Evaluation of Cold Dew Wind Monitoring Precision for Late Rice Based on CLDAS Data in Guangxi
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摘要
The low temperature process of cold dew wind( from September 19 to 27 in 2011) for late rice production was dynamically monitored by using CLDAS temperature,combined with the background information of rice cultivation from multi-source satellite database together with an reference to the monitoring indexes of cold dew wind disaster to verify the precision of CLDAS data,so as to provide a reference for monitoring chilling damage caused by cold dew wind in late rice production in Guangxi. The results showed that the cold wind dew caused heavy damage to an area of 3 159. 76 km~2,moderate damage to an area of 559. 77 km~2 and light damage to an area of 2 452. 14 km~2. The correlation coefficients between CLDAS inversion temperature and actual temperature of 12 verification meteorological stations were all larger than 0. 93,and the difference in daily average temperature was 0. 3 ℃. The time difference between maximum and minimum temperature provided by CLDAS and corresponding actual temperature from 12 meteorological stations was less than 1 h. The temperature data provided by CLDAS was in accordance with actual temperature data. With an advantage of rapidly,minutely and accurately monitoring the grade distribution of local cold dew wind disaster for late rice,CLDAS can be used in monitoring cold dew wind in late rice production in Guangxi.
The low temperature process of cold dew wind( from September 19 to 27 in 2011) for late rice production was dynamically monitored by using CLDAS temperature,combined with the background information of rice cultivation from multi-source satellite database together with an reference to the monitoring indexes of cold dew wind disaster to verify the precision of CLDAS data,so as to provide a reference for monitoring chilling damage caused by cold dew wind in late rice production in Guangxi. The results showed that the cold wind dew caused heavy damage to an area of 3 159. 76 km~2,moderate damage to an area of 559. 77 km~2 and light damage to an area of 2 452. 14 km~2. The correlation coefficients between CLDAS inversion temperature and actual temperature of 12 verification meteorological stations were all larger than 0. 93,and the difference in daily average temperature was 0. 3 ℃. The time difference between maximum and minimum temperature provided by CLDAS and corresponding actual temperature from 12 meteorological stations was less than 1 h. The temperature data provided by CLDAS was in accordance with actual temperature data. With an advantage of rapidly,minutely and accurately monitoring the grade distribution of local cold dew wind disaster for late rice,CLDAS can be used in monitoring cold dew wind in late rice production in Guangxi.
The low temperature process of cold dew wind( from September 19 to 27 in 2011) for late rice production was dynamically monitored by using CLDAS temperature,combined with the background information of rice cultivation from multi-source satellite database together with an reference to the monitoring indexes of cold dew wind disaster to verify the precision of CLDAS data,so as to provide a reference for monitoring chilling damage caused by cold dew wind in late rice production in Guangxi. The results showed that the cold wind dew caused heavy damage to an area of 3 159. 76 km~2,moderate damage to an area of 559. 77 km~2 and light damage to an area of 2 452. 14 km~2. The correlation coefficients between CLDAS inversion temperature and actual temperature of 12 verification meteorological stations were all larger than 0. 93,and the difference in daily average temperature was 0. 3 ℃. The time difference between maximum and minimum temperature provided by CLDAS and corresponding actual temperature from 12 meteorological stations was less than 1 h. The temperature data provided by CLDAS was in accordance with actual temperature data. With an advantage of rapidly,minutely and accurately monitoring the grade distribution of local cold dew wind disaster for late rice,CLDAS can be used in monitoring cold dew wind in late rice production in Guangxi.
引文
[1]HE Y,LI Z,XU SH,et al.Application of GIS in monitoring and early warning of cold damage to rice in Guangxi[J].Journal of Catastrophology,2012,27(1):68-72.
[2]LI DM,YU XM,WANG HC.Study on some mechanism and identification of chilling injury in rice at flowering stage[J].Scientia Agricultura Sinica,1986,19(2):12-17.
[3]HU F.The meteorological index and mechanism of chilling injury at the blooming stage of rice[J].Scientia Agricultura Sinica,1981,14(2):60-64.
[4]GAO SH.Dynamic monitoring of delayed chilling damage in corn[J].Journal of Natural Disasters,2003,12(2):117-121.
[5]MA SQ,WANG Q,LUO XL.Effect of climate change maize(Zea mays)growth and yield based on stage sowing[J].Acta Ecologica Sinica,2008,28(5):2131-2139.
[6]WANG Q,MA SQ,GUO JP,et al.Effect of temperature change on maize growth rate in Northeast China[J].Modern Agricultural Science and Technology,2011(7):46-48.
[7]LIN HR,LI ZC,ZHOU QB,et al.Monitoring forest disaster of cotton based on difference of vegetation index and canopy temperature by remote sensing[J].Cotton Science,2009,21(4):284-289.
[8]ZHANG XY,CHEN YY,SU ZS,et al.A study on monitoring frost of main crop in the area of Ningxia by using remote sensing[J].Remote Sensing Technology and Application,2001,16(1):32-36.
[9]ZHANG XF,CHEN HL,ZHENG YF,et al.Monitoring the freezing injury of winter wheat by remote sensing[J].Journal of Nanjing Institute of Meteorology,2006,29(1):94-100.
[10]JI SQ,ZHANG YS,GUAN DX,et al.Remote sensing monitoring on crop chilling damage and meteorological prediction[J].Journal of Shenyang Agricultural University,1998(1):16-20.
[11]MAO K,TANG H,CHEN Z,et al.A split-window algorithm for retrieving land-surface temperature from ASTER data[J].Remote Sensing Information,2006,58(5):7-11.
[12]ZHANG JH,LI X,YAO FM,et al.The progress in retrieving land surface temperature based on thermal infrared and microwave remote sensing technologies[J].Spectroscopy and Spectral Analysis,2009,29(8):2103-2107.
[13]GUO XL,WANG LG,QIU JJ,et al.An analysis of cold damage on rice in Northeast China based on GIS[J].Acta Agriculturae Universitatis Jiangxiensis(Natural Science Edition),2009,31(3):494-498.
[14]HE Y,LI Z,XU SH,et al.Application of GIS in the monitoring and early warning of cold damage to rice in Guangxi[J].Journal of Catastrophology,2012,27(1):68-72.
[15]HE Y,LI Z,ZHONG SQ,et al.The construction of cold damage models of late rice for spatial analysis and zoning in Guangxi[J].Geographical Research,2010(6):1037-1044.
[16]TAN YJ,ZHANG JH,YAO FM,et al.Monitoring and simulation forecasting on crop chilling damage in China:research progress[J].Chinese Journal of Ecology,2013,32(7):1920-1927.
[17]ZHANG C.CLDAS:the application in regionalization model of climate suitability index[J].Chinese Agricultural Science Bulletin,2017,33(1):120-127.
[18]ZHANG C,WU GZ,SONG HQ,et al.Method for spatializing temperature suitability index based on CLDAS[J].Meteorological Science and Technology,2017,45(3):555-560.
[19]ZHONG SQ,MO JF,CHEN YL,et al.Study on rice identification technology using HJ-1B data[J].Remote Sensing Technology and Applications,2010,25(4):464-468.
[20]CHEN YL,MO WH,MO JF,et al.Object-oriented classification for the extraction of rice planting area in South China[J].Remote Sensing Technology and Application,2011,26(2):163-168.
[21]ZHONG SQ,MO JF,MO WH,et al.Extraction and applications of remote sensing background information in Guangxi[J].Journal of Meteorological Research and Application,2010,31(3):44-49.
[2]LI DM,YU XM,WANG HC.Study on some mechanism and identification of chilling injury in rice at flowering stage[J].Scientia Agricultura Sinica,1986,19(2):12-17.
[3]HU F.The meteorological index and mechanism of chilling injury at the blooming stage of rice[J].Scientia Agricultura Sinica,1981,14(2):60-64.
[4]GAO SH.Dynamic monitoring of delayed chilling damage in corn[J].Journal of Natural Disasters,2003,12(2):117-121.
[5]MA SQ,WANG Q,LUO XL.Effect of climate change maize(Zea mays)growth and yield based on stage sowing[J].Acta Ecologica Sinica,2008,28(5):2131-2139.
[6]WANG Q,MA SQ,GUO JP,et al.Effect of temperature change on maize growth rate in Northeast China[J].Modern Agricultural Science and Technology,2011(7):46-48.
[7]LIN HR,LI ZC,ZHOU QB,et al.Monitoring forest disaster of cotton based on difference of vegetation index and canopy temperature by remote sensing[J].Cotton Science,2009,21(4):284-289.
[8]ZHANG XY,CHEN YY,SU ZS,et al.A study on monitoring frost of main crop in the area of Ningxia by using remote sensing[J].Remote Sensing Technology and Application,2001,16(1):32-36.
[9]ZHANG XF,CHEN HL,ZHENG YF,et al.Monitoring the freezing injury of winter wheat by remote sensing[J].Journal of Nanjing Institute of Meteorology,2006,29(1):94-100.
[10]JI SQ,ZHANG YS,GUAN DX,et al.Remote sensing monitoring on crop chilling damage and meteorological prediction[J].Journal of Shenyang Agricultural University,1998(1):16-20.
[11]MAO K,TANG H,CHEN Z,et al.A split-window algorithm for retrieving land-surface temperature from ASTER data[J].Remote Sensing Information,2006,58(5):7-11.
[12]ZHANG JH,LI X,YAO FM,et al.The progress in retrieving land surface temperature based on thermal infrared and microwave remote sensing technologies[J].Spectroscopy and Spectral Analysis,2009,29(8):2103-2107.
[13]GUO XL,WANG LG,QIU JJ,et al.An analysis of cold damage on rice in Northeast China based on GIS[J].Acta Agriculturae Universitatis Jiangxiensis(Natural Science Edition),2009,31(3):494-498.
[14]HE Y,LI Z,XU SH,et al.Application of GIS in the monitoring and early warning of cold damage to rice in Guangxi[J].Journal of Catastrophology,2012,27(1):68-72.
[15]HE Y,LI Z,ZHONG SQ,et al.The construction of cold damage models of late rice for spatial analysis and zoning in Guangxi[J].Geographical Research,2010(6):1037-1044.
[16]TAN YJ,ZHANG JH,YAO FM,et al.Monitoring and simulation forecasting on crop chilling damage in China:research progress[J].Chinese Journal of Ecology,2013,32(7):1920-1927.
[17]ZHANG C.CLDAS:the application in regionalization model of climate suitability index[J].Chinese Agricultural Science Bulletin,2017,33(1):120-127.
[18]ZHANG C,WU GZ,SONG HQ,et al.Method for spatializing temperature suitability index based on CLDAS[J].Meteorological Science and Technology,2017,45(3):555-560.
[19]ZHONG SQ,MO JF,CHEN YL,et al.Study on rice identification technology using HJ-1B data[J].Remote Sensing Technology and Applications,2010,25(4):464-468.
[20]CHEN YL,MO WH,MO JF,et al.Object-oriented classification for the extraction of rice planting area in South China[J].Remote Sensing Technology and Application,2011,26(2):163-168.
[21]ZHONG SQ,MO JF,MO WH,et al.Extraction and applications of remote sensing background information in Guangxi[J].Journal of Meteorological Research and Application,2010,31(3):44-49.