The present research was held in the basin of the river Ramis, located in the hydrographic region of Titicaca, Peru, with the objective of calibrating and validating the Sacramento hydrological model (SAC-SMA) from a semi-distributed approach. The hydrometeorological information used for rainfall, temperature and flow, correspond to a series of records 2005 - 2016. The methodology of spatial interpolation of meteorological data in the virtual station was estimated using the Shepard procedure and potential evapotranspiration by the model Turc, these methodologies are incorporated in the RSMINERVE platform and are automated estimates. The calibration and validation phase of the model was performed randomly with 70% and 30% of the total data respectively. The statistical evaluation of efficiency and error were measured by the Nash coefficient, Nash coefficient for logarithm values and r...

The present research was held in the basin of the river Ramis, located in the hydrographic region of Titicaca, Peru, with the objective of calibrating and validating the Sacramento hydrological model (SAC-SMA) from a semi-distributed approach. The hydrometeorological information used for rainfall, temperature and flow, correspond to a series of records 2005 - 2016. The methodology of spatial interpolation of meteorological data in the virtual station was estimated using the Shepard procedure and potential evapotranspiration by the model Turc, these methodologies are incorporated in the RSMINERVE platform and are automated estimates. The calibration and validation phase of the model was performed randomly with 70% and 30% of the total data respectively. The statistical evaluation of efficiency and error were measured by the Nash coefficient, Nash coefficient for logarithm values and r...

The present research was held in the basin of the river Ramis, located in the hydrographic region of Titicaca, Peru, with the objective of calibrating and validating the Sacramento hydrological model (SAC-SMA) from a semi-distributed approach. The hydrometeorological information used for rainfall, temperature and flow, correspond to a series of records 2005 - 2016. The methodology of spatial interpolation of meteorological data in the virtual station was estimated using the Shepard procedure and potential evapotranspiration by the model Turc, these methodologies are incorporated in the RSMINERVE platform and are automated estimates. The calibration and validation phase of the model was performed randomly with 70% and 30% of the total data respectively. The statistical evaluation of efficiency and error were measured by the Nash coefficient, Nash coefficient for logarithm values and r...

El presente trabajo de investigación titulado “ANÁLISIS DE FRECUENCIA REGIONAL DE LAS PRECIPITACIONES MÁXIMAS EN LA REGIÓN HIDROGRÁFICA DEL TITICACA”, se realizó en el altiplano Peruano, ubicado entre los Departamentos de Puno y Tacna, con el objetivo de desarrollar modelos regionales de precipitaciones máximas diarias, aplicado al problema de la estimación de precipitaciones en zonas sin información, cuyos resultados serán empleados en proyectos que requieren este tipo de información, generalmente para el diseño de obras hidráulicas. La información meteorológica, corresponde al Servicio Nacional de Meteorología e Hidrología con un periodo de registro de 1956 - 2014 y la metodología a utilizar consistió en identificar regiones homogéneas cuyos métodos usados se refieren a técnicas multivariadas jerárquicas y momentos-L, dividiendo el área de estudio en tres re...

La estimación del caudal de diseño en cuencas no instrumentadas para la planeación hidráulica, es un problema habitual en hidrología. La poca densidad de estaciones hidrométricas y la reducida longitud de series hidrológicas hacen que los profesionales utilicen metodologías no apropiadas para generar información en sitios sin registro. El análisis regional de frecuencia justifica su aplicación para estimar variables ambientales en sitios con o sin registro, reduciendo de esta manera los efectos que podrían generarse en el planeamiento hidráulico. El objetivo de la investigación fue realizar el análisis regional de frecuencia para la estimación de caudales máximos en la cuenca amazónica del Perú. El conjunto de datos utilizados, fueron mediciones de caudales máximos diarios recolectados de 10 estaciones hidrométricas, las mismas que se encuentran dentro del área de e...

La presente investigación se realizó en la región hidrográfica del Titicaca (lado Peruano), ubicado entre los Departamentos de Puno y Tacna, teniendo como objetivo desarrollar modelos regionales de precipitaciones máximas diarias, aplicado al problema de la estimación de precipitaciones en zonas sin información, cuyos resultados serán empleados en proyectos que requieren este tipo de información, generalmente para el diseño de obras hidráulicas. La información meteorológica, corresponde al Servicio Nacional de Meteorología e Hidrología con un periodo de registro de 1965 al 2013 y la metodología a utilizar consistió en identificar regiones homogéneas cuyos métodos usados se refieren a técnicas multivariadas jerárquicas y momentos-L, dividiendo el área de estudio en tres regiones homogéneas sobre la base de los estadísticos de medida central y variación de la preci...

La presente investigación se realizó en la cuenca del río Ramis, ubicado en la región hidrográfica del Titicaca, Perú, con el objetivo de calibrar y validar el modelo hidrológico Sacramento (SAC-SMA) desde un enfoque semidistribuido. La información hidrometeorológica utilizada de precipitación pluvial, temperatura y caudal, corresponden a una serie de registro 2005 – 2016. La metodología de interpolación espacial de datos meteorológicos en la estación virtual, fue estimada mediante el procedimiento de Shepard y la evapotranspiración potencial por el modelo de Turc, estas metodologías vienen incorporados en la plataforma RS-MINERVE y son estimaciones automatizadas. La fase de calibración y validación del modelo, se realizó de forma aleatoria con el 70% y 30% del total de datos respectivamente. La evaluación estadística de eficiencia y error fueron medidos a través ...

The forecast of river stream flows is of significant importance for the development of early warning systems. Artificial intelligence algorithms have proven to be an effective tool in hydrological modeling data-driven, since they allow establishing relationships between input and output data of a watershed and thus make decisions data-driven. This article investigates the applicability of the k-nearest neighbor (KNN) algorithm for forecasting the mean daily flows of the Ramis river, at the Ramis hydrometric station. As input to the KNN machine learning algorithm, we used a data set of mean basin precipitation and mean daily flow from hydrometeorological stations with various lags. The performance of the KNN algorithm was quantitatively evaluated with hydrological ability metrics such as mean absolute percentage error (MAPE), anomaly correlation coefficient (ACC), Nash-Sutcliffe efficienc...

La investigación se realizó en la cuenca Ramis, ubicado al norte de la región hidrográfica del Titicaca (lado peruano), teniendo como objetivo validar las precipitaciones estimadas por satélite y su aplicación en la modelación hidrológica del rio Ramis. La validación de precipitaciones estimadas por satélite, se realizó mediante una comparación entre datos observados en ambos casos para el periodo enero de 1998 a diciembre 2013, los cuales fueron evaluados mediante los indicadores estadísticos de sesgo porcentual y coeficiente de determinación. Para el caso de la modelación hidrológica, se efectuó mediante el modelo hidrológico GR2M el cual consistió en las etapas de calibración y validación. La significancia estadística de las simulaciones de caudales fue evaluada mediante los indicadores de eficiencia de Nash-Sutcliffe y el sesgo porcentual. Los resultados obtenid...

The present research was held in the basin of the river Ramis, located in the hydrographic region of Titicaca, Peru, with the objective of calibrating and validating the Sacramento hydrological model (SAC-SMA) from a semi-distributed approach. The hydrometeorological information used for rainfall, temperature and flow, correspond to a series of records 2005 - 2016. The methodology of spatial interpolation of meteorological data in the virtual station was estimated using the Shepard procedure and potential evapotranspiration by the model Turc, these methodologies are incorporated in the RSMINERVE platform and are automated estimates. The calibration and validation phase of the model was performed randomly with 70% and 30% of the total data respectively. The statistical evaluation of efficiency and error were measured by the Nash coefficient, Nash coefficient for logarithm values and r...

Según el resumen ejecutivo de la delimitación y codificación de unidades hidrográficas del Perú, elaborado por la Autoridad Nacional del Agua en el año 2008, utilizando la metodología de Otto Pfafstetter, las cuencas en estudio se encuentran ubicadas en la Región Hidrográfica del Titicaca, jerarquizada en el nivel 2 con el código 01, abarcando el Sistema Titicaca - Poopó con 149,588.72 Km². Las cuencas Ilave y Coata según esta metodología están jerarquizadas en el nivel 3 y nivel 4 con códigos de 016 y 0176 respectivamente. En el mapa 4.2 se puede observar la ubicación y codificación hidrográfica de las cuencas bajo la metodología mencionada.

This research was conducted in the Hydrographic Region Titicaca, Peru. The main objective was to develop regional models of average monthly flows and persistence of the main rivers, applied to the problem of estimation of flows in basins without hydrometric registration. The climatic and physiographic characteristics of the basins under study were taken as independent variables and the mean monthly flows and persistence as a dependent variable. The methodology to identify homogeneous hydrological regions was made through the techniques of Ward and L-Moments. The regional equations were determined using potential regression models, the explanatory variables being the basin area and the length of the main river. The Nash-Sutcliffe (NSE) efficiency indicators and the root mean square error (RMSE) were used to assess the statistical significance of the regional models. The proposed regional ...

This research was conducted in the Hydrographic Region Titicaca, Peru. The main objective was to develop regional models of average monthly flows and persistence of the main rivers, applied to the problem of estimation of flows in basins without hydrometric registration. The climatic and physiographic characteristics of the basins under study were taken as independent variables and the mean monthly flows and persistence as a dependent variable. The methodology to identify homogeneous hydrological regions was made through the techniques of Ward and L-Moments. The regional equations were determined using potential regression models, the explanatory variables being the basin area and the length of the main river. The Nash-Sutcliffe (NSE) efficiency indicators and the root mean square error (RMSE) were used to assess the statistical significance of the regional models. The proposed regional ...

This research was conducted in the Hydrographic Region Titicaca, Peru. The main objective was to develop regional models of average monthly flows and persistence of the main rivers, applied to the problem of estimation of flows in basins without hydrometric registration. The climatic and physiographic characteristics of the basins under study were taken as independent variables and the mean monthly flows and persistence as a dependent variable. The methodology to identify homogeneous hydrological regions was made through the techniques of Ward and L-Moments. The regional equations were determined using potential regression models, the explanatory variables being the basin area and the length of the main river. The Nash-Sutcliffe (NSE) efficiency indicators and the root mean square error (RMSE) were used to assess the statistical significance of the regional models. The proposed regional ...

This research was conducted in the Hydrographic Region Titicaca, Peru. The main objective was to develop regional models of average monthly flows and persistence of the main rivers, applied to the problem of estimation of flows in basins without hydrometric registration. The climatic and physiographic characteristics of the basins under study were taken as independent variables and the mean monthly flows and persistence as a dependent variable. The methodology to identify homogeneous hydrological regions was made through the techniques of Ward and L-Moments. The regional equations were determined using potential regression models, the explanatory variables being the basin area and the length of the main river. The Nash-Sutcliffe (NSE) efficiency indicators and the root mean square error (RMSE) were used to assess the statistical significance of the regional models. The proposed regional ...

The objective of the study was the multi-temporal analysis between 1975 and 2015, on changes in glacier coverage in the snowy Allin Capac and Chichi Capac, Peru. The area covered by glaciers was estimated using the supervised classification method for Landsat 2 image and the normalized difference snow index for Landsat 5 and Landsat 8 images. The results of the analysis show a drastic decrease of the glacier cover in the snowy Allin Capac and Chichi Capac. Thus, in 1975 the area of ​​glacier coverage was 52.3 km2 and by 2015 was reduced to 16.9 km2, losing a total of 35.6 km2. In 1975, the 35% of the glacier coverage was below the 5000 m.a.s.l. and by the 2015 it represents only 9% of the total glacier area. The greatest setback is evident in the last three decades of the 20th century, with a smaller decline during the first two decades of the 21th century. It is concluded that ...

The objective of the study was the multi-temporal analysis between 1975 and 2015, on changes in glacier coverage in the snowy Allin Capac and Chichi Capac, Peru. The area covered by glaciers was estimated using the supervised classification method for Landsat 2 image and the normalized difference snow index for Landsat 5 and Landsat 8 images. The results of the analysis show a drastic decrease of the glacier cover in the snowy Allin Capac and Chichi Capac. Thus, in 1975 the area of ​​glacier coverage was 52.3 km2 and by 2015 was reduced to 16.9 km2, losing a total of 35.6 km2. In 1975, the 35% of the glacier coverage was below the 5000 m.a.s.l. and by the 2015 it represents only 9% of the total glacier area. The greatest setback is evident in the last three decades of the 20th century, with a smaller decline during the first two decades of the 21th century. It is concluded that ...

The objective of the study was the multi-temporal analysis between 1975 and 2015, on changes in glacier coverage in the snowy Allin Capac and Chichi Capac, Peru. The area covered by glaciers was estimated using the supervised classification method for Landsat 2 image and the normalized difference snow index for Landsat 5 and Landsat 8 images. The results of the analysis show a drastic decrease of the glacier cover in the snowy Allin Capac and Chichi Capac. Thus, in 1975 the area of ​​glacier coverage was 52.3 km2 and by 2015 was reduced to 16.9 km2, losing a total of 35.6 km2. In 1975, the 35% of the glacier coverage was below the 5000 m.a.s.l. and by the 2015 it represents only 9% of the total glacier area. The greatest setback is evident in the last three decades of the 20th century, with a smaller decline during the first two decades of the 21th century. It is concluded that ...

The objective of the study was the multi-temporal analysis between 1975 and 2015, on changes in glacier coverage in the snowy Allin Capac and Chichi Capac, Peru. The area covered by glaciers was estimated using the supervised classification method for Landsat 2 image and the normalized difference snow index for Landsat 5 and Landsat 8 images. The results of the analysis show a drastic decrease of the glacier cover in the snowy Allin Capac and Chichi Capac. Thus, in 1975 the area of ​​glacier coverage was 52.3 km2 and by 2015 was reduced to 16.9 km2, losing a total of 35.6 km2. In 1975, the 35% of the glacier coverage was below the 5000 m.a.s.l. and by the 2015 it represents only 9% of the total glacier area. The greatest setback is evident in the last three decades of the 20th century, with a smaller decline during the first two decades of the 21th century. It is concluded that ...