Search

Your search keyword '"Boithias, Laurie"' showing total 159 results
Start Over Author "Boithias, Laurie"
159 results on '"Boithias, Laurie"'

4. Distribution of Burkholderia pseudomallei within a 300-cm deep soil profile: implications for environmental sampling

Author

Pongmala, Khemngeun, Pierret, Alain, Oliva, Priscia, Pando, Anne, Davong, Viengmon, Rattanavong, Sayaphet, Silvera, Norbert, Luangraj, Manophab, Boithias, Laurie, Xayyathip, Khampaseuth, Menjot, Ludovic, Macouin, Melina, Rochelle-Newall, Emma, Robain, Henri, Vongvixay, Amphone, Simpson, Andrew J. H., Dance, David A. B., and Ribolzi, Olivier

Published
2022
Full Text
View/download PDF

5. Quantifying the effect of overland flow on Escherichia coli pulses during floods: Use of a tracer-based approach in an erosion-prone tropical catchment

Author

Boithias, Laurie, Ribolzi, Olivier, Lacombe, Guillaume, Thammahacksa, Chanthamousone, Silvera, Norbert, Latsachack, Keooudone, Soulileuth, Bounsamay, Viguier, Marion, Auda, Yves, Robert, Elodie, Evrard, Olivier, Huon, Sylvain, Pommier, Thomas, Zouiten, Cyril, Sengtaheuanghoung, Oloth, and Rochelle-Newall, Emma

Published
2021
Full Text
View/download PDF

7. Village Settlements in Mountainous Tropical Areas, Hotspots of Fecal Contamination as Evidenced by Escherichia coli and Stanol Concentrations in Stormwater Pulses

Author

Boithias, Laurie, primary, Jardé, Emilie, additional, Latsachack, Keooudone, additional, Thammahacksa, Chanthanousone, additional, Silvera, Norbert, additional, Soulileuth, Bounsamay, additional, Xayyalart, Mose, additional, Viguier, Marion, additional, Pierret, Alain, additional, Rochelle-Newall, Emma, additional, and Ribolzi, Olivier, additional

Published
2024
Full Text
View/download PDF

15. Village Settlements in Mountainous Tropical Areas, Hotspots of Fecal Contamination as Evidenced by Escherichia coliand Stanol Concentrations in Stormwater Pulses

Author

Boithias, Laurie, Jardé, Emilie, Latsachack, Keooudone, Thammahacksa, Chanthanousone, Silvera, Norbert, Soulileuth, Bounsamay, Xayyalart, Mose, Viguier, Marion, Pierret, Alain, Rochelle-Newall, Emma, and Ribolzi, Olivier

Abstract

Fecal bacteria in surface water may indicate threats to human health. Our hypothesis is that village settlements in tropical rural areas are major hotspots of fecal contamination because of the number of domestic animals usually roaming in the alleys and the lack of fecal matter treatment before entering the river network. By jointly monitoring the dynamics of Escherichia coliand of seven stanol compounds during four flood events (July–August 2016) at the outlet of a ditch draining sewage and surface runoff out of a village of Northern Lao PDR, our objectives were (1) to assess the range of E. coliconcentration in the surface runoff washing off from a village settlement and (2) to identify the major contributory sources of fecal contamination using stanol compounds during flood events. E. colipulses ranged from 4.7 × 104to 3.2 × 106most probable number (MPN) 100 mL–1, with particle-attached E. coliranging from 83 to 100%. Major contributory feces sources were chickens and humans (about 66 and 29%, respectively), with the highest percentage switching from the human pole to the chicken pole during flood events. Concentrations indicate a severe fecal contamination of surface water during flood events and suggest that villages may be considered as major hotspots of fecal contamination pulses into the river network and thus as point sources in hydrological models.

Published
2024
Full Text
View/download PDF

20. <i>Escherichia coli</i> concentration, multiscale monitoring over the decade 2011–2021 in the Mekong River basin, Lao PDR

Author

Boithias, Laurie, primary, Ribolzi, Olivier, additional, Rochelle-Newall, Emma, additional, Thammahacksa, Chanthanousone, additional, Nakhle, Paty, additional, Soulileuth, Bounsamay, additional, Pando-Bahuon, Anne, additional, Latsachack, Keooudone, additional, Silvera, Norbert, additional, Sounyafong, Phabvilay, additional, Xayyathip, Khampaseuth, additional, Zimmermann, Rosalie, additional, Rattanavong, Sayaphet, additional, Oliva, Priscia, additional, Pommier, Thomas, additional, Evrard, Olivier, additional, Huon, Sylvain, additional, Causse, Jean, additional, Henry-des-Tureaux, Thierry, additional, Sengtaheuanghoung, Oloth, additional, Sipaseuth, Nivong, additional, and Pierret, Alain, additional

Published
2022
Full Text
View/download PDF

25. Escherichia coli concentration, multiscale monitoring over the decade 2011-2021 in the Mekong River basin, Lao PDR

Author

Boithias, Laurie, Ribolzi, Olivier, Rochelle-Newall, Emma, Thammahacksa, Chanthanousone, Nakhle, Paty, Soulileuth, Bounsamay, Pando-Bahuon, Anne, Latsachack, Keooudone, Silvera, Norbert, Sounyafong, Phabvilay, Xayyathip, Khampaseuth, Zimmermann, Rosalie, Rattanavong, Sayaphet, Oliva, Priscia, Pommier, Thomas, Evrard, Olivier, Huon, Sylvain, Causse, Jean, Henry-Des-Tureaux, Thierry, Sengtaheuanghoung, Oloth, Sipaseuth, Nivong, Pierret, Alain, Géosciences Environnement Toulouse (GET), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Institut d'écologie et des sciences de l'environnement de Paris (iEES Paris ), Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université de Lyon, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), École des Hautes Études en Santé Publique [EHESP] (EHESP), Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Agricultural Land Management [Vientiane] (DALaM), Ministry of Agriculture and Forestry of Laos, This research has been supported by the Consultative Group on International Agricultural Research (CGIAR, Humidtropics program, ECOFILTER program, ANR-13-AGRO-0007,TecItEasy,Effets conjugués de l'expansion des plantations d'arbres et du changement climatique sur le fonctionnement hydro-sédimentaire des bassins versants tropicaux de montagne: la diversité microbienne aquatique comme un proxy de la conversion d'usage des terres(2013), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Géochimie Des Impacts (GEDI), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), and Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )

Subjects
[SDU]Sciences of the Universe [physics], [SDV]Life Sciences [q-bio], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, Panoply
Abstract

Bacterial pathogens in surface waters may threaten human health, especially in developing countries, where untreated surface water is often used for domestic needs. The objective of the long-term multiscale monitoring of Escherichia coli ([E. coli]) concentration in stream water, and that of associated variables (temperature (T), electrical conductance (EC), dissolved oxygen concentration ([DO]) and saturation (DO%), pH (pH), oxidation-reduction potential (ORP), turbidity (Turb), and total suspended sediment concentration ([TSS])), was to identify the drivers of bacterial dissemination across tropical catchments. This data description paper presents three datasets (see “Data availability” section) collected at 31 sampling stations located within the Mekong River and its tributaries in Lao PDR (0.6–25 946 km2) from 2011 to 2021. The 1602 records have been used to describe the hydrological processes driving in-stream E. coli concentration during flood events, to understand the land-use impact on bacterial dissemination on small and large catchment scales, to relate stream water quality and diarrhea outbreaks, and to build numerical models. The database may be further used, e.g., to interpret new variables measured in the monitored catchments, or to map the health risk posed by fecal pathogens.

Published
2022
Full Text
View/download PDF

26. Escherichia coli concentration, multiscale monitoring over the decade 2011–2021 in the Mekong basin, Lao PDR

Author

Boithias, Laurie, primary, Ribolzi, Olivier, additional, Rochelle-Newall, Emma, additional, Thammahacksa, Chanthanousone, additional, Nakhle, Paty, additional, Soulileuth, Bounsamay, additional, Pando-Bahuon, Anne, additional, Latsachack, Keooudone, additional, Silvera, Norbert, additional, Sounyafong, Phabvilay, additional, Xayyathip, Khampaseuth, additional, Zimmermann, Rosalie, additional, Rattanavong, Sayaphet, additional, Oliva, Priscia, additional, Pommier, Thomas, additional, Evrard, Olivier, additional, Huon, Sylvain, additional, Causse, Jean, additional, Henry-Des-Tureaux, Thierry, additional, Sengtaheuanghoung, Oloth, additional, Sipaseuth, Nivong, additional, and Pierret, Alain, additional

Published
2022
Full Text
View/download PDF

27. Comparison of hydrosedimentary signatures of catchments from the French Critical Zone network

Author

Legout, Cédric, Sève, Fabien, Le Bouteiller, Caroline, Nord, Guillaume, Boithias, Laurie, Branger, Flora, Camenen, Benoît, Evin, Guillaume, Faucheux, Mikael, Fovet, Ophélie, Grippa, Manuela, Hamon, Yannick, Lajeunesse, Eric, Le Coz, Jérôme, Martinez, Jean-Michel, Sébastien Moquet, Jean, Némery, Julien, Probst, Anne, Probst, Jean-Luc, Raclot, Damien, Ribolzi, Olivier, Blanes, Sébastien, Simonneau, Anaëlle, Santini, William, Stubbe, Vincent, Thollet, Fabien, Vanhooydonck, Pierre, Laboratoire Ecologie Fonctionnelle et Environnement (ECOLAB), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
[SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, [SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry, [SDE.IE]Environmental Sciences/Environmental Engineering, [SDE.MCG]Environmental Sciences/Global Changes, [SDV.TOX.ECO]Life Sciences [q-bio]/Toxicology/Ecotoxicology, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study, [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces, environment
Abstract

International audience; Soil erosion and sediment transport understanding has important implications for the management of soil and water resources in the critical zone. Water erosion is considered the main threat to soils, causing irreversible losses. The transfer of suspended sediments (SS) downstream poses problems of degradation of the quality of rivers by clogging the bottom and is also a privileged vector for the transport of nutrients, contaminants or pathogens. Particulate transfers arealso very sensitive to changes in land use and in the occurrence and severity of rainfall.Most studies that have sought to synthesise measurements made in different contexts focused on the spatial variability of erosion rates on hillslopes (Cerdan et al., 2010) or on the comparison of integrative variables such as sediment fluxes in different hydrosystems (Milliman and Syvitski, 1992; De Vente et al. 2011; Vanmaercke et al., 2011). However, very few studies have been interested in comparing the relationships between the variables that allow to establish the fluxes (i.e. iquid discharge, turbidity, SS concentrations) whereas their analysis can shed light on hydrosedimentary processes, particularly by exploring their temporal variability (Vercruysse et al., 2017). Within the OZCAR and RZA French networks, many observatories carry out measurements of discharges, turbidities and/or point measurements of SS concentrations at catchment outlets. These datasets are used to address the following questions: i) Are there similar temporal hydrosedimentary signatures at some sites, ii) Is it possible to identify control factors responsible for these signatures? Results show a large diversity of the temporal hydrosedimentary behaviours of the 22 studied catchments as illustrated by some striking features. Indeed, 90% of the SS are transported during less than 0.1% of the time for some sites and during 40% for others. Half of the SS are transported at SS concentrations exceeding 34 g/l for some sites and less than 0.1 g/l for others.First attempts have shown that some of these indicators of temporal variability of SS fluxes can be predicted by site (e.g. area, slope, pedo-geo-morphology, soil use, meteorological forcing) or hydrological characteristics.

Published
2021

29. Intermittent rivers and ephemeral streams: Perspectives for critical zone science and research on socio‐ecosystems

Author

Fovet, Ophélie, Belemtougri, Axel, Boithias, Laurie, Braud, Isabelle, Charlier, Jean‐baptiste, Cottet, Marylise, Daudin, Kevin, Dramais, Guillaume, Ducharne, Agnès, Folton, Nathalie, Grippa, Manuela, Hector, Basile, Kuppel, Sylvain, Le Coz, Jérôme, Legal, Luc, Martin, Philippe, Moatar, Florentina, Molénat, Jérôme, Probst, Anne, Riotte, Jean, Vidal, Jean‐philippe, Vinatier, Fabrice, Datry, Thibault, Sol Agro et hydrosystème Spatialisation (SAS), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), International Institute for Water and Environmental Engineering [Ouagadougou] (2iE), Milieux Environnementaux, Transferts et Interactions dans les hydrosystèmes et les Sols (METIS), École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CNRS/Université de Toulouse, Riverly (Riverly), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Bureau de Recherches Géologiques et Minières (BRGM) (BRGM), Environnement Ville Société (EVS), Institut National des Sciences Appliquées de Lyon (INSA Lyon), Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-École nationale supérieure d'architecture de Lyon (ENSAL)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-École Nationale des Travaux Publics de l'État (ENTPE)-Université Jean Monnet [Saint-Étienne] (UJM)-Université Jean Moulin - Lyon 3 (UJML), Université de Lyon-Université Lumière - Lyon 2 (UL2)-École normale supérieure - Lyon (ENS Lyon), Territoires, Environnement, Télédétection et Information Spatiale (UMR TETIS), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER), Aix Marseille Université (AMU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Université Grenoble Alpes (UGA), Institut de Physique du Globe de Paris, Laboratoire Ecologie Fonctionnelle et Environnement (ECOLAB), Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées, Études des Structures, des Processus d’Adaptation et des Changements de l’Espace (ESPACE), Université Côte d'Azur (UCA)-Avignon Université (AU)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015 - 2019) (COMUE UCA)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), Laboratoire d'étude des Interactions Sol - Agrosystème - Hydrosystème (UMR LISAH), Institut de Recherche pour le Développement (IRD)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS)-École nationale supérieure d'architecture de Lyon (ENSAL)-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Centre National de la Recherche Scientifique (CNRS), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)

Subjects
nonperennial, temporary waterways, long-term socio-ecosystem research, +Conservation%22">Water and Life > Conservation, [SDE]Environmental Sciences, systemic approach, and Awareness critical zone observatories, Management
Abstract

International audience; Intermittent rivers and ephemeral streams (IRES) are now recognized to support specific freshwater biodiversity and ecosystem services and represent approximately half of the global river network, a fraction that is likely to increase in the context of global changes. Despite large research efforts on IRES during the past few decades, there is a need for developing a systemic approach to IRES that considers their hydrological, hydrogeological, hydraulic, ecological, and biogeochemical properties and processes, as well as their interactions with human societies. Thus, we assert that the interdisciplinary approach to ecosystem research promoted by critical zone sciences and socioecology is relevant. These approaches rely on infrastructure-Critical Zone Observatories (CZO) and Long-Term Socio-Ecological Research (LTSER) platforms-that are representative of the diversity of IRES (e.g., among climates or types of geology. We illustrate this within the French CZO and LTSER, including their diversity as socio-ecosystems, and detail human interactions with IRES. These networks are also specialized in the long-term observations required to detect and measure ecosystem responses of IRES to climate and human forcings despite the delay and buffering effects within ecosystems. The CZO and LTSER platforms also support development of innovative techniques and data analysis methods that can improve characterization of IRES, in particular for monitoring flow regimes, groundwater-surface water flow, or water biogeochemistry during rewetting. We provide scientific and methodological perspectives for which this interdisciplinary approach and its associated infrastructure would provide relevant and original insights that would help fill knowledge gaps about IRES.

Published
2021
Full Text
View/download PDF

30. Long-term and event-scale sub-daily streamflow and sediment simulation in a small forested catchment

Author

Sok, Ty, Oeurng, Chantha, Ich, Ilan, Sauvage, Sabine, Miguel Sánchez-Pérez, José, Cakir, Roxelane, Gerino, Magali, Volk, Martin, Sánchez-Pérez, José Miguel, Wei, Xi, Ouillon, Sylvain, Le, Thi Phuong Quynh, Orange, Didier, Herrmann, Marine, Sanchez-Perez, José-Miguel, Zettam, Amin, Taleb, Amina, Boithias, Laurie, Belaidi, Nouria, Mami, Amina, Yebdri, Djilali, Raimonet, Mélanie, Miguel, José, Lechuga-Crespo, Juan Luis, vanVliet, Michelle, Ruiz-Romera, Estilita, Probst, Jean-Luc, Martínez-Espinosa, Columba, Al Bitar, Ahmad, Green, Pamela, Vörösmarty, Charles, Meaurio, Maite, Zabaleta, Ane, Srinivasan, Raghavan, Antiguedad, Iñaki, and Centre National de la Recherche Scientifique (CNRS)

Subjects
Hydrology, geography, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, [SDE.MCG]Environmental Sciences/Global Changes, 0207 environmental engineering, Drainage basin, Sediment, Time distribution, 02 engineering and technology, 01 natural sciences, Term (time), 13. Climate action, Streamflow, [SDE]Environmental Sciences, Environmental science, 020701 environmental engineering, Event scale, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, Water Science and Technology
Abstract

International audience; Abstract Here, we simulate carbon dioxide (CO2) sequestration in 300 major world river basins (about 70% of global surface area) through carbonates dissolution and silicate hydrolysis. For each river basin, the daily timescale impacts under both the RCP 2.6 and RCP 8.5 climate scenarios were assessed relative to a historic baseline (1969-1999) using a cascade of models accounting for the hydrological evolution under climate change scenarios. Here we show that global temporal evolution of the CO2 uptake presents a general increase in the annual amount of CO2 consumed from 0.247 Pg C·y-1 to 0.261 and 0.273 Pg C·y-1, respectively for RCP 2.6 and RCP 8.5. Besides, despite showing a general increase for the global daily carbon sequestration, both climate scenarios present a decrease between June and August. Such projected changes have been mapped and evaluated against changes in hydrology, identifying hot spots and moments for the annual and seasonal periods.

Published
2021
Full Text
View/download PDF

31. The Multiscale TROPIcal CatchmentS critical zone observatory M‐TROPICS dataset II: land use, hydrology and sediment production monitoring in Houay Pano, northern Lao PDR

Author

Boithias, Laurie, Auda, Yves, Audry, Stéphane, Bricquet, Jean‐pierre, Chanhphengxay, Alounsavath, Chaplot, Vincent, Rouw, Anneke, Tureaux, Thierry Henry, Huon, Sylvain, Janeau, Jean‐louis, Latsachack, Keooudone, Le Troquer, Yann, Lestrelin, Guillaume, Maeght, Jean-Luc, Marchand, Pierre, Moreau, Pierre, Noble, Andrew, Pando‐bahuon, Anne, Phachomphon, Kongkeo, Phanthavong, Khambai, Pierret, Alain, Ribolzi, Olivier, Riotte, Jean, Robain, Henri, Rochelle‐newall, Emma, Sayavong, Saysongkham, Sengtaheuanghoung, Oloth, Silvera, Norbert, Sipaseuth, Nivong, Soulileuth, Bounsamay, Souliyavongsa, Xaysatith, Sounyaphong, Phapvilay, Tasaketh, Sengkeo, Thammahacksa, Chanthamousone, Thiebaux, Jean‐pierre, Valentin, Christian, Vigiak, Olga, Viguier, Marion, Xayyathip, Khampaseuth, Géosciences Environnement Toulouse (GET), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), Institut d'écologie et des sciences de l'environnement de Paris (iEES Paris ), Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), National Agriculture and Forestry Research Institute (NAFRI), Department of Agricultural Land Management [Vientiane] (DALaM), Ministry of Agriculture and Forestry of Laos, Representation du Laos (IRD), Botanique et Modélisation de l'Architecture des Plantes et des Végétations (UMR AMAP), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), International Water Management Institute [CGIAR, Laos] (IWMI), International Water Management Institute [CGIAR, Sri Lanka] (IWMI), Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), and Institut de Recherche pour le Développement (IRD)-Sorbonne Université (SU)-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)

Subjects
Land‐use change, [SDV.EE.ECO]Life Sciences [q-bio]/Ecology, environment/Ecosystems, Suspended sediment, Flash flood, Soil erosion, [SDV.BV.BOT]Life Sciences [q-bio]/Vegetal Biology/Botanics, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Water level, Teak tree plantations, [SDV.BID.SPT]Life Sciences [q-bio]/Biodiversity/Systematics, Phylogenetics and taxonomy, Surface runoff, Southeast Asia
Abstract

International audience; Mountain regions of the humid tropics are characterized by steep slopes and heavy rains. These regions are thus prone to both high surface runoff and soil erosion. In Southeast Asia, uplands are also subject to rapid land-use change, predominantly as a result of increased population pressure and market forces. Since 1998, the Houay Pano site, located in northern Lao PDR (19.85°N 102.17°E) within the Mekong basin, aims at assessing the long-term impact of the conversion of traditional slash-and-burn cultivation systems to commercial perennial monocultures such as teak tree plantations, on the catchment hydrological response and sediment yield. The instrumented site monitors hydro-meteorological and soil loss parameters at both microplot (1 m2) and small catchment (0.6 km2) scales. The monitored catchment is part of the network of critical zone observatories named Multiscale TROPIcal CatchmentS (M-TROPICS). The data shared by M-TROPICS in Houay Pano are (1) rainfall, (2) air temperature, air relative humidity, wind speed, and global radiation, (3) catchment land use, (4) stream water level, suspended particulate matter, bed particulate matter and stones, (5) soil surface features, and (6) soil surface runoff and soil detachment. The dataset has already been used to interpret suspended particulate matter and bed particulate matter sources and dynamics, to assess the impact of land-use change on catchment hydrology, soil erosion, and sediment yields, to understand bacteria fate and weed seed transport across the catchment, and to build catchment-scale models focused on hydrology and water quality issues. The dataset may be further used to e.g. assess the role of headwater catchments in large tropical river basin hydrology, support the interpretation of new variables measured in the catchment (e.g. contaminants other than fecal bacteria), and assess the relative impacts of both climate and land-use change on the catchment.

Published
2021
Full Text
View/download PDF

32. Decay Rate of Escherichia coli in a Mountainous Tropical Headwater Wetland

Author

Nakhle, Paty, primary, Boithias, Laurie, additional, Pando-Bahuon, Anne, additional, Thammahacksa, Chanthamousone, additional, Gallion, Nicolas, additional, Sounyafong, Phabvilay, additional, Silvera, Norbert, additional, Latsachack, Keooudone, additional, Soulileuth, Bounsamay, additional, Rochelle-Newall, Emma J., additional, Marcangeli, Yoan, additional, Pierret, Alain, additional, and Ribolzi, Olivier, additional

Published
2021
Full Text
View/download PDF

35. The Multiscale TROPIcal CatchmentS critical zone observatory M‐TROPICS dataset III : Hydro‐geochemical monitoring of the Mule Hole catchment, south India

Author

Riotte, Jean, primary, Ruiz, Laurent, additional, Audry, Stéphane, additional, Baud, Benjamin, additional, Bedimo Bedimo, Jean‐Pierre, additional, Boithias, Laurie, additional, Braun, Jean‐Jacques, additional, Dupré, Bernard, additional, Duprey, Jean‐Louis, additional, Faucheux, Mikael, additional, Lagane, Christelle, additional, Marechal, Jean‐Christophe, additional, Moger, Hemanth, additional, Mohan Kumar, Mandalagiri Subbarayappa, additional, Parate, Harshad, additional, Ribolzi, Olivier, additional, Rochelle‐Newall, Emma, additional, Sriramulu, Buvaneshwari, additional, Varma, Murari, additional, and Sekhar, Muddu, additional

Published
2021
Full Text
View/download PDF

36. The Multiscale TROPIcal CatchmentS critical zone observatory M‐TROPICS dataset I: The Nyong River Basin, Cameroon

Author

Audry, Stéphane, primary, Ateba Bessa, Henriette, additional, Bedimo Bedimo, Jean‐Pierre, additional, Boeglin, Jean‐Loup, additional, Boithias, Laurie, additional, Braun, Jean‐Jacques, additional, Dupré, Bernard, additional, Faucheux, Mikael, additional, Lagane, Christelle, additional, Maréchal, Jean‐Christophe, additional, Ndam‐Ngoupayou, Jules Remy, additional, Nka Nnomo, Bernadette, additional, Nlozoa, Justin, additional, Ntonga, Jean‐Claude, additional, Ribolzi, Olivier, additional, Riotte, Jean, additional, Rochelle‐Newall, Emma, additional, and Ruiz, Laurent, additional

Published
2021
Full Text
View/download PDF

39. Understory Limits Surface Runoff and Soil Loss in Teak Tree Plantations of Northern Lao PDR

Author

Song, Layheang, primary, Boithias, Laurie, additional, Sengtaheuanghoung, Oloth, additional, Oeurng, Chantha, additional, Valentin, Christian, additional, Souksavath, Bounthan, additional, Sounyafong, Phabvilay, additional, de Rouw, Anneke, additional, Soulileuth, Bounsamay, additional, Silvera, Norbert, additional, Lattanavongkot, Bounchanh, additional, Pierret, Alain, additional, and Ribolzi, Olivier, additional

Published
2020
Full Text
View/download PDF

40. Effects of seasonal hydrology and land use on in-stream Escherichia coli concentration in the lower Mekong basin, Laos

Author

Nakhle, Paty, primary, Ribolzi, Olivier, additional, Boithias, Laurie, additional, Rattanavong, Sayaphet, additional, Auda, Yves, additional, Sayavong, Saysongkham, additional, Zimmermann, Rosalie, additional, Soulileuth, Bounsamay, additional, Pando-Bahuon, Anne, additional, Thammahacksa, Chanthamousone, additional, Rochelle-Newall, Emma J., additional, Santini, William, additional, Martinez, Jean-Michel, additional, Gratiot, Nicolas, additional, and Pierret, Alain, additional

Published
2020
Full Text
View/download PDF

41. Understorey vegetation drives surface runoff and soil loss in teak plantation-based system of Northern Laos

Author

Song, Layheang, primary, Boithias, Laurie, additional, Sengtaheuanghoung, Oloth, additional, Oeurng, Chantha, additional, Valentin, Christian, additional, Sounyafong, Phabvilay, additional, de Rouw, Anneke, additional, Soulileuth, Bounsamai, additional, Silvera, Norbert, additional, Pierret, Alain, additional, and Ribolzi, Olivier, additional

Published
2020
Full Text
View/download PDF

43. Escherichia coli concentration, multiscale monitoring over the decade 2011-2021 in the Mekong basin, Lao PDR.

Author

Boithias, Laurie, Ribolzi, Olivier, Rochelle-Newall, Emma, Thammahacksa, Chanthanousone, Nakhle, Paty, Soulileuth, Bounsamay, Pando-Bahuon, Anne, Latsachack, Keooudone, Silvera, Norbert, Sounyafong, Phabvilay, Xayyathip, Khampaseuth, Zimmermann, Rosalie, Rattanavong, Sayaphet, Oliva, Priscia, Pommier, Thomas, Evrard, Olivier, Huon, Sylvain, Causse, Jean, Henry-Des-Tureaux, Thierry, and Sengtaheuanghoung, Oloth

Subjects
*ESCHERICHIA coli, *OXIDATION-reduction potential, *BACTERIAL cell surfaces, *SUSPENDED sediments, *COMPOSITION of sediments, *OXYGEN saturation
Abstract

Bacterial pathogens in surface waters may threaten human health, especially in developing countries, where untreated surface water is often used for domestic needs. The objective of the long-term multiscale monitoring of Escherichia coli concentration in stream water, and that of associated variables (temperature, electrical conductance, dissolved oxygen concentration and saturation, pH, oxidation-reduction potential, turbidity, and total suspended sediment concentration), was to identify the drivers of bacterial dissemination across tropical catchments. This data description paper presents three datasets (see section Data availability) collected at 31 sampling stations located within the Mekong river and its tributaries in Lao PDR (0.6-25,946 km2) from 2011 to 2021. The 1,602 records have been used to describe the hydrological processes driving in-stream Escherichia coli concentration during flood events, to understand land-use impact on bacterial dissemination on small and large catchment scales, to relate stream water quality and diarrhea outbreaks, and to build numerical models. The database may be further used e.g. to interpret new variables measured in the monitored catchments, or to map the health risk posed by fecal pathogens. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

44. In-stream Escherichia coli modeling using high-temporal-resolution data with deep learning and process-based models.

Author

Abbas, Ather, Baek, Sangsoo, Silvera, Norbert, Soulileuth, Bounsamay, Pachepsky, Yakov, Ribolzi, Olivier, Boithias, Laurie, and Cho, Kyung Hwa

Subjects
DEEP learning, ESCHERICHIA coli, WATER pollution, SURFACE contamination, PATHOGENIC microorganisms, TYPHA
Abstract

Contamination of surface waters with microbiological pollutants is a major concern to public health. Although long-term and high-frequency Escherichia coli (E. coli) monitoring can help prevent diseases from fecal pathogenic microorganisms, such monitoring is time-consuming and expensive. Process-driven models are an alternative means for estimating concentrations of fecal pathogens. However, process-based modeling still has limitations in improving the model accuracy because of the complexity of relationships among hydrological and environmental variables. With the rise of data availability and computation power, the use of data-driven models is increasing. In this study, we simulated fate and transport of E. coli in a 0.6 km 2 tropical headwater catchment located in the Lao People's Democratic Republic (Lao PDR) using a deep-learning model and a process-based model. The deep learning model was built using the long short-term memory (LSTM) methodology, whereas the process-based model was constructed using the Hydrological Simulation Program–FORTRAN (HSPF). First, we calibrated both models for surface as well as for subsurface flow. Then, we simulated the E. coli transport with 6 min time steps with both the HSPF and LSTM models. The LSTM provided accurate results for surface and subsurface flow with 0.51 and 0.64 of the Nash–Sutcliffe efficiency (NSE) values, respectively. In contrast, the NSE values yielded by the HSPF were - 0.7 and 0.59 for surface and subsurface flow. The simulated E. coli concentrations from LSTM provided the NSE of 0.35, whereas the HSPF gave an unacceptable performance with an NSE value of - 3.01 due to the limitations of HSPF in capturing the dynamics of E. coli with land-use change. The simulated E. coli concentration showed the rise and drop patterns corresponding to annual changes in land use. This study showcases the application of deep-learning-based models as an efficient alternative to process-based models for E. coli fate and transport simulation at the catchment scale. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

46. OZCAR: French network of Critical Zone Observatories exploring the human’s habitat

Author

Hankard, Fatim, Gaillardet, Jérôme, Braud, Isabelle, Anquetin, Sandrine, Batiot-Guilhe, Christelle, Boithias, Laurie, Boudevillain, Brice, Bour, Olivier, Al., Et, Institut de Physique du Globe de Paris (IPGP), Centre National de la Recherche Scientifique (CNRS)-Université de La Réunion (UR)-Université Paris Diderot - Paris 7 (UPD7)-IPG PARIS-Institut national des sciences de l'Univers (INSU - CNRS), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Institut des Géosciences de l’Environnement (IGE), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut de Recherche pour le Développement (IRD)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Hydrosciences Montpellier (HSM), Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Géosciences Environnement Toulouse (GET), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), Géosciences Rennes (GR), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-IPG PARIS-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut de Recherche pour le Développement (IRD)-Centre National d'Études Spatiales [Toulouse] (CNES), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Université de La Réunion (UR)-Institut de Physique du Globe de Paris (IPG Paris)-Centre National de la Recherche Scientifique (CNRS), Institut de Recherche pour le Développement (IRD)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), and Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS)

Subjects
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2018

47. OZCAR: The French Network of Critical Zone Observatories

Author

Gaillardet, J., Braud, I., Hankard, F., Anquetin, S., Bour, O., Dorfliger, N., de Dreuzy, J. R., Galle, Sylvie, Galy, C., Gogo, S., Gourcy, L., Habets, F., Laggoun, F., Longuevergne, L., Le Borgne, T., Naaim-Bouvet, F., Nord, G., Simonneaux, Vincent, Six, D., Tallec, T., Valentin, Christian, Abril, G., Allemand, P., Arenes, A., Arfib, B., Arnaud, L., Arnaud, N., Arnaud, P., Audry, S., Comte, V. B., Batiot, C., Battais, A., Bellot, H., Bernard, E., Bertrand, C., Bessiere, H., Binet, S., Bodin, J., Bodin, X., Boithias, Laurie, Bouchez, J., Boudevillain, B., Moussa, I. B., Branger, F., Braun, Jean-Jacques, Brunet, P., Caceres, B., Calmels, D., Cappelaere, Bernard, Celle-Jeanton, H., Chabaux, F., Chalikakis, K., Champollion, C., Copard, Y., Cotel, C., Davy, P., Deline, P., Delrieu, G., Demarty, Jérome, Dessert, C., Dumont, M., Emblanch, C., Ezzahar, J., Esteves, Michel, Favier, V., Faucheux, M., Filizola, N., Flammarion, P., Floury, P., Fovet, O., Fournier, M., Francez, A. J., Gandois, L., Gascuel, C., Gayer, E., Genthon, C., Gerard, M. F., David, Gilbert, Gouttevin, I., Grippa, M., Gruau, G., Jardani, A., Jeanneau, L., Join, J. L., Jourde, H., Karbou, F., Labat, D., Lagadeuc, Y., Lajeunesse, E., Lastennet, R., Lavado, W., Lawin, E., Lebel, Thierry, Le Bouteiller, C., Legout, C., Lejeune, Y., Le Meur, E., Le Moigne, N., Lions, J., Lucas, A., Malet, J. P., Marais-Sicre, C., Marechal, J. C., Marlin, C., Martin, P., Martins, J., Martinez, Jean-Michel, Massei, N., Mauclerc, A., Mazzilli, N., Molenat, J., Moreira Turcq, Patricia, Mougin, E., Morin, S., Ngoupayou, J. N., Panthou, G., Peugeot, Christophe, Picard, G., Pierret, M. C., Porel, G., Probst, A., Probst, J. L., Rabatel, A., Raclot, Damien, Ravanel, L., Rejiba, F., Rene, P., Ribolzi, Olivier, Riotte, Jean, Riviere, A., Robain, Henri, Ruiz, Laurent, Sanchez-Perez, J. M., Santini, William, Sauvage, S., Schoeneich, P., Seidel, J. L., Sekhar, M., Sengtaheuanghoung, O., Silvera, Norbert, Steinmann, M., Soruco, A., Tallec, G., Thibert, E., Lao, D. V., Vincent, Christine, Viville, D., Wagnon, Patrick, and Zitouna, R.

Subjects
lcsh:GE1-350, lcsh:Geology, lcsh:QE1-996.5, lcsh:Environmental sciences
Abstract

The French critical zone initiative, called OZCAR (Observatoires de la Zone Critique–Application et Recherche or Critical Zone Observatories–Application and Research) is a National Research Infrastructure (RI). OZCAR-RI is a network of instrumented sites, bringing together 21 pre-existing research observatories monitoring different compartments of the zone situated between “the rock and the sky,” the Earth’s skin or critical zone (CZ), over the long term. These observatories are regionally based and have specific initial scientific questions, monitoring strategies, databases, and modeling activities. The diversity of OZCAR-RI observatories and sites is well representative of the heterogeneity of the CZ and of the scientific communities studying it. Despite this diversity, all OZCAR-RI sites share a main overarching mandate, which is to monitor, understand, and predict (“earthcast”) the fluxes of water and matter of the Earth’s near surface and how they will change in response to the “new climatic regime.” The vision for OZCAR strategic development aims at designing an open infrastructure, building a national CZ community able to share a systemic representation of the CZ , and educating a new generation of scientists more apt to tackle the wicked problem of the Anthropocene. OZCAR articulates around: (i) a set of common scientific questions and cross-cutting scientific activities using the wealth of OZCAR-RI observatories, (ii) an ambitious instrumental development program, and (iii) a better interaction between data and models to integrate the different time and spatial scales. Internationally, OZCAR-RI aims at strengthening the CZ community by providing a model of organization for pre-existing observatories and by offering CZ instrumented sites. OZCAR is one of two French mirrors of the European Strategy Forum on Research Infrastructure (eLTER-ESFRI) project.

Published
2018

48. AI4Water v1.0: An open source python package for modeling hydrological time series using data-driven methods.

Author

Abbas, Ather, Boithias, Laurie, Pachepsky, Yakov, Kim, Kyunghyun, Chun, Jong Ahn, and Cho, Kyung Hwa

Subjects
*TIME series analysis, *MACHINE learning, *PYTHON programming language, *TIME management, *DATA distribution
Abstract

Machine learning has shown great promise for simulating hydrological phenomena. However, the development of machine learning-based hydrological models requires advanced skills from diverse fields, such as programming and hydrological modeling. Additionally, data pre-processing and post-processing when training and testing machine learning models is a time-intensive process. In this study, we developed a python-based framework that simplifies the process of building and training machine learning-based hydrological models and automates the process of pre-processing of hydrological data and post-processing of model results. Pre-processing utilities assist in incorporating domain knowledge of hydrology in the machine learning model, such as the distribution of weather data into hydrologic response units (HRUs) based on different HRU discretization definitions. The post-processing utilities help in interpreting the model's results from a hydrological point of view. This framework will help increase the application of machine learning-based modeling approaches in hydrological sciences. [ABSTRACT FROM AUTHOR]

Published
2021
Full Text
View/download PDF

49. Modelling Hydrology and Sediment Transport in a Semi-Arid and Anthropized Catchment Using the SWAT Model: The Case of the Tafna River (Northwest Algeria)

Author

Zettam, A., Taleb, A., Sauvage, S., Boithias, Laurie, Belaidi, N., Sánchez-Pérez, J. M., and Ouillon, Sylvain (ed.)

Subjects
lcsh:TD201-500, soil erosion, lcsh:Hydraulic engineering, lcsh:Water supply for domestic and industrial purposes, lcsh:TC1-978, SWAT, water scarcity, sediment transport modelling, Tafna catchment, North Africa
Abstract

Sediment deposits in North African catchments contribute to around 2%-5% of the yearly loss in the water storage capacity of dams. Despite its semi-arid climate, the Tafna River plays an important role in Algeria's water self-sufficiency. There is continuous pressure on the Tafna's dams to respond to the demand for water. The Soil and Water Assessment Tool (SWAT) was used to evaluate the contribution of different compartments in the basin to surface water and the dams' impact on water and sediment storage and its flux to the sea in order to develop reservoir management. The hydrological modelling fitted well with the observed data (Nash varying between 0.42 and 0.75 and R-2 varying between 0.25 and 0.84). A large proportion of the surface water came from surface runoff (59%) and lateral flow (40%), while the contribution of groundwater was insignificant (1%). SWAT was used to predict sediments in all the gauging stations. Tafna River carries an average annual quantity of 2942 tyr(-1) to the Mediterranean Sea. A large amount of water was stored in reservoirs (49%), which affected the irrigated agricultural zone downstream of the basin. As the dams contain a large amount of sediment, in excess of 27,000 tyr(-1) (90% of the sediment transported by Tafna), storage of sediment reduces the lifetime of reservoirs.

Published
2017

Catalog

Books, media, physical & digital resources
See catalog results