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Monitoring runoff coefficients and groundwater levels using data from GRACE, GLDAS, and hydrometeorological stations: analysis of a Colombian foreland basin | Suivi des coefficients de ruissellement et des niveaux piézométriques en utilisant les données de GRACE, GLDAS et des stations hydrométéorologiques: étude d’un bassin d’avant-pays colombien Monitoreo de coeficientes de escorrentía y niveles de agua subterránea utilizando datos de GRACE, GLDAS y estaciones hidrometeorológicas: análisis de una cuenca de antepaís colombiana 采用重力恢复和气候实验数据、全球大地数据同化系统数据以及水文气象站等数据监测径流系数:哥伦比亚沿海地区平原的分析 Monitoramento dos coeficientes de escoamento superficial e níveis das águas subterrâneas, utilizando dados do GRACE, GLDAS e estações hidrometeorológicas: análise de uma bacia de ante-país Colombiana 全文
2018
Ospina M., Diana L. | Vargas J., Carlos A.
The determination of space–time variation in groundwater accumulation in Colombia’s Eastern Llanos foreland basin from 2003 to 2014 was done using terrestrial water storage (TWS) anomalies identified in two versions of the Gravity Recovery and Climate Experiment (GRACE) data—from the Global Data Center for Space Research (CSR) at the University of Texas at Austin (USA) and from the Institute of Geodesy at the Graz University of Technology (ITSG, Austria)—and also soil moisture storage (SMS) data from the Global Land Data Assimilation System (GLDAS). These data were compared to changes in groundwater storage obtained using the water-budget equation, calculated based on recorded data from hydrometeorological stations. This study confirmed the viability of using satellite information to understand and monitor temporal variation in groundwater recharge in the study area. Temporal variations in TWS, SMS, and groundwater level were shown to correspond to regional rain and drought periods, which are sensitive to climate phenomena such as El Niño and La Niña. Comparing changes in TWS and groundwater level to changes in infiltration and recharge revealed correlation coefficients of 0.56 and 0.98 with CSR data and 0.71 and 0.86 with ITSG data, respectively.
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