Spatiotemporal analysis of GRACE-based groundwater storage variation in North China Plain

doi:10.6046/gtzyyg.2018.02.18

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Abstract

GWSA (groundwater storage anomaly) data of North China Plain from 2003 to 2015 were estimated from terrestrial water storage change (TWSC) data retrieved by monthly GRACE (gravity recovery and climate experiment). The EOF (empirical orthogonal function) method was applied to analyzing the GWSA, and it is shown that cumulative contribution rate of the first three EOF modes reached up to 96.35%. The explanation rate of the total variance of first mode reached about 80%. It is shown that GWSA in the North China Plain behaved consistently descending in the whole region with obvious seasonal fluctuations, caused by groundwater exploitation and precipitation. The second and third mode, with an explanation rate of about 12% and 5%, showed that spatial pattern in northeast-southwest direction and that in northwest-southeast direction were obviously opposite. However, no significant temporal diversification was found, presumably mainly controlled by water cycle under the coastal-inland, piedmont-plain and hydrogeological conditions. This study helps to further understand the spatiotemporal characteristics and drive mechanism of groundwater change in North China Plain.

Keywords ground water storage variations North China Plain GRACE EOF

TV211.1

Issue Date: 30 May 2018

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	Qiuyan SHU
	Yun PAN
	Huili GONG
	Zhiyong HUANG
	Longqun ZHENG

Cite this article:

Qiuyan SHU,Yun PAN,Huili GONG, et al. Spatiotemporal analysis of GRACE-based groundwater storage variation in North China Plain[J]. Remote Sensing for Land & Resources, 2018, 30(2): 132-137.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2018.02.18 OR https://www.gtzyyg.com/EN/Y2018/V30/I2/132

Fig.1 Location of study region

Fig.2 Temporal variation of GRACE GWS and GWS in situ

Tab.1 Annual amplitude of GRACE GWS and GWS in situ (mm)

Tab.2 Accumulated variance contribution rate of the first 5 EOF models of GWS in North China Plain (%)

Fig.3 Characteristic root of each EOF model of GWS in North China Plain

Fig.4 Three feature vector fields of variety of GWS from 2003 to 2015 in North China Plain

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