Tanya M. Doody, Sicong Gao, Zunyi Xie, Anthony P. O'Grady, Richard G. Benyon
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引用次数: 0
Abstract
Worldwide, groundwater dependent ecosystems (GDEs) support rare/endemic species, providing essential habitat and access to water when rivers, wetlands and springs are present. Two decades of research have focused on improving knowledge to describe GDEs and identify their location, providing information to facilitate their protection, especially in areas affected by anthropogenic development of groundwater resources. However, a key knowledge gap persists in understanding water requirements of GDEs, providing challenges to sustainable use of groundwater. More specifically, groundwater management must account for timing of GDE groundwater use (i.e., monthly, seasonally), duration of groundwater reliance, and importantly, volumes of groundwater discharged, particularly by vegetation. Without this knowledge, difficulties remain in setting sustainable volumetric groundwater extraction limits at local, catchment and basin scales. Within, we leverage a unique, extensive on-ground Australian forest groundwater discharge dataset rare to GDE studies, to validate simulated groundwater discharge estimates from the ‘ABCD’ hydrological model, where monthly model outputs over multiple years provide vegetation groundwater discharge data to specifically examine vegetation groundwater requirements. On-ground forest data consist of multi-year, sub-monthly, plot scale data across 18 sites, taking a water balance approach underpinned by sap flow data and including soil moisture monitoring to quantify groundwater extraction across the ~2700 km2 forest estate. The ABCD model requires low parameterisation and was further developed by incorporating the Budyko Framework to close the water balance (herein, ‘ABCD-BF model’). Forest groundwater discharge estimates correlated well with on-ground values (r of 0.7 and RMSE of 0.99 mm day−1). Approximately half the sites returned correlations of > 0.8 and low RMSE of 0.46 mm day−1, indicating the ABCD-BF model provides suitable groundwater discharge estimates. Thus, the development and application of the ABCD-BF model provide a pragmatic desktop approach to a significant knowledge gap impeding sustainable groundwater management, thereby enhancing GDE protection. Furthermore, broad-scale application of the model is possible by employing parameters globally available via remote sensing, enabling desktop impact assessments, enhancing GDE management and protection worldwide.
在世界范围内,地下水依赖生态系统(GDEs)支持稀有/特有物种,在存在河流、湿地和泉水时提供必要的栖息地和取水途径。二十年来的研究重点是提高描述一般地外生物和确定其位置的知识,提供信息以促进对它们的保护,特别是在受地下水资源人为开发影响的地区。然而,在了解gde对水的需求方面仍然存在一个关键的知识缺口,这给地下水的可持续利用带来了挑战。更具体地说,地下水管理必须考虑到GDE地下水使用的时间(即每月、季节性)、依赖地下水的持续时间,以及重要的是,特别是植被排放的地下水量。如果没有这方面的知识,在地方、集水区和流域尺度上设定可持续的地下水开采容量限制仍然存在困难。其中,我们利用GDE研究中罕见的独特、广泛的澳大利亚森林地下水排放数据集来验证来自“ABCD”水文模型的模拟地下水排放估计,其中多年来每月模型输出提供植被地下水排放数据,以具体检查植被地下水需求。地面森林数据包括18个站点的多年、分月、地块尺度数据,采用以液流数据为基础的水分平衡方法,包括土壤湿度监测,以量化约2700平方公里森林园区的地下水采收率。ABCD模型需要低参数化,并通过结合Budyko框架进一步发展,以接近水平衡(这里称为“ABCD- bf模型”)。森林地下水流量估算值与地面值相关良好(r为0.7,RMSE为0.99 mm day - 1)。大约一半的站点返回的相关性为>; 0.8, RMSE低至0.46 mm day - 1,表明ABCD-BF模型提供了合适的地下水流量估算。因此,ABCD-BF模型的开发和应用为阻碍可持续地下水管理的重大知识差距提供了实用的桌面方法,从而加强了GDE保护。此外,通过采用全球可通过遥感获得的参数,实现桌面影响评估,加强全球的GDE管理和保护,可以大规模应用该模型。
期刊介绍:
Hydrological Processes is an international journal that publishes original scientific papers advancing understanding of the mechanisms underlying the movement and storage of water in the environment, and the interaction of water with geological, biogeochemical, atmospheric and ecological systems. Not all papers related to water resources are appropriate for submission to this journal; rather we seek papers that clearly articulate the role(s) of hydrological processes.