Results 141 to 150 of about 83,237 (330)
Abstract This study introduces a machine learning approach to address the critical challenge of limited real‐time flow data in river basins, particularly for calibrating large‐scale hydrologic models. These models often rely on uncertain parameter transfers from gauged to ungauged regions, hindering accurate predictions.
A. A. Ramírez Molina+3 more
wiley +1 more source
Study region: The source region of the Yellow River (SRYE) is located in the eastern part of the Tibetan Plateau is a major water production and water conservation area for the Yellow River.
Ruirui Xu+5 more
doaj
Some relations between streamflow characteristics and the environment in the Delaware River region [PDF]
A.G. Hely, F.H. Olmsted
openalex +1 more source
Abstract Facing the escalating threat of global wildfires, numerous computer vision techniques using remote sensing data have been applied in this area. However, the selection of deep learning methods for wildfire prediction remains uncertain due to the lack of comparative analysis in a quantitative and explainable manner, crucial for improving ...
Yihang Zhou+4 more
wiley +1 more source
Bayesian recursive parameter estimation for hydrologic models [PDF]
The uncertainty in a given hydrologic prediction is the compound effect of the parameter, data, and structural uncertainties associated with the underlying model.
Gupta, H+3 more
core +1 more source
USE OF PRECIPITATION RECORDS IN THE CORRELATION OF STREAMFLOW RECORDS [PDF]
Robert O. R. Martin
openalex +1 more source
Migrating sands: Refocusing transboundary flows from water to sediment
Short Abstract Many transboundary river systems focus heavily on flows of water, with less consideration for flows of sediment. Here, it is argued that the two distinct natural cycles of water and sediment necessitate a rebalancing of transboundary cooperation frameworks to place water and sediment on an equal footing.
C. R. Hackney
wiley +1 more source
Uncertainty quantification of satellite precipitation estimation and Monte Carlo assessment of the error propagation into hydrologic response [PDF]
The aim of this paper is to foster the development of an end-to-end uncertainty analysis framework that can quantify satellite-based precipitation estimation error characteristics and to assess the influence of the error propagation into hydrological ...
Hong, Y+3 more
core +1 more source
Streamflow generalization in an area of the central United States [PDF]
I. C. James
openalex +1 more source