疏勒河流域土壤含水率反演

doi:10.13866/j.azr.2018.06.08

摘要/Abstract

摘要： 土壤含水率是影响干旱区植物生长的重要因素,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全球陆面数据同化系统(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,研究其时空变化及其与植被的相关性,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7月＞10月＞4月＞12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的季节变化显著,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, 反演模型, 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 regeneration and conservation of fragile ecosystem in arid and semiarid regions. In this paper, the Apparent Thermal Inertia method and statistical downscaling method were used to obtain the data of soil moisture content at 0-10 cm depth in the Shule River Basin in April, July, October and December 2016 with a 1km resolution based on the Moderate Resolution Imaging Spectroradiometer (MODIS) surface temperature and reflectance data and Global Land Data Assimilation System (GLDAS) soil moisture data. The purposes of the study were to lucubrate the spatiotemporal change of soil moisture content and the correlation between local soil moisture content and vegetation by geographically weighted regression analysis. The results showed that the average annual soil moisture in the Shule River Basin varied in a range of 10-18 mm with an average of 14.11 mm in 2016. Soil moisture content in the Shule River Basin changed significantly in 2016, and the average and discrete degree of soil moisture content was in an order of July>October>April>December. The soil moisture content in the east of the Shule River Basin was higher than that in the west. Soil moisture content was the highest in the upper reaches of the Shule River, three main irrigation areas and near the Mazong Mountain in the north of the basin, but it was the lowest in the Kumtag Desert and Gobi near Aksai-Dunhuang and the upper reaches of the Danghe River. The seasonal variation of spatial distribution pattern of soil moisture content in the basin was significant, and the spatial distribution of variation coefficient was similar to that of average annual soil moisture content. There was a positive correlation between the soil moisture content and the Normalized Difference Vegetation Index (NDVI), but the correlation was different from different regions. It was the highest in the irrigation areas.

Key words: soil moisture content, inversion model, GLDAS, ATI, NDVI, Shule River Basin

郭晓娟, 周妍妍, 郭建军, 陈冠光, 岳东霞. 疏勒河流域土壤含水率反演[J]. 干旱区研究, 2018, 35(6): 1317-1326.

GUO Xiao-juan, ZHOU Yan-yan, GUO Jian-jun, CHEN Guan-guang, YUE Dong-xia. Inversion of Soil Moisture Content in the Shule River Basin[J]. Arid Zone Research, 2018, 35(6): 1317-1326.

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