Relevant bibliographies by topics / Water column data analysis

Academic literature on the topic 'Water column data analysis'

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Published: 25 May 2024

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Journal articles on the topic "Water column data analysis"

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Takahashi, Hisayuki, and Masayasu Tanaka. "Statistical Analysis for Comparison of the Results Obtained by Capillary Columns and Packed Columns in the Determination of Water Yield in Smoke Condensates Analyzed in Cigarettes for the 24th Asia Collaborative Study." Beiträge zur Tabakforschung International/Contributions to Tobacco Research 29, no. 2 (September 25, 2020): 97–118. http://dx.doi.org/10.2478/cttr-2020-0010.

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SummaryRecently, capillary columns have been widely used in the methodology for the determination of water yields in smoke condensate, even though ISO 10362-1:1999, “Cigarettes - Determination of water in smoke condensates – Part 1: Gas chromatographic method” specifies a packed gas chromatographic column. As a result of a systematic review in 2015, ISO/TC126 decided to revise the standard to include the use of capillary columns.The goal of this study was to confirm the comparability of water yields obtained from capillary column methodology to those yields from packed columns by the statistical analysis of yield data from the 24th Asia Collaborative Study which included 86 datasets submitted by 64 laboratories. After the exclusion of outliers by Cochran’s and Grubbs’ tests, the datasets were classified by GC column type and then mean water yields, and their repeatability and reproducibility were calculated for each type of column. No significant differences were observed in water yields between capillary and packed columns. Repeatability and reproducibility of water yields using capillary column were comparable to those using packed columns as described in ISO 10362-1:1999. From these results, it was confirmed that the capillary columns are an appropriate alternative to packed columns for the gas chromatographic procedure described in ISO 10362-1:1999.
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Jasron, Jahirwan Ut, Sudjito Soeparmani, Lilis Yuliati, and Djarot B. Darmadi. "Comparison of the performance of oscillating water column devices based on arrangements of water columns." Journal of Mechanical Engineering and Sciences 14, no. 3 (September 28, 2020): 7082–93. http://dx.doi.org/10.15282/jmes.14.3.2020.10.0555.

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The hydrodynamic performance of oscillating water column (OWC) depends on the depth of the water, the size of the water column and its arrangement, which affects the oscillation of the water surface in the column. An experimental method was conducted by testing 4 water depths with wave periods of 1-3 s. All data recorded by the sensor is then processed and presented in graphical form. The research focused on analyzing the difference in wave power absorption capabilities of the three geometric types of OWC based on arrangements of water columns. The OWC devices designed as single water column, the double water column in a series arrangement which was perpendicular to the direction of wave propagation, and double water column in which the arrangement of columns was parallel to the direction of wave propagation. This paper discussed several factors affecting the amount of power absorbed by the device. The factors are the ratio of water depth in its relation to wavelength (kh) and the inlet openings ratio (c/h) of the devices. The test results show that if the water depth increases in the range of kh 0.7 to 0.9, then the performance of the double chamber oscillating water column (DCOWC) device is better than the single chamber oscillating water column (SCOWC) device with maximum efficiency for the parallel arrangement 22,4%, series arrangement 20.8% and single column 20.7%. However, when referring to c/h, the maximum energy absorption efficiency for a single column is 27.7%, double column series arrangement is 23.2%, and double column parallel arrangement is 29.5%. Based on the results of the analysis, DCOWC devices in parallel arrangement showed the ability to absorb better wave power in a broader range of wave frequencies. The best wave of power absorption in the three testing models occurred in the wave period T = 1.3 seconds.
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To, N. M., H. M. Brown, and R. H. Goodman. "DATA ANALYSIS AND MODELING OF DISPERSANT EFFECTIVENESS IN COLD WATER." International Oil Spill Conference Proceedings 1987, no. 1 (April 1, 1987): 303–6. http://dx.doi.org/10.7901/2169-3358-1987-1-303.

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ABSTRACT Tests on dispersant effectiveness in cold water have been performed, for a number of years, using nonbreaking, regular waves in the Esso wave basin. Oil concentration measurements in the water column have been used to study the kinematics of oil dispersion under regular waves. Data analysis procedures are designed to determine, based on the concentration measurements, the rate of oil dispersion in both horizontal and vertical directions into the water column. Oil dispersion rates are used in a two-dimensional, kinematic, finite difference model to simulate the diffusion and advection of oil in water. The model predicts the amount of oil that dispersed and later resurfaced from the measured concentration history. Based on the model results, a material balance of the oil is obtained. Effectiveness of the dispersant is assessed by the amount of oil remaining after each test. Results of the data analysis provide an insight into the oil dispersion mechanism and a method of improving the accuracy of the numerical model. Effectiveness of different dispersants and different application methods may be compared using this methodology.
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Landrø, M. "Attenuation of seismic water-column noise, tested on seismic data from the Grane field." GEOPHYSICS 72, no. 4 (July 2007): V87—V95. http://dx.doi.org/10.1190/1.2740020.

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Seismic analysis of long-offset data is gaining increased attention for several purposes: constraining three-parameter amplitude variation with offset (AVO) methods, 4D analysis, and imaging below salt and basalt. A major challenge for exploiting long-offset seismic data is that the water-column noise mixes with and distorts the reflected seismic signal from interfaces at the target level. Traditional processing methods such as [Formula: see text] filtering often reduce this distortion problem. This article offers an alternative to conventional processing methods. The alternative exploits the difference in water depth and reservoir depth to subtract water-column noise. The proposed subtraction method works well where water depth is constant. The method was tested on a multicomponent seismic data set from the Grane field (North Sea). In this location, the water depth is fairly constant over the field. The fieldwise similarity level of water-column noise is high. A comparison of the water-column noise from various locations shows that the similarity is 10%, measured in normalized root mean squared error. The fact that the water-column noise is highly repeatable is a strong indication that the major part of it is harmonic waves that propagate in the water layer.
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Jandera, Pavel, and Tomáš Hájek. "A New Definition of the Stationary Phase Volume in Mixed-Mode Chromatographic Columns in Hydrophilic Liquid Chromatography." Molecules 26, no. 16 (August 9, 2021): 4819. http://dx.doi.org/10.3390/molecules26164819.

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Polar columns used in the HILIC (Hydrophilic Interaction Liquid Chromatography) systems take up water from the mixed aqueous–organic mobile phases in excess of the water concentration in the bulk mobile phase. The adsorbed water forms a diffuse layer, which becomes a part of the HILIC stationary phase and plays dominant role in the retention of polar compounds. It is difficult to fix the exact boundary between the diffuse stationary and the bulk mobile phase, hence determining the column hold-up volume is subject to errors. Adopting a convention that presumes that the volume of the adsorbed water can be understood as the column stationary phase volume enables unambiguous determination of the volumes of the stationary and of the mobile phases in the column, which is necessary for obtaining thermodynamically correct chromatographic data in HILIC systems. The volume of the aqueous stationary phase, Vex, can be determined experimentally by frontal analysis combined with Karl Fischer titration method, yielding isotherms of water adsorbed on polar columns, which allow direct prediction of the effects of the composition of aqueous–organic mobile phase on the retention in HILIC systems, and more accurate determination of phase volumes in columns and consistent retention data for any mobile phase composition. The n phase volume ratios of 18 columns calculated according to the new phase convention strongly depend on the type of the polar column. Zwitterionic and TSK gel amide and amine columns show especially strong water adsorption.
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Korotkova, T. G., and G. I. Kasyanov. "Analysis of the rectifying separation of H2 O–D2 O mixture into light and heavy water by means of mathematical modeling." Fine Chemical Technologies 17, no. 3 (July 31, 2022): 189–200. http://dx.doi.org/10.32362/2410-6593-2022-17-3-189-200.

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Objectives. To apply an analytical method for the calculation of a distillation column for the production of D2O at a two-column Kuhn installation operating under vacuum: to simulate the Kuhn installation in the Hysys software; and to compare experimental and calculated data.Methods. Analytical method for the calculation of distillation columns “from stage to stage,” from the lower theoretical separation stage (TSS) to the upper stage. This method is based on phase equilibrium at the TSS with known data of input flows and component concentrations in the column bottoms. Hysys was used as modeling software.Results. Comparison of the calculation results with Kuhn’s experimental data testified to the high calculation accuracy of the vapor–liquid phase equilibrium for the H2O–D2O mixture at the TSS. The convergence of the D2O material balance for the entire installation was 0.005%. The identification parameter was the number of the column feed plate. Simulation of the Kuhn installation in the Hysys software showed a qualitative agreement of D2O concentrations in material flows. The UNIQUAC (UNIversal QUAsiChemical) model was used to calculate activity coefficients. The found values of the number of theoretical separation stages (NTSS) in both columns, were 88 and 153 taking into account the reboiler and condenser. This is less than the experimental 295 and 400, respectively. The discrepancy can be explained by the increased phase equilibrium H2O constant in the UNIQUAC model. However, the convergence of the material balance in terms of D2O was high and amounted to 1.38·10−6 %. The absolute error of the found concentrations in material flows did not exceed 0.12 mol %.Conclusions. The results obtained indicated the possible use of the Hysys modeling software when searching for and optimizing the operating mode of the block diagram of a cascade of distillation columns with direct and recycle flows to separate a mixture of water into light and heavy water. The final results obtained with regard to the operating mode, inlet and outlet material flows (flow rate, composition, temperature, and pressure drop across the column) are recommended for use in the analytical program for the calculation of the distillation column to refine the NTSS and distribution profile of the concentrations of the H2O and D2O components along the height of the column.
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Richter, K., D. Mader, P. Westfeld, and H. G. Maas. "DETERMINATION OF 3D WATER TURBIDITY PARAMETER FIELDS FROM LIDAR BATHYMETRY DATA BY VOLUMETRIC DATA ANALYSIS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2022 (May 30, 2022): 945–51. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2022-945-2022.

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Abstract. Accurate information on turbidity in water bodies is relevant to numerous limnological and oceanological issues. However, the collection of turbidity parameters using conventional in-situ measurement methods is time-consuming and cost-intensive and therefore usually limited to very small study areas. The use of airborne LiDAR bathymetry data is a promising alternative. However, existing methods for deriving turbidity parameters from airborne LiDAR bathymetry data are limited to the determination of one single turbidity parameter per water column element. The paper presents a novel approach that overcomes the existing limitations enables the determination of 3D water turbidity fields. By volumetric data analysis, the vertical turbidity stratification in the water body can be determined. For validation purposes, the approach was applied to synthetic measurement data generated in a simulation as well as a real measurement data set of a shallow coastal water.
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Wall, Carrie, Rudy Klucik, Chris Slater, Charles Anderson, and Veronica Martinez. "Towards a cloud optimized data lake for archived water column sonar data." Journal of the Acoustical Society of America 153, no. 3_supplement (March 1, 2023): A63. http://dx.doi.org/10.1121/10.0018170.

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Due to their value to the ocean science and fisheries management communities, NOAA National Centers for Environmental Information (NCEI), with NOAA Fisheries and University of Colorado Cooperative Institute for Research in Environmental Sciences, established a national archive for water column sonar data. There are currently 210 TB of data freely and publicly available, and that volume is growing rapidly as sonar technology advances. The spatially and temporally diverse archive is accessible through its dedicated data portal and Amazon Web Services. Throughout 2023, we will develop a cloud-optimized data lake of echosounder files representing a ∼100 TB subset of the archive holdings. The echosounder files will be translated from their complex, binary and proprietary file format into zarr files following the Earth Science Information Partners analysis-ready cloud-optimized standards. The resulting data lake will serve as the foundation for building analytical capabilities that can cost-effectively tap into the archive’s sonar holdings, especially when coupled with compute power. The zarr stores will subsequently feed into EchoFish, the archive’s AWS-hosted interactive data visualization platform to facilitate subsetting and prevent the data lake from becoming a data swamp. The progress and potential applications of this NOAA Center for Artificial Intelligence funded project will be presented.
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Malekpour, A., and B. W. Karney. "Rapid Filling Analysis of Pipelines with Undulating Profiles by the Method of Characteristics." ISRN Applied Mathematics 2011 (July 14, 2011): 1–16. http://dx.doi.org/10.5402/2011/930460.

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On the premise of water hammer theory, a numerical model is proposed for simulating the filling process in an initially empty water conveyance pipeline with an undulating profile. Assuming that the pipeline remains full and ignoring air and water interactions in the already filled pipeline, the ongoing filling is simulated using the method of characteristics on an adaptive computational grid. The performance of the model is verified using previously published experimental and rigid column data. The model nicely replicates published experimental data. The model shows that the movement of the filling front into the system can be assumed as a rigid column as long as the flow away from the filling front is undisturbed elsewhere. Furthermore, applying the model to a hypothetical pipe system with an inline-partially open valve shows that the proposed model is robust enough to capture the transient events initiated within the moving column, a vital capability that the existing rigid water column models lack.
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Vetaw, Greg, Suren Jayasuriya, Brian ODonnell, and Wendy Newcomb. "Estimating forward-looking sonar (FLS) image quality using water column data features." Journal of the Acoustical Society of America 154, no. 4_supplement (October 1, 2023): A247. http://dx.doi.org/10.1121/10.0023441.

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Forward-looking sonar (FLS) underwater imaging systems are primarily used for measuring seafloor backscatter. These returns, however, may be occluded due to scattering from other objects in the water such as fish, bubbles, or other suspended objects, and in-band acoustic interference from sources like engines or other acoustic transmissions. The presence of non-seafloor scatterers or interference is most easily observed and estimated in the water column data, the portion of the time-series after the sonar has transmitted a ping, but before that ping has scattered off the seafloor and returned to the FLS. Analysis of the water column time-series returns can be leveraged to estimate the quality of seafloor imagery. In this study, we characterize bright scatterers that appear in the water column data using statistical tools and generate corresponding quality metrics to evaluate imagery.
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Dissertations / Theses on the topic "Water column data analysis"

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Leitch, John Gaston. "Productivity analysis and optimization of oscillating water column wave power devices." Thesis, Queen's University Belfast, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.329360.

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Hassan, Abdallah. "Column-based storage for analysis of high-frequency stock trading data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255019.

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This study investigated the efficiency of the available open-source columnbased storage formats with support for semi-flexible data in combination with query engines that support querying these formats. Two different formats were identified, Parquet and ORC, and both were tested in two different modes, uncompressed and compressed with the compression algorithm Snappy. They were tested by running two queries on the host company’s data converted to the appropriate formats, one simple averaging query and one more complicated with counts and filtering. The queries were run with two different query engines, Spark and Drill. They were also run on two dataset with different sizes to test scalability. The query execution time was recorded for each tested alternative. The results show that Snappy compressed formats always outperformed their non-compressed counterparts, and that Parquet was always faster than ORC. Drill performed faster on the simple query while Spark performed faster on the complex query. Drill also had the least increase in query execution time when the size of the dataset increased on both queries. The conclusion is that Parquet with Snappy is the storage format which gives the fastest execution times. However, both Spark and Drill have their own advantages as query engines.
Denna studie undersökte effektiviteten av de i öppen källkod tillgängliga kolumnbaserade lagringsformaten med stöd för semistrukturerad data i kombination med frågemotorer som stödjer dessa format. Två olika format identifierades, Parquet och ORC, och båda testades i på olika sätt, okomprimerade och komprimerade med kompressionsalgoritmen Snappy. De testades genom att köra två frågor på uppdragsgivarens data som konverterades till de testade formaten, en enkel som räknar genomsnitt och en mer komplicerad med radräkning och filtrering. Båda frågorna kördes med två olika frågemotorer, Spark and Drill. De kördes på två datamängder med olika storlekar för att testa skalbarhet. Exekveringstiden mättes för varje testat alternativ. Resultaten visar att Snappy-komprimerade format alltid exekverade snabbare än de ickekomprimerade formaten, och att Parquet alltid körde snabbare än ORC. Drill var snabbare på den enkla frågan medan Spark var snabbare på den komplexa. Drill hade också den minsta ökningen i exekveringstiden när storleken på datamängden ökade på båda frågorna. Slutsatsen är att Parquet med Snappy är det lagringsformat som ger den snabbaste exekveringstiden, och att både Spark och Drill har sina egna fördelar.
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Horko, Michael. "CFD optimisation of an oscillating water column wave energy converter." University of Western Australia. School of Mechanical Engineering, 2008. http://theses.library.uwa.edu.au/adt-WU2008.0089.

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Although oscillating water column type wave energy devices are nearing the stage of commercial exploitation, there is still much to be learnt about many facets of their hydrodynamic performance. This research uses the commercially available FLUENT computational fluid dynamics flow solver to model a complete OWC system in a two dimensional numerical wave tank. A key feature of the numerical modelling is the focus on the influence of the front wall geometry and in particular the effect of the front wall aperture shape on the hydrodynamic conversion efficiency. In order to validate the numerical modelling, a 1:12.5 scale experimental model has been tested in a wave tank under regular wave conditions. The effects of the front lip shape on the hydrodynamic efficiency are investigated both numerically and experimentally and the results compared. The results obtained show that with careful consideration of key modelling parameters as well as ensuring sufficient data resolution, there is good agreement between the two methods. The results of the testing have also illustrated that simple changes to the front wall aperture shape can provide marked improvements in the efficiency of energy capture for OWC type devices.
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Guidi, Lionel. "Particle flux transformation in the mesopelagic water column: process analysis and global balance." Diss., Texas A&M University, 2008. http://hdl.handle.net/1969.1/85946.

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Marine aggregates are an important means of carbon transfers downwards to the deep ocean as well as an important nutritional source for benthic organism communities that are the ultimate recipients of the flux. During these last 10 years, data on size distribution of particulate matter have been collected in different oceanic provinces using an Underwater Video Profiler. The cruise data include simultaneous analyses of particle size distributions as well as additional physical and biological measurements of water properties through the water column. First, size distributions of large aggregates have been compared to simultaneous measurements of particle flux observed in sediment traps. We related sediment trap compositional data to particle size (d) distributions to estimate their vertical fluxes (F) using simple power relationships (F=Ad^b). The spatial resolution of sedimentation processes allowed by the use of in situ particle sizing instruments lead to a more detailed study of the role of physical processes in vertical flux. Second, evolution of the aggregate size distributions with depth was related to overlying primary production and phytoplankton size-distributions on a global scale. A new clustering technique was developed to partition the profiles of aggregate size distributions. Six clusters were isolated. Profiles with a high proportion of large aggregates were found in high-productivity waters while profiles with a high proportion of small aggregates were located in low-productivity waters. The aggregate size and mass flux in the mesopelagic layer were correlated to the nature of primary producers (micro-, nano-, picophytoplankton fractions) and to the amount of integrated chlorophyll a in the euphotic layer using a multiple regression technique on principal components. Finally, a mesoscale area in the North Atlantic Ocean was studied to emphasize the importance of the physical structure of the water column on the horizontal and vertical distribution of particulate matter. The seasonal change in the abundance of aggregates in the upper 1000 m was consistent with changes in the composition and intensity of the particulate flux recorded in sediment traps. In an area dominated by eddies, surface accumulation of aggregates and export down to 1000 m occured at mesoscale distances (<100 km).
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Tardif, Geneviève. "Multivariate Analysis of Canadian Water Quality Data." Thesis, Université d'Ottawa / University of Ottawa, 2015. http://hdl.handle.net/10393/32245.

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Physical-chemical water quality data from lotic water monitoring sites across Canada were integrated into one dataset. Two overlapping matrices of data were analyzed with principal component analysis (PCA) and cluster analysis to uncover structure and patterns in the data. The first matrix (Matrix A) had 107 sites located throughout Canada, and the following water quality parameters: pH, specific conductance (SC), and total phosphorus (TP). The second matrix (Matrix B) included more variables: calcium (Ca), chloride (Cl), total alkalinity (T_ALK), dissolved oxygen (DO), water temperature (WT), pH, SC and TP; for a subset of 42 sites. Landscape characteristics were calculated for each water quality monitoring site and their importance in explaining water quality data was examined through redundancy analysis. The first principal components in the analyses of Matrix A and B were most correlated with SC, suggesting this parameter is the most representative of water quality variance at the scale of Canada. Overlaying cluster analysis results on PCA information proved an excellent mean to identify the major water characteristics defining each group; mapping cluster analysis group membership provided information on their spatial distribution and was found informative with regards to the probable environmental influences on each group. Redundancy analyses produced significant predictive models of water quality demonstrating that landscape characteristics are determinant factors in water quality at the country scale. The proportion of cropland and the mean annual total precipitation in the drainage area were the landscape variables with the most variance explained. Assembling a consistent dataset of water quality data from monitoring locations throughout Canada proved difficult due to the unevenness of the monitoring programs in place. It is therefore recommended that a standard for the monitoring of a minimum core set of water quality variable be implemented throughout the country to support future nation-wide analysis of water quality data.
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Bergondo, Deanna L. "Examining the processes controlling water column variability in Narragansett Bay : time series data and numerical modeling /." View online ; access limited to URI, 2004. http://0-wwwlib.umi.com.helin.uri.edu/dissertations/dlnow/3135893.

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Cauchi, Michael. "Data analysis tools for safe drinking water production." Thesis, Cranfield University, Cranfield University at Silsoe, 2006. http://hdl.handle.net/1826/1225.

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Providing safe and high quality drinking water is essential for a high quality of life. However, the water resources in Europe are threatened by various sources of contamination. This has led to the development of concepts and technologies to create a basis for provision of safe and high quality drinking water, which had thus resulted in the formation of the Artificial Recharge Demonstration project (ARTDEMO). The overall aim of this thesis in relation to the ARTDEMO project was to develop a realtime automated water monitoring system, capable of using data from various complementary sources to determine the amounts of inorganic and organic pollutants. The application of multivariate calibration to differential pulse anodic stripping voltammograms and fluorescence spectra (emission and excitation-emission matrix) is presented. The quantitative determination of cadmium, lead and copper acquired on carbon-ink screen-printed electrodes, arsenic and mercury acquired on gold-ink screen-printed electrodes, in addition to the quantitative determination of anthracene, phenanthrene and naphthalene have been realised. The statistically inspired modification of partial least squares (SIMPLS) algorithm has been shown to be the better modelling tool, in terms of the root mean square error of prediction (RMSEP), in conjunction with application of data pre-treatment techniques involving rangescaling, filtering and weighting of variables. The % recoveries of cadmium, lead and copper in a certified reference material by graphite furnace atomic absorption spectrometry (GF-AAS) and multivariate calibration are in good agreement. The development of a prototype application on a personal digital assistant (PDA) device is described. At-line analysis at potential contamination sites in which an instant response is required is thus possible. This provides quantitative screening of target metal ions. The application imports the acquired voltammograms, standardises them against the laboratory-acquired voltammograms (using piecewise direct standardisation), and predicts the concentrations of the target metal ions using previously trained SIMPLS models. This work represents significant progress in the development of analytical techniques for water quality determination, in line with the ARTDEMO project's aim of maintaining a high quality of drinking water.
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Cheung, Ngai-pang. "Statistical analysis of marine water quality data in Hong Kong /." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23424953.

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Sin, Yongsik. "Ecosystem analysis of water column processes in the York River estuary, Virginia: Historical records, field studies and modeling analysis." W&M ScholarWorks, 1998. https://scholarworks.wm.edu/etd/1539616855.

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Analyses of EPA long-term datasets (1985--1994) combined with field studies and ecosystem model development were used to investigate phytoplankton and nutrient dynamics in the York River estuary. Analysis of the EPA dataset showed that algal blooms occurred during winter-spring followed by smaller summer blooms. Peak phytoplankton biomass during the winter-spring blooms occurred in the mid reach of the mesohaline zone whereas during the summer bloom it occurred in the tidal fresh-mesolialine transition zone. River discharge appears to be the major factor controlling the location and timing of the winter-spring blooms and the relative degree of potential nitrogen (N) and phosphorus (P) limitation. Phytoplankton biomass in tidal fresh water regions was limited by high flushing rates. Water residence time was less than cell doubling rate during seasons of high river flow. Positive correlations between PAR at 1m depth and chlorophyll a suggested light limitation of phytoplankton in the tidal fresh-mesohaline transition zone. A significant relationship between the delta of salinity between surface and bottom water and chlorophyll a distribution suggested the importance of tidal mixing for phytoplankton dynamics in the mesohaline zone. Accumulation of phytoplankton biomass in the mesohaline zone was generally controlled by N with the nutrient supply provided by benthic or bottom water remineralization. In general, phytoplankton dynamics appear controlled to a large extent by resource limitation (bottom-up control) rather than zooplankton grazing (top-down control). The dynamics of phytoplankton size structure were investigated in the freshwater, transitional and estuarine reaches of the York River over an annual cycle. The contribution of large cells (micro-plankton, >20 mum) to total biomass increased downstream during winter whereas that of small cells (nano-, 3--20 mum) pico-plankton, <3 mum) increased downstream during summer. I conclude from these studies that spatial and seasonal variations in size structure of phytoplankton observed on the estuarine scale are determined both by the different preferences of micro-, nano-, and picoplankton for nutrients and by their different light requirements. Analyses of phytoplankton size structure are, thus, necessary to better understand phytoplankton dynamics and to better manage water quality in estuarine systems. An ecosystem model was developed to integrate these data and to investigate mechanisms controlling the size-structured phytoplankton dynamics in the mesohaline zone of the York River estuary. The model developed in Fortran90 included 12 state variables describing the distribution of carbon and nutrients (nitrogen, phosphorus) in the surface mixed layer. Forcing functions included incident radiation, temperature, wind stress, mean flow and tide including advective transport and turbulent mixing. Model results supported the general view that phytoplankton dynamics are controlled by abiotic mechanisms (i.e. bottom-up control) rather than biotic, trophic interactions in the York River estuary. Model sensitivity tests showed that small cells (pico-, nano-sized) are more likely regulated by temperature and light whereas large cells (micro-sized) are regulated by physical processes such as advection, and tidal mixing. Microphytoplankton blooms during winter- pring resulted from a combination of longitudinal advection and vertical diffusion of phytoplankton cells rather than in-situ production.
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Cheung, Ngai-pang, and 張毅鵬. "Statistical analysis of marine water quality data in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31254846.

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Books on the topic "Water column data analysis"

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Water quality data: Analysis and interpretation. Boca Raton: Lewis Publishers, 1995.

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Hounslow, Arthur W. Water quality data: Analysis and interpretation. Boca Raton: Lewis, 1995.

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Kooijman, S. A. L. M. The analysis of aquatic toxicity data. Amsterdam: VU University Press, 1996.

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J, Dunn William. 1989 lower Quinebaug River: Water quality data, wastewater discharge data, water quality analysis. Westborough, Mass: Massachusetts Dept. of Environmental Protection, Division of Water Pollution Control, Technical Services Branch, 1990.

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J, Dunn William. 1990 Westfield River Survey: Water quality data, wastewater discharge data, water quality analysis. Westborough, Mass: Massachusetts Dept. of Environmental Protection, Division of Water Pollution Control, Technical Services Branch, 1991.

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Votruba, Ladislav. Analysis of water resource systems. Amsterdam: Elsevier, 1988.

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Dunn, William B. 1992 Housatonic River survey: Water quality data, water quality analysis. North Grafton, Mass: Massachusetts Dept. of Environmental Protection, Office of Watershed Management, 1994.

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Webber, Margo. 1988 upper Quinebaug River survey: Water quality data, wastewater discharge data, water quality analysis. Westborough, MA: Massachusetts Dept. of Environmental Quality Engineering, Division of Water Pollution Control, Technical Services Branch, 1988.

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L, Orzol L., Oregon. Water Resources Dept., and Geological Survey (U.S.), eds. Ground-water and water-chemistry data for the Willamette Basin, Oregon. Portland, Or: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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McKinley, P. W. Surface water data network analysis for Puerto Rico. San Juan, P.R: U.S. Geological Survey, 1985.

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Book chapters on the topic "Water column data analysis"

1

Stephansen, Cathrine, Anders Bjørgesæter, Odd Willy Brude, Ute Brönner, Tonje Waterloo Rogstad, Grethe Kjeilen-Eilertsen, Jean-Marie Libre, and Christian Collin-Hansen. "Introduction to the Concepts and Use of ERA Acute." In Assessing Environmental Risk of Oil Spills with ERA Acute, 1–19. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70176-5_1.

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AbstractIntroducing the main concepts of ERA Acute, this chapter describes the overall framework and purpose of the methodology. ERA Acute is a recently developed oil spill risk assessment (OSRA) methodology for quantification of oil spill impacts and risk (Environmental Risk Assessment, ERA). It covers four environmental compartments; sea surface (seabirds, turtles, marine mammals), water column (fish eggs/larvae), shoreline and seafloor (species and habitats) using continuous impact functions and introduces the Resource Damage Factor (RDF). The methodology depends on external oil spill modelling and input data related to the presence and vulnerability of Valued Ecosystem Components (VECs). ERA Acute is developed to provide an improvement over the currently used “MIRA” method on the Norwegian Continental Shelf (NCS) and is better suited for risk management, decision-making and analyses from screening studies to full environmental risk assessments.
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Fresenius, Wilhelm, Karl Ernst Quentin, and Wilhelm Schneider. "Evaluation of Analysis Data." In Water Analysis, 703–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-72610-1_6.

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Faust, Martin, David Schwalb, and Jens Krueger. "Fast Column Scans: Paged Indices for In-Memory Column Stores." In In Memory Data Management and Analysis, 15–27. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13960-9_2.

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Edalat, Farideh Delavari, and M. Reza Abdi. "Data Analysis Methodology." In Adaptive Water Management, 81–91. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64143-0_7.

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Lung, Wu-Seng. "Data Analysis." In Water Quality Modeling That Works, 13–68. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90483-8_2.

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Cantor, Abigail F. "Data Management and Analysis." In Water Distribution System Monitoring, 53–70. 2nd edition. | Boca Raton : Taylor & Francis, CRC Press, 2017.: CRC Press, 2018. http://dx.doi.org/10.1201/9781315160634-5.

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De, Alak. "New Mode of Column Settling Data Analysis." In Sedimentation Process and Design of Settling Systems, 119–42. New Delhi: Springer India, 2017. http://dx.doi.org/10.1007/978-81-322-3634-4_8.

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Shahin, Mamdouh. "Analysis of Precipitation Data." In Water Science and Technology Library, 135–69. Dordrecht: Springer Netherlands, 2007. http://dx.doi.org/10.1007/1-4020-5414-9_4.

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A. S., Divya, and Joji V. S. "Pumping Test Data Analysis (PTDA)." In Ground Water Abstraction Structures, 75–88. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-34881-5_5.

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Vega-Moreno, Daura, Bárbara Abaroa-Pérez, and J. Joaquín Hernández-Brito. "Analysis of Marine Microplastics in the Water Column Sampled up to 300 M Depth." In Springer Water, 139–44. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45909-3_22.

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Conference papers on the topic "Water column data analysis"

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R. Udengaard, C., and K. Craft. "Analysis of Water Column Complexity in OBN Data." In 74th EAGE Conference and Exhibition incorporating EUROPEC 2012. Netherlands: EAGE Publications BV, 2012. http://dx.doi.org/10.3997/2214-4609.20148387.

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Chen, Yiyun, Yaolin Liu, Dun Wang, XueSong Kong, and Chen Zeng. "Feasibility of estimating heavy metal concentrations in water column using hyperspectral data and partial least squares regression." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838559.

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Fleming, Alan, Irene Penesis, Laurie Goldsworthy, Gregor Macfarlane, Neil Bose, and Tom Denniss. "Phase Averaged Flow Analysis in an Oscillating Water Column Wave Energy Converter." In ASME 2011 30th International Conference on Ocean, Offshore and Arctic Engineering. ASMEDC, 2011. http://dx.doi.org/10.1115/omae2011-49426.

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This paper presents the application of phase averaging to experimental data obtained during scale model testing of a forward facing bent duct oscillating water column (OWC). Phase averaging is applied to both wave probe data and a two dimensional velocity field at the centreline plane of the OWC model obtained using PIV. Results are presented for one monochromatic wave condition. The influence of varied wave frequency is briefly discussed.
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de Oliveira Costa, Daniel, Joel Sena Sales Junior, and Antonio Carlos Fernandes. "Oscillating Water Column Motion Inside Circular Cylindrical Structures." In ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/omae2019-96048.

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Abstract A non-linear mathematical model is presented for the Equation of Motion of the Water Column inside circular cylindrical structures in different cases, comparing to previous models in literature. Experimental model tests were carried out investigating the water column decay under given initial conditions, and an analysis is performed for each cycle showing the dynamic behaviour of OWC evolving in time. The results show asymmetric pattern in the time series acquired in the decay tests as a consequence of variations of the Added Length and quadratic viscous damping as the direction of the flow changes, as observed in previous studies. A general procedure is proposed to assess the unknown parameters including the quadratic damping viscous coefficients through the concept of “equivalent linear harmonic” as a linearisation of such terms, enlightening its dependence on the motion amplitude as well as the water column draft. Experimental data for the OWC response under a set of incoming regular waves is also presented, comparing the results to numerical simulation through a solver based on the estimation of the damping coefficients obtained in the decay tests.
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Al-Aiderous, Abdullah. "Troubleshooting Gas Dehydration Systems Using Data Analysis." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/207390-ms.

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Abstract The objective of this paper is to showcase the successful and innovative troubleshooting data analysis techniques to operate a TEG dehydration system optimally and reduce glycol loss and to meet the product specifications in one of the gas dehydration systems in an upstream gas oil separation plant (GOSP). The gas dehydration system using Triethylene Glycol (TEG) is the most widely used and reliable gas dehydration system in upstream operation. These proven data analysis techniques were used to tackle major and chronic issues associated with gas dehydration system operation that lead to excessive glycol losses, glycol degradation, and off-specification products. Glycol loss is the most important operating problem in the gas dehydration system and it represents a concern to the operation personnel. Most dehydration units are designed for a loss of less than 1 pound of glycol per million standard cubic feet of natural gas treated, depending on the TEG contactor operating temperature. In this paper, comprehensive data analysis of the potential root causes that aggravate undesired glycol losses degradation and off-specification products will be discussed along with solutions to minimize the expected impact. For example, operating the absorption vessel (contactor) or still column at high temperature will increase the glycol loss by vaporization. Also, the glycol losses occurring in the glycol regenerator section are usually caused by excessive reboiler temperature, which causes vaporization or thermal decomposition of glycol (TEG). In addition, excessive top temperature in the still column allows vaporized glycol to escape from the still column with the water vapor. Excessive contactor operating temperature could be the result of malfunction glycol cooler or high TEG flow rate. This paper will focus on a detailed case study in one of the running TEG systems at a gas-oil separation plant.
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Aller, Izabelle F., Marcus V. C. Barao, Joao P. Ristow, Marina M. Bousfield, Guillaume F. G. Barrault, and Antonio H. F. Klein. "Analysis of refection in oceanographic seismic data for identification of thermohaline structures in the water column of southern Brazil." In 2017 IEEE/OES Acoustics in Underwater Geosciences Symposium (RIO Acoustics). IEEE, 2017. http://dx.doi.org/10.1109/rioacoustics.2017.8349711.

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Zhang, Wen Juan, Fengxia Xu, and Xiao Hua. "Deuterization Process and Result Analysis of Resin in Heavy Water Purification System of a Reactor." In 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-91360.

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Abstract This paper introduces in detail the whole process of resin replacement of heavy water purification system in a reactor reconstruction project in Algeria, including old resin discharge, pipeline cleaning, new resin filling, new resin deuterization, water quality detection, heavy water storage and continuous operation of the system. By sorting out deuterization data and tracking and analyzing the water quality detection results, it is considered that the resin deuterization process of the heavy water purification system of a reactor is smooth. After deuterization, the effluent concentrations of the three resin columns of the heavy water purification system meet the operation requirements. The whole deuterization process tries to save precious high concentration heavy water for Algeria. After deuterization, the resin column is connected to the heavy water purification system. After continuous operation and sampling detection, it is determined that the purification effect is ideal and the pH value is not affected. The resin of the heavy water purification system is successfully replaced and can be put into use. At the same time, aiming at some problems in the deuterization process, this paper analyzes the causes in detail, summarizes the experience and lessons, and gives optimization suggestions and precautions in the deuterization process.
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Sayar, Ersin. "On the Hydrodynamic Analysis and Heat Transfer Investigation of Forced Oscillated Vertical Annular Fluid Column." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66915.

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Heat transfer from a forced oscillated water column is investigated experimentally and theoretically. Further details of the water flow can be given as mini-scale, vertical, annular, internal, reciprocating and single phase. The inner wall of the stationary concentric element is heated and water is oscillated through the annuli. The data is acquired from the measurements both in the initial transient period and in the pseudo-steady (cyclic) period from the experimental set-up. The effect of the oscillations is observed on the measured temperature field and heat transfer. There is minor radial temperature variation in the water column. Experimental study proved that the frequency, wall heat flux and related wall temperatures are important parameters affecting heat transfer. It is understood that, the effective heat transfer mechanism is enhanced in oscillating flows. Cycle and space-averaged heat convection coefficients are calculated for the present oscillating flows. The physical and mathematical behavior of the resulting heat convection coefficients are analyzed using the data acquired from the experiments. The predicted cycle-space averaged heat convection coefficients using the experimental data are shown to have a logical trend with the experimental observations. The analysis is carried out for different oscillation frequencies at various applied wall heat fluxes while the displacement amplitude remains constant. A novel control volume formulation is introduced in order to investigate pressure distribution and energy balance of water over a cycle for the present reciprocating flow and the formulations are reorganized in order to capture the cycle-averaged energy balance of the control volume. The present study is novel because it appears to be the first paper on the analytical hydrodynamic analysis of forced oscillated vertical annular fluid flow. The present investigation has possible applications in moderate sized wicked heat pipes, solid matrix compact heat exchangers compromising of metallic foams (in some other types of heat exchengers as well), possibly in boilers, filtration equipment, and steam generators.
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Stansberg, Carl Trygve. "Nonlinear Wave Amplification Around Column-Based Platforms in Steep Waves." In ASME 2014 33rd International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/omae2014-24569.

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The wave diffraction and upwelling around vertical columns such as platform legs and offshore wind turbine foundations is studied. Nonlinear contributions in steep wave conditions are particularly addressed. Data and analyses from a previous experiment with fixed cylinders in deep water regular and random waves are reviewed, and essential findings are highlighted. Measured extreme crests are clearly higher than linear predictions, connected with an increase in basic harmonics as well as with second-order components. Improved results are obtained with fully second-order modeling, while this is still incomplete, and such analyses can be computationally demanding as well as non-robust. An alternative, simplified empirical nonlinear correction approach based on these findings, previously suggested for engineering design prediction of extreme crests in random waves, is validated against a re-analysis of the fixed column data. In addition, validation is also made against model test data for two floating production semis. The method agrees well with the data, taking into account the simplicity of the method and the complexity of the problem, and is a tool for early design phases. Detailed studies will still require model tests and CFD development.
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Drago, Michele, Matteo Mattioli, and Federico Quondamatteo. "Metocean Design Criteria for Deep Water Offshore Systems." In ASME 2015 34th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/omae2015-41108.

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In the last decades the off-shore hydrocarbon extraction industry has extended its field of activities in very deep waters up to more than 2000 m. Extraction and production systems can vary between complete subsea development with export pipelines to on-shore treatment plants and surface development by means of surface units (SSFU) connected to subsea wells by risers and anchored by mooring systems which extend through the whole water column. For exclusively subsea developments, including sealines, the metocean design data and criteria to be developed and the applicable methodologies to derive them are well established. Univariate theory is usually applied in order to quantify the risk of failure due to (extreme) sea conditions. The surface developments and the connections through the water column (e.g. risers, moorings) are newly challenging aspects. They could suffer from severe damages due to the occurrence of critical combinations of different variables during a single sea storm:: thus, it may be important to consider the joint occurrence of different forcing conditions (i.e. multivariate analysis). The present manuscript provides a simplified methodology in order to carry out a sensible multivariate analysis of the contemporary data such as wind, waves and current. Three different cases are analyzed: i) the correlation of extremes of different variables (wind, wave and current), ii) the extreme profiles of current and iii) the current profile climate. A practical case study is illustrated throughout the paper.
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Reports on the topic "Water column data analysis"

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Scholz, Florian. Sedimentary fluxes of trace metals, radioisotopes and greenhouse gases in the southwestern Baltic Sea Cruise No. AL543, 23.08.2020 – 28.08.2020, Kiel – Kiel - SEDITRACE. GEOMAR Helmholtz Centre for Ocean Research Kiel, November 2020. http://dx.doi.org/10.3289/cr_al543.

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R/V Alkor Cruise AL543 was planned as a six-day cruise with a program of water column and sediment sampling in Kiel Bight and the western Baltic Sea. Due to restrictions related to the Covid-19 pandemic, the original plan had to be changed and the cruise was realized as six oneday cruises with sampling in Kiel Bight exclusively. The first day was dedicated to water column and sediment sampling for radionuclide analyses at Boknis Eck and Mittelgrund in Eckernförde Bay. On the remaining five days, water column, bottom water, sediment and pore water samples were collected at eleven stations covering different types of seafloor environment (grain size, redox conditions) in western Kiel Bight. The data and samples obtained on cruise AL543 will be used to investigate (i) the sedimentary cycling of bio-essential metals (e.g., nickel, zinc, and their isotopes) as a function of variable redox conditions, (ii) the impact of submarine groundwater discharge and diffusive benthic fluxes on the distribution of radium and radon as well as greenhouse gases (methane and nitrous oxide) in the water column, and (iii) to characterize and quantify the impact of coastal erosion on sedimentary iron, phosphorus and rare earth element cycling in Kiel Bight.
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Starkey, Eric, Daniel McCay, Chrisopher Cooper, and Mark Hynds. Assessment of estuarine water and sediment quality at Cape Hatteras National Seashore and Cape Lookout National Seashore: 2021 data summary. National Park Service, October 2022. http://dx.doi.org/10.36967/2294854.

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In July 2021 the Southeast Coast Network conducted an assessment of water quality in the vicinity of Cape Hatteras and Cape Lookout National Seashores as part of the National Park Service Vital Signs Monitoring Program. Monitoring was conducted following methods developed by the Environmental Protection Agency (EPA) as part of the National Coastal Assessment Program (EPA 2010). Laboratory analysis measured chlorophyll a and total and dissolved concentrations of nitrogen and phosphorous. Field measurements included water temperature, pH, dissolved oxygen, and salinity. Water clarity, which requires a Secchi depth measurement, was obtained when possible. All measured parameters were rated as good, fair, or poor based on thresholds set by the EPA (2012). All measured parameters were rated as good, fair, or poor based on thresholds set by the EPA (2012). Water clarity was not calculated at all sites due to the shallow depth of the water in the sound. Of the sites where water clarity could be assessed (5 sites), four measured good and one fair. Sites that were too shallow to measure water clarity had water column conditions that did not preclude light from penetrating to the bottom of the water body so no ecological effects would be expected.Turbidity measurements ranged from 1.0 to 8.0 FNU (Formazin Nephelometric Units) and are good (i.e. < 25 NTU [Nephelometric Turbidity Units]) according to North Carolina Standards (NC Administrative Code 2019). Note that turbidity units of FNU and NTU are roughly equivalent. Chlorophyll a concentration was rated good at 29 sites (97%), and fair at one site (3%). Dissolved inorganic nitrogen (DIN) concentration was good at all 30 sites (100%). Dissolved inorganic phosphorus (DIP) concentration was good at all 30 sites (100%). Dissolved oxygen concentration (bottom) was rated good at all 30 sites (100%). A water-quality condition summary index was calculated for each site sampled at Cape Hatteras and Cape Lookout National Seashores based on the categorical assessments of chlorophyll a, DIN and DIP concentrations, dissolved oxygen, and water clarity. This summary index indicated good water-quality conditions at all thirty sites (100%). Based on the summary water-quality index rating, overall water-quality conditions at Cape Hatteras and Cape Lookout National Seashores during sampling in 2021 were good. For sediment, ecological condition was ranked as good at 30 sites (100%). As a result, no adverse impacts to benthic organisms due to sediment contamination are anticipated at any of the sampled sites. This ranking was assigned according to the 2010 Environmental Protection Agency, National Coastal Condition Assessment (NCCA) thresholds for sediment chemistry.
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Chefetz, Benny, and Jon Chorover. Sorption and Mobility of Pharmaceutical Compounds in Soils Irrigated with Treated Wastewater. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7592117.bard.

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Research into the fate of pharmaceutical compounds (PCs) in the environment has focused on aspects of removal efficiency during sewage treatment, degradation in surface water and accumulation in soils and sediments. However, very little information is available on the binding interactions of pharmaceuticals with dissolved organic matter (DOM) originating from wastewater treatment. Such interactions can significantly affect the transport potential of PCs in soils by altering compound affinity for soil particle surfaces. Our primary hypothesis is that the transport potential of PCs in soils is strongly impacted by the type and strength of interaction with DOM and the stability of resulting DOM-PC complexes. The overarching goal of the proposed work is to develop a better understanding of the risk associated with introduction of PCs into the environment with treated wastewater. This goal has been achieved by elucidating the mechanisms of the interaction of selected pharmaceuticals (that have shown to be widespread wastewater contaminants) with DOM constituents; by determining the stability and fate of DOM-PC complexes introduced to soils and soil constituents; and by evaluating the potential uptake of these compounds by plants. Based on the results obtained in this study (column and batch sorption-desorption experiments), we suggest that PCs can be classified as slow-mobile compounds in SOM-rich soil layers. When these compounds pass this layer and/or are introduced into SOM-poor soils, their mobility increases significantly. Our data suggest that in semiarid soils (consisting of low SOM), PCs can potentially be transported to the groundwater in fields irrigated with reclaimed wastewater. Moreover, the higher mobility of the acid PCs (i.e., naproxen and diclofenac) in freshwater column systems suggests that their residues in soils irrigated with reclaimed wastewater can leach from the root zone and be transported to the groundwater after rain events. Our data obtained from the binding experiments of PCs with DOM demonstrate that the hydrophobic DOM fractions were more efficient at sorbing PCs than the more polar hydrophilic fractions at a pH near the pKa of the analytes. At the pH of natural semiarid water and soil systems, including that of reclaimed wastewater and biosolids, the role of the hydrophobic fractions as sorption domains is less important than the contribution of the hydrophilic fractions. We also hypothesize that the DOM fractions interact with each other at the molecular level and do not act as independent sorption domains. In summary, our data collected in the BARD project demonstrate that the sorption abilities of the DOM fractions can also significantly affect the mobility of pharmaceutical compounds in soils influenced by intensive irrigation with treated wastewater or amended with biosolids.
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4

Chefetz, Benny, and Jon Chorover. Sorption and Mobility of Pharmaceutical Compounds in Soils Irrigated with Treated Wastewater. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7709883.bard.

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Research into the fate of pharmaceutical compounds (PCs) in the environment has focused on aspects of removal efficiency during sewage treatment, degradation in surface water and accumulation in soils and sediments. However, very little information is available on the binding interactions of pharmaceuticals with dissolved organic matter (DOM) originating from wastewater treatment. Such interactions can significantly affect the transport potential of PCs in soils by altering compound affinity for soil particle surfaces. Our primary hypothesis is that the transport potential of PCs in soils is strongly impacted by the type and strength of interaction with DOM and the stability of resulting DOM-PC complexes. The overarching goal of the proposed work is to develop a better understanding of the risk associated with introduction of PCs into the environment with treated wastewater. This goal has been achieved by elucidating the mechanisms of the interaction of selected pharmaceuticals (that have shown to be widespread wastewater contaminants) with DOM constituents; by determining the stability and fate of DOM-PC complexes introduced to soils and soil constituents; and by evaluating the potential uptake of these compounds by plants. Based on the results obtained in this study (column and batch sorption-desorption experiments), we suggest that PCs can be classified as slow-mobile compounds in SOM-rich soil layers. When these compounds pass this layer and/or are introduced into SOM-poor soils, their mobility increases significantly. Our data suggest that in semiarid soils (consisting of low SOM), PCs can potentially be transported to the groundwater in fields irrigated with reclaimed wastewater. Moreover, the higher mobility of the acid PCs (i.e., naproxen and diclofenac) in freshwater column systems suggests that their residues in soils irrigated with reclaimed wastewater can leach from the root zone and be transported to the groundwater after rain events. Our data obtained from the binding experiments of PCs with DOM demonstrate that the hydrophobic DOM fractions were more efficient at sorbing PCs than the more polar hydrophilic fractions at a pH near the pKa of the analytes. At the pH of natural semiarid water and soil systems, including that of reclaimed wastewater and biosolids, the role of the hydrophobic fractions as sorption domains is less important than the contribution of the hydrophilic fractions. We also hypothesize that the DOM fractions interact with each other at the molecular level and do not act as independent sorption domains. In summary, our data collected in the BARD project demonstrate that the sorption abilities of the DOM fractions can also significantly affect the mobility of pharmaceutical compounds in soils influenced by intensive irrigation with treated wastewater or amended with biosolids.
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5

Church, I., A. Greer, L. Quas, and M. Williamson. Multibeam water column filtering methods to improve data management and bio-acoustic interpretation. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2017. http://dx.doi.org/10.4095/305839.

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Kehew, J., K. Douglas, M. Riedel, I. Klaucke, T. Norgard, C. Du Preez, Z. Li, and C. Stacey. Swiftsure Bank water column survey SO294, offshore British Columbia. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331402.

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A water column survey at Swiftsure Bank shows evidence of venting from the seabed across a 47.8 km transect with 109 individual plumes identified (Figure 1). The RV Sonne SO294 CLOCKS expedition, from September 12-October 27, 2022, provided opportunity for a multibeam echosounder survey at Swiftsure Bank on behalf of Fisheries and Oceans Canada (DFO) and Natural Resources Canada (NRCan) while transiting on September 17, 2022. The data and results are presented here. Cold seeps are relevant to marine spatial planning as they are ecologically and biologically significant areas (EBSAs), providing unique habitat for chemosynthetic organisms.
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Lynch, James F. SW06 Shallow Water Acoustics Experiment Data Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada531380.

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Lynch, James F. SW06 Shallow Water Acoustics Experiment Data Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada542108.

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Jianchun Liu, Eric Sonnenthal, and Bo Bodvarrson. Analysis of Yucca Mountain Pore-Water Chloride Data. Office of Scientific and Technical Information (OSTI), June 2001. http://dx.doi.org/10.2172/786549.

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Hodgkiss, W. S. Shallow Water Adaptive Array Processing and Data Analysis. Fort Belvoir, VA: Defense Technical Information Center, September 1995. http://dx.doi.org/10.21236/ada306525.

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