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Bradley Tom, Minxue He and Prabhjot Sandhu
Hydrodynamic models are widely used in simulating water dynamics in riverine and estuarine systems. A reasonably realistic representation of the geometry (e.g., channel length, junctions, cross-sections, etc.) of the study area is imperative for any succ...
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Siyu Qi, Minxue He, Raymond Hoang, Yu Zhou, Peyman Namadi, Bradley Tom, Prabhjot Sandhu, Zhaojun Bai, Francis Chung, Zhi Ding, Jamie Anderson, Dong Min Roh and Vincent Huynh
Salinity management in estuarine systems is crucial for developing effective water-management strategies to maintain compliance and understand the impact of salt intrusion on water quality and availability. Understanding the temporal and spatial variatio...
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Minxue He
This work aims to assess potential changes in the mean and extreme precipitation and temperature across the Sacramento?San Joaquin Delta (Delta) in California in the 21st century. The study employs operative climate model projections from the Coupled Mod...
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Jason Corburn, Yael Nidam and Amanda Fukutome-Lopez
Urban gun violence is a critical human health and social justice issue. Strategies to reduce urban gun violence are increasingly being taken out of the domain of police and into community-based programs. One such community-driven gun violence reduction p...
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Wafa Chouaib, Younes Alila and Peter V. Caldwell
This study seeks to advance the knowledge about the effect of a priori parameters on calibration using the Sacramento Soil Moisture accounting Model (SAC-SMA). We investigated the catchment characteristics where calibration is most affected by the limita...
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Haksu Lee, Haojing Shen and Dong-Jun Seo
When there exist catchment-wide biases in the distributed hydrologic model states, state updating based on streamflow assimilation at the catchment outlet tends to over- and under-adjust model states close to and away from the outlet, respectively. This ...
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Gang Zhang, Tuo Xie, Lei Zhang, Xia Hua and Fuchao Liu
The Sacramento model is widely utilized in hydrological forecast, of which the accuracy and performance are primarily determined by the model parameters, indicating the key role of parameter estimation. This paper presents a multi-step parameter estimati...
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Michelle Stern, Lorraine Flint, Justin Minear, Alan Flint and Scott Wright
A daily watershed model of the Sacramento River Basin of northern California was developed to simulate streamflow and suspended sediment transport to the San Francisco Bay-Delta. To compensate for sparse data, a unique combination of model inputs was dev...
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Jaewon Kwak, Soojun Kim, Gilho Kim, Vijay P. Singh, Jungsool Park, Hung Soo Kim
Pág. 1 - 16
Long-term streamflow data are vital for analysis of hydrological droughts. Using an artificial neural network (ANN) model and nine tree-ring indices, this study reconstructed the annual streamflow of the Sacramento River for the period from 1560 to 1871....
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E. Onieva, P. Lopez-Garcia, A.D. Masegosa, E. Osaba, A. Perallos
Pág. 4458 - 4467
Accurate estimation of the future state of the traffic is an attracting area for researchers in the field of Intelligent Transportation Systems (ITS). This kind of predictions can lead to traffic managers and drivers to act in consequence, reducing the e...
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