Precipitation Sensor Network Optimal Design Using Time-Space Varying Correlation Structure

Precipitation Sensor Network Optimal Design Using Time-Space Varying Correlation Structure

Chacon Hurtado, J.C. (TU Delft Water Resources; IHE Delft Institute for Water Education)
Alfonso, Leonardo (IHE Delft Institute for Water Education)
Solomatine, D.P. (TU Delft Water Resources; IHE Delft Institute for Water Education)

Piasecki, M (editor)

2014

Design of optimal precipitation sensor networks is a common topic in hydrological literature, however this is still an open problem due to lack of understanding of some spatially variable processes, and assumptions that often cannot be verified. Among these assumptions lies the homoscedasticity of precipitation fields, common in hydrological practice. To overcome this, it is proposed a local intensity-variant covariance structure, which in the broad extent, provides a fully updated correlation structure as long as new data are coming into the system. These considerations of intensity-variant correlation structure will be tested in the design of a precipitation sensor network for a case study, improving the estimation of precipitation fields, and thus, reducing the input uncertainty in hydrological models, especially in the scope of rainfall-runoff models.

http://resolver.tudelft.nl/uuid:54cd59df-66dc-4515-afa6-31b602dfd660

978-1-5108-0039-7

Proceedings of the HIC 2014 - 11th international conference on hydroinformatics

11th International Conference on Hydroinformatics, 2014-08-17 → 2014-08-21, New York, United States

Institutional Repository

conference paper

© 2014 J.C. Chacon Hurtado, Leonardo Alfonso, D.P. Solomatine