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Estimating groundwater storage changes in the Mississippi River basin (USA) using GRACE

机译:使用GRACE估算密西西比河流域(美国)的地下水储量变化

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摘要

Based on satellite observations of Earth's time variable gravity field from the Gravity Recovery and Climate Experiment (GRACE), it is possible to derive variations in terrestrial water storage, which includes groundwater, soil moisture, and snow. Given auxiliary information on the latter two, one can estimate groundwater storage variations. GRACE may be the only hope for groundwater depletion assessments in data-poor regions of the world. In this study, soil moisture and snow were simulated by the Global Land Data Assimilation System (GLDAS) and used to isolate groundwater storage anomalies from GRACE water storage data for the Mississippi River basin and its four major sub-basins. Results were evaluated using water level records from 58 wells set in the unconfined aquifers of the basin. Uncertainty in the technique was also assessed. The GRACE-GLDAS estimates compared favorably with the well based time series for the Mississippi River basin and the two sub-basins that are larger than 900,000 km(2). The technique performed poorly for the two sub-basins that have areas of approximately 500,000 km(2). Continuing enhancement of the GRACE processing methods is likely to improve the skill of the technique in the future, while also increasing the temporal resolution.
机译:根据重力恢复和气候实验(GRACE)对地球时变重力场的卫星观测,可以推导出包括地下水,土壤湿度和积雪在内的陆地储水量的变化。给定关于后两者的辅助信息,人们可以估算出地下水的储量变化。 GRACE可能是世界数据贫乏地区评估地下水枯竭的唯一希望。在这项研究中,通过全球土地数据同化系统(GLDAS)对土壤水分和积雪进行了模拟,并将其用于从密西西比河流域及其四个主要子流域的GRACE储水量数据中分离出地下水储量异常。使用在该盆地无限制含水层中设置的58口井的水位记录对结果进行了评估。还评估了技术的不确定性。与密西西比河流域和两个大于900,000 km(2)的子流域的基于井眼的时间序列相比,GRACE-GLDAS估算值具有优势。对于面积约为500,000 km(2)的两个子流域,该技术的效果很差。 GRACE处理方法的不断增强很可能在将来提高该技术的技能,同时还可以提高时间分辨率。

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