Data driven modeling and simulation about carp aggregation

Author

Chao Wu, University of Tennessee at ChattanoogaFollow

Committee Chair

Liang, Yu

Committee Member

Yang, Li; Wu, Dalei

Department

Dept. of Computer Science and Engineering

College

College of Engineering and Computer Science

Publisher

University of Tennessee at Chattanooga

Place of Publication

Chattanooga (Tenn.)

Abstract

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.

Acknowledgments

This work was jointly sponsored by the National Science Foundation (NSF) with proposal number 1240734 (“A Design Proposal for the Center of Cyber Sensor Networks for Human and Environmental Applications”) and 1111542 (“RI: Large: Collaborative Research: A Robotic Network for Locating and Removing Invasive Carp from Inland Lakes”). The author would like to thank her husband, Weiyang Lin, for encouragements during the work. It was his supports that helped the author focus on the research and overcome the difficulties. The author would also like to give thanks to her Mom, Meizhu Wang, and her lovely son, Joseph Lin, for their company. Many people have given great help in this project. The author would like to give thanks to Drs. Liang, Yang and Wu for providing invaluable advice. The author would also like to give thanks to Xueying Zhang and Emily Davis for their suggestions and editing. The author would like to give thanks to Karin Clumpner, Emily Davis, Rachel Laskowske, Mariana Kamel, Minjie Xia for their encouragement. Last but not least, thanks are also given to the Computer Science and Engineering Department at UTC for providing the author with the academic training to complete the research for this project.

Degree

M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.

Date

8-2016

Subject

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

Keyword

Aggregation; Carp; Agent-based; Inter-carp force field; Temperature; Irregular boundary

Document Type

Masters theses

DCMI Type

Text

Extent

x, 47 leaves

Language

English

Rights

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

License

http://creativecommons.org/licenses/by-nc-nd/3.0/

Recommended Citation

Wu, Chao, "Data driven modeling and simulation about carp aggregation" (2016). Masters Theses and Doctoral Dissertations.
https://scholar.utc.edu/theses/469