Source Journal of CSCD
Source Journal for Chinese Scientific and Technical Papers
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Volume 39 Issue 12
Mar.  2022
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CHI Pan-pan, WEI Wei, YE Song. ESTABLISHMENT AND APPLICATION OF WATER QUALITY SAFETY EARLY WARNING MODEL BASED ON PETRI THEORY[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(12): 79-83,158. doi: 10.13205/j.hjgc.202112012
Citation: CHI Pan-pan, WEI Wei, YE Song. ESTABLISHMENT AND APPLICATION OF WATER QUALITY SAFETY EARLY WARNING MODEL BASED ON PETRI THEORY[J]. ENVIRONMENTAL ENGINEERING , 2021, 39(12): 79-83,158. doi: 10.13205/j.hjgc.202112012

ESTABLISHMENT AND APPLICATION OF WATER QUALITY SAFETY EARLY WARNING MODEL BASED ON PETRI THEORY

doi: 10.13205/j.hjgc.202112012
  • Received Date: 2020-11-27
    Available Online: 2022-03-30
  • Publish Date: 2022-03-30
  • Water quality safety early warning is of great significance for preventing water pollution accidents and ensuring water resources safety. The traditional water quality safety early warning model can only give early warning to the gradual water environmental pollution accidents or the water environmental pollution accidents that have already occurred and have obvious signs appearing, but cannot give effective early warning to the sudden water environmental pollution accidents without obvious signs. To solve this problem, the step idea of Petri net was effectively incorporated into the traditional evaluation index system, so as to realize the structural adjustment of the logical topology network of the model. Combined with the fuzzy comprehensive evaluation method and BP neural network, an early warning model which can timely reflect the sudden water environmental pollution accident was established. The model was applied to the study of water quality safety in Taihu Lake. The results showed that the model could accurately predict the occurrence of multiple bloom events in Taihu Lake, on the basis of incorporating the indexes of total nitrogen, total phosphorus and transparency into the step factors. The conclusion provided a new idea and theoretical basis for studying the early warning of water environmental pollution accidents.
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