The generation of rainfall equations is invaluable for urban and highway drainage
projects. Hence, there is a critical need to invest in studies enabling the extraction of
data on critical rainfall with increased precision. However, despite a considerable
amount of data, the state of Pará faces a shortage of precipitation collection stations
for some municipalities, or even insufficient and unreliable data. Therefore, the
objective is to assess the possibility of using rainfall data from neighboring
municipalities to establish synthetic equations that cater to locations lacking such
information. For this purpose, 12 collection points in the northeast of the state of Pará
were utilized to analyze maximum annual precipitation, averages, and standard
deviations. Applying methods such as Gumbel and rainfall disaggregation, rainfall
equations were derived and validated using efficiency coefficients (COE). The
stations were grouped into three sets of 4 stations each, with one located centrally
not exceeding 50 km from the others. Interpolation was then performed using the
inverse power-distance method with different possible exponents (ID1, ID2, ID3, ID4,
and ID5). Once the synthetic rainfall equation was obtained, quality analysis was
conducted through percentage error between the real intensities of the central
stations and the synthetic intensities obtained from interpolation. The main results
suggest that the method of transferring rainfall equations tends to have a high degree
of uncertainty due to the different climatic characteristics present in each municipality.
However, it is concluded that it is possible to transfer rainfall equations from adjacent
stations, recommending the use of a safety factor of 13 to 18%.
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