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	Calculating soil moisture by remote sensing and analyzing hydrologic cycle process in the Yellow River basin
	Yang S. T. ; Liu C. M.
	2004
关键词	the Yellow River soil moisture remote sensing hydrologic cycle vegetation index temperature difference
英文摘要	Based on the AVHRR pathfinder remote sensing data, soil moisture, precipitation and evaporation during the period of 1982-1998, soil moisture of all layers of soil-profile (0-1 m) in the Yellow River basin over the 17 years are calculated by the remote sensing model of calculating soil water. The Yellow River basin is divided into seven subcatchments as control sections at the location of six hydrologic stations (Lanzhou, Toudaoguai, Longmen, Sanmenxia, Huayuankou and Lijin). After calculating soil moisture and obtaining runoff data and precipitation data, the dynamical features of hydrological cycle in the Yellow River basin are analyzed for the period from 1982 to 1988 using water balance method. The conclusions are as follows: It is feasible to calculate the soil water on the macro-scale, in the soil profile with temporal continuity by means of remote sensing and survey in land. Some values of the key water cycle factors in the Yellow River are obtained, which include the annual precipitation of 4000 km(3), the evapotranspiration of 3000-3500 km(3), and the soil moisture transformation of -500-500 km(3). Consequently, we analyzed the process of the water cycle in the Yellow River over the 17 years, and the results show that the segment upstream of Lanzhou city is a relatively humid region, and the area of internal waters and the reaches of Shanshan is the most desiccated region. Therefore, the runoff in the depth process is intensive and the runoff-generating process is weak in more arid regions.
出处	Science in China Series E-Engineering & Materials Science
卷	47
页	1-13
收录类别	SCI
语种	英语
ISSN号	1006-9321
内容类型	SCI/SSCI论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/22583]
专题	地理科学与资源研究所_历年回溯文献
推荐引用方式 GB/T 7714	Yang S. T.,Liu C. M.. Calculating soil moisture by remote sensing and analyzing hydrologic cycle process in the Yellow River basin. 2004.

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