Full description
These datasets are 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. These datasets are provided by the University of South Australia (UniSA). All data in these datasets were collected as part of the Australian Research Council project, ARC Linkage-LP110200208.Data time period: 20 12 2011 to 31 12 2016
Subjects
030500 |
Chemical Engineering |
Civil Engineering |
Catchment management |
Decision Support and Group Support Systems |
Decision support system |
Disinfection by-products |
Engineering |
Environment |
Environmental Science and Management |
Environmental Sciences |
Environmentally Sustainable Information and Communication Services |
Environmentally Sustainable Information and Communication Services Not Elsewhere Classified |
Health |
Information and Communication Services |
Information and Computing Sciences |
Information Systems |
Land and Water Management |
Land and Water Management of Environments Not Elsewhere Classified |
Landuse |
Natural Resource Management |
Organic treatability |
Public Health (Excl. Specific Population Health) |
Public Health (Excl. Specific Population Health) Not Elsewhere Classified |
Water Quality -- Catchments (including groundwater systems) -- Water quality monitoring |
Water Quality -- Source Water -- Surface waters |
Water Quality -- Surface waters -- Treatments |
Water Quality -- Water quality monitoring -- Chemical measurements |
Water Quality Engineering |
Water Treatment Processes |
Water quality |
User Contributed Tags
Login to tag this record with meaningful keywords to make it easier to discover
Identifiers
- Local : research.unisa.edu.au/collection/272421