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【目的】为探寻契合云南省实际情况的干旱指数，客观地揭示云南省干旱变化规律，实现对干旱状况的有效监测。【方法】通过熵权法将气象干旱指数(标准化降水蒸散发指数)与农业干旱指数(标准化土壤湿度指数)进行结合，构建新型综合干旱指数。借助相关分析、均方根误差以及标准偏差等方法，对不同干旱指数进行评估与筛选，确定最契合云南省实际状况的干旱指数。并基于优选出的干旱指数，运用游程理论、Mann-Kendall趋势检验等方法，深入剖析云南省干旱的时空变化特征。【结果】综合干旱指数反映干旱情况优于其他干旱指数，与气象、农业干旱指数的相关性分别为64%、60%,与统计的旱情资料的吻合率高达94.11%,在监测2009—2010年冬春连旱事件时，该方法所呈现的干旱发展态势与实际发生过程高度契合；时间上，近20年，云南省月尺度与季尺度的COI值均呈现出波动下降的态势。表明，干旱发生的频次有所增加，严重程度亦趋向增强。季节差异上，春季的干旱状况最为严峻，冬季次之，夏季和秋季相对较轻。但夏季干旱正以0.034/a的速率持续增强；空间上，云南省干旱强度与严重度表现出以滇中区域为中心，向外围逐渐递减的态势。在春、冬季节，重度干旱与特重度干旱主要集中于滇西南及滇中区域；而在夏、秋季节，轻度干旱与中度干旱发生频率较高。进一步通过趋势分析可知，春、秋、冬三个季节的干旱程度整体呈现减弱趋势(p<0.05)。其中，春季与秋季约60%～70%的区域呈现出显著下降趋势。夏季则与之相反，干旱强度显著增强，约25.93%的区域表现出明显增强态势(p<0.05),且主要集中于滇中与滇南地区。冬季，滇北区域约12.96%的面积干旱程度呈现显著增强趋势。【结论】COI在云南省的适用性优于其他干旱指数，夏季干旱有明显增强趋势，滇中、滇南区域上升趋势显著。
Abstract：[Objective]This study aims to develop a drought index suitable for the actual conditions of Yunnan Province, [Objective]ly reveal drought variation patterns, and achieve effective drought monitoring.[Methods]The meteorological drought index(Standardized Precipitation-Evapotranspiration Index, SPEI) and the agricultural drought index(Standardized Soil Moisture Index, SSMI) were combined using the entropy weight method to develop a new comprehensive drought index. Various drought indices were evaluated and screened using method such as correlation analysis, root mean square error, and standard deviation to identify the most suitable drought index for Yunnan Province. Then, based on the most suitable drought index, [Methods]such as the run theory and Mann-Kendall trend test were used to thoroughly analyze the spatiotemporal variation characteristics of drought in Yunnan Province.[Results]The comprehensive drought index outperformed other drought indices in reflecting drought conditions, showing correlations of 64% and 60% with meteorological and agricultural drought indices, respectively. Additionally, it showed 94.11% consistency with statistical drought records. During the 2009—2010 winter-spring consecutive drought events, the drought evolution pattern captured by this method showed high consistency with actual drought process. In terms of time, the COI values at both monthly and seasonal scales across the province showed a fluctuating downward trend over the past 20 years, indicating increased drought frequency and severity. Seasonally, drought conditions were the most severe in spring, followed by winter, while summer and autumn showed relatively milder conditions. However, summer drought showed a persistent intensification trend at a rate of 0.034 per year. Spatially, the drought intensity and severity in Yunnan Province showed a concentric pattern, decreasing outward from the central Yunnan. Severe and extremely severe droughts were mainly concentrated in southwest and central Yunnan in spring and winter, while mild and moderate droughts occurred more frequently in summer and autumn. Trend analysis further showed a significant weakening trend(p<0.05) in drought severity during spring, autumn, and winter. Specifically, about 60% to 70% of areas in spring and autumn showed a significant decrease. In contrast, summer showed significant drought intensification. About 25.93% of areas showed a notable increasing trend(p<0.05), particularly in central and southern Yunnan. In winter, about 12.96% of the northern Yunnan exhibited a significant increase in drought severity.[Conclusion]The COI proves to be more suitable for Yunnan Province than other drought indices. Summer drought shows a distinct intensification trend, with central and southern Yunnan experiencing the most significant increases.
[1] 李维京，左金清，宋艳玲，等.气候变暖背景下我国南方旱涝灾害时空格局变化[J].气象，2015,41(3):261-271.LI W J,ZUO J Q,SONG Y L,et al.Changes in spatio-temporal distribution of drought/flood disaster in Southern China under global climate warming[J].Meteorological Monthly,2015,41(3):261-271.
[2] 李国英.为以中国式现代化全面推进强国建设、民族复兴伟业提供有力的水安全保障[J].水利发展研究，2024,24(3):1-3.LI G Y.Improved water security for China’s efforts to build itself into a stronger country and rejuvenate the Chinese nation on all fronts by pursuing Chinese modernization[J].Water Resources Development Research,2024,24(3):1-3.
[3] ZHAO H,SHEFFIELD J,WOOD E F.Improvements in drought monitoring with the Standardized Precipitation Evapotranspiration Index (SPEI) using a multi-source ET dataset[J].Journal of Hydrology,2020,590:125214.
[4] LIU Y,REN L L,MA M W,et al.An insight into the Palmer drought mechanism based indices:Comprehensive comparison of their strengths and limitations[J].Stochastic Environmental Research and Risk Assessment,2016,30(1):119-136.
[5] MISHRA A K,SINGH V P.A review of drought concepts[J].Journal of Hydrology,2010,391(1-2):202-216.
[6] ZUHRO A,TAMBUNAN M P,MARKO K.Application of vegetation health index (VHI) to identify distribution of agricultural drought in Indramayu Regency,West Java Province[J].IOP Conference Series:Earth and Environmental Science,2020,500(1):012047.
[7] 杨文静，李建柱，冯平.基于标准化土壤湿度指数的滦河流域农业干旱评价[J].应用生态学报，2022,33(3):801-807.YANG W J,LI J Z,FENG P.Evaluation of agricultural drought in Luanhe River Basin based on the standardized soil moisture index[J].Chinese Journal of Applied Ecology,2022,33(3):801-807.
[8] 姜忠峰，许桂平，张凯.基于SPEI的贵州省气象干旱时空演变特征及双变量区域频率分析[J].水资源与水工程学报，2023,34(5):20-31.JIANG Z F,XU G P,ZHANG K.Spatiotemporal variation and bivariate regional frequency analysis of meteorological droughts in Guizhou Province based on SPEI[J].Journal of Water Resources and Water Engineering,2023,34(5):20-31.
[9] HUANG S Z,WANG L,WANG H,et al.Spatio-temporal characteristics of drought structure across China using an integrated drought index[J].Agricultural Water Management,2019,218:182-192.
[10] 吴志勇，程丹丹，何海，等.综合干旱指数研究进展[J].水资源保护，2021,37(1):36-45.WU Z Y,CHENG D D,HE H,et al.Research progress of composite drought index[J].Water Resources Protection,2021,37(1):36-45.
[11] 温庆志，孙鹏，张强，等.基于多源遥感数据的农业干旱监测模型构建及应用[J].生态学报，2019,39(20):7757-7770.WEN Q Z,SUN P,ZHANG Q,et al.An integrated agricultural drought monitoring model based on multi-source remote sensing data:Model development and application[J].Acta Ecologica Sinica,2019,39(20):7757-7770.
[12] 杨成铭，吴辉明.基于 Copula 函数的深圳市短历时降雨和潮位联合分布概率及风险分析[J].水利发展研究，2025,25(11):204-211.YANG Chengming,WU Huiming.Joint distribution possibility of short duration rainfall and tide level in Shenzhen based on Copula function and related risk analysis[J].Water Resources Development Research,2025,25(11):204-211.
[13] 郭盛明，粟晓玲，吴海江，等.基于核熵成分分析的综合干旱指数的构建与应用：以黑河流域中上游为例[J].干旱地区农业研究，2021,39(1):148-157.GUO S M,SU X L,WU H J,et al.Construction and application of comprehensive droughtindex based on kernel entropy component analysis:A case study of the upper and middle Heihe River Basin[J].Agricultural Research in the Arid Areas,2021,39(1):148-157.
[14] YANG C P,LIU C H,GU Y H,et al.A novel comprehensive agricultural drought index accounting for precipitation,evapotranspiration,and soil moisture[J].Ecological Indicators,2023,154:110593.
[15] 李伟光，刘少军，侯美亭，等.气象与农业干旱指数研究进展[J].气象与环境科学，2021,44(3):76-82.LI W G,LIU S J,HOU M T,et al.Advance in the study on meteorological and agricultural drought indices[J].Meteorological and Environmental Sciences,2021,44(3):76-82.
[16] 吕天，刘珺，李子璇，等.土壤湿度农业干旱指数的改进及其适用性[J].农业工程学报，2023,39(17):116-123.LYU T,LIU J,LI Z X,et al.Improvement and applicability of the soil moisture based agricultural drought index[J].Transactions of the Chinese Society of Agricultural Engineering,2023,39(17):116-123.
[17] 尹国应，张洪艳，张良培.2001—2019年长江中下游农业干旱遥感监测及植被敏感性分析[J].武汉大学学报(信息科学版),2022,47(8):1245-1256.YIN G Y,ZHANG H Y,ZHANG L P.Remote sensing monitoring of agricultural drought and vegetation sensitivity analysis in the middle and lower reaches of the Yangtze River from 2001 to 2019[J].Geomatics and Information Science of Wuhan University,2022,47(8):1245-1256.
[18] 陈家宁，孙怀卫，王建鹏，等.综合气象干旱指数改进及其适用性分析[J].农业工程学报，2020,36(16):71-77.CHEN J N,SUN H W,WANG J P,et al.Improvement of comprehensive meteorological drought index and its applicability analysis[J].Transactions of the Chinese Society of Agricultural Engineering,2020,36(16):71-77.
[19] 杨天翼.京津冀地区气象—农业干旱特征及响应关系研究[D].济南：济南大学，2023.YANG T Y.Study on the Characteristics and Response Relationship between Meteorology and Agricultural Drought in the Beijing-Tianjin-Hebei Region[D].Jinan:University of Jinan,2023.
[20] TIAN Q,LU J Z,CHEN X L.A novel comprehensive agricultural drought index reflecting time lag of soil moisture to meteorology:A case study in the Yangtze River basin,China[J].Catena,2022,209:105804.
[21] WANG T,TU X J,SINGH V P,et al.A composite index coupling five key elements of water cycle for drought analysis in Pearl River basin,China[J].Journal of Environmental Management,2022,320:115813.
[22] 隋聚艳，唐璐，张剑，等.耦合水文与气象要素的无定河流域干旱时空分布研究[J].人民黄河，2022,44(12):30-35.SUI J Y,TANG L,ZHANG J,et al.Spatial and temporal drought distribution characteristics in Wuding River Basin based on synthetic drought index[J].Yellow River,2022,44(12):30-35.
[23] 武乔，赵雪花.基于新型综合干旱指数的汾河上游干旱特征分析[J].水电能源科学，2023,41(8):15-18.WU Q,ZHAO X H.Analysis of drought characteristics in upper reaches of Fenhe River based on new comprehensive drought index[J].Water Resources and Power,2023,41(8):15-18.
[24] 杨云源，彭海英，陈瑞，等.基于CSPI的云南省1961—2016年六大流域季节干旱差异分析[J].灌溉排水学报，2022,41(8):130-138.YANG Y Y,PENG H Y,CHEN R,et al.Seasonal droughts from 1961 to 2016 in the six basins across Yunnan Province[J].Journal of Irrigation and Drainage,2022,41(8):130-138.
[25] 王胜，郑度，张霞.近50年云南省干旱时空变化特征分析[J].干旱区研究，2013,30(1):110-116.WANG S,ZHENG D,ZHANG X.Analysis of the temporal and spatial variation characteristics of drought in Yunnan Province in recent 50 years[J].Arid Zone Research,2013,30(1):110-116.
[26] 唐怡，卯昌书，苏建广.基于SPI指数的云南省干旱时空特征分析[J].水利水电快报，2023,44(2):17-23.TANG Y,MAO C S,SU J G.Temporal and spatial characteristics of drought in Yunnan Province based on Standardized Precipitation Index[J].Express Water Resources & Hydropower Information,2023,44(2):17-23.
[27] 宋琳琳，张强，任余龙，等.PDSI及sc_PDSI干旱指数在中国西南地区适用性分析[J].中国沙漠，2021,41(2):242-251.SONG L L,ZHANG Q,REN Y L,et al.The applicable analysis of PDSI and self_calibrating PDSI drought indices in southwest China[J].Journal of Desert Research,2021,41(2):242-251.
[28] WEI W,ZHANG J,ZHOU L,et al.Comparative evaluation of drought indices for monitoring drought based on remote sensing data[J].Environmental Science and Pollution Research,2021,28(16):20408-20425.
[29] 陈正发，李靖，相彪，等.基于SPI的云南省多尺度干旱时空演变特征识别[J].灌溉排水学报，2023,42(4):92-99.CHEN Z F,LI J,XIANG B,et al.Spatiotemporal variation of drought in Yunnan Province calculated using the standardized precipitation index[J].Journal of Irrigation and Drainage,2023,42(4):92-99.
[30] 杨兴海，袁林果，姜中山，等.应用GPS垂向位移定量分析2011—2020年云南省极端干旱时空特征[J].地球物理学报，2022,65(8):2828-2843.YANG X H,YUAN L G,JIANG Z S,et al.Quantitative analysis of abnormal drought in Yunnan Province from 2011 to 2020 using GPS vertical displacement observations[J].Chinese Journal of Geophysics,2022,65(8):2828-2843.
[31] WANG J L,YU Y H.Comprehensive drought monitoring in Yunnan Province,China using multisource remote sensing data[J].Journal of Mountain Science,2021,18(6):1537-1549.
[32] 于维，柯福阳，曹云昌.基于MODIS_TVDI/GNSS_PWV的云南省干旱特征时空分析[J].自然资源遥感，2021,33(3):202-210.YU W,KE F Y,CAO Y C.Spatial-temporal analysis of drought characteristics of Yunnan Province based on MODIS_TVDI/GNSS_PWV data[J].Remote Sensing for Natural Resources,2021,33(3):202-210.
[33] 田云涛.云南省骤发干旱演变规律及其传播过程[D].南京：南京信息工程大学，2023.TIAN Y T.Evolution and Propagation Process of Sudden Drought in Yunnan Province[D].Nanjing:Nanjing University of Information Science & Technology,2023.
[34] 李国英.进一步全面深化水利改革为推动水利高质量发展、保障我国水安全作出新的贡献：在2025年全国水利工作会议上的讲话[J].水利发展研究，2025,25(1):1-12.LI G Y.Further comprehensively deepen water conservancy reform to promote high-quality development of water conservancy and safeguard national water security:A speech at the 2025 National Water Conservancy Work Conference[J].Water Resources Development Research,2025,25(1):1-12.
[35] 吴丰昌.我国水体污染控制与治理成效、科技支撑与展望[J].水利发展研究，2023,23(12):1-8.WU F C.Effectiveness,scientific and technological support,and prospects for water pollution control and management in China[J].Water Resources Development Research,2023,23(12):1-8.
[36] XIAO J,SUN F B,WANG T T,et al.Quantifying the influence of vegetation change and multiple environmental factors on evapotranspiration in an inland river basin of the arid region from 1985 to 2020[J].Journal of Cleaner Production,2025,494:144962.
[37] WANG S N,ZHOU Q C,WU Y J,et al.Remote-sensed determination of spatiotemporal properties of drought and assessment of influencing factors in Ordos,China[J].Agronomy,2024,14(10):2265.
[38] 孙嘉敏，王爱慧.近120年中国干旱年际变化特征及主要的影响因子[J].气候与环境研究，2024,29(6):681-694.SUN J M,WANG A H.Interannual variability and key influencing factors of drought in China over the past 120 years[J].Climatic and Environmental Research,2024,29(6):681-694.
基本信息:
DOI：10.13928/j.cnki.wrahe.2025.12.005
中图分类号:S423
引用信息:
[1]唐露芳,黄义忠.基于气象—农业综合干旱指数的云南省干旱时空演变特征[J].水利水电技术(中英文),2025,56(12):54-66.DOI:10.13928/j.cnki.wrahe.2025.12.005.
基金信息:
国家自然科学基金项目(41761081); 云南省社科重点基金项目(ZD202218)