Provider: UniSA Research Data Access Portal Content:text/plain; charset="utf-8" TY - DATA Y2 - 2024-03-28 PY - 2019 AU - Van Leeuwen, J AU - Awad, J AU - Chittleborough, D AU - Bestland, E AU - Chow, C AU - Drikas, M AU - Fleming, N AU - Cox, J AU - Smernik, R AU - Beecham, S TI - Treatability of organics from SA catchment sources UR - https://researchoutputs.unisa.edu.au/11541.1/c2b035428f1e43a1860ca2a31f7f4377 PB - University of South Australia LA - English C5 - CC BY KW - Natural Resource Management (FOR-08) KW - Decision Support and Group Support Systems (FOR-08) KW - Water Treatment Processes (FOR-08) KW - Water Quality Engineering (FOR-08) KW - Organic Chemistry (FOR-08) KW - Environmentally Sustainable Information and Communication Services not elsewhere classified (SEO-08) KW - Public Health (excl. Specific Population Health) not elsewhere classified (SEO-08) KW - Land and Water Management of environments not elsewhere classified (SEO-08) KW - Coagulation KW - DOM character KW - Soil texture KW - Landuse KW - Organic treatability RI - -35.400243,138.420165 RI - Myponga Reservoir, Myponga, South Australia RI - -35.380357,138.478021 RI - Myponga River, Myponga, South Australia RI - -35.412668,138.430013 RI - Myponga Reservoir, Myponga, South Australia RI - -35.390282,138.448143 RI - Myponga Reservoir, Myponga, South Australia RI - -35.3815787,138.4583556 RI - Myponga Reservoir, Myponga, South Australia RI - -35.398132,138.445072 RI - Myponga Reservoir, Myponga, South Australia RI - -35.396977,138.430057 RI - Myponga Reservoir, Myponga, South Australia RI - -35.401789,138.448430 RI - Myponga Reservoir, Myponga, South Australia RI - -35.125531,138.668923 RI - Mt Bold Reservoir, Mt Bold, South Australia RI - -35.130397,138.668758 RI - Mt Bold Reservoir, Mt Bold, South Australia RI - -35.055574,138.570457 RI - Happy Valley Reservoir, Happy Valley, South Australia C1 - From 20/12/2011 12:00:00 AM C1 - To 31/12/2016 12:00:00 AM AB - This dataset covers pH, organics concentration (measured as dissolved organic carbon, mg/L) and organics characterization [UV absorbance @ 254 nm (cm-1) and colour @ 456 nm (Hazen unit)] for treated water samples by different alum doses. 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. ER -