Assessing the influence of precipitation on shallow groundwater table response using a combination of singular value decomposition and cross-wavelet approaches

Qi, Peng; Zhang, Guangxin; Xu, Y. Jun; Wang, Lei; Ding, Changchun; Cheng, Chunyang. 2018 Assessing the influence of precipitation on shallow groundwater table response using a combination of singular value decomposition and cross-wavelet approaches. Water, 10 (5), 598. 10.3390/w10050598

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Official URL: http://dx.doi.org/10.3390/w10050598

Abstract/Summary

Identifying the spatiotemporal change of the groundwater table to precipitation at the river basin scale can be important for regional water resource management. In this study, we proposed a method that combines singular value decomposition and cross-wavelet approaches to analyze the relationship between groundwater level dynamics and precipitation. The method was applied to the Naoli River Basin, Northeast China. Moreover, the method of continuous wavelet using fast Fourier transform was also used to reveal clearly the relationship between groundwater level and heavy precipitation. The results showed that the major mode of relationship between groundwater and precipitation was divided into four patterns in the study area. In general, the lag time is 27.4 (standard deviation: ±8.1) days in pattern 1, 107.5 (standard deviation: ±13.2) days in pattern 2, 139.9 (standard deviation: ±11.2) days in pattern 3, and 173.4 (standard deviation: ±20.3) days in pattern 4, respectively. In addition, the response of groundwater level dynamics is very sensitive to heavy precipitation in all patterns. Therefore, enhancing the utilization of heavy rainfall and flood resources is an effective way to increase groundwater recharge in this basin

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.3390/w10050598
ISSN:	2073-4441
Additional Keywords:	GroundwaterBGS, Groundwater, Groundwater modelling
Date made live:	02 Nov 2018 15:50 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/521431

Item Type:

Publication - Article

Digital Object Identifier (DOI):

10.3390/w10050598

ISSN:

2073-4441

Additional Keywords:

GroundwaterBGS, Groundwater, Groundwater modelling

Date made live:

02 Nov 2018 15:50 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/521431