A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological Processes
Time-varying sensitivity analysis (TVSA) allows sensitivity in a moving window to be estimated and the time periods in which the specific components of a model can affect its performance to be identified. However, one of the disadvantages of TVSA is its high computational cost, as it estimates sensi...
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Online Access: | https://www.mdpi.com/2073-4441/12/9/2463 |
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doaj-0a76afe21d694cf5a3d7c29dfa106fce2020-11-25T03:43:14ZengMDPI AGWater2073-44412020-09-01122463246310.3390/w12092463A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological ProcessesYelena Medina0Enrique Muñoz1Department of Civil Engineering, Universidad Católica de la Santísima Concepción, Concepción 4090541, ChileDepartment of Civil Engineering, Universidad Católica de la Santísima Concepción, Concepción 4090541, ChileTime-varying sensitivity analysis (TVSA) allows sensitivity in a moving window to be estimated and the time periods in which the specific components of a model can affect its performance to be identified. However, one of the disadvantages of TVSA is its high computational cost, as it estimates sensitivity in a moving window within an analyzed series, performing a series of repetitive calculations. In this article a function to implement a simple TVSA with a low computational cost using regional sensitivity analysis is presented. As an example of its application, an analysis of hydrological model results in daily, monthly, and annual time windows is carried out. The results show that the model allows the time sensitivity of a model with respect to its parameters to be detected, making it a suitable tool for the assessment of temporal variability of processes in models that include time series analysis. In addition, it is observed that the size of the moving window can influence the estimated sensitivity; therefore, analysis of different time windows is recommended.https://www.mdpi.com/2073-4441/12/9/2463hydrological processes variabilitysensitivity analysisenvironmental hydrological modeling |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yelena Medina Enrique Muñoz |
spellingShingle |
Yelena Medina Enrique Muñoz A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological Processes Water hydrological processes variability sensitivity analysis environmental hydrological modeling |
author_facet |
Yelena Medina Enrique Muñoz |
author_sort |
Yelena Medina |
title |
A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological Processes |
title_short |
A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological Processes |
title_full |
A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological Processes |
title_fullStr |
A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological Processes |
title_full_unstemmed |
A Simple Time-Varying Sensitivity Analysis (TVSA) for Assessment of Temporal Variability of Hydrological Processes |
title_sort |
simple time-varying sensitivity analysis (tvsa) for assessment of temporal variability of hydrological processes |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2020-09-01 |
description |
Time-varying sensitivity analysis (TVSA) allows sensitivity in a moving window to be estimated and the time periods in which the specific components of a model can affect its performance to be identified. However, one of the disadvantages of TVSA is its high computational cost, as it estimates sensitivity in a moving window within an analyzed series, performing a series of repetitive calculations. In this article a function to implement a simple TVSA with a low computational cost using regional sensitivity analysis is presented. As an example of its application, an analysis of hydrological model results in daily, monthly, and annual time windows is carried out. The results show that the model allows the time sensitivity of a model with respect to its parameters to be detected, making it a suitable tool for the assessment of temporal variability of processes in models that include time series analysis. In addition, it is observed that the size of the moving window can influence the estimated sensitivity; therefore, analysis of different time windows is recommended. |
topic |
hydrological processes variability sensitivity analysis environmental hydrological modeling |
url |
https://www.mdpi.com/2073-4441/12/9/2463 |
work_keys_str_mv |
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