Physical influencing factors of groundwater depth in Hotan Oasis

Liu, Min; Huang, Lingmei; Shen, Bing; Shen, Yanjun

doi:10.3724/sp.j.1011.2009.00174

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%

Spatial and temporal groundwater dynamics in extreme arid basins

Wei,

Guo,

Zhou

et al. 2024

Hydrological Processes

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To accurately obtain the spatial distribution characteristics of groundwater level in an extremely arid zone and its dynamic change patterns under the influence of human activities, based on the data of 55 groundwater observation wells in the middle and lower reaches of the Kriya River, spatial interpolation of regional groundwater level data were performed using the inverse distance weight, spline function, trend surface, and the ordinary kriging methods. The optimal interpolation method was selected by its accuracy to spatially interpolate the groundwater level data in the study area from 2019 to 2021. The results show that: (1) the ordinary kriging method has the highest interpolation accuracy (MAE = 7.1393, MRE = 0.0058, RMSE = 9.4314) and reflects the spatial and temporal variability and distribution characteristics of groundwater levels with great accuracy. (2)The relationship between surface water–groundwater recharge and discharge in different areas of the river channel in the desert section varies depending on geological structure, surface water seepage, and other elements. (3) Groundwater in the Taklamakan Desert has little effect on groundwater recharge in the Dariyabui Oasis, and changes in groundwater dynamics in the oasis are predominantly influenced by surface runoff. (4) Monthly changes in groundwater levels in the Yutian Oasis are continuous, with ‘V’ shaped fluctuations, a declining trend in the southern part, no significant change in the central part, and a slight increase in the northern part. These results contribute to the sustainable management of water resources in the Kriya River Basin, provide a basis for groundwater prediction, and offer a reference for studies of other, similar extreme desert area basins.

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Section: Discussionmentioning

confidence: 99%

Spatial and temporal groundwater dynamics in extreme arid basins

Wei,

Guo,

Zhou

et al. 2024

Hydrological Processes

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“…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%

Complexity measure of regional groundwater resources system based on wavelet entropy: a case study of Jiansanjiang Administration of Heilongjiang land reclamation in China

Liu

et al. 2014

Environ Earth Sci

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The present scholars in the study of the evolution of a regional groundwater resource system tend to ignore the complexity of the system itself, making it difficult to truly realize the scientific management of groundwater resources. Thus, the quantization characteristics of the complexity of the regional groundwater resource system have become a hot issue concerned in the field of hydrology. In this paper, taking Jiansanjiang Administration of Agricultural Reclamation, Heilongjiang, China for example, a wavelet entropy method is used for diagnosing each of its monthly groundwater depth sequence complexity to determine the order of the complexity, thus calculating the averaged wavelet entropy of the monthly groundwater depth sequence for each zone and revealing the local monthly groundwater depth sequence complexity has an obvious regional characteristic gradually decreased from north to south. Through comparative analysis of three kinds of complexity measure algorithms, including wavelet entropy, multi-scale semi-square difference dimension, and sample entropy, we find that the diagnostic result of the complexity of the wavelet entropy algorithm has sufficient visibility and high operational efficiency, so that it is an effective way to measure the hydrological sequence complexity. The results of the analysis of the cause of the local monthly groundwater depth sequence complexity show that: changes in precipitation and agricultural production activities are the critical driving factors for the dynamic changes in the local groundwater depth sequence. Research result reveals the rules of the spatial variation on the local groundwater depth complexity and provides a research model for the research of the process complexity of regional hydrology as well as a scientific basis on zone management and sustainable use of regional groundwater resources.

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“…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%

Collision Detection between Rigid Bodies Based on Adaptive Test Lines

Shao

Gao

Liu

2013

AMR

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A novel algorithm, which can check the collision point of rigid objects continuously and solve the problem of penetration and crossing in collision detection effectively, is presented in this paper. At each simulation moment, the adaptive test lines (ATLs) are first constructed based on the velocity vector of the moving object and then the intersection between the ATLs and the environment is calculated. The collision happens when the intersection is not empty and the collision point is obtained through crossing-frame processing. By checking the interference between body and ATLs instead of bodies, we greatly improve the detection efficiency. It avoids missing collisions for an object with arbitrary shape or in any motion states. Simulation results show that our algorithm runs faster than the general continuous collision detection algorithms and has similar detection effects to the swept volume algorithm.

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Physical influencing factors of groundwater depth in Hotan Oasis

Cited by 5 publications

References 0 publications

Spatial and temporal groundwater dynamics in extreme arid basins

Spatial and temporal groundwater dynamics in extreme arid basins

Complexity measure of regional groundwater resources system based on wavelet entropy: a case study of Jiansanjiang Administration of Heilongjiang land reclamation in China

Collision Detection between Rigid Bodies Based on Adaptive Test Lines

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