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  "agreement": "true",
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  "agreement": "true",
            
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  "alternative_identifier": "DOI: 10.1016/j.ejrh.2024.101879",
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  "alternative_identifier": "DOI: 10.1016/j.ejrh.2024.101879",
            
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  "author": null,
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  "author": null,
            
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  "author_email": null,
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  "author_email": null,
            
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  "authors": [
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  "authors": [
            
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    {
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    {
            
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      "author_department": "Department of Plant and Soil Sciences",
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      "author_department": "Department of Plant and Soil Sciences",
            
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      "author_email": " meiringd@gmail.com",
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      "author_email": " meiringd@gmail.com",
            
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      "author_name": "Meiring",
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      "author_name": "Meiring",
            
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      "author_organization": "University of Pretoria",
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      "author_organization": "University of Pretoria",
            
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      "author_surname": "du Plessis",
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      "author_surname": "du Plessis",
            
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      "contact_same_as_author": "true"
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      "contact_same_as_author": "true"
            
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    },
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    },
            
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    {
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    {
            
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      "author_department": "Department of Plant and Soil Sciences",
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      "author_department": "Department of Plant and Soil Sciences",
            
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      "author_email": "john.annandale@up.ac.za",
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      "author_email": "john.annandale@up.ac.za",
            
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      "author_name": "John",
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      "author_name": "John",
            
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      "author_organization": "University of Pretoria",
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      "author_organization": "University of Pretoria",
            
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      "author_surname": "Annandale"
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      "author_surname": "Annandale"
            
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    },
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    },
            
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    {
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    {
            
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      "author_department": "",
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      "author_department": "",
            
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      "author_email": "nico.nbsystems@gmail.com",
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      "author_email": "nico.nbsystems@gmail.com",
            
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      "author_name": "Nico",
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      "author_name": "Nico",
            
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      "author_organization": "NBSystems",
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      "author_organization": "NBSystems",
            
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      "author_surname": "Benade"
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      "author_surname": "Benade"
            
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    }
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    }
            
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  ],
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  ],
            
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  "citation_title": "DU PLESSIS M, ANNANDALE J, BENADE N, VAN DER LAAN 
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  "citation_title": "DU PLESSIS M, ANNANDALE J, BENADE N, VAN DER LAAN 
            
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M, JOOSTE S, DU PREEZ C, BARNARD J, RODDA N, DABROWSKI J, GENTHE B and 
31
M, JOOSTE S, DU PREEZ C, BARNARD J, RODDA N, DABROWSKI J, GENTHE B and 
            
32
NELL P (2017) Risk Based, Site-Specific, Irrigation Water Quality 
32
NELL P (2017) Risk Based, Site-Specific, Irrigation Water Quality 
            
33
Guidelines: Volume 1 Description of Decision Support System. WRC 
33
Guidelines: Volume 1 Description of Decision Support System. WRC 
            
34
Report No. TT 727/17. Water Research Commission, Pretoria.",
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Report No. TT 727/17. Water Research Commission, Pretoria.",
            
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  "contact_person": [
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  "contact_person": [
            
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    {
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    {
            
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      "contact_department": "Department of Plant and Soil Sciences",
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      "contact_department": "Department of Plant and Soil Sciences",
            
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      "contact_email": " meiringd@gmail.com",
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      "contact_email": " meiringd@gmail.com",
            
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      "contact_name": "Meiring",
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      "contact_name": "Meiring",
            
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      "contact_orgnization": "University of Pretoria"
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      "contact_orgnization": "University of Pretoria"
            
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  "creator_user_id": "bc28a33f-dc21-4795-a57f-da7cd1aa23ea",
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  "creator_user_id": "bc28a33f-dc21-4795-a57f-da7cd1aa23ea",
            
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  "data_classification": "both",
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  "data_classification": "both",
            
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  "data_collection_organization": "Agricultural Research Council",
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  "data_collection_organization": "Agricultural Research Council",
            
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  "data_reference_date": [
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  "data_reference_date": [
            
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    {
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    {
            
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      "data_reference_date_from": "2017-01-01",
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      "data_reference_date_from": "2017-01-01",
            
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      "data_reference_date_to": "2017-01-01"
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      "data_reference_date_to": "2017-01-01"
            
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    }
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    }
            
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  ],
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  ],
            
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  "data_structure_category": "structured",
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  "data_structure_category": "structured",
            
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  "dataset_language": "English",
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  "dataset_language": "English",
            
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  "dataset_license_url": 
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  "dataset_license_url": 
            
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"https://creativecommons.org/licenses/by-sa/4.0/",
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"https://creativecommons.org/licenses/by-sa/4.0/",
            
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  "did_author_or_contact_organization_collect_the_data": "true",
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  "did_author_or_contact_organization_collect_the_data": "true",
            
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  "email": "vanderLaanM@arc.agric.za",
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  "email": "vanderLaanM@arc.agric.za",
            
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  "groups": [],
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  "groups": [],
            
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  "id": "902cc56d-5103-43ec-8454-e7c765ccb167",
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  "id": "902cc56d-5103-43ec-8454-e7c765ccb167",
            
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  "isopen": false,
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  "isopen": false,
            
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  "keywords": "irrigation water quality, decision support system, 
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  "keywords": "irrigation water quality, decision support system, 
            
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risk-based guidelines, site-specific guidelines, fitness-for-use, 
62
risk-based guidelines, site-specific guidelines, fitness-for-use, 
            
63
water quality requirements, South Africa, Soil Water Balance (SWB) 
63
water quality requirements, South Africa, Soil Water Balance (SWB) 
            
64
model, irrigation management, salinity, sodicity, microbial 
64
model, irrigation management, salinity, sodicity, microbial 
            
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contamination",
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contamination",
            
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  "license": "Open (Creative Commons)",
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  "license": "Open (Creative Commons)",
            
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  "license_id": null,
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  "license_id": null,
            
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  "license_title": null,
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  "license_title": null,
            
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  "maintainer": null,
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  "maintainer": null,
            
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  "maintainer_email": null,
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  "maintainer_email": null,
            
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  "metadata_created": "2026-02-20T06:57:25.340772",
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  "metadata_created": "2026-02-20T06:57:25.340772",
            
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  "metadata_modified": "2026-02-20T06:58:45.916118",
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  "metadata_modified": "2026-02-20T06:58:46.260902",
            
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  "minimum_maximum_extent": [
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  "minimum_maximum_extent": [
            
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    {
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    {
            
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      "maximum_vertical_extent": "3451",
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      "maximum_vertical_extent": "3451",
            
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      "minimum_vertical_extent": "0"
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      "minimum_vertical_extent": "0"
            
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    }
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    }
            
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  ],
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  ],
            
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  "name": 
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  "name": 
            
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based-site-specific-irrigation-water-quality-decision-support-system",
80
based-site-specific-irrigation-water-quality-decision-support-system",
            
81
  "notes": "This software-based decision support system (DSS) that 
81
  "notes": "This software-based decision support system (DSS) that 
            
82
provides generic and site-specific, risk-based irrigation water 
82
provides generic and site-specific, risk-based irrigation water 
            
83
quality guidelines for South Africa. The work had been initiated 
83
quality guidelines for South Africa. The work had been initiated 
            
84
through the Water Research Commission (WRC) and co-funded by the 
84
through the Water Research Commission (WRC) and co-funded by the 
            
85
Department of Agriculture, Forestry and Fisheries (DAFF). The DSS had 
85
Department of Agriculture, Forestry and Fisheries (DAFF). The DSS had 
            
86
been designed to support two main applications: (i) assessing the 
86
been designed to support two main applications: (i) assessing the 
            
87
fitness-for-use of irrigation water of known composition, and (ii) 
87
fitness-for-use of irrigation water of known composition, and (ii) 
            
88
determining water quality requirements for irrigation users. It had 
88
determining water quality requirements for irrigation users. It had 
            
89
operated using a three-tier framework, where Tier 1 produced 
89
operated using a three-tier framework, where Tier 1 produced 
            
90
conservative guideline assessments with minimal user input, Tier 2 
90
conservative guideline assessments with minimal user input, Tier 2 
            
91
enabled more detailed site-specific analyses using selectable 
91
enabled more detailed site-specific analyses using selectable 
            
92
variables (e.g., crop, soil texture, climate station and irrigation 
92
variables (e.g., crop, soil texture, climate station and irrigation 
            
93
management), and Tier 3 had been reserved for specialised ad hoc 
93
management), and Tier 3 had been reserved for specialised ad hoc 
            
94
investigations.\r\n\r\nThe project had progressed through phased 
94
investigations.\r\n\r\nThe project had progressed through phased 
            
95
deliverables that included an inception workshop, a literature review, 
95
deliverables that included an inception workshop, a literature review, 
            
96
a \u201ctechnology demonstrator\u201d, stakeholder engagement 
96
a \u201ctechnology demonstrator\u201d, stakeholder engagement 
            
97
sessions, development of a fully functional draft DSS, expert 
97
sessions, development of a fully functional draft DSS, expert 
            
98
testing/evaluation, and final reporting. The DSS had integrated 
98
testing/evaluation, and final reporting. The DSS had integrated 
            
99
calculation engines and databases and had used open-source development 
99
calculation engines and databases and had used open-source development 
            
100
tools (Lazarus for software development and Firebird as the relational 
100
tools (Lazarus for software development and Firebird as the relational 
            
101
database). For Tier 2 site-specific modelling, a simplified version of 
101
database). For Tier 2 site-specific modelling, a simplified version of 
            
102
the Soil Water Balance (SWB) model had been used to simulate 
102
the Soil Water Balance (SWB) model had been used to simulate 
            
103
soil\u2013crop\u2013climate interactions over multi-year climatic 
103
soil\u2013crop\u2013climate interactions over multi-year climatic 
            
104
records. Outputs had been presented via printable PDF screens grouped 
104
records. Outputs had been presented via printable PDF screens grouped 
            
105
by agricultural production components (soil quality, crop 
105
by agricultural production components (soil quality, crop 
            
106
yield/quality, and irrigation equipment), using a four-category 
106
yield/quality, and irrigation equipment), using a four-category 
            
107
fitness-for-use classification (Ideal, Acceptable, Tolerable, 
107
fitness-for-use classification (Ideal, Acceptable, Tolerable, 
            
108
Unacceptable).",
108
Unacceptable).",
            
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  "num_resources": 1,
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    "approval_status": "approved",
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    "created": "2026-02-19T10:16:04.079269",
            
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    "description": "The University of Pretoria (UP) is one of 
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    "description": "The University of Pretoria (UP) is one of 
            
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Africa\u2019s top universities and the largest contact university in 
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Africa\u2019s top universities and the largest contact university in 
            
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South Africa. We produce socially impactful research to find solutions 
116
South Africa. We produce socially impactful research to find solutions 
            
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for the world\u2019s most pressing issues. We have a high quality of 
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for the world\u2019s most pressing issues. We have a high quality of 
            
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teaching and learning in the classroom, online, or in communities. We 
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teaching and learning in the classroom, online, or in communities. We 
            
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have support in place for our students to graduate on time as 
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have support in place for our students to graduate on time as 
            
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well-rounded, responsible citizens fully prepared for the world beyond 
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well-rounded, responsible citizens fully prepared for the world beyond 
            
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university.",
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university.",
            
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    "image_url": "2026-02-19-101604.068497UPlogo.jpg",
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    "is_organization": true,
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    "is_organization": true,
            
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    "name": "university-of-pretoria",
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    "name": "university-of-pretoria",
            
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    "state": "active",
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    "state": "active",
            
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    "title": "University of Pretoria",
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    "title": "University of Pretoria",
            
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  "private": false,
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  "private": false,
            
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  "publication_date": "2017-07-01",
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  "publication_date": "2017-07-01",
            
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  "publisher": "Water Research Commission",
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  "publisher": "Water Research Commission",
            
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      "created": "2026-02-20T06:58:45.940840",
            
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      "dataset_description": "Link to download the DSS",
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      "dataset_description": "Link to download the DSS",
            
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      "is_data_supplementary": "False",
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      "metadata_modified": "2026-02-20T06:58:45.924620",
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      "mimetype_inner": null,
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      "name": "https://www.wateradmin.co.za/irrigwq.html",
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      "name": "https://www.wateradmin.co.za/irrigwq.html",
            
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      "package_id": "902cc56d-5103-43ec-8454-e7c765ccb167",
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      "position": 0,
            
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      "resource_name": "IrrigWQ DSS",
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      "resource_name": "IrrigWQ DSS",
            
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      "size": null,
            
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  "spatial": "{\"type\": \"Polygon\", \"coordinates\": [[[16.4699, 
            
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  "state": "draft",
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  "state": "active",
            
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  "tags": [],
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  "tags": [],
            
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  "title": "Risk Based, Site-Specific, Irrigation Water Quality 
168
  "title": "Risk Based, Site-Specific, Irrigation Water Quality 
            
166
Decision Support System",
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Decision Support System",
            
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  "type": "dataset",
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  "type": "dataset",
            
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  "uploader_estimation_of_extent_of_processing": "access",
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  "uploader_estimation_of_extent_of_processing": "access",
            
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  "url": null,
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  "version": null,
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  "version": null,
            
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  "vertical_extent_datum": "masl",
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  "vertical_extent_datum": "masl",
            
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  "wrc_project_number": "K5/2399",
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  "wrc_project_number": "K5/2399",
            
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  "wro_theme": "agriculture"
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  "wro_theme": "agriculture"
            
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}
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}