An approach to estimate nonparametric flow duration curves in ungauged basins

By D. Ganora, P. Claps, Francesco Laio, Alberto Viglione. 2009

96 citations recorded by the source corpus.

Subfields: Environmental Chemistry, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/05a8e54ba8d49af26cd174bec9562e5f15b9bcb9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Chemistry

1. DJ Booker
2. T. Snelder

In Global and Planetary Change

1. Attilio Castellarin
2. Armando Brath
3. Alessio Pugliese
4. DJ Booker
5. T. Snelder
6. Donald H. Burn

In Water Science and Technology

1. Attilio Castellarin
2. Armando Brath
3. Alessio Pugliese
4. DJ Booker
5. T. Snelder
6. Donald H. Burn
7. William H. Farmer

Citations in the corpus

• Geostatistical prediction of flow–duration curves in an index-flow framework (2014, methodology): “In particular, the interpolation strategy applied in this study (termed total negative deviation top-kriging, TNDTK), that is (1) the computation of the streamflow index total negative deviation (TND) for empirical standardised FDCs, (2) the modelling of spatial correlation of empirical TND values a”
• Comparing methods for estimating flow duration curves at ungauged sites (2012, methodology): “(9)) or a log Pearson Type III (LP3) distribution respectively (Ganora et al., 2009).”