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Andy Nichols   Dr.  University Lecturer 
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Andy Nichols published an article in September 2016.
Top co-authors See all
S. Tait

89 shared publications

University of Bradford

S. Shepherd

61 shared publications

University of Bradford

Shahram Taherzadeh

50 shared publications

Janet Richardson

44 shared publications

Faculty of Health, Education and Society, University of Plymouth, Plymouth, UK

K. V. Horoshenkov

21 shared publications

Pennine Water Group, School of Engineering; University of Bradford; Bradford UK

Publication Record
Distribution of Articles published per year 
(2010 - 2016)
Total number of journals
published in
Publications See all
Article 0 Reads 0 Citations Finite difference time domain modelling of sound scattering by the dynamically rough surface of a turbulent open channel... Kirill V. Horoshenkov, Timothy Van Renterghem, Andrew Nichol... Published: 01 September 2016
Applied Acoustics, doi: 10.1016/j.apacoust.2016.03.009
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The problem of scattering of airborne sound by a dynamically rough surface of a turbulent, open channel flow is poorly understood. In this work, a laser-induced fluorescence (LIF) technique is used to capture accurately a representative number of the instantaneous elevations of the dynamically rough surface of 6 turbulent, subcritical flows in a rectangular flume with Reynolds numbers of 10,800⩽Re⩽47,30010,800⩽Re⩽47,300 and Froude numbers of 0.36⩽Fr⩽0.690.36⩽Fr⩽0.69. The surface elevation data were then used in a finite difference time domain (FDTD) model to predict the directivity pattern of the airborne sound pressure scattered by the dynamically rough flow surface. The predictions obtained with the FDTD model were compared against the sound pressure data measured in the flume and against that obtained with the Kirchhoff approximation. It is shown that the FDTD model agrees with the measured data within 22.3%. The agreement between the FDTD model and stationary phase approximation based on Kirchhoff integral is within 3%. The novelty of this work is in the direct use of the LIF data and FDTD model to predict the directivity pattern of the airborne sound pressure scattered by the flow surface. This work is aimed to inform the design of acoustic instrumentation for non-invasive measurements of hydraulic processes in rivers and in partially filled pipes.
Article 0 Reads 3 Citations A model of the free surface dynamics of shallow turbulent flows Andrew Nichols, Simon J. Tait, Kirill V. Horoshenkov, Simon ... Published: 16 May 2016
Journal of Hydraulic Research, doi: 10.1080/00221686.2016.1176607
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Article 3 Reads 1 Citation Achieving cost and carbon savings in neonatal practice: A review of the literature on sustainable waste management Andy Nichols, Jane Grose, Rumbidzai Mukonoweshuro Published: 01 April 2016
Journal of Neonatal Nursing, doi: 10.1016/j.jnn.2016.01.002
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Sustainable waste management in neonatal and high dependency care areas has not been given sufficient priority or consideration according to literature. As a consequence research is lacking in identifying waste that may be recyclable or reduced, generating income that could be reinvested in patient care. The key aim of this paper is to explore and report on the systematic review of the literature, which discloses waste management practice within neonatal and high dependency care areas, which may identify waste with subsequent environmental impacts. Exclusion criteria, inclusion criteria and search by terms methodologies were used to carry the systematic review essential for the study. The research findings suggest that there is little published material on waste management within neonatology or other high dependency and resource dependent clinical areas. This lack of published material could be seen as an indication that this is a relatively unexplored area of clinical practice that provides an opportunity for further empirical research and development of interventions within highly resource dependent areas such as neonatal intensive care that are intended to reduce waste costs and carbon emissions whilst promoting a sustainable reduce, re-use, recycle philosophy within healthcare waste management.
BOOK-CHAPTER 0 Reads 0 Citations Potential Application of Mesh-Free SPH Method in Turbulent River Flows Ehsan Kazemi, Simon Tait, Songdong Shao, Andrew Nichols Published: 01 January 2016
GeoPlanet: Earth and Planetary Sciences, doi: 10.1007/978-3-319-27750-9_2
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Article 1 Read 4 Citations A non-invasive acoustical method to measure the mean roughness height of the free surface of a turbulent shallow water f... A. Krynkin, K. V. Horoshenkov, Andrew Nichols, S. J. Tait Published: 01 November 2014
Review of Scientific Instruments, doi: 10.1063/1.4901932
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In this paper, the directivity of the airborne sound field scattered by a dynamically rough free flow surface in a flume is used to determine the mean roughness height for six hydraulic conditions in which the uniform depth of the turbulent flow. The nonlinear curve fitting method is used to minimize the error between the predicted directivity and directivity data. The data fitting algorithm is based on the averaged solution for the scattered sound pressure as a function of angle which is derived through the Kirchhoff integral and its approximations. This solution takes into account the directivity of the acoustic source. For the adopted source and receiver geometry and acoustic frequency it is shown that the contribution from the stationary phase point (single specular point on the rough surface) yields similar results to those which can be obtained through the full Kirchhoff's integral. The accuracy in the inverted mean roughness height is comparable to that achieved with an array of conductive wave probes. This method enables non-invasive estimation of the flow Reynolds number and uniform flow depth.
Article 1 Read 0 Citations Physical space and its impact on waste management in the neonatal care setting A. Nichols, Sean Manzi Published: 01 July 2014
Journal of Infection Prevention, doi: 10.1177/1757177414531632
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This paper reports an investigation intended to obtain some understanding of how the working environment might influence the practice and knowledge of those involved in the management of healthcare waste. The National Health Service (NHS) has a continuing waste problem, and the way it manages waste harms the environment and consumes resources. It has been estimated that the carbon footprint of the NHS in England is approximately 20 million tons of CO2e. It has been suggested that better waste segregation could lead to more effective recycling, saving up to 42,000 tonnes of CO2. This qualitative study employed non-participant observation and semi-structured interviews. The interviews were carried out with the key informants within the participating neonatal intensive care unit. Findings from this study indicate that space and the physical arrangement of the environment are significant and influential factors in clinical practice. Where the clinical environment is not supportive, poor infection control and waste management practice is likely to occur. However, proximity of staff caused by a lack of physical space might facilitate situated learning and a collective development of knowledge in practice. The implementation of sustainable waste management practices would be more likely to succeed in an environment that facilitates correct waste segregation.