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Effect of urbanisation on extreme precipitation based on nonstationary models in the Yangtze River Delta metropolitan region

机译:基于非平稳模型的长江三角洲城市化对极端降水的影响

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摘要

Urban expansion has led to a significant increase in the proportion of areas with impervious surfaces, thereby affecting the weather system and changing local precipitation. Four nonstationary generalised extreme value (GEV) models were constructed to assess the impact of urbanisation on the annual maximum 1-day precipitation (Rx1day) and annual maximum consecutive 5-day precipitation (Rx5day). Among these models, the one that modelled the location parameter as a function of local factors, urban factors, suburban factors, and Pacific Decadal Oscillation (namely, the M4USP model), exhibited a better performance at fitting the Rx1day and Rx5day than the stationary GEV model for urban and rural stations, as well as for highly urbanised suburban stations. Comparing the M4USP model with a nonstationary model varying with Pacific Decadal Oscillation (namely, the M1P model), it is found that the urban expansion could increase the magnitudes of extreme precipitation and its recurrence levels under different return periods. Specifically, the recurrence levels of Rx1day and Rx5day increased by 25.9% and 59.1% for highly urbanised stations, 34.2% and 36.9% for lowly urbanised stations, and 30.7% and 61.5% for rural stations, respectively. The decision makers should strike a balance between urbanisation and extreme precipitation to adapt to a changing environment. (C) 2019 Elsevier B.V. All rights reserved.
机译:城市扩张导致表面不透水的区域比例显着增加,从而影响了天气系统并改变了当地的降水。构建了四个非平稳广义极值(GEV)模型,以评估城市化对年度最大1天最大降水(Rx1天)和年度最大连续5天最大降水(Rx5天)的影响。在这些模型中,将位置参数建模为局部因素,城市因素,郊区因素和太平洋年代际振荡的函数的模型(即M4USP模型)在拟合Rx1day和Rx5day方面表现出比固定GEV更好的性能。城市和农村站点以及高度城市化的郊区站点的模型。将M4USP模型与随太平洋年代际振荡变化的非平稳模型(即M1P模型)进行比较,发现城市扩张可以增加极端降水量及其在不同返回期的复发水平。具体来说,高度城市化站点的Rx1day和Rx5day的复发水平分别增加了25.9%和59.1%,低城市化站点的34.2%和36.9%,农村站点的分别为30.7%和61.5%。决策者应在城市化与极端降雨之间取得平衡,以适应不断变化的环境。 (C)2019 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《The Science of the Total Environment》 |2019年第10期|64-73|共10页
  • 作者单位

    Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Inst Environm Sci, Minist Environm Project Peoples Republ China, Nanjing 210000, Jiangsu, Peoples R China;

    Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China;

    Nanjing Univ, Sch Geog & Oceanog Sci, Nanjing 210023, Jiangsu, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Urbanisation; Extreme precipitation; Nonstationary models; Generalised extreme value;

    机译:城市化;极端降水;非平稳模型;广义极值;

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