Works matching IS 23065338 AND DT 2022 AND VI 9 AND IP 6
Results: 18
Monthly Rainfall Prediction at Catchment Level with the Facebook Prophet Model Using Observed and CMIP5 Decadal Data.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 111, doi. 10.3390/hydrology9060111
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- Article
Importance of Flood Samples for Estimating Sediment and Nutrient Loads in Mediterranean Rivers.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 110, doi. 10.3390/hydrology9060110
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A Procedure for Estimating Drought Duration and Magnitude at the Uniform Cutoff Level of Streamflow: A Case of the Weekly Flows of Canadian Rivers.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 109, doi. 10.3390/hydrology9060109
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What Is the Contribution of Urban Trees to Mitigate Pluvial Flooding?
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 108, doi. 10.3390/hydrology9060108
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- Article
Is Greenhouse Rainwater Harvesting Enough to Satisfy the Water Demand of Indoor Crops? Application to the Bolivian Altiplano.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 107, doi. 10.3390/hydrology9060107
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Open-Source Code for Radium-Derived Ocean-Groundwater Modeling: Project Open RaDOM.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 106, doi. 10.3390/hydrology9060106
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Predicting Urban Flooding Due to Extreme Precipitation Using a Long Short-Term Memory Neural Network.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 105, doi. 10.3390/hydrology9060105
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Assessing the Microclimate Effects and Irrigation Water Requirements of Mesic, Oasis, and Xeric Landscapes.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 104, doi. 10.3390/hydrology9060104
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Comparison of SWAT and MODIS Evapotranspiration Data for Multiple Timescales.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 103, doi. 10.3390/hydrology9060103
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Contribution of Non-Rainfall Water Input to Surface Soil Moisture in a Tropical Dry Forest.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 102, doi. 10.3390/hydrology9060102
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KNN vs. Bluecat—Machine Learning vs. Classical Statistics.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 101, doi. 10.3390/hydrology9060101
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Incorporating aSPI and eRDI in Drought Indices Calculator (DrinC) Software for Agricultural Drought Characterisation and Monitoring.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 100, doi. 10.3390/hydrology9060100
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Decrease in the Water Level of Lake Prespa (North Macedonia) Studied by Remote Sensing Methodology: Relation with Hydrology and Agriculture.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 99, doi. 10.3390/hydrology9060099
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The Development of Explicit Equations for Estimating Settling Velocity Based on Artificial Neural Networks Procedure.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 98, doi. 10.3390/hydrology9060098
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A Holistic Approach to Study Groundwater-Surface Water Modifications Induced by Strong Earthquakes: The Case of Campiano Catchment (Central Italy).
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 97, doi. 10.3390/hydrology9060097
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Characterizing Hydrological Functioning of Three Large Karst Springs in the Salem Plateau, Missouri, USA.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 96, doi. 10.3390/hydrology9060096
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Origins of Sulfate in Groundwater and Surface Water of the Rio Grande Floodplain, Texas, USA and Chihuahua, Mexico.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 95, doi. 10.3390/hydrology9060095
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Snowpack Aging, Water Isotope Evolution, and Runoff Isotope Signals, Palouse Range, Idaho, USA.
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- Hydrology (2306-5338), 2022, v. 9, n. 6, p. 94, doi. 10.3390/hydrology9060094
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- Article