As one of the five largest freshwater lakes in China, Chaohu Lake has a well-developed water system and convenient transportation. It has played a very important role in regulating and storing floods in the basin, ensuring urban water use, developing agricultural irrigation, promoting inner lake water transportation, maintaining ecological balance and promoting regional development.
The “Digital Chaohu” platform is built on the basis of SuperMap GIS, using multi-disciplinary technologies such as 2D-3D integrated GIS, spatio-temporal big data, remote sensing image analysis, and UAV aerial photography. The platform takes geographic national conditions data as the base, various layers of data as the foundation, and departmental data sharing as the core. The platform has developed a multi-purpose numerical model, developed a multi-functional application system, and preliminarily achieved the acquisition of the current status of water security and water environment, trend research and judgment, and forecast and early warning. The platform provides support for flood control and drought relief, environmental protection, ecological restoration, comprehensive dispatch, cyanobacteria control, daily supervision, etc.
The platform is built according to the method of “one network, one map, one center, three systems and N applications”:
"One network" refers to the establishment of an integrated air-space-ground monitoring network in the Chaohu Lake Basin.
"One map" refers to the use of geographic information system technology as the basic framework to integrate data from multiple departments such as river basin geography and national conditions, meteorology and hydrology, water conservancy engineering, environmental ecology, etc., to manage lakes with maps, and realize comprehensive management of river basins with one map.
"One center" refers to the construction of a cloud data center, including computing, storage, network and other hardware resources and system software resources.
"Three systems" refer to the standard system, the operation and maintenance system, and the security system.
“N application” refers to the design and development of several application modules based on one map: including water quality, water quantity, total pollutants, cyanobacteria bloom monitoring, early warning and forecast, first-level protected area management, etc.
The platform integrates the 2D and 3D data of the Chaohu Lake Basin and the monitoring data of various departments. The new 2D and 3D data, such as basin topography, oblique photography of the first-level protected area, 3D model of the seven gates and one station, and 3D lake basin, total about 1.8TB. The platform supports the data sharing of meteorology and hydrology, ecological environment, urban and rural construction, geography and national conditions, population economy, and water conservancy projects, and collects and sorts out historical and dynamic monitoring data such as hydrology, water quality, and meteorology. As of August 24, 2022, 255 million pieces of data have been accessed.
1. Consolidate the technical base to ensure data security
Data standardization
Through the compatibility of SuperMap GIS platform data format, the project integrates Chaohu Lake Basin vector, image, terrain, 3D (oblique photography, artificial precision model, lake basin 3D) and other 2D and 3D data, and optimizes them into a standard spatial 3D data format builds a three-dimensional digital twin base for the Chaohu Lake Basin to support the visualization and fine-grained management of the watershed.
Chaohu lock real scene 3D
Build an efficient and stable space-time database
The project organically combines cross-platform GIS technology and micro-service GIS technology, which greatly improves the application performance of spatial geographic information results, reduces the difficulty and cost of system maintenance, and consolidates the technical foundation of the “spatial-temporal big database”.
One Map of "Digital Chaohu"
2. Innovate applications to create a "beautiful Chaohu Lake"
Watershed spatio-temporal big data management
The project realizes the integrated management of meteorological and hydrological, ecological environment, geographical conditions, hydraulic engineering and other spatial data, attribute information, relationship and metadata, unifies object coding and data dictionary, and finds out and establishes the "data family background" of Chaohu Lake Basin. On this basis, a practical numerical prediction model has been developed, including a water quality and water quantity coupling model, cyanobacteria bloom monitoring and early warning model, and an auxiliary support system for river basin flood control, which have played a supporting role in flood control and drought relief, environmental protection, ecological restoration, and comprehensive dispatch.
"Digital Chaohu" Information Resource Center
Preliminary construction of digital twin watershed
The project fully integrates the data of various departments such as meteorology and hydrology in the basin, and achieves realistic simulation, efficient visualization and three-dimensional space analysis of the geographic elements of the basin. It establishes an integrated monitoring system for the water environment of the watershed, which can intelligently diagnose and automatically alarm the abnormal information of the water environment in the watershed, build a spatio-temporal data model and intelligent analysis algorithm for the multi-source water environment monitoring data in the watershed, and quickly perceive the current distribution, change trend and status of the water environment, limits exceeding alarm information, realizes the refined management of the watershed in the "real scene 3D" environment; it integrates a complete set of mechanism models for the precise reduction of pollutants in the watershed, and proposes an optimized emission reduction plan for the watershed pollutants under the constraints of the water quality goals of the watershed.
One Map of the Control Plan
Strong Support for the Prevention and Control of Cyanobacteria Blooms
The project uses satellite remote sensing, unmanned aerial vehicles, video surveillance, meteorological monitoring, hydrological monitoring, water quality monitoring and other means to build a "air-space-ground" three-dimensional monitoring network, and develop numerical simulation and empirical simulation applications, which enables people to learn the situation of cyanobacteria blooms at three levels of “the entire lake area - key areas - key locations”. With the forecasts of short-term (the next two days, hourly) and long-term (the next week, day-by-day), this project provides support for the scientific prevention and control of cyanobacteria.
