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Agua Salud project experimental catchments hydrometric data, Panama Full text
2021
Regina, Jason A. | Ogden, Fred L. | Hall, Jefferson S. | Stallard, Robert F.
The Smithsonian Tropical Research Institute (STRI) instrumented the Agua Salud (AS) Experimental Catchments as part of an ongoing series of land‐cover related experiments in the steep, saprolitic, lowland, seasonal tropics of central Panama. The sites include tree plantations, rotational grazed pastures, native forests from 10 to over 80 years old, and a monoculture grassland. This data note provides a brief description of the instrumented catchments, rainfall and discharge data collection methods, data processing, and online availability.
Show more [+] Less [-]Peces nativos de agua dulce de America del Sur de interes para la acuicultura: una sintesis del estado de desarrollo tecnologico de su cultivo Full text
2010
Flores-Nava, A. (ed.) | Brown, A. (ed.)
Sensitivity of GRACE-derived estimates of groundwater-level changes in southern Ontario, Canada | Sensibilité des changements de niveaux d’eau souterraine estimés à l’aide des données dérivées de GRACE dans le sud de l’Ontario, Canada Sensibilidad de las estimaciones derivadas de GRACE en los cambios del nivel de agua subterránea en el sur de Ontario, Canadá GRACE导出的加拿大安大略省南部地下水位变化估算值的灵敏度 Sensibilidade das estimativas derivadas do GRACE de mudanças no nível da água subterrânea no sul de Ontário, no Canadá Full text
2017
Hachborn, Ellen | Berg, Aaron | Levison, Jana | Ambadan, Jaison Thomas
Amidst changing climates, understanding the world’s water resources is of increasing importance. In Ontario, Canada, low water conditions are currently assessed using only precipitation and watershed-based stream gauges by the Conservation Authorities in Ontario and the Ministry of Natural Resources and Forestry. Regional groundwater-storage changes in Ontario are not currently measured using satellite data by research institutes. In this study, contributions from the Gravity Recovery and Climate Experiment (GRACE) data are compared to a hydrogeological database covering southern Ontario from 2003 to 2013, to determine the suitability of GRACE total water storage estimates for monitoring groundwater storage in this location. Terrestrial water storage data from GRACE were used to determine monthly groundwater storage (GWS) anomaly values. GWS values were also determined by multiplying groundwater-level elevations (from the Provincial Groundwater Monitoring Network wells) by specific yield. Comparisons of GRACE-derived GWS to well-based GWS data determined that GRACE is sufficiently sensitive to obtain a meaningful signal in southern Ontario. Results show that GWS values produced by GRACE are useful for identifying regional changes in groundwater storage in areas with limited available hydrogeological characterization data. Results also indicate that GRACE may have an ability to forecast changes in groundwater storage, which will become useful when monitoring climate shifts in the near future.
Show more [+] Less [-]Correction: Impact of river reconstruction on groundwater flow during bank filtration assessed by transient three-dimensional modelling of flow and heat transport | Erratum: Impact de la reconstruction d’une rivière sur l’écoulement des eaux souterraines via la filtration sur berge évalué par un modèle tridimensionnel en régime transitoire de l’écoulement et du transport de chaleur Erratum: Impacto de la restauración de un río en el flujo de agua subterránea durante la filtración en las márgenes, evaluado mediante la modelización tridimensional transitoria del flujo y el transporte de calor 勘误: 利用瞬态三维水流和热运移模拟评估河流改造对河岸渗滤作用中地下水流的影响 Erratum: Impacto no fluxo de água subterrânea com a reconstrução do rio durante a filtração em margem avaliada pela modelagem transiente tridimensional do fluxo e transporte de calor Full text
2020
Wang, Wei-shi | Oswald, Sascha E. | Gräff, Thomas | Lensing, Hermann-Josef | Liu, Tie | Strasser, Daniel | Munz, Matthias
The affiliation of Daniel Strasser is hereby corrected to: Department of Geotechnical Engineering, Federal Waterways Engineering and Research Institute (BAW), Kussmaulstraße 17, 76187 Karlsruhe, Germany
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