Global Journal of Human Social Science, H: Interdisciplinary, Volume 23 Issue 5

© 2023 Global Journals Volume XXIII Issue V Version I Global Journal of Human Social Science - Year 2023 ( ) H 17 calculation, and then offer recommendations to managers as a subsidy to support decision-making in the field of water resource management. With the use of Big Data is too possible to generate tables and graphs that show future projections of each region based on historical data, confronted with other indicators calculated over the years, such as the flow of water courses, which vary depending on the volume of rainwater that falls along the watershed. It is also possible, from the application of Big Data, to create a Dashboard to provide managers with detailed and consolidated indicators, such as, for example, the WQI in a specific collection location, in a region of the watershed, along a watercourse and its entire length, along a city or in a more consolidated way the WQI of the watershed. In this way, with the support of data collected in real-time, and the analysis made by the Big Data platform, it is possible to subsidize and facilitate the decision-making process more assertively and ensure more effective care for the environment and the effects of anthropic activities and interventions. With the IoT sensor network and Big Data, more thorough and effective control of areas possibly affected by debris discarded in water bodies from the incorrect disposal of materials in cities becomes possible. Once it is possible to obtain the WQI in each demarcated region and thus identify possible causes for the different values, apply specific treatments and more severe policies for each situation for the benefit of the population's health, thus contributing to the sustainability and safety in the territorial space of the watershed. Some situations, however, require innovative solutions. Not all indicators are possible to have their data obtained through IoT sensors. Human intervention is often required to collect, calculate, and analyze the indicator. A network of sensors scattered in a watershed may need help transmitting information because the technology used may or may not be able to deal with the volume and speed at which the data must be transmitted. Another problem is security since sensors and data transmission equipment may be stolen, making collecting information unfeasible. This study is limited to a conceptual basis proposal, and we recommend that Big Data and IoT applications be tested based on experimental studies, which will contribute significantly to the discussion on smart watersheds, enabling better management and conservation of water. It is clarified, finally, that this work did not aim to exhaust the subject, only to demonstrate that Information and Communication Technologies such as IoT and Big Data can be useful by providing information and subsidies to assist the decision-making process for the management of water resources, making the space of a watershed more intelligent . R eferences R éférences R eferencias 1. AB-PCJ, PCJ Basin Agency , location, available at: https://agencia.baciaspcj.org.br/bacias-pcj/localiza cao/ 2. Almeida, J. & Brito, A. G. The use of environmental indicators to support planning and management of water resources: the case of the autonomous region of the Azores. In: III Congreso Ibérico Sobre Gestión Y Planificación Del Agua, Anais... , Sevilla, Portugal, 2002. 3. Almeida, M. A. B., & Schwarzbold, A. (2003). Avaliação sazonal da qualidade das águas do Arroio da Cria Montenegro, RS com aplicação de um índice de qualidade de água (IQA). 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