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ANNs to forecast waterflow, soluble reactive phosphorus and total phosphorus at the lower end of a river stretch

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Storage:	The size of this resource is 12.5 MB
Created:	Jul 19, 2023 at 4:13 p.m.
Last updated:	Jul 19, 2023 at 5:17 p.m.
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Sharing Status:	Public
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Abstract

These ANN models are instruments capable to forecast flows and concentrations with an anticipation of up to 15h, at resolutions up to an hour, at the downstream end of a river stretch, based on the values measured at the upstream end of the stretch (together with data from tributaries for the concentrations). These instruments are based on artificial neural networks (ANN) and comprises separate prediction modules (1) for flows and (2) for concentrations; and (3) for flows and concentrations. The ANNs have been tested employing field data collected on the river Swale, UK, during 1993 to 2000, in two different type of occasions (a) long term usual water flow monitoring at 15 minutes resolution and (b) intensive monitoring campaigns for water flow and phosphorus species concentrations at up to three hours resolution.

The ANNs development methodology and results are described in the paper:
Horia Hangan, Elisabeta Cristina Timis, Vasile Mircea Cristea, Michael George Hutchins, 2023. Improved artificial neural network models of river stretches extending the forecasting horizon across wide ranges of water flow and phosphorus concentration, submitted to Journal of Hydrology.

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Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

River Swale between Catterick Bridge (National Grid Reference, NGR, SE225994508) and Crakehill (NGR SE426734)

North Latitude

54.3835°

East Longitude

-1.3490°

South Latitude

54.1711°

West Longitude

-1.6470°

Temporal

Start Date:
End Date:

Content

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Additional Metadata

Name	Value
Field data	Hutchins, M. G., E. A. Timis (2020). Field data for the development of ADModel, HydroShare, https://doi.org/10.4211/hs.858aaf445ca645f5948a7bd73c16cdd6

How to Cite

Hangan, H., E. Timis, V. M. Cristea, M. G. Hutchins (2023). ANNs to forecast waterflow, soluble reactive phosphorus and total phosphorus at the lower end of a river stretch, HydroShare, http://www.hydroshare.org/resource/02f5b6093a5941d8ba471b2b387765dd

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

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