Copulas-based risk analysis for inter-seasonal combinations of wet and dry conditions under a changing climate

被引:89
作者
Fang, Wei [1 ]
Huang, Shengzhi [1 ]
Huang, Guohe [2 ]
Huang, Qiang [1 ]
Wang, Hao [3 ]
Wang, Lu [1 ]
Zhang, Ying [1 ]
Li, Pei [1 ]
Ma, Lan [1 ]
机构
[1] Xian Univ Technol, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Shaanxi, Peoples R China
[2] Univ Regina, Inst Energy Environm & Sustainable Communities, Regina, SK, Canada
[3] China Inst Water Resources & Hydropower Res, State Key Lab Simulat & Regulat Water Cycle River, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
climate change; copula-based framework; dryness-wetness combination; dynamic risk; joint return period; YANGTZE-RIVER BASIN; LOWER REACHES; ABRUPT ALTERNATION; FREQUENCY-ANALYSIS; DROUGHT FREQUENCY; WAVELET ANALYSIS; FLOOD LOSSES; NORTH CHINA; PRECIPITATION; PREDICTION;
D O I
10.1002/joc.5929
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Abrupt transitions between droughts and floods present greater challenges to water resource management than independent drought or flood events. It is therefore of significant importance to further include drought-flood transitions in the risk analysis of water-related hazards under a changing climate. This study more generally evaluates the risks of combinations of dry and wet conditions between adjacent seasons. First, dry and wet conditions are monitored by the standardized precipitation index (SPI). Then, a copula-based framework is proposed for the deviation of joint return periods of dryness-wetness combinations at different severity levels. In addition, SPI series trend detection is conducted using the Mann-Kendall test to analyse the temporal-spatial changes in dry and wet conditions. Wavelet analysis is applied to investigating correlations of dry and wet conditions with climate variability signals, which may provide predictive signals for dryness-wetness combinations. The results of a case study in the Pearl River basin (PRB), China over the period of 1960-2015 indicate that (a) the flood season (from July to October) tends towards dryness and there are wetting trends in the late autumn and winter; (b) as the joint return period is considered the proxy for the risk of dryness-wetness combination, shorter joint return periods remind a higher risk of suffering from abrupt dryness-wetness transitions in the spring-summer and summer-autumn, as well as the more frequent occurrence of continued dryness/wetness in the autumn-winter and winter-spring; (c) the western and eastern PRB are separately characterized by intensified and reduced risks of the most frequent combinations under a changing climate; and (d) El Nino-Southern Oscillation events, the Pacific Decadal Oscillation and sunspot activities have a close association with dry and wet conditions in the PRB. The study provides a supplement for the current risk map and may benefit the early warning and mitigation of water-related hazards.
引用
收藏
页码:2005 / 2021
页数:17
相关论文
共 94 条
[1]   Global observed changes in daily climate extremes of temperature and precipitation [J].
Alexander, LV ;
Zhang, X ;
Peterson, TC ;
Caesar, J ;
Gleason, B ;
Tank, AMGK ;
Haylock, M ;
Collins, D ;
Trewin, B ;
Rahimzadeh, F ;
Tagipour, A ;
Kumar, KR ;
Revadekar, J ;
Griffiths, G ;
Vincent, L ;
Stephenson, DB ;
Burn, J ;
Aguilar, E ;
Brunet, M ;
Taylor, M ;
New, M ;
Zhai, P ;
Rusticucci, M ;
Vazquez-Aguirre, JL .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2006, 111 (D5)
[2]   Possible association between Indian monsoon rainfall and solar activity [J].
Bhattacharyya, S ;
Narasimha, R .
GEOPHYSICAL RESEARCH LETTERS, 2005, 32 (05) :1-5
[3]   Wavelet analysis of ecological time series [J].
Cazelles, Bernard ;
Chavez, Mario ;
Berteaux, Dominique ;
Menard, Frederic ;
Vik, Jon Olav ;
Jenouvrier, Stephanie ;
Stenseth, Nils C. .
OECOLOGIA, 2008, 156 (02) :287-304
[4]   Flood Coincidence Risk Analysis Using Multivariate Copula Functions [J].
Chen, Lu ;
Singh, Vijay P. ;
Guo Shenglian ;
Hao, Zenchao ;
Li, Tianyuan .
JOURNAL OF HYDROLOGIC ENGINEERING, 2012, 17 (06) :742-755
[5]   Precipitation variability (1956-2002) in the Dongjiang River (Zhujiang River basin, China) and associated large-scale circulation [J].
Chen, Yongqin David ;
Zhang, Qiang ;
Lu, Xixi ;
Zhang, Shurong ;
Zhang, Zengxin .
QUATERNARY INTERNATIONAL, 2011, 244 (02) :130-137
[6]   High-resolution projections of 21st century climate over the Athabasca River Basin through an integrated evaluation-classification-downscaling-based climate projection framework [J].
Cheng, Guanhui ;
Huang, Guohe ;
Dong, Cong ;
Zhu, Jinxin ;
Zhou, Xiong ;
Yao, Y. .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2017, 122 (05) :2595-2615
[7]   Climate change and changes in global precipitation patterns: What do we know? [J].
Dore, MHI .
ENVIRONMENT INTERNATIONAL, 2005, 31 (08) :1167-1181
[8]   ks: Kernel density estimation and kernel discriminant analysis for multivariate data in R [J].
Duong, Tarn .
JOURNAL OF STATISTICAL SOFTWARE, 2007, 21 (07) :1-16
[9]   Development of a copula-based particle filter (CopPF) approach for hydrologic data assimilation under consideration of parameter interdependence [J].
Fan, Y. R. ;
Huang, G. H. ;
Baetz, B. W. ;
Li, Y. P. ;
Huang, K. .
WATER RESOURCES RESEARCH, 2017, 53 (06) :4850-4875
[10]   Bivariate hydrologic risk analysis based on a coupled entropy-copula method for the Xiangxi River in the Three Gorges Reservoir area, China [J].
Fan, Y. R. ;
Huang, W. W. ;
Huang, G. H. ;
Huang, K. ;
Li, Y. P. ;
Kong, X. M. .
THEORETICAL AND APPLIED CLIMATOLOGY, 2016, 125 (1-2) :381-397