干旱区研究

干旱区研究

• 中国山地生物多样性 •    下一篇

疏勒河流域土壤含水率反演及与植被的相关性

郭晓娟1，周妍妍1，郭建军2，陈冠光1，岳东霞1   

  1. 1.兰州大学 资源环境学院，甘肃 兰州 730000；2.中国科学院西北生态环境资源研究院 中科院沙漠与沙漠化重点实验室，甘肃 兰州 730000
  • 发布日期:2019-01-01
  • 基金资助:
    国家自然科学基金(41671516，41701623);甘肃省国际科技合作专项（1604WKCA002）;甘肃省民生科技计划项目（1503FCME006）;甘肃省软科学专项(1504ZKCA090-1)资助

Inversion of Soil Moisture and Its Correlation with Vegetation in Shule River Basin

GUO Xiao-juan1，ZHOU Yan-yan1，GUO Jian-jun2，CHEN Guan-guang1，YUE Dong-xia1   

  1. 1. College of Earth Environmental Sciences, Lanzhou University, Lanzhou, Gansu730000, China；2. Key Laboratory of Desert and Desertification, Northwest Institute of Eco-Environment and Resources, Lanzhou, Gansu 730000, China
  • Published:2019-01-01

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摘要： 土壤含水率是影响干旱区植被生长的重要因素，获取区域尺度土壤含水率数据，能够为干旱半干旱区生态恢复和脆弱生态系统保护提供科学依据。结合MODIS地表温度和反射率数据及GLDAS土壤含水率数据，利用表观热惯量法和统计降尺度方法反演疏勒河流域土壤含水率，研究其时空变化及与植被的相关性，得到以下结论：2016年整个疏勒河流域年均土壤含水率偏低，且季节变化显著，其均值、离散程度存在七月＞十月＞四月＞十二月的趋势；流域东部土壤含水率整体高于西部；流域土壤含水率空间分布格局季节变化显著，其变异系数的空间分布与年均土壤含水率相似；土壤含水率与归一化植被指数NDVI正相关，但不同区域两者相关程度不同，灌区土壤含水率与植被的相关性最高。

关键词: 土壤含水率, GLDAS, 表观热惯量, NDVI, 疏勒河流域

Abstract: Soil moisture is an important factor affecting vegetation growth in arid regions. Obtaining soil moisture data at a regional scale can provide a scientific basis for ecological restoration and the protection of fragile ecosystem in arid and semiarid regions. Based on the Moderate Resolution Imaging Spectroradiometer(MODIS) surface temperature and reflectance data and Global Land Data Assimilation System (GLDAS) soil moisture data, this paper used the Apparent Thermal Inertia method and statistical downscaling method to obtain the 0-10cm soil moisture data of Shule River Basin in April, July, October, December 2016 with the resolution of 1km, to study its spatial-temporal changes and the correlation of local soil moisture and vegetation by geographical weighted regression analysis. The results showed that the annual average soil moisture of the Shule River Basin concentrated in 10-18mm, with an average of 14.11mm in 2016. Soil moisture of the Shule River Basin had a significant changes in 2016, and the obvious trend of the average and discrete degree of soil moisture was July＞ October＞ April＞ December. The soil moisture in the east of Shule River basin was higher than that of the west. The upper reaches of the Shule River, the three main irrigation areas and the near Mazong Mountain in the north of the basin had the highest moisture, and the lowest soil moisture was in the Kumtag Desert and Gobi near Aksai-Dunhuang and the upper reaches of the Danghe River. The seasonal variation of the spatial distribution pattern of soil moisture in the basin was significant; the coefficient of variation was similar to the average annual soil moisture. The soil moisture had a significant correlation with the Normalized Difference Vegetation Index (NDVI), but the correlation is different in different regions. It was the highest in irrigation areas and not significant in the upper reaches of Shule River. And it was strongly correlated in Danghe River. It is beneficial to the rational utilization of water resources in the basin and the monitoring of agricultural drought and promotes the sustainable economic and social development by the study of soil moisture in Shule River Basin.

Key words: Soil moisture, GLDAS, ATI, NDVI, Shule River Basin