| With the rapid ecomomic development,water pollution problem in the Tai lake which has a tremendous impact on people’s daily life has become increasingly serious.Complex sources of pollution and poor water quality of tributaries directly affect the water quality of the rivers flowing into Tai lake,and ultimately affect the water quality of Tai lake.Even though many researchers explored the pollution status in Tai lake,the construction of the Tai lake water environment monitoring and early warning system is still in the exploratory stage.Therefore,the top priority currently is how to use the advanced information management and internet technology to build the Tai lake pollution information management system to grasp dynamic changes of associated attributes such as types of pollutants,their concertrations and river water quality etc.Pollution cloud management system of main rivers flowing into Tai lake was designed and developed by using cloud computing,Javascript and the Python computer programming language.The main research content of the current study included data collection and processing,system requirements analysis,database construction and system design,and application.The basic database contains rivers,monitoring stations,sources of pollution,drainage outlets,water conservancy stations,sewage treatment facilities,administrative divisions and the scope of Tai lake 1st and 2nd protection areas.Collecting and integrating data with geographical coordinates or sequences as a unique identifier of specific unit data,and obtaining 343 data about rivers,1472 about water quality monitoring,610 about sources of pollution,1983 about outlets,43 about water conservancy stations,385 about sewage treatment facilities,76 administrative division and 9 data about Taihu protected areas through site investigation,GIS vectorization and coordinate transformation processing.The analysis of system requirements was carried out based on daily and long-term management,emergency warning,supervision and law enforcement.The system can manage data through layering and partitioning,and counting the specific categories and quantities of different data such as sources of pollution within the relevant protected areas and administrative divisions.Through the practices mentioned above,users can browse visual data and information.The system can update spatial information and attribute information of the relevant basic data by real time monitoring.It can be enriched,expanded and improved with the changes in information management conditions.This system is capable of displaying specific rivers with their water quality stations.For example,dark and light blue color respectively reflect main rivers and their tributaries.Purple color reveals that river quality is bad and falling uder the class Ⅳ and Ⅴ water quality standards of China.Whereas,red color reveals that water quality is severly contanminated and is higher than the class Ⅴ water quality standards of China.Users can find out the specific causes of water pollution problem by water quality analysis and early warning module in visualized interface.Through the system’s positioning function,relevant authorities can quickly reach to the river supervision sites,ensure the accuracy of the system information,and take proper measures to prevent illegal activities that cause water pollution.The overall architecture,database and functional modules of the cloud management system were designed in detail.Cloud computing technology was utilized to deploy two cloud servers and configure the cloud database of the RDS PostgreSQL version.The frontend and background platform uses React framework and Django framework respectively,and access ArcSDE space engine of GIS technology and online map service provided by Amap JS.At the final stage,pollution information cloud management system was developed based on the B/S architecture.Two versions including Web and APP were developed to meet the requirements of different users.The system of the Web version enable administrative users to browse and manage all types of basic data on data-visualized interface and discover the problems existing in the current water environment through data analysis and water quality warning function.The system of the APP version enables the data collection users to collect and upload the latest survey information in real time through the realtime-positioning function and data-input function.The system provides a visualized platform for the comprehensive management of water environment in Tai lake.Through this system,authorities can get the technical support and proper information on water quality and different sources of pollution.It could be highly beneficial for pollution mitigation at specific sites in main rivers and tributaries flowing into Tai lake. |
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