Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1016/j.envsoft.2015.06.003
Title (Primary) Integrating modelling and smart sensors for environmental and human health
Author 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.
Journal Environmental Modelling & Software
Year 2015
Department SUSOZ
Volume 74
Page From 238
Page To 246
Language englisch
Keywords Integrated modelling; Environmental sensors; Population health; Environmental health; Big data
UFZ wide themes 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.
Persistent UFZ Identifier
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