Erratum to: &lt;i&gt;Stochastic simulation of ground motions based on NGA-West2 strong motion records&lt;/i&gt;

Tian, P. S.; Sun, Xiaodan; Li, Xin; Wan, Keyu

doi:10.29382/eqs-2020-0159-06

Earthquake Science

2020

DOI: 10.29382/eqs-2020-0159-06

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Erratum to: <i>Stochastic simulation of ground motions based on NGA-West2 strong motion records</i>

P. S. Tian¹,

Xiaodan Sun²,

Xin Li³

et al.

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Establishing resilience-targeted prediction models of rainfall for transportation infrastructures for three demonstration regions in China

Zeng,

Sun,

Xing

et al. 2024

Sci Rep

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Rainstorm is one of the global meteorological disasters that threaten the safety of transportation infrastructure and the connectivity of transportation system. Aiming to support the resilience assessment of transportation infrastructure in three representative regions: Sichuan–Chongqing, Yangtze River Delta, and Beijing-Tianjin-Hebei-Shandong, rainfall data over 40 years in the three regions are collected, and the temporal distribution of rainfall are analyzed. Prediction equations of rainfall are established. For the purpose of this, the probabilistic density function (PDF) is assigned to the rainfall by fitting the frequency distribution histogram. Using the assigned PDF, the rainfall data are transformed into standard normal space where regression of prediction equations is performed and the prediction accuracy is tested. The results show that: (1) The frequency of rainfall in the three regions follows a lognormal distribution based on which the prediction equations of rainfall can be established in standard normal space. The error of regression shows no remarkable dependence on self-variables, and the significance analysis indicates that the equations proposed in this paper are plausible for predicting rainfalls for the three regions. (2) The Yangtze River Delta region has a higher risk of rainstorm disaster compared to the other two regions according to the frequency of rainfall and the return period of precipitation concentration. (3) Over the period of 1980–2021, the Sichuan–Chongqing region witnessed an increase in yearly rainfall but a decrease in rainstorm disasters, whereas the other two regions experienced a consistent rise in both metrics.

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Establishing resilience-targeted prediction models of rainfall for transportation infrastructures for three demonstration regions in China

Zeng,

Sun,

Xing

et al. 2024

Sci Rep

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Erratum to: <i>Stochastic simulation of ground motions based on NGA-West2 strong motion records</i>

Cited by 1 publication

References 0 publications

Establishing resilience-targeted prediction models of rainfall for transportation infrastructures for three demonstration regions in China

Establishing resilience-targeted prediction models of rainfall for transportation infrastructures for three demonstration regions in China

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