Quantifying fine-grained sediment sources in the River Axe catchment, southwest England: application of a Monte Carlo numerical modelling framework incorporating local and genetic algorithm optimisation-Reference-Cited by-同舟云学术

Quantifying fine-grained sediment sources in the River Axe catchment, southwest England: application of a Monte Carlo numerical modelling framework incorporating local and genetic algorithm optimisation

Published:2011-10-07 Issue:13 Volume:26 Page:1962-1983
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrol. Process.

Author:

Collins A.L.,Zhang Y.¹,Walling D.E.²,Grenfell S.E.,Smith P.³,Grischeff J.⁴,Locke A.⁵,Sweetapple A.⁵,Brogden D.⁵

Affiliation:

1. ADAS, Woodthorne; Wergs Road; Wolverhampton; WV6 8TQ; UK

2. School of Geography, Archaeology and Earth Resources; University of Exeter; Rennes Drive; Exeter; EX4 4RJ; UK

3. Environment Agency; Lutra House, Dodd Way, Walton Summit; Preston; PR5 8BX; UK

4. Natural England; Riverside Chambers, Castle Street; Taunton; TA1 4AP; UK

5. Environment Agency; Exminster House, Miller Way; Exminster; EX6 8AS; UK

Publisher

Wiley

Subject

Water Science and Technology

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