scholarly journals Review of “Comparison of high frequency, in-situ water quality analysers and sensors with conventional water sample collection and laboratory analyses: phosphorus and nitrogen species”

2018 ◽  
Author(s):  
Anonymous
2018 ◽  
Author(s):  
Steven J. Granger ◽  
Juan A. Qunicke ◽  
Paul Harris ◽  
Adrian L. Collins ◽  
Martin S. Blackwell

Abstract. The long-term collection of water samples for water quality analysis with high precision laboratory instrumentation is routine in monitoring programmes however, such sampling is labour intensive, expensive, and therefore undertaken at a low temporal frequency. Advances in environmental monitoring technology however, mean that it is now possible to collect high temporal frequency measurements for a wide range of water quality parameters without the need for the physical collection of a sample. The downside to this approach is that the data can be subject to more noise, due to environmental and instrument variables. This raises the question of whether high frequency, lower precision data are better than low frequency, higher precision data. This study reports the findings of an investigation of agricultural land drainage comparing measurements of total phosphorus (TP), total reactive phosphorus (TRP), ammonium (NH4-N) and total oxidised inorganic nitrogen (NOx-N) collected using both equipment in situ and concurrent water samples analysed in the laboratory. Results show that both in situ PHOSPHAX TP and NITRATAX NOx-N instruments can provide comparable data to that measured using samples analysed in the laboratory; however, at high discharge and low NOx-N concentrations, the NITRATAX can under report the concentration. In contrast, PHOSPHAX TRP and YSI sonde NH4-N data were both found to be incomparable to the laboratory data. This was because concentrations of both parameters were well below the instruments accurately determinable level, and because the laboratory data at low concentrations were noisy.


2007 ◽  
Vol 73 (23) ◽  
pp. 7548-7551 ◽  
Author(s):  
Laura Y. Sifuentes ◽  
George D. Di Giovanni

ABSTRACT Cell culture assays in various formats have been used to study the infectivity of Cryptosporidium spp. as well as to determine the infectivity of naturally occurring oocysts in water. Currently, cell culture assays for infectious Cryptosporidium spp. in water have largely been limited to practice in research laboratories. One obstacle to the routine use of Cryptosporidium cell culture assays for the analysis of water samples is the coordination of water sample collection and processing with readiness of cell culture monolayers. For most Cryptosporidium cell culture assays, monolayers are allowed to develop for 24 to 48 h to reach 80 to 100% confluence prior to inoculation. In this study, we used immunofluorescent assay microscopy to evaluate freshly confluent (2-day-old) and aged (8- to 67-day-old) HCT-8 cell monolayers for their ability to support Cryptosporidium parvum infection. HCT-8 monolayers as old as 67 days were clearly shown to support infection. In two of three experiments, aged monolayers (8- to 11-day-old and 11- to 22-day-old, respectively) developed the same number of C. parvum clusters of infection as freshly confluent monolayers. Results suggest that it may be possible to use cell monolayers from freshly confluent to 3 weeks old on hand for infectivity assays without having to schedule sample processing to coincide with development of freshly confluent monolayers. This would make Cryptosporidium cell culture assays much more feasible for water quality and utility laboratories.


2019 ◽  
Author(s):  
Catherine Leigh ◽  
Sevvandi Kandanaarachchi ◽  
James M. McGree ◽  
Rob J. Hyndman ◽  
Omar Alsibai ◽  
...  

AbstractWater-quality monitoring in rivers often focuses on the concentrations of sediments and nutrients, constituents that can smother biota and cause eutrophication. However, the physical and economic constraints of manual sampling prohibit data collection at the frequency required to adequately capture the variation in concentrations through time. Here, we developed models to predict total suspended solids (TSS) and oxidized nitrogen (NOx) concentrations based on high-frequency time series of turbidity, conductivity and river level data from in situ sensors in rivers flowing into the Great Barrier Reef lagoon. We fit generalized-linear mixed-effects models with continuous first-order autoregressive correlation structures to water-quality data collected by manual sampling at two freshwater sites and one estuarine site and used the fitted models to predict TSS and NOx from the in situ sensor data. These models described the temporal autocorrelation in the data and handled observations collected at irregular frequencies, characteristics typical of water-quality monitoring data. Turbidity proved a useful and generalizable surrogate of TSS, with high predictive ability in the estuarine and fresh water sites. Turbidity, conductivity and river level served as combined surrogates of NOx. However, the relationship between NOx and the covariates was more complex than that between TSS and turbidity, and consequently the ability to predict NOx was lower and less generalizable across sites than for TSS. Furthermore, prediction intervals tended to increase during events, for both TSS and NOx models, highlighting the need to include measures of uncertainty routinely in water-quality reporting. Our study also highlights that surrogate-based models used to predict sediments and nutrients need to better incorporate temporal components if variance estimates are to be unbiased and model inference meaningful. The transferability of models across sites, and potentially regions, will become increasingly important as organizations move to automated sensing for water-quality monitoring throughout catchments.


2019 ◽  
Vol 664 ◽  
pp. 885-898 ◽  
Author(s):  
Catherine Leigh ◽  
Omar Alsibai ◽  
Rob J. Hyndman ◽  
Sevvandi Kandanaarachchi ◽  
Olivia C. King ◽  
...  

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 604 ◽  
Author(s):  
Cengiz Koparan ◽  
Ali Koc ◽  
Charles Privette ◽  
Calvin Sawyer

The objective of this research was to conduct in situ measurements of electrical conductivity (EC), pH, dissolved oxygen (DO), and temperature, and collect water samples simultaneously at different depths using an unmanned aerial vehicle (UAV). The UAV system consists of a hexacopter, water sampling cartridges (WSC), and a sensor node. Payload capacity and endurance of the UAV were determined using an indoor test station. The UAV was able to produce 106 N of thrust for 10 min with 6.3 kg of total takeoff weight. The thrust-to-weight ratio of the UAV was 2.5 at 50% throttle. The decision for activating the water sampling cartridges and sensor node was made autonomously from an onboard microcontroller. System functions were verified at 0.5 m and 3.0 m depths in 6 locations over a 1.1 ha agricultural pond. Average measurements of EC, pH, DO, and temperature at 0.5 m depth were 42 µS/cm, 5.6, 8.2 mg/L, and 31 °C, while the measurements at 3 m depth were 80 µS/cm, 5.3, 5.34 mg/L, and 24 °C, respectively. The UAV-assisted autonomous water sampling system (UASS) successfully activated the WSC at each sampling location. The UASS would reduce the duration of water quality assessment and help practitioners and researchers to conduct observations with lower operational costs. The developed system would be useful for sampling and monitoring of water reservoirs, lakes, rivers, and ponds periodically or after natural disasters.


2012 ◽  
Vol 16 (11) ◽  
pp. 4323-4342 ◽  
Author(s):  
A. J. Wade ◽  
E. J. Palmer-Felgate ◽  
S. J. Halliday ◽  
R. A. Skeffington ◽  
M. Loewenthal ◽  
...  

Abstract. This paper introduces new insights into the hydrochemical functioning of lowland river systems using field-based spectrophotometric and electrode technologies. The streamwater concentrations of nitrogen species and phosphorus fractions were measured at hourly intervals on a continuous basis at two contrasting sites on tributaries of the River Thames – one draining a rural catchment, the River Enborne, and one draining a more urban system, The Cut. The measurements complement those from an existing network of multi-parameter water quality sondes maintained across the Thames catchment and weekly monitoring based on grab samples. The results of the sub-daily monitoring show that streamwater phosphorus concentrations display highly complex dynamics under storm conditions dependent on the antecedent catchment wetness, and that diurnal phosphorus and nitrogen cycles occur under low flow conditions. The diurnal patterns highlight the dominance of sewage inputs in controlling the streamwater phosphorus and nitrogen concentrations at low flows, even at a distance of 7 km from the nearest sewage treatment works in the rural River Enborne. The time of sample collection is important when judging water quality against ecological thresholds or standards. An exhaustion of the supply of phosphorus from diffuse and multiple septic tank sources during storm events was evident and load estimation was not improved by sub-daily monitoring beyond that achieved by daily sampling because of the eventual reduction in the phosphorus mass entering the stream during events. The results highlight the utility of sub-daily water quality measurements and the discussion considers the practicalities and challenges of in situ, sub-daily monitoring.


Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 512 ◽  
Author(s):  
Ivan A. Vargas-Lopez ◽  
Victor H. Rivera-Monroy ◽  
John W. Day ◽  
Julie Whitbeck ◽  
Kanchan Maiti ◽  
...  

The acquisition of reliable and accurate data to assess environmental changes over large spatial scales is one of the main limitations to determine the impact of eutrophication, and the effectiveness of management strategies in coastal systems. Here, we used a continuous in situ Chl-a fluorometry sensor and L8/OLI satellite data to develop an algorithm and map Chl-a spatial distribution to assess the impact of freshwater diversions and associated high nutrient loading rates in the Barataria Basin (BB) complex, a coastal system in the northern Gulf of Mexico. We collected water quality samples at 24 sampling stations and high-frequency continuous fluorometry in situ [Chl-a] data along a ~87 km transect from 2019–2020. Field [Chl-a] values were highly correlated (r = 0.86; p < 0.0001) with continuous in situ [Chl-a] fluorometry values. These continuous in situ [Chl-a] values were significantly related to a surface reflectance ratio ([B1 + B4]/B3) estimated using L8/OLI data (exponential model; R2 = 0.46; RMSE = 4.8, p < 0.0001). The statistical model replicated [Chl-a] spatial patterns across the BB complex. This work shows the utility of high-frequency continuous Chl-a fluorometry sampling coupled with L8/OLI image analysis to increase the frequency and number of field data sets to assess water quality conditions at large spatial scales in highly dynamic deltaic regions.


2018 ◽  
Vol 60 (7-8) ◽  
pp. 727-732
Author(s):  
Uğur Çavdar ◽  
İ. Murat Kusoglu ◽  
Ayberk Altintas

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