Impact of urbanization on nonstationarity of annual and seasonal precipitation extremes in China

被引:60
作者
Gu, Xihui [1 ,5 ]
Zhang, Qiang [2 ,3 ,4 ]
Li, Jianfeng [5 ]
Singh, Vijay P. [6 ,7 ]
Sun, Peng [8 ]
机构
[1] China Univ Geosci, Sch Environm Studies, Dept Atmospher Sci, Wuhan 430074, Hubei, Peoples R China
[2] Beijing Normal Univ, Key Lab Environm Change & Nat Disaster, Minist Educ, Beijing 100875, Peoples R China
[3] Beijing Normal Univ, Acad Disaster Reduct & Emergency Management, Fac Geog Sci, Beijing 100875, Peoples R China
[4] Beijing Normal Univ, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
[5] Hong Kong Baptist Univ, Dept Geog, Hong Kong, Peoples R China
[6] Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX USA
[7] Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX USA
[8] Anhui Normal Univ, Coll Terr Resources & Tourism, Wuhu 241000, Anhui, Peoples R China
基金
国家重点研发计划; 美国国家科学基金会; 中国国家自然科学基金;
关键词
Urbanization; Precipitation extremes; Long-term changes; Nonstationarity; GAMLSS; China; FLOOD FREQUENCY-ANALYSIS; CLIMATE-CHANGE; RIVER-BASIN; SPATIOTEMPORAL CHARACTERISTICS; HEAVY PRECIPITATION; CHANGING PROPERTIES; ARID REGION; RAINFALL; TEMPERATURE; PATTERNS;
D O I
10.1016/j.jhydrol.2019.05.070
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Chinese cities have been experiencing unprecedented growth for over three decades and the resulting urbanization is having a remarkable impact on the hydrological cycle at the local and regional scale. This study therefore examined the influence of urbanization on nonstationarity of annual and seasonal precipitation extremes in China, using daily precipitation data from 1857 stations for 1961-2014, and NCAR/NCEP and ERA Interim reanalysis datasets. Results of trend, change point, and bootstrap analyses revealed that urban signatures on long-term changes (i.e. trends and magnitudes) of precipitation extremes were not prominently visible at the national scale. However, a nonstationary frequency analysis of precipitation extremes by a Generalized Additive Model for Location, Scale and Shape (GAMLSS) framework with a cluster of 66 models showed that urbanization caused nonstationarity in precipitation extremes at local and regional scales, such as North China. Further, significant nonstationarity tended to occur more in urbanizing areas than in rural and urbanized areas, suggesting that land use/land cover (LULC) transition (i.e. rural areas turning into urban areas) played an important role in introducing nonstationarity. Furthermore, analysis of large-scale circulation patterns, using k-mean clustering, showed that urban signatures on extremes were not prominent at the national scale but at the regional scale. Further studies are needed to enumerate physical mechanisms causing the impact of local environmental changes on precipitation extremes at different geographical locations over China.
引用
收藏
页码:638 / 655
页数:18
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