scholarly journals Optimization of a Semi-Analytical Algorithm for Multi-Temporal Water Quality Monitoring in Inland Waters with Wide Natural Variability

2015 ◽  
Vol 7 (12) ◽  
pp. 16623-16646 ◽  
Author(s):  
James Bramante ◽  
Tsai Sin
Keyword(s):  
Water Quality ◽  
Water Quality Monitoring ◽  
Natural Variability ◽  
Quality Monitoring ◽  
Inland Waters ◽  
Analytical Algorithm ◽  
Multi Temporal

Northern Water Quality Monitoring Workshop Observations, Conclusions, Recommendations

1987 ◽  
Vol 22 (4) ◽  
pp. 629-640 ◽  
Author(s):  
R.E. Kwiatkowski ◽  
B. Olding ◽  
H. Vaughan ◽  
P. Whitfield
Keyword(s):  
Water Quality ◽  
Focal Point ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Harsh Environment ◽  
Inland Waters ◽  
Special Issue ◽  
The North ◽  
Research Journal ◽  
Pollution Research

Abstract Development continues to occur in the North. With development, there is the potential for ecological damage. This is particularly true in the North, with its harsh environment coupled with its fragile ecosystems. One of these systems, the aguatic ecosystem, is the focal point of this special issue of the Water Pollution Research Journal of Canada. The ten preceedinq papers were presented at the Northern Water Quality Monitoring Workshop, held in Yellowknife, May 4-7, 1987. The Workshop was organized into three basic stages. Day 1 was devoted to invited presentations from data users while days 2 to 4 were devoted to scientific presentations on: General Monitoring, Mining and Hydrocarbons. The scientific presentations were followed by Workgroup Sessions and a Plenary session daily. This paper attempts to highlight the various views and opinions, often without creditation, from the verbatim transcripts of the invited presentations (day 1), Workgroup Sessions and Plenary Sessions (days 2-4) found in Inland Waters/Land Directorate, Technical Workshop Series No. 7, Northern Water Quality Monitoring, 1988.

scholarly journals MULTI-TEMPORAL MONITORING OF URBAN RIVER WATER QUALITY USING UAV-BORNE MULTI-SPECTRAL REMOTE SENSING

2020 ◽  
Vol XLIII-B3-2020 ◽  
pp. 1469-1475
Author(s):  
C. Liu ◽  
X. Zhou ◽  
Y. Zhou ◽  
A. Akbar
Keyword(s):  
Remote Sensing ◽  
Water Quality ◽  
Water Environment ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Ecological Environment ◽  
Monitoring Methods ◽  
Large Area ◽  
Monitoring Method ◽  
Multi Temporal

Abstract. Water quality is an important index of the ecological environment, which changes rapidly and needs to be monitored chronically. In urban ecological environment, water quality problem is not only more serious, but also more complex in time and space. Remote sensing water quality monitoring can cover a large area in a short time. Therefore, remote sensing can be adopted to make up for the shortcomings of traditional water quality monitoring methods in space coverage and temporal resolution. In order to monitor the narrow rivers in urban area, low altitude remote sensing is needed. This paper proposes a multi-spectral water quality monitoring method based on UAV platform, which can quickly monitor an entire urban water area and conduct multi-temporal observation for key indices of water quality within one day. It is helpful to find and locate the polluted areas which affect the water environment quickly. Also, it can show the changes of water quality on the time axis. The result can provide a decision-making basis for water environment treatment.

A Bioassay System for Water-Quality Monitoring Using a Small Fish

2013 ◽  
Vol 133 (8) ◽  
pp. 1616-1624
Author(s):  
Zu Soh ◽  
Kentaro Miyamoto ◽  
Akira Hirano ◽  
Toshio Tsuji
Keyword(s):  
Water Quality ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Small Fish ◽  
Bioassay System

DEVELOPMENT OF A MULTIPARAMETRIC QUALITY INDEX FOR WATER QUALITY MONITORING

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