Abstract
Urban river water level early warning is not only an important means to ensure the normal operation of the urban system but also an integral part of the intelligent embodiment of the intelligent city. In addition to paying attention to its fluctuation state, the river water level is also very important for the accurate prediction of water level height in the future. For this reason, this chapter first constructs the prediction model of water level fluctuation state based on Naive Bayesian classifier, and on this basis, establishes the deterministic prediction model of water level height, and integrates the decomposition algorithm into the hybrid model. Have finally achieved good prediction results.
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Liu, H. (2020). Prediction Models of Urban Hydrological Status in Smart Environment. In: Smart Cities: Big Data Prediction Methods and Applications. Springer, Singapore. https://doi.org/10.1007/978-981-15-2837-8_9
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DOI: https://doi.org/10.1007/978-981-15-2837-8_9
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