Groundwater drought forecasting using lumped conceptual models

Jackson, C.R.; Christelis, V.; Mansour, M.; Wang, L.; Bloomfield, J.P. ORCID: https://orcid.org/0000-0002-5730-1723. 2016 Groundwater drought forecasting using lumped conceptual models. [Poster] In: 1st Annual Meeting of the Drought & Water Scarcity Programme, Oxford, UK, 27-29 June 2016. British Geological Survey. (Unpublished)

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Official URL: http://historicdroughts.ceh.ac.uk/news-and-media/n...

Abstract/Summary

For fractured aquifers, such as the Cretaceous Chalk, autocorrelation in SGI (Bloomfield & Marchant, 2013) has been inferred to be primarily related to autocorrelation in the recharge time series, while in granular aquifers, such as the Permo– Triassic sandstones, autocorrelation in SGI is inferred to be primarily a function of intrinsic saturated flow and storage properties of aquifer

Item Type:	Publication - Conference Item (Poster)
Additional Keywords:	GroundwaterBGS, Groundwater, Groundwater modelling, Groundwater drought
Date made live:	30 Nov 2016 15:42 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/515191

Item Type:

Publication - Conference Item (Poster)

Additional Keywords:

GroundwaterBGS, Groundwater, Groundwater modelling, Groundwater drought

Date made live:

30 Nov 2016 15:42 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/515191