2002-2016年锡林郭勒草原干旱时空特征
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摘要
随着气候变暖,干旱越发普遍,关于干旱的研究一直是国内外学者关注的热点。采用MODIS产品数据计算温度植被干旱指数TVDI,反演2002—2016年锡林郭勒草原植被生长期土壤干湿状况,对干旱的时空分布特征进行了研究。结果表明:锡林郭勒草原在各时相几乎都处于一种干旱的状态,但主要以轻旱和中旱为主,重旱现象较少。从时间上看,6月、8月和9月份易出现大规模干旱,中旱占较大比例,而7月、10月上旬容易发生大面积的轻旱。空间上,西部地区以轻旱为主,中旱及重旱现象较少;中东部、南部地区干旱事件的发生频率较高,且大面积的中旱及局部的重旱现象较为普遍;中部及北部地区也常常会发生不同等级的干旱现象,出现严重干旱的频率也较高。
With the climate warming, drought is becoming more and more common. The study on the drought has been a hotspot for decades worldwide. The temperature and vegetation dryness index was calculated using the MODIS products to evaluate the temporal and spatial characteristics of drought in the Xilingol grassland from 2002 to 2016. The results showed that the Xilingol grassland was in drought at all phases, but mainly in light drought and moderate drought with less severe drought; temporally, the large-scale of moderate drought was prone to occur in June, August and September; the light drought occurred widely in July and the first half of October; spatially, the light drought mainly occurred in the western area, while large scale of moderate drought and regional severe drought were found in the middle of east and southern part of the study area. Different levels of drought were also occurred in the central and northern Xilingol, where severe drought was frequent.
With the climate warming, drought is becoming more and more common. The study on the drought has been a hotspot for decades worldwide. The temperature and vegetation dryness index was calculated using the MODIS products to evaluate the temporal and spatial characteristics of drought in the Xilingol grassland from 2002 to 2016. The results showed that the Xilingol grassland was in drought at all phases, but mainly in light drought and moderate drought with less severe drought; temporally, the large-scale of moderate drought was prone to occur in June, August and September; the light drought occurred widely in July and the first half of October; spatially, the light drought mainly occurred in the western area, while large scale of moderate drought and regional severe drought were found in the middle of east and southern part of the study area. Different levels of drought were also occurred in the central and northern Xilingol, where severe drought was frequent.
引文
[1]张强,韩兰英,张立阳,等.论气候变暖背景下干旱和干旱灾害风险特征与管理策略[J].地球科学进展,2014,29(1):80-91.
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[4]胡实,莫兴国,林忠辉.未来气候情景下我国北方地区干旱时空变化趋势[J].干旱区地理,2015,38(2):239-248.
[5]张利利,周俊菊,张恒玮,等.基于SPI的石羊河流域气候干湿变化及干旱事件的时空格局特征研究[J].生态学报,2017,37(3):996-1007.
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[11]聂娟,邓磊,郝向磊,等.高分四号卫星在干旱遥感监测中的应用[J].遥感学报,2018,22(3):400-407.
[12]郭剑,陈实,徐斌,等.基于SPOT-VGT数据的锡林郭勒盟草原返青期遥感监测[J].地理研究,2017,36(1):37-48.
[13]刘红海,王宏,李晓兵,等.内蒙古温带典型草原物候期的变化研究[J].北京师范大学学报:自然科学版,2016,52(4):512-517,406,537.
[14]王芝兰,王劲松,李耀辉,等.标准化降水指数与广义极值分布干旱指数在西北地区应用的对比分析[J].高原气象,2013,32(3):839-847.
[15] Patel N R,Anapashsha R,Kumar S,et al.Assessing potential of MODIS derived temperature/vegetation condition index(TVDI)to infer soil moisture status[J].International Journal of Remote Sensing,2009,30(1):23-39.
[16] Maduako I N,Ndukwu R I,Ifeanyichukwu C,et al.Multi-index soil moisture estimation from satellite earth observations:comparative evaluation of the topographic wetness index(TWI),the temperature vegetation dryness index(TVDI)and the improved TVDI(iTVDI)[J].Journal of the Indian Society of Remote Sensing,2017,45(4):631-642.
[17] Chen J A,Wang C Z,Jiang H,et al.Estimating soil moisture using Temperature-Vegetation Dryness Index(TVDI)in the Huang-huai-hai(HHH)plain[J].International Journal of Remote Sensing,2011,32(4):1165-1177.
[18]陈斌,张学霞,华开,等.温度植被干旱指数(TVDI)在草原干旱监测中的应用研究[J].干旱区地理,2013,36(5):930-937.
[19]齐述华,王长耀,牛铮.利用温度植被旱情指数(TVDI)进行全国旱情监测研究[J].遥感学报,2003,7(5):420-427.
[20]孙振蓉,陈斌,张学霞.锡林郭勒盟农牧业干旱风险评价[J].自然灾害学报,2014,23(5):129-139.
[21]那音太.基于SPI指数的近50a内蒙古地区干旱特征分析[J].干旱区资源与环境,2015,29(5):161-166.
[22]张巧凤,刘桂香,于红博,等.基于标准化降水指数的锡林郭勒盟干旱特征分析[J].自然灾害学报,2015,24(5):119-128.
[23]刘志刚,刘丽萍,游晓勇,等.锡林郭勒草原气候变化与干旱特征[J].内蒙古气象,2008(1):17-18.
[24]辛志远,史激光,刘雅琴,等.锡林郭勒地区降水时空分布特征及变化趋势[J].中国农学通报,2012,28(2):312-316.
[2] Hessl A E,Anchukaitis K J,Jelsema C,et al.Past and future drought in Mongolia[J].Science Advances,2018,4(3):e1701832.
[3]杨建玲,冯建民,穆建华,等.西北地区东部季节干旱的时空变化特征分析[J].冰川冻土,2013,35(4):949-958.
[4]胡实,莫兴国,林忠辉.未来气候情景下我国北方地区干旱时空变化趋势[J].干旱区地理,2015,38(2):239-248.
[5]张利利,周俊菊,张恒玮,等.基于SPI的石羊河流域气候干湿变化及干旱事件的时空格局特征研究[J].生态学报,2017,37(3):996-1007.
[6]赵安周,刘宪锋,朱秀芳,等.基于SWAT模型的渭河流域干旱时空分布[J].地理科学进展,2015,34(9):1156-1166.
[7]张喆,丁建丽,李鑫,等.TVDI用于干旱区农业旱情监测的适宜性[J].中国沙漠,2015,35(1):220-227.
[8]何慧娟,卓静,李红梅,等.基于MOD16产品的陕西关中地区干旱时空分布特征[J].干旱地区农业研究,2016,34(1):236-241.
[9]柳锦宝,何政伟,段英杰.MODIS数据支持下的西藏干旱遥感监测[J].干旱区资源与环境,2013,27(6):134-139.
[10]何建村,白云岗,张严俊.基于MODIS数据新疆土壤干旱特征分析[J].干旱区地理,2015,38(4):735-742.
[11]聂娟,邓磊,郝向磊,等.高分四号卫星在干旱遥感监测中的应用[J].遥感学报,2018,22(3):400-407.
[12]郭剑,陈实,徐斌,等.基于SPOT-VGT数据的锡林郭勒盟草原返青期遥感监测[J].地理研究,2017,36(1):37-48.
[13]刘红海,王宏,李晓兵,等.内蒙古温带典型草原物候期的变化研究[J].北京师范大学学报:自然科学版,2016,52(4):512-517,406,537.
[14]王芝兰,王劲松,李耀辉,等.标准化降水指数与广义极值分布干旱指数在西北地区应用的对比分析[J].高原气象,2013,32(3):839-847.
[15] Patel N R,Anapashsha R,Kumar S,et al.Assessing potential of MODIS derived temperature/vegetation condition index(TVDI)to infer soil moisture status[J].International Journal of Remote Sensing,2009,30(1):23-39.
[16] Maduako I N,Ndukwu R I,Ifeanyichukwu C,et al.Multi-index soil moisture estimation from satellite earth observations:comparative evaluation of the topographic wetness index(TWI),the temperature vegetation dryness index(TVDI)and the improved TVDI(iTVDI)[J].Journal of the Indian Society of Remote Sensing,2017,45(4):631-642.
[17] Chen J A,Wang C Z,Jiang H,et al.Estimating soil moisture using Temperature-Vegetation Dryness Index(TVDI)in the Huang-huai-hai(HHH)plain[J].International Journal of Remote Sensing,2011,32(4):1165-1177.
[18]陈斌,张学霞,华开,等.温度植被干旱指数(TVDI)在草原干旱监测中的应用研究[J].干旱区地理,2013,36(5):930-937.
[19]齐述华,王长耀,牛铮.利用温度植被旱情指数(TVDI)进行全国旱情监测研究[J].遥感学报,2003,7(5):420-427.
[20]孙振蓉,陈斌,张学霞.锡林郭勒盟农牧业干旱风险评价[J].自然灾害学报,2014,23(5):129-139.
[21]那音太.基于SPI指数的近50a内蒙古地区干旱特征分析[J].干旱区资源与环境,2015,29(5):161-166.
[22]张巧凤,刘桂香,于红博,等.基于标准化降水指数的锡林郭勒盟干旱特征分析[J].自然灾害学报,2015,24(5):119-128.
[23]刘志刚,刘丽萍,游晓勇,等.锡林郭勒草原气候变化与干旱特征[J].内蒙古气象,2008(1):17-18.
[24]辛志远,史激光,刘雅琴,等.锡林郭勒地区降水时空分布特征及变化趋势[J].中国农学通报,2012,28(2):312-316.
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