Picture of fish in sea

Open Access research that uses mathematical models to solve ecological problems...

Solving a variety of ecological and biological problems is the focus of marine population modelling research conducted within the Department of Mathematics & Statistics. Here research deploys mathematical models to better understanding issues relating to fish stock management, ecosystem dynamics, ocean currents, and the effects of multispecies interactions within diverse marine ecosystems.

Research work in marine population modelling interfaces with a number of other key research specialisms, including mathematical biology, epidemiology and statistical informatics, where investigations are improving human understanding of the behaviour of infectious diseases, particularly in relation to animal infections; but also the modelling of complex biological processes such as antibiotic prodcution in actinobacteria.

Explore some of the Open Access research from Mathematics & Statistics. Or explore all of Strathclyde's Open Access research...

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Number of items: 3.

2020

Truslove, Jonathan Peter and Coulson, Andrea B and Mblame, Emma and Kalin, Robert (2020) Barriers to handpump serviceability in Malawi : life-cycle costing for sustainable service delivery. Environmental Science: Water Research and Technology. ISSN 2053-1419

2019

Mercer, E. and Davey, C. J. and Campo, P. and Fowler, D. and Williams, L. and Kolios, A. and Parker, A. and Tyrrel, S. and Walton, C. and Cartmell, E. and Pidou, M. and McAdam, E. J. (2019) Quantification of liquid phase faecal odourants to evaluate membrane technology for wastewater reuse from decentralised sanitation facilities. Environmental Science: Water Research and Technology, 5 (1). pp. 161-171. ISSN 2053-1419

2016

Mercer, E. and Cruddas, P. and Williams, L. and Kolios, A. and Parker, A. and Tyrrel, S. and Cartmell, E. and Pidou, M. and McAdam, E. J. (2016) Selection of screw characteristics and operational boundary conditions to facilitate post-flush urine and faeces separation within single household sanitation systems. Environmental Science: Water Research and Technology, 2 (6). pp. 953-964. ISSN 2053-1419

This list was generated on Sat Jul 11 14:15:18 2020 BST.