Current approaches to design flood-sensitive infrastructure typically assume a stationary rainfall distribution and neglect many uncertainties. These assumptions are inconsistent with observations that suggest intensifying extreme precipitation events and the uncertainties surrounding projections of the coupled natural-human systems. Here we show that assuming climate stationarity and neglecting deep uncertainties can drastically underestimate flood risks and lead to poor infrastructure design choices. We find that climate uncertainty dominates the socioeconomic and engineering uncertainties that impact the hydraulic reliability in stormwater drainage systems. We quantify the upfront costs needed to achieve higher hydraulic reliability and robustness against the deep uncertainties surrounding projections of rainfall, surface runoff characteristics, and infrastructure lifetime. Depending on the location, we find that adding safety factors of 1.4 to 1.7 to the standard stormwater pipe design guidance produces robust performance to the considered deep uncertainties.
翻译:目前设计防洪基础设施的方法通常假定降雨量分布不固定,忽视许多不确定因素。这些假设与表明极端降水事件加剧以及自然-人类系统相结合的预测的不确定性的意见不一致。我们在这里表明,假设气候不稳和忽视深刻的不确定性,可能大大低估洪水风险,导致基础设施设计选择不善。我们发现,气候不确定性主导着影响暴雨排水系统水力可靠性的社会经济和工程不确定性。我们量化了实现更高的水力可靠性和稳健性以抵御降雨预测、地表径流特点和基础设施寿命期的深刻不确定性所需的前期成本。我们发现,根据地点,标准暴雨管设计指南增加1.4至1.7的安全系数,可以产生对深层不确定性的有力表现。