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

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
项目状态:
已结题
起止时间:
2018-01-01 至 2020-12-31

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中文摘要
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英文摘要
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.
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