Data
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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=https://researchoutputs.unisa.edu.au/11541.1/b1c6dcaaed3c4156ae6a2d97c83c436c&rft.title=Chlorine demand of organics from SA catchment sources&rft.identifier=http://research.unisa.edu.au/dataset/273937&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=Dr John Awad&rft.creator=Prof John Van Leeuwen&rft.creator=Prof Simon Beecham&rft.date=2021&rft.coverage=138.420165,-35.400243&rft.coverage=138.478021,-35.380357&rft.coverage=138.430013,-35.412668&rft.coverage=138.448143,-35.390282&rft.coverage=138.4583556,-35.3815787&rft.coverage=138.445072,-35.398132&rft.coverage=138.430057,-35.396977&rft.coverage=138.44843,-35.401789&rft.coverage=138.668923,-35.125531&rft.coverage=138.668758,-35.130397&rft.coverage=138.570457,-35.055574&rft_rights=Open Access&rft_rights= https://creativecommons.org/licenses/by/4.0&rft_subject=Land and Water Management of environments not elsewhere classified&rft_subject=ENVIRONMENT&rft_subject=LAND AND WATER MANAGEMENT&rft_subject=Environmentally Sustainable Information and Communication Services not elsewhere classified&rft_subject=INFORMATION AND COMMUNICATION SERVICES&rft_subject=ENVIRONMENTALLY SUSTAINABLE INFORMATION AND COMMUNICATION SERVICES&rft_subject=Public Health (excl. Specific Population Health) not elsewhere classified&rft_subject=HEALTH&rft_subject=PUBLIC HEALTH (EXCL. SPECIFIC POPULATION HEALTH)&rft_subject=Decision Support and Group Support Systems&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=INFORMATION SYSTEMS&rft_subject=Water Quality Engineering&rft_subject=ENGINEERING&rft_subject=CIVIL ENGINEERING&rft_subject=Natural Resource Management&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=030500&rft_subject=Water Treatment Processes&rft_subject=CHEMICAL ENGINEERING&rft_subject=Chlorine bulk decay&rft_subject=DOM character&rft_subject=Landuse&rft_subject=Soil texture&rft_subject=Water Quality -- Catchments (including groundwater systems) -- Water quality monitoring&rft_subject=Water Quality -- Source Water -- Surface waters&rft_subject=Water Quality -- Surface waters -- Treatments&rft_subject=Water Quality -- Water quality monitoring -- Chemical measurements&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details

Access:

Open

Contact Information

John.VanLeeuwen@unisa.edu.au

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.
Reuse Information

Existing data was sourced from:
local : DSET_EXISTING_DATA
PhD Thesis, Master Thesis and published journal and conference papers

The following software (and version) was used to generate or capture the data:
local : DSET_SW_DATA_CAPTURE
Microsoft Excel 2010 or higher

Data time period: 20 12 2011 to 31 12 2016

This dataset is part of a larger collection

Click to explore relationships graph

138.420165,-35.400243

138.420165,-35.400243

138.478021,-35.380357

138.478021,-35.380357

138.430013,-35.412668

138.430013,-35.412668

138.448143,-35.390282

138.448143,-35.390282

138.4583556,-35.3815787

138.4583556,-35.3815787

138.445072,-35.398132

138.445072,-35.398132

138.430057,-35.396977

138.430057,-35.396977

138.44843,-35.401789

138.44843,-35.401789

138.668923,-35.125531

138.668923,-35.125531

138.668758,-35.130397

138.668758,-35.130397

138.570457,-35.055574

138.570457,-35.055574

Identifiers