Estimating Hydrothermal Properties and High-Frequency Fluxes From Geophysical Measurements in the Hyporheic Zone
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...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2021-09-01
|
| Series: | Frontiers in Water |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frwa.2021.700274/full |
| _version_ | 1818731521788346368 |
|---|---|
| author | Karina Cucchi Karina Cucchi Nicolas Flipo Agnès Rivière Yoram N. Rubin |
| author_facet | Karina Cucchi Karina Cucchi Nicolas Flipo Agnès Rivière Yoram N. Rubin |
| author_sort | Karina Cucchi |
| collection | DOAJ |
| description | 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). |
| first_indexed | 2024-12-17T23:19:00Z |
| format | Article |
| id | doaj.art-b7fb1746adc847f995490e7055d577e6 |
| institution | Directory Open Access Journal |
| issn | 2624-9375 |
| language | English |
| last_indexed | 2024-12-17T23:19:00Z |
| publishDate | 2021-09-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Water |
| spelling | doaj.art-b7fb1746adc847f995490e7055d577e62022-12-21T21:28:57ZengFrontiers Media S.A.Frontiers in Water2624-93752021-09-01310.3389/frwa.2021.700274700274Estimating Hydrothermal Properties and High-Frequency Fluxes From Geophysical Measurements in the Hyporheic ZoneKarina Cucchi0Karina Cucchi1Nicolas Flipo2Agnès Rivière3Yoram N. Rubin4Department of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA, United StatesGeosciences Department, MINES ParisTech, PSL Research University, Paris, FranceGeosciences Department, MINES ParisTech, PSL Research University, Paris, FranceGeosciences Department, MINES ParisTech, PSL Research University, Paris, FranceDepartment of Civil and Environmental Engineering, University of California, Berkeley, Berkeley, CA, United StatesLocated 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).https://www.frontiersin.org/articles/10.3389/frwa.2021.700274/fullhyporheic zoneheat as a tracerBayesian inversionprocess-based modelingin situ measurement |
| spellingShingle | Karina Cucchi Karina Cucchi Nicolas Flipo Agnès Rivière Yoram N. Rubin Estimating Hydrothermal Properties and High-Frequency Fluxes From Geophysical Measurements in the Hyporheic Zone Frontiers in Water hyporheic zone heat as a tracer Bayesian inversion process-based modeling in situ measurement |
| title | Estimating Hydrothermal Properties and High-Frequency Fluxes From Geophysical Measurements in the Hyporheic Zone |
| title_full | Estimating Hydrothermal Properties and High-Frequency Fluxes From Geophysical Measurements in the Hyporheic Zone |
| title_fullStr | Estimating Hydrothermal Properties and High-Frequency Fluxes From Geophysical Measurements in the Hyporheic Zone |
| title_full_unstemmed | Estimating Hydrothermal Properties and High-Frequency Fluxes From Geophysical Measurements in the Hyporheic Zone |
| title_short | Estimating Hydrothermal Properties and High-Frequency Fluxes From Geophysical Measurements in the Hyporheic Zone |
| title_sort | estimating hydrothermal properties and high frequency fluxes from geophysical measurements in the hyporheic zone |
| topic | hyporheic zone heat as a tracer Bayesian inversion process-based modeling in situ measurement |
| url | https://www.frontiersin.org/articles/10.3389/frwa.2021.700274/full |
| work_keys_str_mv | AT karinacucchi estimatinghydrothermalpropertiesandhighfrequencyfluxesfromgeophysicalmeasurementsinthehyporheiczone AT karinacucchi estimatinghydrothermalpropertiesandhighfrequencyfluxesfromgeophysicalmeasurementsinthehyporheiczone AT nicolasflipo estimatinghydrothermalpropertiesandhighfrequencyfluxesfromgeophysicalmeasurementsinthehyporheiczone AT agnesriviere estimatinghydrothermalpropertiesandhighfrequencyfluxesfromgeophysicalmeasurementsinthehyporheiczone AT yoramnrubin estimatinghydrothermalpropertiesandhighfrequencyfluxesfromgeophysicalmeasurementsinthehyporheiczone |