Results 131 to 140 of about 92,110 (294)
Streamflow Forecast Model on Nakdong River Basin [PDF]
Byong-Ju Lee, Deg‐Hyo Bae
openalex +1 more source
European S2S streamflow forecasting: Towards a seamless communication
Ilias Pechlivanidis, Louise Crochemore
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Advancing Near‐Real‐Time Flood Inundation Mapping in Australia
Abstract Floods are the second‐most deadly natural hazard in Australia, following heatwaves. Monitoring flood extent and depth in near real‐time (NRT) is crucial to minimize loss of life and socio‐economic impacts. This study leverages advanced computing, data management systems, and high‐quality data, including river gauge data APIs and Australian ...
Jiawei Hou +5 more
wiley +1 more source
Streamflow was in the normal range or above that range in most of the United States and southern Canada during December. Below‐normal flows persisted in parts of Nova Scotia, the Atlantic coast states, Saskatchewan, British Columbia, and Hawaii. Flows decreased into the below‐normal range in parts of southwestern Canada, Washington, Oregon, California,
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Preliminary peak stage and streamflow data at selected streamgaging stations in North Carolina and South Carolina for flooding following Hurricane Matthew, October 2016 [PDF]
J. Curtis Weaver +2 more
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Abstract Wildfires impact terrestrial landscapes and downstream river corridors through shifts in vegetation and soil properties leading to downstream hydrologic and water quality impacts. The magnitude of these impacts depend on a complex and interconnected set of wildfire, landscape, and aquatic processes.
K. A. Wampler +5 more
wiley +1 more source
Heavy precipitation fell over most of the United States and Puerto Rico during October, according to the U.S. Geological Survey. Tropical Storm Isabel devastated Puerto Rico on October 6–7, causing what the Governor of Puerto Rico called the greatest natural disaster ever to befall the island.
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A Diagnostic Framework and Data Inventory to Analyze Human Intervention on Streamflow
Abstract Growing recognition of human impacts on streamflow regimes has driven efforts to integrate water‐management modules into hydrological models to improve simulation accuracy. Yet data constraints often force simplifying assumptions, which may introduce unintended biases and obscure true human influences.
Anav Vora, Ximing Cai
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Studying streamflow processes and controlling factors is crucial for sustainable water resource management. This study demonstrated the potential of integrating hydrological models with machine learning by constructing two machine learning methods ...
Bingbing Ding, Xinxiao Yu, Guodong Jia
doaj +1 more source
Streamflows increased dramatically in the Northeast and were well above average in the upper Mississippi River basin and the western mountain states during February, according to the regular month‐end check on the nation's water resources by the U.S. Geological Survey (USGS).
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