{"refrec":{"BRefID":356552,"RR":"<b>Nmor, S.I.; Viollier, E.; Pastor, L.; Lansard, B.; Rabouille, C.; Soetaert, K.</b> (2022). FESDIA (v1.0): exploring temporal variations of sediment biogeochemistry under the influence of flood events using numerical modelling. <i>Geosci. Model Dev. 15(19)</i>: 7325-7351. <a href=\"https://dx.doi.org/10.5194/gmd-15-7325-2022\" target=\"_blank\">https://dx.doi.org/10.5194/gmd-15-7325-2022</a>","BEntID":354267,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":1,"RefStringPartII":". <i>Geosci. Model Dev. 15(19)</i>: 7325-7351. <a href=\"https://dx.doi.org/10.5194/gmd-15-7325-2022\" target=\"_blank\">https://dx.doi.org/10.5194/gmd-15-7325-2022</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":0,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Nmor, S.I.; Viollier, E.; Pastor, L.; Lansard, B.; Rabouille, C.; Soetaert, K.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Nmor, S.I. <i>et al.</i>","Englishabstract":"<p>    Episodic events of flood deposit in coastal environments are characterized    by deposition of large quantities of sediment containing reactive organic    matter within short periods of time. While steady-state modelling is common    in sediment biogeochemical modelling, the inclusion of these events in    current early diagenesis models has yet to be demonstrated. We adapted an    existing model of early diagenetic processes to include the ability to    mimic an immediate organic carbon deposition. The new model version    (FESDIA) written in Fortran and R programming language was able to    reproduce the basic trends from field sediment porewater data affected by    the November 2008 flood event in the Rhône River prodelta. Simulation    experiments on two end-member scenarios of sediment characteristics    dictated by field observation (1–high thickness deposit, with low TOC    (total organic carbon) and 2–low thickness, with high TOC), reveal    contrasting evolutions of post-depositional profiles. A first-order    approximation of the differences between subsequent profiles was used to    characterize the timing of recovery (i.e. relaxation time) from this    alteration. Our results indicate a longer relaxation time of approximately    4 months for and 5 months for DIC (dissolved inorganic carbon) in the first    scenario, and less than 3 months for the second scenario which agreed with    timescale observed in the field. A sensitivity analysis across a spectrum    of these end-member cases for the organic carbon content (described as the    enrichment factor <em>α</em>) and for sediment thickness indicates that the    relaxation time for oxygen, sulfate, and DIC decreases with increasing    organic enrichment for a sediment deposition that is less than 5 cm.    However, for larger deposits (>14 cm), the relaxation time for oxygen,    sulfate, and DIC increases with <em>α</em>. This can be related to the    depth-dependent availability of oxidant and the diffusion of species. This    study emphasizes the significance of these sediment characteristics in    determining the sediment's short-term response in the presence of an    episodic event. Furthermore, the model described here provides a useful    tool to better understand the magnitude and dynamics of flooding event on    biogeochemical reactions on the seafloor.</p>","AbstractOtherLang":null,"BibLvlCode":"AS","StandardTitle":"FESDIA (v1.0): exploring temporal variations of sediment biogeochemistry under the influence of flood events using numerical modelling","OrigTitleLangCode":"en","OrigTitleLangCodeExtended":"eng","OrigTitleLangID":15,"DateLastModified":{"date":"2026-04-22 01:32:26.981947","timezone_type":1,"timezone":"+02:00"},"UserAccessRight":null,"UserAccID":null,"AuthorKeywords":null,"OtherDescriptors":null,"Notes":null,"AnaPub":2022,"MonPub":null,"DateUpdate":"2022-10-20","DateCreate":"2022-10-20","SecASFANote":null,"ConfID":null,"PeerRev":1,"VlizCoreFlag":1,"WoScode":"WOS:000863617300001","VABBcode":null,"OpenAcc":1,"DOI":"10.5194/gmd-15-7325-2022"},"refs":null,"anarec":{"AnaID":356552,"PubliDate":2022,"Pagination":"7325-7351","XtraPublOfAnaID":null,"ISBN":null,"Volume":"15","Issue":"19","BRefMon":null,"BRefMonRR":null,"BRefXtra":null,"BRefXtraRR":null,"SerBRefID":209852,"SerRR":"Geoscientific Model Development. 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