Stochastic rainfall generation for design flow estimation

用于设计流量估算的随机降雨生成

• 批准号: DP0664652
• 负责人: Prof Ashish Sharma
• 金额: $ 15.22万
• 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: 2006
• 资助国家: 澳大利亚
• 起止时间: 2006-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0664652
• 关键词: Stochastic; rainfall; generation; design; flow

Floods cause one third of all natural disasters worldwide, more than half the fatalities and one-third the economic loss. Accurate design flood estimation can help alleviate this impact. The estimation procedure currently used assumes that a given rainfall leads to a corresponding design flood, negating the influence variations in pre-existing soil moisture conditions may have. An alternative that overcomes the above limitation is to use stochastically generated rainfall series to simulate flows from which the design flood can be estimated. This study aims to develop a generic framework for stochastic generation of rainfall for design flood estimation in Australia.

洪水造成了全球三分之一的自然灾害、一半以上的死亡人数和三分之一的经济损失。准确的设计洪水估算有助于减轻这种影响。目前使用的估算程序假设给定的降雨量会导致相应的设计洪水，从而消除了预先存在的土壤湿度条件变化可能产生的影响。克服上述限制的另一种方法是使用随机生成的降雨序列来模拟流量，从中可以估计设计洪水。本研究旨在开发一个随机产生降雨的通用框架，用于澳大利亚设计洪水估算。