Climate Change Data Portal
DOI | 10.5194/hess-24-633-2020 |
The AquiFR hydrometeorological modelling platform as a tool for improving groundwater resource monitoring over France: Evaluation over a 60-year period | |
Vergnes J.-P.; Roux N.; Habets F.; Ackerer P.; Amraoui N.; Besson F.; Caballero Y.; Courtois Q.; De Dreuzy J.-R.; Etchevers P.; Gallois N.; Leroux D.J.; Longuevergne L.; Le Moigne P.; Morel T.; Munier S.; Regimbeau F.; Thiéry D.; Viennot P. | |
发表日期 | 2020 |
ISSN | 1027-5606 |
起始页码 | 633 |
结束页码 | 654 |
卷号 | 24期号:2 |
英文摘要 | The new AquiFR hydrometeorological modelling platform was developed to provide short-to-long-term forecasts for groundwater resource management in France. This study aims to describe and assess this new tool over a long period of 60 years. This platform gathers in a single numerical tool several hydrogeological models covering much of the French metropolitan area. A total of 11 aquifer systems are simulated through spatially distributed models using either the MARTHE (Modélisation d'Aquifères avec un maillage Rectangulaire, Transport et HydrodynamiquE; Modelling Aquifers with Rectangular cells, Transport and Hydrodynamics) groundwater modelling software programme or the EauDyssée hydrogeological platform. A total of 23 karstic systems are simulated by a lumped reservoir approach using the EROS (Ensemble de Rivières Organisés en Sous-bassins; set of rivers organized in sub-basins) software programme. AquiFR computes the groundwater level, the groundwater-surface-water exchanges and the river flows. A simulation covering a 60-year period from 1958 to 2018 is achieved in order to evaluate the performance of this platform. The 8 km resolution SAFRAN (Système d'Analyse Fournissant des Renseignements Adaptés à la Nivologie) meteorological analysis provides the atmospheric variables needed by the SURFEX (SURFace EXternalisée) land surface model in order to compute surface runoff and groundwater recharge used by the hydrogeological models. The assessment is based on more than 600 piezometers and more than 300 gauging stations corresponding to simulated rivers and outlets of karstic systems. For the simulated piezometric heads, 42% and 60% of the absolute biases are lower than 2 and 4m respectively. The standardized piezometric level index (SPLI) was computed to assess the ability of AquiFR to identify extreme events such as groundwater floods or droughts in the long-term simulation over a set of piezometers used for groundwater resource management. A total of 56% of the Nash-Sutcliffe efficiency (NSE; Ef) coefficient calculations between the observed and simulated SPLI time series are greater than 0.5. The quality of the results makes it possible to consider using the platform for real-time monitoring and seasonal forecasts of groundwater resources as well as for climate change impact assessments. © Author(s) 2020. |
语种 | 英语 |
scopus关键词 | Aquifers; Climate change; Computer software; Hydrogeology; Natural resources management; Reservoirs (water); Resource allocation; Rivers; Simulation platform; Climate change impact assessments; Ground water recharge; Groundwater resource management; Groundwater-surface-water exchanges; Hydrogeological models; Land surface modeling; Meteorological analysis; Spatially distributed models; Groundwater resources; aquifer; climate change; forecasting method; groundwater; hydrogeology; hydrological modeling; karst; metropolitan area; performance assessment; piezometer; river system; runoff; software; spatial distribution; water management; water resource; France |
来源期刊 | Hydrology and Earth System Sciences
![]() |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/159504 |
作者单位 | Vergnes, J.-P., Water, Environment, Processes and Analyses Division, BRGM-the French Geological Survey, Orléans Cedex 2, 45060, France; Roux, N., National Centre for Meteorological Research (CNRM) UMR 3589, Météo-France/CNRS, University of Toulouse, Toulouse, 31100, France; Habets, F., CNRS UMR 7619 Milieux Environnementaux, Transferts et Interactions dans les Hydrosystèmes et les Sols (METIS), Sorbonne University, Paris Cedex 5, 75252, France, Geology Laboratory of Ecole Normale Supérieure, Pierre Simon Laplace Research University, CNRS UMR 8538, Paris, 75005, France; Ackerer, P., Laboratory of HYdrology and GEochemistry of Strasbourg (LHYGES), UMR 7517 CNRS, EOST/University of Strasbourg, Strasbourg, 67084, France; Amraoui, N., Water, Environment, Processes and Analyses Division, BRGM-the French Geological Survey, Orléans Cedex 2, 45060, France; Besson, F., Direction du Climat et des Services Climatiques (DCSC), Météo France, Toulouse Cedex 1, 31057, France; Caballero, Y., Water, Environment, Processes ... |
推荐引用方式 GB/T 7714 | Vergnes J.-P.,Roux N.,Habets F.,et al. The AquiFR hydrometeorological modelling platform as a tool for improving groundwater resource monitoring over France: Evaluation over a 60-year period[J],2020,24(2). |
APA | Vergnes J.-P..,Roux N..,Habets F..,Ackerer P..,Amraoui N..,...&Viennot P..(2020).The AquiFR hydrometeorological modelling platform as a tool for improving groundwater resource monitoring over France: Evaluation over a 60-year period.Hydrology and Earth System Sciences,24(2). |
MLA | Vergnes J.-P.,et al."The AquiFR hydrometeorological modelling platform as a tool for improving groundwater resource monitoring over France: Evaluation over a 60-year period".Hydrology and Earth System Sciences 24.2(2020). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。