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张学艺,李剑萍,秦其明,韩颖娟,张晓煜,王连喜,官景得.几种干旱监测模型在宁夏的对比应用[J].农业工程学报,2009,25(8):18-23.DOI:
几种干旱监测模型在宁夏的对比应用
投稿时间:2009-03-18  修订日期:2009-05-18
中文关键词:  监测,模型,干旱,对比应用,宁夏
基金项目:科技部社会公益研究专项(2005DIB3J103);中国气象局新技术推广项目(CMATG2005M45);科技部农业科技成果转化资金项目(2006GB24160429);中国气象局气象行业科研专项(GYHY200806022)
作者单位
张学艺 1.南京信息工程大学南京 210044 2.宁夏气象防灾减灾重点试验室银川 750002 
李剑萍 2. 宁夏气象防灾减灾重点试验室银川 750002 
秦其明 3. 北京大学遥感与GIS研究所北京 100871 
韩颖娟 2. 宁夏气象防灾减灾重点试验室银川 750002 
张晓煜 2. 宁夏气象防灾减灾重点试验室银川 750002 
王连喜 1. 南京信息工程大学南京 210044 
官景得 2. 宁夏气象防灾减灾重点试验室银川 750002 
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中文摘要:利用MODIS资料和地面自动气象站观测数据反演地表温度(LST),结合MODIS-EVI试验研究改进型温植被旱情指数(MTVDI)。用通道2和LST试验研究改进型能量指数(MEI),用通道1和通道2,引入植被覆盖度,试验研究改进型垂直干旱指数(MPDI)。结合农业气象常规业务地面取土测墒资料,建立各指数与土壤含水率的统计函数关系,均通过0.01显著性检验。将所建模型用于宁夏干旱监测业务,结果表明:MTVDI、MPDI在作物生长季监测效果显著,MEI、PDI对裸露或稀疏植被地表旱情监测比较有效。几个模型各有优劣,综合运用才能在实际监测业务中发挥最佳效果,精度可达90%左右。
Zhang Xueyi,Li Jianping,Qin Qiming,Han Yingjuan,Zhang Xiaoyu,Wang Lianxi,Guan Jingde.Comparison and application of several drought monitoring models in Ningxia, China[J].Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE),2009,25(8):18-23.DOI:
Comparison and application of several drought monitoring models in Ningxia, China
Author NameAffiliation
Zhang Xueyi 1. Nanjing Information Engineering University, Nanjing 210044, China
2. Ningxia Key Laboratory for Meteorological Disaster Prevention and Reduction, Yinchuan 750002, China 
Li Jianping 2. Ningxia Key Laboratory for Meteorological Disaster Prevention and Reduction, Yinchuan 750002, China 
Qin Qiming 3. Institute of Remote Sensing and GIS, Peking University, Beijing 100871, China 
Han Yingjuan 2. Ningxia Key Laboratory for Meteorological Disaster Prevention and Reduction, Yinchuan 750002, China 
Zhang Xiaoyu 2. Ningxia Key Laboratory for Meteorological Disaster Prevention and Reduction, Yinchuan 750002, China 
Wang Lianxi 1. Nanjing Information Engineering University, Nanjing 210044, China 
Guan Jingde 2. Ningxia Key Laboratory for Meteorological Disaster Prevention and Reduction, Yinchuan 750002, China 
Key words:monitoring, models, drought, comparative application, Ningxia
Abstract:Land surface temperature (LST) was obtained by MODIS data and observation data from automatic weather station on the ground. Modify temperature-vegetation dryness index (MTVDI) was studied by LST combined with MODIS-EVI. Modified energy index (MEI) was studied by channel 2 data and LST test. Vegetation coverage was introduced, and modify perpendicular drought index (MPDI) was studied by channel 1 and channel 2 data. Combined with the soil moisture data from the agro-meteorological regular observation business, statistical functions of the indexes and soil moisture were established, which were all pass the 0.01 significance test. The models had been applied to Ningxia drought monitoring business, the results showed that the monitoring effects of MTVDI and MPDI were significant in crop growing season, and MEI, PDI were effective on bare ground or sparse vegetation. Each model has its own advantage and disadvantage, and the comprehensive application of the models could achieve the best results during the actual monitoring. The accuracy could reach to 90%.
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