Newcastle University

Bhattacharya-Mis, N. & Lamond, J. (2014) Socio-economics complexities of flood memory in building resilience: An overview of research. In: R Haigh, D Amaratunga, Kausal Keraminiyage, & T Menaha (eds.). 4th International Conference on Building Resilience. 2014 Media City, Salford, UK: Procedia Economics and Finance.

Bhattacharya-Mis, N. & Lamond, J. (2014) An investigation of patterns of response and recovery among flood affected businesses in the UK. In: C.A. Proverbs, D., Brebbia (ed.). Flood Recovery, Innovation and Response IV. 2014 Poznan, Poland: WIT Transactions on Ecology and the Environment,184. pp. 163–173.

Bhattacharya-Mis, N., Joseph, R., Proverbs, D., Lamond, J. (In press) Grass-root preparedness against potential flood risk among residential and commercial property holders. The “State of DRR at the Local Level” A 2015 Report on the Patterns of Disaster Risk Reduction Actions at Local Level at the UN World Conference on Disaster Risk Reduction (Japan, 2015).

Bhattacharya-Mis,N & Lamond ,J. (2014) Towards an integrated framework for building resilience using flood memory in built environment. Urban sustainability and Resilience Conference, UCL, London

Dissanayake, P., Brown, J. and Karunarathna, H., (2014) Modelling storm induced beach/dune evolution: Sefton Coast, Liverpool Bay, UK, Marine Geology , Vol 357, pp225-242.

Dissanayake, P.K. and Karunarathna, H. (2014) Modelling dune erosion of the Sefton Coast, Liverpool Bay, UK, ICCE2014, Seoul, Korea.

Dissanayake, P.K. and Karunarathna, H. (2014) Modelling dune erosion of the Sefton Coast, Liverpool Bay, UK, ICCE2014, Seoul, Korea.

Hou, J., Liang, Q., Zhang, H. & Hinkelmann, R. (2014), `Multislope MUSCL method applied to solve shallow water equations´, Computer and Mathematics with Applications, DOI:10.1016/j.camwa.2014.09.018

Janes, V., Holman, I., O’Donnell, G.,  Birkinshaw, S.,  Kilsby, C. (2014) Modelling the influence of flood event clustering on catchment scale bank erosion, British Hydrological Society National Symposium, Birmingham University, Birmingham 2^nd-4^th September

Lamond, J., (In press) Water management and healthy urban development, in: Barton, H., Thompson, S., Grant, M., Burgess, S. (Eds.), Planning for health and well-being: Shaping a sustainable and healthy future. Routledge.

Lamond, J. (2014) The role of flood memory in the impact of repeat flooding on mental health. In: C. Wrachien Proverbs, D., Brebbia (eds.). Flood Recovery, Innovation and Response IV. 2014 Poznan, Poland: WIT Transactions on Ecology and the Environment,184. pp. 187–199.

O’Donnell, G and O’Connell P.E. (2014) Decision-making on the level of flood protection under high climatic uncertainty. Dooge Nash International Symposium, Dublin. p1-6.

O’Connell, E., O’Donnell, G., and Ewen, J. (2014) From Systems Hydrology to Complex Coupled Human and Natural Systems: Modelling the Human Dimension of Flood Risk Management. Dooge Nash International Symposium, Dublin p261-70

O'Connell, P. E. and O'Donnell, G. (2014) Towards modelling flood protection investment as a coupled human and natural system, Hydrol. Earth Syst. Sci., 18, 155-171, doi:10.5194/hess-18-155-2014, 2014.

Patidar, S., Pender, D., Haynes, H. & Pender, G. (submitted) Statistical modelling approach for integrating probabilistic climate projections with the river flow data. IAHR Congress, Netherlands 2015.

Rabassa, P. and Beck, C. (2014) Superstatistical analysis of sea-level fluctuations, Physica A: Statistical Mechanics and its Applications, Available online 8 September , ISSN 0378-4371, http://dx.doi.org/10.1016/j.physa.2014.08.068

Rabassa, P. and Beck, C. (2014) Extreme Value Laws for Superstatistics, http://arxiv.org/abs/1409.2415

Pender, D. Callaghan, D. and Karunarathna, H., (2014) An evaluation of methods available for quantifying extreme beach erosion, Journal of Ocean Engineering and Marine Energy (in press)

Pender, D., Patidar, S., Pender, G. & Haynes, H. (submitted) Incorporating sediment-related uncertainty into 1D modelling of fluvial flood risk. Journal of Hydraulic Research.

 

Pender, D., Patidar, S., Pender, G. & Haynes, H. (submitted) Stochastic simulation of daily streamflow sequences for UK rivers using a hidden Markov modelling approach. Hydrology Research.

 

Pender, D., Patidar, S., Pender, G. & Haynes, H. (submitted) Incorporating river bed level changes into flood risk modelling. IAHR Congress, Netherlands 2015.

 

Pender, D., Shvidchenko, A., Haynes, H. & Pender, G. (2014) The influence of flood sequencing on the morphology and bed composition of the American River, California, USA. IAHR River Flow, Lausanne, Switzerland 2014.

Quinn, N., Lewis, M., Wadey, M.P. and Haigh, I.D. (2014) Assessing the temporal variability in extreme storm-tide time series for coastal flood risk assessment. Journal of Geophysical Research: Oceans, Early View (doi:10.1002/2014JC010197).

Serinaldi F. (2013) On the relationship between the index of dispersion and Allan factor and their power for testing the Poisson assumption. Stochastic Environmental Research and Risk Assessment, 27(7), 1773-1782.

Serinaldi F, Kilsby CG (2013) On the sampling distribution of Allan factor estimator for a homogeneous Poisson process and its use to test inhomogeneities at multiple scales. Physica A: Statistical Mechanics and its Applications, 392(5), 1080-1089.

Wadey, M.P., Haigh, I.D. and Brown, J.M. (2014) A century of sea level data and the UK's 2013/14 storm surges: an assessment of extremes and clustering using the Newlyn tide gauge record. Ocean Science Discussions, 11, (4), 1995-2028. (doi:10.5194/osd-11-1995-2014).