Investigation of spatial and temporal salinity distribution in a river dominated delta through idealized numerical modelling

Matsoukis, Constantinos; Amoudry, Laurent O.; Bricheno, Lucy ORCID: https://orcid.org/0000-0002-4751-9366; Leonardi, Nicoletta. 2021 Investigation of spatial and temporal salinity distribution in a river dominated delta through idealized numerical modelling. Estuaries and Coasts. 26, pp. 10.1007/s12237-021-00898-2

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Abstract/Summary

The world’s river deltas are increasingly vulnerable due to pressures from human activities and environmental change. In deltaic regions, the distribution of salinity controls the resourcing of fresh water for agriculture, aquaculture and human consumption; it also regulates the functioning of critical natural habitats. Despite numerous insightful studies, there are still significant uncertainties on the spatio-temporal patterns of salinity across deltaic systems. In particular, there is a need for a better understanding of the salinity distribution across deltas’ channels and for simple predictive relationships linking salinity to deltas’ characteristics and environmental conditions. We address this gap through idealized three-dimensional modelling of a typical river-dominated delta configuration and by investigating the relationship between salinity, river discharge and channels’ bifurcation order. Model results are then compared with real data from the Mississippi River Delta. Results demonstrate the existence of simple one-dimensional and analytical relationships describing the salinity field in a delta. Salinity and river discharge are exponentially and negatively correlated. The Strahler-Horton method for stream labelling of the delta channels was implemented. It was discovered that salinity increases with decreasing stream order. These useful relationships between salinity and deltas’ bulk features and geometry might be applied to real case scenarios to support the investigation of deltas vulnerability to environmental change and the management of deltaic ecosystems.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	10.1007/s12237-021-00898-2
ISSN:	1559-2723
Date made live:	15 Feb 2021 10:43 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/529642

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