↓ Skip to main content

Continuous high-frequency monitoring of estuarine water quality as a decision support tool: a Dublin Port case study

Overview of attention for article published in Environmental Monitoring and Assessment, May 2014
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
57 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Continuous high-frequency monitoring of estuarine water quality as a decision support tool: a Dublin Port case study
Published in
Environmental Monitoring and Assessment, May 2014
DOI 10.1007/s10661-014-3803-9
Pubmed ID
Authors

Ciprian Briciu-Burghina, Timothy Sullivan, James Chapman, Fiona Regan

Abstract

High-frequency, continuous monitoring using in situ sensors offers a comprehensive and improved insight into the temporal and spatial variability of any water body. In this paper, we describe a 7-month exploratory monitoring programme in Dublin Port, demonstrating the value of high-frequency data in enhancing knowledge of processes, informing discrete sampling, and ultimately increasing the efficiency of port and environmental management. Kruskal-Wallis and Mann-Whitney tests were used to show that shipping operating in Dublin Port has a small-medium effect on turbidity readings collected by in situ sensors. Turbidity events are largely related to vessel activity in Dublin Port, caused by re-suspension of sediments by vessel propulsion systems. The magnitudes of such events are strongly related to water level and tidal state at vessel arrival times. Crucially, measurements of Escherichia coli and enterococci contamination from discrete samples taken at key periods related to detected turbidity events were up to nine times higher after vessel arrival than prior to disturbance. Daily in situ turbidity patterns revealed time-dependent water quality "hot spots" during a 24-h period. We demonstrate conclusively that if representative environmental assessment of water quality is to be performed at such sites, sampling times, informed by continous monitoring data, should take into account these daily variations. This work outlines the potential of sensor technologies and continuous monitoring, to act as a decision support tool in both environmental and port management.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Brazil 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 30%
Student > Master 10 18%
Student > Ph. D. Student 8 14%
Student > Bachelor 3 5%
Professor 2 4%
Other 8 14%
Unknown 9 16%
Readers by discipline Count As %
Environmental Science 19 33%
Agricultural and Biological Sciences 8 14%
Engineering 4 7%
Medicine and Dentistry 3 5%
Earth and Planetary Sciences 3 5%
Other 6 11%
Unknown 14 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 December 2014.
All research outputs
#14,496,973
of 23,854,458 outputs
Outputs from Environmental Monitoring and Assessment
#1,212
of 2,748 outputs
Outputs of similar age
#118,132
of 230,295 outputs
Outputs of similar age from Environmental Monitoring and Assessment
#12
of 30 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,748 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 54% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 230,295 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.