Non-stationary approach to at-site flood frequency modelling. II. Weighted least squares estimation

By W. Strupczewski, Z. Kaczmarek. 2001

102 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/1783c1ce0467df8db79a9858467d96509beda692

How researchers see this paper

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

In Environmental Engineering

1. S. E. Debele
2. E. Bogdanowicz
3. Z. Zahmatkesh
4. Kun-xia Yu
5. Saeed Golian
6. Cong Jiang
7. A. Razmi
8. Lihua Xiong

In Global and Planetary Change

1. Chong-yu Xu
2. Shenglian Guo
3. Lihua Xiong
4. S. E. Debele
5. E. Bogdanowicz
6. Cong Jiang
7. Saeed Golian
8. Z. Zahmatkesh

In Water Science and Technology

1. Shenglian Guo
2. Chong-yu Xu
3. S. E. Debele
4. E. Bogdanowicz
5. Lihua Xiong
6. Cong Jiang
7. Z. Zahmatkesh
8. Saeed Golian

Citations in the corpus

• Comparison of methods for non-stationary hydrologic frequency analysis: Case study using annual maximum daily precipitation in Taiwan (2017, unknown): “This study defined cð2Þt as the reciprocal of the expected squared error of the second moment. cð2Þt ¼ 1 r2ðe2t Þ ¼ 1 l̂4ðxtÞ r4ðxtÞ ð6Þ In accordance with Strupczewski and Kaczmarek (2001), Eq.”
• A framework of change‐point detection for multivariate hydrological series (2015, background): “…in univariate hydrological series [Kendall, 1975; Chiew and McMahon, 1993; Moraes et al., 1998; Perreault et al., 1999; Rasmussen, 2001; Strupczewski and Kaczmarek, 2001; Strupczewski et al., 2001a,b; Yue et al., 2002; Wong et al., 2006; El Adlouni et al., 2007; Villarini et al., 2009;…”
• A comparison of three approaches to non-stationary flood frequency analysis (2017, methodology): “• An aggregate estimation of time-dependent mean and standard deviation performed by the weighted least squares (WLS) method (Strupczewski and Kaczmarek 2001; Strupczewski et al. 2016; Kochanek et al. 2013), standardization of the time series using the timedependent moments, then estimation of const”
• Non-Stationary Frequency Analysis of Extreme Water Level: Application of Annual Maximum Series and Peak-over Threshold Approaches (2017, background): “Methods of time-varying moments can be employed for non-stationary flood FA (Strupczewski et al. 2001a, b; Strupczewski and Kaczmarek 2001; Coles 2001; Katz et al. 2002; Khaliq et al. 2006; Villarini et al. 2009; Salas and Obeysekera 2014).”