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Multi-influence factor prediction for water bloom based on multi-sensor system

Li Wang
Xiaoyi Wang ; School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China
Jiping Xu ; School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China
Yan Shi ; School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China
Jiabin Yu ; School of Computer and Information Engineering, Beijing Technology and Business University, Beijing, China


Puni tekst: engleski PDF 258 Kb

str. 131-138

preuzimanja: 304

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Sažetak

This paper proposes a new multi-influence factors
prediction method for water bloom prediction
based on a remote monitor system and multi-sensor
data taking into account the integrated effect of
multiple influential factors along with the
periodicity and random effect of environmental
variables. Valid and accurate water-bloom
prediction can be obtained by combining various
multidimensional time series methods. Comparing
the proposed model based on multi-sensors data to
a traditional one-dimensional time series model
based on one-sensor data, it has been found that a
multidimensional model is a useful and accurate
model for establishing multiple influential factors
time series of water bloom. The optimum model can
be used not only to predict water bloom but also to
determine the period and random change rule of
multiple influential factors.

Ključne riječi

prediction model, water bloom, parameter estimation

Hrčak ID:

122372

URI

https://hrcak.srce.hr/122372

Posjeta: 459 *