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中国农学通报 ›› 2019, Vol. 35 ›› Issue (5): 127-136.doi: 10.11924/j.issn.1000-6850.casb18090037

所属专题: 农业气象

• 资源 环境 生态 土壤 气象 • 上一篇    下一篇

基于气象和遥感的黄淮海平原干旱监测

卫 洁1, 武志涛1, 李强子2, 王红岩2, 赵龙才2   

  1. 1.山西大学黄土高原研究所;2.中国科学院遥感与数字地球研究所
  • 收稿日期:2018-09-07 修回日期:2019-01-11 接受日期:2018-11-28 出版日期:2019-02-13 发布日期:2019-02-13
  • 通讯作者: 王红岩
  • 基金资助:
    国家重点研发计划“主要粮食作物气象灾害监测技术体系研发”(2017YFD0300402);十三五重点研发计划“三大粮食作物气象灾害预警模 型研制”(2017YFD030040401);山西省自然科学青年基金(201701D221216)。

Drought Monitoring in the Huang-Huai-Hai Plain: Based on Meteorology and Remote Sensing

  • Received:2018-09-07 Revised:2019-01-11 Accepted:2018-11-28 Online:2019-02-13 Published:2019-02-13

摘要: 为了更全面、系统的对黄淮海平原进行干旱监测。本研究采用标准化降水蒸散指数(SPEI)以及温度植被干旱指数(TVDI)多角度分析了黄淮海平原的干旱时空变化。结果表明:1960—2016 年,黄淮海平原有微弱的干旱化趋势,其中有12 年发生年尺度干旱,且各地区干旱分布不均匀。黄淮海平原发生轻度干旱的频率最大,其次是中度干旱;2001—2016 年冬小麦主要生长期TVDI均趋于干旱化。不同生长期干旱等级与分布范围不同,2 月干旱发生强度大范围广,主要集中在研究区的北部和东部地区,3—5 月干旱强度减弱且面积减少,主要集中在河北省南部以及山东省的中东部地区。研究结果可对黄淮海平原的旱情进行监测和评价,并为农业生产,防旱避灾提供参考依据。

关键词: 海南岛, 海南岛, 高温日数, 高温热浪, 气候特征

Abstract: The paper aims to carry on drought monitoring in the Huang-Huai-Hai plain comprehensively and systematically. We analyzed the drought spatial and temporal change in the Huang-Huai-Hai plain by using standard precipitation evapotranspiration index (SPEI) and temperature vegetation drought index (TVDI). The results showed that: there was a weak trend of drought in the Huang-Huai-Hai plain from 1960 to 2016, among them, the annual scale drought occurred in 12 years and the drought distribution was uneven in different regions; the Huang-Huai-Hai plain had the highest frequency of mild drought, followed by moderate drought; TVDI in the main growth period of winter wheat tended to be arid from 2001 to 2016; the drought levels and distribution ranges were different in different growth periods; the drought in February was severe and the distribution was wide, mainly concentrated in the northern and eastern parts of the study area; the intensity and area of drought decreased from March to May, mainly in southern Hebei and eastern and central Shandong. The results can detect and evaluate the drought conditions in the Huang- Huai- Hai plain and provide reference for agricultural production and drought prevention.

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