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基于多源數(shù)據(jù)的武陵山區(qū)干旱監(jiān)測研究
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“十二五”國家科技支撐計劃資助項目(2012BAH33B02)


Study on Drought Monitoring of Wuling Mountain Area Based on Multi-source Data
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    摘要:

    由于地表復雜性和氣候環(huán)境等因素影響,針對采用遙感指標進行旱情監(jiān)測具有一定局限性,,利用EOS/MODIS數(shù)據(jù)建立遙感旱情監(jiān)測指標——溫度植被干旱指數(shù)(TVDI),,結合地面氣象因子的降水量距平指數(shù)(PPAI),構建線性加權形式的綜合干旱監(jiān)測指數(shù)(IMDI),,應用該指數(shù)和TVDI指數(shù)在2010年4月中旬和2011年4月下旬對武陵山區(qū)進行了干旱監(jiān)測試驗研究,,通過與10cm深度土壤水分擬合及標準化降水指數(shù)(SPI)關系對比分析,認為IMDI和TVDI能夠進行該區(qū)域的干旱監(jiān)測,,IMDI較TVDI更具穩(wěn)定性,,而SPI在干旱發(fā)生時易加重旱情判定結果。

    Abstract:

    For the complexity of land surface and the climatic variation, the result of drought monitoring maybe couldn’t give us satisfaction only by using the single remote sensing index. A new solution of the problem was put forward. An integrated linear weighted drought monitoring index (IMDI) was suggested, which is incorporated with remote sensing index (TVDI)constructed by EOS/MODIS data and meteorological factor, named percent of precipitation departure (PPAI). Two periods had been selected to monitor drought in Wuling Mountain area including mid- and the late April in 2011. By comparing with soil moisture in 10cm depth from the observatories around the same area in 2010 and 2011, together with contrasting the correlations with SPI, IMDI and TVDI were confirmed to be able to monitor drought distribution in such a large and complicated area and IMDI is superior to TVDI. However, drought monitored by SPI may be more serious than that of actual situation.

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孫麗,王飛,李保國,陳曦煒.基于多源數(shù)據(jù)的武陵山區(qū)干旱監(jiān)測研究[J].農業(yè)機械學報,2014,45(1):246-252. Sun Li, Wang Fei, Li Baoguo, Chen Xiwei. Study on Drought Monitoring of Wuling Mountain Area Based on Multi-source Data[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(1):246-252.

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  • 收稿日期:2013-07-25
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  • 在線發(fā)布日期: 2014-01-03
  • 出版日期: 2014-01-03
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