Location optimization of unmanned aerial vehicle (UAV) drone port for coastal zone management: The case of Guangdong coastal zone in China
文献类型：期刊论文
| 作者 | Sun, Jia5,6; Shu, Sijing3,4; Hu, Hongda5,6; Deng, Yingbin5,6; Li, Zhao5; Zhou, Shengnan6; Liu, Yue5; Dang, Minwen6; Huang, Wumeng2,5; Hou, Zhiwei5,6 |
| 刊名 | OCEAN & COASTAL MANAGEMENT
 |
| 出版日期 | 2025-03-01 |
| 卷号 | 262页码:18 |
| 关键词 | Coastal UAV network UAV remote sensing Drone port location optimization |
| ISSN号 | 0964-5691 |
| DOI | 10.1016/j.ocecoaman.2025.107576 |
| 英文摘要 | Coastal zones host diverse ecosystems and abundant natural resources but have become increasingly vulnerable in recent decades due to human activities and climate change. Effective management of coastal risks and sustainable development requires a continuous and efficient unmanned aerial vehicle (UAV) network to monitor coastal resources, natural hazards, and pollution events. Drone ports, as operational hubs for UAVs, provide essential support for autonomous monitoring, power management, and data synchronization. Optimizing the location of drone ports can significantly enhance monitoring efficiency, particularly in long, narrow coastal areas. This study proposes a technical framework for determining the optimal placement of drone ports within a coastal UAV monitoring network, tailored to the monitoring demands of coastal zone management (CZM). Using the Guangdong Province coastal area in China as a case study, we developed an optimization model for drone port locations. The study also emphasizes the need for technological adaptation to meet the specific demands of CZM applications, adhere to local UAV regulations, and navigate complex coastal environments. The innovations of this study lie in the development of a universal UAV network capable of supporting various CZM applications. The UAV network provides high-resolution data with high frequency and rapid response, and it can be seamlessly integrated with other monitoring technologies. These advantages enhance the ability to acquire fine-scale data, improving the effectiveness of coastal resource management and better informing adaptive strategies for local CZM sectors. |
| WOS研究方向 | Oceanography ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001427298900001 |
| 源URL | [http://ir.gig.ac.cn/handle/344008/82702]  |
| 专题 | 中国科学院广州地球化学研究所 |
| 通讯作者 | Jing, Wenlong; Yang, Ji |
| 作者单位 | 1.Guangdong Univ Technol, Sch Civil & Transportat Engn, Guangzhou 510000, Peoples R China 2.Guangzhou iMapCloud Intelligent Technol Co Ltd, Guangzhou 510095, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Guangzhou Inst Geochem, Guangzhou 510640, Peoples R China 5.Guangdong Acad Sci, Guangzhou Inst Geog, Ctr Ocean Remote Sensing, Southern Marine Sci & Engn Guangdong Lab Guangzhou, Guangzhou 510070, Peoples R China 6.Southern Marine Sci & Engn Guangdong Lab Guangzhou, Guangzhou 511485, Peoples R China |
| 推荐引用方式 GB/T 7714 | Sun, Jia,Shu, Sijing,Hu, Hongda,et al. Location optimization of unmanned aerial vehicle (UAV) drone port for coastal zone management: The case of Guangdong coastal zone in China[J]. OCEAN & COASTAL MANAGEMENT,2025,262:18. |
| APA | Sun, Jia.,Shu, Sijing.,Hu, Hongda.,Deng, Yingbin.,Li, Zhao.,...&Zhou, Chenghu.(2025).Location optimization of unmanned aerial vehicle (UAV) drone port for coastal zone management: The case of Guangdong coastal zone in China.OCEAN & COASTAL MANAGEMENT,262,18. |
| MLA | Sun, Jia,et al."Location optimization of unmanned aerial vehicle (UAV) drone port for coastal zone management: The case of Guangdong coastal zone in China".OCEAN & COASTAL MANAGEMENT 262(2025):18. |
入库方式： OAI收割
来源：广州地球化学研究所
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