Simple rainfall indices for forecasting hazardous events of hydrologic and geologic nature
Autor: | Oswaldo Augusto Filho, Cahio Guimarães Seabra Eiras, Paulo Sérgio da Silva Júnior |
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Rok vydání: | 2020 |
Předmět: |
021110 strategic
defence & security studies Atmospheric Science 010504 meteorology & atmospheric sciences Flood myth Spatial database Combined use 0211 other engineering and technologies Landslide 02 engineering and technology 01 natural sciences Geographic information system software Hazardous waste Natural hazard Earth and Planetary Sciences (miscellaneous) Period (geology) Environmental science Physical geography 0105 earth and related environmental sciences Water Science and Technology |
Zdroj: | Natural Hazards. 101:689-709 |
ISSN: | 1573-0840 0921-030X |
Popis: | Heavy rains are the main natural trigger agent of floods and slope movements responsible for significant economic and social losses in many regions of the Brazilian territory. The affected municipalities are generally scarce in technical and economic resources to invest in mitigation actions. This work aimed to define readily available rainfall indices to predict the occurrence of these dangerous events. The main pluviometric parameters used were the daily rainfall and the mobile cycle coefficient (MCC). MCC is defined as the ratio between the total amount of rainfall accumulated over a certain period and the accumulated rainfall considered normal for this period. The analyses were based on a spatial database containing daily rainfall, flood and landslides events that occurred from 1965 to 2016 in the Sao Carlos municipality (Sao Paulo, Brazil). The structuring of this database and the subsequent spatial analyses were performed using a geographic information system software. The results indicated good potential for the combined use of MCC and daily rainfall indices to predict floods in the study area. The correlations with landslides presented some incongruities that can be mainly explained by not considering the accumulated rainfall before the triggering of landslides and the small number of events available. The simplicity and easy access to these rainfall indices favor their use to subsidize Civil Defense preventive measures, while more detailed studies are not available. |
Databáze: | OpenAIRE |
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