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基于非平稳GEV模型的城市化进程对极端降水事件的影响

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近年来城市极端降水事件频发,极大阻碍了城市发展。为探究城市化与极端降水的关系,以深圳市为例,将城市化指标以4种参数扩展方法纳入广义极值分布(Generalized Extreme Value,GEV)模型中,经2次筛选获得最优模型,获得非平稳降水强度-持续时间-频率(Intensity Duration Frequency,IDF)曲线,对非平稳性进行定量分析。结果表明:①基于城市化指标的非平稳GEV模型性能均优于平稳模型,平稳模型适用性降低;②平稳的IDF曲线低估了所有极端降水事件的降水强度约6。3%,并高估了不及制概率;③城市化对短历时降水的影响显著,对长历时降水的影响相对较小。随着重现期的增加,城市化对降水的影响逐渐增强,每增加1 a重现期,降水强度的影响增加约0。13 mm/h。城市化影响下的非平稳性探究可以为城市应对极端降水事件提供科学依据,对城市防汛抗洪工作具有重要意义。
Impact of Urbanization Process on Extreme Precipitation Events Based on Non-Stationary GEV Model
In recent years,the increase in extreme precipitation events has significantly impeded urban development.To explore the relationship between urbanization and extreme precipitation events,Shenzhen City was investigated in this study.Urbanization indicators were integrated into the generalized extreme value(GEV)distribution model by using four parameter extension methods.After two screenings,the optimal model was obtained,and the non-stationary precipitation intensity-duration-frequency(IDF)curve was obtained.The non-stationarity was quantitatively analyzed.The results show that:① Non-stationary GEV models incorporating urbanization indicators are superior to the stationary models.The applicability of the stationary GEV models is reduced.② The stationary IDF curves underestimate the precipitation intensity of all extreme precipitation events by approximately 6.3%and overestimate the non-exceedance probability.③ Urbanization significantly impacts short-duration precipitation events,with a relatively smaller effect on long-duration precipitation events.As the return period increases,the influence of urbanization on precipitation intensifies;for each additional year of the return period,its impact on precipitation intensity increases by approximately 0.13 mm/h.Exploring non-stationarity under the influence of urbanization can provide a scientific basis for urban responses to extreme precipitation events.This is of great significance for urban flood control.

urbanizationextreme precipitationnon-stationaryGEV modelIDF curves

吴浩然、兰甜、陈永勤、吴延锐、乔田玲、李明林

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长安大学水利与环境学院,陕西 西安 710054

长安大学信息工程学院,陕西 西安 710054

旱区地下水文与生态效应教育部重点实验室(长安大学),陕西 西安 710054

水利部旱区生态水文与水安全重点实验室(长安大学),陕西 西安 710054

香港中文大学(深圳),广东 深圳 518172

山东省水利勘测设计院有限公司,山东 济南 250013

山东省泰安市岱岳区水利局,山东 泰安 271000

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城市化 极端降水 非平稳 GEV模型 IDF曲线

2025

人民珠江
水利部珠江水利委员会

人民珠江

影响因子:0.406
ISSN:1001-9235
年,卷(期):2025.46(1)