulation factor standard value into two types of standard exceeding and standard not exceeding;
s4, respectively calculating the maximum value and the minimum value of the simulation result in the two categories of 'exceeding standard' and 'not exceeding standard';
s5, storing the calculated overproof extreme value and the calculated overproof extreme value into a database;
fifthly, inquiring an EFDC calculation result, wherein the calculation result is transmitted in a two-dimensional data form; the outer-layer array comprises n sub-arrays, n is the grid number of the calculation model, each sub-array comprises two fields, the first field represents the grid number, the second field represents the simulation result value, and the finally returned calculation result comprises the water quality factor extreme value and the simulation value of the time sequence;
the Web browser acquires EFDC calculation result data from the server through an Http request, and the specific implementation flow is as follows:
s1, the Web browser sends a request with time sequence, water quality simulation factor and calculation scheme ID information to the server;
s2, the server inquires corresponding EFDC calculation results and extreme value information from the database according to the request parameters of the browser;
s3, the server organizes the data according to the formats of 'minimum value not exceeding standard, maximum value not exceeding standard, minimum value exceeding standard, maximum value exceeding standard and analog value' and returns the data to the Web browser in the form of JSON;
sixthly, loading background geographic data from the GIS server, rendering to the bottom layer of a map window, establishing a corresponding relation between a water quality simulation value and the color of the calculation grid, expressing the concentration of the water quality factor by calculating the depth of the grid color, and dynamically rendering a water quality simulation result by using WebGL; the method comprises the following steps: the method comprises the steps of combining a JavaScript language at a browser end with an OpenGL ES standard at a desktop end, adding a JavaScript binding of the OpenGL ES, enabling WebGL to provide hardware 3D acceleration for graphic rendering by means of a system GPU, rendering a gradually changed grid layer according to the contrast relation between each grid value and a color gradient after EFDC analyzes data, and overlapping the grid layer on a base map service.
2. An EFDC water quality model calculation result visualization system is characterized by comprising:
the conversion unit is used for converting the EFDC model calculation grid into GIS data;
the publishing unit is used for publishing the EFDC model calculation grid and the background geographic data into map service through a GIS server;
the analysis unit is used for analyzing the EFDC calculation result and converting the calculation result into a format of a time sequence-analog value;
the analysis of the water quality calculation result comprises two parts: a time sequence extreme value and a time sequence water quality analog value; the analyzed simulation result is stored in a database according to a time sequence-simulation value form; the time sequence extreme value obtained after calculation is stored in a database according to a time sequence-extreme value mode;
the storage unit is used for storing an EFDC calculation result and storing the EFDC calculation result through a storage format of a time sequence-analog value;
the method comprises the following steps: storing the analog values of all grids in a database in a text mode at a certain time, and separating the calculation result values of each grid by commas;
the EFDC calculation result storage implementation steps are as follows:
s1, determining the planned water quality category of the simulation area, acquiring the standard value of the current water quality simulation factor according to the national surface water environment quality standard GB3838-2002, and taking the standard value as the standard for judging whether the water quality factor exceeds the standard or not;
s2, acquiring a simulation result of a specified time sequence from the EFDC analysis result set generated in the third step, and storing the simulation result of the time sequence in a database;
s3, dividing the water quality simulation factor standard value into two types of standard exceeding and standard not exceeding;
s4, respectively calculating the maximum value and the minimum value of the simulation result in the two categories of 'exceeding standard' and 'not exceeding standard';
s5, storing the calculated overproof extreme value and the calculated overproof extreme value into a database;
the query unit is used for querying an EFDC calculation result, and the calculation result is transmitted in a two-dimensional data form;
the outer-layer array comprises n sub-arrays, n is the grid number of the calculation model, each sub-array comprises two fields, the first field represents the grid number, the second field represents the simulation result value, and the finally returned calculation result comprises the water quality factor extreme value and the simulation value of the time sequence;
the Web browser acquires EFDC calculation result data from the server through an Http request, and the specific implementation flow is as follows:
s1, the Web browser sends a request with time sequence, water quality simulation factor and calculation scheme ID information to the server;
s2, the server inquires corresponding EFDC calculation results and extreme value information from the database according to the request parameters of the browser;
s3, the server organizes the data according to the formats of 'minimum value not exceeding standard, maximum value not exceeding standard, minimum value exceeding standard, maximum value exceeding standard and analog value' and returns the data to the Web browser in the form of JSON;
the visualization unit is used for loading background geographic data from the GIS server, rendering the background geographic data to the bottom layer of a map window, establishing a corresponding relation between a water quality simulation value and the color of the calculation grid, expressing the concentration of a water quality factor by calculating the depth of the grid color, and dynamically rendering a water quality simulation result by using WebGL; the method comprises the following steps: the method comprises the steps of combining a JavaScript language at a browser end with an OpenGL ES standard at a desktop end, adding a JavaScript binding of the OpenGL ES, enabling WebGL to provide hardware 3D acceleration for graphic rendering by means of a system GPU, rendering a gradually changed grid layer according to the contrast relation between each grid value and a color gradient after EFDC analyzes data, and overlapping the grid layer on a base map service.
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