2000年以来内蒙古生长季旱情变化遥感监测及其影响因素分析

doi:10.31497/zrzyxb.20210215

自然资源学报 ›› 2021, Vol. 36 ›› Issue (2): 459-475.doi: 10.31497/zrzyxb.20210215

2000年以来内蒙古生长季旱情变化遥感监测及其影响因素分析

覃艺¹(), 张廷斌¹^,²(), 易桂花³, 魏澎涛¹, 杨达¹

1.成都理工大学地球科学学院,成都 610059
2.成都理工大学工程技术学院,乐山 614000
3.成都理工大学管理科学学院,成都 610059

收稿日期:2019-05-30 修回日期:2019-09-27 出版日期:2021-02-28 发布日期:2021-04-28
通讯作者: 张廷斌 E-mail:yiqin0110@163.com;zhangtb@cdut.edu.cn
作者简介:覃艺（1995- ）,女,重庆人,硕士,研究方向为生态环境遥感。E-mail: yiqin0110@163.com
基金资助:
国家自然科学基金项目(41801099);国家自然科学基金项目(41501060);四川省教育厅自然科学重点项目(18ZA0042)

Remote sensing monitoring and analysis of influencing factors of drought in Inner Mongolia growing season since 2000

QIN Yi¹(), ZHANG Ting-bin¹^,²(), YI Gui-hua³, WEI Peng-tao¹, YANG Da¹

1. College of Earth Science, Chengdu University of Technology, Chengdu 610059, China
2. The Engineering & Technical College of Chengdu University of Technology, Leshan 614000, Sichuan, China
3. College of Management Science, Chengdu University of Technology, Chengdu 610059, China

Received:2019-05-30 Revised:2019-09-27 Online:2021-02-28 Published:2021-04-28
Contact: ZHANG Ting-bin E-mail:yiqin0110@163.com;zhangtb@cdut.edu.cn

摘要/Abstract

摘要：

为探讨内蒙古旱情状况及其影响因素,利用MODIS 16 d合成的植被指数产品数据MOD13A2和8 d合成的地表温度产品数据MOD11A2构建Ts-NDVI特征空间,计算温度植被干旱指数（TVDI）,基于内蒙古2000—2017年生长季每16 d的TVDI分析了近18年来内蒙古生长季旱情时空分布特征,结合气温和降水资料初步探讨了旱情变化的影响因素。结果表明：（1）2000—2017年内蒙古生长季TVDI平均值为0.6,重旱和中旱所占面积最大,其中2007年、2010年为旱情最为严重的年份。内蒙古干旱空间分异明显,西南部以轻旱为主,中部地区以中旱为主,大兴安岭以西的呼伦贝尔草原等地旱情严重。（2）近18年内蒙古生长季干旱程度呈现轻微加重趋势,年际变化值θ_slope介于-0.07~0.7之间,阿鲁科尔沁旗东北部至霍林河一带旱情加重趋势最为严重,阿荣旗和扎兰屯等农业生产地区旱情有轻微加重趋势。（3）2017年内蒙古生长季以区域性和局域性干旱为主,6月和9月干旱最为严重,呼伦贝尔草原和鄂尔多斯高原西部干旱发生频率高且程度重。（4）内蒙古干旱影响因子分析结果表明,TVDI值与气温呈正相关、与降水和坡度呈负相关、与小于1300 m的高程呈正相关、与大于1300 m的高程呈负相关关系。内蒙古生长季TVDI与气温和降水偏相关分析结果表明,锡林郭勒盟苏尼特左旗北部、呼伦贝尔鄂伦春自治旗和呼伦贝尔草原等地旱情与气温正相关关系较为显著（P<0.01）,锡林郭勒盟东北部干旱情况与降水负相关关系较为显著（P<0.01）,其中,气温对旱情的影响强于降水。

关键词: 温度植被干旱指数（TVDI）, 旱情, 气候因子, 遥感, 内蒙古

Abstract:

This article takes Inner Mongolia Autonomous Region as the research area. The Ts-NDVI space is created by using MODIS 16d synthetic vegetation index product data MOD13A2 and 8d synthetic surface temperature product data MOD11A2. Additionally, based on the temperature vegetation dryness index (TVDI) in Inner Mongolia during 2000-2017 growing season, the spatiotemporal characteristics of drought in the study area are analyzed, and the influencing factors of drought are discussed by using air temperature and precipitation data. The results show that: (1) The average TVDI of Inner Mongolia was 0.6 in the growing season from 2000 to 2017, and the area of heavy and moderate drought was the largest, during which 2007 and 2010 are the years with the most severe drought. The spatial differentiation of drought was obvious. The moderate and slight drought mainly occurred in the central and southwest parts, respectively, and severe drought was observed in the Hulun Buir grassland to the west of Da Higgan Mountains. (2) In the past 18 years, the drought degree in Inner Mongolia showed a slight increase trend, and the interannual variation θ_slope ranged from -0.07 to 0.7. (3) In the growing season of 2017, drought was most serious in June and September, and drought occurred frequently and severely in the Hulun Buir grassland and western Ordos Plateau. (4) TVDI is positively correlated with the average temperature, negatively correlated with the cumulative precipitation and slightly negatively correlated with the slope, positively correlated with the elevation of less than 1300 m, and negatively correlated with the elevation of greater than 1300 m. The analysis of partial correlation between TVDI and climatic factors in Inner Mongolia growing season shows that the drought in northern Sonid Left Banner of Xilin Gol League, Oroqen Autonomous Banner and Hulun Buir grassland has a significant positive correlation with temperature (P<0.01), and that in northeastern Xilin Gol League has a significant negative correlation with precipitation (P<0.01); among the climatic factors, the average temperature has a stronger impact on drought than cumulative precipitation does.

Key words: temperature vegetation dryness index (TVDI), drought, climatic factor, remote sensing, Inner Mongolia

覃艺, 张廷斌, 易桂花, 魏澎涛, 杨达. 2000年以来内蒙古生长季旱情变化遥感监测及其影响因素分析[J]. 自然资源学报, 2021, 36(2): 459-475.

QIN Yi, ZHANG Ting-bin, YI Gui-hua, WEI Peng-tao, YANG Da. Remote sensing monitoring and analysis of influencing factors of drought in Inner Mongolia growing season since 2000[J]. JOURNAL OF NATURAL RESOURCES, 2021, 36(2): 459-475.

图/表 13

图1

图2

表1

图3

表2

图4

图5

图6

图7

图8

图9

图10

图11

参考文献 61

[1]	段春青, 刘昌明, 陈晓楠, 等. 区域水资源承载力概念及研究方法的探讨. 地理学报, 2010,65(1):82-90.
	[ DUAN C Q, LIU C M, CHEN X N, et al. Preliminary research on regional water resources carrying capacity conception and method. Acta Geographica Sinica, 2010,65(1):82-90.]
[2]	李新荣, 何明珠, 贾荣亮. 黑河中下游荒漠区植物多样性分布对土壤水分变化的响应. 地球科学进展, 2008,23(7):685-691.
	[ LI X R, HE M Z, JIA R L. The response of desert plant species diversity to the changes in soil water content in the middle-lower reaches of the Heihe River. Advances in Earth Science, 2008,23(7):685-691.]
[3]	JACKSON T, MANSFIELD K, SAAFI M, et al. Measuring soil temperature and moisture using wireless MEMS sensors. Measurement, 2008,41(4):381-390.
[4]	CHAUHAN N S, MILLER S, ARDANUY P. Spaceborne soil moisture estimation at high resolution: A microwave-optical/IR synergistic approach. International Journal of Remote Sensing, 2003,24(22):4599-4622.
[5]	ESZTER I, BAUER N, ZOLTAN B. Classification of semi-dry grassland vegetation in Hungary. Preslia, 2009,81(3):239-260.
[6]	吴黎, 张有智, 解文欢, 等. 土壤水分的遥感监测方法概述. 国土资源遥感, 2014,26(2):19-26.
	[ WU L, ZHANG Y Z, XIE W H, et al. Summary of remote sensing methods for monitoring soil moisture. Remote Sensing for Land & Resources, 2014,26(2):19-26.]
[7]	周磊, 武建军, 张洁. 以遥感为基础的干旱监测方法研究进展. 地理科学, 2015,35(5):630-636.
	[ ZHOU L, WU J J, ZHANG J. Remote sensing-based drought monitoring approach and research progress. Scientia Geographica Sinica, 2015,35(5):630-636.]
[8]	刘兴文, 冯勇进. 应用热惯量编制土壤水分图及土壤水分探测效果. 土壤学报, 1987,24(3):272-280.
	[ LIU X W, FENG Y J. Compilation of soil moisture map by means of soil thermal inertia image. Acta Pedologica Sinica, 1987,24(3):272-280.]
[9]	田国良. 土壤水分的遥感监测方法. 环境遥感, 1991,6(2):89-98.
	[ TIAN G L. Methods for monitoring soil moisture using remote sensing technique. Environment Remote Sensing, 1991,6(2):89-98.]
[10]	余涛, 田国良. 热惯量法在监测土壤表层水分变化中的研究. 遥感学报, 1997,1(1):24-31.
	[ YU T, TIAN G L. The application of thermal inertia method the monitoring of soil moisture of North China plain based on NOAA-AVHRR data. Journal of Remote Sensing, 1997,1(1):24-31.]
[11]	IDSO S B, JACKSON R D, PINTER P J, et al. Normalizing the stress-degree-day parameter for environmental variability. Agricultural Meteorology, 1981,24(1):45-55.
[12]	JACKSON R D, IDSO S B, REGINATO R J, et al. Canopy temperature as a crop water stress indicator. Water Resources Research, 1981,17(4):1133-1138.
[13]	沙莎, 郭铌, 李耀辉, 等. 植被状态指数VCI与几种气象干旱指数的对比: 以河南省为例. 冰川冻土, 2013,35(4):990-998.
	[ SHA S, GUO N, LI Y H, et al. Comparison of the vegetation condition index with meteorological drought indices: A case study in Henan province. Journal of Glaciology and Geocryology, 2013,35(4):990-998.]
[14]	刘成林, 樊任华, 武建军, 等. 锡林郭勒草原植被生长对降水响应的滞后性研究. 干旱区地理, 2009,32(4):512-518.
	[ LIU C L, FEN R H, WU J J, et al. Temporal lag of grassland vegetation growth response to precipitation in Xilinguolemeng. Arid Land Geography, 2009,32(4):512-518.]
[15]	PHILLIPS C G. An evaluation of ecosystem management and its application to the national environmental policy act: The case of the United States forest service. Agricultural Systems, 1997,108(4):84-93.
[16]	MORAN M S, CLARKE T R, INOUE Y. Estimating crop water deficit using the relation between surf ace-air temperature and spectral vegetation index. Remote Sensing of Environment, 1994,49(3):246-263.
[17]	SANDHOLT I, ANDERSEN J, RASMUEEEN K. A simple interpretation of the surface temperature/vegetation index space for assessment of soil moisture status. Remote Sensing of Environment, 2002,79(2):213-224. doi: 10.1016/S0034-4257(01)00274-7
[18]	PATEL N R, ANUPASHSHA R, KUMAR S, et al. Assessing potential of MODIS derived temperature/vegetation condition index (TVDI) to infer soil moisture status. International Journal of Remote Sensing, 2009,30(1):23-39.
[19]	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. Natural Hazards, 2017,86(2):757-777.
[20]	高涛, 肖苏君, 乌兰. 近47年(1961—2007年)内蒙古地区降水和气温的时空变化特征. 内蒙古气象, 2009, (1):3-7.
	[ GAO T, XIAO S J, WU L. Temporal-spatial characteristics of precipitation and temperature in Inner Mongolia for the last 47 years (1961-2007). Inner Mongolia Meteorological, 2009, (1):3-7.]
[21]	周扬, 李宁, 吉中会, 等. 基于SPI指数的1981—2010年内蒙古地区干旱时空分布特征. 自然资源学报, 2013,28(10):1694-1706.
	[ ZHOU Y, LI N, JI Z H, et al. Temporal and spatial patterns of droughts based on standard precipitation index (SPI) in Inner Mongolia during 1981-2010. Journal of Natural Resources, 2013,28(10):1694-1706.]
[22]	胡琦, 潘学标, 邵长秀. 内蒙古作物生长季降水资源空间分布及月尺度旱情特征分析. 干旱区资源与环境, 2014,28(10):61-67.
	[ HU Q, PAN X B, SHAO C X. The distribution of precipitation during crop growth season and the monthly drought characteristics in Inner Mongolia. Journal of Arid Land Resources and Environment, 2014,28(10):61-67.]
[23]	张煦庭, 潘学标, 徐琳, 等. 基于降水蒸发指数的1960—2015年内蒙古干旱时空特征. 农业工程学报, 2017,33(15):190-199.
	[ ZHANG X T, PAN X B, XU L, et al. Analysis of spatio-temporal distribution of drought characteristics based on SPEI in Inner Mongolia during 1960-2015. Transactions of the CSAE, 2017,33(15):190-199.]
[24]	薛海丽, 张钦, 唐海萍. 近60 a内蒙古不同草原类型区极端气温和干旱事件特征分析. 干旱区地理, 2018,41(4):701-711.
	[ XUE H L, ZHANG Q, TANG H P. Extreme temperature and drought events in four different grassland areas of Inner Mongolia in recent 60 years. Arid Land Geography, 2018,41(4):701-711.]
[25]	董昱, 闫慧敏, 杜文鹏, 等. 基于供给—消耗关系的蒙古高原草地承载力时空变化分析. 自然资源学报, 2019,34(5):1093-1107.
	[ DONG Y, YAN H M, DU W P, et al. Spatio-temporal analysis of grassland carrying capacity in Mongolian Plateau based on supply-consumption relationship. Journal of Natural Resources, 2019,34(5):1093-1107.]
[26]	彭海英, 童绍玉, 李小雁. 内蒙古典型草原土壤及其水文过程对灌丛化的响应. 自然资源学报, 2017,32(4):642-653.
	[ PENG H Y, TONG S Y, LI X Y. Effects of thicketization of rangeland on soil and soil hydrological processes in Inner Mongolia. Journal of Natural Resources, 2017,32(4):642-653.]
[27]	戴尔阜, 黄宇, 吴卓, 等. 内蒙古草地生态系统碳源/汇时空格局及其与气候因子的关系. 地理学报, 2016,71(1):21-34.
	[ DAI E F, HUANG Y, WU Z, et al. Spatial-temporal features of carbon source-sink and its relationship with climate factors in Inner Mongolia grassland ecosystem. Acta Geographica Sinica, 2016,71(1):21-34.]
[28]	卢晓宁, 曾德裕, 黄玥, 等. 四川省伏旱及驱动因子多尺度分析. 农业工程学报, 2019,35(9):138-146.
	[ LU X N, ZENG D Y, HUANG Y, et al. Multi-scale analysis of drought and its driving factors in Sichuan. Transactions of the CSAE, 2019,35(9):138-146.]
[29]	郑发美, 白建军. 基于地形因子的TVDI修正: 以陕西省为例. 干旱区研究, 2018,35(5):1223-1233.
	[ ZHENG F M, BAI J J. TVDI modification based on topographic factors: A case study in Shaanxi province. Arid Zone Research, 2018,35(5):1223-1233.]
[30]	谭剑波, 李爱农, 雷光斌. 青藏高原东南缘气象要素Anusplin和Cokriging空间插值对比分析. 高原气象, 2016,35(4):875-886.
	[ TAN J B, LI A N, LEI G B. Contrast on Anusplin and Cokriging meteorological spatial interpolation in southeastern margin of Qinghai-Xizang Plateau. Plateau Meteorology, 2016,35(4):875-886.]
[31]	LAWRENCE D S, SEELY-REYNOLDS D M, REYNOLDS R C. Application of Kriging to estimating mean annual precipitation in a region of orographic influence. Jawra Journal of the American Water Resources Association, 1988,24(2):329-339.
[32]	刘思雨. 基于风云气象卫星数据的内蒙古草地干旱监测. 成都: 电子科技大学, 2017.
	[ LIU S Y. Drought detection of grassland in Inner Mongolia based on Fengyun meteorological satellite data. Chengdu: University of Electronic Science and Technology of China, 2017.]
[33]	PRICE J C. Using spatial context in satellite data to infer regional scale evapotranspiration. IEEE Transactions on Geoscience & Remote Sensing, 1990,28(5):940-948.
[34]	MORAN M S, CLARKE T R, KUSTAS W P, et al. Evaluation of hydrologic parameters in a semiarid rangeland using remotely sensed spectral data. Water Resources Research, 1994,30(5):1287-1297. doi: 10.1029/93WR03066
[35]	吴孟泉, 崔伟宏, 李景刚. 温度植被干旱指数(TVDI)在复杂山区干旱监测的应用研究. 干旱区地理, 2007,30(1):30-35.
	[ WU M Q, CUI W H, LI J G. Monitoring drought in mountainous area based on temperature/vegetation dryness index(TVDI). Arid Land Geography, 2007,30(1):30-35.]
[36]	李正国, 王仰麟, 吴健生, 等. 基于TVDI的黄土高原地表干燥度与土地利用的关系研究. 地理研究, 2006,25(5):913-920.
	[ LI Z G, WANG Y L, WU J S, et al. Relationship between surface dryness degree and landuse types based on TVDI on Loess Plateau. Geographical Research, 2006,25(5):913-920.]
[37]	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.
	[ WU L. Classification of drought grades based on temperature vegetation drought index using the MODIS data. Research of Soil and Water Conservation, 2017,24(3):130-135.]
[38]	何奕萱, 易桂花, 张廷斌, 等. 红河流域“通道—阻隔”作用下2000—2014年植被EVI变化趋势与驱动力分析. 生态学报, 2018,38(6):2056-2064. doi: 10.5846/stxb201703210483
	[ HE Y X, YI G H, ZHANG T B, et al. The EVI trends and driving factors in Red River Basin affected by the "corridor-barrier" function during 2000-2014. Acta Ecologica Sinica, 2018,38(6):2056-2064.]
[39]	王强, 张廷斌, 易桂花, 等. 横断山区2004—2014年植被NPP时空变化及其驱动因子. 生态学报, 2017,37(9):3084-3095. doi: 10.5846/stxb201602030248
	[ WANG Q, ZHANG T B, YI G H, Tempo-spatial variations and driving factors analysis of net primary productivity in the Hengduan Mountain Area from 2004 to 2014. Acta Ecologica Sinica, 2017,37(9):3084-3095.]
[40]	张景华, 封志明, 姜鲁光, 等. 澜沧江流域植被NDVI与气候因子的相关性分析. 自然资源学报, 2015,30(9):1425-1435.
	[ ZHANG J H, FENG Z M, JIANG L G, et al. Analysis of the correlation between NDVI and climate factors in the Lancang River Basin. Journal of Natural Resources, 2015,30(9):1425-1435.]
[41]	王正兴, 刘闯, HUETE A. 植被指数研究进展: 从AVHRR-NDVI到MODIS-EVI. 生态学报, 2003,23(5):979-987.
	[ WANG Z X, LIU C, HUETE A. From AVHRR-NDVI to MODIS-EVI: Advances in vegetation index research. Acta Ecologica Sinica, 2003,23(5):979-987.]
[42]	EVRENDILEK F, GULBEYAZ O. Deriving vegetation dynamics of natural terrestrial ecosystems from MODIS NDVI/ EVI data over Turkey. Sensors, 2008,8(9):5270-5302. doi: 10.3390/s8095270 pmid: 27873814
[43]	姚春生, 张增祥, 汪潇. 使用温度植被干旱指数法(TVDI)反演新疆土壤湿度. 遥感技术与应用, 2004,19(6):473-479.
	[ YAO C S, ZHANG Z X, WANG X. Evaluating soil moisture status in Xinjiang using the temperature vegetation dryness index (TVDI). Remote Sensing Technology and Application, 2004,19(6):473-479.]
[44]	杨曦, 武建军, 闫峰, 等. 基于地表温度—植被指数特征空间的区域土壤干湿状况. 生态学报, 2008,29(3):1205-1216.
	[ YANG X, WU J J, YAN F, et al. Assessment of regional soil moisture status based on characteristics of surface temperature/vegetation index Space. Acta Ecologica Sinica, 2008,29(3):1205-1216.]
[45]	尤莉, 丁晓华, 高志国, 等. 2017年5-7月内蒙古中东部地区气象干旱及环流特征分析. 内蒙古气象, 2017, (6):3-6.
	[ YOU L, DING X H, GAO Z G, et al. Analysis of the meteorological-drought in Mid-eastern Inner Mongolia from May to July in 2017 and the characteristic of atmosphere circulation. Meteorology Journal of Inner Mongolia, 2017, (6):3-6.]
[46]	叶红, 张廷斌, 易桂花, 等. 2000—2014年黄河源区ET时空特征及其与气候因子关系. 地理学报, 2018,73(11):69-86.
	[ YE H, ZHANG T B, YI G H, et al. Spatio-temporal characteristics of evapotranspiration and its relationship with climate factors in the source region of the Yellow River from 2000 to 2014. Acta Geographica Sinica, 2018,73(11):69-86.]
[47]	LIANG L, ZHAO S H, QIN Z H, et al. Drought change trend using MODIS TVDI and its relationship with climate factors in China from 2001 to 2010. Journal of Integrative Agriculture, 2014,13(7):1501-1508. doi: 10.1016/S2095-3119(14)60813-3
[48]	刘文莉, 张明军, 王圣杰, 等. 近50年来华北平原极端干旱事件的时空变化特征. 水土保持通报, 2013,33(4):90-95.
	[ LIU W L, ZHANG M J, WANG S J, et al. Temporal-spatial variation characteristics of extreme drought events in North China Plain during recent 50 years. Bulletin of Soil and Water Conservation, 2013,33(4):90-95.]
[49]	潘韬, 吴绍洪, 何大明, 等. 纵向岭谷区地表格局的生态效应及其区域分异. 地理学报, 2012,67(1):13-26. doi: 10.11821/xb201201002
	[ PAN T, WU S H, HE D M, et al. Ecological effects of longitudinal range-gorge land surface pattern and its regional differentiation. Acta Geographica Sinica, 2012,67(1):13-26.]
[50]	边金虎, 李爱农, 宋孟强, 等. MODIS植被指数时间序列Savitzky-Golay滤波算法重构. 遥感学报, 2010,14(4):725-741.
	[ BIAN J H, LI A N, SONG M Q, et al. Reconstruction of NDVI time-series datasets of MODIS based on Savitzky-Golay filter. Journal of Remote Sensing, 2010,14(4):725-741.]
[51]	周旻悦, 沈润平, 陈俊, 等. 基于像元质量分析和异常值检测的LAI时序数据S-G滤波重建研究. 遥感技术与应用, 2019,34(2):323-330.
	[ ZHOU M Y, SHEN R P, CHEN J, et al. Filtering and reconstruction of LAI time series data by S-G filter based on pixel quality analysis and outlier detection. Remote Sensing Technology and Application, 2019,34(2):323-330.]
[52]	李天祺, 朱秀芳, 潘耀忠, 等. MODIS陆地表面温度数据重构方法研究. 北京师范大学学报: 自然科学版, 2015,51(s1):70-76.
	[ LI T Q, ZHU X F, PAN Y Z, et al. Study on reconstruction methods of MODIS LST products. Journal of Beijing Normal University: Natural Science, 2015,51(s1):70-76.]
[53]	曲学斌. 基于MCI指数的呼伦贝尔市干旱灾害风险区划. 北方农业学报, 2019,47(1):120-125.
	[ QU X B. Risk zoning of drought disasters in HulunBuir city based on MCI index. Journal of Northern Agriculture, 2019,47(1):120-125.]
[54]	迟道才, 沙炎, 陈涛涛, 等. 基于标准化降水蒸散指数的干旱敏感性分析: 以呼伦贝尔市为例. 沈阳农业大学学报, 2018,49(4):433-439.
	[ CHI D C, SHA Y, CHEN T T, et al. Analysis of drought sensitivity based on standardized precipitation evapotranspiration index: Taking Hulunbeier as an example. Journal of Shenyang Agricultural University, 2018,49(4):433-439.]
[55]	穆少杰, 李建龙, 陈奕兆, 等. 2001—2010年内蒙古植被覆盖度时空变化特征. 地理学报, 2012,67(9):1255-1268. doi: 10.11821/xb201209010
	[ MU S J, LI J L, CHEN Y Z, et al. Spatial differences of variations of vegetation coverage in Inner Mongolia during 2001-2010. Acta Geographica Sinica, 2012,67(9):1255-1268.]
[56]	HE Y, PFLUGMACHER D, LI A, et al. Land use and land cover change in Inner Mongolia-Understanding the effects of China's re-vegetation programs. Remote Sensing of Environment, 2018,204:918-930. doi: 10.1016/j.rse.2017.08.030
[57]	姚俊强, 杨青, 陈亚宁, 等. 西北干旱区气候变化及其对生态环境影响. 生态学杂志, 2013,32(5):1283-1291.
	[ YAO J Q, YANG Q, CHEN Y N, et al. Climate change in arid areas of Northwest China in past 50 years and its effects on the local ecological environment. Chinese Journal of Ecology, 2013,32(5):1283-1291.]
[58]	张东, 钞然, 万志强, 等. 模拟增温增雨对典型草原优势种羊草功能性状的影响. 草业科学, 2018,35(8):1919-1928.
	[ ZHANG D, CHAO R, WAN Z Q, et al. Effect of simulated warming and precipitation enhancement on plant functional traits of Leymus chinensis. Pratacultural Science, 2018,35(8):1919-1928.]
[59]	马梓策, 于红博, 张巧凤, 等. 内蒙古地区1960—2016年气温和降水特征及突变. 水土保持研究, 2019,26(3):114-121.
	[ MA Z C, YU H B, ZHANG Q F, et al. Characteristics and abrupt change of temperature and precipitation in Inner Mongolia area over the period 1960-2016. Research of Soil and Water Conservation, 2019,26(3):114-121.]
[60]	冯妍, 何彬方, 唐怀瓯, 等. 安徽省2000—2009年不同类型植被的变化及其与气温、降水的关系. 生态学杂志, 2012,31(11):2926-2934.
	[ FENG Y, HE B F, TANG H O, et al. Variation patterns of different types of vegetation in Anhui province of East China in 2000-2009 in relation to air temperature and precipitation. Chinese Journal of Ecology, 2012,31(11):2926-2934.]
[61]	郑有飞, 牛鲁燕, 吴荣军, 等. 1982—2003年贵州省植被覆盖变化及其对气候变化的响应. 生态学杂志, 2009,28(9):1773-1778.
	[ ZHENG Y F, NIU L Y, WU R J, et al. Vegetation cover change in Guizhou of Southwest China in 1982-2003 in response to climate change. Chinese Journal of Ecology, 2009,28(9):1773-1778.]

TVDI范围	干旱等级	干旱影响程度
[0, 0.4]	正常	地表湿润或正常,无旱象
(0.4, 0.6]	轻旱	地表蒸发量较小,近地表空气干燥
(0.6, 0.8]	中旱	土壤表面干燥,地表植物叶片有萎蔫现象
(0.8, 1]	重旱	土壤出现较厚的干土层,植物干枯、死亡

月份	时间	干边	湿边
5月	5月9日至5月24日	y= -26.465x+54.683	y= -12.199x+22.049
		r= -0.900	r= -0.779
6月	5月25日至6月9日	y= -25.639x+56.258	y= -13.013x+24.552
		r= -0.945	r= -0.693
	6月10日至6月25日	y= -32.321x+64.381	y= -9.692x+27.831
		r= -0.945	r= -0.562
7月	6月26日至7月11日	y= -24.714x+57.813	y= -14.899x+31.255
		r= -0.905	r= -0.899
	7月12日至7月27日	y= -29.536x+60.236	y= -3.873x+20.038
		r= -0.884	r= -0.574
8月	7月28日至8月12日	y= -27.986x+55.309	y= -3.183x+18.816
		r= -0.957	r= -0.373
	8月13日至8月25日	y= -27.573x+48.844	y= -19.422x+24.205
		r= -0.971	r= -0.881
9月	8月26日至9月13日	y= -25.834x+45.925	y=2.1045x+14.033
		r= -0.977	r=0.152

2000年以来内蒙古生长季旱情变化遥感监测及其影响因素分析

Remote sensing monitoring and analysis of influencing factors of drought in Inner Mongolia growing season since 2000

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 13

参考文献 61

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	张涛, 方宏, 韦玉春, 胡祺, 徐晗泽宇. 顾及空间自相关性的高分遥感影像中建设用地的变化检测[J]. 自然资源学报, 2020, 35(4): 963-976.
[2]	余灏哲, 李丽娟, 李九一. 基于TRMM降尺度和MODIS数据的综合干旱监测模型构建[J]. 自然资源学报, 2020, 35(10): 2553-2568.
[3]	肖武, 张文凯, 吕雪娇, 王新静. 西部生态脆弱区矿山不同开采强度下生态系统服务时空变化——以神府矿区为例[J]. 自然资源学报, 2020, 35(1): 68-81.
[4]	饶滴滴, 于秀波, 李鹏, 夏少霞, 孟竹剑, 刘影. 鄱阳湖碟形湖泊（常湖池）春季苔草生物量遥感估算[J]. 自然资源学报, 2019, 34(9): 2001-2011.
[5]	高永鹏, 姚晓军, 刘时银, 祁苗苗, 段红玉, 刘娟, 张大弘. 1973-2018年布喀达坂峰地区前进冰川遥感监测[J]. 自然资源学报, 2019, 34(8): 1666-1681.
[6]	张文强, 孙从建, 李新功. 晋西南黄土高原区植被覆盖度变化及其生态效应评估[J]. 自然资源学报, 2019, 34(8): 1748-1758.
[7]	马勇, 童昀, 任洁. 多源遥感数据支持下的县域尺度生态效率测算及稳健性检验——以长江中游城市群为例[J]. 自然资源学报, 2019, 34(6): 1196-1208.
[8]	郭兴健, 邵全琴, 杨帆, 李愈哲, 汪阳春, 王东亮. 无人机遥感调查黄河源玛多县岩羊数量及分布[J]. 自然资源学报, 2019, 34(5): 1054-1065.
[9]	王炎强, 赵军, 李忠勤, 张明军. 1977-2017年萨吾尔山冰川变化及其对气候变化的响应[J]. 自然资源学报, 2019, 34(4): 802-814.
[10]	董禹麟, 于皓, 王宗明, 李明玉. 1990-2015年朝鲜土地覆被变化及驱动力分析[J]. 自然资源学报, 2019, 34(2): 288-300.
[11]	陈桃, 包安明, 郭浩, 郑国雄, 袁野, 于涛. 中亚跨境流域生态脆弱性评价及其时空特征分析——以阿姆河流域为例[J]. 自然资源学报, 2019, 34(12): 2643-2657.
[12]	郭兵, 孔维华, 姜琳. 西北干旱荒漠生态区脆弱性动态监测及驱动因子定量分析[J]. 自然资源学报, 2018, 33(3): 412-424.
[13]	徐晓龙, 王新军, 朱新萍, 贾宏涛, 韩东亮. 1996—2015年巴音布鲁克天鹅湖高寒湿地景观格局演变分析[J]. 自然资源学报, 2018, 33(11): 1897-1911.
[14]	吕梦宇, 王仕琴, 齐永青, 孔晓乐, 孙宏勇. 华北低平原区降水与坑塘蓄水响应关系研究——以河北省南皮县为例[J]. 自然资源学报, 2018, 33(10): 1796-1805.
[15]	吕鑫, 王卷乐, 康海军, 韩雪华. 基于遥感估产的2006—2015年青海果洛与玉树地区草畜平衡分析[J]. 自然资源学报, 2018, 33(10): 1821-1832.