Results 151 to 160 of about 83,237 (330)
Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning [PDF]
arXivAccurate short-term streamflow and flood forecasting are critical for mitigating river flood impacts, especially given the increasing climate variability. Machine learning-based streamflow forecasting relies on large streamflow datasets derived from rating curves.
arxiv
Journal of Biogeography, Volume 52, Issue 6, June 2025.ABSTRACT Aim We aim to review present uncertainties in projecting fine‐scale future precipitation in an area of high model disagreement, which is also data poor, topographically complex, and experiences climate‐driven threats to endemic biodiversity. Location Hawaiian Islands. Time Period We primarily focused on downscaling studies from the past decade
Erica M. Gallerani +3 more
wiley +1 more source
Water accounting in the Oroua River Catchment : a thesis submitted in partial fulfilment of the requirements for the degree of Master in Applied Science in Agricultural Engineering at Massey University [PDF]
, 1999 Irregular pagination - pg 52 missing.With growing population and limited water resources, there is an increasing need worldwide for better management of water resources.
Recile, Santiago T
core
Effect of reforestation on streamflow in central New York [PDF]
, 1961 W. Schneider, Gordon Roundy Ayer
openalex +1 more source
Influence of glaciers on streamflow
, 1978 The map shows the location of glaciers and ice caps and also indicates the rivers and the lakes, which are fed by a glacier (or an ice cap) meltwater. The purpose of this plate is to identify those streams which are fed by glacier meltwaters. Because of the scale of the map, many minor glaciers have not been shown and, hence, streams fed by such ...
openaire +1 more source
Journal of Flood Risk Management, Volume 18, Issue 2, June 2025.ABSTRACT This study investigates the impacts of climate change and land‐use changes on peak discharge and runoff behavior in the western watersheds of Lake Urmia, Iran. Employing machine learning algorithms (e.g., SVM), stochastic models (e.g., CA‐MARKOV), ERA5 reanalysis climate data, and the large‐scale hydrological VIC model, we assessed these ...
Ghasem Farahmand +2 more
wiley +1 more source
A Proposed Method to Estimate Climate Change Impacts on Dam's Spillway Design Flood
Journal of Flood Risk Management, Volume 18, Issue 2, June 2025.ABSTRACT Overtopping of a dam, which can be due to inadequate spillway design, is often a precursor to dam failure. Generally, dam spillways are designed using historical hydro‐meteorological records. However, the hydrological regime of rivers and floods' intensity may change in the future due to climate change.
Mohammad Reza Khazaei
wiley +1 more source
Investigating the impact of remotely sensed precipitation and hydrologic model uncertainties on the ensemble streamflow forecasting [PDF]
, 2006 In the past few years sequential data assimilation (SDA) methods have emerged as the best possible method at hand to properly treat all sources of error in hydrological modeling.
Hong, Y +3 more
core +2 more sources
EVALUATION OF WEATHER MODIFICATION AS EXPRESSED IN STREAMFLOW RESPONSE [PDF]
, 1967 V. M. Yevdjevich
openalex +1 more source