Table of Contents

1 Introduction
2 Literature review and proposed framework
3 Case studies
4 Advancing Kriging methods for merging heterogeneous data sources in non-stationary precipitation fields
5 Optimisation of static precipitation sensor networks and robustness analysis
6 Optimisation of dynamic precipitation sensor networks
7 Conclusions and recommendations

About the Author

Juan Carlos Chacon-Hurtado is a Civil Engineer from the Pontificia Universidad Javeriana Cali, with an MSc Water Science and Engineering with specialisation in Hydroinformatics from UNESCO-IHE, and with various academic and professional interests related to the use of advanced ITC tools to address water-related problems (hydroinformatics). Juan Carlos has experience in areas of hydrological modelling, optimisation, uncertainty analysis, data assimilation, water loss control and scientific programming. Juan Carlos is currently a Postdoc researcher in multi-criteria decision analysis applied to sewer asset management at the Delft University of Technology, The Netherlands.