A0 Maps of MOR Index for the Peruvian Amazon Waterway (PAW) Project: River Dynamics and Shallow Zones

This dataset provides high-resolution maps (Figure 6 of the associated study) illustrating river dynamics and monitoring station distribution in the Peruvian Amazon Waterway (PAW) project area. The maps focus on the spatial characterization of river activity using the Morphodynamic (MOR) Index (low, medium, high) across the Huallaga, Marañón, Ucayali, and Amazon rivers. They also highlight existing infrastructure and monitoring stations deployed by national and international agencies. These maps aim to support future infrastructure projects by offering critical insights into river dynamics and the optimal placement of monitoring stations and structures. The dataset is presented in GeoTIFF format with a resolution of 600 dpi, enabling seamless integration into GIS platforms for planning and research purposes.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-03
DOI
https://doi.org/10.5281/zenodo.14263284
Primary Topic
Hydrology and Sediment Transport Processes
Type
article
Field-Weighted Citation Impact
0.00
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article

A0 Maps of MOR Index for the Peruvian Amazon Waterway (PAW) Project: River Dynamics and Shallow Zones

Zenodo (CERN European Organization for Nuclear Research)
Hydrology and Sediment Transport Processes
article

A0 Maps of MOR Index for the Peruvian Amazon Waterway (PAW) Project: River Dynamics and Shallow Zones

article en

Abstract

This dataset provides high-resolution maps (Figure 6 of the associated study) illustrating river dynamics and monitoring station distribution in the Peruvian Amazon Waterway (PAW) project area. The maps focus on the spatial characterization of river activity using the Morphodynamic (MOR) Index (low, medium, high) across the Huallaga, Marañón, Ucayali, and Amazon rivers. They also highlight existing infrastructure and monitoring stations deployed by national and international agencies. These maps aim to support future infrastructure projects by offering critical insights into river dynamics and the optimal placement of monitoring stations and structures. The dataset is presented in GeoTIFF format with a resolution of 600 dpi, enabling seamless integration into GIS platforms for planning and research purposes.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 55%
Hydrology and Sediment Transport Processes
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