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TY  - DATA
Y2  - 2024-11-24
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  - Organic Chemistry (FOR-08)
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  - 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  -