Hydrological Models

The study area includes the upstream section to the Shanao station, which has a surface area of ​​8,372 km². Its maximum altitude is 4,000 meters above sea level (masl), and its minimum is 268 masl. The basin has a predominantly warm, rainy climate in the lower and middle reaches, and a predominantly humid rainforest climate in the upper reaches (Alto Mayo Protection Forest – BPAM).

Autoregressive Model

A first-order autoregressive model was developed and applied to the annual (100-year) prediction of Mayo River flows, based on a 31-year historical series. The analysis corresponded to monthly flows measured by SENAMHI at the Shanao station on the Mayo River (1983–2013). The first-order autoregressive (AR1) model, also known as the first-order Markov model, was selected.

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PERU | SCIENCE
CONCYTEC published the new National Code of Scientific Integrity
March 8, 20224 - 10:31 AM

The National Council for Science, Technology and Technological Innovation (CONCYTEC) published the new National Code of Scientific Integrity, which establishes principles, best practices, and obligations for the various phases of scientific activity.

The document will serve as a guide for individuals and organizations that are part of the National System of Science, Technology and Innovation (SINACTI).

Advanced Hydrological Modeling

In an era of high climate variability precision in modeling is not just an academic exercise — it is a survival strategy for our infrastructure.

Water Resources Management

Effective water management requires a balance between human demand, industrial growth, and ecosystem health in Latin America.

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