Abstract：[Background] To study the spatial and temporal distribution characteristics of potential evapotranspiration (PET) and drying index (IA) in Xilingol League and to understand the drought situation in this area are of great significance for further study of vegetation status, environmental change and agricultural water resources management in this area.[Methods] Based on the meteorological data of 11 weather stations in and around the study area from 1957 to 2016, the PET and IA values were obtained using Penman-Montes model (P-M model) and IA formulas. Three mutation detection methods, radial basis function interpolation method and partial correlation analysis were used to explore the temporal and spatial characteristics of PET and IA and their influencing factors.[Results] From 1957 to 2016, the average PET was 875.82 mm and IA was 0.615 6, which showed an increasing trend; the distribution of P ET was mainly concentrated in summer, accounting for 46.28%, the smallest in winter, accounting for only 4.15%, the largest in spring, the driest in summer, the smallest in relative humidity. Both PET and IA showed an increasing trend from northeast to southwest; the mutation of PET occurred in 1984 and 1998, IA abrupt change occurred in 1998 and 2001; PET and IA were the most sensitive to wind speed.[Conclusions] The degree of drought in the study area increased from 1957 to 2016. Statistics for many years showed that the drought was the most severe in spring, and the degree of drought in spatial distribution increased from northeast to southwest.
马梓策, 于红博, 曹聪明, 张巧凤. 锡林郭勒盟潜在蒸散量和干燥指数的变化特征[J]. 中国水土保持科学, 2019, 17(6): 19-26.
MA Zice, YU Hongbo, CAO Congming, ZHANG Qiaofeng. Variation characteristics of potential evapotranspiration and drying index in Xilingol League. SSWC, 2019, 17(6): 19-26.
DUNN S M, MACKAY R. Spatial variation in evapotranspiration and the influence of land use on catchment hydrology[J]. Journal of Hydrology, 1995, 171(1/2):49.
[2]
吴喜芳, 沈彦俊, 张丛, 等. 基于植被遥感信息的作物蒸散量估算模型:以华北平原冬小麦为例[J]. 中国生态农业学报, 2014, 22(8):920. WU Xifang,SHEN Yanjun, ZHANG Cong,et al. Modeling crop evapotranspiration using remotely sensed vegetation data:A case study of winter wheat in the North China Plain[J]. Chinese Journal of Eco-Agriculture, 2014, 22(8):920.
[3]
JUNG M, REICHSTEIN M, CIAIS P, et al. Recent decline in the global land evapotranspiration trend due to limited moisture supply[J]. Nature, 2010, 467(7318):951.
[4]
汪左, 王芳, 张运. 基于CWSI的安徽省干旱时空特征及影响因素分析[J]. 自然资源学报, 2018, 33(5):853. WANG Zuo,WANG Fang, ZHANG Yun. Spatio-temporal distribution characteristics and influencing factors of drought in Anhui province based on CWSI[J]. Journal of Natural Resources, 2018, 33(5):853.
[5]
刘继遥, 春喜, 梁文军, 等. 基于SPI指数的内蒙古干旱时空分布特征研究[J]. 内蒙古师范大学学报(自然科学汉文版), 2016, 45(4):533. LIU Jiyao, CHUN Xi, LIANG Wenjun, et al. Dryness temporal-spatial distribution based on standardized precipitation index in Inner Mongolia[J]. Journal of Inner Mongolia Normal University (Natural Science Edition), 2016, 45(4):853.
[6]
吴燕锋, 巴特尔·巴克, 罗那那. 1961-2012年北疆干旱时空变化[J]. 中国沙漠, 2017, 37(1):158. WU Yanfeng, BAKE Batur, LUO Nana. Spatiotemporal pattern of drought in North Xinjiang, China in 1961-2012[J]. Journal of Desert Research, 2017, 37(1):158.
[7]
BAI Jianjun, YU Yuan,DI Liping. Comparison between TVDI and CWSI for drought monitoring in the Guanzhong Plain, China[J]. Journal of Integrative Agriculture, 2017, 16(2):389.
[8]
ZORMAND S, JAFARI R, KOUPAEI S S. Assessment of PDI, MPDI and TVDI drought indices derived from MODIS Aqua/Terra Level 1B data in natural lands[J]. Natural Hazards, 2017, 86(2):757.
[9]
HUO Zailin, DAI Xiaoqin, FENG Shaoyuan, et al. Effect of climate change on reference evapotranspiration and aridity index in arid region of China[J]. Journal of Hydrology, 2013, 492:24.
[10]
赵汝冰, 肖如林, 万华伟, 等. 锡林郭勒盟草地变化监测及驱动力分析[J]. 中国环境科学, 2017, 37(12):4734. ZHAO Rubing, XIAO Rulin, WAN Huawei, et al. Grassland change monitoring and driving force analysis in Xilingol League[J]. China Environmental Science, 2017, 37(12):4734.
[11]
张巧凤, 刘桂香, 于红博, 等. 锡林郭勒草原土壤含水量遥感反演模型及干旱监测[J]. 草业学报, 2017, 26(11):1. ZHANG Qiaofeng, LIU Guixiang, YU Hongbo, et al. Soil moisture modelling and drought monitoring using remote sensing in Xilingol grassland[J]. Acta Prataculturae Sinica, 2017, 26(11):1.
[12]
张超, 高晶, 赵艳丽. 基于GIS内蒙古荒漠草原气候变化分析[J]. 草业科学, 2014, 31(12):2212. ZHANG Chao, GAO Jing, ZHAO Yanli. Climate changes analysis in the Inner Mongolia desert grassland based on GIS[J]. Pratacultural Science, 2014, 31(12):2212.
[13]
毛飞, 张光智, 徐祥德. 参考作物蒸散量的多种计算方法及其结果的比较[J]. 应用气象学报, 2000,11(S1):128. MAO Fei, ZHANG Guangzhi, XU Xiangde. Several methods of calculating the reference evapotranspiration and comparison of their results[J]. Quarterly Journal of Applied Meteorology, 2000, 11(Z1):128.
[14]
孟秀敬, 张士锋, 张永勇. 河西走廊57年来气温和降水时空变化特征[J]. 地理学报, 2012, 67(11):1482. MENG Xiujing, ZHANG Shifeng, ZHANG Yongyong. The temporal and spatial change of temperature and precipitation in Hexi Corridor in recent 57 years[J]. Acta Geographica Sinica, 2012, 67(11):1482.
[15]
贺伟, 布仁仓, 熊在平, 等. 1961-2005年东北地区气温和降水变化趋势[J]. 生态学报, 2013, 33(2):519. HE Wei, BU Rencang, XIONG Zaiping, et al. Characteristics of temperature and precipitation in northeastern China from 1961 to 2005[J]. Acta Ecologica Sinica, 2013,33(2):519.
[16]
符淙斌, 王强. 气候突变的定义和检测方法[J]. 大气科学, 1992, 16(4):482. FU Congbin, WANG Qiang. The definition and detection of the abrupt climatic change[J]. Scientia Atmospherica Sinica, 1992,16(4):482.
[17]
张娜, 金建新, 佟长福, 等. 西藏参考作物蒸散量时空变化特征与影响因素[J]. 干旱区研究, 2017, 34(5):1027. ZHANG Na, JIN Jianxin,TONG Changfu, et al. Spatiotemporal variation of evapotranspiration of referred crops and the affecting factors in Tibet[J]. Arid Zone Research, 2017,34(5):1027.
[18]
陈金, 李政海, 贾树海, 等. 锡林郭勒草原区气候干旱化的时空变化规律[J]. 内蒙古大学学报(自然科学版), 2011, 42(3):304. CHEN Jin, LI Zhenghai, JIA Shuhai, et al. Temporal and spatial changes of climate aridity in Xilinguole Steppe Region[J]. Journal of Inner Mongolia University (Natural Science Edition), 2011,42(3):304.
[19]
田静, 苏红波, 陈少辉, 等. 近20年来中国内陆地表蒸散的时空变化[J]. 资源科学, 2012, 34(7):1277. TIAN Jing, SU Hongbo, CHEN Shaohui, et al. Spatialtemporal variations of evapotranspiration in China mainland in recent 20 years[J]. Resources Science, 2012, 34(7):1277.
[20]
王学强, 董春艳, 杜爱萍, 等. 1961-2009年锡林郭勒盟气温突变特征分析[J]. 内蒙古气象, 2011(1):22. WANG Xueqiang, DONG Chunyan, DU Aiping, et al. Analysis on abrupt temperature change during the recent 50 years in Xilinguole[J]. Meteorology Journal of Inner Mongolia, 2011(1):22.
[21]
郭春燕. 近50年内蒙古自治区风速变化周期及突变分析[J]. 干旱区资源与环境, 2015, 29(9):154. GUO Chunyan. Analysis of wind speed variation period and abrupt change in Inner Mongolia over the past 50 years[J]. Journal of Arid Land Resources and Environment, 2015, 29(9):154.
[22]
王学强, 白利云, 刘志刚, 等. 锡林郭勒盟近50 a降水变化及旱涝年分析[J]. 内蒙古气象, 2012(5):6. WANG Xueqiang, BAI Liyun, LIU Zhigang, et al. Analysis on the precipitation change in recent 50 years and floods and drought years in Xilin Gol League[J]. Meteorology Journal of Inner Mongolia, 2012(5):6.
[23]
玉院和, 王金亮, 李晓鹏. 基于MODIS数据的滇中地区干旱监测[J]. 灌溉排水学报, 2018, 37(11):91. YU Yuanhe, WANG Jinliang, LI Xiaopeng. Drought monitoring in central Yunnan based on MODIS data[J]. Journal of Irrigation and Drainage, 2018, 37(11):91.
[24]
郭旭新, 赵英, 高志永, 等. 基于SPEI的陕北黄土丘陵区干旱特征及影响因素分析[J]. 西北林学院学报, 2019, 34(1):69. GUO Xuxin, ZHAO Ying, GAO Zhiyong, et al. SPEI based drought characters and factors in loess hilly regions of northern Shaanxi[J]. Journal of Northwest Forestry University, 2019, 34(1):69.
2019, Vol. 17 
