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. |
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