Sustainable Expansion of Irrigated Agriculture and Horticulture in Northern Adelaide Corridor ED-17-01

北阿德莱德走廊灌溉农业和园艺的可持续发展 ED-17-01

• 批准号: Local : research.unisa.edu.au/project/273876
• 负责人: Dr Joanne Vanderzalm
• 金额: --
• 依托单位国家: 澳大利亚
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://researchdata.edu.au/sustainable-expansion-irrigated-17-01/1432238
• 关键词: Sustainable; Expansion; Irrigated; Agriculture; Horticulture

Unlocking the full potential of South Australia's resources, energy and renewable assets has become an economic priority for the South Australian Government. Expansion of horticulture along the Northern Adelaide Corridor is viewed by governments and agencies as having potential to achieve significant economic development for the state of South Australia. Sustainability and expansion of horticultural and agricultural practices in the Northern Adelaide Corridor (including the Northern Adelaide Plains, NAP) is strongly influenced by the sustainability of existing water supplies and water qualities of these and potential new water resources. <br /> <br /> This project (Project ED.17.01) was funded through the Goyder Institute for Water Research. The project was structured into five distinct tasks, as follows: <br /> <br /> Development and optimisation of modelling domain and impact assessment of irrigation expansion on the receiving environment <br /> <br /> Modelling nutrient and chemical fate, including salinity/sodicity risk, as the basis for identifying longevity of recycled water utilization and mitigation strategies under current and future climate <br /> <br /> Source water options / water availability, quality, treatment and storage considerations <br /> <br /> Assessment of Depth to Groundwater (Proof of Concept) and <br /> <br /> Integration of the four previous tasks into a consolidated report and suggested guideline development. <br /> <br /> The Task 3 dataset and derived sub-models integrated into a Microsoft Excel operational model called 'Irrigation water quality and quantity for covered crops model' (or 'IW-QC2') were acquired through field sample collections, climate modelling, historic and predicted rainfall data, available water quality data accessed from various sources such as government agencies, water corporation, industry and associations, and through a landholder survey. The key aim of Task 3, was to develop an improved understanding of the qualities and quantities of established and potential new water resources (with blending and/or treatment) for the NAP and further north to the Light River, horticultural practices, and provide data needed for the other project tasks. Consideration of water supply options were based on seasonal availability, fit-for-purpose water quality for various crop types and practice needs, through blending of existing and potential (including through treatment processes) new water resources (such as groundwaters of various salinities and rainwater harvesting). The IW-QC2 model was developed to enable ready determination and or prediction of water resource availability, water quality and treatment needs based on selected crop types, climate prediction modelling and current horticulture practices. The model, in Excel forms a platform on which crop types can be expanded as well as inclusion and application of alternative climate prediction models.

充分释放南澳大利亚资源、能源和可再生资产的潜力已成为南澳大利亚政府的经济优先事项。政府和机构认为，北阿德莱德走廊沿线的园艺扩张有可能为南澳大利亚州实现重大经济发展。北阿德莱德走廊（包括北阿德莱德平原，NAP）园艺和农业实践的可持续性和扩展受到现有供水和水质以及潜在新水资源的可持续性的强烈影响。 <br/> <br/> 该项目（项目 ED.17.01）由戈德水研究所资助。该项目分为五个不同的任务，如下：<br /> <br/> 灌溉扩建模型域开发与优化及受纳环境影响评估<br /> <br/> 对营养物和化学成分（包括盐度/钠度风险）进行建模，作为确定当前和未来气候下循环水利用寿命和缓解策略的基础<br /> <br/> 水源选择/水的可用性、质量、处理和储存考虑因素<br /> <br/> 地下水深度评估（概念验证）和<br /> <br/> 将之前的四项任务整合到综合报告中并提出指南制定建议。 <br/> <br/> 任务 3 数据集和派生子模型集成到 Microsoft Excel 操作模型中，称为“覆盖作物灌溉水质和水量模型”（或“IW-QC2”），是通过现场样本收集、气候建模、历史和预测降雨量获得的数据，从政府机构、水务公司、行业和协会等各种来源以及通过土地所有者调查获得的可用水质数据。任务 3 的主要目标是更好地了解国家行动计划和莱特河以北地区已建立的和潜在的新水资源（通过混合和/或处理）的质量和数量、园艺实践，并提供数据其他项目任务所需的。供水方案的考虑基于季节性可用性、适合各种作物类型的水质和实践需求，通过混合现有和潜在（包括通过处理过程）新水资源（例如各种盐度的地下水和雨水）收获）。 IW-QC2 模型的开发是为了根据选定的作物类型、气候预测模型和当前的园艺实践，随时确定和/或预测水资源的可用性、水质和处理需求。该模型以 Excel 形式构成了一个平台，可以在该平台上扩展农作物类型以及替代气候预测模型的包含和应用。