Jonathan Andre Quiroz
Colorado School of Mines
Recent Activity
ABSTRACT:
The Yauca watershed-scale hydrologic model comprehends watersheds delineated by landuse and ANA subbasins (ANA is the Peruvian Water National authority). The model was simulated with PRMS, and sub-divided into multiple subbasins. HRUs in the simulation represent a geospatial merge between subbasins and landuses. Soil geometries were not considered due to the high uncertainty of the datasets and the lack of measured data in this regional scale simulated. Watersheds and subbasins were re-delineated and some may not contain the entire watershed dimension because only subbasins with monitored data were considered.
Raw data from automatic and conventional weather stations was used and supported with the PISCO gridded dataset developed by SENAMHI. The model comprehends streamflow, diversions, and reservoir operations up to 2016. Reservoir volumes were calibrated, and different water uses, and climate change scenarios were evaluated.
In total, 5 Peruvian watersheds located in the region of Arequipa were evaluated: Yauca, Ocona, Camana Quilca, and Tambo.
ABSTRACT:
The Tambo watershed-scale hydrologic model comprehends watersheds delineated by landuse and ANA subbasins (ANA is the Peruvian Water National authority). The model was simulated with PRMS, and sub-divided into multiple subbasins. HRUs in the simulation represent a geospatial merge between subbasins and landuses. Soil geometries were not considered due to the high uncertainty of the datasets and the lack of measured data in this regional scale simulated. Watersheds and subbasins were re-delineated and some may not contain the entire watershed dimension because only subbasins with monitored data were considered.
Raw data from automatic and conventional weather stations was used and supported with the PISCO gridded dataset developed by SENAMHI. The model comprehends streamflow, diversions, and reservoir operations up to 2016. Reservoir volumes were calibrated, and different water uses, and climate change scenarios were evaluated.
In total, 5 Peruvian watersheds located in the region of Arequipa were evaluated: Yauca, Ocona, Camana Quilca, and Tambo.
ABSTRACT:
The Ocoña watershed-scale hydrologic model comprehends watersheds delineated by landuse and ANA subbasins (ANA is the Peruvian Water National authority). The model was simulated with PRMS, and sub-divided into multiple subbasins. HRUs in the simulation represent a geospatial merge between subbasins and landuses. Soil geometries were not considered due to the high uncertainty of the datasets and the lack of measured data in this regional scale simulated. Watersheds and subbasins were re-delineated and some may not contain the entire watershed dimension because only subbasins with monitored data were considered.
Raw data from automatic and conventional weather stations was used and supported with the PISCO gridded dataset developed by SENAMHI. The model comprehends streamflow, diversions, and reservoir operations up to 2016. Reservoir volumes were calibrated, and different water uses, and climate change scenarios were evaluated.
In total, 5 Peruvian watersheds located in the region of Arequipa were evaluated: Yauca, Ocona, Camana Quilca, and Tambo.
ABSTRACT:
The Camana watershed-scale hydrologic model comprehends watersheds delineated by landuse and ANA subbasins (ANA is the Peruvian Water National authority). The model was simulated with PRMS, and sub-divided into multiple subbasins. HRUs in the simulation represent a geospatial merge between subbasins and landuses. Soil geometries were not considered due to the high uncertainty of the datasets and the lack of measured data in this regional scale simulated. Watersheds and subbasins were re-delineated and some may not contain the entire watershed dimension because only subbasins with monitored data were considered.
Raw data from automatic and conventional weather stations was used and supported with the PISCO gridded dataset developed by SENAMHI. The model comprehends streamflow, diversions, and reservoir operations up to 2016. Reservoir volumes were calibrated, and different water uses, and climate change scenarios were evaluated.
In total, 5 Peruvian watersheds located in the region of Arequipa were evaluated: Yauca, Ocona, Camana Quilca, and Tambo.
ABSTRACT:
The Quilca watershed-scale hydrologic model comprehends watersheds delineated by landuse and ANA subbasins (ANA is the Peruvian Water National authority). The model was simulated with PRMS, and sub-divided into multiple subbasins. HRUs in the simulation represent a geospatial merge between subbasins and landuses. Soil geometries were not considered due to the high uncertainty of the datasets and the lack of measured data in this regional scale simulated. Watersheds and subbasins were re-delineated and some may not contain the entire watershed dimension because only subbasins with monitored data were considered.
Raw data from automatic and conventional weather stations was used and supported with the PISCO gridded dataset developed by SENAMHI. The model comprehends streamflow, diversions, and reservoir operations up to 2016. Reservoir volumes were calibrated, and different water uses, and climate change scenarios were evaluated.
In total, 5 Peruvian watersheds located in the region of Arequipa were evaluated: Yauca, Ocona, Camana Quilca, and Tambo.
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Created: Oct. 24, 2023, 2:43 p.m.
Authors: Quiroz, Jonathan Andre
ABSTRACT:
Arequipa watershed-scale hydrologic models
Created: Oct. 24, 2023, 2:52 p.m.
Authors: Quiroz, Jonathan Andre
ABSTRACT:
The Quilca watershed-scale hydrologic model comprehends watersheds delineated by landuse and ANA subbasins (ANA is the Peruvian Water National authority). The model was simulated with PRMS, and sub-divided into multiple subbasins. HRUs in the simulation represent a geospatial merge between subbasins and landuses. Soil geometries were not considered due to the high uncertainty of the datasets and the lack of measured data in this regional scale simulated. Watersheds and subbasins were re-delineated and some may not contain the entire watershed dimension because only subbasins with monitored data were considered.
Raw data from automatic and conventional weather stations was used and supported with the PISCO gridded dataset developed by SENAMHI. The model comprehends streamflow, diversions, and reservoir operations up to 2016. Reservoir volumes were calibrated, and different water uses, and climate change scenarios were evaluated.
In total, 5 Peruvian watersheds located in the region of Arequipa were evaluated: Yauca, Ocona, Camana Quilca, and Tambo.
Created: Oct. 25, 2023, 2:43 p.m.
Authors: Quiroz, Jonathan Andre
ABSTRACT:
The Camana watershed-scale hydrologic model comprehends watersheds delineated by landuse and ANA subbasins (ANA is the Peruvian Water National authority). The model was simulated with PRMS, and sub-divided into multiple subbasins. HRUs in the simulation represent a geospatial merge between subbasins and landuses. Soil geometries were not considered due to the high uncertainty of the datasets and the lack of measured data in this regional scale simulated. Watersheds and subbasins were re-delineated and some may not contain the entire watershed dimension because only subbasins with monitored data were considered.
Raw data from automatic and conventional weather stations was used and supported with the PISCO gridded dataset developed by SENAMHI. The model comprehends streamflow, diversions, and reservoir operations up to 2016. Reservoir volumes were calibrated, and different water uses, and climate change scenarios were evaluated.
In total, 5 Peruvian watersheds located in the region of Arequipa were evaluated: Yauca, Ocona, Camana Quilca, and Tambo.
Created: Oct. 25, 2023, 2:45 p.m.
Authors: Quiroz, Jonathan Andre
ABSTRACT:
The Ocoña watershed-scale hydrologic model comprehends watersheds delineated by landuse and ANA subbasins (ANA is the Peruvian Water National authority). The model was simulated with PRMS, and sub-divided into multiple subbasins. HRUs in the simulation represent a geospatial merge between subbasins and landuses. Soil geometries were not considered due to the high uncertainty of the datasets and the lack of measured data in this regional scale simulated. Watersheds and subbasins were re-delineated and some may not contain the entire watershed dimension because only subbasins with monitored data were considered.
Raw data from automatic and conventional weather stations was used and supported with the PISCO gridded dataset developed by SENAMHI. The model comprehends streamflow, diversions, and reservoir operations up to 2016. Reservoir volumes were calibrated, and different water uses, and climate change scenarios were evaluated.
In total, 5 Peruvian watersheds located in the region of Arequipa were evaluated: Yauca, Ocona, Camana Quilca, and Tambo.
Created: Oct. 25, 2023, 2:47 p.m.
Authors: Quiroz, Jonathan Andre
ABSTRACT:
The Tambo watershed-scale hydrologic model comprehends watersheds delineated by landuse and ANA subbasins (ANA is the Peruvian Water National authority). The model was simulated with PRMS, and sub-divided into multiple subbasins. HRUs in the simulation represent a geospatial merge between subbasins and landuses. Soil geometries were not considered due to the high uncertainty of the datasets and the lack of measured data in this regional scale simulated. Watersheds and subbasins were re-delineated and some may not contain the entire watershed dimension because only subbasins with monitored data were considered.
Raw data from automatic and conventional weather stations was used and supported with the PISCO gridded dataset developed by SENAMHI. The model comprehends streamflow, diversions, and reservoir operations up to 2016. Reservoir volumes were calibrated, and different water uses, and climate change scenarios were evaluated.
In total, 5 Peruvian watersheds located in the region of Arequipa were evaluated: Yauca, Ocona, Camana Quilca, and Tambo.
Created: Oct. 25, 2023, 2:49 p.m.
Authors: Quiroz, Jonathan Andre
ABSTRACT:
The Yauca watershed-scale hydrologic model comprehends watersheds delineated by landuse and ANA subbasins (ANA is the Peruvian Water National authority). The model was simulated with PRMS, and sub-divided into multiple subbasins. HRUs in the simulation represent a geospatial merge between subbasins and landuses. Soil geometries were not considered due to the high uncertainty of the datasets and the lack of measured data in this regional scale simulated. Watersheds and subbasins were re-delineated and some may not contain the entire watershed dimension because only subbasins with monitored data were considered.
Raw data from automatic and conventional weather stations was used and supported with the PISCO gridded dataset developed by SENAMHI. The model comprehends streamflow, diversions, and reservoir operations up to 2016. Reservoir volumes were calibrated, and different water uses, and climate change scenarios were evaluated.
In total, 5 Peruvian watersheds located in the region of Arequipa were evaluated: Yauca, Ocona, Camana Quilca, and Tambo.