A hybrid PSO-SVM model based on clustering algorithm for short-term atmospheric pollutant concentration forecasting

2019 ◽  
Vol 146 ◽  
pp. 41-54 ◽  
Author(s):  
Shuixia Chen ◽  
Jian-qiang Wang ◽  
Hong-yu Zhang
1976 ◽  
Vol 33 (9) ◽  
pp. 2089-2096 ◽  
Author(s):  
John G. Stockner ◽  
Naval J. Antia

Examples are cited from the literature of phytoplankton-related pollution and nutrition studies where the possibility of successful adaptation and subsequent growth could have been overlooked because of insufficient duration of algal exposure to the pollutant or nutrient tested. We present evidence from our investigations where: a) initial algal exposures as long as 20–40 days to the pollutant or alternative nutrient may be required for successful adaptation, and b) phytoplankters initially tolerating only a low level of pollutant concentration could be trained to accept severalfold higher levels by repeated exposure to gradually increasing pollutant concentration A plea is made for future investigators to recognize the importance of long-term bioassays ascertaining algal potential for adaptation, in order that their results may be ecologically realistic for the purpose of environmental protection against chronic pollution and eutrophication. The short-term "shock" response should be clearly distinguished from the long-term habituation response of phytoplankters to the test chemical in these bioassays. Possible problems raising questionable objections to the long-term bioassay approach are discussed.


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