Data

Character of organics from SA catchment sources (F-EEM)

Adelaide University
Van Leeuwen, John ; Awad, John ; Chittleborough, David ; Bestland, Erick ; Chow, Chris ; Drikas, Mary ; Fleming, Nigel ; Cox, Jim ; Smernik, Ronald ; Beecham, Simon
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25954/m7ph-nq30&rft.title=Character of organics from SA catchment sources (F-EEM)&rft.identifier=10.25954/m7ph-nq30&rft.publisher=University of South Australia&rft.description=This dataset covers the characterization of organics measured by fluorescence spectroscopy. This dataset includes the fluorescence excitation-emission matrix (F-EEM) spectra for water samples before and after alum treatment. The dataset is part of a collection involving experiments or data collected to investigate the influences of vegetation and soil texture on the nutrient concentrations and the concentration and character of organics present in catchment waters of drinking supply reservoir in the context of their treatability by conventional (coagulation, flocculation and disinfection) treatment processes. Water samples (runoff and subsurface) were collected from zero order catchments having distinct vegetative cover (Australian native vegetation, pine plantation, grasslands) and contrasting texture of the surface soil horizon. Surface water samples were also collected from the Myponga River and Myponga Reservoir. The data presented is the result of a laboratory scale based investigation using natural source water and does not reflect the water quality of product water from a full-scale drinking water treatment plant. This dataset is provided by the University of South Australia (UniSA). All data in this dataset was collected as part of the Australian Research Council project, ARC Linkage-LP110200208.&rft.creator=Van Leeuwen, John &rft.creator=Awad, John &rft.creator=Chittleborough, David &rft.creator=Bestland, Erick &rft.creator=Chow, Chris &rft.creator=Drikas, Mary &rft.creator=Fleming, Nigel &rft.creator=Cox, Jim &rft.creator=Smernik, Ronald &rft.creator=Beecham, Simon &rft.edition=2&rft_rights= https://creativecommons.org/licenses/by/4.0/&rft_subject=Organic chemistry not elsewhere classified&rft_subject=Water treatment processes&rft_subject=Water resources engineering&rft_subject=Natural resource management&rft_subject=Decision support and group support systems&rft_subject=Chemical measurements&rft_subject=DOM character&rft_subject=FEEM&rft_subject=Happy Valley Reservoir Catchment&rft_subject=Landuse&rft_subject=Mt Bold Reservoir Catchment - S7&rft_subject=Mt Bold Reservoir Catchment - S8&rft_subject=Myponga Reservoir Catchment - S1&rft_subject=Myponga Reservoir Catchment - S2&rft_subject=Myponga Reservoir Catchment - S3&rft_subject=Myponga Reservoir Catchment - S4&rft_subject=Myponga Reservoir Catchment - S5&rft_subject=Myponga Reservoir Catchment - S6&rft_subject=Myponga Reservoir&rft_subject=Myponga River&rft_subject=Soil texture&rft_subject=Surface waters&rft_subject=Treatments&rft_subject=Water quality monitoring&rft_subject=Water Quality&rft.type=dataset&rft.language=English Access the data

Full description

This dataset covers the characterization of organics measured by fluorescence spectroscopy. This dataset includes the fluorescence excitation-emission matrix (F-EEM) spectra for water samples before and after alum treatment. The dataset is part of a collection involving experiments or data collected to investigate the influences of vegetation and soil texture on the nutrient concentrations and the concentration and character of organics present in catchment waters of drinking supply reservoir in the context of their treatability by conventional (coagulation, flocculation and disinfection) treatment processes. Water samples (runoff and subsurface) were collected from zero order catchments having distinct vegetative cover (Australian native vegetation, pine plantation, grasslands) and contrasting texture of the surface soil horizon. Surface water samples were also collected from the Myponga River and Myponga Reservoir. The data presented is the result of a laboratory scale based investigation using natural source water and does not reflect the water quality of product water from a full-scale drinking water treatment plant. This dataset is provided by the University of South Australia (UniSA). All data in this dataset was collected as part of the Australian Research Council project, ARC Linkage-LP110200208.

This dataset is part of a larger collection

ACN 633 798 857