A Fourier approach to address low-frequency variability bias in hydrology

解决水文学低频变异偏差的傅里叶方法

• 批准号: DP180102737
• 负责人: Prof Ashish Sharma
• 金额: $ 22.91万
• 依托单位: The University of New South Wales
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP180102737
• 关键词: Fourier; approach; address; low; frequency

This project aims to develop a mathematical framework to better simulate the occurrence of sustained anomalies, such as droughts and long periods of flooding, into the future. These events increase water insecurity and result in loss of revenue, livelihoods and lives. Hydrological planning requires knowledge of how such sustained extremes will change in the future. Current alternatives for simulating such changes for future climates are inadequate for catchment-scale planning to proceed. The project proposes a strategy for post-processing hydrological simulations of the future using an elegant frequency-domain approach. It expects to provide the tools needed to develop hydrologic infrastructure, such as water supply reservoirs, that secure our water resources for the generations to come.

该项目旨在开发一个数学框架，以更好地模拟未来持续异常现象的发生，例如干旱和长期洪水。这些事件加剧了水不安全状况，导致收入、生计和生命损失。水文规划需要了解这种持续的极端情况未来将如何变化。目前模拟未来气候变化的替代方案不足以进行流域规模的规划。该项目提出了一种使用优雅的频域方法对未来水文模拟进行后处理的策略。它期望提供开发水文基础设施（例如供水水库）所需的工具，以确保我们子孙后代的水资源。