NDLI: R/S-based trend prediction of the factors that affect the groundwater resources changes in Minqin Oasis

Content Provider	IEEE Xplore Digital Library
Author	Yanping Liu Jianjun Cao
Copyright Year	2012
Description	Author affiliation: GIS Department, Lanzhou Jiaotong University, 730070, China (Yanping Liu) \|\| State Key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 430079, China (Jianjun Cao)
Abstract	To predict the influencing factors in the groundwater resources changes is one of preliminary work in predicting of the groundwater resource's changes, which plays an important role in using groundwater reasonably in arid areas, such as Minqin Oasis. This study uses a so-called R/S Analysis method to predict three major factors that affect the groundwater resources change in Minqin Oasis i.e. population, grain yield and the quantity of the upstream inflow. The results show that the Hurt index of the time series about the population in the Oasis is 0.733, which indicates that the future general changing trend of population in the Oasis is an increasing trend as the same as that in the period from 1960 to 2010. The Hurt index of the time series about grain yield in this Oasis is 0.901, which states that its future changing trend has a stronger long-term positive correlation with the increasing trend in the period from 1960 to 2010. In other words, its' future general changing trend is also increasing. The Hurt index of the quantity of upstream inflow in the Oasis is 0.916, which shows that its future general changing trend has a very strong long-term positive correlation with the decreasing trend in the period from 1960 to 2010, presenting a decreasing trend.
Starting Page	1
Ending Page	4
File Size	461709
Page Count	4
File Format	PDF
ISBN	9781467312837
e-ISBN	9781467312820
DOI	10.1109/GIWRM.2012.6349535
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-19
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Correlation Trend prediction Groundwater resources Time series analysis Sociology Minqin Oasis Market research Indexes Influencing factors Water resources
Content Type	Text
Resource Type	Article

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