干旱区生态环境知识资源中心(Arid): 基于综合干旱指数的毛乌素沙地腹部土壤水分反演及分布

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	基于综合干旱指数的毛乌素沙地腹部土壤水分反演及分布
其他题名	Inversion and distribution of soil moisture in belly of Maowusu sandy land based on comprehensive drought index
	王思楠 1; 李瑞平 1; 李夏子 2
来源期刊	农业工程学报
ISSN	1002-6819
出版年	2019
卷号	35 期号:13 页码:113-121
中文摘要	为了克服单一干旱监测指数在复杂覆盖类型的适用性问题,以复杂覆盖类型的毛乌素沙地腹部乌审旗为例,在传统归一化干旱指数(normalized difference drought index,NDDI)、土壤湿度监测指数(soil moisture monitoring index, SMMI)、温度植被干旱指数(temperature vegetation drought index,TVDI)3个单一干旱监测指数的基础上,通过层次分析法确定各指数的权重,结合野外不同覆盖类型实测的土壤含水率数据,分别进行回归分析,建立多指数综合干旱监测模型,基于此模型分析研究区表层土壤水分的空间分布。结果表明:3个单一干旱指数在一定程度上均能客观反映旱情特征,与表层土壤含水率呈现不同程度的负相关,温度植被干旱指数相关性最好为0.604。引入结合多指数的综合干旱监测指数模型,在8月、9月草地和沙地与表层土壤含水率指数模型的决定系数R2均在0.7以上,高于基于单一指数模型的拟合精度。基于该模型,研究区研究区表层土壤含水率整体较低,体积含水率不高于0.15 cm~3/cm~3的面积分别占96.47 %(8月)和94.8%(9月)。总体上从东到西,由北到南土壤含水率逐渐降低,与实测表层土壤样本的描述性统计结果有较好的空间一致性。
英文摘要	In order to accurately estimate soil moisture content based on index of drought monitored in the complex type cover, this paper studied the feasibility of integrating the single index to estimate soil moisture. Wushen Banner in the abdomen of Maowusu sandy land was the study area. The annual wind velocity of this area was 3.4 m/s. The land use of this area included grassland, sandy land, forest, farmland, water body and construction land, which accounted for 55.66%, 29.3%, 10.9%, 2.75%, 0.7% and 0.69% of the total area, respectively. The remote sensing data were from Landsat 8 OLI images on August 26 and September 28 of 2016. The spatial resolution was 30 m. The data were carefully preteated. The sampling was carried out in 24 plots of 12 sandy land and 12 grassland. Traditional 3 single drought monitoring indexes were selected. The weights of each index was determined by analytic hierarchy process. Together with the measured soil moisture data from different cover types, regression analysis was applied to establish the multi-index comprehensive drought monitoring model (CDI). The accuracy of the model was validated by determination coefficient, average relative error and root mean square error (RMSE). Moreover, the spatial distribution of surface soil moisture in the studied area was inverted and analyzed based on multi-index model. The results showed that the 3 single drought indexes could objectively reflect the drought characteristics, displaying a negative correlation with surface soil moisture content. The best temperature vegetation dryness index (TVDI) correlation was 0.604. The comprehensive drought monitoring index model and multiple indexes were introduced. The determination coefficient in surface soil moisture index models for grassland and sandy land in August and September were 0.751 and 0.749, respectively. On the whole, the determination coefficient of the exponential model reached 0.744 and 0.727, respectively, which were higher than the fitting effect of a single index. With the increase of soil moisture content, the CDI value showed an obvious decreasing trend, which was ranked as sandy land higher in grassland in size. It indicated that the comprehensive drought monitoring index could better reflect soil moisture distribution in the studied area. The surface soil moisture in this area based on the model inversion was generally low, and the area with the moisture content less than 0.15 cm~3/cm~3 accounted for 96.47%. And most of these areas were far away from lakes and reservoirs. According to different land types and soil moisture distribution, 2 different land types such as grassland and sandy land were statistically analyzed. The results showed that the different cover types had a quite different moisture content, with an average of 0.087 cm~3/cm~3 for grassland in August, 0.026 cm~3/cm~3 for sandy land in August, 0.102 cm~3/cm~3for grassland in September, 0.029 cm~3/cm~3 for a sandy land in September. The surface characteristics of soil moisture spatial distribution for grassland was consistent with the sandy land. The accuracy verification of grassland, sandy land and the whole inversion results showed that the average relative error was less than 10%. Generally, the soil moisture content in the studied area decreased gradually from east to west and from north to south.
中文关键词	土壤 ; 水分 ; 遥感 ; 干旱 ; 干旱指数 ; 荒漠草原
英文关键词	soils moisture remote sensing drought drought index desert grassland
语种	中文
国家	中国
收录类别	CSCD
WOS类目	REMOTE SENSING
WOS研究方向	Remote Sensing
CSCD记录号	CSCD:6550209
来源机构	内蒙古农业大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/239349
作者单位	1.内蒙古农业大学水利与土木建筑工程学院, 呼和浩特, 内蒙古 010018, 中国; 2.内蒙古气象科学研究所, 呼和浩特, 内蒙古 010051, 中国
推荐引用方式 GB/T 7714	王思楠,李瑞平,李夏子. 基于综合干旱指数的毛乌素沙地腹部土壤水分反演及分布[J]. 内蒙古农业大学,2019,35(13):113-121.
APA	王思楠,李瑞平,&李夏子.(2019).基于综合干旱指数的毛乌素沙地腹部土壤水分反演及分布.农业工程学报,35(13),113-121.
MLA	王思楠,et al."基于综合干旱指数的毛乌素沙地腹部土壤水分反演及分布".农业工程学报 35.13(2019):113-121.