EFDC (environmental fluid dynamics code) model integration method for the Three Gorges reservoir area

Abstract

The invention relates to an EFDC (environmental fluid dynamics code) model integration method for the Three Gorges reservoir area and belongs to the field of informationization. The method comprises the steps of: packaging a model module based on the EFDC so that a model file is controllable, wherein the model module includes an EFDC input file, an output file and a master control file; providinginterface services for corresponding model calling functions; for meeting the need for the use of an actual model of a water quality safety evaluation and warning system of the Three Gorges reservoirarea, performing integrating to achieve preprocessing and postprocessing of model data in an information system, calling model interface services to transmit input parameters to the model, activatingcomputing, extracting computing results, and storing the results in a model database; after integrating, allowing the model database to become a core database of the information system and to be integrated to basic space data, special-purpose space data and special-purpose data, so that GIS-based (geographic information system-based) visual expression of model examples is achieved.

Description

technical field [0001] The invention belongs to the field of informatization, and relates to a method for integrating EFDC models in the Three Gorges reservoir area. Background technique [0002] Since Streeter and Phelps proposed the BOD-DO water quality model in 1925, both basic and applied research on water quality mathematical models have made great progress. Especially since the 1970s, the water quality control equations established through mathematical models can be more Detailed description of the transport and transformation of pollutants in water bodies, such as the popular WASP model, QUAL model, QUASAR model, MIKE model and EFDC model. [0003] Among them, the EFDC model is funded by the U.S. Environmental Protection Agency and developed by Hamrick of the Virginia Institute of Oceanography. It integrates the hydrodynamic module, the sediment module, the pollutant transport module and the water quality module. , 1D, 2D and 3D numerical simulation of bays, wetland ...

AI Technical Summary

Problems solved by technology

[0005] However, although the integration of water quality models and information systems represented by EFDC has been extensively explored at home and abroad, there are still many bottlenecks: ① From the perspective of model field application, the local domestication of the model is complex;

Different rivers have their own river grids and boundary conditions. The diffusion model of river pollution requires targeted customization, research and development, calibration, debugging and domestication to meet the simulation requirements of specific rivers. ② In terms of promotion and application, the threshold for using the model is high

The model involves a wide range of data, and the data cannot be collected in a short period of time. Moreover, the model has many parameters and complex settings. The workload of model testing and parameter sensitivity analysis is heavy.

③ From the perspective of software integration, the coupling between the system and the model is low

The data structure of the system and the model is different, the synchronization efficiency of heterogeneous data is not high, and data exchange is difficult; the interface of the model is not unified, and the communication and integration between the system and the model, and between the model and the model are difficult; the organic combination of the system and the model requires professional software developers and models Experts work closely together to learn from each other and clarify the data structure of the platform system, the interactive format and calling method of model parameters, and the difficulty of mastering and re-editing the source code, etc.

④ In terms of decision-making timeliness, model calculation takes a long time

With the improvement of the refinement of simulation objects, the conversion and change of long-term and short-term forecasting requirements, and the expansion of computing space-time scales, the requirements for computing resources are getting higher and higher, and general management organizations cannot bear the purchase and maintenance costs of software and hardware.

In addition, with the improvement of management decision-making requirements for real-time and multi-scheme scenario analysis, traditional computing models are difficult to adapt to multi-user simultaneous online and multi-scheme simultaneous fast simulation and comparative analysis

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