Outputs (710)

Design of the ORC (organic Rankine cycle) condensation temperature with respect to the expander characteristics for domestic CHP (combined heat and power) applications (2014)
Journal Article
Li, J., Pei, G., Ji, J., Bai, X., Li, P., & Xia, L. (2014). Design of the ORC (organic Rankine cycle) condensation temperature with respect to the expander characteristics for domestic CHP (combined heat and power) applications. Energy, 77, 579-590. https://doi.org/10.1016/j.energy.2014.09.039

Domestic CHP (combined heat and power) generation is one new application of the ORC (organic Rankine cycle). An environment temperature fluctuation of 40°C through the year is common in many areas, where the consumer's demand on heat follows a season... Read More about Design of the ORC (organic Rankine cycle) condensation temperature with respect to the expander characteristics for domestic CHP (combined heat and power) applications.

High-resolution numerical modelling of flow-vegetation interactions (2014)
Journal Article
Marjoribanks, T. I., Hardy, R. J., Lane, S. N., & Parsons, D. R. (2014). High-resolution numerical modelling of flow-vegetation interactions. Journal of Hydraulic Research, 52(6), 775-793. https://doi.org/10.1080/00221686.2014.948502

In this paper, we present and apply a new three-dimensional model for the prediction of canopy-flow and turbulence dynamics in open-channel flow. The approach uses a dynamic immersed boundary technique that is coupled in a sequentially staggered mann... Read More about High-resolution numerical modelling of flow-vegetation interactions.

Exploring the interaction between rivers and sand dunes : implications for fluvial-aeolian geomorphology (2014)
Thesis
Liu, B. (. S. Exploring the interaction between rivers and sand dunes : implications for fluvial-aeolian geomorphology. (Thesis). University of Hull. https://hull-repository.worktribe.com/output/4217352

The interaction between fluvial and aeolian processes can significantly influence landforms. When rivers and sand dunes meet, the interaction of sediment transport between the two systems can lead to change in either one or both systems. However, the... Read More about Exploring the interaction between rivers and sand dunes : implications for fluvial-aeolian geomorphology.

Comment on “A simple model for vertical profiles of velocity and suspended sediment concentration in straight and curved submarine channels” by M. Bolla Pittaluga and J. Imran (2014)
Journal Article
Peakall, J., Darby, S. E., Dorrell, R. M., Parsons, D. R., Sumner, E. J., Wynn, R. B., Imran, J., & Bolla Pittaluga, M. (2014). Comment on “A simple model for vertical profiles of velocity and suspended sediment concentration in straight and curved submarine channels” by M. Bolla Pittaluga and J. Imran. Journal of Geophysical Research: Earth Surface, 119(9), 2070-2073. https://doi.org/10.1002/2014JF003211

This article is a comment on Bolla Pittaluga and Imran [] doi: 10.1002/2013JF002812.

Exploratory modeling: Extracting causality from complexity (2014)
Journal Article
Thomas, C., Coulthard, T., Eppinga, M., Larsen, L., & Thomas, C. W. (2014). Exploratory modeling: Extracting causality from complexity. Eos, 95(32), 285-286. https://doi.org/10.1002/2014eo320001

On 22 May 2011 a massive tornado tore through Joplin, Mo., killing 158 people. With winds blowing faster than 200 miles per hour, the tornado was the most deadly in the United States since modern record keeping began in the 1950s. ©2014. American Geo... Read More about Exploratory modeling: Extracting causality from complexity.

Influence of junction angle on three-dimensional flow structure and bed morphology at confluent meander bends during different hydrological conditions (2014)
Journal Article
Riley, J. D., Rhoads, B. L., Parsons, D. R., & Johnson, K. K. (2015). Influence of junction angle on three-dimensional flow structure and bed morphology at confluent meander bends during different hydrological conditions. Earth surface processes and landforms : the journal of the British Geomorphological Research Group, 40(2), 252-271. https://doi.org/10.1002/esp.3624

© 2014 John Wiley & Sons, Ltd. Recent field and modeling investigations have examined the fluvial dynamics of confluent meander bends where a straight tributary channel enters a meandering river at the apex of a bend with a 90° junction angle. Past... Read More about Influence of junction angle on three-dimensional flow structure and bed morphology at confluent meander bends during different hydrological conditions.

The impact of significant input of fine sediment on benthic fauna at tributary junctions: a case study of the Bermejo-Paraguay River confluence, Argentina (2014)
Journal Article
Blettler, M. C. M., Amsler, M. L., Ezcurra de Drago, I., Espinola, L. A., Eberle, E., Paira, A., Best, J. L., Parsons, D. R., & Drago, E. E. (2015). The impact of significant input of fine sediment on benthic fauna at tributary junctions: a case study of the Bermejo-Paraguay River confluence, Argentina. Ecohydrology, 8(2), 340-352. https://doi.org/10.1002/eco.1511

This study examines the morphological features, suspended sediment inputs and hydraulic conditions within a large river in association with ecological patterns before and after a tributary confluence. In order to examine these effects, the macroinver... Read More about The impact of significant input of fine sediment on benthic fauna at tributary junctions: a case study of the Bermejo-Paraguay River confluence, Argentina.

Groundwater-level forecasting under climate change scenarios using an artificial neural network trained with particle swarm optimization (2014)
Journal Article
Tapoglou, E., Trichakis, I. C., Dokou, Z., Nikolos, I. K., & Karatzas, G. P. (2014). Groundwater-level forecasting under climate change scenarios using an artificial neural network trained with particle swarm optimization. Hydrological Sciences Journal, 59(6), 1225-1239. https://doi.org/10.1080/02626667.2013.838005

Artificial neural networks (ANNs) have recently been used to predict the hydraulic head in well locations. In the present work, the particle swarm optimization (PSO) algorithm was used to train a feed-forward multi-layer ANN for the simulation of hyd... Read More about Groundwater-level forecasting under climate change scenarios using an artificial neural network trained with particle swarm optimization.

Modeling of multilayer cohesive bank erosion with a coupled bank stability and mobile-bed model (2014)
Journal Article
Lai, Y. G., Thomas, R. E., Ozeren, Y., Simon, A., Greimann, B. P., & Wu, K. (2015). Modeling of multilayer cohesive bank erosion with a coupled bank stability and mobile-bed model. Geomorphology, 243, 116-129. https://doi.org/10.1016/j.geomorph.2014.07.017

Streambank erosion can be an important form of channel change in unstable alluvial environments. It should be accounted for in geomorphic studies, river restoration, dam removal, and channel maintenance projects. Recently, one-dimensional and two-dim... Read More about Modeling of multilayer cohesive bank erosion with a coupled bank stability and mobile-bed model.

Physical modelling of water, fauna and flora: Knowledge gaps, avenues for future research and infrastructural needs (2014)
Journal Article
Thomas, R. E., Johnson, M. F., Frostick, L. E., Parsons, D. R., Bouma, T. J., Dijkstra, J. T., Eiff, O., Gobert, S., Henry, P.-Y., Kemp, P., McLelland, S. J., Moulin, F. Y., Myrhaug, D., Neyts, A., Paul, M., Penning, W. E., Puijalon, S., Rice, S. P., Stanica, A., Tagliapietra, D., …Vousdoukas, M. I. (2014). Physical modelling of water, fauna and flora: Knowledge gaps, avenues for future research and infrastructural needs. Journal of Hydraulic Research, 52(3), 311-325. https://doi.org/10.1080/00221686.2013.876453

Physical modelling is a key tool for generating understanding of the complex interactions between aquatic organisms and hydraulics, which is important for management of aquatic environments under environmental change and our ability to exploit ecosys... Read More about Physical modelling of water, fauna and flora: Knowledge gaps, avenues for future research and infrastructural needs.