Chaos is a complex and irregular world in contrast with simple and regular natures of linear systems. Scientists and engineers have invoked lowdimensional chaos for understanding the nature of real systems. In this study, the complex behavior of a daily wastewater¯ow and evidence of deterministic nonlinear dynamics are investigated. The analysis involves both a metric approach of the correlation dimension and a topological technique called the close returns plot. The estimation procedure of delay time and delay time window is reviewed using a new technique called the C±C method for the state space reconstruction. And both parameters are used for estimating the correlation dimension. As a result, the daily wastewater¯ow shows no evidence of chaotic dynamics, which implies that stochastic models rather than deterministic chaos may be more appropriate for representing an investigated series.

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