Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/96796
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Type: Journal article
Title: Integrating modelling and smart sensors for environmental and human health
Author: Reis, S.
Seto, E.
Northcross, A.
Quinn, N.
Convertino, M.
Jones, R.
Maier, H.
Schlink, U.
Steinle, S.
Vieno, M.
Wimberly, M.
Citation: Environmental Modelling and Software, 2015; 74:238-246
Publisher: Elsevier
Issue Date: 2015
ISSN: 1364-8152
1873-6726
Statement of
Responsibility: 
Stefan Reis, Edmund Seto, Amanda Northcross, Nigel W.T. Quinn, Matteo Convertino, Rod L. Jones, Holger R. Maier, Uwe Schlink, Susanne Steinle, Massimo Vieno, Michael C. Wimberly
Abstract: at an unprecedented rate and scale. However, models that assess impacts of human activities on environmental and human health, have typically been developed in contexts where data scarcity is the norm. Models are essential tools to understand processes, identify relationships, associations and causality, formalize stakeholder mental models, and to quantify the effects of prevention and interventions. They can help to explain data, as well as inform the deployment and location of sensors by identifying hotspots and areas of interest where data collection may achieve the best results. We identify a paradigm shift in how the integration of models and sensors can contribute to harnessing ‘Big Data’ and, more importantly, make the vital step from ‘Big Data’ to ‘Big Information’. In this paper, we illustrate current developments and identify key research needs using human and environmental health challenges as an example.
Keywords: Integrated modelling; Environmental sensors; Population health; Environmental health; Big data
Rights: Crown Copyright © 2015 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/
RMID: 0030031979
DOI: 10.1016/j.envsoft.2015.06.003
Appears in Collections:Civil and Environmental Engineering publications

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