A framework for hydrologic classification with a review of methodologies and applications in ecohydrology

JD Olden, MJ Kennard, BJ Pusey - Ecohydrology, 2012 - Wiley Online Library
Hydrologic classification is one of the most widely applied tasks in ecohydrology. During the
last two decades, a considerable effort has gone into analysis and development of …

A ranking of hydrological signatures based on their predictability in space

N Addor, G Nearing, C Prieto… - Water Resources …, 2018 - Wiley Online Library
Hydrological signatures are now used for a wide range of purposes, including catchment
classification, process exploration, and hydrological model calibration. The recent boost in …

Identifying pollution sources and predicting urban air quality using ensemble learning methods

KP Singh, S Gupta, P Rai - Atmospheric Environment, 2013 - Elsevier
In this study, principal components analysis (PCA) was performed to identify air pollution
sources and tree based ensemble learning models were constructed to predict the urban air …

Multilevel and multiscale drought reanalysis over France with the Safran-Isba-Modcou hydrometeorological suite

JP Vidal, E Martin, L Franchistéguy… - Hydrology and Earth …, 2010 - hess.copernicus.org
Physically-based droughts can be defined as a water deficit in at least one component of the
land surface hydrological cycle. The reliance of different activity domains (water supply …

Advancing monthly streamflow prediction accuracy of CART models using ensemble learning paradigms

HI Erdal, O Karakurt - Journal of Hydrology, 2013 - Elsevier
Streamflow forecasting is one of the most important steps in the water resources planning
and management. Ensemble techniques such as bagging, boosting and stacking have …

[HTML][HTML] Multi-hazard exposure map** using machine learning techniques: A case study from Iran

O Rahmati, S Yousefi, Z Kalantari, E Uuemaa… - Remote Sensing, 2019 - mdpi.com
Mountainous areas are highly prone to a variety of nature-triggered disasters, which often
cause disabling harm, death, destruction, and damage. In this work, an attempt was made to …

Regionalization of patterns of flow intermittence from gauging station records

TH Snelder, T Datry, N Lamouroux… - Hydrology and Earth …, 2013 - hess.copernicus.org
Understanding large-scale patterns in flow intermittence is important for effective river
management. The duration and frequency of zero-flow periods are associated with the …

[HTML][HTML] Image classification and land cover map** using sentinel-2 imagery: optimization of SVM parameters

S Yousefi, S Mirzaee, H Almohamad, AA Al Dughairi… - Land, 2022 - mdpi.com
Land use/cover (LU/LC) classification provides proxies of the natural and social processes
related to urban development, providing stakeholders with crucial information. Remotely …

Flow prediction in ungauged catchments using probabilistic random forests regionalization and new statistical adequacy tests

C Prieto, N Le Vine, D Kavetski… - Water Resources …, 2019 - Wiley Online Library
Flow prediction in ungauged catchments is a major unresolved challenge in scientific and
engineering hydrology. This study attacks the prediction in ungauged catchment problem by …

Comparing methods for estimating flow duration curves at ungauged sites

DJ Booker, TH Snelder - Journal of Hydrology, 2012 - Elsevier
Flow duration curves (FDCs) are a useful tool for characterising hydrological regimes and
flow variability. FDCs observed at 379 gauging stations located across New Zealand were …