甘肃河东地区气象干旱时空变化及干旱危险性分析

doi:10.3969/j.issn.1000-6362.2020.07.006

摘要/Abstract

摘要： 基于标准化降水蒸散指数（SPEI），利用甘肃河东地区1988-2017年60个气象站月值气候数据，通过线性倾向估计、Mann-Kendall突变检测、小波功率谱、Hurst指数等方法对河东地区干旱事件发生次数、干旱烈度和持续时间3种干旱指标的时空变化、突变、变化周期和趋势延续性进行分析，并对气象干旱危险性进行评估。结果表明：年际变化上，1988?2017年河东地区干旱事件发生次数、干旱烈度和持续时间均呈显著增加趋势（P<0.05），变化倾向率分别为0.31次·10a-1、0.61级·10a-1和0.48个月·10a-1，陇中高原为增加趋势最显著的分区。空间上，干旱事件发生次数、干旱烈度和持续时间呈显著增加的站点占站点总数的比例分别为18.0%、31.1%和26.2%，区域内仅存在少数变化率为负值的站点，但这些站点变化趋势均不显著（P>0.05）。Hovmoller图显示，干旱事件发生次数、干旱烈度和持续时间在时空上具有集聚性，反映河东地区相邻近站点具有类似的干旱时空特征。Hurst指数显示，在未来河东地区的干旱事件发生次数、干旱烈度和持续时间仍会主要呈现增加趋势，但强持续性（Hurst值接近1）的区域范围较小。研究区干旱指标突变年份为1994年，突变后干旱事件发生次数、干旱烈度和持续时间分别增加0.76次、2.29级、1.70个月，体现出近年来干旱化的态势。小波功率谱显示河东地区干旱指标震荡周期均在6a内，反映干旱具有短期波动特征。30a内研究区总体干旱危险性较大的区域为陇中高原，但研究区每10a的干旱危险性分布存在显著差异，1988-1997年河东地区面临的干旱危险性最大，2008-2017年干旱危险性较小。

关键词: 标准化降水蒸散指数（SPEI）, 甘肃, 气象干旱, 河东地区, 干旱危险性

Abstract: Meteorological drought in rain-fed agricultural areas has always been the focus of attention, especially for the area at the junction of monsoon and arid areas with less precipitation. Understanding the characteristics of meteorological drought is particularly important for agricultural production. Based on the monthly climate data of 60 meteorological stations from 1988 to 2017 in Hedong, Gansu，linear tendency estimation, Mann-Kendall abrupt change detection, wavelet power spectrum and hurst index were used to analyze the spatio temporal changes, abrupt change, periods of change and the continuity of trends of the three drought indicators: occurrence times, intensity and duration of drought events in Hedong area. The risk of meteorological drought in different time periods in Hedong area was shown by the drought risk index. The results showed that, firstly, as for the interannual change, the occurrence times, intensity and duration of drought events in Hedong area increased significantly (P < 0.05) from 1988 to 2017, and t-1, 0.61level·10y-1 and 0.48months·10y-1 respectively. Among all the geographic zones, increasing trend in Longzhong plateau was the most significant. Secondly, in space, the proportions of stations with significant increase in the occurrence times, intensity and duration of droughts events among the total stations were 18.0%, 31.1% and 26.2% respectively. There were only a few stations with decreasing trend in Hedong area, but the change trend of these stations was not significant (P>0.05). Thirdly, the Hovmoller chart showed that the occurrence times, intensity and duration of drought events were clustered in years and space, reflecting that the adjacent stations in Hedong area had similar spatial and temporal characteristics of drought. The Hurst index showed that in the future, the occurrence times, intensity and duration of drought events in most area of Hedong will still maintain an increasing trend, but there was only a small area with strong persistence (hurst values close to 1). What’s more, the drought indicator abrupt change appeared in 1994, the occurrence times, intensity, and duration of drought events after the abrupt change increase by 0.76 times, 2.29 level, 1.70 months, which also reflected the trend of drought in recent years. The oscillation period of drought index in Hedong area was within 6 years, reflecting that drought has a short-term fluctuation. Furthermore, the area with the highest risk of drought among all study areas within 30 years was Longzhong plateau. However, there was a significant difference in the distribution of drought risk in study areas in every 10 years. From 1988 to 1997, Hedong area faced the greatest drought risk, while from 2008 to 2017, the drought risk was relatively small.

Key words: Standardized precipitation evapotranspiration index(SPEI), Gansu, Meteorological drought, Hedong area, Drought risk

中图分类号:

黄浩，张勃，马尚谦，马彬，崔艳强，王晓丹，马春荣，陈坤全，张婷. 甘肃河东地区气象干旱时空变化及干旱危险性分析[J]. 中国农业气象, 2020, 41(07): 459-469.

HUANG Hao, ZHANG Bo, MA Shang-qian, MA Bin, CUI Yan-qiang, WANG Xiao-dan, MA Chun-rong, CHEN Kun-quan, ZHANG Ting. Temporal and Spatial Variations of Meteorological Drought and Drought Risk Analysis in Hedong Area of Gansu Province[J]. Chinese Journal of Agrometeorology, 2020, 41(07): 459-469.

参考文献

[1] 刘宪锋,朱秀芳,潘耀忠,等.农业干旱监测研究进展与展望[J].地理学报,2015,70(11):1835-1848. Liu X F,Zhu X F,Pan Y Z,et al.Agricultural drought monitor: progress,challenges and prospect[J].Acta Geographica Sinica, 2015,70(11):1835-1848.(in Chinese) [2] 杨涛,陆桂华,李会会,等.气候变化下水文极端事件变化预测研究进展[J].水科学进展,2011,22(2):279-286. Yang T,Lu G H,Li H H,et al.Advances in the study of projection of climate change impacts on hydrological extremes[J].Advances in Water Science,2011,22(2):279-286. (in Chinese) [3] 秦大河,丁一汇,王绍武,等.中国西部生态环境变化与对策建议[J].地球科学进展,2002,17(3):314-319. Qin D H,Ding Y H,Wang S W,et al.Ecological and environmental change in west China and its response strategy [J].Advance in Earth Sciences,2002,17(3): 314-319.(in Chinese) [4] 徐建文,居辉,刘勤,等.黄淮海地区干旱变化特征及其对气候变化的响应[J].生态学报,2014,34(2):460-470. Xu J W,Ju H,Liu Q,et al.Variation of drought and regional response to climate change in Huang-Huai-Hai Plain[J].Acta Ecologica Sinica,2014,34(2):460-470.(in Chinese) [5] Zargar A,Sadiq R,Naser B,et al.A review of drought indices[J]. Environmental Reviews,2011,19:333-349. [6] Palmer W C.Meteorological drought[M].US Department of Commerce,Weather Bureau:Washington,DC, USA,1965:1-58. [7] McKee T B,Doesken N J,Kleist J.The relationship of drought frequency and duration to time scales:proceedings of vulnerability[M].Cambridge:Cambridge University Press, 1993:100-184. [8] 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. [9] 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. Wang L,Chen W.Applicability analysis of standardized precipitation evapotranspiration index in drought monitoring in China[J].Plateau Meteorology,2014,33(2):423-431.(in Chinese) [10] 庄少伟,左洪超,任鹏程,等.标准化降水蒸发指数在中国区域的应用[J].气候与环境研究,2013,18(5):617-625. Zhuang S W,Zuo H C,Ren P C,et al.Application of standardized precipitation evapotranspiration index in China [J].Climatic and Environmental Research,2013,18(5): 617- 625.(in Chinese) [11] 赵一飞,张勃,汪宝龙,等.近54a来甘肃省河东地区气候时空变化特征[J].干旱区研究,2012,29(6):956-964. Zhao Y F,Zhang B,Wang B L,et al.Spatiotemporal climate change in the Hedong region in Gansu province in recent 54 years[J].Arid Zone Research,2012,29(6):956-964.(in Chinese) [12] 陆登荣,黄斌,王劲松.甘肃河东雨养农业区旬降水变化及其与土壤湿度关系[J].干旱地区农业研究,2011,29(2): 230-235. Lu D R,Huang B,Wang J S.Change of the ten-day precipitation and its relationship with soil moisture in the rain-fed area east of the Yellow River in Gansu province [J].Agricultural Research in the Arid Areas,2011,29(2): 230-235.(in Chinese) [13] 温克刚,等.中国气象灾害大典·甘肃卷[M].北京:气象出版社,2005:1-3. Wen K G,et al.China meteorological disasters,Gansu volume [M].Beijing:China Meteorological Press,2005:1-3.(in Chinese) [14] 沙莉,李施,沙莎,等.基于SPI指数甘肃省河东地区干旱特征分析[J].气象与环境学报,2016,32(5):122-130. Sha L,Li S,Sha S,et al.Analysis of drought characteristics based on SPI for Eastern area of the Yellow River in Gansu province[J].Journal of Meteorology and Environment,2016, 32(5):122-130.(in Chinese) [15] 季定民.不同气象干旱指标在甘肃省的应用分析[D].兰州:西北师范大学,2015. Ji D M.Analysis of applicability of different meteorological drought index in Gansu province[D].Lanzhou:Northwest Normal University,2015.(in Chinese) [16] 张建华,王志豪,王玉贵.基于SPEI指数的甘肃河东地区近56年干旱时空变化分析[J].农村经济与科技,2018, 29(13):41-43. Zhang J H,Wang Z H,Wang Y G.Spatiotemporal variation of drought in Hedong area of Gansu province in recent 56 years based on SPEI index[J].Rural Economy and Science- Technology,2018,29(13):41-43.(in Chinese) [17] 朱文兴,等.甘肃年鉴2002[M].北京:中国统计出版社,2003. Zhu W X,et al.Gansu yearbook 2002[M].Beijing:China Statistics Press,2003.(in Chinese) [18] 樊怀玉,鲜力群,等.甘肃年鉴2008[M].北京:中国统计出版社,2009. Fan H Y,Xian L Q,et al.Gansu yearbook 2008[M]. Beijing:China Statistics Press,2009.(in Chinese) [19] 樊怀玉,鲜力群,等.甘肃年鉴2013[M].北京:中国统计出版社,2014. Fan H Y,Xian L Q,et al.Gansu yearbook 2013[M].Beijing: China Statistics Press,2014.(in Chinese) [20] Vicente-serano S M,Begueria S,Lopez-moreno J I.Comment on“characteristics and trends in various forms of the palmer drought severity index(PDSI) during 1900-2008”by Aiguo Dai[J].Joumal of Geophysical Research:Atmospheres,2011, 116(D19):D19112. [21] 和骅芸,胡琦,潘学标,等.气候变化背景下华北平原夏玉米花期高温热害特征及适宜播期分析[J].中国农业气象, 2020,41(1):1-15. He H Y,Hu Q,Pan X B,et al.Characteristics of heat damage during flowering period of summer maize and suitable sowing date in North China plain under climate change [J].Chinese Journal of Agrometeorology,2020,41(1):1-15.(in Chinese) [22] 李红英,张晓煜,王静,等.基于CI指数的宁夏干旱致灾因子特征指标分析[J].高原气象,2014,33(4):995-1001. Li H Y,Zhang X Y,Wang J,et al.Analysis of drought disasters-causing factors in Ningxia based on CI index [J].Plateau Meteorology,2014,33(4):995-1001.(in Chinese) [23] 马尚谦,张勃,唐敏,等.1960-2015年淮河流域初终霜日时空变化分析[J].中国农业气象,2018,39(7):468-478. Ma S Q,Zhang B,Tang M,et al.Analysis on the temporal and spatial changes of frost date in the Huaihe River Basin from 1960 to 2015[J].Chinese Journal of Agrometeorology,2018, 39(7):468-478.(in Chinese) [24] 刘洋洋,章钊颖,同琳静,等.中国草地净初级生产力时空格局及其影响因素[J].生态学杂志,2020,39(2):349-363. Liu Y Y,Zhang Z Y,Tong L J,et al.Spatiotemporal dynamics of China 's grassland NPP and its driving factors[J]. Chinese Journal of Ecology,2020,39(2):349-363.(in Chinese) [25] 陈彦光.地理数学方法:基础和应用[M].北京:科学出版社,2011:463-472. Chen Y G.Geographical mathematics:basic and application [M].Beijing:Science Press, 2011:463-472.(in Chinese) [26] 段亚明,刘勇,刘秀华,等.基于POI大数据的重庆主城区多中心识别[J].自然资源学报,2018,33(5):788-800. Duan Y M,Liu Y,Liu X H,et al.Identification of polycentric urban structure of central Chongqing using points of interest big data[J].Journal of Natural Resources,2018,33(5):788-800. (in Chinese) [27] 韩兰英,张强,杨阳,等.气候变化背景下甘肃省主要气象灾害综合损失特征[J].干旱区资源与环境,2019,33(7): 107-114. Han L Y,Zhang Q,Yang Y,et al.Change characteristics of meteorological disaster losses under climatic change in Gansu province[J].Journal of Arid Land Resources and Environment,2019,33(7):107-114.(in Chinese) [28] 韩兰英,张强,赵红岩,等.甘肃省农业干旱灾害损失特征及其对气候变暖的响应[J].中国沙漠, 2016,36(3):767-776. Han L Y,Zhang Q,Zhao H Y,et al.The characteristics of agricultural drought disaster loss and response to climate warming in Gansu,China[J].Journal of Desert Research,2016, 36(3):767-776.(in Chinese)