Taejun Park, Ki‐Weon Seo, Dongryeol Ryu, Jae‐Seung Kim, Daeha Lee, Jianli Chen, Clark R. Wilson
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引用次数: 0
摘要
气候变化和灌溉用水的增加导致地下水枯竭,这增加了对精确监测的需求。传统方法,如地下水位原位观测和抽水试验,对于评估地下水可用性和含水层特征很有价值,但在捕获流域尺度变化方面受到限制。重力恢复和气候实验(GRACE)能够估计流域尺度的地下水变化,尽管它的观测也包括气包带的地表水和土壤湿度(SM)。因此,需要关于非地下水成分的额外数据来隔离地下水的变化。在本研究中,我们使用土壤顶部0-120 cm的剖面SM含量作为渗透带SM的估计,该估算使用指数过滤技术,该技术应用于欧洲航天局气候变化倡议土壤湿度(ESA CCI SM)和现场数据。这种方法解决了传统模型的局限性,例如它们无法表示非自然或侧向水再分配。通过从GRACE数据中减去过滤后的SM,估算了澳大利亚维多利亚州南部地下水储量(GWS)的变化,并与非承压含水层和承压含水层的原位地下水位观测结果进行了验证。与传统的基于模式的估算相比,基于ESA CCI SM的估算在捕获原地GWS的季节和年际变化方面显示出明显的改进。建议的方法可能适用于大陆尺度的GWS估计。
Groundwater Storage Changes Using GRACE and ESA CCI Soil Moisture Products in Southern Victoria, Australia
Groundwater depletion, driven by climate change and increasing extraction for irrigation, has increased the need for accurate monitoring. Traditional methods, such as in situ water table observations and pumping tests, are valuable for assessing groundwater availability and aquifer characteristics but are limited in capturing basin‐scale variations. The Gravity Recovery and Climate Experiment (GRACE) enables estimation of basin‐scale groundwater changes, though its observations also include surface water and soil moisture (SM) in the vadose zone. Therefore, additional data on non‐groundwater components are needed to isolate groundwater variations. In this study, we use the profile SM content for the top 0–120 cm of soil as an estimate of vadose zone SM, derived using an exponential filtering technique applied to European Space Agency's Climate Change Initiative for Soil Moisture (ESA CCI SM) and in situ data. This approach addresses limitations of conventional models, such as their inability to represent non‐natural or lateral water redistribution. Groundwater storage (GWS) changes in southern Victoria, Australia were estimated by subtracting the filtered SM from GRACE data and validated against in situ groundwater level observations for both unconfined and confined aquifers. The ESA CCI SM‐based estimates showed clear improvements in capturing seasonal and interannual variability of in situ GWS compared to conventional model‐based estimates. The proposed approach is potentially applicable to GWS estimation at continental scales.
期刊介绍:
Water Resources Research (WRR) is an interdisciplinary journal that focuses on hydrology and water resources. It publishes original research in the natural and social sciences of water. It emphasizes the role of water in the Earth system, including physical, chemical, biological, and ecological processes in water resources research and management, including social, policy, and public health implications. It encompasses observational, experimental, theoretical, analytical, numerical, and data-driven approaches that advance the science of water and its management. Submissions are evaluated for their novelty, accuracy, significance, and broader implications of the findings.