地理科学进展 ›› 2020, Vol. 39 ›› Issue (10): 1758-1769.doi: 10.18306/dlkxjz.2020.10.014

• 研究综述 • 上一篇    下一篇

基于土壤水分的农业干旱监测研究进展

吴泽棉1,2,3(), 邱建秀1,2,3,*(), 刘苏峡4,5, 莫兴国4,5   

  1. 1.中山大学地理科学与规划学院,广东省城市化与地理环境空间模拟重点实验室,广州 510275
    2.广东省地质过程与矿产资源探查重点实验室,广州 510275
    3.南方海洋科学与工程广东省实验室(珠海),广东 珠海 519000
    4.中国科学院地理科学与资源研究所,陆地水循环及地表过程重点实验室,北京 100101
    5.中国科学院大学资源与环境学院/中丹学院,北京 100049
  • 收稿日期:2019-12-19 修回日期:2020-05-25 出版日期:2020-10-28 发布日期:2020-10-27
  • 通讯作者: 邱建秀
  • 作者简介:吴泽棉(1996— ),男,广东汕头人,硕士生,研究方向为农业干旱监测。E-mail: wuzm5@mail2.sysu.edu.cn
  • 基金资助:
    国家自然科学基金面上项目(41971031);国家重点研发计划项目(2018YFE0106500)

Advances in agricultural drought monitoring based on soil moisture

WU Zemian1,2,3(), QIU Jianxiu1,2,3,*(), LIU Suxia4,5, MO Xingguo4,5   

  1. 1. Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
    2. Key Laboratory of Mineral Resource & Geological Processes of Guangdong Province, Guangzhou 510275, China
    3. Southern Laboratory of Ocean Science and Engineering (Guangdong, Zhuhai), Zhuhai 519000, Guangdong, China
    4. Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    5. College of Resources and Environment / Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2019-12-19 Revised:2020-05-25 Online:2020-10-28 Published:2020-10-27
  • Contact: QIU Jianxiu
  • Supported by:
    National Natural Science Foundation of China(41971031);National Key R&D Program of China(2018YFE0106500)

摘要:

土壤水分是评估农业干旱的关键变量。然而长期以来,由于缺乏大范围、高精度、长时间的土壤水分观测数据,基于土壤水分的农业干旱监测在实际应用中受到限制。近年来,随着遥感观测技术的发展,土壤水分数据的时空覆盖度和产品精度显著提升,基于土壤水分的农业干旱监测逐渐吸引更多的关注。论文系统归纳了站点观测与微波遥感观测的土壤水分数据特性,综述了目前基于土壤水分的3种农业干旱监测指标:基于长时间土壤水分序列的干旱指标、基于土壤水分与土壤水力学参数的干旱指标和基于土壤水分等多变量综合的干旱指标。最后,论文从提高土壤水分数据空间分辨率、加强农业干旱机制研究与完善农业干旱监测体系三方面提出基于土壤水分的农业干旱监测所面临的挑战与机遇,以期为未来的相关研究提供参考。

关键词: 农业干旱, 土壤水分, 干旱监测指标

Abstract:

Soil moisture (SM) is a key variable for assessing agricultural drought. For a long time, due to the lack of large-scale, high-precision, continuous SM measurements, SM-based agricultural drought monitoring has been limited in application. With the recent development of remote sensing technologies, the spatial-temporal coverage and accuracy of SM data have been improved significantly. Agricultural drought monitoring indicators using SM have received increasing attention. This study systematically summarized the main characteristics of the SM data sets from multiple sources including in-situ measurements and microwave remote sensing, and further reviewed the three categories of agricultural drought indicators based on SM: 1) drought indicators based on long-term SM; 2) drought indicators based on both SM and soil hydraulic parameters; and 3) integrated drought indicators based on multiple variables including SM. Finally, with the aim of providing some reference for future research, we envisioned the challenges and opportunities for agricultural drought monitoring from the perspectives of 1) the development of SM data; 2) the strengthening of agricultural drought mechanism research; and 3) the improvement of agricultural drought monitoring systems.

Key words: agricultural drought, soil moisture, drought monitoring indicators