研究论文

珠江流域重大干旱事件时空发展过程反演研究

  • 黄强 ,
  • 陈子燊 ,
  • 唐常源 ,
  • 李绍峰
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  • 1. 深圳职业技术学院建筑与环境工程学院,广东 深圳 518055
    2. 中山大学环境科学与工程学院,广东 广州 510275
    3. 中山大学地理科学与规划学院,广东 广州 510275
黄强(1989-),男,广东清远人,讲师,主要从事水灾害风险、环境同位素研究. E-mail:huangq52@szpt.edu.cn

收稿日期: 2019-06-30

  修回日期: 2019-08-25

  网络出版日期: 2019-12-05

基金资助

国家自然科学基金项目“珠江三角洲集约型农业区河畔湿地土壤地下水中磷的迁移转化规律及其影响因素”(41877470);深圳市科技计划项目“供水系统贾第虫;隐孢子虫迁移规律及灭活研究”(JCYJ20160226092135176)

Monitoring the Spatio-temporal Process of Severe Droughts in the Pearl River Basin

  • Qiang Huang ,
  • Zishen Chen ,
  • Changyuan Tang ,
  • Shaofeng Li
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  • 1. School of Construction and Environmental Engineering, Shenzhen Polychnic, Shenzhen 518055, China
    2. School of Environmental Science and Engineering, Sun Yat-sen University, Guangzhou 510275, China
    3. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
Huang Qiang (1989-), male, Qingyuan City, Guangdong Province, Lecturer. Research areas include water disaster risk and environmental isotope. E-mail:huangq52@szpt.edu.cn

Received date: 2019-06-30

  Revised date: 2019-08-25

  Online published: 2019-12-05

Supported by

the National Natural Science Foundation of China “Migration and transformation of phosphorus in soil groundwater of riverside wetland in intensive agricultural area of Pearl River Delta and its influencing factors”(41877470);The Science and Technology Plan Project of Shenzhen “Study on the migration and inactivation of Giardia and Cryptosporidium in water supply system”(JCYJ20160226092135176)

摘要

利用中国气象局发布的0.5°×0.5°网格数据集,开展珠江流域1963年和2009年两场重大干旱事件时空发展过程的反演研究。采用以标准化降水与蒸散发指数为基础建立的联合干旱指数(JDI),与标准化后的有效降水指数(SWAP)作为干旱定量化描述的指标。相较于单点监测,利用网格数据计算的JDI和SWAP较好地考虑了干旱发展的空间属性,可以反映干旱发生—发展—高峰—消退的时空过程。JDI的监测结果反映的是不同月份的平均状态,能够直观地反映干旱发展的总体过程,而SWAP则可以提供短时间尺度的干旱监测,可以更细致地监测干旱发展的详细过程,为干旱出现、高峰和结束时间的定位提供了有效手段。JDI和SWAP的监测结果与实际旱情相符,可作为珠江流域干旱时空发展过程监测的理想指标。

本文引用格式

黄强 , 陈子燊 , 唐常源 , 李绍峰 . 珠江流域重大干旱事件时空发展过程反演研究[J]. 地球科学进展, 2019 , 34(10) : 1050 -1059 . DOI: 10.11867/j.issn.1001-8166.2019.10.1050

Abstract

The 0.5°×0.5° grid dataset issued by the China National Meteorological Administration was used to study the spatio-temporal process of the two severe droughts in 1963 and 2009 for the Pearl River Basin. Two effective drought indexes named Joint Drought Index (JDI) and Standardized Weighted Average Precipitation (SWAP) were used as indicators for quantitative description of drought. Better considering the spatial property of drought, the results derived from the JDI and SWAP calculated by the grid dataset can reflect the whole process of drought occurrence, development, peak and recession. The monitoring results of JDI represent the average state of drought in a month, which can directly reflect the overall drought process, while the results of SWAP provide a more clear picture for drought monitoring on a short time scale, especially in detecting the beginning, peak and termination time of drought. Both the results of JDI and SWAP are consistent with the actual droughts recorded in history. Therefore, JDI and SWAP can be used together as ideal indicators for drought monitoring in the Pearl River Basin.

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