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基于VCI的2003—2017年广东省干旱时空变化特征分析

李维娇 王云鹏

李维娇, 王云鹏. 基于VCI的2003—2017年广东省干旱时空变化特征分析[J]. 华南师范大学学报(自然科学版), 2020, 52(3): 85-91. doi: 10.6054/j.jscnun.2020048
引用本文: 李维娇, 王云鹏. 基于VCI的2003—2017年广东省干旱时空变化特征分析[J]. 华南师范大学学报(自然科学版), 2020, 52(3): 85-91. doi: 10.6054/j.jscnun.2020048
LI Weijiao, WANG Yunpeng. An Analysis of the Spatial-Temporal Characteristics of Drought in Guangdong Based on Vegetation Condition Index from 2003 to 2017[J]. Journal of South China normal University (Natural Science Edition), 2020, 52(3): 85-91. doi: 10.6054/j.jscnun.2020048
Citation: LI Weijiao, WANG Yunpeng. An Analysis of the Spatial-Temporal Characteristics of Drought in Guangdong Based on Vegetation Condition Index from 2003 to 2017[J]. Journal of South China normal University (Natural Science Edition), 2020, 52(3): 85-91. doi: 10.6054/j.jscnun.2020048

基于VCI的2003—2017年广东省干旱时空变化特征分析

doi: 10.6054/j.jscnun.2020048
基金项目: 

国家自然科学基金委-广东联合基金重点项目 U1901215

详细信息
    通讯作者:

    王云鹏,研究员, Email:wangyp@gig.ac.cn

  • 中图分类号: X43

An Analysis of the Spatial-Temporal Characteristics of Drought in Guangdong Based on Vegetation Condition Index from 2003 to 2017

  • 摘要: 为了研究近年来广东省干旱情况的时空变化特征,利用8天250 m分辨率的MODIS地表反射率数据,计算了2003—2017年广东省植被状态指数(Vegetation Condition Index, VCI),并以VCI为干旱指标,采用趋势分析、频率分析和MK检验等方法,对全省干旱的时空特征和趋势进行了分析.结果表明:广东省2003—2017年间的VCI整体呈现显著的上升趋势,80.3%以上区域的VCI变化趋势倾向率为正值,表示全省大部分地区旱情逐年减轻;全省大部分区域发生干旱的频率在0.2~0.6之间,以中旱为主(发生频率:0.2~0.4),重旱较少出现(发生频率:0~0.2);广东省总体干旱面积占比逐年降低,中旱和重旱面积占比也呈现下降的趋势;2017年与2003年相比,总体干旱面积占比减少了39.5%;总体上看,广东省近年来干旱严重程度在逐年减轻,干旱面积也逐年减少.
  • 图  1  研究区的数字地形图

    Figure  1.  The digital elevation model of the study area

    图  2  2003—2017年广东省的VCI及其距平指数变化趋势

    Figure  2.  The trends of VCI and AVCI in Guangdong from 2003 to 2017

    图  3  2003—2017年广东省VCI的MK检验结果

    Figure  3.  The Mann-Kendall mutation analysis results of VCI in Guangdong from 2003 to 2017

    图  4  2003—2017年广东省VCI变化趋势的空间分布

    Figure  4.  The spatial distribution of the VCI trend from 2003 to 2017 in Guangdong

    图  5  广东省干旱发生频率空间分布

    Figure  5.  The spatial distribution of drought frequency in Guangdong

    图  6  2003—2017年广东省干旱面积占比的距平指数变化

    Figure  6.  The AVCI of proportion of drought area in Guangdong from 2003 to 2017

    表  1  广东省2003—2017年干旱面积占比

    Table  1.   The proportion of drought-affected area in Guangdong from 2003 to 2017  %

    年份 干旱占比 中旱占比 重旱占比
    2003 46.1 34.2 11.9
    2004 48.8 36.0 12.8
    2005 49.3 34.6 14.7
    2006 46.2 33.6 12.6
    2007 45.5 33.4 12.1
    2008 43.8 32.5 11.3
    2009 42.4 32.1 10.3
    2010 39.2 28.7 10.5
    2011 43.2 32.8 10.4
    2012 37.8 27.4 10.4
    2013 36.5 25.8 10.7
    2014 38.8 28.4 10.4
    2015 33.6 23.5 10.1
    2016 30.4 20.6 9.8
    2017 27.9 20.2 7.7
    下载: 导出CSV
  • [1] 顾颖, 倪深海, 林锦, 等.我国旱情旱灾情势变化及分布特征[J].中国水利, 2011(13):59-62. http://d.old.wanfangdata.com.cn/Periodical/zhonggsl201113009

    GU Y, NI S H, LIN J, et al. China's drought disaster situation changes and distribution characteristics[J]. China Water Resource, 2011(13):59-62. http://d.old.wanfangdata.com.cn/Periodical/zhonggsl201113009
    [2] 刘佳.农业干旱遥感监测及其应用[J].城市与减灾, 2018(6):47-51. http://d.old.wanfangdata.com.cn/Periodical/ahnykx201636080
    [3] SEHGAL V, SRIDHAR V, TYAGI A. Stratified drought analysis using a stochastic ensemble of simulated and in-situ soil moisture observations[J]. Journal of Hydrology, 2017, 545:226-250. doi: 10.1016/j.jhydrol.2016.12.033
    [4] 杨帅, 于志岗, 苏筠.中国气象干旱的空间格局特征(1951-2011)[J].干旱区资源与环境, 2014, 28(10):54-60. http://d.old.wanfangdata.com.cn/Periodical/ghqzyyhj201410010

    YANG S, YU Z G, SU Y. Spatial pattern of meteorological drought in China(1951-2011)[J]. Journal of Arid Land Resources and Environment, 2014, 28(10):54-60. http://d.old.wanfangdata.com.cn/Periodical/ghqzyyhj201410010
    [5] COOK E R, JACOBY G C. Tree-ring-drought relationships in the Hudson Valley, New York[J]. Science, 1977, 198:399-401. doi: 10.1126/science.198.4315.399
    [6] 杨波, 马苏, 王彬武, 等.基于MODIS的湖南省农业干旱监测模型[J].自然资源学报, 2012, 27(10):168-176. doi: 10.11849/zrzyxb.2012.10.016

    YANG B, MA S, WANG B W, et al. Agricultural drought monitoring model based on MODIS data in Hunan Pro-vince[J]. Journal of Natural Resources, 2012, 27(10):168-176. doi: 10.11849/zrzyxb.2012.10.016
    [7] CHOI M, JACOBS J M, ANDERSON M C, et al. Evaluation of drought indices via remotely sensed data with hydrological variable[J]. Journal of Hydrology, 2013, 476:265-273. doi: 10.1016/j.jhydrol.2012.10.042
    [8] 侯英雨, 何延波, 柳钦火, 等.干旱监测指数研究[J].生态学杂志, 2007, 26(6):120-125. http://d.old.wanfangdata.com.cn/Periodical/dlxygtyj201404010
    [9] BAJGIRAN P R, DARVISHSEFAT A A, KHALILI A, et al. Using AVHRR-based vegetation indices for drought monitoring in the Northwest of Iran[J]. Journal of Arid Environments, 2008, 72(6):1086-1096. doi: 10.1016/j.jaridenv.2007.12.004
    [10] ZHU J, SHI J C, CHU H F, et al. An improvement of me-thod for monitoring drought using remote sensing[C]//Proceedings of IEEE International Geoscience & Remote Sensing Symposium. Cape Town, South Africa: IEEE, 2009: 706-709.
    [11] LIANG L, ZHAO S H, QIN Z H, et al. Drought change trend using MODIS TVDI and its relationship with climate factors in China from 2001 to 2010[J]. Journal of Integrative Agriculture, 2014, 13(7):1501-1508. doi: 10.1016/S2095-3119(14)60813-3
    [12] KOGAN F N. Application of vegetation index and brightness temperature for drought detection[J]. Advances in Space Research, 1995, 15(11):91-100. doi: 10.1016/0273-1177(95)00079-T
    [13] LIU W T, KOGAN F N. Monitoring regional drought using the Vegetation Condition Index[J]. International Journal of Remote Sensing, 1996, 17(14):2761-2782. doi: 10.1080/01431169608949106
    [14] QIAN X J, LIANG L, SHEN Q, et al. Drought trends based on the VCI and its correlation with climate factors in the agricultural areas of China from 1982 to 2010[J]. Environmental Monitoring & Assessment, 2016, 188:639/1-13. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=5f67108b2146c6d295b492cace0fbab6
    [15] 廖义善, 李定强, 卓慕宁, 等.近50年广东省降雨时空变化及趋势研究[J].生态环境学报, 2014, 23(2):223-228. doi: 10.3969/j.issn.1674-5906.2014.02.007

    LIAO Y S, LI D Q, ZHUO M N, et al. Spatio-temporal variation and tendency of rainfall in Guangdong Province during past 50 years[J]. Ecology and Environment Sciences, 2014, 23(2):223-228. doi: 10.3969/j.issn.1674-5906.2014.02.007
    [16] 姜春, 吴志峰, 程炯, 等.广东省土地覆盖变化对植被净初级生产力的影响分析[J].自然资源学报, 2016, 31(6):961-972. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zrzyxb201606006

    JIANG C, WEI Z F, CHENG J, et al. Analyzing the effects of land cover change on vegetation net primary productivity in Guangdong Province[J]. Journal of Natural Resources, 2016, 31(6):961-972. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=zrzyxb201606006
    [17] ROUSE J W, HAAS R H, SEHELL J A. Monitoring vegetation systems in the great plains with ERTS[J]. Nasa Special Publication, 1973, 351:351-309. http://cn.bing.com/academic/profile?id=34151072684634c938d788c94b39af51&encoded=0&v=paper_preview&mkt=zh-cn
    [18] 陈效逑, 谭仲军, 徐成新.利用植物物候和遥感资料确定中国北方的生长季节[J].地学前缘, 2000, 7(S2):196. http://www.cnki.com.cn/Article/CJFDTotal-DXQY2000S2028.htm
    [19] KOGAN F N. Remote sensing of weather impacts on vegetation in non-homogeneous areas[J]. International Journal of Remote Sensing, 1990, 11(8):1405-1419. doi: 10.1080/01431169008955102
    [20] LIANG L, SUN Q, LUO X, et al. Long-term spatial and temporal variations of vegetative drought based on vegetation condition index in China[J]. Ecosphere, 2017, 8(8):e01919/1-15. http://cn.bing.com/academic/profile?id=bd1301e4595eea31a6d005c29cf4addd&encoded=0&v=paper_preview&mkt=zh-cn
    [21] 梁亮, 王家慧, 黄婷, 等.基于VCI的1982~2016年中国南方地区干旱时空变化特征分析[J].测绘科学技术, 2018, 6(3):231-238. doi: 10.12677/GST.2018.63026

    LIANG L, WANG J H, HUANG T, et al. Analysis of the spatial-temporal variation characteristics of drought based on vegetation condition index in southern China from 1982 to 2016[J]. Geomatics Science and Technology, 2018, 6(3):231-238. doi: 10.12677/GST.2018.63026
    [22] 魏风英.现代气候统计诊断与预测技术[M].北京:气象出版社, 1999.
    [23] 俞文政, 刘海涛.近35年深圳市气候变化与城市化发展关联性研究[J].华南师范大学学报(自然科学版), 2018, 50(1):85-91. http://journal-n.scnu.edu.cn/article/id/3952

    YU W Z, LIU H T. Correlation between urbanization and climate change of Shenzhen in nearly 35 years[J]. Journal of South China Normal University(Natural Science Edition), 2018, 50(1):85-91. http://journal-n.scnu.edu.cn/article/id/3952
    [24] 丘蔚天, 韩学军, 陈艳芳.粤北地区持续降水和持续干旱特性分析[J].广东水利水电, 2005(5):58-61. http://d.old.wanfangdata.com.cn/Periodical/gdslsd200505025
    [25] 纪旭霞, 吕丽慧.粤东沿海地区2004年干旱成因分析[J].西部探矿工程, 2008, 20(1):89-90. doi: 10.3969/j.issn.1004-5716.2008.01.036
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  • 收稿日期:  2020-01-21
  • 刊出日期:  2020-06-25

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