王思琪,张翔,陈能成.三种复合干旱指数在我国三大农业主产区的适用性分析[J].干旱地区农业研究,2020,38(1):243~254
三种复合干旱指数在我国三大农业主产区的适用性分析
Applicability analysis of three compound drought indexes in three major agricultural production areas in China
  
DOI:10.7606/j.issn.1000-7601.2020.01.32
中文关键词:  农业干旱  复合干旱指数  农业主产区  冬小麦  夏玉米  水稻  适用性分析
英文关键词:agricultural drought  compound drought indexes  agricultural major production area  winter\|wheat  summer\|corn  rice  applicability analysis
基金项目:中国气象局干旱气象科学研究开放基金(IAM201704);国家自然科学基金(41801339)
作者单位
王思琪 中国气象局兰州干旱气象研究所甘肃省干旱气候变化与减灾重点实验室中国气象局干旱气候变化与减灾重点开放实验室甘肃 兰州 730020武汉大学测绘遥感信息工程国家重点实验室湖北 武汉 430079 
张翔 中国气象局兰州干旱气象研究所甘肃省干旱气候变化与减灾重点实验室中国气象局干旱气候变化与减灾重点开放实验室甘肃 兰州 730020武汉大学测绘遥感信息工程国家重点实验室湖北 武汉 430079 
陈能成 武汉大学测绘遥感信息工程国家重点实验室湖北 武汉 430079地球空间信息技术协同创新中心湖北 武汉 430079 
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中文摘要:
      利用多源遥感数据,通过与SPI-3的线性相关分析及实际旱情的对比,研究了三种复合干旱指数(PADI、OVDI、TVDI)在我国三类(冬小麦、夏玉米、水稻)农业主产区的适用性。结果表明:三种复合干旱指数不适用于水稻区的干旱监测;在三类农业区的干旱监测中,指数PADI、TVDI对干旱量化结果较为准确(干旱持续时间、严重程度、空间分布等),OVDI对旱情严重程度的判断偏重;指数TVDI、OVDI适合大范围的旱情监测,且TVDI监测结果更为准确;PADI指数由于结合了作物信息,对干旱的量化更全面,适宜于小范围的旱情监测,但对输入信息的要求较高。
英文摘要:
      In this paper, the applicability of three compound drought indexes (PADI, OVDI, and TVDI) in three main agricultural production areas (winter wheat, summer corn, and rice) in China was analyzed using multi\|source remote sensing data, through the linear correlation analysis with SPI-3 and comparison with the actual drought situation. The results showed that: (1) The three kinds of compound drought indexes were not suitable for drought monitoring in rice region. (2) In the drought monitoring of three types of agricultural areas, PADI and TVDI were more accurate in quantifying the drought situation (E.g. duration, severity, and spatial distribution), while OVDI was overvalued in judging the severity of drought. (3) TVDI and OVDI were suitable for large\|scale drought monitoring, while the monitoring results of TVDI were more accurate. (4) Because of the combination of crop information, PADI was more comprehensive in drought quantification and suitable for small\|range drought monitoring, which requires higher input information.
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