Density and classification of the rainfall network and spatiotemporal analysis of rain in the upper Parana river region, Brazil
ABSTRACT Water management aims to ensure the water availability necessary to meet the current and future demand for water resources. For which it is essential to implement monitoring networks that support the investigation of events that interfere with the rainfall regime of watersheds, such the pha...
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Recursos Hídricos
2023-06-01
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| Series: | Revista Brasileira de Recursos Hídricos |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312023000100215&tlng=en |
| _version_ | 1797791445576318976 |
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| author | Eduarda Noriko Tokuda César Gustavo da Rocha Lima Milton Dall’Aglio Sobrinho Jefferson Nascimento de Oliveira |
| author_facet | Eduarda Noriko Tokuda César Gustavo da Rocha Lima Milton Dall’Aglio Sobrinho Jefferson Nascimento de Oliveira |
| author_sort | Eduarda Noriko Tokuda |
| collection | DOAJ |
| description | ABSTRACT Water management aims to ensure the water availability necessary to meet the current and future demand for water resources. For which it is essential to implement monitoring networks that support the investigation of events that interfere with the rainfall regime of watersheds, such the phases of the ocean-atmospheric phenomenon El Niño – Southern Oscillation (ENSO). The classification of the rainfall network was proposed according to the World Meteorological Organization (WMO) for 14 management watersheds in the Upper Parana River (UPR) region, Brazil. On the other hand, the spatial and temporal variability of annual rainfall was analyzed using geostatistical techniques and confronted with ENSO data. To this purpose, data from 408 stations were collected via the Hidroweb portal, for the period from 1990 to 2020. The low representativeness of data in the region was verified from the observational network. The areas with the lowest and highest rainfall reduction were the north and northwest regions of the UPR, and the areas surrounding the Paraná River, respectively. The years 2019 and 2020 were identified as the most critical period of the last 3 decades with below-average rainfall (-13.21%) in 49.55% of the studied area, indicating a persistence in the drought scenario. |
| first_indexed | 2024-03-13T02:18:54Z |
| format | Article |
| id | doaj.art-507119267d8b48aab2b9f52bc7bdcfbd |
| institution | Directory Open Access Journal |
| issn | 2318-0331 |
| language | English |
| last_indexed | 2024-03-13T02:18:54Z |
| publishDate | 2023-06-01 |
| publisher | Associação Brasileira de Recursos Hídricos |
| record_format | Article |
| series | Revista Brasileira de Recursos Hídricos |
| spelling | doaj.art-507119267d8b48aab2b9f52bc7bdcfbd2023-06-30T10:55:41ZengAssociação Brasileira de Recursos HídricosRevista Brasileira de Recursos Hídricos2318-03312023-06-012810.1590/2318-0331.282320220101Density and classification of the rainfall network and spatiotemporal analysis of rain in the upper Parana river region, BrazilEduarda Noriko Tokudahttps://orcid.org/0000-0003-2863-8842César Gustavo da Rocha Limahttps://orcid.org/0000-0003-1878-2912Milton Dall’Aglio Sobrinhohttps://orcid.org/0000-0002-8689-5700Jefferson Nascimento de Oliveirahttps://orcid.org/0000-0002-4453-6347ABSTRACT Water management aims to ensure the water availability necessary to meet the current and future demand for water resources. For which it is essential to implement monitoring networks that support the investigation of events that interfere with the rainfall regime of watersheds, such the phases of the ocean-atmospheric phenomenon El Niño – Southern Oscillation (ENSO). The classification of the rainfall network was proposed according to the World Meteorological Organization (WMO) for 14 management watersheds in the Upper Parana River (UPR) region, Brazil. On the other hand, the spatial and temporal variability of annual rainfall was analyzed using geostatistical techniques and confronted with ENSO data. To this purpose, data from 408 stations were collected via the Hidroweb portal, for the period from 1990 to 2020. The low representativeness of data in the region was verified from the observational network. The areas with the lowest and highest rainfall reduction were the north and northwest regions of the UPR, and the areas surrounding the Paraná River, respectively. The years 2019 and 2020 were identified as the most critical period of the last 3 decades with below-average rainfall (-13.21%) in 49.55% of the studied area, indicating a persistence in the drought scenario.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312023000100215&tlng=enPrecipitationKrigingENSORainfall networkWater scarcity |
| spellingShingle | Eduarda Noriko Tokuda César Gustavo da Rocha Lima Milton Dall’Aglio Sobrinho Jefferson Nascimento de Oliveira Density and classification of the rainfall network and spatiotemporal analysis of rain in the upper Parana river region, Brazil Revista Brasileira de Recursos Hídricos Precipitation Kriging ENSO Rainfall network Water scarcity |
| title | Density and classification of the rainfall network and spatiotemporal analysis of rain in the upper Parana river region, Brazil |
| title_full | Density and classification of the rainfall network and spatiotemporal analysis of rain in the upper Parana river region, Brazil |
| title_fullStr | Density and classification of the rainfall network and spatiotemporal analysis of rain in the upper Parana river region, Brazil |
| title_full_unstemmed | Density and classification of the rainfall network and spatiotemporal analysis of rain in the upper Parana river region, Brazil |
| title_short | Density and classification of the rainfall network and spatiotemporal analysis of rain in the upper Parana river region, Brazil |
| title_sort | density and classification of the rainfall network and spatiotemporal analysis of rain in the upper parana river region brazil |
| topic | Precipitation Kriging ENSO Rainfall network Water scarcity |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312023000100215&tlng=en |
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