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Comprehensive groundwater safety assessment under potential shale gas contamination based on integrated analysis of reliability-resilience-vulnerability and gas migration index

文献类型：期刊论文

作者Lu, Hongwei3; Kang, Yu1; Liu, Lei1; Li, Jing2,4
刊名JOURNAL OF HYDROLOGY
出版日期2019-11-01
卷号578页码:11
关键词Shale gas Gas migration Groundwater Spatiotemporal variation
ISSN号0022-1694
DOI10.1016/j.jhydrol.2019.124072
通讯作者Lu, Hongwei(luhw@igsnrr.ac.cn) ; Li, Jing(lijingb10@hebtu.edu.cn)
英文摘要This study proposes a new integrated framework to evaluate groundwater safety by characterizing the short-term spatiotemporal variations of methane migration risk attributed to shale gas development. A set of probabilistic-and conditionally probabilistic-based algorithms is used to represent the temporal and spatial distributions of reliability-resilience-vulnerability (RRV) over the study domain. Using RRV calculation and copula functions, the gas migration index (GMI) is calculated to identify the interrelationships among RRV for identifying the synergetic variation of RRV levels. The framework is demonstrated and discussed through the southwest shale of Bradford County, Pennsylvania. Results show that 1) reliability is quite high ( > 0.7) over the southern parts while the midland remains high risk of contamination; 2) low-level reliability spreads to the northern and southern areas from the central parts and gradually diffuses through most grids sparsely; reliability implies negative correlations with methane concentrations; 3) the spatiotemporal variation of resilience has high concordance with those of reliability except subtle discrepancies; and 4) the spatial distribution of high-level vulnerability has subtler classifications besides similar outlines to that of low-reliability. Moreover, results from the GMI analysis show that 1) the gas migration risk is consistently low in the south and the north in middle blocks and 2) high-level GMI shows an apparent rampant tendency across the blocks and spreads to the whole north ultimately. Therefore, GMI is better at characterizing groundwater contamination risk than using a single metric. The framework will contribute significantly to improve management practices taken by shale gas operators and regulators in protecting groundwater quality.
WOS关键词WATER-RESOURCE SYSTEM ; SPATIOTEMPORAL VARIATION ; MARCELLUS ; QUALITY ; WELLS ; PENNSYLVANIA ; MANAGEMENT ; IMPACTS ; OPTIMIZATION ; PROPENSITY
资助项目National Natural Science Foundation of China[41890824] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20040301] ; Science Foundation of Hebei Normal University[L052018B01]
WOS研究方向Engineering ; Geology ; Water Resources
语种英语
WOS记录号WOS:000497250200085
出版者ELSEVIER
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Science Foundation of Hebei Normal University
源URL[http://ir.igsnrr.ac.cn/handle/311030/130590]  
专题中国科学院地理科学与资源研究所
通讯作者Lu, Hongwei; Li, Jing
作者单位1.North China Elect Power Univ, Sch Renewable Energy, Beijing 102206, Peoples R China
2.Hebei Normal Univ, Hebei Key Lab Environm Change & Ecol Construct, Shijiazhuang 050024, Hebei, Peoples R China
3.Chinese Acad Sci, Key Lab Water Cycle & Related Land Surface Proc, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
4.Hebei Normal Univ, Coll Resource & Environm Sci, Shijiazhuang 050024, Hebei, Peoples R China
推荐引用方式
GB/T 7714		 Lu, Hongwei,Kang, Yu,Liu, Lei,et al. Comprehensive groundwater safety assessment under potential shale gas contamination based on integrated analysis of reliability-resilience-vulnerability and gas migration index[J]. JOURNAL OF HYDROLOGY,2019,578:11.
APA Lu, Hongwei,Kang, Yu,Liu, Lei,&Li, Jing.(2019).Comprehensive groundwater safety assessment under potential shale gas contamination based on integrated analysis of reliability-resilience-vulnerability and gas migration index.JOURNAL OF HYDROLOGY,578,11.
MLA Lu, Hongwei,et al."Comprehensive groundwater safety assessment under potential shale gas contamination based on integrated analysis of reliability-resilience-vulnerability and gas migration index".JOURNAL OF HYDROLOGY 578(2019):11.

入库方式： OAI收割

来源：地理科学与资源研究所

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