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A framework for hydrologic classification with a review of methodologies and applications in ecohydrology
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 …
last two decades, a considerable effort has gone into analysis and development of …
A ranking of hydrological signatures based on their predictability in space
Hydrological signatures are now used for a wide range of purposes, including catchment
classification, process exploration, and hydrological model calibration. The recent boost in …
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 …
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 …
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 …
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
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 …
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
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 …
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
Land use/cover (LU/LC) classification provides proxies of the natural and social processes
related to urban development, providing stakeholders with crucial information. Remotely …
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
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 …
engineering hydrology. This study attacks the prediction in ungauged catchment problem by …
Comparing methods for estimating flow duration curves at ungauged sites
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 …
flow variability. FDCs observed at 379 gauging stations located across New Zealand were …