Multivariate power-law models for streamflow prediction in the Mekong Basin

@inproceedings{Lacombea2014MultivariatePM,
  title={Multivariate power-law models for streamflow prediction in the Mekong Basin},
  author={Guillaume Lacombea and Somphasith Douangsavanha and Richard M. Vogelb and Matthew McCartneya and Yann Cheminc and Lisa-Maria Rebeloa and Touleelor Sotoukeea},
  year={2014}
}
  • Guillaume Lacombea, Somphasith Douangsavanha, +4 authors Touleelor Sotoukeea
  • Published 2014
Study region: Increasing demographic pressure and economic development in the Mekong Basin result in greater dependency on river water resources and increased vulnerability to streamflow variations. Study focus: Improved knowledge of flow variability is therefore paramount, especially in remote catchments, rarely gauged, and inhabited by vulnerable populations. We present simple multivariate power-law relationships for estimating streamflow metrics in ungauged areas, from easily obtained… CONTINUE READING
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