The Peruvian Pacific drainage region

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Table of contents

Chapter 1 Introduction
1.1. General context
1.2. Motivation
1.3. Main and specific objectives
1.4. Organization
Introduction (version française)
Chapter 2 Study area and data
2.1. Hydroclimatic context of the Peruvian Pacific drainage
2.1.1. Climate variability
a. Mean climatic conditions in the South East Pacific
b. Modes of variability
El Niño phenomenon (ENSO) and its diversity
Decadal variability
Intraseasonal variability (MJO and oceanic Kelvin waves)
2.1.2. Physical landscape
a. Topography
b. Geology
c. Vegetation
2.1.3. Hydrological context
a. Arid and semi-arid conditions
b. Anthropogenization
2.2. Data
2.2.1. Precipitation
2.2.2. Temperature and evapotranspiration
2.2.3. Streamflow
2.2.4. Climatic indices
a. ENSO indices
b. MJO index and Kelvin waves
Chapter 3 Precipitation regime
3.1. Theoretical background
3.2. Methods
3.2.1. Data homogenization and validation
3.2.2. Classification and Regionalization Process
a. K-means clustering technique
b. Regionalization Analysis
c. Precipitation data interpolation
3.3. Results and discussion
3.3.1. Precipitation Classification
3.3.2. Regionalization
3.3.3. Regions Characterization
3.4. Conclusions
Chapter 4 Hydroclimatic balance
4.1. Theoretical background
4.2. Methods
4.2.1. Catchment water balance disparity
4.3. Results and discussion
4.3.1. Hydroclimatic time series
4.3.2. Catchment water balance disparity
4.4. Conclusions
Chapter 5 Runoff regime
5.1. Theoretical background
5.1.1. Hydrological lumped conceptual modelling
5.1.2. Regional runoff
5.2. Methods
5.2.1. Runoff simulation based on conceptual lumped models
5.2.2. Performance and efficiency of conceptual lumped models
5.2.3. Regional runoff model (RRM) and freshwater estimates
5.3. Results and discussion
5.3.1. Efficiency of the GR1A and GR2M models
5.3.2. Regional runoff model evaluation
5.3.3. Freshwater runoff estimation
5.4. Conclusions
Chapter 6 Impacts of climate variability and hydroclimatic change on precipitation and runoff
6.1. Precipitation and runoff variability associated with ENSO
6.1.1. Theoretical background
6.1.2. Methods
a. Principal Component Analysis (PCA)
b. The wavelets and coherence analysis
c. Correlation analysis
d. Covariance analysis
6.1.3. Results and discussion
a. PCA analysis of ENSO indices
b. Coherence between ENSO indices and precipitation series
c. Low frequency modulation of ENSO and precipitation regime
d. Precipitation variability and sea surface temperature anomalies
e. Low frequency modulation of ENSO and runoff regime
6.1.4. Conclusions
6.2. Trends and hydroclimatic change disparity over catchments
6.2.1. Theoretical background
6.2.2. Methods
a. Characterization of hydroclimatic time series
b. Hydroclimatic change disparity
6.2.3. Results and discussion
a. Characterization of hydroclimatic time series
b. Hydroclimatic change disparity
6.2.4. Conclusions
Chapter 7 General conclusions and perspectives
7.1. Conclusions
7.2. Perspectives
7.2.1. Impact of climate variability over seasonal hydrological regime as a forecasting tool
7.2.2. Impact of climate and catchment change over the hydrological regimes
Conclusions générales et perspectives (version française)
References