自然资源学报 ›› 2017, Vol. 32 ›› Issue (7): 1145-1157.doi: 10.11849/zrzyxb.20160655

• 资源评价 • 上一篇    下一篇

综合考虑植被、温度和降水的四川省月尺度伏旱遥感监测

卢晓宁1, 张静怡1, 王玲玲2, 孟成真1, 曾德裕1   

  1. 1. 成都信息工程大学资源环境学院,成都 610225;
    2. 自贡市气象局,四川 自贡 643000
  • 收稿日期:2016-06-22 修回日期:2016-11-01 出版日期:2017-08-02 发布日期:2017-08-02
  • 作者简介:卢晓宁(1980- ),女,汉族,博士,副教授,主要从事资源环境遥感及水文小波分析方面研究。E-mail: lxn@cuit.edu.cn
  • 基金资助:
    国家自然科学基金(41401103); 四川省科技计划应用基础研究(2014JY0084)

Remote Sensing Monitoring of Summer Drought at Monthly-scale Considering Vegetation, Temperature and Precipitation in Sichuan Province

LU Xiao-ning1, ZHANG Jing-yi1, WANG Ling-ling2, MENG Cheng-zhen1, ZENG De-yu1   

  1. 1. College of Resources and Environment, Chengdu University of Information Technology, Chengdu 610225, China;
    2. Zigong Meteorological Bureau, Zigong 643000, China
  • Received:2016-06-22 Revised:2016-11-01 Online:2017-08-02 Published:2017-08-02
  • Supported by:
    National Natural Science Foundation of China, No. 41401103Sichuan Province Science and Technology Plan Applied Basic Research, No. 2014JY0084.

摘要: 基于四川农业大省的重要性、伏旱监测的必要性、复杂地貌背景区实测气象站点的有限性以及多云雾天气下高频伏旱遥感监测的困难性,综合降水(TRM)、植被(VCI)和地表热力状况(TCI)在旱情发生发展中的作用及体现,构建基于三者加权的伏旱遥感监测模型,并完成了2000—2015年7—8月四川省月尺度伏旱监测,从伏旱多年平均状态、演变趋势、频率三方面分析了四川省月尺度伏旱的时空演变规律。结果表明:1)SDCI(归一化旱情综合指数)=0.25×VCI+0.5×TRM+0.25×TCI模型是最适用于四川省的月尺度伏旱监测模型。该模型体现了在伏旱监测过程中考虑并突出降水的重要性。2)四川省7月平均旱情强度较强,8月旱情强度整体上有所减弱;各地貌类型区7、8月旱情强度则表现为川东盆地旱情强度最强,高原与盆地过渡区次之,川西高原最弱。3)四川省整体上7月伏旱呈减缓变化,8月旱情呈加重变化。川东盆地7月伏旱以加重变化为主,8月则为减缓变化;高原与盆地过渡区及川西高原7月伏旱以减缓变化为主,8月多表现为加重变化。4)四川省不同地貌背景区伏旱频率分布特征表现为川东盆地历年旱情发生频率最高,其次是高原与盆地过渡区、川西高原。川东盆地和高原与盆地过渡区以中度干旱较为频发,川西高原则多为轻度干旱。

关键词: 地貌区划, 伏旱, 四川省, 遥感监测

Abstract: Considering the comprehensive role of precipitation (TRM), vegetation (VCI) and surface thermal state (TCI) in the occurrence and development of droughts, a drought monitoring model is constructed at monthly scale in Sichuan Province based on remote sensing data during 2000-2015. Furthermore, the condition, evolution trend and frequency of droughts in different morphological areas are discussed. The results show as follows: 1) The SDCI modes is the most applicable model for drought monitoring at month scale in mountain areas, which can be described as SDCI=0.25×VCI+0.5×TRM+0.25×TCI. This model embodies the importance of precipitation in drought monitoring. 2) In temporal scale, the intensities of droughts in July are the strongest, while those in August become weaker. In spatial scale, the intensities of droughts in East Sichuan Basin are the strongest in both July and August, then followed by those in the transition area between Plateau and Basin, while those in plateau area in west of Sichuan is the weakest. 3) In greatly, the summer drought in July becomes weaker while the summer drought in August becomes more severe. However, it shows spatial difference. The summer drought in east Sichuan Province becomes aggravated in July but weaker in August; while in plateau and basin transition zone and western Sichuan Plateau, the summer drought becomes weaker in July but aggravated in August. 4) The frequency of occurrence of droughts is the highest in the eastern Sichuan Basin, followed by the plateau and basin transition zone, and then the western Sichuan Plateau. Moderate droughts occurred frequently in eastern Sichuan Basin and Plateau and Basin transition zone, while mild droughts occurred frequently in the Western Sichuan Plateau.

Key words: drought, geomorphic regionalization, remote sensing monitoring, Sichuan Province

中图分类号: 

  • P426.616