Data

Water Research Australia project 1008 (WRA 1008) pH-Conductivity-Chlorine demand

University of South Australia
AsPr Mary Drikas (Principal investigator) Dr Lionel Ho (Enriched by) Mr Kalan Braun (Associated with) Mr Rolando Fabris (Associated with)
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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/11541.1/487249b11b164098aee9c2863de76eda&rft.title=Water Research Australia project 1008 (WRA 1008) pH-Conductivity-Chlorine demand&rft.identifier=http://research.unisa.edu.au/dataset/46023&rft.publisher=University of South Australia&rft.description=This dataset covers pH, Conductivity (uS/cm) and treated water chlorine demands (mg/L Chlorine). The dataset is part of a collection covering the grab sample monitoring data for the 4 treatment systems (S1 Conventional coagulation; S2 Magnetic Ion-exchange (MIEX) and coagulation; S3 MIEX with coagulation plus granular activated carbon filters; and S4 Nanofiltration with microfiltration pre-treatment) and associated pilot distribution system inlets (sp1-sampling point 1) and outlets (sp5-sampling point 5). The data presented is the result of a pilot 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 was created and supplied by SA Water. The dataset is owned by SA Water but has been provided to the University of South Australia for inclusion in UniSA's Water Quality collection.&rft.creator=AsPr Mary Drikas&rft.date=2015&rft.coverage=139.04884,-34.773285&rft_rights=Open Access&rft_rights= https://creativecommons.org/licenses/by/4.0&rft_subject=Urban Water Evaluation (incl. Water Quality)&rft_subject=ENVIRONMENT&rft_subject=ENVIRONMENTAL AND NATURAL RESOURCE EVALUATION&rft_subject=Physical and Chemical Conditions of Water in Fresh, Ground and Surface Water Environments (excl. Urban and Industrial Use)&rft_subject=PHYSICAL AND CHEMICAL CONDITIONS OF WATER&rft_subject=Water Quality Engineering&rft_subject=ENGINEERING&rft_subject=CIVIL ENGINEERING&rft_subject=Water Treatment Processes&rft_subject=CHEMICAL ENGINEERING&rft_subject=Pilot Distribution System&rft_subject=Water Quality&rft_subject=Water Treatment&rft_subject=Water Quality -- Water quality monitoring -- Physical measurements&rft_subject=Water Quality -- Treatments -- Mixed treatments&rft_subject=Water Quality -- Water quality monitoring -- Chemical measurements&rft_subject=Water Quality -- Water quality monitoring -- Microbial measurements&rft_subject=Water Quality -- Water supply system -- Service reservoirs and distribution systems&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

Open Licence view details

Access:

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Contact Information

Mary.Drikas@sawater.com.au

Brief description

This dataset covers pH, Conductivity (uS/cm) and treated water chlorine demands (mg/L Chlorine).

The dataset is part of a collection covering the grab sample monitoring data for the 4 treatment systems (S1 Conventional coagulation; S2 Magnetic Ion-exchange (MIEX) and coagulation; S3 MIEX with coagulation plus granular activated carbon filters; and S4 Nanofiltration with microfiltration pre-treatment) and associated pilot distribution system inlets (sp1-sampling point 1) and outlets (sp5-sampling point 5).

The data presented is the result of a pilot 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 was created and supplied by SA Water. The dataset is owned by SA Water but has been provided to the University of South Australia for inclusion in UniSA's Water Quality collection.

Notes

Details on the methodology for this dataset are included in the dataset content.
Reuse Information

The following instruments/equipment were used to generate or capture the data:
local : DSET_INST_DATA_CAPTURE
WTW 330i pH meter WTW Conductivity meter Standard Methods for Water and Wastewater 4500-Cl

Available: 29 05 2015

Data time period: 20 04 2010 to 30 07 2012

This dataset is part of a larger collection

Click to explore relationships graph

139.04884,-34.77329

139.04884,-34.773285

Identifiers