TY - JOUR
T1 - The impact of sediment flux and calibre on flood risk in the Kathmandu Valley, Nepal
AU - Thapa, Saraswati
AU - Sinclair, Hugh
AU - Creed, Maggie
AU - Mudd, Simon
AU - Attal, Mikael
AU - Borthwick, Alistair
AU - Ghimire, Bhola N.
AU - Watson, C. Scott
N1 - Funding Information:
The authors acknowledge the research fund supported by the School of Geosciences, University of Edinburgh, as part of the GCRF‐UKRI‐funded project Tomorrow's Cities (NE/S009000/1). The Committee on Earth Observation Satellites (CEOS), the Centre National d'Etudes Spatiales (CNES) and John Elliott are thanked for providing access to the Pleiades satellite imagery used to generate the DEM used in this study. Pleiades images were made available by CNES in the framework of the CEOS Working Group for Disasters. © CNES (2018, 2019, 2020), and Airbus DS, all rights reserved. Commercial uses are forbidden. The hydro‐meteorological data used in this study was provided by the Department of Hydrology and Meteorology, Government of Nepal. Equipment and sieves for pit excavation and sieve analysis were borrowed from the Central Material Testing Lab of Pulchowk Campus at the Institute of Engineering (CMTL, IOE), Nepal, and fine sieve analyses were performed at the same CMTL lab at IOE, Nepal. The authors also express sincere thanks to Manoranjan Muthusamy, Narendra Man Shakya, Bhim Ghale, Prakash Pokhrel, Mausam Bhandari and Anup Shrestha for their support while collecting data and to Sunil Raut Kshetri for helping to learn programming languages to analyse the data. Furthermore, the authors are greatly thankful to the associate editor, Stuart Lane, and two anonymous reviewers for their very constructive and meticulous comments that have appreciably improved the quality of the manuscript.
Publisher Copyright:
© 2023 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd.
PY - 2023/11/1
Y1 - 2023/11/1
N2 - This paper investigates how variations in sediment supply, grain size distribution and climate change affect channel morphology and flood inundation in the Nakkhu River, Kathmandu, Nepal. Climate change-induced extreme rainfall is expected to increase flood intensity and frequency, causing severe flooding in the Kathmandu basin. The upper reaches of the Nakkhu River are susceptible to landslides and have been impacted by large-scale sand mining. We simulate potential erosion and deposition scenarios along a 14 km reach of the Nakkhu River using the landscape evolution model CAESAR-Lisflood with a 10 m digital elevation model, field-derived sediment grain size data, daily discharge records and flood forecast models. In a series of numerical experiments, we compare riverbed profiles, cross-sections, flood extent and flow depths for three scenarios (1.2-, 85- and 1000-year return period floods). For each scenario, the model is first run without sediment transport and then with sediment transport for three grain size distributions (GSDs) (observed average, finer and coarser). In all cases, the inclusion of sediment led to predicted floods of a larger extent than estimated without sediment. The sediment grain size distribution was found to have a significant influence on predicted river morphology and flood inundation, especially for lower magnitude, higher probability flood events. The results emphasise the importance of including sediment transport in hydrological models when predicting flood inundation in sediment-rich rivers such as those in and around the Himalaya.
AB - This paper investigates how variations in sediment supply, grain size distribution and climate change affect channel morphology and flood inundation in the Nakkhu River, Kathmandu, Nepal. Climate change-induced extreme rainfall is expected to increase flood intensity and frequency, causing severe flooding in the Kathmandu basin. The upper reaches of the Nakkhu River are susceptible to landslides and have been impacted by large-scale sand mining. We simulate potential erosion and deposition scenarios along a 14 km reach of the Nakkhu River using the landscape evolution model CAESAR-Lisflood with a 10 m digital elevation model, field-derived sediment grain size data, daily discharge records and flood forecast models. In a series of numerical experiments, we compare riverbed profiles, cross-sections, flood extent and flow depths for three scenarios (1.2-, 85- and 1000-year return period floods). For each scenario, the model is first run without sediment transport and then with sediment transport for three grain size distributions (GSDs) (observed average, finer and coarser). In all cases, the inclusion of sediment led to predicted floods of a larger extent than estimated without sediment. The sediment grain size distribution was found to have a significant influence on predicted river morphology and flood inundation, especially for lower magnitude, higher probability flood events. The results emphasise the importance of including sediment transport in hydrological models when predicting flood inundation in sediment-rich rivers such as those in and around the Himalaya.
U2 - 10.1002/esp.5731
DO - 10.1002/esp.5731
M3 - Article
SN - 0197-9337
JO - Earth Surface Processes and Landforms
JF - Earth Surface Processes and Landforms
ER -