Global Warming Prediction Model of Fish Migration Based on ArcGIS

doi:10.1051/e3sconf/202020401004

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	Global Warming Prediction Model of Fish Migration Based on ArcGIS
	Yipeng, Zhang; Dichao, Ning; Wentao, He
	2020-11-03
会议日期	October 16, 2020 - October 18, 2020
会议地点	Ottawa, ON, Canada
关键词	Environmental technology Fish Fisheries Forecasting Geographic information systems Global warming Interpolation Seawater effects Sustainable developmentArcgis softwares Fish migration Fish movements Kriging interpolation Linear Interpolation Nuclear densities Prediction model Seawater temperature
卷号	204
DOI	10.1051/e3sconf/202020401004
英文摘要	Rising global ocean temperatures will disrupt the livelihoods of people who depend on fishing for marine crops. Therefore, we propose fishery migration prediction models to solve the problem. We considered the effects of seawater temperature and salinity, and constructed a fish school migration prediction model based on ArcGIS. On this basis, a thermodynamic map of fish school distribution were made using ArcGIS software and kriging interpolation and nuclear density analysis. Moreover, linear interpolation and fitting are used to obtain the relationship between the annual fish movement distance and the year to predict the fish migration routes in the next 50 years. © The Authors, published by EDP Sciences, 2020.
会议录	E3S Web of Conferences
会议录出版者	EDP Sciences
语种	英语
ISSN号	25550403
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/132613]
专题	兰州理工大学
作者单位	College of Science, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Yipeng, Zhang,Dichao, Ning,Wentao, He. Global Warming Prediction Model of Fish Migration Based on ArcGIS[C]. 见:. Ottawa, ON, Canada. October 16, 2020 - October 18, 2020.