基于SMOS数据的三江源土壤水分时空变化
Spatiotemporal Variation of Soil Moisture in the Three River Headwaters Region based on SMOS Data
投稿时间:2019-03-11  修订日期:2019-05-13
DOI:
中文关键词:  土壤水分  SMOS卫星  三江源  NDVI
英文关键词:soil moisture(SM)  satellite of SMOS  the Three River Headwaters Region  NDVI
基金项目:
作者单位E-mail
王生春 青海大学 1476026091@qq.com 
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中文摘要:
      土壤水分是陆地和大气间水热能量交换的关键参数,也是陆面生态系统水循环的重要组成部分。本文基于SMOS卫星和GNSS-MET地面土壤水分监测数据,采用皮尔逊相关、滑动平均、反距离权重法和空间自相关性等方法,评估SMOS土壤水分数据在三江源地区的适用性,分析土壤水分的变化特征及其影响因素。结果表明:(1)SMOS土壤水分数据能反应研究区(4-10月份)基本规律,其值略低于地面实测值;(2)SMOS卫星升轨土壤水分值大于降轨土壤水分值,6~8月SMOS土壤水分值高于其它月份;土壤水分季节性差异明显,夏季显著高于春季;土壤水分主要受降水和蒸发影响;(3)三江源区土壤水分空间分布差异较大,空间格局明显,总体上澜沧江源区相对湿润,长江源区相对干旱;(4)三江源区NDVI与土壤水分空间相关性好,土壤水分含量越大的地区植被覆盖度越高,表明土壤水分直接影响陆地植被生态系统。
英文摘要:
      Soil moisture(SM), as an important part of water cycle in terrestrial ecosystem, can impacts the growth of vegetation, and influences the exchange of water, carbon and heat energy between the land surface and the atmosphere. In this paper, we utilize the Pearson correlation, overlapping averages method, inverse distance weighting (IDW), and spatial autocorrelation analysis to make corresponding analysis based on SMOS satellite SM data and in-situ GNSS-MET data. We evaluate the applicability of SMOS SM data; analyzing the variety characteristics and influencing factors of SM. The results show that: (1) SMOS SM data can reflect the basic law of the research area (April to October), meanwhile its value is slightly lower than the in-situ measured SM value; (2) SM value of SMOS satellite in orbit is higher than that in orbit descending, and SM value of SMOS in June to August is higher than that in other months; and the seasonal difference of soil water is obvious, summer is higher than spring markedly. Precipitation was the main controlling factor for SM; (3) The spatial distribution of SM in the TRHR is greatly different, and the spatial pattern is obvious. The source area of Lantsang River is relatively wet, while the source area of the Yangtze River is relatively dry; (4) The spatial expression of NDVI and SM in the Three River Headwaters Region is highly consistent. The vegetation coverage is higher, the value of SM is higher, so the SM directly affects vegetation coverage.
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