dc.contributor.author |
Du Plessis, H.M.
|
|
dc.contributor.author |
Annandale, J.G. (John George), 1959-
|
|
dc.contributor.author |
Benad, Nico
|
|
dc.date.accessioned |
2024-03-08T09:35:59Z |
|
dc.date.available |
2024-03-08T09:35:59Z |
|
dc.date.issued |
2023-11-23 |
|
dc.description |
DATA AVAILABILITY STATEMENT : IrrigWQ was developed using the open-source Lazarus Platform (http:
//www.lazarus-ide.org, accessed on 6 September 2023), with Firebird (https://firebirdsql.org/en/
firebird-4-0-1/, accessed on 6 September 2023) used as the database. The algorithms used in the calculation
procedures were based on published data, as cited in this paper. There are no measured data
linked to this paper—only scenario simulations. The software described in this paper is downloadable
free of charge from https://nbsystems.co.za, accessed on
6 September 2023. |
en_US |
dc.description.abstract |
Irrigators are increasingly challenged to maintain or even increase production using less
water, sometimes of poorer quality, and often from unconventional sources. This paper describes
the main features of a newly developed software-based Decision Support System (DSS), with which
the fitness for use (FFU) of water for irrigation (IrrigWQ) can be assessed. The assessment considers
site-specific factors, several non-traditional water constituents, and the risk of negative effects. The
water balance components of a cropping system and the redistribution of solutes within a soil
profile are assessed with a simplified soil water balance and chemistry model. User-friendly, colourcoded
output highlights the expected effects of water constituents on soil quality, crop yield and
quality, and irrigation infrastructure. Because IrrigWQ uses mainly internationally accepted cause–
effect relationships to assess the effect of water quality constituents, it is expected to find universal
acceptance and application among users. IrrigWQ also caters for calculating so-called Water Quality
Requirements (WQRs). WQRs indicate the threshold levels of water quality constituents for irrigation
at specified levels of acceptability or risk. WQRs assist water resource managers in setting site-specific
maximum threshold levels of water quality constituents that can be tolerated in a water source before
impacting negatively on successful irrigation. |
en_US |
dc.description.department |
Plant Production and Soil Science |
en_US |
dc.description.librarian |
am2024 |
en_US |
dc.description.sdg |
SDG-02:Zero Hunger |
en_US |
dc.description.sdg |
SDG-06:Clean water and sanitation |
en_US |
dc.description.sponsorship |
The South African Water Research Commission and the South African Department of Agriculture, Forestry, and Fisheries. |
en_US |
dc.description.uri |
https://www.mdpi.com/journal/applsci |
en_US |
dc.identifier.citation |
du Plessis, H.M.; Annandale, J.G.; Benadé, N. A Decision Support System That
Considers Risk and Site Specificity in the Assessment of Irrigation Water
Quality (IrrigWQ). Applied Sciences 2023, 13, 12625. https://DOI.org/10.3390/app132312625. |
en_US |
dc.identifier.issn |
2076-3417 |
|
dc.identifier.other |
10.3390/app132312625 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/95116 |
|
dc.language.iso |
en |
en_US |
dc.publisher |
MDPI |
en_US |
dc.rights |
© 2023 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) licenSE. |
en_US |
dc.subject |
Soil quality |
en_US |
dc.subject |
Crop yield |
en_US |
dc.subject |
Crop quality |
en_US |
dc.subject |
Decision support system (DSS) |
en_US |
dc.subject |
Fitness for use (FFU) |
en_US |
dc.subject |
Irrigation water quality (IrrigWQ) |
en_US |
dc.subject |
SDG-02: Zero hunger |
en_US |
dc.subject |
SDG-06: Clean water and sanitation |
en_US |
dc.title |
A decision support system that considers risk and site specificity in the assessment of irrigation water quality (IrrigWQ) |
en_US |
dc.type |
Article |
en_US |