Regional Flood Frequency Analysis of the Seven Sites of Punjab, Pakistan, Using L-Moments

By Zamir Hussain, G. R. Pasha. 2009

59 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/078dc162b187f20c898c54f9148c19eb5e66b904

How researchers see this paper

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

In Atmospheric Science

1. Murat Cobaner
2. T. Haktanır
3. R. Yurtal
4. N. Seçkin

In Global and Planetary Change

1. Murat Cobaner
2. T. Haktanır
3. R. Yurtal
4. N. Seçkin

Citations in the corpus

• Comparison of Artificial Neural Network Methods with L-moments for Estimating Flood Flow at Ungauged Sites: the Case of East Mediterranean River Basin, Turkey (2013, methodology): “The index-flood method with the L-moments approach is explained with examples in the book by Hosking and Wallis (1997), and it is rephrased concisely by most relevant papers (e.g., Abolverdi and Khalili 2010; Atiem and Harmancioglu 2006; Hussain and Pasha 2009; Kumar et al. 2003; Parida, et al. 1998”