Spatial distribution of meteorological factors controlling stable isotopes in precipitation in Northern Chile

Valdivielso, Sonia; Hassanzadeh, Ashkan; Vàzquez-Suñé, Enric; Custódio, Emílio; Criollo, Rotman

doi:10.1016/j.jhydrol.2021.127380

Cited by 16 publications

(12 citation statements)

References 59 publications

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“…This gradient is slightly lower than the others calculated in this region (−0.34‰/100 m in Herrera et al and −0.26‰/100 m in Villablanca 96,111 . The distribution map of the stable isotopic signature is consistent with the distributions of the highest temperatures, the lowest relative humidity values and precipitation in the salt flat nucleus; at higher elevations, the precipitation and relative humidity are higher, and the temperatures are lower 98,112 .…”

Section: Resultssupporting

confidence: 70%

“…14. The lowest values of relative humidity are recorded in the core (24-29%) and in the west, and they increase with altitude, reaching their maximum values in the east of the basin (42-55%) and resulting in a gradient of 0.49%/100 m. In Valdivielso et al 99 , who used a larger study area (N Chile), the estimated values of relative humidity in the salt flat nucleus were similar to those in the present study, although the estimated values for high altitudes were lower.…”

Section: Resultsmentioning

confidence: 94%

“…The precipitation samples for the isotopic analysis are compiled from previously published studies [94][95][96][97][98][99] for the period from 2002 to 2021 for δ 18 O and δ 2 H and correspond to 31 different points (Fig. 9).…”

Section: Application To the Example Of Salar De Atacamamentioning

confidence: 99%

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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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Section: Resultssupporting

confidence: 70%

Section: Resultsmentioning

confidence: 94%

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An open source Python library for environmental isotopic modelling

Hassanzadeh

Valdivielso²,

Vàzquez-Suñé³

et al. 2023

Sci Rep

Self Cite

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“…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]. 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%

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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“…The deuterium excess (d‐excess = δ 2 H − 8 × δ 18 O) quantifies the non‐equilibrium isotopic fractionation (Dansgaard, 1964) and serves as an effective tracer of moisture conditions in moisture source region. Based on the coverage of the global network of isotopes of precipitation (GNIP), numerous studies have identified various factors affecting the variation of precipitation δ 18 O (δ 18 O p ), such as moisture source sites (Shi et al, 2021), atmospheric transport processes (Zhang et al, 2004), latitude (Liu, Song, et al, 2008; Liu, Tian, et al, 2008; Valdivielso et al, 2022), altitude (Yao et al, 2009), and local meteorological elements (Guo et al, 2017; Xie et al, 2022; Zhao et al, 2023). In addition, d‐excess mainly depends on the meteorological conditions (e.g., relative humidity, sea surface temperature, wind speed) at the oceanic moisture source (Gat et al, 2003), and more studies in recent years have shown that local evaporation and changes in the hydrological cycle also have an impact on it (Parkes et al, 2017; Tian et al, 2020; Wang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Stable isotopic compositions and controlling factors of precipitation and atmospheric vapour in the headwaters of the Shule River

Zhang,

Zhao,

Wang

et al. 2024

Hydrological Processes

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Stable isotopic compositions of precipitation (δ18Op, δ2Hp and d‐excessp) and atmospheric vapour (δ18Ov, δ2Hv and d‐excessv) with high spatial–temporal resolution are crucial in revealing hydrologic cycle. Based on the variation characteristics of δ18Op/δ18Ov, δ2Hp/δ2Hv and d‐excessp/d‐excessv in the headwaters of the Shule River (HSR) on hourly and daily scales from June to September 2018, this study analysed the relationships between δ18Op/δ2Hp and δ18Ov/δ2Hv combined with the equilibrium fractionation model, as well as δ18Op/δ18Ov and meteorological factors. The slopes of local meteoric water line (LMWL) and the δ2Hv‐δ18Ov fitting equation were similar (7.96 and 7.94) with both intercepts exceeding 10, reflecting the great contribution of recycling moisture. The values of δ18Ov/δ2Hv were lower than δ18Op/δ2Hp but with consistent variation patterns throughout the period. The equilibrium simulation results suggested that precipitation and atmospheric vapour almost approached isotopic equilibrium state, especially during monsoon intrusion period. Affected by monsoon intrusion, the slopes and intercepts of the LMWLs and the δ2Hv‐δ18Ov fitting equations were smaller than those during non‐monsoon period and d‐excess and δ18O were negatively correlated. Relative humidity had significant negative correlations with δ18Op and δ18Ov in the whole period, however, the positive correlations between δ18Op/δ18Ov and temperature were observed during non‐monsoon and monsoon intrusion period, respectively. Our results demonstrated that precipitation and atmospheric vapour isotopic compositions exhibited consistency under the influence of diverse moisture sources, while more complex relationships were found between δ18Op/δ18Ov and meteorological factors. This research provided evidence for using the isotopic compositions of atmospheric vapour to indicate moisture sources, and can improve understanding of the water cycle and eco‐hydrological process from the perspective of the interaction between water and gas phases of the inland river basin in northwest China.

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Spatial distribution of meteorological factors controlling stable isotopes in precipitation in Northern Chile

Cited by 16 publications

References 59 publications

An open source Python library for environmental isotopic modelling

An open source Python library for environmental isotopic modelling

SAR Coherence in Detecting Fluvial Sediment Transport Events in Arid Environments

Stable isotopic compositions and controlling factors of precipitation and atmospheric vapour in the headwaters of the Shule River

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