Open Access
Issue
E3S Web Conf.
Volume 702, 2026
Second International Conference on Innovations in Sustainable and Digital Construction Practices (ISDCP 2026)
Article Number 08001
Number of page(s) 19
Section Water Resources & Hydraulics
DOI https://doi.org/10.1051/e3sconf/202670208001
Published online 01 April 2026
  1. The Fishing Passport, Usk Reservoir. (2020). https://www.fishingpassport.co.ukfishing/reservoirs/usk-reservoir [Google Scholar]
  2. Natural Resources Wales, Usk Management Catchment Summary. (2020). https://naturalresources.wales/media/3214/usk-management-catchment.pdf [Google Scholar]
  3. Engineering Timelines, Usk Dam, (2020). http://www.engineering-timelines.com/scripts/engineeringItem.asp?id=1433 [Google Scholar]
  4. G.A.R. Sheppard, L.B. Aylen, The Usk Scheme for the Water Supply of Swansea, Proc. Inst. Civ. Eng., 7(2), 246–265 (1957). https://doi.org/10.1680/iicep.1957.2533 [Google Scholar]
  5. W.J. Kingston III, Hydrologic Modeling of a Probable Maximum Precipitation Event Using HEC-HMS and GIS Models - A Case Study of Two Watersheds in Southern Virginia, Doctoral Dissertation, Virginia Tech, (2012) [Google Scholar]
  6. A.G. Cudworth, Flood Hydrology Manual: A Water Resources Technical Publication, 1st ed., Denver Office (1989). [Google Scholar]
  7. Agritech Portal, Watershed Management, http://agritech.tnau.ac.in/agriculture/agri_majorareas_watershed_watershedmgt.html (accessed July 14, 2020). [Google Scholar]
  8. K.W. Chau, Particle swarm optimization training algorithm for ANNs in stage prediction of Shing Mun River, J. Hydrol. 329, 363–367 (2006). https://doi.org/10.1016/j.jhydrol.2006.02.025 [Google Scholar]
  9. R. Barati, Investigation of flood routing methods in natural waterways, MSc Thesis, University of Sistan and Baluchestan, Iran (2010). 10.13140/RG.2.2.30248.19207 [Google Scholar]
  10. C. Ionescu, S.C. Sorana, D.E.G. Nistoran, Influence of reservoir shape upon the choice of hydraulic vs. hydrologic reservoir routing method, in E3S Web of Conferences, 85, 700 (2019). https://doi.org/10.1051/e3scon720198507001 [Google Scholar]
  11. N.M.K. Thu, S.S. Khaing, Estimation of probable maximum flood, Int. J. Sci. Res. Eng. Dev. 2(4), 2–6. ISSN 2581-7175. (2019). [Google Scholar]
  12. V. Sharma, T. Priya, Development strategies for flood prone areas: case study, Disaster Prev. Manag. 10(2), 101–109 (2001). https://doi.org/10.1108/09653560110388852 [Google Scholar]
  13. L.C. Schreiner, J.T. Riedel, Probable Maximum Precipitation Estimates, United States East of the 105th Meridian, Department of Commerce, National Oceanic and Atmospheric Administration, 55 (1978). [Google Scholar]
  14. M.R. Knebl, Z.L. Yang, K. Hutchison, D.R. Maidment, Regional scale flood modeling using NEXRAD rainfall, GIS, and HEC-HMS/RAS: A case study for the San Antonio River Basin summer 2002 storm event, J. Environ. Manag. 75(4), 325–336 (2005). https://doi.org/10.1016/jjenvman.2004.11.024 [Google Scholar]
  15. J.M.S. Oliveira, M.R. Salla, Modelling the impacts of wildfire on surface runoff in the Upper Uberabinha River Watershed using HEC-HMS, J. Urban Environ. Eng. 11(1), 88–89 (2017). ISSN 1982-3932 https://doi.org/10.4090/juee.2017.v11n1.088098 [Google Scholar]

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