@article{fdi:010064224,
  title = {{E}valuating the impact of the spatial distribution of land management practices on water erosion : case study of a {M}editerranean catchment},
  author = {{G}umiere, {S}. {J}. and {B}ailly, {J}. {S}. and {C}heviron, {B}. and {R}aclot, {D}amien and {L}e {B}issonnais, {Y}. and {R}ousseau, {A}. {N}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he spatial distribution of land management practices ({LMP}s), such as the use of vegetated filters, may have a strong impact on their efficiency in trapping sediments and pollutants. {D}istributed water erosion models help managers, planners, and policymakers optimize the efficiency of these {LMP}s regarding their location relative to water and sediment pathways. {I}n this work, the authors analyzed the impact of the spatial distribution of {LMP}s using an existing distributed model and sensitivity analysis procedures. {T}he distributed model that was used is a distributed single-event physically based water erosion model developed to calculate erosion rates and sediment flow for small (less than 10km2) agricultural catchments. {T}o measure the impact of the spatial distribution of {LMP}s, the authors developed a stochastic model that generates {LMP} locations over the entire catchment. {T}he stochastic model has three input parameters: the density of {LMP}s, their downslope/upslope location probability, and the probability density function shape controller. {B}ecause of its ability to account for the cross effects between parameters, the variance-based {S}obol method was used to calculate the sensitivity of the soil loss ratio of a typical {M}editerranean agricultural catchment ({R}oujan, southern {F}rance) to the {LMP} location model parameters. {T}hree measurement points (two subcatchment outlets and the main outlet) were used to examine the spatially distributed effects of the {LMP} locations. {T}he simulation results indicated that 70% of the variation of the net erosion is explained by variations in {LMP} density for the main outlet catchment, making {LMP} density the most sensitive parameter. {H}owever, the total {S}obol sensitivity indices indicate a strong interaction among the three parameters when the density values are low (few {LMP}s are applied). {T}hus, although the density of the {LMP}s is the most sensitive parameter, their location may influence their global trapping efficiency in (real) cases where few {LMP}s are applied.},
  keywords = {{S}patial distribution of land management practices ; {D}istributed water ; erosion models ; {M}hydas-erosion ; {E}rosion rates ; {S}ediment flow ; {FRANCE} ; {ZONE} {MEDITERRANEENNE}},
  booktitle = {{S}oil erosion and sediment yield modeling},
  journal = {{J}ournal of {H}ydrologic {E}ngineering},
  volume = {20},
  numero = {6 (no sp{\'e}cial)},
  pages = {{C}5014004 [10 p.]},
  ISSN = {1084-0699},
  year = {2015},
  DOI = {10.1061/(asce)he.1943-5584.0001076},
  URL = {https://www.documentation.ird.fr/hor/fdi:010064224},
}