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Published in 2017 at "Environmental Monitoring and Assessment"
DOI: 10.1007/s10661-017-5862-1
Abstract: This study assesses variability, trends, and teleconnections of stream flow with large-scale climate signals (global sea surface temperatures (SSTs)) for the Omo-Ghibe River Basin of Ethiopia. Fourteen hydrological indices of variability and extremes were defined…
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Keywords:
stream flow;
variability;
omo ghibe;
basin ... See more keywords
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Published in 2018 at "Water Resources Management"
DOI: 10.1007/s11269-018-2033-2
Abstract: Forecasting stream flow is a very importance issue in water resources planning and management. The ability of three soft computing methods, least square support vector machine (LSSVM), fuzzy genetic algorithm (FGA) and M5 model tree…
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Keywords:
stream flow;
nearby station;
stream;
stream flows ... See more keywords
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Published in 2019 at "Water Resources Management"
DOI: 10.1007/s11269-019-02432-3
Abstract: Robust assessments of stream-flow volume and variability under current and potential future conditions are essential for sustainable water resources planning and management. Non-linear and overlapping responses to climate, land use, and water resources management (WRM)…
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Keywords:
stream flow;
variability;
management;
flow variability ... See more keywords
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Published in 2021 at "Journal of Hydro-environment Research"
DOI: 10.1016/j.jher.2021.06.004
Abstract: Abstract Quantifying flow pathways within a larger catchment can help improve diffuse pollution management strategies across subcatchments. But, spatial quantification of flow pathway contributions to catchment stream flow is very limited, since it is challenging…
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Keywords:
groundwater;
stream flow;
flow;
model ... See more keywords
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Published in 2018 at "Physics of Fluids"
DOI: 10.1063/1.5058098
Abstract: Various methodologies used to derive free-stream conditions in hypersonic wind tunnels using different sets of experimental inputs are reviewed. The accuracy of a relevant but seldom used approach, involving free-stream static pressure measurements, is improved…
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Keywords:
stream flow;
stream;
free stream;
hypersonic wind ... See more keywords
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Published in 2018 at "ISH Journal of Hydraulic Engineering"
DOI: 10.1080/09715010.2017.1360158
Abstract: Abstract Precise and timely predictions of high and low flow events at any watershed location can provide stakeholders the information required to make strategic, informed decisions. Specifically, soft computing models have become popular in last…
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Keywords:
stream flow;
stream;
forecasting stream;
wavelet ... See more keywords
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Published in 2019 at "ISH Journal of Hydraulic Engineering"
DOI: 10.1080/09715010.2019.1676171
Abstract: ABSTRACTIn the present study, Artificial Neural Networks (ANNs) and Genetic Programming (GP) soft-computing models were established to estimate streamflow in Tel River Basin, Odisha, India. In most...
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Keywords:
flow estimation;
stream flow;
estimation incorporating;
improving stream ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2941799
Abstract: Recent advances in stream-flow prediction using Recurrent Neural Networks (RNN) or Long Short-Term Memory (LSTM) have prompted their exploration in the field of hydrology. Predicting hydrological time series is of great importance, but is very…
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Keywords:
temporal attention;
dynamic spatio;
stream flow;
spatio temporal ... See more keywords
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Published in 2019 at "Water science and engineering"
DOI: 10.11648/j.ajwse.20180404.14
Abstract: The Kimwarer River basin covers 138.2 km2. It has experienced ecosystem degradation due to extensive farming that has impacted on water yield. This study was undertaken to assess the impacts of land use changes on…
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Keywords:
stream flow;
flow;
land use;
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Published in 2020 at "Journal of Ecological Engineering"
DOI: 10.12911/22998993/116350
Abstract: The benefit from integrating the information from multi-source was confirmed in the research of hydrologic processes in river basins. However, the use of satellite-based rainfall products in hydrologic stream flow modeling has been limited because…
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Keywords:
stream flow;
river;
river basin;
flow modelling ... See more keywords