用户名: 密码: 验证码:
基于多源信息的综合干旱监测研究进展与展望
详细信息    查看全文 | 推荐本文 |
  • 英文篇名:Research Progress and Prospect of Integrated Drought Monitoring Based on Multi-source Information
  • 作者:江笑薇 ; 白建军 ; 刘宪峰
  • 英文作者:Jiang Xiaowei;Bai Jianjun;Liu Xianfeng;College of Geography and Tourism,Shaanxi Normal University;National Demonstration Center for Experimental Geography Education,Shaanxi Normal University;
  • 关键词:干旱 ; 多源信息 ; 综合监测模型
  • 英文关键词:Drought;;Multisource information;;Integrated monitoring model
  • 中文刊名:DXJZ
  • 英文刊名:Advances in Earth Science
  • 机构:陕西师范大学地理科学与旅游学院;陕西师范大学地理学国家级实验教学示范中心;
  • 出版日期:2019-03-10
  • 出版单位:地球科学进展
  • 年:2019
  • 期:v.34;No.293
  • 基金:陕西省自然科学基金面上项目“土壤质地、作物类型及物候期对遥感干旱指数的影响”(编号:2016JM4016);; 国家自然科学基金项目“融合多要素及其时滞效应的农业干旱综合监测方法研究”(编号:41801333)资助~~
  • 语种:中文;
  • 页:DXJZ201903007
  • 页数:13
  • CN:03
  • ISSN:62-1091/P
  • 分类号:55-67
摘要
当前干旱监测已由单一要素向多要素综合方向转变,为了更好地促进综合干旱监测理论和相关模型的发展,全面系统地分析了综合干旱监测的概念内涵,梳理了综合干旱监测模型的构建方法,将其划分为水平衡模型法、线性模型组合法、多变量联合分布函数法、主成分分析法和多源信息数据挖掘法5种。进一步针对当前综合干旱监测存在的挑战与不足,提出了综合干旱监测模型未来应努力发展的方向,即在理论层面上:一是研究干旱内在机理与发生发展过程,明晰干旱影响因素间的关联关系,构建集成多要素的定量干旱综合监测模型;二是增强干旱监测模型的针对性,依据地域、下垫面、生长季等的不同,发展适宜的干旱监测模型;三是针对模型验证难的问题,构建干旱综合监测模型精度验证指标体系。在技术层面上,研究与干旱相关多源信息的集成与融合,提高其综合利用水平,为干旱监测提供丰富的数据支撑和技术保障。
        At present,drought monitoring has changed from single factor to multi-factor comprehensive direction.In order to better promote the development of comprehensive drought monitoring theory and related models,the conceptual connotation of comprehensive drought monitoring was comprehensively and systematically analyzed,and the construction methods of comprehensive drought monitoring model were sorted out,which were divided into five methods:Water balance model method,linear model combination method,multi-variable joint distribution function method,principal component analysis method and multi-source information data mining method.Furthermore,in view of the current challenges and shortcomings of integrated drought monitoring,the direction of future development of integrated drought monitoring model was put forward,that is,at the theoretical level:The first is to study the internal mechanism of drought and its occurrence and development process,clarify the relationship among the factors affecting drought,and construct a comprehensive quantitative drought monitoring model integrating multiple factors;The second is to enhance the pertinence of drought monitoring model,develop suitable drought monitoring model according to different regions,underlying surface,growing season,etc.;The third is to construct the precision verification index system of comprehensive monitoring model for drought in view of the difficulty of model validation.At the technical level,the integration and fusion of drought-related multi-source information is studied to improve its comprehensive utilization level and provide abundant data support and technical support for drought monitoring.
引文
[1]Guan Xiaodan,Shi Rui,Kong Xiangning,et al.An overview of researches on land-atmosphere interaction over semi-arid region under global changes[J].Advances in Earth Science,2018,33(10):995-1 004.[管晓丹,石瑞,孔祥宁,等.全球变化背景下半干旱区陆气机制研究综述[J].地球科学进展,2018,33(10):995-1 004.]
    [2]Zhang Xiang,Chen Nengcheng,Hu Chuli,et al.Spatio-temporal distribution of three kinds of flash droughts over agricultural land in China from 1983 to 2015[J].Advances in Earth Science,2018,33(10):1 048-1 057.[张翔,陈能成,胡楚丽,等.1983-2015年我国农业区域三类骤旱时空分布特征分析[J].地球科学进展,2018,33(10):1 048-1 057.]
    [3]Wilhite D A.Drought as a natural hazard:Concepts and definitions[J].Drought A Global Assessment,2000,1:3-18.
    [4]Dai A.Increasing drought under global warming in observations and models[J].Nature Climate Change,2012,3(1):52-58.
    [5]Wang Wenke,Gong Chengcheng,Zhang Zaiyong,et al.Research status and prospect of the subsurface hydrology and ecological effect in arid regions[J].Advances in Earth Science,2018,33(7):702-718.[王文科,宫程程,张在勇,等.旱区地下水文与生态效应研究现状与展望[J].地球科学进展,2018,33(7):702-718.]
    [6]Burton I.Climate change 2001:Impacts,adaptation,and vulnerability report of IPCC working group II[J].Agricultural&Forest Meteorology,2003,117(1):123-124.
    [7]Wu Bingfang,Meng Jihua,Li Qiangzi,et al.Review of overseas crop monitoring systems with remote sensing[J].Progress in Geophysics,2010,25(10):1 003-1 012.[吴炳方,蒙继华,李强子.国外农情遥感监测系统现状与启示[J].地球科学进展,2010,25(10):1 003-1 012.]
    [8]Hao Z,Singh V P.Drought characterization from a multivariate perspective:A review[J].Journal of Hydrology,2015,527:668-678.
    [9]Heim R R,Brewer M J.The global drought monitor portal:The foundation for a global drought information system[J].Earth Interactions,2012,16(15):1-28.
    [10]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):2 875-2 887.
    [11]Houborg R,Rodell M,Li B,et al.Drought indicators based on model assimilated GRACE terrestrial water storage observations[J].Water Resources Research,2012,48(7):2 515-2 521.
    [12]Yang Shaoe,Yan Nana,Wu Bingfang,et al.Advances in agricultural drought monitoring by remote sensing[J].Remote Sensing Information,2010,(1):103-109.[杨绍锷,闫娜娜,吴炳方.农业干旱遥感监测研究进展[J].遥感信息,2010,(1):103-109.]
    [13]Lin Qiao,Wang Pengxin,Zhang Shuyu,et al.Applicability of vegetation temperature index for drought monitoring at different time scales[J].Arid Zone Reasearch,2016,33(1):186-192.[林巧,王鹏新,张树誉,等.不同时间尺度条件植被温度指数干旱监测方法的适用性分析[J].干旱区研究,2016,33(1):186-192.]
    [14]LüXiaoran,Yin Xiaotian,Gong Edu,et al.Temporal and spatial analysis of agricultural drought in Yunnan Province based on vegetation condition index[J].Journal of Geo-information Science,2016,18(12):1 634-1 644.[吕潇然,尹晓天,宫阿都,等.基于植被状态指数的云南省农业干旱状况时空分析[J].地球信息科学学报,2016,18(12):1 634-1 644.]
    [15]Ding Yongjian,Zhang Shiqiang.Study on water internal recycle process and mechanism in typical mountain areas of inland basins,northwest China:Progress and challenge[J].Advances in Earth Science,2018,33(7):719-727.[丁永建,张世强.西北内陆河山区流域内循环过程与机理研究:现状与挑战[J].地球科学进展,2018,33(7):719-727.]
    [16]Zhang Lili,Zhou Junju,Zhang Hengwei,et al.Temporal and spatial patterns of climate drought-wet and drought event based on standard precipitation index in Shiyang River Basin[J].Acta Ecologica Sinica,2017,37(3):996-1 007.[张利利,周俊菊,张恒玮,等.基于SPI的石羊河流域气候干湿变化及干旱事件的时空格局特征研究[J].生态学报,2017,37(3):996-1 007.]
    [17]Sheffield J,Goteti G,Wen F,et al.A simulated soil moisture based drought analysis for the United States[J].Journal of Geophysical Research Atmospheres,2004,109(D24).DOI:10.1029/2004JD005182.
    [18]Narasimhan B,Srinivasan R.Development and evaluation of Soil Moisture Deficit Index(SMDI)and Evapotranspiration Deficit Index(ETDI)for agricultural drought monitoring[J].Agricultural&Forest Meteorology,2005,133(1):69-88.
    [19]Mendicino G,Senatore A,Versace P.A Groundwater Resource Index(GRI)for drought monitoring and forecasting in a mediterranean climate[J].Journal of Hydrology,2008,357(3/4):282-302.
    [20]Palmer W.Meteorological Drought[M].Washington DC:U.S.Department of Commerce Weather Bureau Research Paper,1965.
    [21]Huang Youxin,Liu Xiuguo,Shen Yonglin,et al.Advances in remote sensing derived agricultural drought monitoring indices and adaptability evaluation methods[J].Transactions of the Chinese Society of Agricultural Engineering,2015,31(16):186-195.[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,2015,31(16):186-195.]
    [22]Han Yuping,Zhang Gongjin,Wang Fuqiang.Research progress on monitoring indexes of agricultural drought[J].Journal of North China Institute of Water Conservancy and Hydroelectric Power,2013,34(1):74-78.[韩宇平,张功瑾,王富强.农业干旱监测指标研究进展[J].华北水利水电大学学报:自然科学版,2013,34(1):74-78.]
    [23]Steinemann A.Drought indicators and triggers:A stochastic approach to evaluation[J].Jawra Journal of the American Water Resources Association,2003,39(5):1 217-1 233.
    [24]Anderson M C,Hain C,Wardlow B,et al.Evaluation of drought indices based on thermal remote sensing of evapotranspiration over the continental United States[J].Journal of Climate,2011,24(8):2 025-2 044.
    [25]Alley W M.The Palmer Drought Severity Index:Limitations and assumptions[J].Journal of Applied Meteorology,1984,23(23):1 100-1 109.
    [26]Zhang B,Wu P,Zhao X,et al.A drought hazard assessment index based on the VIC-PDSI model and its application on the Loess Plateau,China[J].Theoretical&Applied Climatology,2013,114(1/2):125-138.
    [27]Shafer B,Dezman L.Development of a Surface Water Supply Index(SWSI)to assess the severity of drought conditions in snowpack runoff areas[C]//Paper Presented at Proceedings of the Western Snow Conference.Nevada:Western Snow Conference,1982.
    [28]Djerbouai S,Souag-Gamane D.Drought forecasting using neural networks,wavelet neural networks,and stochastic models:Case of the Algerois Basin in North Algeria[J].Water Resources Management,2016,30(7):2 445-2 464.
    [29]Heim R R J.A review of twentieth-century drought indices used in the United States[J].American Meteorological Society,2002,83(8):1 149-1 165.
    [30]McKee T B,Doesken N J,Kleist J.The relationship of drought frequency and duration to time scales[C]//Proceedings of the 8th Conference on Applied Climatology.Boston,MA:American Meteorological Society,1993:179-183.
    [31]Wells N,Goddard S,Hayes M J.A self-calibrating palmer drought severity index[J].Journal of Climate,2010,17(12):2 335-2 351.
    [32]Vicenteserrano S M,Beguería S,Lópezmoreno J I.A multiscalar drought index sensitive to global warming:The Standardized Precipitation Evapotranspiration Index[J].Journal of Climate,2010,23(7):1 696-1 718.
    [33]Zhang Qiang,Ju Xiaosheng,Li Shuhua.Comparison of three drought indices and determination of new indicators[J].Meteorological Science and Technology,1998,1(2):48-52.[张强,鞠笑生,李淑华.三种干旱指标的比较和新指标的确定[J].气象科技,1998,1(2):48-52.]
    [34]Wang Jinsong,Guo Jiangyong,Qing Jizu.Application of a kind of K Drought Index in the spring drought analysis in Northwest China[J].Journal of Natural Resources,2007,22(5):709-717.[王劲松,郭江勇,倾继祖.一种K干旱指数在西北地区春旱分析中的应用[J].自然资源学报,2007,22(5):709-717.]
    [35]Feng Jianshe,Wang Jianyuan,Wang Xintang,et al.The application of Relative Humidity Index to agricultural drought monitoring[J].Journal of Applied Meteorological Science,2011,22(6):766-772.[冯建设,王建源,王新堂,等.相对湿润度指数在农业干旱监测业务中的应用[J].应用气象学报,2011,22(6):766-772.]
    [36]Liu Zongyuan,Zhang Jianping,Luo Hongxia,et al.Temporal and spatial distribution of maize drought in southwest of China based on agricultural reference index for drought[J].Transactions of the Chinese Society of Agricultural Engineering,2014,30(2):105-115.[刘宗元,张建平,罗红霞,等.基于农业干旱参考指数的西南地区玉米干旱时空变化分析[J].农业工程学报,2014,30(2):105-115.]
    [37]Woli P.Quantifying Water Deficit and Its Effects on Crop Yields Using a Simple,Generic Drought Index[D].Gainesville,FL:The University of Florida,2010.
    [38]Zhang Yanhong,LüHouqiuan,Li Sen.Applicability of crop water deficit index in agricultural drought monitoring[J].Meteorological Science and Technology,2008,36(5):596-600.[张艳红,吕厚荃,李森.作物水分亏缺指数在农业干旱监测中的适用性[J].气象科技,2008,36(5):596-600.]
    [39]Xu Lingyan,Wang Huimin,Duan Qicai,et al.The temporal and spatial distribution of droughts during summer corn growth in Yunnan Province based on SPEI[J].Resources Science,2013,35(5):1 024-1 034.[许玲燕,王慧敏,段琪彩,等.基于SPEI的云南省夏玉米生长季干旱时空特征分析[J].资源科学,2013,35(5):1 024-1 034.]
    [40]Zhou Lei,Wu Jianjun,Zhang Jie.Remote sensing-based drought monitoring approach and research progress[J].Scientia Geographica Sinica,2015,35(5):630-636.[周磊,武建军,张洁.以遥感为基础的干旱监测方法研究进展[J].地理科学,2015,35(5):630-636.]
    [41]Peng C,Deng M,Di L,et al.Delivery of agricultural drought information via web services[J].Earth Science Informatics,2015,8(3):527-538.
    [42]Lawrimore J,Heim R R J,Svoboda M,et al.Beginning a New Era of drought monitoring across North America[J].Bulletin of the American Meteorological Society,2002,83(8):1 191-1 192.
    [43]Svoboda M,Lecomte D,Hayes M,et al.The drought monitor[J].Bulletin of the American Meteorological Society,2002,83(8):1 181-1 190.
    [44]Lettenmaier D,Mo K.Objective drought classification using multiple land surface models[J].Journal of Hydrometeorology,2013,15(3):990-1 010.
    [45]Xia Y.Calibration of LaD Model in the Northeast United States using observed annual streamflow[J].Journal of Hydrometeorology,2007,8(5):1 098-1 110.
    [46]Xia Y,Peters-Lidard C D,Mocko D,et al.Application of USDM statistics in NLDAS-2:Optimal blended NLDAS drought index over the continental United States[J].Journal of Geophysical Research Atmospheres,2014,119(6):2 947-2 965.
    [47]Xia Y,Ek M B,Mocko D,et al.Uncertainties,correlations,and optimal blends of drought indices from the NLDAS multiple land surface model ensemble[J].Journal of Hydrometeorology,2013,15(4):1 636-1 650.
    [48]Hayes M,Svoboda M,Wall N,et al.The Lincoln declaration on drought indices:Universal meteorological drought index recommended[J].Bulletin of the American Meteorological Society,2011,92(4):485-488.
    [49]Wardlow B D,Anderson M C,Verdin J P,et al.Remote Sensing of Drought:Innovative Monitoring Approaches[M].Boca Raton:CRC Press,2012:591-594.
    [50]Li Yu,Liu Yuan.Long-term reconstructions and simulations of the hydrological cycle in the inland rivers,arid China:A case study of the Shiyang River drainage basin[J].Advances in Earth Science,2017,32(7):731-743.[李育,刘媛.干旱区内流河流域长时间尺度水循环重建与模拟--以石羊河流域为例[J].地球科学进展,2017,32(7):731-743.]
    [51]Zargar A,Sadiq R,Naser B,et al.A review of drought indices[J].Environmental Reviews,2011,19(1):333-349.
    [52]Wang Pengxin,Gong Jianya,Li Xiaowen.Vegetation_temperature condition index and its application for drought monitoring[J].Geomatics and Information Science of Wuhan University,2001,26(5):412-418.[王鹏新,龚健雅,李小文.条件植被温度指数及其在干旱监测中的应用[J].武汉大学学报:信息科学版,2001,26(5):412-418.]
    [53]Xiao Xiongxin,Zhang Tingjun.Passive microwave remote sensing of snow depth and snow water equivalent:Overview[J].Advances in Earth Science,2018,33(6):590-605.[肖雄新,张廷军.基于被动微波遥感的积雪深度和雪水当量反演研究进展[J].地球科学进展,2018,33(6):590-605.]
    [54]Fan Liaosheng,Jiang Jihong,Sheng Hui,et al.Reverse of soil moisture for smmer dought priod in Hangzhou by uings TVDImethod[J].Chinese Journal of Agrometeorology,2009,30(2):230-234.[范辽生,姜纪红,盛晖,等.利用温度植被干旱指数(TVDI)方法反演杭州伏旱期土壤水分[J].中国农业气象,2009,30(2):230-234.]
    [55]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):2 875-2 887.
    [56]Zhang A,Jia G.Monitoring meteorological drought in semiarid regions using multi-sensor microwave remote sensing data[J].Remote Sensing of Environment,2013,134(7):12-23.
    [57]Hao Z,Singh V.Integrating entropy and copula theories for hydrologic modeling and analysis[J].Entropy,2015,17(4):2 253-2 280.
    [58]Li Qiangzi,Yan Nana,Zhang Feifei,et al.Drought monitoring and its impacts assessment in Southwest China using remote sensing in the spring of 2010[J].Acta Geographica Sinica,2010,65(7):771-780.[李强子,闫娜娜,张飞飞,等.2010年春季西南地区干旱遥感监测及其影响评估[J].地理学报,2010,65(7):771-780.]
    [59]SatishsIyengar.Multivariate models and dependence concepts[J].Technometrics,1997,40(4):353.
    [60]Sklar A.Random variables,joint distribution functions,and copulas[J].Kybernetika,1973,9(6):449-460.
    [61]Salvadori G,Michele C D.Frequency analysis via copulas:Theoretical aspects and applications to hydrological events[J].Water Resources Research,2004,40(12):229-244.
    [62]Salvadori G,Michele C D.On the use of copulas in hydrology:Theory and practice[J].Journal of Hydrologic Engineering,2007,12(4):369-380.
    [63]Hao Z,Singh V P.Entropy-Based method for bivariate drought analysis[J].Journal of Hydrologic Engineering,2013,18(7):780-786.
    [64]Beersma J J,Buishand T A.Joint probability of precipitation and discharge deficits in the Netherlands[J].Water Resources Research,2004,40(12):87-87.
    [65]Kao S C,Rao S G.A copula-based joint deficit index for droughts[J].Journal of Hydrology,2010,380(1/2):121-134.
    [66]Hao Z,Aghakouchak A.Multivariate Standardized Drought Index:A parametric multi-index model[J].Advances in Water Resources,2013,57(9):12-18.
    [67]Hao Z,Hao F,Singh V P,et al.A theoretical drought classification method for the multivariate drought index based on distribution properties of standardized drought indices[J].Advances in Water Resources,2016,92:240-247.
    [68]Hao Z,Aghakouchak A.Multivariate Standardized Drought Index:A parametric multi-index model[J].Advances in Water Resources,2013,57(9):12-18.
    [69]Ma M,Ren L,Singh V P,et al.New variants of the Palmer drought scheme capable of integrated utility[J].Journal of Hydrology,2014,519:1 108-1 119.
    [70]Pan M,Yuan X,Wood E F.A probabilistic framework for assessing drought recovery[J].Geophysical Research Letters,2013,40(14):3 637-3 642.
    [71]Hao Z,Singh V P.Modeling multisite streamflow dependence with maximum entropy copula[J].Water Resources Research,2013,49(10):7 139-7 143.
    [72]Keyantash J A,Dracup J A.An aggregate drought index:Assessing drought severity based on fluctuations in the hydrologic cycle and surface water storage[J].Water Resources Research,2004,40(9):333-341.
    [73]Wilks D S.Statistical methods in the atmospheric sciences[J].Technometrics,2011,38(4):402.
    [74]Du L,Tian Q,Yu T,et al.A comprehensive drought monitoring method integrating MODIS and TRMM data[J].International Journal of Applied Earth Observations&Geoinformation,2013,23(1):245-253.
    [75]Li Q,Li P,Li H,et al.Drought assessment using a multivariate drought index in the Luanhe River Basin of Northern China[J].Stochastic Environmental Research&Risk Assessment,2015,29(6):1 509-1 520.
    [76]Meyer S J,Hubbard K G,Wilhite D A.The relationship of climatic indices and variables to corn(maize)yields:A principal components analysis[J].Agricultural&Forest Meteorology,1991,55(1/2):59-84.
    [77]Hao C,Zhang J,Yao F.Combination of multi-sensor remote sensing data for drought monitoring over Southwest China[J].International Journal of Applied Earth Observations&Geoinformation,2015,35:270-283.
    [78]Rajsekhar D,Singh V P,Mishra A K.Multivariate drought index:An information theory based approach for integrated drought assessment[J].Journal of Hydrology,2015,526(11/12):164-182.
    [79]Wylie B K,Fosnight E A,Gilmanov T G,et al.Adaptive datadriven models for estimating carbon fluxes in the Northern Great Plains[J].Remote Sensing of Environment,2007,106(4):399-413.
    [80]Du Lingtong.Drought Monitoring Model Based on Multi-Source Spatial Information and Its Application[D].Nanjing:Nanjing University,2013.[杜灵通.基于多源空间信息的干旱监测模型构建及其应用研究[D].南京:南京大学,2013.]
    [81]Tadesse T,Wilhite D A,Harms S K,et al.Drought monitoring using data mining techniques:A case study for Nebraska,USA[J].Natural Hazards,2004,33(1):137-159.
    [82]Wardlow B D.The Vegetation Drought Response Index(VegDRI):A new integrated approach for monitoring drought stress in vegetation[J].Giscience&Remote Sensing,2008,45(1):16-46.
    [83]Tadesse T,Wardlow B D,Brown J F,et al.Assessing the vegetation condition impacts of the 2011 drought across the U.S.Southern Great Plains using the Vegetation Drought Response Index(VegDRI)[J].Journal of Applied Meteorology and Climatology,2015,54(1):153-169.
    [84]Du Lingtong,Tian Qingjiu,Wang Lei,et al.A synthesized drought monitoring model based on multi-sourc remote sensing data[J].Transactions of the Chinese Society of Agricultural Engineering,2014,30(9):126-132.[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,2014,30(9):126-132.]

© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号

地址:北京市海淀区学院路29号 邮编:100083

电话:办公室:(+86 10)66554848;文献借阅、咨询服务、科技查新:66554700