The Evolving Perceptual Model of Streamflow Generation at the Panola Mountain Research Watershed

2021 ◽  
Author(s):  
Brent T. Aulenbach ◽  
Richard P. Hooper ◽  
H. J. Meerveld ◽  
Douglas A. Burns ◽  
James E. Freer ◽  
...  
Keyword(s):  
Perceptual Model ◽  
Streamflow Generation

Judgments of affect through inferential processes: A test of the inferential-perceptual model

2005 ◽  
Author(s):  
Hong Li ◽  
Ian M. Handley ◽  
Dolores Albarracin ◽  
Rick D. Brown ◽  
Ece C. Kumkale
Keyword(s):  
Perceptual Model

scholarly journals Knowledge Gaps in our Perceptual Model of Great Britain’s Hydrology

2021 ◽  
Author(s):  
Thorsten Wagener ◽  
Simon J. Dadson ◽  
David M. Hannah ◽  
Gemma Coxon ◽  
Keith Beven ◽  
...  
Keyword(s):  
Knowledge Gaps ◽  
Perceptual Model

Chain-dependent Markov correlation pulse model for daily streamflow generation

2001 ◽  
Vol 24 (5) ◽  
pp. 551-564 ◽  
Author(s):  
Zongxue Xu ◽  
Andreas Schumann ◽  
Casten Brass ◽  
Jingyu Li ◽  
Kazumasa Ito
Keyword(s):  
Daily Streamflow ◽  
Streamflow Generation

Log-Normal Streamflow Generation Models Reexamined

1973 ◽  
Vol 99 (9) ◽  
pp. 1421-1431
Author(s):  
Gary P. Codner ◽  
Thomas A. McMahon
Keyword(s):  
Streamflow Generation ◽  
Log Normal

scholarly journals Technical Note: Monitoring streamflow generation processes at Cape Fear

2016 ◽  
Author(s):  
Flavia Tauro ◽  
Andrea Petroselli ◽  
Aldo Fiori ◽  
Nunzio Romano ◽  
Maria Cristina Rulli ◽  
...  
Keyword(s):  
Overland Flow ◽  
Measurement Techniques ◽  
Technical Note ◽  
Hydrological Response ◽  
Runoff Generation ◽  
Natural Systems ◽  
Natural Rainfall ◽  
Streamflow Generation ◽  
Cape Fear ◽  
Hillslope Processes

Abstract. Hillslope processes are fundamental for the comprehension of the hydrological response of natural systems. However, their complexity demands real time and continuous observations. In this paper, we assess the feasibility of studying streamflow generation processes at Cape Fear, a "hybrid" hillslope plot at University of Tuscia, Viterbo, Italy. Cape Fear is a 7 × 7 m2 confined soil-filled wood-sided plot, whose water fluxes can be continuously monitored. The plot design is simple, yet versatile to test hypotheses on the hydrological response of hillslope areas. The suitability of the plot for investigating runoff generation and hillslope processes is presented through a demonstrative experiment in the case of a natural rainfall event. A combination of traditional and innovative measurement techniques confirms that runoff onset is due to saturation overland flow. Future studies will address the influence of diverse land covers and spatial pathways evolution on the response at the hillslope scale.

scholarly journals Implementing Predictive Processing and Active Inference: Preliminary Steps and Results

2019 ◽  
Author(s):  
Beren Millidge
Keyword(s):  
Predictive Coding ◽  
Predictive Processing ◽  
Active Inference ◽  
Inference Models ◽  
Perceptual Model ◽  
Challenging Tasks ◽  
Generalised Coordinates

Initial and preliminary implementations of predictive processing and active inference models are presented. These include the baseline hierarchical predictive coding models of (Friston 2003, 2005), and dynamical predictive coding models using generalised coordinates (Friston 2008, 2010, Buckley 2017). Additionally, we re-implement and experiment with the active inference thermostat presented in (Buckley 2017) and also implement an active inference agent with a hierarchical predictive coding perceptual model on the more challenging cart-pole task from OpanAI gym. We discuss the initial performance, capabilities, and limitations of these models in their preliminary stages and consider how they might be further scaled up to tackle more challenging tasks.

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