Biến đổi không gian và thời gian của các cực trị mưa tại Đồng bằng Bắc An Huy, Trung Quốc từ 1976 đến 2018

Springer Science and Business Media LLC - Tập 105 - Trang 2777-2797 - 2020
Mingcheng Du1,2, Jianyun Zhang1,2,3,4, Qinli Yang5, Zhenlong Wang6,7, Zhenxin Bao2,3,4, Yanli Liu2,3,4, Junliang Jin2,3,4, Cuishan Liu2,3,4, Guoqing Wang2,3,4
1School of Civil Engineering, Tianjin University, Tianjin, China
2State Key Laboratory of Hydrology-Water resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, China
3Yangtze Institute for Conservation and Development, Nanjing, China
4Research Center for Climate Change, Nanjing, China
5University of Electronic Science and Technology of China, Chengdu, China
6Wudaogou Experimental Station for Hydrology and Water Resources, Bengbu, China
7Huai River Commission, Anhui Hydraulic Research Institute, Bengbu, China

Tóm tắt

Đồng bằng Bắc An Huy (NAHPP), một đồng bằng quan trọng trong sản xuất lương thực của Trung Quốc, thường xuyên phải đối mặt với hạn hán và lũ lụt. Để hiểu rõ hơn về các sự kiện cực đoan và giảm thiểu tác động của chúng, bài báo này khám phá sự biến đổi không gian và thời gian của các cực trị lượng mưa tại NAHPP trong giai đoạn 1976 đến 2018. Xu hướng biến đổi và phân bố không gian của lượng mưa tối đa hàng năm trong vòng 1 ngày, 3 ngày, 7 ngày và 15 ngày đã được phân tích, và phân bố xác suất của các cực trị lượng mưa tại NAHPP được tính toán bằng ba hàm phân phối (Gumbel, P-III, và giá trị cực trị tổng quát). Hàm điều chỉnh tối ưu được lựa chọn dựa trên kiểm tra Kolmogorov–Smirnov, và lượng mưa theo các chu kỳ quay vòng khác nhau đã được tính toán theo hàm điều chỉnh tối ưu. Kết quả chỉ ra rằng các cực trị mưa cho thấy chu kỳ 2 đến 3 năm về mặt liên độ và chu kỳ 21 năm về mặt thời gian trong NAHPP. Các cực trị lượng mưa cho thấy xu hướng tăng không đáng kể trên toàn NAHPP và một số trạm không cho thấy xu hướng giảm đáng kể. Hàm phân phối P-III phù hợp nhất với các cực trị lượng mưa (lượng mưa tối đa trong 1 ngày: 59%). Các phân bố không gian của các cực trị lượng mưa tương tự nhau trong các chu kỳ quay vòng khác nhau. Khi chu kỳ quay vòng tăng lên, lượng mưa ước tính bởi ba hàm phân phối lớn hơn một chút so với lượng mưa trong chu kỳ quay vòng thực nghiệm. Các phát hiện này sẽ có lợi cho quản lý tài nguyên nước vùng và kiểm soát rủi ro liên quan đến nước.

Từ khóa

#Biến đổi khí hậu; cực trị mưa; quản lý tài nguyên nước; Đồng bằng Bắc An Huy; phân tích thống kê

Tài liệu tham khảo

Amiri MA, Mesgari MS (2016) Spatial variability analysis of precipitation in northwest Iran. Arab J Geosci. https://doi.org/10.1007/s12517-016-2611-7 Bougadis J, Adamowski K (2006) Scaling model of a rainfall intensity-duration-frequency relationship. Hydrol Process 20(17):3747–3757 Boukhelifa M, Meddi M, Gaume E (2018) Integrated bayesian estimation of intensity-duration frequency curves: consolidation and extensive testing of a method. Water Resour Res 54(10):7459–7477 Chen BL, Zhu YH, Wang CY, Lu HS (2018) Spatiotemporal variation of precipitation and evapotranspiration in Huaibei plain. J Irrig Drain 37(6):109–116 (in Chinese with English abstract) Chaudhuri RR, Sharma P (2020) Addressing uncertainty in extreme rainfall intensity for semi-arid urban regions: case study of Delhi. Nat Hazards, India. https://doi.org/10.1007/s11069-020-04273-5 Coronado-Hernández ÓE, Merlano-Sabalza E, Díaz-Vergara Z, Coronado-Hernández JR (2020) Selection of hydrological probability distributions for extreme rainfall events in the regions of Colombia. Water. https://doi.org/10.3390/w12051397 Cunnane C (1978) Unbiased plotting positions-a review. J Hydrol 37(3–4):205–222 Diffenbaugh NS, Singh D, Mankin JS, Horton DE, Swain DL, Touma D, Charland A, Liu YJ, Haugen M, Tsiang M (2017) Quantifying the influence of global warming on unprecedented extreme climate events. Proc Natl Acad Sci USA 114:4881–4886 Dinpashoh Y, Jahanbakhsh-Asl S, Rasouli AA, Foroughi M, Singh VP (2019) Impact of climate change on potential evapotranspiration (case study: west and NW of Iran). Theor Appl Climatol 136(1–2):185–201 Du H, Xia J, Zeng SD, She DX, Liu JJ (2014) Variations and statistical probability characteristic analysis of extreme precipitation events under climate change in Haihe River Basin China. Hydrol Process 28(3):913–925 Duan WL, He B, Takara K, Luo PP, Nover D, Yamashiki Y, Huang WR (2014) Anomalous atmospheric events leading to Kyushu’s flash floods, July 11–14. Nat Hazards 73(3):1255–1267 Fan J, Sun WC, Zhao Y, Xue BL, Zuo DP, Xu ZX (2018) Trend analyses of extreme precipitation events in the Yarlung Zangbo River Basin. Sustainability, China Using a High-Resolution Precipitation Product. https://doi.org/10.3390/su10051396 Fischer T, Su B, Luo Y, Scholten T (2012) Probability distribution of precipitation extremes for weather index–based insurance in the Zhujiang River Basin South China. J Hydrometeorol 13(3):1023–1037 Guhathakurta P, Sreejith OP, Menon PA (2011) Impact of climate change on extreme rainfall events and flood risk in India. J Earth Syst Sci 120(3):359–373 Ge J, You QL, Zhang YQ (2019) Effect of Tibetan Plateau heating on summer extreme precipitation in eastern China. Atmos Res 218:364–371 Hanson LS, Vogel R (2008) The Probability Distribution of Daily Rainfall in the United States. World Environmental and Water Resources Congress, Honolulu Hosseinzadehtalaei P, Tabari H, Willems P (2019) Regionalization of anthropogenically forced changes in 3 hourly extreme precipitation over Europe. Environ Res Lett. https://doi.org/10.1088/1748-9326/ab5638 Hosseinzadehtalaei P, Tabari H, Willems P (2020) Climate change impact on short-duration extreme precipitation and intensity–duration–frequency curves over Europe. J Hydrol. https://doi.org/10.1016/j.jhydrol.2020.125249 Huang NE, Wu ZH, Pinzón JE, Parkinson CL, Long SR, Blank K, Gloersen P, Chen XY (2009) Reductions of noise and uncertainty in annual global surface temperature anomaly data. Adv Adapt Data Anal 1(3):447–460 IPCC, Climate Change (2013) The Physical Science Basis[M]. Cambridge University Press, Cambridge, p 2013 Jin SY, Gao YJ, Xu JH (2019) Impact of series length and maximum processing on estimation of rainfall return period. J China Hydrol 39(5):25–29 (in Chinese with English abstract) Jin XX, Sun Y, Li C, Yang TY (2014) Precipitation and the features of atmospheric circulation in the Huaihe River Basin in recent 50 years. Resour Environ Yangtze Basin 23(5):609–616 (in Chinese with English abstract) Jung I, Bae D, Kim G (2011) Recent trends of mean and extreme precipitation in Korea. Int J Climatol 31(3):359–370 Jung YH, Shin JY, Ahn HJ, Heo JH (2017) The Spatial and temporal structure of extreme rainfall trends in South Korea. Water. https://doi.org/10.3390/w9100809 Khudri MM, Sadia F (2013) Determination of the best fit probability distribution for annual extreme precipitation in Bangladesh. Eur J Sci Res 103:391–404 McAfee SA, Guentchev G, Eischeid JK (2013) Reconciling precipitation trends in Alaska: 1. Station-based analyses. J Geophys Res Atmos 118(14):7523–7541 Merabti A, Martins DS, Meddi M, Pereira LS (2018) Spatial and time variability of drought based on SPI and RDI with various time scales. Water Resour Manag 32(3):1087–1100 Min S, Zhang X, Zwiers FW, Hegerl GC (2011) Human contribution to more-intense precipitation extremes. Nature 470:378–381 Mo CX, Ruan YL, He JQ, Jin JL, Liu P, Sun GK (2019) Frequency analysis of precipitation extremes under climate change. Int J Climatol 39(3):1373–1387 Ntegeka V, Willems P (2008) Trends and multidecadal oscillations in rainfall extremes, based on a more than 100-year time series of 10 min rainfall intensities at Uccle Belg. Water Resour Res 44(7):19–33 Olsson J, Berg P, Kawamura A (2015) Impact of RCM spatial resolution on the reproduction of local, subdaily precipitation. J Hydrometeorol 16(2):534–547 Panthou G, Vischel T, Lebel T (2014) Recent trends in the regime of extreme rainfall in the Central Sahel. Int J Climatol 34(15):3998–4006 Papalexiou SM, Koutsoyiannis D (2013) Battle of extreme value distributions: a global survey on extreme daily rainfall. Water Resour Res 49(1):187–201 Park J, Kang H, Lee YS, Kim M (2011) Changes in the extreme daily rainfall in South Korea. Int J Climatol 31(15):2290–2299 Qian LX, Wang HR, Dang SZ, Wang C, Jiao ZQ, Zhao Y (2018) Modelling bivariate extreme precipitation distribution for data-scarce regions using Gumbel-Hougaard copula with maximum entropy estimation. Hydrol Process 32(2):212–227 Rahman AS, Rahman A, Zaman MA, Haddad K, Ahsan A, Imteaz M (2013) A study on selection of probability distributions for at-site flood frequency analysis in Australia. Nat Hazards 69(3):1803–1813 Sarhadi A, Soulis ED (2017) Time-varying extreme rainfall intensity-duration-frequency curves in a changing climate. Geophys Res Lett 44(5):2454–2463 Samuel BS, Agog NS, Peter M, Abdullateef M, Kwaghdoo AG (2020) Modeling extreme rainfall in Kaduna using the generalised extreme value distribution. Sci World J 15(3):73–77 Shu ZK, Liu J, Dong XH, Yu D (2017) Distribution of staged extreme rainfalls in flood season based on fuzzy set analysis. J Hydroelectr Eng 36(7):55–64 (in Chinese with English abstract) Soltani M, Laux P, Kunstmann H, Stan K, Sohrabi MM, Molanejad M, Sabziparvar AA, Ranjbar Saadatabadi A, Ranjbar F, Rousta I (2016) Assessment of climate variations in temperature and precipitation extreme events over Iran. Theor Appl Climatol 126(3):775–795 Song XM, Zhang JY, Kong FZ (2018) Probability distribution of extreme precipitation in Beijing based on extreme value theory. Scientia Sinica Technologica 48(6):639–650 (in Chinese with English abstract) Tong RZ, Sun WC, Han Q, Yu JS, Tian ZF (2020) Spatial and temporal variations in extreme precipitation and temperature events in the Beijing–Tianjin–Hebei region of China over the past six decades. Sustainability. https://doi.org/10.3390/su12041415 Valenzuela RULA, Garreaud RED (2019) Extreme daily rainfall in central-southern Chile and its relationship with low-level horizontal water vapor fluxes. J Hydrometeorol 20(9):1829–1850 Wang F, Tian H (2010) Characteristics of extreme precipitation events in Huaihe River Basin in 1960–2007. Clim Change Res 6(3):228–229 (in Chinese with English abstract) Wang Y, Cheng C, Xie Y, Liu B, Yin S, Liu Y, Hao Y (2017) Increasing trends in rainfall-runoff erosivity in the source region of the Three Rivers, 1961–2012. Sci Total Environ 592:639–648 Wang Y, Zhang Q, Zhang S, Chen XH (2016) Spatial and temporal characteristics of precipitation in the Huaihe River Basin and its response to ENSO events. Scientia Geographica Sinica 36(1):128–134 (in Chinese with English abstract) Wang W, Chen X, Shi P, Van Gelder PHAJ, Corzo G (2008) Extreme precipitation and extreme streamflow in the Dongjiang River Basin in southern China. Hydrol Earth Syst Sci 12:207–221 Wang YZ, Ye NJ (2008) Drainage of farmland in Huaibei Plain of Anhui Province. China Rural Water Hydropower 2:5–7 (in Chinese with English abstract) Wei FY, Zhang T (2010) Oscillation characteristics of summer precipitation in the Huaihe River valley and relevant climate background. Sci China Earth Sci 53(2):301–316 Westra S, Alexander LV, Zwiers FW (2013) Global increasing trends in annual maximum daily precipitation. J Clim 26(11):3904–3918 Wu CG, Lin DS, Xiao WF, Wang PC, Ma H, Zhou ZX (2011) Spatiotemporal distribution characteristics of rainfall erosivity in three Gorges Reservoir Area. Chin J Appl Ecol 22(1):151–158 (in Chinese with English abstract) Wu HC, Yang QL, Liu JM, Wang GQ (2020) A spatiotemporal deep fusion model for merging satellite and gauge precipitation in China. J Hydrol. https://doi.org/10.1016/j.jhydrol.2020.124664 Wu ZH, Huang NE (2009) Ensemble empirical mode decomposition: A noise-assisted data analysis method. Adv Adapt Data Anal 1(1):1–41 Wu X, Guo S, Yin J, Yang G, Zhong Y, Liu D (2018) On the event-based extreme precipitation across China: time distribution patterns, trends, and return levels. J Hydrol 562:305–317 Xia J, She D, Zhang Y, Du H (2012) Spatio-temporal trend and statistical distribution of extreme precipitation events in Huaihe River Basin during 1960–2009. J Geogr Sci 22(2):195–208 Yang CG, Yu ZB, Hao ZC, Zhang JY, Zhu JT (2012) Impact of climate change on flood and drought events in Huaihe River Basin. China Hydrol Res 43(1–2):14–22 Ye ZW, Li ZH (2017) Spatiotemporal variability and trends of extreme precipitation in the Huaihe River Basin, a climatic transitional zone in East China. Adv Meteorol. https://doi.org/10.1155/2017/3197435 Yang M, Chen X, Cheng CS (2016) Hydrological impacts of precipitation extremes in the Huaihe River Basin. SpringerPlus, China. https://doi.org/10.1186/s40064-016-3429-1 Yin J, Yan DH, Yang ZY, Yuan Z, Yuan Y, Zhang C (2016) Projection of extreme precipitation in the context of climate change in Huang-Huai-Hai region. China J Earth Syst Sci 125(2):417–429 Yang T, Shao QX, Hao ZC, Chen X, Zhang ZX, Xu CY, Sun LM (2010) Regional frequency analysis and spatio-temporal pattern characterization of rainfall extremes in the Pearl River Basin. China J Hydrol 380(3–4):386–405 Zhang ZT, Gao C, Liu Q, Zhai JQ, Wang YJ, Su BD, Tian H (2014) Risk assessment on storm flood disasters of different return periods in Huaihe River basin. Geogr Res-Aust 33(7):1361–1372 (in Chinese with English abstract)