scholarly journals Recent Advances in the Analysis of Real-time Water Quality Data Collected in Newfoundland and Labrador

2011 ◽  
Vol 36 (4) ◽  
pp. 349-361
Author(s):  
Richard Harvey ◽  
Leonard Lye ◽  
Ali Khan
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Newfoundland And Labrador ◽  
Quality Data ◽  
Water Quality Data ◽  
Recent Advances

scholarly journals Recent Advances in Information and Communications Technology (ICT) and Sensor Technology for Monitoring Water Quality

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 510 ◽  
Author(s):  
Jungsu Park ◽  
Keug Tae Kim ◽  
Woo Hyoung Lee
Keyword(s):  
Water Quality ◽  
Water Resources ◽  
Real Time ◽  
Information And Communications Technology ◽  
Quality Data ◽  
Sensor Technology ◽  
Communications Technology ◽  
Water Quality Data ◽  
Recent Advances ◽  
Sensor Monitoring

Water quality control and management in water resources are important for providing clean and safe water to the public. Due to their large area, collection, analysis, and management of a large amount of water quality data are essential. Water quality data are collected mainly by manual field sampling, and recently real-time sensor monitoring has been increasingly applied for efficient data collection. However, real-time sensor monitoring still relies on only a few parameters, such as water level, velocity, temperature, conductivity, dissolved oxygen (DO), and pH. Although advanced sensing technologies, such as hyperspectral images (HSI), have been used for the areal monitoring of algal bloom, other water quality sensors for organic compounds, phosphorus (P), and nitrogen (N) still need to be further developed and improved for field applications. The utilization of information and communications technology (ICT) with sensor technology shows great potential for the monitoring, transmission, and management of field water-quality data and thus for developing effective water quality management. This paper presents a review of the recent advances in ICT and field applicable sensor technology for monitoring water quality, mainly focusing on water resources, such as rivers and lakes, and discusses the challenges and future directions.

scholarly journals THE CONTRIBUTION OF GIS TO DISPLAY AND ANALYZE THE WATER QUALITY DATA COLLECTED BY A WIRELESS SENSOR NETWORK: CASE OF BOUREGREG CATCHMENT, MOROCCO

2017 ◽  
Vol IV-4/W4 ◽  
pp. 331-334
Author(s):  
S. Boubakri ◽  
H. Rhinane
Keyword(s):  
Water Quality ◽  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Geographic Information Systems ◽  
Real Time ◽  
Quality Parameters ◽  
Wireless Sensor ◽  
Quality Data ◽  
Catchment Scale ◽  
Water Quality Data

The monitoring of water quality is, in most cases, managed in the laboratory and not on real time bases. Besides this process being lengthy, it doesn’t provide the required specifications to describe the evolution of the quality parameters that are of interest. This study presents the integration of Geographic Information Systems (GIS) with wireless sensor networks (WSN) aiming to create a system able to detect the parameters like temperature, salinity and conductivity in a Moroccan catchment scale and transmit information to the support station. This Information is displayed and evaluated in a GIS using maps and spatial dashboard to monitor the water quality in real time.

A review on arsenic concentrations in Canadian drinking water

2010 ◽  
Vol 18 (NA) ◽  
pp. 291-307 ◽  
Author(s):  
Claire F. McGuigan ◽  
Camille L.A. Hamula ◽  
Sarah Huang ◽  
Stephan Gabos ◽  
X. Chris Le
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Web Sites ◽  
Newfoundland And Labrador ◽  
Public Awareness ◽  
Information Source ◽  
Drinking Water Quality ◽  
Quality Data ◽  
Current Guideline ◽  
Water Quality Data

Recent events have increased public awareness of drinking water quality in Canada. The goal of this review was to examine how much information about arsenic (As) in Canadian drinking water is available. Provincial, territorial, and federal Web sites were searched for information about As in drinking water. Major scientific databases (PubMed, Web of Science) were searched for drinking water As information for all provinces and territories. Resulting information was examined for availability, accessibility, quality, and timeliness. Most provinces provided at least basic fact sheets about As, and several provinces provided comprehensive databases containing actual test results. The vast majority of Canadian municipal drinking water systems with As data show a concentration below 10 μg/L, the current guideline level. Several locations in Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Québec, and Saskatchewan have localized elevations of As (“hotspots”, >10 μg/L As); this information is available at the provincial level, but may not include exact locations nor the degree by which they exceed the current guideline limit of 10 μg/L. For other locations, however, little information is available. The lack of a centralized information source represents a significant obstacle to obtaining drinking water quality data. Although difficult to implement, a centralized and standardized source of national drinking water quality data is urgently needed to determine the effects of As and other contaminants on Canadians.

scholarly journals PENGEMBANGAN SISTEM DATABASE ONLINE MONITORING (OnLimo) KUALITAS AIR

2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Heru Dwi Wahjono
Keyword(s):  
Water Quality ◽  
Real Time ◽  
Online Monitoring ◽  
Water Source ◽  
Underground Water ◽  
Decision Makers ◽  
Quality Data ◽  
Base System ◽  
Water Quality Data ◽  
Processing Water

Recent water quality decrease has caused difficult in finding clean water source for people and their daily life. Monitoring on water quality had been carried out many times, from up stream to down stream. It’s necessary to do Online Monitoring on ground and underground water quality continuously, so that the effect of water quality decrease could be detected earlier and handle directly. The output of water quality data needs to be processed so that the society and the decision makers could see the information publicly. So, we need a design of structured database of online and real-time water quality data processing. Water quality data management using structured data base system could make water source data retracing easier. Katakunci : database struktur, online monitoring, real time monitoring 

scholarly journals Forestry Water Quality Index – A planning tool for the assessment and communication of the impacts of forestry activities on water quality

2007 ◽  
Vol 83 (2) ◽  
pp. 207-214 ◽  
Author(s):  
Annette Tobin ◽  
Amir Ali Khan ◽  
Haseen Khan ◽  
Len Moores ◽  
Jim Taylor
Keyword(s):  
Water Quality ◽  
Water Quality Index ◽  
Newfoundland And Labrador ◽  
Quality Index ◽  
Sustainable Forest Management ◽  
Quality Data ◽  
Water Quality Data ◽  
Forestry Management ◽  
The Impact ◽  
Water Uses

The assessment of the impacts of forestry activities on water quality is a critical component of forestry management and planning, especially when watersheds are being used for different water uses by different stakeholders. Traditional methodologies for assessing these impacts, while accurate, often do not take into account the intended use of water. Water quality data are inherently technical and are not conducive to communication to all stakeholders—especially the public. There is a need for a communications-based assessment tool that assesses the impact of forestry activities on water quality from the perspective of different water uses. This paper describes the development and application of such a tool, the Forestry Water Quality Index (FWQI). The FWQI has been developed specifically to capture, evaluate and communicate the impact of forestry activities on water quality to multiple stakeholders. Initially based on the Canadian Council of Ministers of the Environment's Water Quality Index, the FWQI was specifically adapted for applications in forestry management. Details of this adaptation and its methodology are outlined. Case studies from Newfoundland and Labrador illustrate the use of the FWQI for communication, performance evaluation, and planning and technical data analysis. The FWQI tool has the ability to compare pre- and post-forestry water quality data (communication), determine the effectiveness of best management practices (performance evaluation), predict water quality after forestry activities (planning) and evaluate seasonal variations in water quality (data analysis). These components provide useful information for the evaluation of the effects of forestry activities on water quality and to ensure sustainable forest management. It can be utilized by both forestry and water resources management to ensure sustainable development of the forestry sector. Key words: FWQI, sustainable forest management, water quality, Newfoundland and Labrador

scholarly journals Real-Time Water Quality Monitoring System- Analysis Of Pashan Lake, Maharashtra, India

2019 ◽  
Vol 8 (6) ◽  
pp. 2331-2335 ◽  
Keyword(s):  
Water Quality ◽  
Real Time ◽  
System Analysis ◽  
Water Quality Monitoring ◽  
Remote Access ◽  
Quality Monitoring ◽  
Quality Data ◽  
Water Quality Data ◽  
Notification System ◽  
Quality Status

Pashan Lake in Pune, Maharashtra, India is one of the ancient man-made lakes constructed during British era majorly as a source of water supply for the neighboring colony. Over a while, the lake has switnessed severe degradation of water quality owing to heavy deforestation on neighboring hills, hyacinth formation, industrial effluents, and various anthropogenics activities. A consistent rise in pollution is reported, making the lake water non-potable. Recently, the monitoring and analysis of the lake's water quality status are under consideration to check the suitability of water for drinking. Further, this can aid in planning suitable measures to reduce pollution levels. To address such need of real-time water quality data aforementioned, this paper proposes an online portable water quality monitoring and notification system. An Internet of things(IoT) based platform has been developed with the ability to sense, record, process and wirelessly transmit water quality data. Such platforms enable remote access to data about quality status of any water resource. Further, the developed system has been deployed in Pashan Lake and the results so obtained have been discussed.

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