Time series in M dimensions: The one-dimensional case: Pollution in the Chicago Sanitary and Ship Canal
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A nonstationary time-series model is used to examine the changes occurring at sampling stations on the Chicago Sanitary and Ship Canal. Using data from upstream sampling sites, downstream levels of dissolved oxygen, total dissolved solids, nitrates and nitrites, and ammonia are accurately predicted. The method is simple, insensitive to extreme values, and responsive to changes in the system.
Key wordsNonstationary time series Pollutants Dissolved oxygen Total dissolved solids Nitrates and nitrites Ammonia M-Dimensional time series Chicago sanitary and ship canal Sampling Monitoring
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