Statistical self-similarity of width function maxima with implications to floods

By S. Veitzer, Vijay K. Gupta. 2001

57 citations recorded by the source corpus.

Subfields: Ecology, Global and Planetary Change, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/05b42ef11dfbe0b76286c998e07f3df844a299c5

How researchers see this paper

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

In Ecology

1. E. Foufoula‐Georgiou
2. Ricardo Mantilla
3. Witold F. Krajewski
4. Ilya Zaliapin
5. T. B. Ayalew
6. S. Zanardo

In Global and Planetary Change

1. E. Foufoula‐Georgiou
2. Ricardo Mantilla
3. Witold F. Krajewski
4. Ilya Zaliapin
5. T. B. Ayalew
6. S. Zanardo

In Water Science and Technology

1. E. Foufoula‐Georgiou
2. Ricardo Mantilla
3. Witold F. Krajewski
4. Ilya Zaliapin
5. T. B. Ayalew
6. S. Zanardo

Citations in the corpus

• Connecting the power-law scaling structure of peak-discharges to spatially variable rainfall and catchment physical properties (2014, background): “The scale-invariance property of peak-discharges is a manifestation of the scale-invariance property of the drainage network that is further modified by rainfall and hillslope–channel-link dynamics [6,12,13,22,33].”
• Are American rivers Tokunaga self‐similar? New results on fluvial network topology and its climatic dependence (2013, background): “For example, the observed scaling relationships between hydrologic (e.g., annual peak flow) and geomorphic (e.g., drainage area, width function peak) variables have been frequently studied through ensemble simulations of synthetic river networks [e.g.,Menadbe et al., 2001; Veitzer and Gupta, 2001].”