Reducing water leakage through the development of high resolution soil maps

通过开发高分辨率土壤图减少漏水

• 批准号: 2066265
• 金额: --
• 依托单位: CRANFIELD UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2066265
• 关键词: Reducing; water; leakage; through; development

A vast amount of clean water is lost from the water supply network each year. Aging pipes often fail as a result of soil corrosivity, or the seasonal shrink-swell cycle of clay soils. Soil spatial distribution is complex and existing soil maps1, while useful, do not provide sufficient detail to identify vulnerable water network segments for upgrade. You will address these problem through delivering the three components of this PhD:You will make new, detailed soil hazard maps, predicting soil corrosivity and shrink-swell potential at 50 m resolution.You will develop enhanced pipe failure models which predict where and when pipes will fail on the basis of soil, weather and infrastructure parameters.You will advise Anglian Water on which pipes to upgrade to reduce leakage, energy use and customer interruptions.Through your work developing and using high resolution predictive soil maps and burst models, water companies will be able to better identify, and upgrade, vulnerable parts of their networks. The many resulting benefits from your work will include a reduction in leakage, reduction in energy use and reduction in interruptions to customer supplies.

每年都有大量的清洁水从供水网络中流失。老化的管道往往是由于土壤腐蚀性或粘土的季节性收缩膨胀循环而失效的。土壤的空间分布是复杂的，现有的土壤地图1虽然有用，但没有提供足够的细节来确定脆弱的水网段以进行升级。您将通过提供博士学位的三个组成部分来解决这些问题：您将制作新的，详细的土壤危害图，预测土壤腐蚀性和50米分辨率的收缩膨胀潜力。您将开发增强的管道故障模型，根据土壤，天气和基础设施参数预测管道何时何地会发生故障。你将建议安联水务公司升级哪些管道，以减少泄漏、能源消耗和客户中断。通过您开发和使用高分辨率预测土壤地图和爆裂模型，水务公司将能够更好地识别和升级其网络的脆弱部分。您的工作将带来许多好处，包括减少泄漏，减少能源使用和减少对客户供应的中断。