Spatial-Temporal Variations of Extreme Precipitation Indices in the Xinjiang Cold Area over the Past 60 Years
Publication: Journal of Hydrologic Engineering
Volume 28, Issue 4
Abstract
The damage of extreme precipitation to the social economy and ecological environment has attracted extensive attention. Daily precipitation data of 59 meteorological stations located in Xinjiang Uygur Autonomous Region were selected, where the temporal and spatial distribution and variation characteristics of extreme precipitation from 1961 to 2017 were comprehensively analyzed by percentile threshold method, precipitation tendency rate method, the trend-free pre-whitening Mann Kendall trend test, Mann Kendall mutation test, and other methods. Further, three methods, the continuous wavelet transform, cross wavelet transform, and wavelet coherence analysis, were selected to analyze the correlation between extreme precipitation index and six atmospheric circulation indexes. Results show that from 1961 to 2017, the precipitation in Xinjiang increased, and the extreme precipitation (R99P), extreme precipitation days (R99D), extreme precipitation contribution rate (R99C), and extreme precipitation intensity (R99I) showed a significantly increasing trend. Due to the influence of topography, the spatial distribution of extreme precipitation is bounded by the Tianshan Mountains, decreasing from northwest to southeast, meeting the characteristics of “Northern Xinjiang is greater than Southern Xinjiang,” indicating obvious spatial heterogeneity. Among the selected atmospheric circulation indexes, Western Pacific Subtropical High Intensity Index (WPSHII) and Western Pacific Subtropical High Intensity Index (SCSSHII) contribute significantly to extreme precipitation events in Xinjiang. There is an obvious positive correlation between SCSSHII and extreme precipitation index. In other words, the greater the SCSSHII, the greater the frequency and frequency of extreme precipitation events in the study area, and the more prone it is to natural disasters such as rainstorms and floods.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This research was funded by the National Key R&D Program of China (2017YFC0406004) and the NSFC (41271004).
References
Akeba, D. T., and D. L. Kassa. 2021. “Statistical modeling of spatial extremes through max-stable process models: Application to extreme rainfall events in South Africa.” J. Hydrol. Eng. 26 (10): 05021028. https://doi.org/10.1061/(ASCE)HE.1943-5584.0002123.
Alexander, L. V., et al. 2006. “Global observed changes in daily climate extremes of temperature and precipitation.” J. Geophys. Res.: Atmos. 111 (D5). https://doi.org/10.1029/2005JD006290.
Changnon, S. A., and R. A. Pielke. 2000. “Human factors explain the increased losses from weather and climate extremes.” Bull. Am. Meteorol. Soc. 81 (3): 437–442. https://doi.org/10.1175/1520-0477(2000)081%3C0437:HFETIL%3E2.3.CO;2.
Dai, S., H. Luo, M. Li, M. Li, H. Li, Q. Zheng, and Y. Hu. 2021. “Extreme precipitation events variations in southern China from 1959 to 2016.” Chin. J. Agric. Resour. Reg. Plann. 43 (3): 128–142. https://doi.org/10.7621/cjarrp.1005-9121.20220314.
Dong, A., and K. Wen. 2005. China meteorological disaster code (Gansu), 220–234. Beijing: Meteorological Publishing House.
Fang, J., J. Du, W. Xu, P. Shi, and F. Kong. 2014. “Advances in the study of climate change impacts on flood disaster.” Adv. Earth Sci. 29 (9): 1085–1093. https://doi.org/10.11867/j.issn.1001-8166.2014.09.1085.
Fengqing, J., Z. Cheng, M. Guijin, and H. Jicai. 2002. “Recent magnification of flood and drought calamities in Xinjiang: An analysis of anthropogenetic effects.” Acta Geogr. Sin. 56 (1): 57–66. https://doi.org/10.3321/j.issn:0375-5.
Grinsted, A., J. C. Moore, and S. Jevrejeva. 2004. “Application of the cross wavelet transform and wavelet coherence to geophysical time series.” Nonlinear Processes Geophys. 11 (5/6): 561–566. https://doi.org/10.5194/npg-11-561-2004.
IPCC (Intergovernmental Panel on Climate Change). 2014. Climate change 2013—The physical science basis. Cambridge, UK: Cambridge University Press.
IPCC (Intergovernmental Panel on Climate Change). 2021. Climate change 2021: The physical science basis. Contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change. Cambridge, UK: Cambridge University Press.
Jianfeng, L., Z. Qiang, and C. Xiaohong. 2011. “Spatial-temporal evolution pattern of probability distribution characteristics of extreme precipitation in Xinjiang autonomous region.” J. Catastrophology 26 (2): 11–17. https://doi.org/10.3969/j.issn.1000-811X.
Jianting, C., J. Xia, X. Chongyu, L. Lu, and W. Zhonggen. 2009. “Comparison and spatial-temporal variability of daily precipitation data of weather stations and rain gauges in Haihe River Basin.” Acta Geogr. Sin. 64 (9): 1083–1092. https://doi.org/10.3321/j.issn:0375-5444.2009.09.006.
Jing, G., J. Lihong, J. Lijun, Y. Xiao, and N. Musiya. 2017. “Analysis of climatic characteristics of extreme precipitation events in Northern Xinjiang.” J. Shaanxi Meteorol. 2017 (3): 23–28. https://doi.org/10.3969/j.issn.1006-4354.2017.03.006.
Li, J., C. Du, S. Du, J. Zhao, and C. C. Xu. 2015. “Temporal-spatial variation and trend prediction of extreme precipitation events in Xinjiang.” Arid Zone Res. 32 (6): 1103–1112. https://doi.org/10.13866/j.azr.2015.06.09.
Lin, Q., Z. Wu, V. P. Singh, S. H. Sadeghi, H. He, and G. Lu. 2017. “Correlation between hydrological drought, climatic factors, reservoir operation, and vegetation cover in the Xijiang Basin, South China.” J. Hydrol. 549 (Jun): 512–524. https://doi.org/10.1016/j.jhydrol.2017.04.020.
Ma, W., G. Liu, Q. Zhou, Q. Chen, F. Liu, and Y. Chen. 2020. “Characteristics of extreme precipitation over the Qinghai-Tibet Plateau from 1961 to 2017.” J. Nat. Resour. 35 (12): 3039–3050. https://doi.org/10.31497/zrzyxb.20201218.
Omondi, P. A., et al. 2014. “Changes in temperature and precipitation extremes over the Greater Horn of Africa region from 1961 to 2010.” Int. J. Climatol. 34 (4): 1262–1277. https://doi.org/10.1002/joc.3763.
Shang, S., L. Lian, T. Ma, and T. Han. 2018. “Spatiotemporal variation of temperature and precipitation in Northwest China in recent 54 years.” Arid Zone Res. 35 (1): 68–76. https://doi.org/10.13866/j.azr.2018.01.09.
She, D., J. Xia, Y. Zhang, and H. Du. 2011. “The trend analysis and statistical distribution of extreme rainfall events in the Huaihe river basin in the past 50 years.” Acta Geogr. Sin. 66 (9): 1200–1210. https://doi.org/10.11821/xb201109005.
Shi, Y., and K. Wen. 2006. China meteorological disaster code (Xinjiang), 88–124. Beijing: Meteorological Publishing House.
Sun, W., and B. Cheng. 2008. “Application of cross wavelet transformation to analysis on regional climate variations.” J. Appl. Meteorol. Sci. 19 (4): 479–487. https://doi.org/10.3969/j.issn.1001-7313.2008.04.012.
Tan, X., T. Y. Gan, and D. Shao. 2016. “Wavelet analysis of precipitation extremes over Canadian ecoregions and teleconnections to large-scale climate anomalies.” J. Geophys. Res.: Atmos. 121 (24): 14–469. https://doi.org/10.1002/2016JD025533.
Wang, B. 2013. Study in extreme events of temperature and precipitation over Xinjiang, Northwest China during 1960-2009. Beijing: Wanfang Data. https://doi.org/10.7666/d.D359539.
Wang, P., Q. Huang, Q. Tang, X. Chen, J. Yu, S. P. Pozdniakov, and T. Wang. 2021. “Increasing annual and extreme precipitation in permafrost-dominated Siberia during 1959–2018.” J. Hydrol. 603 (Dec PA): 126865. https://doi.org/10.1016/j.jhydrol.2021.126865.
Wang, S., Y. Gong, and Z. Chen. 1999. “Serious climatic disasters of China during the past 100 years.” Supplement, J. Appl. Meteorol. Sci. 10 (S1): 44–54. https://doi.org/10.3969/j.issn.1001-7313.1999.z1.006.
Wang, Z., and K. Wen. 2007. China meteorological disaster code (Qinghai), 32–121. Beijing: Meteorological Publishing House.
Wei, F. 2007. Modern climate statistical diagnosis and prediction techniques, 37–39. Beijing: Meteorological Publishing House.
Wilcox, R. 1998. “A note on the Theil-Sen regression estimator when the regressor is random and the error term is heteroscedastic.” Biom. J. 40 (3): 261–268. https://doi.org/10.1002/(SICI)1521-4036(199807)40:3%3C261::AID-BIMJ261%3E3.0.CO;2-V.
Xihui, G., Z. Qiang, and Z. Sheng. 2016. “Spatio-temporal properties of flood/drought hazards and possible causes and impacts in 1961–2010.” Sci. Geogr. Sin. 36 (3): 439–447. https://doi.org/10.13249/j.cnki.sgs.2016.03.016.
Yafeng, S., S. Yongping, and H. Ruji. 2002. “Preliminary study on signal, impact and foreground of climatic shift form warm-dry to warm-humid in Northwest China.” J. Glaciol. Geocryology 24 (3): 219–226. https://doi.org/10.3969/j.issn.1000-0240.2002.03.001.
Yaman, Z., L. Jing, and Z. Yong. 2021. “Study on the relationship between tropical sea surface temperature in spring and extreme summer precipitation in northern Xinjiang.” J. Glaciol. Geocryology 43 (4): 1166–1178. https://doi.org/10.7522/j.issn.1000-0240.2021.0075.
Yang, J., Z. Jiang, P. Wang, and H. C. Jin. 2008a. “Temporal and spatial characteristic of extreme precipitation event in China.” Clim. Environ. Res. (1): 75–83. https://doi.org/10.3878/j.issn.1006-9585.2008.01.10.
Yang, J., Z. Jiang, P. Wang, and X. Zhang. 2008b. “Analysis on inner-annual inhomogeneity characteristic of extreme precipitation events over Northwest China.” J. Desert Res. 28 (1): 178–184. https://doi.org/10.3321/j.issn:1000-3037.2007.04.014.
Yang, L. 2003. “Climate change of extreme precipitation in Xinjiang.” Acta Geogr. Sin. 58 (4): 577–583. https://doi.org/10.3321/j.issn:0375-5444.2003.04.012.
Yang, P., Q. Zhang, P. Shi, X. Gu, and Q. Li. 2017. “Spatiotemporal distribution of precipitation extremes and related implications across the yellow river basin, China.” J. Wuhan Univ. 63 (4): 368–376. https://doi.org/10.14188/j.1671-8836.2017.04.014.
Yue, S., P. Pilon, B. Phinney, and G. Cavadias. 2002. “The influence of autocorrelation on the ability to detect trend in hydrological series.” Hydrol. Processes 16 (9): 1807–1829. https://doi.org/10.1002/hyp.1095.
Zarekarizi, M., A. Rana, and H. Moradkhani. 2018. “Precipitation extremes and their relation to climatic indices in the Pacific Northwest USA.” Clim. Dyn. 50 (11): 4519–4537. https://doi.org/10.1007/s00382-017-3888-2.
Zhai, P., and X. Pan. 2003. “Change in extreme temperature and precipitation over northern China during the second half of the 20th century.” Supplement, Acta Geogr. Sin. 58 (S1): 1–10. https://doi.org/10.3321/j.issn:0375-5444.2003.z1.001.
Zhai, P., C. Wang, and W. Li. 2007. “A review on study of change in precipitation extremes.” Clim. Change Res. 3 (3): 144–148. https://doi.org/10.3969/j.issn.1673-1719.2007.03.004.
Zhao, L., X. Han, and Q. Yang. 2016. “Spatial and temporal variability of the extreme precipitation in the arid region of Northwest China during recent 50 years.” Desert Oasis Meteorol. 10 (1): 19–26. https://doi.org/10.3969/j.issn.1002-0799.2016.01.003.
Zheng, J., Z. Hao, X. Fang, and Q. S. Ge. 2014. “Changing characteristics of extreme climate events during past 2000 years in China.” Prog. Geogr. 33 (1): 3–12. https://doi.org/10.11820/dlkxjz.2014.01.001.
Zhihong, J., D. Yuguo, and C. Weilin. 2007. “Projection of precipitation extremes for the 21st century over China.” Clim. Change Res. 3 (4): 202–207. https://doi.org/10.3969/j.issn.1673-1719.2.
Zou, L., Y. Yu, F. Wang, and Y. Zhang. 2021. “Spatial-temporal variations of extreme precipitation indices and their response to atmospheric circulation factors in the Weihe River Basin.” Arid Zone Res. 38 (3): 764–774. https://doi.org/10.13866/j.azr.2021.03.18.
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Journal of Hydrologic Engineering
Volume 28 • Issue 4 • April 2023
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© 2023 American Society of Civil Engineers.
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Received: Apr 17, 2022
Accepted: Nov 21, 2022
Published online: Jan 23, 2023
Published in print: Apr 1, 2023
Discussion open until: Jun 23, 2023
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