LOMOS-mini: A coupled system quantifying transient water and heat exchanges in streambeds

Cucchi, Karina; Rivière, Agnès; Baudin, Aurélien; Berrhouma, Asma; Durand, Véronique; Réjiba, Fayçal; Rubin, Yoram; Flipo, Nicolas

doi:10.1016/j.jhydrol.2017.10.074

Cited by 8 publications

(14 citation statements)

References 29 publications

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“…It consists in vertically-distributed temperature sensors (in red) and a hydraulic head difference sensor. Reproduced from Cucchi et al (2018).…”

Section: Methodsmentioning

confidence: 99%

“…Synthetic observations θ * are obtained by adding a Gaussian white noise to the analytical solution with standard deviation σ = 0.01 • C, reproducing the error that was characterized in the lab for temperature sensors used in the field (Cucchi et al, 2018).…”

Section: Analytical Solutionmentioning

confidence: 99%

“…The thickness of the model is set to distance between the top and the bottom probes as implemented during the field campaigns, here 40 cm. Since the initial pressure and temperature conditions within the HZ column are unknown, we set up the initial temperature and pressure fields as linear interpolations of pressure and temperature measurements in order to start with realistic initial values, and introduce a burnout time of 4 days that is not further considered in the inversion (Cucchi et al, 2018). The Bayesian inversion is carried out using the remainder of the LOMOS-mini records.…”

Section: Numerical Solutionmentioning

confidence: 99%

“…Amongst technologies using heat as a tracer for quantifying water exchanges in the HZ, the uniqueness of the LOMOS-mini sensor device resides in the ability to quantify transient exchanges at a high temporal resolution, thereby relaxing the assumption of constant daily exchanges and opening the opportunity to monitor rapid infiltration and exfiltration events at the time scale at which they happen (Cucchi et al, 2018). The technology is based on a coupled approach combining vertically-distributed temperature and pressure differential monitoring (Figure 1), and on a process-based numerical model for estimating water and heat fluxes (where process-based model refers to a mathematical description of physical processes at play, e.g., Clark et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

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Estimating Hydrothermal Properties and High-Frequency Fluxes From Geophysical Measurements in the Hyporheic Zone

et al. 2021

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Located in the critical zone at the intersection between surface water and groundwater, hyporheic zones (HZ) host a variety of hydrological, biological and biogeochemical processes regulating water availability and quality and sustaining riverine ecosystems. However, difficulty in quantifying water fluxes along this interface has limited our understanding of these processes, in particular under dynamic flow conditions where rapid variations can impact large-scale HZ biogeochemical function. In this study, we introduce an innovative measurement assimilation chain for determining uncertainty-quantified hydraulic and thermal HZ properties, as well as associated uncertainty-quantified high-frequency water fluxes. The chain consists in the assimilation of data collected with the LOMOS-mini geophysical device with a process-based, Bayesian approach. The application of this approach on a synthetic case study shows that hydraulic and thermal HZ properties can be estimated from LOMOS-mini measurements, their identifiability depending on the Peclet number – summarizing the hydrological and thermal regime. Hydraulic conductivity values can be estimated with precision when greater than ~10−5m · s−1 when other HZ properties are unknown, with decreasing uncertainty when other HZ properties are known prior to starting the LOMOS-mini measurement assimilation procedure. Water fluxes can be estimated in all regimes with varying accuracy, highest accuracy is reached for fluxes greater than ~10−6m · s−1, except under highly conductive exfiltration regimes. We apply the methodology on in situ datasets by deriving uncertainty-quantified HZ properties and water fluxes for 2 data points collected during field campaigns. This study demonstrates that the LOMOS-mini monitoring technology can be used as complete and stand-alone sampling solution for quantifying water and heat exchanges under dynamic exchange conditions (time resolution < 15 min).

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“…It consists in vertically-distributed temperature sensors (in red) and a hydraulic head difference sensor. Reproduced from Cucchi et al (2018).…”

Section: Methodsmentioning

confidence: 99%

Section: Analytical Solutionmentioning

confidence: 99%

Section: Numerical Solutionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Estimating Hydrothermal Properties and High-Frequency Fluxes From Geophysical Measurements in the Hyporheic Zone

et al. 2021

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“…1), an experimental site established in the early 1960s, initially for hydrology and drainage impacts and then for nutrient budgets and pesticides [86]. Recently, continuous records have been set up for hydrological, and especially stream aquifer interactions [87,88], and biogeochemical monitoring as part of innovative national equipment for the critical zone [89]. Other experimental sites include mid-order streams (3 and 4), such as the Grand Morin River (III on Fig.…”

Section: The Spatio-temporal Scales Of the Research Themes Selected In This Publicationmentioning

confidence: 99%

Trajectories of the Seine River Basin

Flipo¹,

Lestel²,

Labadie³

et al. 2020

The Handbook of Environmental Chemistry

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The Seine River basin in France (76,238 km2, 17 million (M) people) has been continuously studied since 1989 by the PIREN-Seine, a multidisciplinary programme of about 100 scientists from 20 research units (hydrologists, environmental chemists, ecologists, biogeochemists, geographers, environmental historians). Initially PIREN-Seine was established to fill the knowledge gap on the river functioning, particularly downstream of the Paris conurbation (12 M people), where the pressure and impacts were at their highest in the 1980s (e.g. chronic summer hypoxia). One aim was to provide tools, such as models, to manage water resources and improve the state of the river. PIREN-Seine gradually developed into a general understanding and whole-basin modelling, from headwater streams to the estuary, of the complex interactions between the hydrosystem (surface water and aquifers), the ecosystem (phytoplankton, bacteria, fish communities), the agronomic system (crops and soils), the river users (drinking water, navigation), and the urban and industrial development (e.g. waste water treatment plants). Spatio-temporal scales of these interactions and the related state of the environment vary from the very fine (hour-meter) to the coarser scale (annual – several dozen km). It was possible to determine the trajectories (drivers-pressures – state-responses) for many issues, over the longue durée time windows (50–200 years), in relation to the specific economic and demographic evolution of the Seine basin, the environmental awareness, and the national and then European regulations. Time trajectories of the major environmental issues, from the original organic and microbial pollutants in the past to the present emerging contaminants, are addressed. Future trajectories are simulated by our interconnected modelling approaches, based on scenarios (e.g. of the agro-food system, climate change, demography, etc.) constructed by scientists and engineers of major basin institutions that have been supporting the programme in the long term. We found many cumulated and/or permanent hereditary effects on the physical, chemical, and ecological characteristics of the basin that may constrain its evolution. PIREN-Seine was launched and has been evaluated since its inception, by the National Centre for Scientific Research (CNRS), today within its national Zones Ateliers (ZA) instrument, part of the international Long-Term Socio-Economic and Ecosystem Research (LTSER) network.

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