Ecological risk assessment of pollution in sediment on benthic fauna in coast of Bandar Abbas

Ecological risk assessment is determination of the probability of an adverse effect occurring to an ecological system. This investigation was carried out to assess the ecological risk of sediment in coast of Bandar Abbass in 9 stations including Shilat Jetty, Hotel Amin, Poshte-Shahr, Souro, Bahonar Jetty, Powerhouse, Refinery and Rajaee Jetty from autumn 2013 to summer 2014. Results showed that Polychaete with 1177 , 1109 , 414 , 573 , ind.m2 in autumn 91 , winter 91 , spring 92 and summer 92 were the most abundant in frequency respectively. Among ecological indices, the Margalof that ranged from 4 to 7 was in a good situation while Shanoon and Berger – Parker with 1.2 (at most) and 0.32 (at least) respectively indicated an environment with probable stress. Heavy metal distribution obtained as Cd>Pb>Cu>Zn in sediment. In tissue, the distribution of heavy metals were as Crab>polychaete>Bivalve>gastropod for Pb, Gastropod>Bivalve>Polychaete>Crab for Cd, Gastropod>Crab>Polychaete>Bivalve for Cu and Gastropod>Bivalve>Crab>Polychaete for Zn. Maximum and Minimum of TOM obtained 10.16 and 1.96 percent in Posht-e-Shahr and shilat Jetty respectively and clay was the dominant grain in most area. Bioaccumulation coefficient of Zn and Cu was high in all stations. Igeo as a single index was high for Cd indicating a high risk in all stations. Potential Ecological Risk was high for Cu and Zn and goes increasingly from shilat Jetty to Rajee Jetty but goes down for Pb. Pollution index for Cu and Pb was nearly the same as Potential Ecological Risk but for Zn goes constantly. Among PAH, 5-ring and 6-ring PAhs were more concentrate comparison to other compounds in sediment. 2-ring and 3-ring, 3-ring, 4-ring and 5-ring and 5-ring PAHs were more concentrate in Gastropod, Bivalve, Crab and Polychaete respectively. HI as an index of PAH obtained 1. Ecological Risk Indices showed that the heavy metals are a serious risk for invertebrate in sediment but PAHs are not a risk for benthic community.

The mobile arm support project as a test-bed for design research at the Cambridge EDC

A host of methods and tools to support designing are being developed in Cambridge EDC. These range from tools for design management to those for the generation and selection of design ideas, layouts, materials and production processes. A project, to develop a device to improve arm mobility of muscular dystrophy sufferers, is undertaken as a test-bed to evaluate and improve these methods and tools as well as to observe and modify its design and management processes. This paper presents the difficulties and advantages of using design methods and tools within this rehabilitation design context, with special focus on the evolution of the designs, tools, and management processes.

Towards real-time profiling of sprints using wearable pressure sensors

On-body sensor systems for sport are challenging since the sensors must be lightweight and small to avoid discomfort, and yet robust and highly accurate to withstand and capture the fast movements associated with sport. In this work, we detail our experience of building such an on-body system for track athletes. The paper describes the design, implementation and deployment of an on-body sensor system for sprint training sessions. We autonomously profile sprints to derive quantitative metrics to improve training sessions. Inexpensive Force Sensitive Resistors (FSRs) are used to capture foot events that are subsequently analysed and presented back to the coach. We show how to identify periods of sprinting from the FSR data and how to compute metrics such as ground contact time. We evaluate our system using force plates and show that millisecond-level accuracy is achievable when estimating contact times. © 2012 Elsevier B.V. All rights reserved.

CFD modeling of single-phase flow in a packed bed with MRI validation

Computational fluid dynamics (CFD) simulations are becoming increasingly widespread with the advent of more powerful computers and more sophisticated software. The aim of these developments is to facilitate more accurate reactor design and optimization methods compared to traditional lumped-parameter models. However, in order for CFD to be a trusted method, it must be validated using experimental data acquired at sufficiently high spatial resolution. This article validates an in-house CFD code by comparison with flow-field data obtained using magnetic resonance imaging (MRI) for a packed bed with a particle-to-column diameter ratio of 2. Flows characterized by inlet Reynolds numbers, based on particle diameter, of 27, 55, 111, and 216 are considered. The code used employs preconditioning to directly solve for pressure in low-velocity flow regimes. Excellent agreement was found between the MRI and CFD data with relative error between the experimentally determined and numerically predicted flow-fields being in the range of 3-9%. © 2012 American Institute of Chemical Engineers (AIChE).