University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Integrated modeling in urban hydrology: reviewing the role of monitoring technology in overcoming the issue of ‘big data’ requirements

Hutchins, Michael G., McGrane, Scott J., Miller, James D., Hagen-Zanker, Alex, Kjeldsen, Thomas R., Dadson, Simon J. and Rowland, Clare S. (2016) Integrated modeling in urban hydrology: reviewing the role of monitoring technology in overcoming the issue of ‘big data’ requirements Wiley Interdisciplinary Reviews: Water, 4 (1).

[img]
Preview
Text
Integrated Modelling in Urban Hydrology.pdf - Accepted version Manuscript

Download (916kB) | Preview

Abstract

Increasingly, the application of models in urban hydrology has undergone a shift toward integrated structures that recognize the interconnected nature of the urban landscape and both the natural and engineered water cycles. Improvements in computational processing during the past few decades have enabled the application of multiple, connected model structures that link previously disparate systems together, incorporating feedbacks and connections. Many applications of integrated models look to assess the impacts of environmental change on physical dynamics and quality of landscapes. Whilst these integrated structures provide a more robust representation of natural dynamics, they often place considerable data requirements on the user, whereby data are required at contrasting spatial and temporal scales which can often transcend multiple disciplines. Concomitantly, our ability to observe complex, natural phenomena at contrasting scales has improved considerably with the advent of increasingly novel monitoring technologies. This has provided a pathway for reducing model uncertainty and improving our confidence in modeled outputs by implementing suitable monitoring regimes. This commentary assesses how component models of an exemplar integrated model have advanced over the past few decades, with a critical focus on the role of monitoring technologies that have enabled better identification of the key physical process. This reduces the uncertainty of processes at contrasting spatial and temporal scales, through a better characterization of feedbacks which then enhances the utility of integrated model applications.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Civil and Environmental Engineering
Authors :
NameEmailORCID
Hutchins, Michael G.UNSPECIFIEDUNSPECIFIED
McGrane, Scott J.UNSPECIFIEDUNSPECIFIED
Miller, James D.UNSPECIFIEDUNSPECIFIED
Hagen-Zanker, Alexa.hagen-zanker@surrey.ac.ukUNSPECIFIED
Kjeldsen, Thomas R.UNSPECIFIEDUNSPECIFIED
Dadson, Simon J.UNSPECIFIEDUNSPECIFIED
Rowland, Clare S.UNSPECIFIEDUNSPECIFIED
Date : 16 September 2016
Funders : Natural Environment Research Council (NERC UK)
Identification Number : 10.1002/wat2.1177
Grant Title : Changing Water Cycle program
Copyright Disclaimer : © 2016 Wiley Periodicals, Inc.
Depositing User : Clive Harris
Date Deposited : 16 Jan 2018 11:54
Last Modified : 16 Jan 2018 11:55
URI: http://epubs.surrey.ac.uk/id/eprint/845618

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800