Time series analysis methods have been used to detect behavioral patterns in a set of nine time series. These series contained information in a 3‐h time step about meteorological, hydrological and tidal data of a sand dune pond area located in Doñana National Park in the southwest of Spain. The methods used, such as wavelet analysis and additive seasonal decomposition, had never been applied before in the types of ecosystems studied. These approaches have improved the current knowledge of the conceptual model of the Santa Olalla pond system, the only system with a permanent hydroperiod located in this protected area. In addition, complex surface water‐groundwater interactions, not visible through descriptive methods, have been distinguished to have a strong seasonal component. Finally, we evaluated the effect of pumping activity in a nearby coastal resort on the water supply of the Santa Olalla pond system. Although direct damage to this sand dune pond has not yet been identified, special attention must be paid in order to maintain groundwater inputs that are integral to maintaining its current status.
The Manglaralto aquifer is located at the north of the province of Santa Elena, Ecuador, its importance is based on the source of supply for the sector. The objective of this work is to characterize the waters of this hydrogeological system by means of hydrochemical techniques (Piper and Stiff diagrams) and their correlation with the geology of the area, as well as the determination of marine intrusion. The methodology used is based on the concentrations of the major ions, which have been obtained by the water-rock interaction, where the geological analysis helps to understand the conceptual hydrogeological model. The obtained results indicate that there are two groups of waters: in the part closest to the interior of the basin with facies mainly bicarbonate and calcium-sodium, while nearest the sea shows markedly calcified calcium facies, and the existence of marine intrusion in the well closest to the coastline.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.