摘要
把握土壤水分时空格局变化特征,对生态环境综合治理、防止水土流失具有重要参考价值与现实意义。提出一种基于DEM校正TVDI的SMOS土壤水分数据降尺度方法,对25 km空间分辨率的SMOS L3土壤水分产品空间尺度降至1 km,并对降尺度结果进行了验证。然后利用土壤水分变化的空间均方根误差(RMSEδs)和时间均方根误差(RMSEδt)对2017年研究区的土壤水分时空格局变化进行了分析,分析结果表明研究区土壤水分时空分布呈现不均一性,总体上南部和东部地区土壤水分含量较高,北部和西部地区含量较低。土壤水分随时间变化有所波动,6-8月份雨季时期土壤水分值普遍较高。此外,TRMM 3B43降水数据和土壤水分降尺度结果相关性分析表明,不同降雨条件会对土壤水分和降雨之间的相关系数产生显著的差异性影响。
It is of great reference value and practical significance to grasp the changing characteristics of spatial and temporal pattern of soil moisture for the comprehensive treatment of ecological environment and the prevention of soil and water loss.A SMOS soil moisture data downscaling method based on DEM correction TVDI is proposed to reduce the spatial scale of SMOS L3 soil moisture products with a spatial resolution of 25 km to 1 km,and the downscaling results are verified.Then,spatial root mean square error(RMSEδs)and temporal root mean square error(RMSEδt)of soil moisture changes were used to analyze the changing characteristics of spatial and temporal pattern of soil moisture in the research area in 2017.The results showed that the spatial and temporal distribution of soil moisture was not uniform,and the soil moisture content in south and east area was relatively high,while that in north and west area was relatively low.Soil moisture fluctuated with time and was generally higher during rainy seasons between June and August.In addition,the correlation analysis between the TRMM 3B43 precipitation data and the results of soil moisture downscaling data showed that different rainfall conditions would have significant differences in the correlation coefficient between soil moisture and rainfall.
作者
李伯祥
陈晓勇
徐雯婷
LI Bo-xiang;CHEN Xiao-yong;XU Wen-ting(School of Geomatics,East China University of Technology,Nanchang 330013,China;Key Laboratory of Watershed Ecology and Geographical Environment Monitoring,Nanchang 330013,China;Jiangxi Provincial Key Laboratory for Digital Land,Nanchang 330013,China)
出处
《中国农村水利水电》
北大核心
2019年第8期5-11,共7页
China Rural Water and Hydropower
基金
国家自然科学基金(41771371)
国家科研项目(2016YFD0300600)
关键词
土壤水分
空间降尺度
时空变化分析
SMOS
降雨量
soil moisture
spatial downscaling
spatio-temporal change analysis
SMOS
precipitation
