Data

Chlorine demand of organics from SA catchment sources

Adelaide University
Van Leeuwen, John ; Awad, John ; Chittleborough, David ; Bestland, Erick ; Chow, Chris ; Drikas, Mary ; Fleming, Nigel ; Cox, Jim ; Smernik, Ronald ; Beecham, Simon
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25954/39gp-4k14&rft.title=Chlorine demand of organics from SA catchment sources&rft.identifier=10.25954/39gp-4k14&rft.publisher=University of South Australia&rft.description=This dataset covers total and free residual chlorine concentrations (mg/L) measured at predetermined time intervals from dosing for water samples before and after alum treatment under standard conditions. 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. 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=Chlorine bulk decay&rft_subject=DOM character&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 total and free residual chlorine concentrations (mg/L) measured at predetermined time intervals from dosing for water samples before and after alum treatment under standard conditions. 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. 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