Big Data Analysis in Crisis Management - Improving the Development Process of Hydrological and Meteorological Hazard Alerts in The Polish Hydrological and Meteorological Service
Paweł Derek , Agnieszka Dobrowolska
AbstractNatural hazards have significant results in material and human losses. Due to the increasing intensity of weather phenomena, the national hydrological and meteorological services, which play an important role in national crisis management structures, are obliged to provide rapid and precise warnings about extreme phenomena in the hydrosphere and atmosphere. Based on this information, other participants involved in the functioning of the national crisis management system plan and implement tasks having a direct effect on the level of health, life and property protection. To meet growing demands, national services must boldly reach for solutions related to Big Data analysis, artificial intelligence (AI) and machine learning (ML) more often. The article presents a general concept of an IT system aimed at comprehensive support for the process related to issuing and distributing warnings about hydrological and meteorological hazards at the Institute of Meteorology and Water Management - National Research Institute (Polish - IMGW-PIB), acting as the national hydrological and meteorological service in Poland.
|Publication size in sheets||0.65|
|Book||Soliman Khalid S. (eds.): Education Excellence and Innovation Management: A 2025 Vision to Sustain Economic Development during Global Challenges, 2020, International Business Information Management Association (IBIMA), ISBN 9780999855141|
|Keywords in English||Big Data, crisis management, hydrological warnings, meteorological warnings|
|Uwaga||The project is financed by the Ministry of Science and Higher Education in Poland under the programme "Regional Initiative of Excellence" 2019 - 2022 project number 015/RID/2018/19 total funding amount 10 721 040,00 PLN|
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