Results 141 to 150 of about 408,687 (413)
Stochastic Modeling and Forecast of Hydrological Contributions in the Colombian Electric System [PDF]
In this paper as show that hydrological contributions in the colombian electrical system during the period between 2004 and 2016 have a periodic dynamic, with fundamental periods that are repeated every three years and that tend to oscillate around a long term average, in this context, such contributions can be characterized by mean reversion ...
arxiv
Ensemble machine learning paradigms in hydrology: A review
Mohammad Zounemat‐Kermani+3 more
semanticscholar +1 more source
Low flow estimation in Scotland [PDF]
This report describes the results of a low flow study of Scotland commissioned by the Scottish Development Department and carried out by the Institute of Hydrology.
Gustard, A.+2 more
core
Recent advance in earth observation big data for hydrology
In the past three decades, breakthroughs in satellites and remote sensing have highly demonstrated their potential to characterize and model the various components of the hydrological cycle.
Lajiao Chen, Lizhe Wang
doaj +1 more source
HESS Opinions : The complementary merits of competing modelling philosophies in hydrology
In hydrology, two somewhat competing philosophies form the basis of most process-based models. At one endpoint of this continuum are detailed, high-resolution descriptions of small-scale processes that are numerically integrated to larger scales (e.g ...
M. Hrachowitz, M. Clark
semanticscholar +1 more source
Co‐combustion of coal and biomass waste in pilot‐scale for energy use
Abstract The use of biomass in co‐combustion systems using fluidized bed technology is considered a viable alternative to reduce the emission of pollutants. The herein study presents an experimental analysis to determine the technical feasibility of using run‐of‐mine (ROM) coal and its waste combined with biomass in a combustor of bubbling fluidized ...
Pedro Rodrigo Silva Moura+6 more
wiley +1 more source
A Data Scientist's Guide to Streamflow Prediction [PDF]
In recent years, the paradigms of data-driven science have become essential components of physical sciences, particularly in geophysical disciplines such as climatology. The field of hydrology is one of these disciplines where machine learning and data-driven models have attracted significant attention.
arxiv
The changing hydrology of a dammed Amazon
We characterized the type and magnitude of hydrological changes brought about by existing dams across the Brazilian Legal Amazon. Developing countries around the world are expanding hydropower to meet growing energy demand.
K. Timpe, D. Kaplan
semanticscholar +1 more source
Agriculture/forestry hydrology [PDF]
There are no author-identified significant results in this ...
Vanderoord, W. J.
core +2 more sources