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BibEntryCargo > Volume: 9 & Note : Auto downloaded ref at: 2020-06-16 or Auto downloaded ref at: 2020-06-23

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A Multialgorithm Approach to Land Surface Modeling of Suspended Sediment in the Colorado Front Range: MULTI-PHYSICS SEDIMENT MODELING (1) · Analysis of Wave Distribution Simulated by WAVEWATCH-III Model in Typhoons Passing Beibu Gulf, China (1) · Assessment on the Effect of Climate Change on Streamflow in the Source Region of the Yangtze River, China (1) · Beach Response to Wave Forcing from Event to Inter-Annual Time Scales at Grand Popo, Benin (Gulf of Guinea) (1) · Coastal upwelling off the southwest coast of India: observations and simulations (1) · Construction of Multi-Year Time-Series Profiles of Suspended Particulate Inorganic Matter Concentrations Using Machine Learning Approach (1) · Dispersion Effects on Tsunami Propagation in South China Sea (1) · Expected Changes of Montenegrin Climate, Impact on the Establishment and Spread of the Asian Tiger Mosquito (Aedes albopictus), and Validation of the Model and Model-Based Field Sampling (1) · Forecasting extreme sea level events and coastal inundation from tides, surge and wave setup (1) · Groundwater Modeling and Sustainability of a Transboundary Hardrock–Alluvium Aquifer in North Oman Mountains (1) · Modelling of chemical migration under the overlapping impact of multiple and diverse pollution sources in the area of the “Zachem” Chemical Plant (Bydgoszcz, northern Poland) (1) · Modelling potential groundwater recharge in the Limpopo River Basin with SWAT-MODFLOW (1) · Numerical modeling of wind waves generated by tropical cyclones using moving grids (1) · Numerical simulation of the tsunamis generated by the Sciara del Fuoco landslides (Stromboli Island, Italy) (1) · Optimal groundwater remediation design of a pump and treat system considering clean-up time (1) · Optimization of multi-model ensemble forecasting of typhoon waves (1) · Simulation of groundwater level using MODFLOW, extreme learning machine and Wavelet-Extreme Learning Machine models (1) · Using the HSPF and SWMM Models in a High Pervious Watershed and Estimating Their Parameter Sensitivity (1)
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