Meteorological drought variation characteristics of Northern Xinjiang from 1961 to 2020 based on SPEI

doi:10.14088/j.cnki.issn0439-8114.2024.05.007

Abstract

Abstract: Based on the daily meteorological data of 26 major meteorological stations in Northern Xinjiang from 1961 to 2020, the standardized precipitation evapotranspiration index （SPEI） was selected as the meteorological drought index, and Mann-Kendall mutation test and wavelet analysis were used to explore the variation characteristics of SPEI and the influence of different grades of meteorological drought in Northern Xinjiang in annual, spring and summer. The results showed that the actual mild drought situation in Northern Xinjiang was more suitable for identification by -1.0<SPEI≤0. Contrary to the trend of humidification at the annual scale, the Northern Xinjiang showed different degrees of aridification in spring and summer, and the influence range of extreme meteorological drought （severe drought and extreme drought） events in summer expanded significantly. There was a main change cycle of 1~4 years for SPEI at different scales from 1961 to 2020. The overall climate of Northern Xinjiang showed a significant humidification trend from 1993 to 2010 after the transformation of the 1980s, but the spring and summer climate showed a trend signal from wet to dry in 2014 and 1997, respectively. The drought in the summer of the study area began to gradually ease in 1988, but the drought began to gradually intensify after another mutation in 2008.

Key words: standard precipitation evapotranspiration index （SPEI）, meteorological drought, wavelet analysis, Mann-Kendall mutation test, Northern Xinjiang

CLC Number:

P426.616

WEI Yan-hao, Gulinazi, Batur Bake, Palizhati Yusufu, Zulkeya Manap, Patiguli Maimaiti. Meteorological drought variation characteristics of Northern Xinjiang from 1961 to 2020 based on SPEI[J]. HUBEI AGRICULTURAL SCIENCES, 2024, 63(5): 37-44.

References

[1] 秦大河,丁一汇,王绍武,等.中国西部环境变化与对策建议[J].地球科学进展, 2002, 17(3): 314-319.
[2] 黄庆忠, 张强, 李勤, 等.基于SPEI的季节性干湿变化特征及成因探讨[J].自然灾害学报, 2018, 27(2): 130-140.
[3] 张强, 张良, 崔显成, 等.干旱监测与评价技术的发展及其科学挑战[J].地球科学进展, 2011, 26(7): 763-778.
[4] 张翔, 韦燕芳, 李思宇, 等.从干旱灾害到干旱灾害链:进展与挑战[J].干旱气象, 2021, 39(6): 873-883.
[5] 彭双姿, 刘鑫淼, 陈涛, 等.衡邵干旱走廊干旱监测评估方法探讨[J].干旱气象, 2021, 39(6): 894-899.
[6] DAI A.Drought under global warming: A review[J]. Wiley interdisciplinary reviews:Climate change, 2011, 2(1): 45-65.
[7] 卡力比尔·买买提.北疆棉花干旱灾害风险评估[D].乌鲁木齐:新疆农业大学, 2021.
[8] 陈燕丽, 蒙良莉, 黄肖寒, 等.基于SPEI的广西喀斯特地区1971—2017年干旱时空演变[J].干旱气象, 2019, 37(3): 353-362.
[9] 程航, 孙国武, 冯呈呈, 等.亚非地区近百年干旱时空变化特征[J].干旱气象, 2018, 36(2): 196-202.
[10] 武荣盛,侯琼,杨玉辉,等.多时间尺度气象干旱指数在内蒙古典型草原的适应性研究[J].干旱气象,2021,39(2):177-184.
[11] 李红梅, 李林, 李万志.气象干旱监测指标在青海高原的适用性分析[J].干旱区研究, 2018, 35(1): 114-121.
[12] 菅会成, 任建成, 卢晓宁.基于SPEI的鲁西北地区干旱变化特征[J].地理空间信息, 2023, 21(2): 62-66.
[13] 余兴湛, 蒲义良, 康伯乾.基于SPEI的广东省近50 a干旱时空特征[J].干旱气象, 2022, 40(6): 1051-1058.
[14] 赵玉兵, 张杰, 刘连涛, 等.基于SPEI的河北省南部棉花生长季干旱特征分析[J].农学学报, 2022, 12(12): 56-62.
[15] 张山清, 普宗朝.新疆参考作物蒸散量时空变化分析[J].农业工程学报, 2011, 27(5): 73-79,400.
[16] 马赛. 基于SPEI指数的新疆北疆地区干旱时空变化特征[D].西安:西北大学, 2021.
[17] 吴秀兰, 段春锋, 玛依拉·买买提艾力, 等.基于MCI的新疆近60 a干旱时空特征分析[J].干旱区研究, 2022, 39(1): 75-83.
[18] 张喜成, 徐长春, 宋佳, 等.基于遥感DSI的新疆干旱特征分析[J].江苏农业科学, 2020, 48(2): 239-246.
[19] 黄静, 张运, 汪明秀, 等.近17年新疆干旱时空分布特征及影响因素[J].生态学报, 2020, 40(3): 1077-1088.
[20] 姚俊强, 毛炜峄, 陈静, 等.新疆气候“湿干转折”的信号和影响探讨[J].地理学报, 2021, 76(1): 57-72.
[21] 曹艳萍, 南卓铜, 程国栋. GRACE重力卫星监测新疆干旱特征[J].干旱区资源与环境, 2015, 29(8): 87-92.
[22] VICENTE-SERRANO S M, BEGUERÍA S, LÓEZ-MORENO J I. A multi-scalar drought index sensitive to global warming: The standardized precipitation evapotranspiration index-SPEI[J]. Journal of climate, 2010, 23: 1696.
[23] BEGUERÍA S, VICENTE-SERRANO S M, REIG F, et al. Standardized precipitation evapotranspiration index (SPEI) revisited: Parameter fitting, evapotranspiration models, tools, datasets and drought monitoring[J]. International journal of climatology, 2014,34(10): 3001-3023.
[24] THORNTHWAITE C W.An approach toward a rational classiﬁcation of climate[J]. Geographical review, 1948, 38: 55-94.
[25] GB/T 20481—2017, 气象干旱等级[S].
[26] 王林, 陈文.标准化降水蒸散指数在中国干旱监测的适用性分析[J].高原气象, 2014, 33(2): 423-431.
[27] 祁嘉郁,巴特尔·巴克.基于相对湿润度指数的北疆气象干旱时空特征[J].水土保持研究, 2021, 28(3): 223-228.
[28] 史玉光. 中国气象灾害大典(新疆卷)[M].北京:气象出版社,2006.
[29] 新疆维吾尔自治区统计局.新疆统计年鉴[M].北京:中国统计出版社,2011.
[30] 轩俊伟,郑江华,刘志辉.基于SPEI的新疆干旱时空变化特征[J].干旱区研究, 2016, 33(2): 338-344.
[31] 胡文峰, 陈玲玲, 姚俊强, 等.近55年来新疆多时间尺度干旱格局演变特征[J].人民珠江, 2019, 40(11): 1-9, 27.
[32] 姜逢清,胡汝骥.近50年来新疆气候变化与洪旱灾害扩大化[J].中国沙漠, 2004, 24(1): 35-40.
[33] 罗那那, 巴特尔·巴克, 吴燕锋.基于标准化降水指数的北疆地区近52年旱涝变化特征[J].水土保持研究, 2017, 24(2): 293-299.
[34] 普宗朝,张山清.气候变暖对新疆核桃种植气候适宜性的影响[J].中国农业气象,2018,39(4):267-279.
[35] 吴秀兰, 张太西, 王慧, 等.1961—2017年新疆区域气候变化特征分析[J].沙漠与绿洲气象,2020,14(4):27-34.
[36] 宋玉鑫, 马军霞, 左其亭,等.新疆多时间尺度干湿变化特征分析[J].水资源保护, 2021, 37(2): 43-48.