2009
DOI: 10.3724/sp.j.1011.2009.00174
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Physical influencing factors of groundwater depth in Hotan Oasis

Abstract: The influences of natural factors on groundwater depth in Hotan Oasis were analyzed by grey relational analysis and multiple linear regression models set up to test the precision of the analysis. The results show that temperature and evaporation are the most important influencing factors of groundwater depth. Groundwater depth sinks deeper with increasing temperature and evaporation. Runoff recharges groundwater and is the second important factor. Groundwater depth gets shallower with increasing runoff and gro… Show more

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Cited by 5 publications
(3 citation statements)
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“…Furthermore, the effects of other factors should be ignored when interpolating in space. Given the different spatial locations and topographic characteristics of the study area, the influencing factors with significant correlation (Manzione & Castrignanò, 2019), such as vegetation distribution (Zhao et al, 2005), surface temperature, and evapotranspiration (Liu et al, 2009) can be analyzed, and the introduction of factors such as normalized vegetation index, surface temperature, and potential evapotranspiration into the spatial interpolation model can be attempted to obtain a high interpolation accuracy. In addition to interpolation methods, factors such as raster cell size and sampling location can cause uncertainty in spatial information (Mueller et al, 2004; Zhang et al, 2015).…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, the effects of other factors should be ignored when interpolating in space. Given the different spatial locations and topographic characteristics of the study area, the influencing factors with significant correlation (Manzione & Castrignanò, 2019), such as vegetation distribution (Zhao et al, 2005), surface temperature, and evapotranspiration (Liu et al, 2009) can be analyzed, and the introduction of factors such as normalized vegetation index, surface temperature, and potential evapotranspiration into the spatial interpolation model can be attempted to obtain a high interpolation accuracy. In addition to interpolation methods, factors such as raster cell size and sampling location can cause uncertainty in spatial information (Mueller et al, 2004; Zhang et al, 2015).…”
Section: Discussionmentioning
confidence: 99%
“…Paddy field irrigation is focused on the groundwater exploitation (well irrigation rates in 2006 and 2007 were 97 and 97.7 %, respectively). In addition to the weather conditions (precipitation, evaporation and air temperature), the impact of the hydrogeological conditions (supply conditions) and other natural factors (Tian 2007;Liu et al 2009), the complexity of the groundwater depth change in Jiansanjiang Administration is increasingly remarkable. Therefore, it is necessary to diagnose the groundwater depth diagnostic sequence complexity of Jiansanjiang Administration, so as to provide evidences for the analysis of the groundwater depth development trend and the zone management of the groundwater resource.…”
Section: Research Region and Methodsmentioning
confidence: 99%
“…After obtaining the set of CSs, the next step is to construct the set of ATLs at moment t i . Firstly, using the method introduced in literature [11] to divide β m into variable size meshes. In order to avoid missing a collision of objects with any size and shape, the distance between any two vertices of grids should greater than the size of the smallest or thinnest object that ATLs may collide with in the scene.…”
Section: Construction Of Atlsmentioning
confidence: 99%