Results 171 to 180 of about 83,237 (330)
Comments on ‘Adequacy of Markovian Models with cyclic components for stochastic streamflow simulation’ by Ignacio Rodriguez‐Iturbe, David R. Dawdy, and Luis E. Garcia [PDF]
V. Klemeš
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ABSTRACT There is increasing interest in installing water storage ponds as part of natural flood management (NFM) approaches being implemented globally. Despite decades of experience with constructing flood storage ponds within civil engineering disciplines, there remains little empirical evidence of their effectiveness in NFM.
Leo Peskett+5 more
wiley +1 more source
A Conceptualized Groundwater Flow Model Development for Integration with Surface Hydrology Model
A groundwater system model was developed and calibrated in the study area of Lehman Creek watershed, eastern Nevada. The model development aims for integrating the surface hydrologic model - precipitation runoff modeling system (PRMS) model - with the ...
Ahmad, Sajjad, Chen, Chao, Kalra, Ajay
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An evaluation of water-quality data obtained at four streamflow daily-record stations in Idaho [PDF]
Kenneth L. Dyer
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The lingering effects of a record‐deep mountain snowpack continued to keep streamflows at near record high levels in much of the western United States during July. Elsewhere in the nation, a lack of rainfall and prolonged high temperatures contributed to declining streamflows, and parts of the northeast and southeast reported near record‐low ...
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Abstract Rising CO2 levels substantially impact vegetation characteristics and potentially the water cycle. Using 14 global water models, we assess how elevated CO2 (eCO2) affects streamflow (Q) via vegetation dynamics in the period 1901 to 2020. Our results reveal considerable variability in model simulations, with discrepancies not only in magnitude ...
Haoshan Wei+4 more
wiley +1 more source
A progress report on streamflow investigations in Suffolk County, Long Island, New York, 1948-1952
R.M. Sawyer
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A national study of the streamflow data-collection program [PDF]
Manuel A. Benson, Rolland William Carter
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Ensemble quantile-based deep learning framework for streamflow and flood prediction in Australian catchments [PDF]
In recent years, climate extremes such as floods have created significant environmental and economic hazards for Australia. Deep learning methods have been promising for predicting extreme climate events; however, large flooding events present a critical challenge due to factors such as model calibration and missing data.
arxiv
The map shows the location and the number of years of recorded data for the Water Survey of Canada streamflow gauging stations and the Quebec Department of Natural Resources stations. Almost 9 per cent of all the world's river water which flows to the oceans has its source within Canada's boundaries.
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