基于SPEI和TVDI的河南省干旱时空变化分析  

Analysis on temporal and spatial variation of drought in Henan Province based on SPEI and TVDI

作　　者：陈少丹 张利平[1,2] 汤柔馨 杨凯[2] 黄勇奇[2] Chen Shaodan;Zhang Liping;Tang Rouxin;Yang Kai;Huang Yongqi(State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China;College of Tourism Culture and Geographical Science, Huanggang Normal University, Huanggang 438000, China)

机构地区：[1]武汉大学水资源与水电工程科学国家重点实验室,武汉430072 [2]黄冈师范学院旅游文化与地理科学学院,黄冈438000

出　　处：《农业工程学报》2017年第24期126-132,共7页Transactions of the Chinese Society of Agricultural Engineering

基　　金：国家自然科学基金项目(51339004);国家重点研发计划项目(2017YFA0603704);湖北省科技计划项目(2015BCA290)

摘　　要：近年来干旱在中国频发且影响不断加剧,因此监测干旱对气候变化、农业生产都有重要意义。基于1961-2016年56年的气象资料,利用标准化降水蒸散指数(SPEI)定量地分析了河南省不同时间尺度(1、3、6和12个月)的干旱发生的时空变化特征和强度;另外采用温度植被干旱指数(TVDI)分析了河南省的区域面积上的干旱空间变化,并探讨了SPEI和TVDI的相关性。结果表明:1961-2016年56 a间,SPEI值在各时间尺度上都呈微弱的湿润化,随着时间尺度的增大,SPEI值波动幅度减小;河南省各地区干旱分布不均匀,发生干旱年的是1961、1965、1966、1968、1972、1976、1978、1981、1986、1988、1997、2001、2013共13年,与实际情况较为一致。在月时间尺度上,SPEI与TVDI的相关性分析表明,SPEI-1与TVDI呈负相关关系,即TVDI越小,SPEI的值越大,干旱程度越轻;TVDI越大,SPEI的值越小,干旱程度越严重。研究结果可为河南省干旱影响评估提供参照标准。In the context of global warming,drought is the most complex and damaging natural disaster,which becomes more and more frequent,causing negative impacts on agriculture,water resources,natural ecosystems,and society activities.There are several kinds of drought indices derived from station-based meteorological data that are widely used for monitoring drought evolution,mainly including the Palmer drought severity index(PDSI),the standardized precipitation index(SPI)and the standardized precipitation evapotranspiration index(SPEI).The SPEI not only considers precipitation and temperature data,but also integrates the sensitivity of PDSI to changes in evaporation demand and the simplicity of calculation and the multi-scale features of the SPI that identify different types of drought.Therefore,the SPEI was used to describe the drought severity determined by the difference between precipitation and potential evapotranspiration,based on the monthly meteorological data from1961to2016in Henan Province.And the regional SPEI was obtained at different time scales(1-,3-,6-,and12-month)to characterize the dry or wet conditions in the study area.And the1-month SPEI can clearly see the subtle changes of drought occurrence and reflect a short-term condition;the3-month SPEI provides the seasonal drought occurrence;the12-month SPEI reflects the drought variation at inter-annual time scales.In addition,the remote sensing method,which can provide large coverage,and multispectral and multitemporal observations from satellite sensors at various scales,is another method used to monitor drought conditions on a regional scale,especially in the areas with few meteorological stations.Numerous studies have suggested that a combination of surface temperature,normalized difference vegetation index(NDVI)and land surface temperature(LST)can reveal information on the regional drought conditions.Here,the temperature vegetation dryness index(TVDI)based on the interpretation of the simplified NDVI-LST space for estimating drought conditions was selec

关 键 词：气候变化 干旱 遥感 SPEI TVDI MODIS 河南省 

分 类 号：S127[农业科学—农业基础科学]