Fr. 129.00

Optimisation of Dynamic Heterogeneous Rainfall Sensor Networks in - the Context of Citizen Observatorie

English · Paperback / Softback

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Description

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List 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.

Summary

In this work, we explore the use of sensors that can relocate as rainfall events develop (dynamic sensors), and increasing the number of sensors involving volunteers (citizens) to improve the efficiency of the sensor network.

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