Temporal and spatial characteristics of extreme precipitation events in the Midwest of Jilin Province based on multifractal detrended fluctuation analysis method and copula functions

Based on the daily precipitation data in Northeast China (NE China) from 1961 to 2010, six extreme precipitation indices (RX1day, Rx5day, R10mm, R20mm, R95T, and R99T) in NE China were calculated, and the temporal and spatial characteristics of extreme precipitation events were analyzed. The main results are summarized as follows: Except R99T, other extreme precipitation indicators all show the decreasing trend. All indicators are not significant. From the spatial distribution of extreme precipitation indicators, extreme precipitation indicators have different change situations in various regions, and the decreasing trends are dominant. This shows that the climate has become dry in NE China. It is important to forecast and reduce the climate induced flood risks and provide information for rational countermeasures.

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Assessing the characteristics of extreme precipitation over northeast China using the multifractal detrended fluctuation analysis

Journal of Geophysical Research Atmospheres ◽

10.1002/jgrd.50487 ◽

2013 ◽

Vol 118 (12) ◽

pp. 6165-6174 ◽

Cited By ~ 25

Author(s):

Haibo Du ◽

Zhengfang Wu ◽

Shengwei Zong ◽

Xiangjun Meng ◽

Lei Wang

Keyword(s):

Extreme Precipitation ◽

Northeast China ◽

Detrended Fluctuation Analysis ◽

Fluctuation Analysis ◽

Multifractal Detrended Fluctuation Analysis ◽

Detrended Fluctuation

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MULTIFRACTAL STRUCTURE OF PSEUDORAPIDITY AND AZIMUTHAL DISTRIBUTIONS OF THE SHOWER PARTICLES IN Au + Au COLLISIONS AT 200 A GeV

International Journal of Modern Physics A ◽

10.1142/s0217751x0803992x ◽

2008 ◽

Vol 23 (18) ◽

pp. 2809-2816 ◽

Cited By ~ 22

Author(s):

Y. X. ZHANG ◽

W. Y. QIAN ◽

C. B. YANG

Keyword(s):

Long Range ◽

Detrended Fluctuation Analysis ◽

Correlation Property ◽

Fluctuation Analysis ◽

Analysis Method ◽

Multifractal Detrended Fluctuation Analysis ◽

Range Correlation ◽

Detrended Fluctuation

This paper analyzes the long-range correlation property and the corresponding multifractal structure of the distribution of shower particles in central Au + Au collisions at 200 A GeV by using the Multifractal Detrended Fluctuation Analysis method. The result shows that the pseudorapidity and azimuthal distributions of shower particles are multifractals in those collisions.

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Quantitative Agricultural Flood Risk Assessment Using Vulnerability Surface and Copula Functions

Water ◽

10.3390/w10091229 ◽

2018 ◽

Vol 10 (9) ◽

pp. 1229 ◽

Cited By ~ 2

Author(s):

Yongfang Wang ◽

Guixiang Liu ◽

Enliang Guo ◽

Xiangjun Yun

Keyword(s):

Flood Risk ◽

Extreme Precipitation ◽

Joint Distribution ◽

Disaster Risk ◽

Flood Disaster ◽

Surface Model ◽

Copula Functions ◽

Extreme Precipitation Events ◽

Flood Disasters ◽

Precipitation Events

Agricultural flood disaster risk assessment plays a vital role in agricultural flood disaster risk management. Extreme precipitation events are the main causes of flood disasters in the Midwest Jilin province (MJP). Therefore, it is important to analyse the characteristics of extreme precipitation events and assess the flood risk. In this study, the Multifractal Detrended Fluctuation Analysis (MF-DFA) method was used to determine the threshold of extreme precipitation events. The total duration of extreme precipitation and the total extreme precipitation were selected as flood indicators. The copula functions were then used to determine the joint distribution to calculate the bivariate joint return period, which is the flood hazard. Historical data and flood indicators were used to build an agricultural flood disaster vulnerability surface model. Finally, the risk curve for agricultural flood disasters was established to assess the flood risk in the MJP. The results show that the proposed approaches precisely describe the joint distribution of the flood indicators. The results of the vulnerability surface model are in accordance with the spatiotemporal distribution pattern of the agricultural flood disaster loss in this area. The agricultural flood risk of the MJP gradually decreases from east to west. The results provide a firm scientific basis for flood control and drainage plans in the area.

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