Uso del Índice Normalizado de Agua MODIS para monitoreo, modelación y pronóstico hidrológico en un gran sistema de llanura con morfología fluvial típica.
The estimation of hydrological cycle variables using remote sensing data has undergone remarkable advances in recent years. Today it is possible to freely access estimates of rainfall, evapotranspiration, soil moisture, land cover and elevation, among other variables of hydrological interest. This...
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| Formato: | Tesis Tesis doctoral acceptedVersion |
| Lenguaje: | Español Español |
| Publicado: |
Universidad Nacional de Luján
2019
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| Materias: | |
| Acceso en línea: | http://ri.unlu.edu.ar/xmlui/handle/rediunlu/558 |
| Aporte de: |
| Sumario: | The estimation of hydrological cycle variables using remote sensing data has undergone remarkable
advances in recent years. Today it is possible to freely access estimates of rainfall, evapotranspiration, soil
moisture, land cover and elevation, among other variables of hydrological interest. This has impacted the
field of hydrological modeling, either for simulation or prognosis. For example, estimates of cumulative
rainfall (or evapotranspiration) are used as forcing variables in different modeling schemes. Furthermore,
both the land cover and topographic information are often used to estimate parameters associated with the
hydrological response (curve number) or morphological parameters (Horton's relations), involved in the
development of many models. The present research focuses and exploits the links between the dynamics of
the saturated surface (i.e. flooded area) and runoff in a large flatland's hydrological system under a remote
sensing and hydrological modelling coupling approach. In a large flatland's hydrological system, the
variability of the extend of flooded area in the valleys may be significant, and observable even at large
spatial scales. Thus, it is possible to identify some kind of signal of the process by using optical remote
sensing data. Then, if any data of runoff are avaiable, it is possible to analyze the structure and intensity of
such links. Also, the patterns found (e.g. flooded area – runoff rating curves) may be included in a
precipitationrunoff
scheme, in such a way that the model parameters may be calibrated by remote sensing
estimates. In a few words, the tactic adopted was the developing of an hydrological model that takes
precipitation as a major input and reproduces both the dynamics of saturated area and runoff produced by
the system. Then, it is possible to calibrate model's parameters with the aid of remote sensing data (i.e.
saturated area estimates), under the assumption of a strong link between flooded area and runoff, and
evaluate the hypothesis by comparison of simulated and observed runoff. To do this, the Alto y Medio
Gualeguay river basin has been selected as study object. Also, MODIS MOD09A1 data were selected for the
extraction of flooded area estimates, using a NDWI thresholding approach. First, the links between NDWI
and flooded area have been studied. After that, the links between runoff and flooded area were determined by
using runoff data of Gualeguay river at Rosario del Tala (outlet of Alto y Medio Gualeguay) and flooded
area estimates by MODIS MOD09A1 NDWI threshold analysis. Finally, the model was developed (under a
soil moisture accounting and hydrological routing lumped scheme, including flooded area – runoff patterns
found) and remote sensing estimates were used for calibration. Evaluation results showed that the approach
is succesfull. |
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