A comprehensive analysis of spatial and temporal variability of extreme precipitation in the Nenjiang River Basin, Northeast China
- 59 Downloads
Better investigation of extreme precipitation in large river basins is important for hydro-meteorological research and water resources management. Based on daily precipitation data from 17 national meteorological stations in Nenjiang River Basin (NRB) during 1959–2011, spatial-temporal characteristics and trends of seven extreme precipitation indices were analyzed in this study using Mann-Kendall non-parametric test and the ensemble empirical mode decomposition (EEMD) method. We found that almost all selected extreme precipitation indices declined in regionally averaged values, except maximum 5-day precipitation amount (Rx5day). Both extreme precipitation indices and their trends demonstrated spatial varieties. Generally, lower basin obtained less extreme precipitation and tended to be drier. But the amount and intensity of extreme precipitation in upper basin, where are more humid, are rising. Extreme precipitation indices presented apparent non-linear process with periodic oscillations of 1.63–1.94a for IMF1 to 25–31a for IMF4. The findings of this study are useful for the management of water resources in NRB, as well as provide reference information for precipitation evolution under climate change in other regions.
The observed daily precipitation records were provided by the Chinese Meteorological Administration (CMA) and are available at http://data.cma.cn/data/cdcdetail/dataCode/SURF_CLI_CHN_MUL_DAY_V3.0.html. The authors are grateful to Jun Zhang for editing the manuscript prior to submission. We also thank the editor, Prof. Dr. Hartmut Graßl, and an anonymous reviewer for their professional comments and constructive suggestions to improve the manuscript.
The authors thankfully acknowledge the financial assistance by the Key Program of Science and Technology Development Plan of Jilin Province (No. 20170520086JH), National Natural Science Foundation of China (No. 41701020), Open Foundation of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (No. 2016490611), China-ROK cooperation project (No. 51711540299), and Natural Science Foundation of Jilin Province (No. 20180101078JC).
- Chen C, Zhang Y, Wang L et al (2013) Research on the change of extreme precipitation in Jiangxi Province based on RClimDex model. China Rural Water and Hydropower 11:41–45 (in Chinese)Google Scholar
- Gao L, Huang J, Chen X et al (2016) Risk of extreme precipitation under nonstationarity conditions during the second flood season in the Southeastern Coastal Region of China. J Hydrometeorol 18(3):669–681Google Scholar
- He Y, Yang TB, Ji Q et al (2015) Glacier variation in response to climate change in Chinese Tianshan Mountains from 1989 to 2012. Journal of Mountain Science 12(5):1189–1202Google Scholar
- Huang D, Qian Y (2009) The analysis method of regional characteristics of extreme temperature and its results. J Nanjiang Univ (Nat Sci) 45(6):715–723 (in Chinese)Google Scholar
- Huang NE, Wu Z (2008) A review on Hilbert-Huang transform: method and its applications to geophysical studies. Rev Geophys 46(2):RG2006Google Scholar
- Kyselý J, Gaál L, Beranová R (2011) Projected changes in flood-generating precipitation extremes over the Czech Republic in high-resolution regional climate models. J Hydrosci Hydraul Eng 59(4):217–227Google Scholar
- Li W (1999) General atmospheric circulation anomaly in 1998 and their impact on climate anomaly in China. Meteorol Mon 25(4):20–25Google Scholar
- Li Z, He Y, Wang P et al (2012) Changes of daily climate extremes in southwestern China during 1961–2008. Glob Planet Chang 80(81):255–272Google Scholar
- Lin L, Li CH, Dai M et al (2007) Optimization of the spatial interpolation for marine phytoplankton abundance. Acta Ecol Sin 27(7):2880–2888 (in Chinese)Google Scholar
- Liu S, Huang S, Huang Q, Xie Y, Leng G, Luan J, Song X, Wei X, Li X (2017) Identification of the non-stationarity of extreme precipitation events and correlations with large-scale ocean-atmospheric circulation patterns: a case study in the Wei River Basin, China. J Hydrol 548:184–195CrossRefGoogle Scholar
- Xiong K, Feng G, Wang Q et al (2009) Spatial-temporal characteristics of record-breaking temperature events over China in recent 46 years. Acta Phys Sin 58(11):8107–8115Google Scholar
- Yang T, Lu G, Li H et al (2011) Advances in the study of projection of climate change impacts on hydrological extremes. Adv Water Sci 22(2):279–286Google Scholar
- Yang P, Xia J, Zhan C et al (2018) Discrete wavelet transform-based investigation into the variability of standardized precipitation index in Northwest China during 1960–2014. Theor Appl Climatol 132(1–2):1–14Google Scholar
- Zhai P, Ren F, Zhang Q (1999) Detection of trends in China’s precipitation extremes. Acta Meteorol Sin 57(2):208–216Google Scholar
- Zhang Q, Zheng Y, Singh VP et al (2017) Summer extreme precipitation in eastern China: mechanisms and impacts. J Geophys Res 122(5):2766–2778Google Scholar
- Zhao A, Zhang A, Liu X et al (2017) Spatiotemporal changes of normalized difference vegetation index (NDVI) and response to climate extremes and ecological restoration in the Loess Plateau, China. Theor Appl Climatol 132(1–2):555–567Google Scholar