干旱区研究

Arid Zone Research >

2022 , Vol. 39 >Issue 3: 723 - 733

DOI: https://doi.org/10.13866/j.azr.2022.03.06

Analysis of multi-scalar characteristics of dry and wet conditions in the Yellow River Basin based on SPEI

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  • College of Earth and Environmental Sciences/Key Laboratory of Western China’s Environmental Systems Ministry of Education, Lanzhou University, Lanzhou 730000, Gansu, China

Received date: 2021-08-03

  Revised date: 2021-11-03

  Online published: 2022-05-30

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Abstract

Based on daily data from 70 meteorological stations in the Yellow River Basin from 1960 to 2020, the Standardized Precipitation Evapotranspiration Index (SPEI) based on precipitation and potential evapotranspiration was calculated. Then, the evolution and persistence characteristics of dry-wet change of the Yellow River Basin from 1960 to 2020 were studied and their influence on meteorological factors was analyzed. Results showed the following: (1) There were differences in dry and wet grades and frequencies among the SPEI at different time scales and dry and wet levels were dominated by normal and light conditions. There was an insignificant wetness trend in summer and an insignificant dryness trend annually, and during spring, autumn, and winter from 1960 to 2020 in the Yellow River Basin. Geographically, the summer climate was mainly wet and 64.29% of meteorological stations showed an increased SPEI. The annual, spring, autumn, and winter climate in the Yellow River Basin was mainly dry and 51.43%, 62.86%, 64.29%, and 51.43% of meteorological stations showed a decrease SPEI, respectively. (2) For the different time scales of dry and wet events, 1970-1979 was a partial dry period, whereas 1960-1969 was a partial wet period, and the frequency of dry and wet events was as follows: autumn > summer > spring > winter. (3) From persistent characteristics of dry and wet events, the intensity of ongoing drought events increased and occurred mainly in autumn and winter, whereas the intensity of persistent wet events increased and occurred mainly in autumn. (4) A decreasing trend in the SPEI from 1960 to 2020 was mainly due to combined effects of a decrease of precipitation, average wind speed and relative humidity.

Key words： Standardized Precipitation Evapotranspiration Index; dry and wet change; persistence; Yellow River Basin

Cite this article

GAO Bingli,GONG Jie,LI Yan,JIN Tiantian . Analysis of multi-scalar characteristics of dry and wet conditions in the Yellow River Basin based on SPEI[J]. Arid Zone Research, 2022 , 39(3) : 723 -733 . DOI: 10.13866/j.azr.2022.03.06

References

[1] 孙颖. 人类活动对气候系统的影响-解读IPCC第六次评估报告第一工作组报告第三章[J]. 大气科学学报, 2021, 44(5): 654-657.
[1] [ Sun Ying. Impact of humanactivities on climate system: An interpretation of Chapter Ⅲ of WG Ⅰ report of IPCC AR6[J]. Transactions of Atmospheric Sciences, 2021, 44(5): 654-657. ]
[2] Masson-Delmotte V, Zhai P, Pirani A, et al. Climate Change 2021: The Physical Science Basis[R]. Cambridge:Cambridge University Press, 2021.
[3] 胡琦, 董蓓, 潘学标, 等. 1961-2014年中国干湿气候时空变化特征及成因分析[J]. 农业工程学报, 2017, 33(6): 124-132.
[3] [ Hu Qi, Dong Bei, Pan Xuebiao, et al. Spatiotemporal variation and causes analysis of dry-wet climate over period of 1961-2014 in China[J]. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(6): 124-132. ]
[4] 齐贵增, 白红英, 赵婷, 等. 秦岭陕西段南北坡植被对干湿变化响应敏感性及空间差异[J]. 地理学报, 2021, 76(1): 44-56.
[4] [ Qi Guizeng, Bai Hongying, Zhao Ting, et al. Sensitivity and areal differentiation of vegetation responses to hydrothermal dynamics on the southern and northern slopes of the Qinling Mountains in Shaanxi Province[J]. Acta Geographica Sinica, 2021, 76(1): 44-56. ]
[5] Wu Z T, Yu L, Du Z Q, et al. Recent changes in the drought of China from 1960 to 2014[J]. International Journal of Climatology, 2020, 40(7): 3281-3296.
[6] 王东, 张勃, 安美玲, 等. 基于SPEI的西南地区近53 a干旱时空特征分析[J]. 自然资源学报, 2014, 29(6): 1003-1016.
[6] [ Wang Dong, Zhang Bo, An Meiling, et al. Temporal and spatial distributions of drought in Southwest China over the past 53 years based on Standardized Precipitation Evapotranspiration Index[J]. Journal of Natural Resources, 2014, 29(6): 1003-1016. ]
[7] 马彬, 张勃, 周丹, 等. 基于标准化降水蒸散指数的中国东部季风区干旱特征分析[J]. 自然资源学报, 2016, 31(7): 1185-1197.
[7] [ Ma Bin, Zhang Bo, Zhou Dan, et al. Analysis of drought characteristics of the East China monsoon area based on Standardized Precipitation Evapotranspiration Index[J]. Journal of Natural Resources, 2016, 31(7): 1185-1197. ]
[8] 赵林, 于家烁, 薄岩, 等. 基于SPEI的湖北省近52年干旱时空格局变化[J]. 长江流域资源与环境, 2015, 24(7): 1230-1237.
[8] [ Zhao Lin, Yu Jiashuo, Bo Yan, et al. Temporal and spatial distribution of drought in Hubei Province during 1961-2012 based on SPEI[J]. Resources and Environment in the Yangtze Basin, 2015, 24(7): 1230-1237. ]
[9] 胡娜娜, 延军平, 李双双, 等. 气候暖干化背景下黄土高原旱涝时空演变特征[J]. 干旱区研究, 2013, 30(4): 705-711.
[9] [ Hu Nana, Yan Junping, Li Shuangshuang, et al. Spatiotemporal evolution of drought and flood in the Loess Plateau under climate drying-warming[J]. Arid Zone Research, 2013, 30(4): 705-711. ]
[10] 黄春艳. 黄河流域的干旱驱动及评估预测研究[D]. 西安: 西安理工大学, 2021.
[10] [ Huang Chunyan. Drought Driving and Assessment Prediction in the Yellow River Basin[D]. Xi’an: Xi’an University of Technology, 2021. ]
[11] 王飞, 王宗敏, 杨海波, 等. 基于SPEI的黄河流域干旱时空格局研究[J]. 中国科学: 地球科学, 2018, 48(9): 1169-1183.
[11] [ Wang Fei, Wang Zongmin, Yang Haibo, et al. Study of the temporal and spatial patterns of drought in the Yellow River Basin based on SPEI[J]. Science China Earth Sciences, 2018, 48(9): 1169-1183. ]
[12] 黄婷婷, 林青霞, 吴志勇, 等. 黄河流域干旱时空特征及其与ENSO的关联性分析[J]. 人民黄河, 2021, 43(11): 52-58.
[12] [ Huang Tingting, Lin Qingxia, Wu Zhiyong, et al. Spatial and temporal characteristics of drought in the Yellow River Basin and their correlation with ENSO[J]. Yellow River, 2021, 43(11): 52-58. ]
[13] 任怡. 黄河流域干旱特征及抗旱能力研究[D]. 西安: 西安理工大学, 2017.
[13] [ Ren Yi. Analysis of Drought Characteristics and Drought Resistance Ability of the Yellow River[D]. Xi’an: Xi’an University of Technology, 2017. ]
[14] 周帅, 王义民, 畅建霞, 等. 黄河流域干旱时空演变的空间格局研究[J]. 水利学报, 2019, 50(10): 1231-1241.
[14] [ Zhou Shuai, Wang Yimin, Chang Jianxia, et al. Research on spatio-temporal evolution of drought patterns in the Yellow River Basin[J]. Journal of Hydraulic Engineering, 2019, 50(10): 1231-1241. ]
[15] 杨睿, 耿广坡, 周洪奎, 等. 基于SPEI_PM指数的渭河流域气象干旱时空演变特征[J]. 中国农业气象, 2021, 42(11): 962-974.
[15] [ Yang Rui, Geng Guangpo, Zhou Hongkui, et al. Spatial-temporal evolution of meteorological drought in the Wei River Basin based on SPEI_PM[J]. Chinese Journal of Agrometeorology, 2021, 42(11): 962-974. ]
[16] 王作亮, 文军, 李振朝, 等. 典型干旱指数在黄河源区的适宜性评估[J]. 农业工程学报, 2019, 35(21): 186-195.
[16] [ Wang Zuoliang, Wen Jun, Li Zhenchao, et al. Evaluation of suitability using typical drought index in source region of the Yellow River[J]. Transactions of the Chinese Society of Agricultural Engineering, 2019, 35(21): 186-195. ]
[17] Chen H P, Sun J Q. Changes in drought characteristics over China using the Standardized Precipitation Evapotranspiration Index[J]. Journal of Climate, 2015, 28(13): 5430-5447.
[18] 杨泽康, 田佳, 李万源, 等. 黄河流域生态环境质量时空格局与演变趋势[J]. 生态学报, 2021, 41(19): 7627-7636.
[18] [ Yang Zekang, Tian Jia, Li Wanyuan, et al. Spatio-temporal pattern and evolution trend of ecological environment quality in the Yellow River Basin[J]. Acta Ecologica Sinica, 2021, 41(19): 7627-7636. ]
[19] 张志强, 刘欢, 左其亭, 等. 2000-2019年黄河流域植被覆盖度时空变化[J]. 资源科学, 2021, 43(4): 849-858.
[19] [ Zhang Zhiqiang, Liu Huan, Zuo Qiting, et al. Spatiotemporal change of fractional vegetation cover in the Yellow River Basin during 2000-2019[J]. Resources Science, 2021, 43(4): 849-858. ]
[20] 徐一丹, 任传友, 马熙达, 等. 基于SPI/SPEI指数的东北地区多时间尺度干旱变化特征对比分析[J]. 干旱区研究, 2017, 34(6): 1250-1262.
[20] [ Xu Yidan, Ren Chuanyou, Ma Xida, et al. Change of drought at multiple temporal scales based on SPI/SPEI in Northeast China[J]. Arid Zone Research, 2017, 34(6): 1250-1262. ]
[21] 吴霞, 王培娟, 霍治国, 等. 1961-2015年中国潜在蒸散时空变化特征与成因[J]. 资源科学, 2017, 39(5): 964-977.
[21] [ Wu Xia, Wang Peijuan, Huo Zhiguo, et al. Spatio-temporal distribution characteristics of potential evapotranspiration and impact factors in China from 1961 to 2015[J]. Resources Science, 2017, 39(5): 964-977. ]
[22] Vicente-Serrano S M, Beguería S, López-Moreno J I. A multiscalar drought index sensitive to global warming: The Standardized Precipitation Evapotranspiration Index[J]. Journal of Climate, 2010, 23(7): 1696-1718.
[23] 周丹, 张勃, 罗静, 等. 基于SPEI的华北地区近50年干旱发生强度的特征及成因分析[J]. 自然灾害学报, 2014, 23(4): 192-202.
[23] [ Zhou Dan, Zhang Bo, Luo Jing, et al. SPEI-based intensity characteristics and cause analysis of drought in North China during recent 50 years[J]. Journal of Natural Disasters, 2014, 23(4): 192-202. ]
[24] 刘珂, 姜大膀. 基于两种潜在蒸散发算法的SPEI对中国干湿变化的分析[J]. 大气科学, 2015, 39 (1): 23-36.
[24] [ Liu Ke, Jiang Dabang. Analysis of dryness/wetness over China using Standardized Precipitation Evapotranspiration Index based on two evapotranspiration algorithms[J]. Chinese Journal of Atmospheric Sciences, 2015, 39 (1): 23-36. ]
[25] 刘钰, 蔡林根. 参照腾发量的新定义及计算方法对比[J]. 水利学报, 1997(6): 28-34.
[25] [ Liu Yu, Cai Lingen. Update definition and computation of reference evapotranspiration comparison with former method[J]. Journal of Hydraulic Engineering, 1997(6): 28-34. ]
[26] 沈国强, 郑海峰, 雷振锋. SPEI 指数在中国东北地区干旱研究中的适用性分析[J]. 生态学报, 2017, 37(11): 3787-3795.
[26] [ Shen Guoqiang, Zheng Haifeng, Lei Zhenfeng. Applicability analysis of SPEI for drought research in Northeast China[J]. Acta Ecologica Sinica, 2017, 37(11): 3787-3795. ]
[27] 贾艳青, 张勃. 1960-2017年中国北方气候干湿变化及其与ENSO的关系[J]. 地理科学, 2020, 40(12): 2115-2124.
[27] [ Jia Yanqing, Zhang Bo. Correlation analysis of variation of dry-wet climate and ENSO in northern China during 1960-2017[J]. Scientia Geographica Sinica, 2020, 40(12): 2115-2124. ]
[28] 徐冬平, 卜金洋, 杨军辉. 黄河流域水分盈亏量时空变化及其影响因素[J]. 干旱区研究, 2016, 33(4): 739-746.
[28] [ Xu Dongping, Bu Jinyang, Yang Junhui. Spatiotemporal change of water budget and its affecting factors in the Yellow River Basin[J]. Arid Zone Research, 2016, 33(4): 739-746. ]
[29] 杨金虎, 张强, 王劲松, 等. 近60年来西南地区旱涝变化及极端和持续性特征认识[J]. 地理科学, 2015, 35(10): 1333-1340.
[29] [ Yang Jinhu, Zhang Qiang, Wang Jinsong, et al. Extreme and persistent feature of drought and flood of Southwest China in past 60 years[J]. Scientia Geographica Sinica, 2015, 35(10): 1333-1340. ]
[30] 曹永强, 路洁, 李玲慧. 基于SPEI指数的辽宁省多尺度旱涝特征分析[J]. 中国水利水电科学研究院学报, 2021, 19(2): 210-220.
[30] [ Cao Yongqiang, Lu Jie, Li Linghui. Analysis of multi-scale drought and flood characteristics in Liaoning Province based on SPEI[J]. Journal of China Institute of Water Resources and Hydropower Research, 2021, 19(2): 210-220. ]
[31] 侯青青, 裴婷婷, 陈英, 等. 1986-2019年黄土高原干旱变化特征及趋势[J]. 应用生态学报, 2021, 32(2): 649-660.
[31] [ Hou Qingqing, Pei Tingting, Chen Ying, et al. Variations of drought and its trend in the Loess Plateau from 1986 to 2019[J]. Chinese Journal of Applied Ecology, 2021, 32(2): 649-660. ]
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