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DOI10.5194/hess-24-3111-2020
Crossing hydrological and geochemical modeling to understand the spatiotemporal variability of water chemistry in a headwater catchment (Strengbach; France)
Ackerer J.; Jeannot B.; Delay F.; Weill S.; Lucas Y.; Fritz B.; Viville D.; Chabaux F.
发表日期2020
ISSN1027-5606
起始页码3111
结束页码3133
卷号24期号:6
英文摘要Understanding the variability of the chemical composition of surface waters is a major issue for the scientific community. To date, the study of concentration-discharge relations has been intensively used to assess the spatiotemporal variability of the water chemistry at watershed scales. However, the lack of independent estimations of the water transit times within catchments limits the ability to model and predict the water chemistry with only geochemical approaches. In this study, a dimensionally reduced hydrological model coupling surface flow with subsurface flow (i.e., the Normally Integrated Hydrological Model, NIHM) has been used to constrain the distribution of the flow lines in a headwater catchment (Strengbach watershed, France). Then, hydrogeochemical simulations with the code KIRMAT (i.e., KInectic Reaction and MAss Transport) are performed to calculate the evolution of the water chemistry along the flow lines. Concentrations of dissolved silica (H4SiO4) and in basic cations (Na+, K+, Mg2+, and Ca2+) in the spring and piezometer waters are correctly reproduced with a simple integration along the flow lines. The seasonal variability of hydraulic conductivities along the slopes is a key process to understand the dynamics of flow lines and the changes of water transit times in the watershed. The covariation between flow velocities and active lengths of flow lines under changing hydrological conditions reduces the variability of water transit times and explains why transit times span much narrower variation ranges than the water discharges in the Strengbach catchment. These findings demonstrate that the general chemostatic behavior of the water chemistry is a direct consequence of the strong hydrological control of the water transit times within the catchment. Our results also show that a better knowledge of the relations between concentration and mean transit time (C/-MTT relations) is an interesting new step to understand the diversity of C/-Q/ shapes for chemical elements. The good match between the measured and modeled concentrations while respecting the water-rock interaction times provided by the hydrological simulations also shows that it is possible to capture the chemical composition of waters using simply determined reactive surfaces and experimental kinetic constants. The results of our simulations also strengthen the idea that the low surfaces calculated from the geometrical shapes of primary minerals are a good estimate of the reactive surfaces within the environment. © 2020 Cambridge University Press. All rights reserved.
语种英语
scopus关键词Catchments; Chemical elements; Climate models; Rate constants; Runoff; Silica; Sodium compounds; Watersheds; Chemical compositions; Geochemical approaches; Hydrological condition; Hydrological modeling; Hydrological simulations; Integrated hydrological modeling; Spatiotemporal variability; Water rock interactions; Hydrochemistry; catchment; concentration (composition); headwater; hydrogeochemistry; hydrological modeling; modeling; spatiotemporal analysis; subsurface flow; surface water; water-rock interaction; watershed; France; Grand Est; Haut Rhin; Strengbach
来源期刊Hydrology and Earth System Sciences
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/159373
作者单位Ackerer, J., Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, Strasbourg CEDEX, 67084, France; Jeannot, B., Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, Strasbourg CEDEX, 67084, France; Delay, F., Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, Strasbourg CEDEX, 67084, France; Weill, S., Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, Strasbourg CEDEX, 67084, France; Lucas, Y., Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, Strasbourg CEDEX, 67084, France; Fritz, B., Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Strasbourg, CNRS, ENGEES, 1 rue Blessig, Strasbourg CEDEX, 67084, France; Viville, D., Laboratoire d'Hydrologie et de Géochimie de Strasbourg, Université de Str...
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Ackerer J.,Jeannot B.,Delay F.,et al. Crossing hydrological and geochemical modeling to understand the spatiotemporal variability of water chemistry in a headwater catchment (Strengbach; France)[J],2020,24(6).
APA Ackerer J..,Jeannot B..,Delay F..,Weill S..,Lucas Y..,...&Chabaux F..(2020).Crossing hydrological and geochemical modeling to understand the spatiotemporal variability of water chemistry in a headwater catchment (Strengbach; France).Hydrology and Earth System Sciences,24(6).
MLA Ackerer J.,et al."Crossing hydrological and geochemical modeling to understand the spatiotemporal variability of water chemistry in a headwater catchment (Strengbach; France)".Hydrology and Earth System Sciences 24.6(2020).
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