干旱区生态环境知识资源中心(Arid): Remote Sensing Monitoring Method for Groundwater Level on Aeolian Desertification Area

Arid

DOI	10.3103/S1063455X20060090
	Remote Sensing Monitoring Method for Groundwater Level on Aeolian Desertification Area
	Chen Siming; Aidi, Huo; Wenke, Guan
通讯作者	Aidi, H (corresponding author), Changan Univ, Minist Educ, Key Lab Subsurface Hydrol & Ecol Effects Arid Reg, Xian, Shaanxi, Peoples R China. ; Aidi, H (corresponding author), Changan Univ, Sch Water & Environm, Xian 710054, Shaanxi, Peoples R China. ; Guan, WK (corresponding author), Xinjiang Acad Forestry, Afforestat Desert Control Res Inst, Urumqi, Peoples R China.
来源期刊	JOURNAL OF WATER CHEMISTRY AND TECHNOLOGY
ISSN	1063-455X
EISSN	1934-936X
出版年	2020
卷号	42 期号:6 页码:522-529
英文摘要	Groundwater is one of the most important natural resources. Regional groundwater depth is an important parameter for understanding groundwater resources and maintaining sustainable development of water resources and environment. The middle reaches of the Tarim River in Xinjiang are the most primitive and well-preserved place in the world, which provides valuable resources in studying the response mechanism of surface vegetation to the groundwater level. The ecological environment of Tarim River Basin has been deteriorating, and Populuseuphratica forest has died, which is directly related to the decrease of water inflow and groundwater level around the Tarim River. To obtain the spatial distribution of the groundwater level, this study uses the MODIS satellite remote sensing image data and the remote sensing-mathematical-model of a fusion science research methods, based on the field investigation of the groundwater level, soil moisture, and other supporting information on Aeolian desertification area in the middle reaches of Tarim River in Xinjiang. Through the experimental equation of the soil moisture and groundwater level, a simple and effective remote sensing method was proposed. This method is used to evaluate the spatial distribution of groundwater level based on the MODIS image data when there is capillary supply in the soil. This model was field-proven on the desertification area in the middle reaches of Tarim River. The results indicate that the correlation coefficient between the inversion of groundwater depth and the measured groundwater level is 0.89, which are realistic with small errors. So it is feasible to monitor and assess the spatial distribution of groundwater table depth in desertification areas with a large groundwater depth of 6 m or less. This study is helpful to provide critical area for the ecological environment monitoring and restoration, and ultimately serve the sustainable development of water and environment.
英文关键词	Aeolian areas MODIS image data groundwater level monitoring Model Xinjiang
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000613489100012
WOS关键词	WATER ; MODEL
WOS类目	Chemistry, Applied ; Chemistry, Analytical ; Chemistry, Physical
WOS研究方向	Chemistry
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/349062
作者单位	[Chen Siming; Aidi, Huo] Changan Univ, Minist Educ, Key Lab Subsurface Hydrol & Ecol Effects Arid Reg, Xian, Shaanxi, Peoples R China; [Chen Siming; Aidi, Huo] Changan Univ, Sch Water & Environm, Xian 710054, Shaanxi, Peoples R China; [Wenke, Guan] Xinjiang Acad Forestry, Afforestat Desert Control Res Inst, Urumqi, Peoples R China
推荐引用方式 GB/T 7714	Chen Siming,Aidi, Huo,Wenke, Guan. Remote Sensing Monitoring Method for Groundwater Level on Aeolian Desertification Area[J],2020,42(6):522-529.
APA	Chen Siming,Aidi, Huo,&Wenke, Guan.(2020).Remote Sensing Monitoring Method for Groundwater Level on Aeolian Desertification Area.JOURNAL OF WATER CHEMISTRY AND TECHNOLOGY,42(6),522-529.
MLA	Chen Siming,et al."Remote Sensing Monitoring Method for Groundwater Level on Aeolian Desertification Area".JOURNAL OF WATER CHEMISTRY AND TECHNOLOGY 42.6(2020):522-529.