This study investigates the capability of sequence-to-sequence machine learning (ML)
architectures in an effort to develop streamflow forecasting tools for Canadian watersheds …

In this article, an approach using Bayesian Generalised Least Squares (BGLS) regression in
a region-of-influence (ROI) framework is proposed for regional flood frequency analysis …

We compare the ability of eight machine-learning models (elastic net, gradient boosting,
kernel-k-nearest neighbors, two variants of support vector machines, M5-cubist, random …

This paper examines the applicability of principal component analysis (PCA) and cluster
analysis in regional flood frequency analysis. A total of 88 sites in New South Wales …

Despite wide use of regression-based regional flood frequency analysis (RFFA) methods,
the majority are based on either ordinary least squares (OLS) or generalized least squares …

To estimate flood quantiles and other statistics at ungauged sites, many organizations
employ an iterative generalized least squares (GLS) regression procedure to estimate the …

Regression‐based regional flood frequency analysis (RFFA) methods are widely adopted in
hydrology. This paper compares two regression‐based RFFA methods using a Bayesian …

Abstract Study region Southeast Australia Study focus This study examines identification of
homogeneous regions for regional flood frequency analysis (RFFA) using 201 gauged …

Analysing historical drought pattern is vital for implementation of efficient drought adaptation
and mitigation policies. In this study, we examined the meteorological drought …

Regional Flood-Frequency Analysis: How We Got Here and Where We Are Going | Journal of
Hydrologic Engineering | Vol 17, No 9 ASCE Logo, redirects to the Home Page Search term(s) …