An ecology-oriented exploitation mode of groundwater resources in the northern foot of Tianshan Mountain, China [electronic resource].
- Published
- Washington, D.C. : United States. Dept. of Energy, 2016.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy - Physical Description
- 386-394 : digital, PDF file
- Additional Creators
- Los Alamos National Laboratory, United States. Department of Energy, National Natural Science Foundation of China (NSFC), and United States. Department of Energy. Office of Scientific and Technical Information
Access Online
- Restrictions on Access
- Free-to-read Unrestricted online access
- Summary
- In recent years, ecological degradation caused by irrational groundwater exploitation has been of growing concern in arid and semiarid regions. To address the groundwater-ecological issues, this paper proposes a groundwater-resource exploitation mode to evaluate the tradeoff between groundwater development and ecological environment in the northern Tianshan Mountains, northwest China’s Xinjiang Uygur Autonomous Region. Field surveys and remote sensing studies were conducted to analyze the relation between the distribution of hydrological conditions and the occurrence of ecological types. The results show that there is a good correlation between groundwater depth and the supergene ecological type. Numerical simulations and ecological assessment models were applied to develop an ecology-oriented exploitation mode of groundwater resources. The mode allows the groundwater levels in different zones to be regulated by optimizing groundwater exploitation modes. The prediction results show that the supergene ecological quality will be better in 2020 and even more groundwater can be exploited in this mode. This study provides guidance for regional groundwater management, especially in regions with an obvious water scarcity.
- Report Numbers
- E 1.99:la-ur-14-28260
la-ur-14-28260 - Subject(s)
- Other Subject(s)
- Note
- Published through SciTech Connect.
10/10/2016.
"la-ur-14-28260"
Journal of Hydrology ISSN 0022-1694 AM
Haimin Shang; Wenke Wang; Zhenxue Dai; Lei Duan; Yaqian Zhao; Jing Zhang. - Funding Information
- AC52-06NA25396
41230314
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