Professional summary

Gianni is a researcher in the Hydrological Forecasting group at UKCEH, focused on the development of the Flood Estimation Handbook (FEH): an industry-standard set of methods for estimating rainfall and river flood frequency relationships that is in widespread operational use in the UK.

He has expertise in rainfall-runoff modelling and statistical modelling of rainfall and flood flow rates and volumes, and experience in communicating my results and recommendations to policy-making, academic and technical audiences. Gianni works closely with other organisations to translate scientific advances in the Flood Estimation Handbook into software packages, services and guidance. In addition to his work on the FEH, he has extensive experience on nature-based solutions (NbS) and sustainable drainage systems (SuDS), particularly green roofs, and have recently collaborated on development of a nature-based solutions and flow routing adaptation to a gridded rational method for peak flow estimation.

Selected publications

Miller James D. et al. , (2023), Hydrological assessment of urban nature-based solutions for urban planning using ecosystem service toolkit applications. Landscape and Urban Planning, 234, http://dx.doi.org/10.1016/j.landurbplan.2023.104737

Rahayu Rahmawati et al. , (2023), Impact of land cover, rainfall and topography on flood risk in West Java. Natural Hazards, 116, 1735-1758, http://dx.doi.org/10.1007/s11069-022-05737-6

Haxton Tracey et al. , (2023), Probable maximum flood: the potential for estimation in the UK using ReFH2. Hydrology Research, 54, 360-371, http://dx.doi.org/10.2166/nh.2023.117

Hannaford J. et al. , (2021), An updated national-scale assessment of trends in UK peak river flow data: how robust are observed increases in flooding?. Hydrology Research, http://dx.doi.org/10.2166/nh.2021.156

Vesuviano Gianni et al. , (2021), The effect of depth‐duration‐frequency model recalibration on rainfall return period estimates. Journal of Flood Risk Management, http://dx.doi.org/10.1111/jfr3.12703

Vesuviano Gianni et al. , (2020), Estimating design flood runoff volume. Journal of Flood Risk Management, 13, http://dx.doi.org/10.1111/jfr3.12642

Griffin Adam et al. , (2019), Have trends changed over time? A study of UK peak flow data and sensitivity to observation period. Natural Hazards and Earth System Sciences, 19, 2157-2167, https://doi.org/10.5194/nhess-19-2157-2019

Vesuviano G. et al. , (2018), Design flood estimation and utility of high-resolution calibration data in small, heavily urbanised catchments. Journal of Flood Risk Management, http://dx.doi.org/10.1111/jfr3.12464

Dixon Harry et al. , (2017), Making better use of local data in flood frequency estimation. https://www.gov.uk/government/publications/making-better-use-of-local-data-in-flood-frequency-estimation

Stovin Virginia et al. , (2015), Defining green roof detention performance. http://www.tandfonline.com/doi/abs/10.1080/1573062X.2015.1049279

Other Publications

Stovin V, Vesuviano G and Kasmin H (2012). The hydrological performance of a green roof test bed under UK climatic conditions. Journal of Hydrology 414-415, 148-161.

https://doi.org/10.1016/j.jhydrol.2011.10.022

Vesuviano G, Sonnenwald F and Stovin V (2014). A two-stage storage routing model for green roof runoff detention. Water Science and Technology 69.6 1191-1197.

https://doi.org/10.2166/wst.2013.808