Data driven modeling and simulation about carp aggregation

Asian carp is notorious as one of the most severe aquatic invasive species (AIS) threats to the waters of the Mississippi River Region. The devastating effect of Asian carp calls for desperate measures to decrease the spread of Asian carp and prevent possible invasion into the Great Lake. This work presents an agent-based mathematical model to simulate the aggregation of Asian carp which would provide valuable help in fish removal or control. The referred mathematical model is derived from the following assumptions: (1) the aggregation results from a completely random and spontaneous physical behavior of numerous independent carp rather than consensus among every carp involved in the aggregation; (2) carp aggregation is a collective effect of inter-carp and carp-environment interaction; (3) aggregation happens when two carp or two schools of carp approach each other within a perceptible distance. As a variant of the molecular dynamics method, the proposed mathematical model is based on an empirical inter-carp force field which is featured with repulsion, parallel orientation and attraction zone. Besides, due to the physical limitation of carp, we also considered out-of-perception zone and a blind zone. By employing an inter-carp force field, the aggregation behavior of carp is investigated. Preliminary simulation results about the aggregation of a small number of carp within a simple environment are provided. Further experiment-based validation about the mathematical model is also briefly discussed and further suggested as possible future work.

Grantor dc:publisher

University of Tennessee at Chattanooga

Author dc:creator

• Wu, Chao

Contributors dc:contributor

• Liang, Yu
• Yang, Li; Wu, Dalei
• College of Engineering and Computer Science

• Carp -- Control -- Great Lakes (North America)
• Introduced fishes -- Control -- Great Lakes (North America)

Licence

• https://rightsstatements.org/page/InC/1.0/?language=en

Language dc:language

English, eng

Repository record dc:identifier

https://scholar.utc.edu/theses/469

OAI identifier oai:identifier

oai:scholar.utc.edu:theses-1621