基于GIS通视分析的长岛海域溢油陆岸监测系统选址——以大黑山为例*
Site Selection of Shoreside Oil Spill Monitoring System Based on GIS Visibility Analysis Illustrated by an Example of Daheishan

丁一1,2,江崇波1,2,苑克磊1,2,张怡1,2,钟山1,2,王立鹏1,2,崔廷伟3
DING Yi1,2,JIANG Chongbo1,2,YUAN Kelei1,2,ZHANG Yi1,2,ZHONG Shan1,2,WANG Lipeng1,2,CUI Tingwei3

(1.国家海洋局北海预报中心,山东青岛266061;2.山东省海洋生态环境与防灾减灾实验室,山东青岛266061;3.国家海洋局第一海洋研究所,山东青岛266061)
(1.North China Sea Marine Forecasting Center of State Oceanic Administration,Qingdao,Shandong,266061,China;2.Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Mitigation,Qingdao,Shandong,266061,China;3.The First Institute of Oceanography,SOA,Qingdao,Shandong,266061,China)


摘要:【目的】渤海海峡长岛海域常年受到溢油污染,严重损害水产养殖、旅游产业以及生态环境等,建设近岸实时溢油监测系统非常必要。【方法】以长岛海域大黑山为例,基于2011—2013年溢油SAR卫星遥感监测结果,确定溢油污染区,利用GIS通视分析技术,并综合考虑交通、土地、电力、通信等因素,开展溢油陆岸监测系统选址工作。【结果】建议把站位1适当北移作为监测系统建设站位,同时把站位3作为备用站位。【结论】选择的站位可为长岛开展溢油陆岸监测系统建设选址提供参考。
关键词:GIS通视分析   溢油监测   选址   长岛
中图分类号:U698.7     文献标识码:A     文章编号:1002-7378(2016)02-0088-04

Abstract:【Objective】Changdao seas of Bohai Strait is perennially sulfered the pollution of oil spill, which seriously damages aquaculture,tourism, and ecological environment. It is necessary to build the shoreside oil spill real-time monitoring system.【Methods】Changdao Daheishan was taken for an example in this paper. Oil spill pollution area was determined based on the oil spill SAR satellite monitoring results during 2011-2013,and oil spill shoreside monitoring system site was selected to use GIS visibility analysis technology with the consideration of the factors such as traffic,land,power,communication.【Results】After moving the first site to north properly, which was selected as monitor system, at the same time, the third site was used to alternative option.
Conclusion】The site selection methods can provide an reference to shoreside oil spill monitoring system construction in Changdao seas in the future.
Key words:GIS visibility analysis,oil spill monitoring,site selection,Changdao
 

*海洋公益性科研项目(201205012)和山东省生态环境与防灾减灾重点实验室开放基金项目(201307)资助。

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