DEVELOPMENT OF THE IM4MANILABAY MAPABLE WEB PORTAL

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.

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Web based water quality monitoring with sensor network: Employing ZigBee and WiMax technologies

8th International Conference on High-capacity Optical Networks and Emerging Technologies ◽

10.1109/honet.2011.6149804 ◽

2011 ◽

Cited By ~ 17

Author(s):

Steven Silva ◽

Hoang Nghia Nguyen ◽

Valentina Tiporlini ◽

Kamal Alameh

Keyword(s):

Water Quality ◽

Sensor Network ◽

Water Quality Monitoring ◽

Quality Monitoring ◽

Web Based

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Near real time water quality monitoring of Chivero and Manyame lakes of Zimbabwe

Proceedings of the International Association of Hydrological Sciences ◽

10.5194/piahs-378-85-2018 ◽

2018 ◽

Vol 378 ◽

pp. 85-92 ◽

Cited By ~ 1

Author(s):

Ronald Muchini ◽

Webster Gumindoga ◽

Sydney Togarepi ◽

Tarirai Pinias Masarira ◽

Timothy Dube

Keyword(s):

Water Quality ◽

Water Quality Monitoring ◽

Remotely Sensed ◽

Quality Parameters ◽

Point Sources ◽

Water Quality Parameters ◽

Quality Monitoring ◽

Quality Information ◽

Web Portal

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.

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An Integrated Web Portal for Water Quality Monitoring through Wireless Sensor Networks

International Journal of Web Portals ◽

10.4018/ijwp.2015010102 ◽

2015 ◽

Vol 7 (1) ◽

pp. 28-46 ◽

Cited By ~ 6

Author(s):

Lule Ahmedi ◽

Besmir Sejdiu ◽

Eliot Bytyçi ◽

Figene Ahmedi

Keyword(s):

Water Quality ◽

Wireless Sensor Networks ◽

Sensor Networks ◽

Data Access ◽

Water Quality Monitoring ◽

Quality Monitoring ◽

Wireless Sensor ◽

Stream Data ◽

Web Portal ◽

Wide Range

Wireless sensor networks (WSNs) are aiding water quality monitoring with support for real-time and remote quality measurements in terrain. Environmental monitoring portals receiving data from sensors have been a practice since a while among researchers. However, the Web portal introduced here is essentially an integrated portal since it supports modeling and management of both, the observational stream data on water quality coming from wireless sensors – dynamic data, as well as of the data describing the WSN itself, its devices and the corresponding site allocation data – static data. Access is given to a wide range of individuals, from water experts to WSN engineers, to general public. Experts' module infers statistics about water parameters given the experts' data and rules. The portal is further distinguished for its level of scalability: it allows adding with ease new components, like add certain new regulatory documents for water quality, and directly compare data measured by sensors with corresponding quality standards. The aim is to enrich the portal with semantics in future.

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Development of a Web System for Water Quality Monitoring Information Management

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.316-317.678 ◽

2013 ◽

Vol 316-317 ◽

pp. 678-681

Author(s):

Guan Xiong Wei ◽

Di Bo Hou ◽

Ping Jie Huang ◽

Guang Xin Zhang

Keyword(s):

Water Quality ◽

Information Management ◽

Water Quality Monitoring ◽

Information Management System ◽

Sql Server ◽

Quality Monitoring ◽

Design And Technology ◽

Quality Information ◽

Web Based ◽

Sql Server Database

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.

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Web-Based Automated Rainwater Storage and Water Quality Monitoring Design Using K-Nearest Neighbor Method

Jurnal E-Komtek (Elektro-Komputer-Teknik) ◽

10.37339/e-komtek.v5i1.551 ◽

2021 ◽

Vol 5 (1) ◽

pp. 65-74

Author(s):

Hendra Jatnika ◽

Yudhi S. Purwanto ◽

Moch. Farid Rifai ◽

Rian Hasiando Silaen

Keyword(s):

Water Quality ◽

Nearest Neighbor ◽

Ph Sensor ◽

Water Quality Monitoring ◽

Quality Monitoring ◽

K Nearest Neighbor ◽

Web Based ◽

Monitoring Design ◽

Consumption Data ◽

Human Need

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%.

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