Provider: UniSA Research Data Access Portal Content:text/plain; charset="utf-8" TY - DATA Y2 - 2024-03-29 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 - Chlorine demand of organics from SA catchment sources UR - https://researchoutputs.unisa.edu.au/11541.1/b1c6dcaaed3c4156ae6a2d97c83c436c 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 - Chlorine bulk decay KW - DOM character KW - Landuse KW - Soil texture 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 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. ER -