2020
DOI: 10.18227/1982-8470ragro.v14i0.5918
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Geoprocessing and climate simulation applied to transposition between watershed in São Paulo state, Brazil

Abstract: The water crisis that hit the Southeast region of Brazil in the years 2014 and 2015 was generated by an atmospheric blocking associated with a high-pressure zone that persisted for more than 45 days, causing a drastic decrease in precipitation rates throughout the region. This fact had a major impact on the municipality of São Paulo, causing a crisis of lack of water availability. To face the problem of water shortages for the São Paulo Metropolitan Region, the water transposition from Paraíba do Sul River wat… Show more

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“…In the summer period there was a decrease in rainfall averages during all months, with decreases of -6.25%, -12.6% and -13.6% in December, January, and February, respectively (Figure 4). When analyzing rainfall between the past and future periods ( Figure 5) there was no significant change in the irregular distribution of precipitation in the Paraitinga Watershed, with the values demonstrating a high correlation between the analyzed periods, a similar result to that obtained by Silva and Simões (2014) and Silva et al (2020). Examining the rainfall by the simulated grid in the past period during the rainy season, the time of the year most favorable for the occurrence of landslides (Table 4), the location with the highest precipitation was P9 (1452.0mm) located in the extreme northeast of the region, in the regions of the Serra da Bocaina mountains and Serra do Mar mountains, which has a strong influence on orographic precipitation.…”
Section: Distribution Of Precipitation In the Paraitinga Watershedsupporting
confidence: 71%
“…In the summer period there was a decrease in rainfall averages during all months, with decreases of -6.25%, -12.6% and -13.6% in December, January, and February, respectively (Figure 4). When analyzing rainfall between the past and future periods ( Figure 5) there was no significant change in the irregular distribution of precipitation in the Paraitinga Watershed, with the values demonstrating a high correlation between the analyzed periods, a similar result to that obtained by Silva and Simões (2014) and Silva et al (2020). Examining the rainfall by the simulated grid in the past period during the rainy season, the time of the year most favorable for the occurrence of landslides (Table 4), the location with the highest precipitation was P9 (1452.0mm) located in the extreme northeast of the region, in the regions of the Serra da Bocaina mountains and Serra do Mar mountains, which has a strong influence on orographic precipitation.…”
Section: Distribution Of Precipitation In the Paraitinga Watershedsupporting
confidence: 71%