Articles | Volume 17, issue 1
https://doi.org/10.5194/gmd-17-449-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-449-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
16 Jan 2024
Model description paper |
| 16 Jan 2024
| 16 Jan 2024
The community-centered freshwater biogeochemistry model unified RIVE v1.0: a unified version for water column
Shuaitao Wang
CORRESPONDING AUTHOR
CNRS, EPHE, UMR Metis, Sorbonne Université, 75005 Paris, France
Vincent Thieu
CNRS, EPHE, UMR Metis, Sorbonne Université, 75005 Paris, France
Gilles Billen
CNRS, EPHE, UMR Metis, Sorbonne Université, 75005 Paris, France
Josette Garnier
CNRS, EPHE, UMR Metis, Sorbonne Université, 75005 Paris, France
Marie Silvestre
CNRS, FR3020 FIRE, Sorbonne Université, 75005 Paris, France
Audrey Marescaux
CNRS, EPHE, UMR Metis, Sorbonne Université, 75005 Paris, France
Xingcheng Yan
CNRS, EPHE, UMR Metis, Sorbonne Université, 75005 Paris, France
Nicolas Flipo
Mines Paris, PSL University, Center for geosciences and geoengineering, 77300 Fontainebleau, France
Related authors
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Masihullah Hasanyar, Thomas Romary, Shuaitao Wang, and Nicolas Flipo
Biogeosciences, 20, 1621–1633, https://doi.org/10.5194/bg-20-1621-2023, https://doi.org/10.5194/bg-20-1621-2023, 2023
Short summary
Short summary
The results of this study indicate that biodegradable dissolved organic matter is responsible for oxygen depletion at low flow during summer seasons when heterotrophic bacterial activity is so intense. Therefore, the dissolved organic matter must be well measured in the water monitoring networks in order to have more accurate water quality models. It also advocates for high-frequency data collection for better quantification of the uncertainties related to organic matter.
Nicolas Flipo, Nicolas Gallois, and Jonathan Schuite
Geosci. Model Dev., 16, 353–381, https://doi.org/10.5194/gmd-16-353-2023, https://doi.org/10.5194/gmd-16-353-2023, 2023
Short summary
Short summary
A new approach is proposed to fit hydrological or land surface models, which suffer from large uncertainties in terms of water partitioning between fast runoff and slow infiltration from small watersheds to regional or continental river basins. It is based on the analysis of hydrosystem behavior in the frequency domain, which serves as a basis for estimating water flows in the time domain with a physically based model. It opens the way to significant breakthroughs in hydrological modeling.
Cited articles
Aissa-Grouz, N., Garnier, J., and Billen, G.: Long trend reduction of phosphorus wastewater loading in the Seine: determination of phosphorus speciation and sorption for modeling algal growth, Environ. Sci. Pollut. Res., 25, 23515–23528, https://doi.org/10.1007/s11356-016-7555-7, 2016. a
Alexander, R. B., Elliott, A. H., Shankar, U., and McBride, G. B.: Estimating the sources and transport of nutrients in the Waikato River Basin, New Zealand, Water Resour. Res., 38, 4-1–4-23, https://doi.org/10.1029/2001WR000878, 2002. a
Azam, F., Fenchel, T., Gray, J., Meyer, L., and Thingstad, F.: The Ecological Role of Water-Column Microbes in the Sea, Mar. Ecol. Prog. Ser., 10, 257–263, 1983. a
Battin, T. J., Lauerwald, R., Bernhardt, E. S., Bertuzzo, E., Gener, L. G., Hall, R. O., Hotchkiss, E. R., Maavara, T., Pavelsky, T. M., Ran, L., Raymond, P., Rosentreter, J. A., and Regnier, P.: River Ecosystem Metabolism and Carbon Biogeochemistry in a Changing World, Nature, 613, 449–459, https://doi.org/10.1038/s41586-022-05500-8, 2023. a
Billen, G.: Protein degradation in Aquatic Environments, in: Microbial Enzyme in Aquatic Environments, edited by: Chrost, R., Springer Verlag, Berlin, https://doi.org/10.1007/978-1-4612-3090-8_7, 1991. a, b
Billen, G., Servais, P., and Fontigny, A.: Growth and mortality in bacterial populations dynamics of aquatic environments, Arch. Hydrobiol. Beih. Ergebn. Limnol., 31, 173–183, 1988. a
Billen, G., Servais, P., and Becquevort, S.: Dynamics of bacterioplankton in oligotrophic and eutrophic aquatic environments: bottom-up or top-down control?, in: Fluxes Between Trophic Levels and Through the Water-Sediments Interface, edited by: Bonin, D. and Golterman, H., 37–42, Kluwer Academic Publishers, https://doi.org/10.1007/BF00041438, 1990. a
Billen, G., Garnier, J., and Silvestre, M.: A simplified algorithm for calculating benthic nutrient fluxes in river systems, Ann. Limnol.-Int. J. Lim., 51, 37–47, https://doi.org/10.1051/limn/2014030, 2015. a, b
Brion, N. and Billen, G.: Une réevaluation de la méthode de mesure de l'activité nitrifiante autotrophe par la méthode d'incorporation de bicarbonate marqué H14CO
Conley, D. J., Kilham, S. S., and Theriot, E.: Differences in silica content between marine and freshwater diatoms, Limnol. Oceanogr., 34, 205–212, https://doi.org/10.4319/lo.1989.34.1.0205, 1989. a
Culberson, C. H.: Calculation of the in situ pH of seawater1, Limnol. Oceanogr., 25, 150–152, https://doi.org/10.4319/lo.1980.25.1.0150, 1980. a
Desmit, X., Thieu, V., Billen, G., Campuzano, F., Dulière, V., Garnier, J., Lassaletta, L., Ménesguen, A., Neves, R., Pinto, L., Silvestre, M., Sobrinho, J., and Lacroix, G.: Reducing marine eutrophication may require a paradigmatic change, Sci. Total Environ., 635, 1444–1466, https://doi.org/10.1016/j.scitotenv.2018.04.181, 2018. a, b
Escoffier, N., Bensoussan, N., Vilmin, L., Flipo, N., Rocher, V., David, A., Métivier, F., and Groleau, A.: Estimating ecosystem metabolism from continuous multi-sensor measurements in the Seine River, Environ. Sci. Pollut. Res., 25, 23451–23467, https://doi.org/10.1007/s11356-016-7096-0, 2018. a
Even, S., Poulin, M., Garnier, J., Billen, G., Servais, P., Chesterikoff, A., and Coste, M.: River ecosystem modelling: Application of the ProSe model to the Seine river (France), Hydrobiologia, 373, 27–45, https://doi.org/10.1023/A:1017045522336, 1998. a, b, c
Even, S., Mouchel, J. M., Servais, P., Flipo, N., Poulin, M., Blanc, S., Chabanel, M., and Paffoni, C.: Modeling the impacts of Combined Sewer Overflows on the river Seine water quality, Sci. Total Environ., 375, 140–151, https://doi.org/10.1016/j.scitotenv.2006.12.007, 2007. a, b, c
Fick, A.: Ueber diffusion, Annalen der Physik und Chemie, J.A. Barth, https://doi.org/10.1002/andp.18551700105, 1855. a
Flipo, N., Rabouille, C., Poulin, M., Even, S., Tusseau-Vuillemin, M. H., and Lalande, M.: Primary production in headwater streams of the Seine basin: the Grand Morin case study, Sci. Total Environ., 375, 98–109, https://doi.org/10.1016/j.scitotenv.2006.12.015, 2007. a, b
Fontigny, A., Billen, G., and Vives-Rego, J.: Some kinetic characteristics of exoproteolytic activity in coastal seawater, Estuar. Coast. Shelf Sci., 25, 127–133, https://doi.org/10.1016/0272-7714(87)90030-8, 1987. a
Fuhrman, J. and Azam, F.: Thymidine Incorporation as a Measure of Heterotrophic Bacterioplankton Production in Marine Surface Waters: Evaluation and Field Results, Mar. Biol., 66, 109–120, 1982. a
Garnier, J. and Billen, G.: Production vs. Respiration in river systems: An indicator of an “ecological status”, Sci. Total Environ., 375, 110–124, https://doi.org/10.1016/j.scitotenv.2006.12.006, 2007. a
Garnier, J., Servais, P., and Billen, G.: Bacterioplankton in the Seine river (France): impact of the Parisian urban effluent, Can. J. Microbiol., 38, 56–64, 1992b. a
Garnier, J., Billen, G., Hanset, P., Testard, P., and Coste, M.: Développement algual et eutrophisation dans le réseau hydrographique de la Seine, in: La Seine en son bassin-Fonctionnement écologique d'un système fluvial anthropisé, edited by: Meybeck, M., de Marsily, G., and Fustec, E., 593–626, Elsevier, ISBN 9782842990589, 1998. a
Garnier, J., Billen, G., and Palfner, L.: Understanding the Oxygen Budget and Related Ecological Processes in the River Mosel: The RIVERSTRAHLER Approach, in: Man and River Systems, edited by: Garnier, J. and Mouchel, J.-M., Springer Netherlands, Dordrecht, 151–166, ISBN 978-90-481-5393-0 978-94-017-2163-9, https://doi.org/10.1007/978-94-017-2163-9_17, 1999a. a, b
Garnier, J., Leporcq, B., Sanchez, N., and Philippon, X.: Biogeochemical mass-balances (C, N, P, Si) in three large reservoirs of the Seine Basin (France), Biogeochemistry, 47, 119–146, https://doi.org/10.1023/A:1006101318417, 1999b. a
Garnier, J., Brion, N., Callens, J., Passy, P., Deligne, C., Billen, G., Servais, P., and Billen, C.: Modeling historical changes in nutrient delivery and water quality of the Zenne River (1790s–2010): The role of land use, waterscape and urban wastewater management, J. Marine Syst., 128, 62–76, https://doi.org/10.1016/j.jmarsys.2012.04.001, 2013. a, b
Garnier, J., Billen, G., Vilain, G., Benoit, M., Passy, P., Tallec, G., Tournebize, J., Anglade, J., Billy, C., Mercier, B., Ansart, P., Azougui, A., Sebilo, M., and Kao, C.: Curative vs. preventive management of nitrogen transfers in rural areas: Lessons from the case of the Orgeval watershed (Seine River basin, France), J. Environ. Manage., 144, 125–134, https://doi.org/10.1016/j.jenvman.2014.04.030, 2014. a, b
Garnier, J., Ramarson, A., Billen, G., Théry, S., Thiéry, D., Thieu, V., Minaudo, C., and Moatar, F.: Nutrient inputs and hydrology together determine biogeochemical status of the Loire River (France): Current situation and possible future scenarios, Sci. Total Environ., 637–638, 609–624, https://doi.org/10.1016/j.scitotenv.2018.05.045, 2018a. a, b
Garnier, J., Ramarson, A., Thieu, V., Némery, J., Théry, S., Billen, G., and Coynel, A.: How can water quality be improved when the urban waste water directive has been fulfilled? A case study of the Lot river (France), Environ. Sci. Pollut. Res., 25, 11924–11939, https://doi.org/10.1007/s11356-018-1428-1, 2018b. a, b
Garnier, J., Marescaux, A., Guillon, S., Vilmin, L., Rocher, V., Billen, G., Thieu, V., Silvestre, M., Passy, P., Raimonet, M., Groleau, A., Théry, S., Tallec, G., and Flipo, N.: The Handbook of Environmental Chemistry, chap. Ecological Functioning of the Seine River: From Long-Term Modelling Approaches to High-Frequency Data Analysis, Handbook of Environmental Chemistry, Springer, Berlin, Heidelberg, 1–28, https://doi.org/10.1007/698_2019_379, 2020. a, b
Garnier, J., Weidenfeld, L., Billen, G., Martinez, A., Mercier, B., Rocher, V., Tabuchi, J.-P., and Azimi, S.: La matière organique dans le continuum terrestre-aquatique du bassin de la Seine, Rapport annuel PIREN-Seine, PIREN-Seine, https://doi.org/10.26047/PIREN.rapp.ann.2021.vol21, 2021. a, b, c
Gurung, A., Iwata, T., Nakano, D., and Urabe, J.: River Metabolism along a Latitudinal Gradient across Japan and in a global scale, Sci. Rep., 9, 4932, https://doi.org/10.1038/s41598-019-41427-3, 2019. a
Gypens, N., Lancelot, C., and Borges, A. V.: Carbon dynamics and CO2 air-sea exchanges in the eutrophied coastal waters of the Southern Bight of the North Sea: a modelling study, Biogeosciences, 1, 147–157, https://doi.org/10.5194/bg-1-147-2004, 2004. a
Hasanyar, M., Romary, T., Wang, S., and Flipo, N.: How much do bacterial growth properties and biodegradable dissolved organic matter control water quality at low flow?, Biogeosciences, 20, 1621–1633, https://doi.org/10.5194/bg-20-1621-2023, 2023. a
Hellweger, F. L.: 100 Years since Streeter and Phelps: It Is Time To Update the Biology in Our Water Quality Models, Environ. Sci. Technol., 49, 6372–6373, https://doi.org/10.1021/acs.est.5b02130, 2015. a, b
Jähne, B., Heinz, G., and Dietrich, W.: Measurement of the diffusion coefficients of sparingly soluble gases in water, J. Geophys. Res.-Oceans, 92, 10767–10776, https://doi.org/10.1029/JC092iC10p10767, 1987. a
Korppoo, M., Huttunen, M., Huttunen, I., Piirainen, V., and Vehviläinen, B.: Simulation of bioavailable phosphorus and nitrogen loading in an agricultural river basin in Finland using VEMALA v.3, J. Hydrol., 549, 363–373, https://doi.org/10.1016/j.jhydrol.2017.03.050, 2017. a, b
Lauerwald, R., Hartmann, J., Moosdorf, N., Dürr, H. H., and Kempe, S.: Retention of dissolved silica within the fluvial system of the conterminous USA, Biogeochemistry, 112, 637–659, 2013. a
Le, T. P. Q., Billen, G., Garnier, J., Théry, S., Ruelland, D., Anh, N. X., and Van, M. C.: Nutrient (N, P, Si) transfers in the subtropical Red River system (China and Vietnam): Modelling and budget of nutrient sources and sinks, J. Asian Earth Sci., 37, 259–274, https://doi.org/10.1016/j.jseaes.2009.08.010, 2010. a, b
Le, T. P. Q., Billen, G., Garnier, J., and Chau, V.: Long-term biogeochemical functioning of the Red River (Vietnam): past and present situations, Reg. Environ. Change, 15, 329–339, https://doi.org/10.1007/s10113-014-0646-4, 2015. a, b
Lindenschmidt, K.-E., Carr, M. K., Sadeghian, A., and Morales-Marin, L.: CE-QUAL-W2 model of dam outflow elevation impact on temperature, dissolved oxygen and nutrients in a reservoir, Sci. Data, 6, 312, https://doi.org/10.1038/s41597-019-0316-y, 2019. a
Luu, M. T., Dinh, T. D., Trinh, D. A., and Doc, N. T.: Water Quality in an Urbanized River Basin Impacted by Multi-Pollution Sources: From Comprehensive Surveys to Modelling, ScienceAsia, 47, 86–95, https://doi.org/10.2306/scienceasia1513-1874.2021.014, 2021. a, b
Maavara, T., Chen, Q., Van Meter, K., Brown, L. E., Zhang, J., Ni, J., and Zarfl, C.: River dam impacts on biogeochemical cycling, Nat. Rev. Earth Environ., 1, 103–116, https://doi.org/10.1038/s43017-019-0019-0, 2020. a
Manteaux, S., Sauvage, S., Samie, R., Monteil, C., Garnier, J., Thieu, V., Cakir, R., and Sánchez-Pérez, J.-M.: Modeling in-stream biogeochemical processes at catchment scale: Coupling SWAT and RIVE models, Environ. Modell. Softw., 170, 105856, https://doi.org/10.1016/j.envsoft.2023.105856, 2023. a, b
Michaelis, L. and Menten, M. L.: Die kinetik der invertinwirkung - The kinetics of invertin action, Biochem. Z., 49, 333–369, 1913. a
Minaudo, C., Curie, F., Jullian, Y., Gassama, N., and Moatar, F.: QUAL-NET, a high temporal-resolution eutrophication model for large hydrographic networks, Biogeosciences, 15, 2251–2269, https://doi.org/10.5194/bg-15-2251-2018, 2018. a, b
Monod, J.: The growth of bacterial cultures, Annu. Rev. Microbiol., 3, 371–394, https://doi.org/10.1146/annurev.mi.03.100149.002103, 1949. a
Nguyen, H. T. M., Billen, G., Garnier, J., Rochelle-Newall, E., Ribolzi, O., Servais, P., and Le, T. P. Q.: Modelling of faecal indicator bacteria (FIB) in the Red River basin (Vietnam), Environ. Monit. Assess., 188, 517, https://doi.org/10.1007/s10661-016-5528-4, 2016. a, b
Odum, H. T.: Primary production in Flowing waters, Limnol. Oceanogr., 1, 795–801, 1956. a
Platt, T., Gallegos, C., and Harrison, W.: Photoinhibition of photosynthesis in natural assemblages of marine phytoplankton, J. Mar. Res., 38, 687–701, 1980. a
Raimonet, M., Vilmin, L., Flipo, N., Rocher, V., and Laverman, A.: Modelling the fate of nitrite in an urbanized river using experimentally obtained nitrifier growth parameters, Water Res., 73, 373–387, https://doi.org/10.1016/j.watres.2015.01.026, 2015. a
Raimonet, M., Thieu, V., Silvestre, M., Oudin, L., Rabouille, C., Vautard, R., and Garnier, J.: Landward perspective of coastal eutrophication potential under future climate change: The Seine River case (France), Front. Mar. Sci., 5, 136, https://doi.org/10.3389/fmars.2018.00136, 2018. a
Redfield, A., Ketchum, B., and Richards, F.: The Sea. Ideas and Observations on Progress in the Study of the Seas. The Composition of the Sea-Water Comparative and Descriptive Oceanography, vol. 2, in: The influence of organisms on the composition of sea-water, Interscience Publishers, 26–77, ISBN 9780674017283, 1963. a
Rego, J. V., Billen, G., Fontigny, A., and Somville, M.: Free and Attached proteolytic activity in water environments, Mar. Ecol. Prog. Ser., 21, 245–249, 1985. a
Rickert, D., Schlüter, M., and Wallmann, K.: Dissolution kinetics of biogenic silica from the water column to the sediments, Geochim. Cosmochim. Ac., 66, 439–455, https://doi.org/10.1016/S0016-7037(01)00757-8, 2002. a
Rodríguez-Castillo, T., Estévez, E., González-Ferreras, A., and Barquín, J.: Estimating Ecosystem Metabolism to Entire River Networks, Ecosystems, 22, 892–911, https://doi.org/10.1007/s10021-018-0311-8, 2019. a
Romero, E., Garnier, J., Billen, G., Ramarson, A., Riou, P., and Le Gendre, R.: Modeling the biogeochemical functioning of the Seine estuary and its coastal zone: Export, retention, and transformations, Limnol. Oceanogr., 64, 895–912, https://doi.org/10.1002/lno.11082, 2019. a, b
Ruelland, D., Billen, G., Brunstein, D., and Garnier, J.: SENEQUE: a multi-scaling GIS interface to the Riverstrahler model of the biogeochemical functioning of river systems., Sci. Total Environ., 375, 257–73, https://doi.org/10.1016/j.scitotenv.2006.12.014, 2007. a
Segatto, P., Battin, T., and Bertuzzo, E.: Modeling the coupled dynamics of stream metabolism and microbial biomass, Limnol. Oceanogr., 65, 1573–1593, https://doi.org/10.1002/lno.11407, 2020. a
Servais, P. and Garnier, J.: Contribution of Heterotrophic Bacterial Production to the Carbon Budget of the River Seine (France), Microb. Ecol., 25, 19–33, 1993. a
Servais, P., Billen, G., and Vives-Rego, J.: Rate of Bacterial Mortality in Aquatic Environments, Appl. Environ. Microbiol., 49, 1448–1454, 1985. a
Servais, P., Billen, G., and Hascoët, M.-C.: Determination of the biodegradable fraction of dissolved organic matter in waters, Water Res., 21, 445–450, 1987. a
Servais, P., Billen, G., Martinez, J., and Vives-Rego, J.: Estimating bacterial mortality by the disappearance of 3H-labeled intracellular DNA, FEMS Microbiol. Lett., 62, 119–125, https://doi.org/10.1016/0378-1097(89)90021-9, 1989. a
Servais, P., Barillier, A., and Garnier, J.: Determination of the biodegradable fraction of dissolved and particulate organic carbon in waters, Ann. Limnol.-Int. J. Lim., 31, 75–80, https://doi.org/10.1051/limn/1995005, 1995. a
Servais, P., Billen, G., Goncalves, A., and Garcia-Armisen, T.: Modelling microbiological water quality in the Seine river drainage network: past, present and future situations, Hydrol. Earth Syst. Sci., 11, 1581–1592, https://doi.org/10.5194/hess-11-1581-2007, 2007. a
Sferratore, A., Billen, G., Garnier, J., Smedberg, E., Humborg, C., and Rahm, L.: Modelling nutrient fluxes from sub-arctic basins: Comparison of pristine vs. dammed rivers, J. Marine Syst., 73, 236–249, https://doi.org/10.1016/j.jmarsys.2007.10.012, 2008. a, b
Somville, M. and Billen, G.: A method for determining exoproteolytic activity in natural water, Limnol. Oceanogr., 28, 190–193, 1983. a
Stumm, W. and Morgan, J.: Aquatic Chemistry: Chemical Equilibria and Rates in Natural Waters, A Wiley-interscience publication, Wiley, ISBN 9780471511854, 1996. a
Thieu, V., Guillon, T., Billen, G., Garnier, J., and Thouvenot, M.: Applicatif BARMAN – Notice d'utilisation., Rapport annuel PIREN-Seine, PIREN-Seine, https://doi.org/10.26047/PIREN.rapp.ann.2006.vol07, 2006. a, b, c
Thieu, V., Mayorga, E., Billen, G., and Garnier, J.: Subregional and downscaled global scenarios of nutrient transfer in river basins: Seine-Somme-Scheldt case study, Global Biogeochem. Cy., 24, GB0A10, https://doi.org/10.1029/2009GB003561, 2010. a, b, c, d
Thieu, V., Silvestre, M., Garnier, J., and Billen, G.: Introducing the biogeochemical pynuts-riverstrahler model to assess prospective scenario impact along the aquatic continuum in western eu-rivers, in: Proceedings of ASLO Aquatic Sciences Meeting: “Moutains to the Sea”, 27 February 2017, Honolulu, USA, 28904, 2017. a, b, c
Thieu, V., Silvestre, M., Wang, S., Marescaux, A., Yan, X., Garnier, J., and Billen, G.: pyRIVE, InDoRES [code], https://doi.org/10.48579/PRO/Z9ACP1, 2023. a, b
Vannote, R., Minshall, G. W., Cummins, K., Sedell, J., and Cushing, C.: The River Continuum Concept, Can. J. Fish. Aquat. Sci., 37, 130–137, https://doi.org/10.1139/f80-017, 1980. a
Vilmin, L., Aissa-Grouz, N., Garnier, J., Billen, G., Mouchel, J. M., Poulin, M., and Flipo, N.: Impact of hydro-sedimentary processes on the dynamics of soluble reactive phosphorus in the Seine River, Biogeochemistry, 122, 229–251, https://doi.org/10.1007/s10533-014-0038-3, 2015a. a, b, c, d
Vilmin, L., Flipo, N., de Fouquet, C., and Poulin, M.: Pluri-annual sediment budget in a navigated river system: The Seine River (France), Sci. Total Environ., 502, 48–59, https://doi.org/10.1016/j.scitotenv.2014.08.110, 2015b. a, b, c, d
Vilmin, L., Flipo, N., Escoffier, N., and Groleau, A.: Estimation of the water quality of a large urbanized river as defined by the European WFD: what is the optimal sampling frequency?, Environ. Sci. Pollut. Res., 25, 23485–23501, https://doi.org/10.1007/s11356-016-7109-z, 2018. a, b
Wang, S.: Simulation du métabolisme de la Seine par assimilation de données en continu, Theses, Mines Paris – PSL, https://pastel.archives-ouvertes.fr/tel-02388690 (last access: 20 December 2023), 2019. a
Wang, S., Flipo, N., and Romary, T.: Time-dependent global sensitivity analysis of the C-RIVE biogeochemical model in contrasted hydrological and trophic contexts, Water Res., 144, 341–355, https://doi.org/10.1016/j.watres.2018.07.033, 2018. a
Wang, S., Flipo, N., and Romary, T.: Oxygen data assimilation for estimating micro-organism communities’ parameters in river systems, Water Res., 165, 115021, https://doi.org/10.1016/j.watres.2019.115021, 2019. a, b, c
Wang, S., Flipo, N., Romary, T., and Hasanyar, M.: Particle filter for high frequency oxygen data assimilation in river systems, Environ. Modell. Softw., 151, 105382, https://doi.org/10.1016/j.envsoft.2022.105382, 2022. a, b, c
Wang, S., Flipo, N., and Romary, T.: Which filter for data assimilation in water quality models? Focus on oxygen reaeration and heterotrophic bacteria activity, J. Hydrol., 620, 129423, https://doi.org/10.1016/j.jhydrol.2023.129423, 2023a. a, b
Wang, S., Vilmin, L., Hasanyar, M., and Flipo, N.: C-RIVE, Zenodo [code], https://doi.org/10.5281/zenodo.7849609, 2023b. a, b
Wang, S., Thieu, V., Billen, G., Garnier, J., Silvestre, M., Marescaux, A., Yan, X., and Flipo, N.: Dataset for the paper ”The community-centered freshwater biogeochemistry model unified RIVE v1.0: a unified version for water column”, Zenodo, [data set], https://doi.org/10.5281/zenodo.10490669, 2024. a
Wanninkhof, R.: Relationship between wind speed and gas exchange over the ocean, J. Geophys. Res.-Oceans, 97, 7373–7382, https://doi.org/10.1029/92JC00188, 1992. a
Weiss, R.: Carbon dioxide in water and seawater: the solubility of a non-ideal gas, Mar. Chem., 2, 203–215, https://doi.org/10.1016/0304-4203(74)90015-2, 1974. a
Wilke, C. R. and Chang, P.: Correlation of diffusion coefficients in dilute solutions, AIChE J., 1, 264–270, https://doi.org/10.1002/aic.690010222, 1955. a
Yan, X., Thieu, V., Wu, S., and Garnier, J.: Reservoirs change pCO2 and water quality of downstream rivers: Evidence from three reservoirs in the Seine Basin, Water Res., 213, 118158, https://doi.org/10.1016/j.watres.2022.118158, 2022b. a, b, c
Short summary
This paper presents unified RIVE v1.0, a unified version of the freshwater biogeochemistry model RIVE. It harmonizes different RIVE implementations, providing the referenced formalisms for microorganism activities to describe full biogeochemical cycles in the water column (e.g., carbon, nutrients, oxygen). Implemented as open-source projects in Python 3 (pyRIVE 1.0) and ANSI C (C-RIVE 0.32), unified RIVE v1.0 promotes and enhances collaboration among research teams and public services.
This paper presents unified RIVE v1.0, a unified version of the freshwater biogeochemistry model...
