| contributor author | Fan Zhang | |
| contributor author | Xin Peng | |
| contributor author | Yefeng Sun | |
| contributor author | Qing Yu | |
| contributor author | Yuanqiao Wen | |
| date accessioned | 2024-12-24T09:57:07Z | |
| date available | 2024-12-24T09:57:07Z | |
| date copyright | 9/1/2024 12:00:00 AM | |
| date issued | 2024 | |
| identifier other | AJRUA6.RUENG-1166.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4298016 | |
| description abstract | This study proposes a method to select optimal sites for human-life search and rescue operations in inland waters. It was used to bridge the disparity between the distribution of current water search and rescue facilities and the nuanced spatial distribution of risks associated with water traffic accidents. An evaluation model for the demand of search and rescue demand was developed considering regional water traffic flow, wind direction, wind speed, channel depth, and the historical frequency of water traffic accidents. An objective function was formulated to optimize the selection of search and rescue operation sites in inland waters. Finally, the method realized the precise layout planning of search and rescue sites in inland waters using the objective function. The effectiveness of the proposed method was verified by taking the Yangtze River as the research area, which improved 22.92% of the capacity to respond to life-threatening search and rescue emergencies. | |
| publisher | American Society of Civil Engineers | |
| title | An Optimized Site Selection Method for Human-Life Search and Rescue in Inland Waters | |
| type | Journal Article | |
| journal volume | 10 | |
| journal issue | 3 | |
| journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
| identifier doi | 10.1061/AJRUA6.RUENG-1166 | |
| journal fristpage | 04024036-1 | |
| journal lastpage | 04024036-14 | |
| page | 14 | |
| tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2024:;Volume ( 010 ):;issue: 003 | |
| contenttype | Fulltext | |