Monitoring seasonal groundwater storage anomalies using remote sensing

Abstract

Knowledge of the dynamics of groundwater storage is essential in understanding its driving processes and for informed decision-making.  This requires data with adequate precision, which can be obtained from insitu observations and remote sensing products. While  field-based methods are expensive to conduct in low-income countries, satellite products are relatively cheap and provide near  real-time data to monitor groundwater resources. This study analyses the seasonal dynamics of groundwater storage anomalies in Zimbabwe. The study utilised the Gravity Recovery and Climate Experiment (GRACE) satellite groundwater monthly point data spanning  January 2011 to July 2017. Ordinary kriging was performed to show the spatial variations of groundwater anomaly levels for individual  months. Maps for the dry season from April to October were merged together as well as for the wet season from November to March.  The final raster maps showed long-term average groundwater level anomalies for each season. Findings show significant variations in  groundwater storage level anomalies within and between seasons. The general pattern is that groundwater storage levels increased  from the south to north of Zimbabwe. During the wet and dry seasons of 2015, almost 75% of the country had an increase in  groundwater storage. This rapid approach using satellite-derived groundwater data, in comparison to other optical remote sensing  techniques, is useful for rapid groundwater assessment and management.