@article{fdi:010054161,
  title = {{I}nverse models to analyze the spatiotemporal variations of chemical weathering fluxes in a granito-gneissic watershed : {M}ule {H}ole, {S}outh {I}ndia},
  author = {{S}oumya, {B}. {S}. and {S}ekhar, {M}. and {R}iotte, {J}ean and {A}udry, {S}. and {L}agane, {C}hristelle and {B}raun, {J}ean-{J}acques},
  editor = {},
  language = {{ENG}},
  abstract = {{W}ater-rock reactions are driven by the influx of water, which are out of equilibrium with the mineral assemblage in the rock. {H}ere a mass balance approach is adopted to quantify these reactions. {B}ased on field experiments carried out in a granito-gneissic small experimental watershed ({SEW}), {M}ule {H}ole {SEW} (similar to 4.5 km(2)), quartz, oligoclase, sericite, epidote and chlorite are identified as the basic primary minerals while kaolinite, goethite and smectite are identified as the secondary minerals. {O}bserved groundwater chemistry is used to determine the weathering rates, in terms of '{M}ass {T}ransfer {C}oefficients' ({MTC}s), of both primary and secondary minerals. {W}eathering rates for primary and secondary minerals are quantified in two steps. {I}n the first step, top red soil is analyzed considering precipitation chemistry as initial phase and water chemistry of seepage flow as final phase. {I}n the second step, minerals present in the saprolite layer are analyzed considering groundwater chemistry as the output phase. {W}eathering rates thus obtained are converted into weathering fluxes ({Q}(weathering)) using the recharge quantity. {S}patial variability in the mineralogy observed among the thirteen wells of {M}ule {H}ole {SEW} is observed to be reflected in the {MTC} results and thus in the weathering fluxes. {W}eathering rates of the minerals in this silicate system varied from few 10 mu mol/{L} (in case of biotite) to 1000 s of micromoles per liter (calcite). {S}imilarly, fluxes of biotite are observed to be least (7 +/- 5 mol/ha/yr) while those of calcite are highest (1265 791 mol/ha/yr). {F}urther, the fluxes determined annually for all the minerals are observed to be within the bandwidth of the standard deviation of these fluxes. {V}ariations in these annual fluxes are indicating the variations in the precipitation. {H}ence, the standard deviation indicated the temporal variations in the fluxes, which might be due to the variations in the annual rainfall. {T}hus, the methodology adopted defines an inverse way of determining weathering fluxes, which mainly contribute to the groundwater concentration.},
  keywords = {{M}ass transfer coefficient ({MTC}) ; {G}roundwater chemistry ; {M}ineralogy ; {S}ilicate chemical weathering ; {R}egolith ; {W}eathering fluxes},
  booktitle = {},
  journal = {{G}eoderma},
  volume = {165},
  numero = {1},
  pages = {12--24},
  ISSN = {0016-7061},
  year = {2011},
  DOI = {10.1016/j.geoderma.2011.06.015},
  URL = {https://www.documentation.ird.fr/hor/fdi:010054161},
}