Dataset extent

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Risk Based, Site-Specific, Irrigation Water Quality Decision Support System

This software-based decision support system (DSS) that provides generic and site-specific, risk-based irrigation water quality guidelines for South Africa. The work had been initiated through the Water Research Commission (WRC) and co-funded by the Department of Agriculture, Forestry and Fisheries (DAFF). The DSS had been designed to support two main applications: (i) assessing the fitness-for-use of irrigation water of known composition, and (ii) determining water quality requirements for irrigation users. It had operated using a three-tier framework, where Tier 1 produced conservative guideline assessments with minimal user input, Tier 2 enabled more detailed site-specific analyses using selectable variables (e.g., crop, soil texture, climate station and irrigation management), and Tier 3 had been reserved for specialised ad hoc investigations.

The project had progressed through phased deliverables that included an inception workshop, a literature review, a “technology demonstrator”, stakeholder engagement sessions, development of a fully functional draft DSS, expert testing/evaluation, and final reporting. The DSS had integrated calculation engines and databases and had used open-source development tools (Lazarus for software development and Firebird as the relational database). For Tier 2 site-specific modelling, a simplified version of the Soil Water Balance (SWB) model had been used to simulate soil–crop–climate interactions over multi-year climatic records. Outputs had been presented via printable PDF screens grouped by agricultural production components (soil quality, crop yield/quality, and irrigation equipment), using a four-category fitness-for-use classification (Ideal, Acceptable, Tolerable, Unacceptable).

Data and Resources

Additional Info

Field Value
Email vanderLaanM@arc.agric.za
Authors
Author 1
Author first name
Meiring
Author surname
du Plessis
Email
meiringd@gmail.com
Author organization
University of Pretoria
Department
Department of Plant and Soil Sciences
Is this author a contact person for the dataset?
true
Author 2
Author first name
John
Author surname
Annandale
Email
john.annandale@up.ac.za
Author organization
University of Pretoria
Department
Department of Plant and Soil Sciences
Is this author a contact person for the dataset?
Author 3
Author first name
Nico
Author surname
Benade
Email
nico.nbsystems@gmail.com
Author organization
NBSystems
Department
Is this author a contact person for the dataset?
Contact person
Contact 1
Contact name
Meiring
Email
meiringd@gmail.com
Contact organization
University of Pretoria
Department
Department of Plant and Soil Sciences
Recommended citation DU PLESSIS M, ANNANDALE J, BENADE N, VAN DER LAAN M, JOOSTE S, DU PREEZ C, BARNARD J, RODDA N, DABROWSKI J, GENTHE B and NELL P (2017) Risk Based, Site-Specific, Irrigation Water Quality Guidelines: Volume 1 Description of Decision Support System. WRC Report No. TT 727/17. Water Research Commission, Pretoria.
Did the author / contact organization collect the data? true
Name of organization that collected the data Agricultural Research Council
Dataset language English
Publisher Water Research Commission
Publication date 2017-07-01
Project number K5/2399
License Open (Creative commons)
License URL https://creativecommons.org/licenses/by-sa/4.0/
Keywords irrigation water quality, decision support system, risk-based guidelines, site-specific guidelines, fitness-for-use, water quality requirements, South Africa, Soil Water Balance (SWB) model, irrigation management, salinity, sodicity, microbial contamination
Geographic location or bounding box coordinates [-22.1265, 16.4699, -34.8212, 32.8931]
Topic category Agriculture
Data structure category Structured (clearly labelled and in a standardised format)
Uploader estimation of extent to which data have been processed Access
Is the data time series or static Both
Data reference date
Data reference date 1
Data reference date (from)
2017-01-01
Data reference date (to)
2017-01-01
Alternate identifier DOI: 10.1016/j.ejrh.2024.101879
Vertical extent datum masl
Vertical minimum-maximum extent
Vertical minimum-maximum extent 1
Minimum vertical extent
0
Maximum vertical extent
3451
I agree to the data management plan and terms and conditions of the WRO true