帮助 关于我们

返回检索结果

近30年来中国陆地蒸散量和土壤水分变化特征分析
Changing Characteristic of Land Surface Evapotranspiration and Soil Moisture in China during the Past 30 Years

查看参考文献27篇

文摘 对NOAH陆面模式模拟的近30年中国陆地蒸散量和土壤含水量,按照6大片区和5种生态系统类型进行了统计分析。讨论全国以及各大区不同生态系统类型蒸散和土壤含水量的变化,研究不同类型蒸散和土壤含水量的关系。中国陆地蒸散量总体呈增加的趋势,年内蒸散量最大的月份是7月,年末和年初蒸散量较小。而我国中南、西南、华东、东北和西北蒸散量变化趋势和全国的总趋势一致,呈增加的趋势。华北地区蒸散量近30年来总体趋势是下降的,华北蒸散量最大的年份是上世纪90年代。在所有生态系统类型中,林地蒸散最大的有东北、华东、西南和中南4区;而华北和西北草地在各类型中蒸散量所占比例最高。6大片区对比,林地蒸散水量最大的地区是西南和中南,最小的西北;草地蒸散水量最大的地区是西南,最小的是东北区;农田蒸散水量最高的是华东,最低的是西北;荒漠蒸散量最大的片区是西北;湿地蒸散最大的是东北。80年代以来,全国土壤含水量总体呈下降的趋势。从各片区的情况看,仅西北地区稍有增加,其余5区土壤含水量皆是下降的。植被覆盖度和土壤水分是影响蒸散量最重要的因子,在植被覆盖较差时,土壤水分和蒸散量相关性较好。
其他语种文摘 The land surface evapotranspiration(ET) and soil moisture used in this paper were retrieved from land surface model(LSM) of NOAH.The variation of land surface ET and soil moisture was analyzed by statistics in six large regions and by four ecosystem types in China.Then the relationship between ET and soil moisture was discussed.The long term trend of land surface ET was increasing in China.The maximum ET occurred in July,while the minimum one was usually at the beginning/end of a year.The trend of ET in South-Central China,Southwest China,East China,Northeast China and Northwestern China was also increasing,agreed with the whole China.The long term variation trend of ET was decreasing in North China,where the maximum ET was 43.091 Billion Cubic Meters(BCM) in 1990.The relative ratio of evapotranspiration of forest was the highest among all the ecosystem types in Northeast,East,Southwest and South-Central China,while the highest one was grassland in North and Northwest China.To compare the amount of water used by evapotranspiration,the biggest forest ET was in Southwest and South Central China,the smallest was in Northwest China;the biggest grassland ET was in Southwest China,the smallest was in Northeast China;the biggest farmland ET was in East China,the smallest was in Northwest China;the biggest ET for desert and wet land was in Northwest and Northeast China respectively.The soil moisture was decreasing in most China regions except for that in Northwest China ever since 1980s,agreed with the whole China.The main impact factors of ET were vegetation fraction and soil moisture.There existed a good relationship between soil water content and evapotranspiration in rare vegetation covered regions.
来源 地球信息科学学报 ,2012,14(1):1-13 【核心库】
关键词 蒸散 ; 土壤含水量 ; 植被覆盖度 ; NOAH ; 陆面模式 ; LUCC
地址

Institute of Geographic Sciences and Natural Resources Research,CAS, 北京, 100101

语种 中文
文献类型 研究性论文
ISSN 1560-8999
学科 地球物理学
基金 国家973计划 ;  国家973计划
文献收藏号 CSCD:4464944

参考文献 共 27 共2页

1.  Li Z. A review of current methodologies for regional evapotranspiration estimation from remotely sensed data. Sensors,2009,9(5):3801-3853 被引 11    
2.  Allen R G. Evapotranspiration information reporting: II. Recommended documentation. Agricultural Water Management,2011,98(6):921929 被引 14    
3.  Allen R G. Evapotranspiration information reporting: I. Factors governing measurement accuracy. Agricultural Water Management,2011,98(6):899920 被引 49    
4.  L Dingman S. Physical hydrology. Upper Saddle River,1994 被引 1    
5.  王书功. 黑河山区草地蒸散发量估算方法研究. 冰川冻土,2003,25(5):558565 被引 1    
6.  Rana G. Measurement and estimation of actual evapotranspiration in the field under Mediterranean climate: Areview. European Journal of Agronomy,2000,13(23):125153 被引 59    
7.  Courault D. Review on estimation of evapotranspiration from remote sensing data: From empirical to numerical modeling approaches. Irrigation and Drainage Systems,2005,19(34):223249 被引 17    
8.  Kustas W P. Use of remote sensing for evapotranspiration monitoring over land surfaces. Hydrological Sciences Journal,1996,41(4):495516 被引 29    
9.  Allen R. A Landsat-based energy balance and evapotranspiration model in Western US water rights regulation and planning. Irrigation and Drainage Systems,2005,19(3):251268 被引 11    
10.  Fisher J B. Global estimates of the land-atmosphere water flux based on monthly AVHRR and ISLSCP-II data, validated at 16 FLUXNET sites. Remote Sensing of Environment,2008,112(3):901919 被引 1    
11.  刘永强. 土壤湿度和植被对气候的影响--Ⅱ。短期气候异常持续性的数值试验. 中国科学(B辑:化学生命科学地学),1992(5):554560 被引 1    
12.  刘永强. 土壤湿度和植被对气候的影响--Ⅰ。短期气候异常持续性的理论分析. 中国科学(B辑:化学生命科学地学),1992(4):441448 被引 1    
13.  Charusombat U. Evaluating a new deposition velocity module in the Noah land-surface model. Boundary-Layer Meteorology,2010,137(2):271290 被引 2    
14.  Ek M B. Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model. Journal of Geophysical Research-Atmospheres,2003,108(D22):8851 被引 86    
15.  Hogue T S. Evaluation and rransferability of the Noah land surface model in semiarid environments. Journal of Hydrometeorology,2005,6(1):6884 被引 4    
16.  Lakshmi V. The influence of the land surface on hydrometeorology and ecology: new advances from modeling and satellite remote sensing. Hydrology Research,2011,42(23):95112 被引 1    
17.  Rosero E. Ensemble evaluation of hydrologically enhanced Noah-LSM: Partitioning of the water balance in high-resolution simulations over the Little Washita River experimental watershed. Journal of Hydrometeorology,2011,12(1):4564 被引 1    
18.  Sridhar V. Validation of the NOAH-OSU land surface model using surface flux measurements in Oklahoma. Journal of Geophysical Research-Atmospheres,2002,107(D20):4418 被引 4    
19.  Sridhar V. Scaling effects on modeled surface energy-balance components using the NOAH-OSU land surface model. Journal of Hydrology,2003,280(14):105123 被引 1    
20.  Chen Y. Improving the Noah land surface model in arid regions with an appropriate parameterization of the thermal roughness length. Journal of Hydrometeorology,2010,11(4):9951006 被引 1    
引证文献 16

1 陈权 遥感监测介电常数与土壤含水率关系模型 农业工程学报,2012,28(12):171-175
被引 8

2 贺添 基于MOD16产品的我国2001-2010年蒸散发时空格局变化分析 地球信息科学学报,2014,16(6):979-988
被引 63

显示所有16篇文献

论文科学数据集

1. 黑河流域中游绿洲区30米分辨率月尺度地表蒸散发数据集 Version 1.0(2000-2013)

2. 排露沟流域土壤水分记录(2012-2013)

3. 中国陆地实际蒸散发数据集(1982-2017)

数据来源:
国家青藏高原科学数据中心
PlumX Metrics
相关文献

 作者相关
 关键词相关
 参考文献相关

版权所有 ©2008 中国科学院文献情报中心 制作维护:中国科学院文献情报中心
地址:北京中关村北四环西路33号 邮政编码:100190 联系电话:(010)82627496 E-mail:cscd@mail.las.ac.cn 京ICP备05002861号-4 | 京公网安备11010802043238号