Development of a Web System for Water Quality Monitoring Information Management

2013 ◽  
Vol 316-317 ◽  
pp. 678-681
Author(s):  
Guan Xiong Wei ◽  
Di Bo Hou ◽  
Ping Jie Huang ◽  
Guang Xin Zhang

Water quality security is the guarantee of social development, the effective management of water quality information is the key to protect the water from pollution. This article focuses on the system architecture design and technology of Web-based water quality monitoring and information management system. Real-time communication between the Flex-written pages and the SQL Server database is achieved through the application of FluorineFx. The system realizes the visualized management of water quality information by visual components such as data table and data curve and so on.

Author(s):  
Ronald Muchini ◽  
Webster Gumindoga ◽  
Sydney Togarepi ◽  
Tarirai Pinias Masarira ◽  
Timothy Dube

Abstract. Zimbabwe's water resources are under pressure from both point and non-point sources of pollution hence the need for regular and synoptic assessment. In-situ and laboratory based methods of water quality monitoring are point based and do not provide a synoptic coverage of the lakes. This paper presents novel methods for retrieving water quality parameters in Chivero and Manyame lakes, Zimbabwe, from remotely sensed imagery. Remotely sensed derived water quality parameters are further validated using in-situ data. It also presents an application for automated retrieval of those parameters developed in VB6, as well as a web portal for disseminating the water quality information to relevant stakeholders. The web portal is developed, using Geoserver, open layers and HTML. Results show the spatial variation of water quality and an automated remote sensing and GIS system with a web front end to disseminate water quality information.


Author(s):  
N. B. Gatdula ◽  
B. J. D. Jiao ◽  
J. A. Laurente ◽  
A. C. Blanco ◽  
J. M. Medina ◽  
...  

Abstract. Products and outputs for water quality monitoring are made available in the IM4ManilaBay MapABLE Web Portal, a web-based GIS platform that serves as a repository of processed maps for Manila Bay and linked systems. The Portal is also linked with the MASDAN mobile application that has been developed to allow the public to report different environmental issues. The web development involved the utilization of geospatial content management system, spatial database system, operating systems, programming, and style language. Services included frontend and backend development. The Web Portal serves as a repository for all outputs derived for water quality monitoring. It contains processed results, technical overview on the developed models and tools, historical data viewing and use of basic geoprocessing tools, and viewing of reported incidents from the MASDAN app. It is expected that the Web Portal will contribute significantly in the efforts of communities and environmental agencies to implement policies for sustainable development and management of Manila Bay and its watershed.


2021 ◽  
Vol 5 (1) ◽  
pp. 65-74
Author(s):  
Hendra Jatnika ◽  
Yudhi S. Purwanto ◽  
Moch. Farid Rifai ◽  
Rian Hasiando Silaen

Clean water is a basic human need that is used for daily activities. However, as the population increases, the need for water also increases. One method of conserving water resources is Rainwater Storage. Conventional rainwater storage cannot be appropriately monitored, maintain water quality, and only works like a container, which, if left to continue, can result in the collected rainwater becoming a source of disease and dangerous for users. This research aims to create an automatic rainwater collection system and water quality monitoring that can control the flow of water that will enter the reservoir to keep the water entering the reservoir of good quality. In the manufacture of this system, three sensors are used, including a pH sensor, a water turbidity sensor, and a TDS (Total Dissolved Solids) sensor. In determining water quality, the k-Nearest Neighbor (k-NN) method is used to classify whether the water is feasible, less feasible, or not suitable for consumption. Data transmission uses the ESP8266 WiFi module, and monitoring data can be viewed on the website. Testing the system using an experimental method, and in testing, it is found that this system can classify water quality with an accuracy rate of 70%.


2013 ◽  
Vol 133 (8) ◽  
pp. 1616-1624
Author(s):  
Zu Soh ◽  
Kentaro Miyamoto ◽  
Akira Hirano ◽  
Toshio Tsuji

2016 ◽  
Vol 15 (5) ◽  
pp. 1069-1074 ◽  
Author(s):  
Violeta-Monica Radu ◽  
Alexandru Anton Ivanov ◽  
Petra Ionescu ◽  
Gyorgy Deak ◽  
Marian Tudor

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