干旱严重程度指数（DSI）在山东省干旱遥感监测中的适用性

doi:10.3969/j.issn.1000-6362.2020.02.005

摘要/Abstract

摘要： 选择一个合适的干旱遥感监测指标，对于及时准确评估干旱对农作物生长影响有重要意义。本文综合植被指数和蒸散发指数，构成干旱严重程度的指数（DSI），并定量评价DSI在山东地区干旱监测的适用性，以期为该区干旱遥感动态监测提供科学依据。在定量分析DSI适用性的过程中，采用相关分析方法，针对基于标准化降水指数（SPI）长时间序列中的典型干旱时期，将月尺度的DSI、归一化干旱指数（NDDI）、温度植被干旱指数（TVDI）分别与SPI、土壤相对湿度（RSM）进行皮尔森相关关系分析。结果表明，SPI、RSM与DSI的相关系数分别在0.40、0.30左右，整体上高于SPI、RSM与NDDI和TVDI的相关性。此外，DSI表示的旱情时空分布准确地捕捉到了历史时期山东各地区的典型干旱事件的发生及其干旱的变化过程。DSI可以反映气象干旱和农业干旱，对山东干旱遥感监测有较好的适用性。

关键词: 遥感, 干旱指数, DSI, 适用性, 山东省

Abstract: It is important to select a suitable drought remote sensing monitoring index for timely and accurate assessment of the impact of drought on crop growth. In this paper, the vegetation index and evapotranspiration index were integrated to form the drought severity index (DSI), and the applicability of DSI was quantitatively evaluated in drought monitoring，in order to provide scientific basis for remote sensing dynamic monitoring of drought in Shandong province. In the process of quantitatively analysis of DSI applicability, the Pearson correlation analysis was carried out on the monthly scale DSI, Normalized Difference Drought Index(NDDI), Tempera-ture Vegetation Drought Index(TVDI) and Standard Precipitation Index (SPI), Relative Soil Moisture (RSM) in the typical drought period based on the long-term sequence of the SPI, respectively. The results showed that the correlation coefficients between SPI, RSM and DSI are about 0.40 and 0.30 respectively, which were higher than the correlation between SPI, RSM and NDDI, TVDI. In addition, the occurrence of typical drought events and the change process of drought were accurately described by the spatial-temporal distribution of DSI in Shandong province during the historical period. The meteorological drought and agricultural drought was reflected by DSI, which indicated the good applicability of DSI for remote sensing monitoring of drought in Shandong province.

Key words: Remote sensing, Drought indices, DSI, Applicability, Shandong Province

童德明，白雲，张莎，刘琦，杨晋云. 干旱严重程度指数（DSI）在山东省干旱遥感监测中的适用性[J]. 中国农业气象, 2020, 41(02): 102-112.

TONG De-ming, BAI Yun, ZHANG Sha, LIU Qi, YANG Jin-yun. Applicability of Drought Severity Index(DSI) in Remote Sensing Monitoring of Drought in Shandong Province[J]. Chinese Journal of Agrometeorology, 2020, 41(02): 102-112.

参考文献

[1]陈晓玲,赵红梅,田礼乔. 环境遥感模型与应用[M].武汉:武汉大学出版社,2008:188-189. Chen X L,Zhao H M,Tian L Q.Remote sensing of environment: models and applications[M].Wuhan:Wuhan University Press,2008:188-189.(in Chinese) [2]Food and Agriculture Organization Nations(FAO).Statistical database of the food and agricultural organization of the united nations[EB/OL].http://www.fao.org/statistics/en/,2018. [3]万能涵,杨晓光,刘志娟,等.气候变化背景下中国主要作物农业气象灾害时空分布特征(Ⅲ):华北地区夏玉米干旱[J].中国农业气象,2018,39(4):209-219. Wan N H,Yang X G,Liu Z J,et al.Temporal and spatial variations of agro-meteorological disasters of main crops in China in a changing climate(Ⅲ):drought of summer maize in North China Plain[J].Chinese Journal of Agrometeorology, 2018,39(4):209-219.(in Chinese) [4]张佳华,许云,姚凤梅,等.植被含水量光学遥感估算方法研究进展[J].中国科学:技术科学,2010,(10):1121-1129. Zhang J H,Xu Y,Yao F M,et al.Advances in estimation methods of vegetation water content based on optical remote sensing techniques[J].Sciences in China(E),2010,(10):1121- 1129.(in Chinese) [5]张洁,武建军,周磊,等.基于MODIS数据的农业干旱监测方法对比分析[J].遥感信息,2012,27(5):48-54. Zhang J,Wu J J,Zhou L,et al.Comparative study on remotely sensed methods of monitoring agricultural drought based on MODIS data[J].Remote Sensing Information,2012,27(5): 48-54.(in Chinese) [6]Mckee T B,Doesken N J,Kleist J.The relationship of drought frequency and duration to time scale[J].Paper Presented at 8th Conference on Applied Climatology,1993,17(22):179-183. [7]黄中艳,钟楚,张明达,等.若干干旱指标在云南大旱年农业干旱监测评估中的适用性分析[J].中国农业气象,2013, 34(2):221-228. Huang Z Y,Zhong C,Zhang M D,et al.Applicability analysis for several drought indices to agricultural drought evaluation during the severe drought year in Yunnan[J].Chinese Journal of Agrometeorology,2013,34(2):221-228.(in Chinese) [8]Rhee J,Im J,Carbone G J.Monitoring agricultural drought for arid and humid regions using multi-sensor remote sensing data[J].Remote Sensing of Environment,2010,114(12):2875- 2887. [9]杜灵通,田庆久,王磊,等.基于多源遥感数据的综合干旱监测模型构建[J].农业工程学报,2014,(9):126-132. Du L T,Tian Q J,Wang L,et al.A synthesized drought monitoring model based on multi-source remote sensing data [J].Transactions of the CSAE,2014,(9):126-132.(in Chinese) [10]姚凤梅,杨太明,曹倩,等.合肥地区近55年气候极值与农业气候指标动态变化趋势[J].自然灾害学报,2013,22(5): 227-237. Yao F M,Yang T M,Cao Q,et al.Dynamic change trend of climate extremes and agroclimatic indices in Hefei region over past 55 years[J].Journal of Natural Disasters,2013,22(5): 227-237.(in Chinese) [11]Anderson M,Hain C,Wardlow B,et al.Evaluation of a drought index based on thermal remote sensing of evapotranspiration over the continental U.S.[J].Journal of Climate,2011,24( 8):2025-2044． [12]Anderson M,Norman J M,Mecikalski J R,et al. Climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing:model formulation[J].Journal of Geophysical Research,2007,112(D10):D10117. [13]Mu Q,Zhao M,Kimball J S,et al.A remotely sensed global terrestrial drought severity index[J].Bulletin of the American Meteorological Society,2013,94(1):83-98. [14]Um M J,Kim Y,Park D.Evaluation and modification of the Drought Severity Index(DSI) in East Asia[J].Remote Sensing of Environment,2018,209:66-76. [15]Zhang X Q,Yamaguchi Y.Characterization and evaluation of MODIS-derived Drought Severity Index (DSI) for monitoring the 2009/2010 drought over southwestern China[J].Natural Hazards,2014,74(3):2129-2145. [16]白开旭,刘朝顺,施润和,等.2010年中国西南旱情的时空特征分析:基于MODIS数据归一化干旱指数[J].地球信息科学学报,2012,14(1):32-40. Bai K X,Liu S C,Shi R H,et al.Analysis of spatio-temporal characteristics of drought in southwest China in 2010 by using MODIS-based normalized difference drought index [J].Journal of Geo-information Science,2012,14(1):32-40.(in Chinese) [17]Sandholt I,Rasmussen K,Andersen J.A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status [J].Remote Sensing of Environment,2002,79(2-3):213-224. [18]齐述华,王长耀,牛铮.利用温度植被旱情指数(TVDI)进行全国旱情监测研究[J].遥感学报,2003,7(5):420-427. Qi S H,Wang C Y,Niu Z.Evaluating soil moisture status in China using the temperature/vegetation dryness index(TVDI) [J].Journal of Remote Sensing,2003,7(5):420-427.(in Chinese) [19]牟伶俐,吴炳方,闫娜娜,等.农业旱情遥感指数验证与不确定性分析[J].水土保持通报,2007,27(2):119-122. Mu L L,Wu B F,Yan N N,et al.Validation of agricultural drought indices and their uncertainty analysis[J].Bulletin of Soil and Water Conservation,2007,27(2):119-122.(in Chinese) [20]黄友昕,刘修国,沈永林,等.农业干旱遥感监测指标及其适应性评价方法研究进展[J].农业工程学报,2015,(16): 186-195. Huang Y X,Liu X G,Shen Y L,et al.Advances in remote sensing derived agricultural drought monitoring indices and adaptability evaluation methods[J].Transactions of the CSAE,2015,(16):186-195.(in Chinese) [21]Kogan F N.Droughts of the late 1980s in the United States as derived from NOAA Polar-Orbiting satellite data[J]. Bulletin of the American Meteorological Society,1995, 76(5):655-668. [22]徐钰,江丽华,张建军,等.气候变化对山东省农业生产的影响与对策[J].中国农业气象,2010,31(S1):23-26. Xu Y,Jiang L H,Zhang J J,et al.Impact of climate change on Shandong agricultural production and the adaption countermeasure[J].Chinese Journal of Agrometeorology, 2010,31(S1):23-26.(in Chinese) [23]黄健熙,张洁,刘峻明,等.基于遥感DSI指数的干旱与冬小麦产量相关性分析[J].农业机械学报,2015,(3):166-173. Huang J X,Zhang J,Liu J M,et al.Correlation analysis between drought and winter wheat yields based on remotely sensed drought severity index[J].Transactions of the Chinese Society for Agricultural Machinery,2015,(3):166-173.(in Chinese) [24]韩家琪.基于大数据思维的干旱监测方法研究[D].北京:中国农业科学院,2018:2-3. Han J Q.The research of drought monitoring based on big data[D].Beijing:Chinese Academy of Agricultural Sciences, 2018:2-3.(in Chinese) [25]张胜平,陈希村,苏传宝,等.2002年山东省严重干旱分析[J].水文,2004,24(3):42-45. Zhang S P,Chen X C,Sun C B,et al.Analysis of serious drought in Shandong Province in 2002[J].Hydrology,2004, 24(3):42-45.(in Chinese) [26]石春玲,李峰,孟祥新,等.山东省2010-2011年秋冬连旱特征及成因[J].干旱气象,2012,30(3):323-326. Shi C L,Li F,Meng X X,et al.Charateristics and causes of continuous drought from autumn 2010 to winter 2011 in Shandong province[J].Journal of Arid Meteorology,2012, 30(3):323-326.(in Chinese) [27]杨永刚,崔宁博,胡笑涛,等.中国三大灌区参考作物蒸散量温度法模型的修订与适应性评价[J].中国农业气象, 2018,39(6):357-369. Yang Y G,Cui N B,Hu X T,et al.Revision and adaptability evaluation of temperature-based methods for reference crop evapotranspiration in the three irrigation districts of China[J].Chinese Journal of Agrometeorology,2018,39(6): 357-369.(in Chinese)