Arid
DOI10.1016/j.scitotenv.2021.149323
Assessing environmental water requirement for groundwater-dependent vegetation in arid inland basins by combining the copula joint distribution function and the dual objective optimization: An application to the Turpan Basin, China
Huang, Feng; Ochoa, Carlos G.; Chen, Xi
通讯作者Huang, F (corresponding author), Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China.
来源期刊SCIENCE OF THE TOTAL ENVIRONMENT
ISSN0048-9697
EISSN1879-1026
出版年2021
卷号799
英文摘要Preserving groundwater-dependent terrestrial ecosystems through environmental water allocation is critical for sustainable development in arid inland basins. Assessing the environmental water requirement is challenging due to the complex relationship between vegetation growth and groundwater depth. This study proposed a new assessment method by combining the copula joint distribution function and the dual objective optimization. The copula joint distribution function was used to describe the relationship between vegetation and groundwater depth instead of the traditional regression analysis. Given an ecological protection target, the conditional probability of achieving the target was estimated using the copula joint distribution. The groundwater depth interval with relatively high probability was suitable for vegetation growth and correspondingly conducive for ecological protection. In addition to ecological protection, the socio-economic water requirement was incorporated into the environmental water assessment, resulting in a dual optimization problem that could be resolved by the ideal point method. The optimization analysis revealed a groundwater depth with a high probability of successful ecological protection and low groundwater evapotranspiration to balance vegetation and human demands for groundwater. The proposed method of environmental water assessment by combing copula joint distribution function and dual objective optimization was applied in the Turpan Basin, an arid inland basin in Northwest China. The environmental groundwater depth ranged between 6 and 20 m, and the optimized interval was 7-8 m. The optimal environmental groundwater depth resulted in a probability of 0.46 to achieve the ecological protection target and annual evapotranspiration of 983 mm. The proposed method was practical and reliable and could be an effective tool for assessing the environmental water requirement of groundwater-dependent vegetation in arid inland basins. (c) 2021 Elsevier B.V. All rights reserved.
英文关键词Environmental water requirement Groundwater-dependent vegetation Copula joint distribution Dual objective optimization Turpan Basin Arid inland basins
类型Article
语种英语
收录类别SCI-E
WOS记录号WOS:000701743500010
WOS关键词DESERT RIPARIAN FOREST ; RIVER ; ECOSYSTEMS ; RESTORATION ; NORTHWEST ; RESPONSES ; TREES
WOS类目Environmental Sciences
WOS研究方向Environmental Sciences & Ecology
来源机构河海大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/364594
作者单位[Huang, Feng; Chen, Xi] Hohai Univ, Coll Hydrol & Water Resources, Nanjing 210098, Peoples R China; [Huang, Feng; Ochoa, Carlos G.] Oregon State Univ, Coll Agr Sci, Ecohydrol Lab, Corvallis, OR 97331 USA; [Chen, Xi] Tianjin Univ, Inst Surface Earth Syst Sci, Tianjin 300072, Peoples R China
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Huang, Feng,Ochoa, Carlos G.,Chen, Xi. Assessing environmental water requirement for groundwater-dependent vegetation in arid inland basins by combining the copula joint distribution function and the dual objective optimization: An application to the Turpan Basin, China[J]. 河海大学,2021,799.
APA Huang, Feng,Ochoa, Carlos G.,&Chen, Xi.(2021).Assessing environmental water requirement for groundwater-dependent vegetation in arid inland basins by combining the copula joint distribution function and the dual objective optimization: An application to the Turpan Basin, China.SCIENCE OF THE TOTAL ENVIRONMENT,799.
MLA Huang, Feng,et al."Assessing environmental water requirement for groundwater-dependent vegetation in arid inland basins by combining the copula joint distribution function and the dual objective optimization: An application to the Turpan Basin, China".SCIENCE OF THE TOTAL ENVIRONMENT 799(2021).
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