Characterization of precipitation and recharge in the peripheral aquifer of the Salar de Atacama

Valdivielso, Sonia; Vàzquez-Suñé, Enric; Herrera, Christian; Custódio, Emílio

doi:10.1016/j.scitotenv.2021.150271

Cited by 10 publications

(8 citation statements)

References 61 publications

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“…Tracking water flows beyond the plants and soils can build on these insights (te Wierik et al., 2021). To track the flows of moisture in the atmosphere, isotopes can also play a role (e.g., Valdivielso et al., 2024). However, interpreting the isotopic composition of atmospheric moisture is challenging because of atmosphere mixing and fractionation during condensation and (re‐) evaporation (e.g., Sun et al., 2024).…”

Section: Discussionmentioning

confidence: 99%

Telling Tales of Water Journeys With Isotopic Tracers

Koren

2024

Water Resources Research

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Determining the sources of water inside plants using its isotopic composition is a long‐standing research challenge in ecohydrology. A better understanding of water sources can help improve models and ultimately contribute to more accurate forecasts of water availability, food production, carbon sequestration or ecosystem status. Over the years, several methods have been developed and applied to water source partitioning, and Gai et al. (2023, https://doi.org/10.1029/2022wr033849) provide a systematic assessment of the uncertainty of different isotopic tracers (2H, 3H, 17O, 18O) and mixing models (IsoSource, SIAR, MixSIR, MixSIAR) for an apple tree orchard on the Loess Plateau in north‐central China. For that study area, the combination of 2H and 18O with the MixSIAR mixing model is recommended. Importantly, the systematic assessment provides a framework that can be applied to select a suitable combination of tracers and mixing models for different ecosystems and climate zones. This commentary aims to provide a wider context for a selection of key results from Gai et al. (2023, https://doi.org/10.1029/2022wr033849) and highlight potential future research directions.

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Section: Discussionmentioning

confidence: 99%

Telling Tales of Water Journeys With Isotopic Tracers

Koren

2024

Water Resources Research

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“…The distribution of isotopic precipitation samples is heterogeneous in time, space and type of sample. Specific rain samples are taken in the basin, and permanent rain collectors are installed close to automatic meteorological stations 91 . Isotopic samples are mostly collected during the summer months (January, February and March) since this is the period containing important precipitation events (during the so-called "Altiplanic winter").…”

Section: Application To the Example Of Salar De Atacamamentioning

confidence: 99%

An open source Python library for environmental isotopic modelling

Hassanzadeh

Valdivielso²,

Vàzquez-Suñé³

et al. 2023

Sci Rep

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Isotopic composition modelling is a key aspect in many environmental studies. This work presents Isocompy, an open source Python library that estimates isotopic compositions through machine learning algorithms with user-defined variables. Isocompy includes dataset preprocessing, outlier detection, statistical analysis, feature selection, model validation and calibration and postprocessing. This tool has the flexibility to operate with discontinuous inputs in time and space. The automatic decision-making procedures are knitted in different stages of the algorithm, although it is possible to manually complete each step. The extensive output reports, figures and maps generated by Isocompy facilitate the comprehension of stable water isotope studies. The functionality of Isocompy is demonstrated with an application example involving the meteorological features and isotopic composition of precipitation in N Chile, which are compared with the results produced in previous studies. In essence, Isocompy offers an open source foundation for isotopic studies that ensures reproducible research in environmental fields.

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“…The climate of Salar de Atacama is hyperarid because of the geographical barrier that the Andean range represents to the humid air masses coming from Amazonia [20]. The annual precipitation ranges from 20 mm/year in the nucleus to 160 mm/year in the eastern summits and presents a clear seasonal cyclicity [20,21]. Most of the annual precipitation (87%) occurs during the austral summer (December-March), when the more intense easterly winds bring humid air masses coming from the Atlantic Ocean via Amazonia and the Gran Chaco [21].…”

Section: Case Studymentioning

confidence: 99%

“…The annual precipitation ranges from 20 mm/year in the nucleus to 160 mm/year in the eastern summits and presents a clear seasonal cyclicity [20,21]. Most of the annual precipitation (87%) occurs during the austral summer (December-March), when the more intense easterly winds bring humid air masses coming from the Atlantic Ocean via Amazonia and the Gran Chaco [21]. In addition to the altitudinal gradient, this precipitation also presents a latitudinal gradient decreasing from north to south due to the shadow effect of the Andes [22].…”

Section: Case Studymentioning

confidence: 99%

“…In addition to the altitudinal gradient, this precipitation also presents a latitudinal gradient decreasing from north to south due to the shadow effect of the Andes [22]. Minor, frontal and highly geographically irregular precipitation also occurs during the austral winter (June-September), often as snowfalls caused by westerly humid cold winds from the Pacific Ocean [21].…”

Section: Case Studymentioning

confidence: 99%

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SAR Coherence in Detecting Fluvial Sediment Transport Events in Arid Environments

et al. 2023

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Coherence change detection (CCD) is a remote sensing technique used to map phenomena that, under certain conditions, can be directly related to changes in Interferometric SAR (InSAR) coherence. Mapping the areas affected by sediment transport events in arid environments is one of the most common applications of CCD. However, the reliability of these maps remains an unsolved issue. This paper focuses on verifying that InSAR coherence is indeed able to detect all the fluvial sediment transport events that have actually mobilised sediments in arid environments by building a classification model and validating its results. The proposed methodology is tested in three study areas in Salar de Atacama, Chile, using three years of Sentinel data plus a fourth year for validation, and meteorological records of rainfall, the relative humidity of the air and snow cover. The results prove that InSAR coherence can be used to remotely detect sediment transport events related to flash floods in arid environments, that it might have a greater detection ability than meteorological records and that the perpendicular baseline does have a relevant effect on the InSAR coherence that needs to be considered. All these findings will increase the reliability of maps based on InSAR coherence. In addition, the proposed method will allow focusing the mapping tasks only on the relevant dates and, once calibrated, the classification model will enable the automatised remote detection of new events.

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Characterization of precipitation and recharge in the peripheral aquifer of the Salar de Atacama

Cited by 10 publications

References 61 publications

Telling Tales of Water Journeys With Isotopic Tracers

Telling Tales of Water Journeys With Isotopic Tracers

An open source Python library for environmental isotopic modelling

SAR Coherence in Detecting Fluvial Sediment Transport Events in Arid Environments

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