干旱区生态环境知识资源中心(Arid): Prediction of groundwater depth in an arid region based on maximum tree height

Arid

DOI	10.1016/j.jhydrol.2019.04.022
	Prediction of groundwater depth in an arid region based on maximum tree height
	Yang, Xiao-Dong 1,2,3; Qie, Ya-Dong 2; Teng, De-Xiong 2; Ali, Arshad 4; Xu, Yilu 5; Bolan, Nanthi 3; Liu, Wei-Guo 1,2; Lv, Guang-Hui1,6 ; Ma, Li-Gang 1,2; Yang, Sheng-Tian 2; Zibibula, Simayi 1,2
通讯作者	Lv, Guang-Hui
来源期刊	JOURNAL OF HYDROLOGY
ISSN	0022-1694
EISSN	1879-2707
出版年	2019
卷号	574 页码:46-52
英文摘要	Groundwater is the most important water resource in arid regions. However, the groundwater traditional models and field measurements are limited due to the fluctuations in hydrological cycles and the difficulty in the accurate quantification of associated parameters. Here, we hypothesized that maximum potential tree height could be used to predict groundwater depth due to the hydraulic limitation of water transportation. To address this hypothesis, we measured two proxy indicators of maximum potential tree height, i.e, the maxima of heights and volumes, of three common dominant tree species in northwest China to construct classical measurement error (CME) model for predicting groundwater depth in an arid region. Our results showed that the optimal model based on maximum tree height had the best predictive performance of groundwater depth, particularly the tallest plant species. The CME model showed that maximum tree height played a vital role in predicting groundwater depth. Mathematically the model can be expressed as: [E(ln(Dw)vertical bar ln(Th), theta) = 7.11 - 1.85E (x vertical bar ln(Th), theta), where Dw and Th are respectively the theoretical values of groundwater depth and maximum tree height; xis the measured maximum tree height; theta = {7.11, -1.85, 7.19, 0.15, 1.91, 13.45}; R-2 = 0.82; Marginal log-Likelihood = -131.04; RMSE = 0.33]. In addition, Leave-One-Out Cross-Validation together with correlation analysis indicated that groundwater depth prediction based on maximum tree height in arid regions was an accurate and promising approach. In conclusion, our study showed that the hydraulic limitation of water transportation led to a negative relationship between maximum tree height and groundwater depth. Our developed model for predicting groundwater depth with maximum tree height has provided the important basis for the conservation and management of groundwater resources in arid regions.
英文关键词	Arid region Groundwater depth Predictive model Maximum tree height Tallest plant species
类型	Article
语种	英语
国家	Peoples R China ; Australia ; Wales
收录类别	SCI-E
WOS记录号	WOS:000476962800005
WOS关键词	HYDRAULIC LIMITS ; PLANT HEIGHT ; VEGETATION ; TRANSPIRATION ; ARCHITECTURE ; DIVERSITY
WOS类目	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向	Engineering ; Geology ; Water Resources
来源机构	新疆大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/217156
作者单位	1.Key Lab Oasis Ecol, Urumqi 830046, Peoples R China; 2.Xinjiang Univ, Inst Resources & Environm Sci, 14 Shengli Rd, Urumqi 830046, Peoples R China; 3.Univ Newcastle UON, GCER, Newcastle, NSW 2308, Australia; 4.South China Normal Univ, Sch Life Sci, Spatial Ecol Lab, Guangzhou 510631, Guangdong, Peoples R China; 5.Swansea Univ, Coll Engn, Bay Campus, Swansea SA1 8EN, W Glam, Wales; 6.Xinjiang Univ, Inst Arid Ecol & Environm, Urumqi 830046, Peoples R China
推荐引用方式 GB/T 7714	Yang, Xiao-Dong,Qie, Ya-Dong,Teng, De-Xiong,et al. Prediction of groundwater depth in an arid region based on maximum tree height[J]. 新疆大学,2019,574:46-52.
APA	Yang, Xiao-Dong.,Qie, Ya-Dong.,Teng, De-Xiong.,Ali, Arshad.,Xu, Yilu.,...&Zibibula, Simayi.(2019).Prediction of groundwater depth in an arid region based on maximum tree height.JOURNAL OF HYDROLOGY,574,46-52.
MLA	Yang, Xiao-Dong,et al."Prediction of groundwater depth in an arid region based on maximum tree height".JOURNAL OF HYDROLOGY 574(2019):46-52.