Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1016/j.envsoft.2015.06.003
Titel (primär) Integrating modelling and smart sensors for environmental and human health
Autor Reis, S.; Seto, E.; Northcross, A.; Quinn, N.W.T.; Convertino, M.; Jones, R.L.; Maier, H.R.; Schlink, U. ORCID logo ; Steinle, S.; Vieno, M.; Wimberly, M.C.
Journal / Serie Environmental Modelling & Software
Erscheinungsjahr 2015
Department SUSOZ
Band/Volume 74
Seite von 238
Seite bis 246
Sprache englisch
Keywords Integrated modelling; Environmental sensors; Population health; Environmental health; Big data
UFZ Querschnittsthemen RU6
Abstract Sensors are becoming ubiquitous in everyday life, generating data 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.
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Reis, S., Seto, E., Northcross, A., Quinn, N.W.T., Convertino, M., Jones, R.L., Maier, H.R., Schlink, U., Steinle, S., Vieno, M., Wimberly, M.C. (2015):
Integrating modelling and smart sensors for environmental and human health
Environ. Modell. Softw. 74 , 238 - 246