温度植被干旱指数在2000—2015年松嫩平原土壤湿度中的应用
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摘要
选取了时间序列良好的MODIS影像,对松嫩平原2000—2015年逐月的温度植被干旱指数(TVDI)进行计算,并结合农业气象站点的相对土壤湿度数据进行对比验证,发现TVDI和相对土壤湿度数据具有良好的相关关系,表明TVDI可以作为表示土壤含水量的指标。重建1 km分辨率的松嫩平原作物生长季(4—10月)表层土壤湿度空间信息数据集,引入集合经验模态分解分析方法探究了松嫩平原土壤湿度的时空变化特征及变化趋势,并探讨了松嫩平原土壤湿度变化对农作物产量的影响。结果表明,近16年来松嫩平原土壤湿度的时间变化趋势是逐渐变湿,土壤湿度的空间变化趋势是由西南向东北逐渐变湿,极端土壤缺水事件频率呈现出增高的趋势。松嫩平原粮食产量和年均土壤湿度水平显著相关说明粮食产量受到年平均土壤湿度的影响显著,不同季相的土壤湿度对粮食产量的影响程度差异较大,夏季土壤湿度对粮食产量的影响尤为明显。
In the current study, time-series MODIS images were selected to calculate the monthly temperature vegetation dryness index(TVDI) from 2000 to 2015 of the Songnen Plain. There was a strong correlation between the TVDI value and soil relative moisture, which signified that TVDI could be used as a substitute indicator for soil relative moisture. The spatial dataset for the surface soil moisture during the crop growing season(from April to October) was rebuilt with a 1 km cell size. The temporal and spatial variation characteristics and dynamic trends of soil moisture were analyzed by means of ensemble empirical mode decomposition(EEMD) and the impact of soil moisture on crop yield was discussed. The results showed that soil moisture was gradually increasing from the southwest to northeast in the Songnen Plain in terms of spatial distribution. Regarding temporal changes, soil moisture had increased over the past 16 years, although the frequency of extreme water shortage events had increased. There was a significant correlation between yearly average soil moisture and crop yield, which showed that crop yield was primarily affected by the yearly average soil moisture. Crop yield was affected by soil moisture of different seasons, especially that of summer.
In the current study, time-series MODIS images were selected to calculate the monthly temperature vegetation dryness index(TVDI) from 2000 to 2015 of the Songnen Plain. There was a strong correlation between the TVDI value and soil relative moisture, which signified that TVDI could be used as a substitute indicator for soil relative moisture. The spatial dataset for the surface soil moisture during the crop growing season(from April to October) was rebuilt with a 1 km cell size. The temporal and spatial variation characteristics and dynamic trends of soil moisture were analyzed by means of ensemble empirical mode decomposition(EEMD) and the impact of soil moisture on crop yield was discussed. The results showed that soil moisture was gradually increasing from the southwest to northeast in the Songnen Plain in terms of spatial distribution. Regarding temporal changes, soil moisture had increased over the past 16 years, although the frequency of extreme water shortage events had increased. There was a significant correlation between yearly average soil moisture and crop yield, which showed that crop yield was primarily affected by the yearly average soil moisture. Crop yield was affected by soil moisture of different seasons, especially that of summer.
引文
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[3] 张翀,雷田旺,宋佃星.黄土高原植被覆盖与土壤湿度的时滞关联及时空特征分析.生态学报,2018,38(6):2128- 2138.
[4] 高蓉,石圆圆,陈少勇.西北干旱半干旱过渡区近50年气候变化特征分析及对粮食产量的影响//中国气象学会2008年年会干旱与减灾——第六届干旱气候变化与减灾学术研讨会分会场论文集.北京:中国气象学会,2008:10- 10.
[5] 徐海亚,朱会义.基于自然地理分区的1990—2010年中国粮食生产格局变化.地理学报,2015,70(4):582- 590.
[6] 王凤,刘艳芳,孔雪松,陈奕云,潘佳威.中国县域粮食产量时空演变及影响因素变化.经济地理,2018,38(5):142- 151.
[7] 康蕾,张红旗.我国五大粮食主产区农业干旱态势综合研究.中国生态农业学报,2014,22(8):928- 937.
[8] 罗那那,巴特尔·巴克,吴燕锋.基于集合经验模态分解北疆降水多尺度变化特征.水土保持研究,2017,24(4):362- 367.
[9] 吴燕锋,巴特尔·巴克,李维,魏小琴,Rasulov H H.基于EEMD的杜尚别市1950—2013年降水多尺度分析.干旱区资源与环境,2015,29(6):152- 157.
[10] 刘可,杜灵通,侯静,胡悦,朱玉果,宫菲.近30年中国陆地生态系统NDVI时空变化特征.生态学报,2018,38(6):1885- 1896.
[11] 胡悦,杜灵通,候静,刘可,朱玉果.基于SPI指数的宁夏中部干旱带1960—2012年干旱特征研究.干旱地区农业研究,2017,35(2):255- 262.
[12] Price J C.Using spatial context in satellite data to infer regional scale evapotranspiration.IEEE Transactions on Geoscience and Remote Sensing,1990,28(5):940- 948.
[13] Carlson T N,Gillies R R,Perry E M.A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover.Remote Sensing Reviews,1994,9(1/2):161- 173.
[14] Sandholt I,Rasmussen K,Andersen J.A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status.Remote Sensing of Environment,2002,79(2/3):213- 224.
[15] Nemani R,Pierce L,Running S,Goward S.Developing satellite-derived estimates of surface moisture status.Journal of Applied Meteorology,1993,32(3):548- 557.
[16] Moran M S,Clarke T R,Inoue Y,Vidal A.Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index.Remote Sensing of Environment,1994,49(3):246- 263.
[17] Wu Z H,Huang N E.A study of the characteristics of white noise using the empirical mode decomposition method.Proceedings of the Royal Society A:Mathematical,Physical and Engineering Sciences,2004,460(2046):1597- 1611.
[18] Huang N E,Shen S S.Hilbert-Huang Transform and Its Applications.2nd ed.New Jersey:World Scientific,2014:107- 127.
[19] Wu Z H,Huang N E.Ensemble empirical mode decomposition:a noise-assisted data analysis method.Advances in Adaptive Data Analysis,2009,1(1):1- 41.
[20] 韩丽娟,王鹏新,王锦地,刘绍民.植被指数-地表温度构成的特征空间研究.中国科学 D辑地球科学,2005,35(4):371- 377.
[21] 吴黎.基于MODIS数据温度植被干旱指数干旱监测指标的等级划分.水土保持研究,2017,24(3):130- 135.
[22] 张晓光,黄标,梁正伟,赵永存,孙维侠,胡文友.松嫩平原西部土壤盐碱化特征研究.土壤,2013,45(2):332- 338.
[23] 郑树峰,张柏,王宗明.松嫩平原西部草地退化与气候变化研究//中国地理学会百年庆典学术论文摘要集.北京:中国地理学会,2009:1- 1.
[24] 路春燕,王宗明,刘明月,欧阳玲,贾明明,毛德华.松嫩平原西部湿地自然保护区保护有效性遥感分析.中国环境科学,2015,35(2):599- 609.
[25] 纪仰慧,王晨轶,朱海霞,姜丽霞,张剑侠.松嫩平原土壤湿度时序变化特征.中国农学通报,2013,29(2):154- 159.
[26] 罗新正,朱坦,孙广友.人类活动对松嫩平原生态环境的影响.中国人口·资源与环境,2002,12(4):94- 99.
[27] Dai A G.Erratum:Drought under global warming:a review.WIREs Climate Change,2011,2(1):45- 65.
[28] 李正国,杨鹏,唐华俊,吴文斌,陈仲新,刘佳,张莉,谭杰扬,唐鹏钦.近20年来东北三省春玉米物候期变化趋势及其对温度的时空响应.生态学报,2013,33(18):5818- 5827.
[29] 徐岩岩.基于MODIS数据提取东北地区水稻物候时空变化特征[D].北京:中国气象科学研究院,2012.
[2] 张蕾,吕厚荃,王良宇,杨冰韵.中国土壤湿度的时空变化特征.地理学报,2016,71(9):1494- 1508.
[3] 张翀,雷田旺,宋佃星.黄土高原植被覆盖与土壤湿度的时滞关联及时空特征分析.生态学报,2018,38(6):2128- 2138.
[4] 高蓉,石圆圆,陈少勇.西北干旱半干旱过渡区近50年气候变化特征分析及对粮食产量的影响//中国气象学会2008年年会干旱与减灾——第六届干旱气候变化与减灾学术研讨会分会场论文集.北京:中国气象学会,2008:10- 10.
[5] 徐海亚,朱会义.基于自然地理分区的1990—2010年中国粮食生产格局变化.地理学报,2015,70(4):582- 590.
[6] 王凤,刘艳芳,孔雪松,陈奕云,潘佳威.中国县域粮食产量时空演变及影响因素变化.经济地理,2018,38(5):142- 151.
[7] 康蕾,张红旗.我国五大粮食主产区农业干旱态势综合研究.中国生态农业学报,2014,22(8):928- 937.
[8] 罗那那,巴特尔·巴克,吴燕锋.基于集合经验模态分解北疆降水多尺度变化特征.水土保持研究,2017,24(4):362- 367.
[9] 吴燕锋,巴特尔·巴克,李维,魏小琴,Rasulov H H.基于EEMD的杜尚别市1950—2013年降水多尺度分析.干旱区资源与环境,2015,29(6):152- 157.
[10] 刘可,杜灵通,侯静,胡悦,朱玉果,宫菲.近30年中国陆地生态系统NDVI时空变化特征.生态学报,2018,38(6):1885- 1896.
[11] 胡悦,杜灵通,候静,刘可,朱玉果.基于SPI指数的宁夏中部干旱带1960—2012年干旱特征研究.干旱地区农业研究,2017,35(2):255- 262.
[12] Price J C.Using spatial context in satellite data to infer regional scale evapotranspiration.IEEE Transactions on Geoscience and Remote Sensing,1990,28(5):940- 948.
[13] Carlson T N,Gillies R R,Perry E M.A method to make use of thermal infrared temperature and NDVI measurements to infer surface soil water content and fractional vegetation cover.Remote Sensing Reviews,1994,9(1/2):161- 173.
[14] Sandholt I,Rasmussen K,Andersen J.A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status.Remote Sensing of Environment,2002,79(2/3):213- 224.
[15] Nemani R,Pierce L,Running S,Goward S.Developing satellite-derived estimates of surface moisture status.Journal of Applied Meteorology,1993,32(3):548- 557.
[16] Moran M S,Clarke T R,Inoue Y,Vidal A.Estimating crop water deficit using the relation between surface-air temperature and spectral vegetation index.Remote Sensing of Environment,1994,49(3):246- 263.
[17] Wu Z H,Huang N E.A study of the characteristics of white noise using the empirical mode decomposition method.Proceedings of the Royal Society A:Mathematical,Physical and Engineering Sciences,2004,460(2046):1597- 1611.
[18] Huang N E,Shen S S.Hilbert-Huang Transform and Its Applications.2nd ed.New Jersey:World Scientific,2014:107- 127.
[19] Wu Z H,Huang N E.Ensemble empirical mode decomposition:a noise-assisted data analysis method.Advances in Adaptive Data Analysis,2009,1(1):1- 41.
[20] 韩丽娟,王鹏新,王锦地,刘绍民.植被指数-地表温度构成的特征空间研究.中国科学 D辑地球科学,2005,35(4):371- 377.
[21] 吴黎.基于MODIS数据温度植被干旱指数干旱监测指标的等级划分.水土保持研究,2017,24(3):130- 135.
[22] 张晓光,黄标,梁正伟,赵永存,孙维侠,胡文友.松嫩平原西部土壤盐碱化特征研究.土壤,2013,45(2):332- 338.
[23] 郑树峰,张柏,王宗明.松嫩平原西部草地退化与气候变化研究//中国地理学会百年庆典学术论文摘要集.北京:中国地理学会,2009:1- 1.
[24] 路春燕,王宗明,刘明月,欧阳玲,贾明明,毛德华.松嫩平原西部湿地自然保护区保护有效性遥感分析.中国环境科学,2015,35(2):599- 609.
[25] 纪仰慧,王晨轶,朱海霞,姜丽霞,张剑侠.松嫩平原土壤湿度时序变化特征.中国农学通报,2013,29(2):154- 159.
[26] 罗新正,朱坦,孙广友.人类活动对松嫩平原生态环境的影响.中国人口·资源与环境,2002,12(4):94- 99.
[27] Dai A G.Erratum:Drought under global warming:a review.WIREs Climate Change,2011,2(1):45- 65.
[28] 李正国,杨鹏,唐华俊,吴文斌,陈仲新,刘佳,张莉,谭杰扬,唐鹏钦.近20年来东北三省春玉米物候期变化趋势及其对温度的时空响应.生态学报,2013,33(18):5818- 5827.
[29] 徐岩岩.基于MODIS数据提取东北地区水稻物候时空变化特征[D].北京:中国气象科学研究院,2012.
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