Next Article in Journal
Estimating Land Surface Temperature from Landsat-8 Data using the NOAA JPSS Enterprise Algorithm
Next Article in Special Issue
Separation and Recovery of Geophysical Signals Based on the Kalman Filter with GRACE Gravity Data
Previous Article in Journal
An Efficient Framework for Remote Sensing Parallel Processing: Integrating the Artificial Bee Colony Algorithm and Multiagent Technology
Previous Article in Special Issue
Recent Surface Deformation in the Tianjin Area Revealed by Sentinel-1A Data
Open AccessArticle

Determining Regional-Scale Groundwater Recharge with GRACE and GLDAS

by Qifan Wu 1, Bingcheng Si 1,2,*, Hailong He 1,* and Pute Wu 1
Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling 712100, China
Department of Soil Science, University of Saskatchewan, Saskatoon, SK S7N 5C8, Canada
Authors to whom correspondence should be addressed.
Remote Sens. 2019, 11(2), 154;
Received: 10 November 2018 / Revised: 9 January 2019 / Accepted: 11 January 2019 / Published: 15 January 2019
(This article belongs to the Special Issue GRACE Facing the Challenge of Extreme Spatial and Temporal Scales)
Groundwater recharge (GR) is a key component of regional and global water cycles and is a critical flux for water resource management. However, recharge estimates are difficult to obtain at regional scales due to the lack of an accurate measurement method. Here, we estimate GR using Gravity Recovery and Climate Experiment (GRACE) and Global Land Data Assimilation System (GLDAS) data. The regional-scale GR rate is calculated based on the groundwater storage fluctuation, which is, in turn, calculated from the difference between GRACE and root zone soil water storage from GLDAS data. We estimated GR in the Ordos Basin of the Chinese Loess Plateau from 2002 to 2012. There was no obvious long-term trend in GR, but the annual recharge varies greatly from 30.8 to 66.5 mm year−1, 42% of which can be explained by the variability in the annual precipitation. The average GR rate over the 11-year period from GRACE data was 48.3 mm year−1, which did not differ significantly from the long-term average recharge estimate of 39.9 mm year−1 from the environmental tracer methods and one-dimensional models. Moreover, the standard deviation of the 11-year average GR is 16.0 mm year−1, with a coefficient of variation (CV) of 33.1%, which is, in most cases, comparable to or smaller than estimates from other GR methods. The improved method could provide critically needed, regional-scale GR estimates for groundwater management and may eventually lead to a sustainable use of groundwater resources. View Full-Text
Keywords: water table fluctuation; water storage fluctuation; Loess Plateau; Ordos Basin; interannual groundwater recharge; GRACE water table fluctuation; water storage fluctuation; Loess Plateau; Ordos Basin; interannual groundwater recharge; GRACE
Show Figures

Graphical abstract

MDPI and ACS Style

Wu, Q.; Si, B.; He, H.; Wu, P. Determining Regional-Scale Groundwater Recharge with GRACE and GLDAS. Remote Sens. 2019, 11, 154.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Back to TopTop