Food, Water, Waste Research Group

Publications

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AL-QADAMI, EBRAHIM HAMID HUSSEIN, MUSTAFFA, ZAHIRANIZA, AL-ATROUSH, MOHAMED EZZAT, MARTINEZ-GOMARIZ, EDUARDO, TEO, FANG YENN and EL-HUSSEINI, YASSER, 2022. A numerical approach to understand the responses of passenger vehicles moving through floodwaters JOURNAL OF FLOOD RISK MANAGEMENT.

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TAN, WOON YANG, LAI, SAI HIN, TEO, FANG YENN and EL-SHAFIE, AHMED, 2022. State-of-the-Art Development of Two-Waves Artificial Intelligence Modeling Techniques for River Streamflow Forecasting ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING.

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BAZRAFSHAN, OMMOLBANIN, EHTERAM, MOHAMMAD, LATIF, SARMAD DASHTI, HUANG, YUK FENG, TEO, FANG YENN, AHMED, ALI NAJAH and EL-SHAFIE, AHMED, 2022. Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models AIN SHAMS ENGINEERING JOURNAL. 13(5),

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HARI PRAHLAD PUVANASVARAN, XUE PIN LIM, SENTHIL KUMAR ARUMUGASAMY, ANURITA SELVARAJOO and FANG YENN TEO, 2022. Prediction of floodwater impacts on vehicle blockages at bridges using artificial neural network E3S Web of Conferences. 347(1), 04005

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HARI PRAHLAD PUVANASVARAN, XUE PIN LIM, SENTHIL KUMAR ARUMUGASAMY, ANURITA SELVARAJOO and FANG YENN TEO, 2022. Prediction of floodwater impacts on vehicle blockages at bridges using artificial neural network In: 2nd International Conference on Civil and Environmental Engineering (ICCEE2022).

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TAN, WOON YANG, LAI, SAI HIN, TEO, FANG YENN, ARMAGHANI, DANIAL JAHED, PAVITRA, KUMAR and EL-SHAFIE, AHMED, 2022. Three Steps towards Better Forecasting for Streamflow Deep Learning APPLIED SCIENCES-BASEL. 12(24),

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SAMARASINGHE, JAYANGA T., MAKUMBURA, RANDIKA K., WICKRAMARACHCHI, CHARUNI, SIRISENA, JEEWANTHI, GUNATHILAKE, MIYURU B., MUTTIL, NITIN, TEO, FANG YENN and RATHNAYAKE, UPAKA, 2022. The Assessment of Climate Change Impacts and Land-use Changes on Flood Characteristics: The Case Study of the Kelani River Basin, Sri Lanka HYDROLOGY. 9(10),

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LIM, CHOW HOCK, WONG, HUI LING, ELFITHRI, RAHMAH and TEO, FANG YENN, 2022. A Review of Stakeholder Engagement in Integrated River Basin Management WATER. 14(19),

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ROBINSON, B. L., JEWITT, S., CLIFFORD, M. J. and HEWITT, J., 2021. Understanding the current market enablers for Nepal’s biomass cookstove industry: Development in Practice Development in Practice.

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ROBINSON, B. L., CLIFFORD, M. J. and JEWITT, S., 2021. Time to change: An evaluation of practical action nepal’s results based finance program: Energies Energies. 14(10),

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BUGAJE, B., RUTHERFORD, P. and CLIFFORD, M., 2021. A systems dynamics approach to the bottom-up simulation of residential appliance load: Energy and Buildings Energy and Buildings. 247,

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BUGAJE, B., RUTHERFORD, P. and CLIFFORD, M., 2021. A systems dynamics approach to the bottom-up simulation of residential appliance load: Energy and Buildings Energy and Buildings. 247,

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STANISTREET, D., PHILLIP, E., KUMAR, N., ANDERSON DE CUEVAS, R., DAVIS, M., LANGEVIN, J., JUMBE, V., WALSH, A., JEWITT, S. and CLIFFORD, M., 2021. Which biomass stove(s) capable of reducing household air pollution are available to the poorest communities globally? International Journal of Environmental Research and Public Health. 9226

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KUMAR, N., PHILLIP, E., COOPER, H., DAVIS, M., LANGEVIN, J., CLIFFORD, M. and STANISTREET, D., 2021. Do improved biomass cookstove interventions improve indoor air quality and blood pressure? A systematic review and meta-analysis: Environmental Pollution Environmental Pollution. 290,
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Food, Water, Waste Research Group

Faculty of Engineering
The University of Nottingham
Nottingham, NG7 2RD


telephone: +44 (0)115 82 32502
email:FWW@nottingham.ac.uk