CIES Projects & Publications from 2001 Projects Project Identifying Risks to Good Ecological Status Sponsor Environment Agency Environment Agency Date 2009-2010 Total £37,929 2008-2009 £45,000 Extension to Development of an Integrated Classification, Diagnosis and Prediction System relating pressures and ecological monitoring elements based on Pattern Recognition and Plausible Reasoning Environment Agency 2008 £30,000 Water Framework Directive River Basin Planning Project Environment Agency 2008 £15,000 SNIFFER 2006-2007 £39,285 Development of an Integrated Classification System for Rivers and Canals. Environment Agency, R&D Project Environment Agency 2004-2007 £199,247 Scoping Study to Examine the Potential Use of Artificial Intelligence Systems for the Classification and Predictive Modelling of Surface Freshwaters in Ecoregion 17 for the EC Water Framewater Directive. Joint EHS (N Ireland) and EPA (Rep of Ireland) 2003 £27,550 Characterisation of Reference Conditions and Testing of Topology of Rivers EPA (Rep of Ireland) 2003 £10,000 Application of Artificial Intelligence Techniques for the Water Framework Directive Environment Agency 2003 £24,000 An Assessment of the Role of Mathematical Modelling in the Implementation of the Water Framework Directive in Ireland EPA (Rep of Ireland) 2003 £2,500 Analysis of Environmental Stress Data recorded at River Quality Sites in England and Wales during the 2000 Survey Environment Agency 2001-2003 £23,345 Development of a System for the Identification of Source of Oil Spills on Inland Waters Environment Agency 2001-2003 £90,000 Assessment of river nutrient and macroinvertebrate quality correlation in England and Wales using artificial intelligence techniques Environment Agency 2002 £4,830, Further Development of an Integrated Classification, Diagnostic & Prediction System. Revision of BMWP scores Refereed Journal Papers Paisley M.F., Trigg D.J. & Walley W.J. (2010). Revision of the BMWP Score System: Derivation of Present-only and Abundance-related WHPT Scores from Field Data. In preparation. MF Paisley, DJ Trigg & WJ Walley (2010). Revision of the BMWP Score System: Site Type Variations and Scores for New Taxa. In preparation. Paisley M.F. & Walley W.J. (2009). Identification of Macro-Invertebrate Taxa as Indicators of Nutrient Enrichment in Rivers. Submitted to Ecological Informatics. Dodkins I., Harrington T.J., Rippey B., Bradley C., Ni Chathian B., Kelly-Quinn M., McCarrigle M. and Trigg D.J. (2005). Developing an optimal river typology for biological elements within the Water Framework Directive, Water Research 39. pp. 3479-3486. Elsevier. O’Connor M.A. & Walley W.J. (2002). River Pollution Diagnostic System (RPDS) – Computer-based Analysis and Visualisation for Bio-Monitoring Data. Water Science and Technology 46, no 6, pp17-23. Walley, W. J. & O’Connor, M. A. (2001). Unsupervised pattern recognition for the interpretation of ecological data. Ecological Modelling 146, pp219-230. Walley, W.J., Grbovic J., & Dzeroski S. (2001). A reappraisal of saprobic values and indicator weights based on Slovenian river quality data. Water Research 35, no. 18, pp4285-4292. Technical Reports Trigg D.J. & Paisley M.F. (2010). Identifying Risks to Good Ecological Status. Environment Agency Technical Report. In preparation. Paisley M.F., Trigg D.J., Martin R., Walley W.J., Andriaenssens V., Buxton R. and O’Connor M. (2008) Refinement of AI-Based Systems for Diagnosing and Predicting River Health. Technical Report EMC/WP06 077. Environment Agency, Bristol. Paisley, M.F., D.J. Trigg & W.J. Walley (2007) Revision and Testing of BMWP scores. Final report SNIFFER Project WFD72a. Edinburgh, SNIFFER. Available from http://www.sniffer.org.uk/search.asp by searching under ‘WFD72A’. Kelly-Quinn M., Bradley C., Dodkins I., Harrington T.J., Ni Chathian B., O'Connor M.A., Rippey B. and Trigg D.J. (2005) Water Framework Directive Characterisation of Reference conditions and Testing of Typology of Rivers. Environmental Protection Agency Project 2002-W-LS-7 Final Report. ISBN 1 84095 162 1. O’Connor M.A., Paisley M.F., Trigg D.J. and Walley W.J. (2005). Further Development and Testing of Artificial Intelligence Systems for the Classification and Diagnosis of River Quality Based on Biological and Environmental Data. Science Report E1-056/S2, Environment Agency. ISBN 1 84432 368 4. Martin RW, O’Connor MA and Walley WJ (2005). The Collection and Analysis of Environmental Stresses Influencing Biological General Quality Assessment in 2000. Science Report E1-114/TR, Environment Agency. ISBN 1 84432 340 4. Buxton R & O’Connor MA (2003). Use of Pattern Recognition to Identify the Source of an Oil Spill on an Inland Water, R&D Technical Report (E1-109/TR). Walley WJ, Trigg DJ, Martin RW, Nikhade J, O’Connor MA and Paisley MF (2002). Assessment of River Phosphorus and Nitrogen from Macroinvertebrate Data using Artificial Intelligence Techniques. Technical Report to the Environment Agency. Walley W.J., O'Connor M.A., Trigg D.J. and Martin R.W. (2002). Diagnosing and Predicting River Health from Biological Survey Data using Pattern Recognition and Plausible Reasoning. Environment Agency Technical Report E1-056/TR2, Water Research Centre. ISBN 1 85705 816 X Martin R.W. and Walley W.J. (2001). Distribution of Perceived Stresses in English and Welsh Rivers based on the 1995 Survey: the quality of a preliminary data set. Environment Agency Technical Report E126. Conference Papers Paisley M.F., Trigg DJ & Walley W.J. (2007). Application of Artificial Intelligence Methods to Natural Resource Management. Presented at International Symposium for Environmental Software Systems at IST-Africa (Information Society Technologies – Africa) Conference, Maputo, Mozambique, 7-9 May. Paisley MF & Trigg DJ. (2005). The Application of Artificial Intelligence to the Diagnosis, Prediction and Classification of River Health from Biological and Environmental Data. Invited Talk, UK/Ireland Workshop on Ecological Classification Systems, Belfast, January. Paisley M.F., Walley W.J., Nikhade J. & Dils R. (2003). Identification of the Key Biological Iindicators of Nutrient Enrichment in Rivers for use in Predictive/Diagnostic Models. Proc 7th IWA Conf on Diffuse Pollution and Basin Management, Dublin. O'Connor, M. A. & Walley W. J. (2002). "A framework for computer-based data analysis and visualisation by pattern recognition". 3rd Conference of the International Society for Ecological Informatics, Rome, 2002. Trigg, D. J. & Walley, W. J. (2002). "RPBBN: A Bayesian Belief Network for Diagnosis and Prognosis of River Health". 3rd Conference of the International Society for Ecological Informatics, Rome, 2002. Buxton R & O’Connor MA (2002). A Comparison of three Prototype Expert Systems, two using Information Theoretic techniques, the other using Bayesian techniques, in the domain of Petrochemical Pollution Classification in Fresh Water Courses. Accepted for presentation but not given. O’Connor, M. A. & Walley, W. J. (2001) River Pollution Diagnostic System (RPDS) – Computer-based Analysis and Visualisation for Bio-Monitoring Data. In: Conf. Proc. Of the International Water Association 2nd World Water Congress, Berlin. O’Connor, M. A. & Walley, W. J. (2001) A River Pollution Diagnostic System (RPDS) for England and Wales. Int. Symp. On Environmental Software Systems, Banff, Canada, May 2001. Martin R.W. and Walley W.J. (2001) A River Biology Monitoring System (RBMS) for English and Welsh Rivers. In Environmental Software Systems / Environmental Informatics, Vol 4. ISBN 3-901882-14-6. PhD Theses Trigg D.J. (2004). The Development of an Expert System using Plausible Reasoning for the Diagnosis and Prognosis of River Quality. PhD. Thesis, Staffordshire University O’Connor MA (2004). The Development of a Pattern Recognition and Data Visualisation System for the Diagnosis of River Health from Biological and Environmental Data. PhD. Thesis, Staffordshire University Other Data Tasks We have over 10 years’ experience of projects requiring large national river survey datasets (EA, SEPA, NIEA, EPA (Ireland)). Frequently used by the EA and others (eg Catchment Science Centre, University of Sheffield) to extract and manipulate data for use in other projects – see references below. Typical tasks: Management, handling and manipulation of large datasets Collating data from a variety of sources Validation of biological, chemical and environmental parameters Validation of sampling site coordinates via GIS Spatial matching of biological and chemical sampling sites Database construction and design Comber S, and Georges K. (2007) Tiered approach to the assessment of metal compliance in surface waters: Extension report: Nickel. Science Report SC050054/SR1. Environment Agency, Bristol. De Zwart D., Pemberton E., Posthuma L., Veal A., Wells C.. (2008). Understanding ecological impacts in rivers in England and Wales and identifying their possible causes: part 1, the effect and probable cause (EPC) method. Environment Agency Science Report - SC030189/SR5. Holzkämper A., Surridge B., Paetzold A., Kumar V., Lerner D.N., Maltby L., Wainwright J., Anderson C.W. and Harris R. (2008). A consistent framework for knowledge integration to support integrated catchment management. Proceedings of the 4th International Congress on Environmental Modelling and Software 7-10 July 2008. Kapo K.E., Burton G.A., Pemberton E.. (2008). Understanding ecological impacts in rivers in England and Wales and identifying their possible causes: part 2, the GIS based weights of evidence/weighted logistic regression method. Environment Agency Science Report - SC030189/SR6. Kumar V., Holzkämper A., Surridge B., Rockett P.I., Niranjan M., Lerner D.N. (2008). Bayesian challenges in integrated catchment modelling. Proceedings of the 4th International Congress on Environmental Modelling and Software 7-10 July 2008.