Does non-stationarity of extreme precipitation exist in the Poyang Lake Basin of China?

被引:29
作者
Lei, Xiangyong [1 ,2 ]
Gao, Lu [1 ,2 ,3 ,4 ]
Ma, Miaomiao [5 ]
Wei, Jianhui [6 ]
Xu, Ligang [7 ]
Wang, Lan [8 ]
Lin, Hui [8 ]
机构
[1] Fujian Normal Univ, Inst Geog, Fuzhou 350007, Peoples R China
[2] Fujian Normal Univ, Coll Geog Sci, Fuzhou 350007, Peoples R China
[3] Fujian Normal Univ, Fujian Prov Engn Res Ctr Monitoring & Accessing T, Fuzhou 350007, Peoples R China
[4] Fujian Normal Univ, State Key Lab Subtrop Mt Ecol, Minist Sci & Technol & Fujian Prov, Fuzhou 350007, Peoples R China
[5] China Inst Water Resources & Hydropower Res, Beijing 100038, Peoples R China
[6] Karlsruhe Inst Technol, Inst Meteorol & Climate Res, D-82439 Garmisch Partenkirchen, Germany
[7] Chinese Acad Sci, Nanjing Inst Geog & Limnol, Key Lab Watershed Geog Sci, Nanjing 210008, Peoples R China
[8] Fujian Key Lab Severe Weather, Fuzhou 350001, Peoples R China
关键词
Non-stationary; Spatio-temporal variation; Extreme precipitation; Poyang Lake Basin; GAMLSS; RIVER FLOW; CLIMATE; REGION; TEMPERATURE; FREQUENCY; IMPACTS; FLOODS; TRENDS;
D O I
10.1016/j.ejrh.2021.100920
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Study region: Poyang Lake Basin, China. Study focus: This study aimed to investigate whether there are non-stationary characteristics of extreme precipitation in the Poyang Lake Basin (PLB) of China, and the trends of non-stationary characteristics from 1959 to 2019. The spatio-temporal variations of extreme precipitation were analysed from three fundamental aspects: duration, frequency, and intensity, based on the prewhitening Mann-Kendall (PWMK) test. Non-stationary variations and the risk of extreme precipitation were investigated based on the generalized additive models for location, scale, and shape (GAMLSS). New hydrological insights for the region: (1) the intensity and frequency of extreme precipitation increased significantly, whereas there was a significant decrease in extreme precipitation duration in the PLB. (2) The duration of extreme precipitation showed significant non-stationary characteristics in the western PLB. At the Nanchang site, 83.3 % of the extreme precipitation intensity indices showed non-stationary characteristics. The RX1day (maximum 1-day precipitation amount) and RX5day (maximum 5-day precipitation amount) increased significantly for different return periods under non-stationary conditions in the northwestern PLB. (3) The risk of extreme precipitation can be captured using the GAMLSS. The stationary method underestimated the extreme precipitation intensity (e.g., RX1day) compared to the GAMLSS for longer return periods in the PLB. More attention should be paid to the increase and fluctuation of the return period of extreme precipitation caused by the mean non-stationarity and variance nonstationarity.
引用
收藏
页数:20
相关论文
共 50 条
[1]   On the use of indices to study extreme precipitation on sub-daily and daily timescales [J].
Alexander, Lisa, V ;
Fowler, Hayley J. ;
Bador, Margot ;
Behrangi, Ali ;
Donat, Markus G. ;
Dunn, Robert ;
Funk, Chris ;
Goldie, James ;
Lewis, Elizabeth ;
Roge, Marine ;
Seneviratne, Sonia, I ;
Venugopal, V. .
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (12)
[2]   Global observed long-term changes in temperature and precipitation extremes: A review of progress and limitations in IPCC assessments and beyond [J].
Alexander, Lisa V. .
WEATHER AND CLIMATE EXTREMES, 2016, 11 :4-16
[3]   Global Observational Evidence of Strong Linkage Between Dew Point Temperature and Precipitation Extremes [J].
Ali, Haider ;
Fowler, Hayley J. ;
Mishra, Vimal .
GEOPHYSICAL RESEARCH LETTERS, 2018, 45 (22) :12320-12330
[4]   Contribution of human influence to increased daily precipitation extremes over China [J].
Chen, Huopo ;
Sun, Jianqi .
GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (05) :2436-2444
[5]   An investigation on the non-stationarity of flood frequency across the UK [J].
Chen, Mengzhu ;
Papadikis, Konstantinos ;
Jun, Changhyun .
JOURNAL OF HYDROLOGY, 2021, 597
[6]   Changes in precipitation extremes on the Black Sea Western Coast [J].
Croitoru, Adina-Eliza ;
Chiotoroiu, Brindusa-Cristina ;
Todorova, Veneta Ivanova ;
Torica, Vasile .
GLOBAL AND PLANETARY CHANGE, 2013, 102 :10-19
[7]   River flooding in a changing climate: rainfall-discharge trends, controlling factors, and susceptibility mapping for the Mahi catchment, Western India [J].
Das, Sumit ;
Scaringi, Gianvito .
NATURAL HAZARDS, 2021, 109 (03) :2439-2459
[8]  
Field CB, 2014, CLIMATE CHANGE 2014: IMPACTS, ADAPTATION, AND VULNERABILITY, PT A: GLOBAL AND SECTORAL ASPECTS, P1
[9]   Contributions of natural climate changes and human activities to the trend of extreme precipitation [J].
Gao, Lu ;
Huang, Jie ;
Chen, Xingwei ;
Chen, Ying ;
Liu, Meibing .
ATMOSPHERIC RESEARCH, 2018, 205 :60-69
[10]  
Gao L, 2017, J HYDROMETEOROL, V18, P669, DOI [10.1175/JHM-D-16-0119.1, 10.1175/jhm-d-16-0119.1]