Miguel A. Astorayme

Pontifical Catholic University of Peru | PUCP · Department of Engineering

El presente artículo está orientado al análisis comparativo de diferentes modelos hidrológicos en la cuenca del río Chillón. Esta cuenca, ubicada aproximadamente a 130 kilómetros al sur de la ciudad de Lima, fue seleccionada para evaluar la capacidad de simulación de los modelos Génie Rural à 4 paramètres Journalier (GR4J), Soil Contribution (SOCON...

In Peru, there is a low density of hydrometric records. The information available recurrently presents a monthly resolution. In this in this sense, the use of models to derive answers for shorter time scale is essential. This study focused on modeling the Rimac River basin and to change the time scale by rainfall-runoff model Génie Rural à 4 Paramè...

From a scientific and practical standpoint, basin modeling is more effective if you have more than one modeling response. In this paper, we propose the adequacy of four rainfall-runoff models in the Chillon river basin: Génie Rural à 4 Paramètres Journalier (GR4J), Soil Contribution (SOCONT), Hydrologiska Byrans Vattenbalansavdelning (HBV) and Sacr...

Lima holds ~30% of Peru’s entire population. It is listed among the 30 most populated cities of the world, and since the past decade, it faces an increasing water stress. In this context, evaluating future precipitation patterns in the Rimac Basin, which runs along Lima and provides for 60% of the drinking water to its population, is crucial. In th...

TOPMODEL is a widely used, physically based distributed rainfall-runoff model developed in the 1970s that has been used to model multiple watersheds from the Latin American sphere. However, to the best of our knowledge, it has not been applied in Peruvian watersheds. This contribution reports (1) the adequation of the particle swarm optimisation (P...

The following article pertains to use the first observed hourly precipitation records and estimated by satellites, such as: global precipitation measurement—GPM (0.1°×0.1°) and the remotely sensed information using artificial neural networks—PERSIANN (0.04°×0.04°) for the flow simulation. For the modelling process, the GR4H included in airGR packag...

The following article pertains to use the first observed hourly precipitation records and estimated by satellites, such as: global precipitation measurement—GPM (0.1°×0.1°) and the remotely sensed information using artificial neural networks—PERSIANN (0.04°×0.04°) for the flow simulation. For the modelling process, the GR4H included in airGR packag...

Como consecuencia del cambio climático, la ocurrencia de eventos extremos en el país se viene intensificando. Por lo que, cada vez surge una mayor necesidad por conocer, gestionar y predecir con mas detalle el comportamiento de la hidrología en las cuencas del país. En este contexto, la presente tesis expone los resultados obtenidos en la adecuació...

This study use the Structure-from-Motion (SfM) technique in order to generate a digital elevation model (DEM) of a 1.1km stretch of the Rimac River (Lima, Peru). Aerial photographs were obtained by means of drones, field topographic control points, and river bed elevation. They were used to build a dense cloud of points (DCP) of the study area, it...