Changes of the coastal oil spill risk regime in China from 2014 to 2020
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摘要:
为研究大规模海上油品运输溢油风险的时空分布特征,采用地理空间分析、大数据分析、数理统计等方法,建立海上溢油风险空间分析模型,应用全国沿海船舶AIS数据、溢油历史事故、生态环境敏感目标等数据分析2014—2020年溢油风险情势的变化情况。结果表明:与2014年相比,2020年溢油事故风险指数均值、最大值分别增加27.8%和26.8%,溢油事故风险指数变化为−0.46~0.40,其中风险增加的海域主要分布在南北大通道、成山头、长江口、台湾海峡、珠江口海域,减少区域主要分布在近岸海域。全国沿海溢油事故高风险集中区主要分布在渤海—北黄海、长江口、台湾海峡、珠江口等海域;相较于2014年,2020年高风险集中区内有局部调整变化,但是高风险集中区的分布格局未发生变化。研究成果可为溢油风险管控和应急装备配备提供支撑。
Abstract:In order to study the spatial and temporal distribution pattern of oil spill risk of large-scale oil transportation in marine, the spatial analysis model of marine oil spill risk was established by applying the methods of geospatial analysis, big data analysis and mathematical statistics. The changes of oil spill risk regime from 2014 to 2020 were analyzed based on the national coastal ship AIS data, historical oil spill accident data, and ecological environment sensitive area data. The results showed that compared with 2014, the average value and the maximum value of oil spill accident risk index in 2020 increased by about 27.8% and 26.8%, respectively. The change of oil spill accident risk index was about -0.46-0.40. The oil spill accident risk increasing areas were mainly in the north-south channel, Chengshantou, the mouth of the Yangtze River, Taiwan Strait, and the Pearl River estuary sea area. The oil spill accident risk decreasing areas were mainly distributed in the near-shore sea area. The high-risk concentration areas of coastal oil spill accident risk were mainly located in the Bohai Sea - North Yellow Sea, the mouth of the Yangtze River, Taiwan Strait and the Pearl River estuary sea area. There were localized adjustments within the high-risk concentration areas in 2020 compared with 2014, but the distribution pattern of high-risk concentration areas remained unchanged. The research results could provide support for risk control and emergency equipment.
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Key words:
- coastal area in China /
- oil spill risk /
- spatial analysis /
- risk index /
- regime changes
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表 1 生态环境敏感目标敏感指数赋值
Table 1. Ecological environment sensitive area sensitivity index
环境敏感资源 赋值 自然保护区 5 海洋保护区 4 重要湿地 3 水产种质资源保护区 2 鱼类“三场一通道” 1 其他水域 0.1 表 2 2014—2020年溢油事故风险指数变化情况
Table 2. Changes of oil spill accident risk index from 2014 to 2020
指标 2014年 2020年 变化情况/% 平均值 0.018 0.023 27.8 最大值 1.53 1.94 26.8 表 3 2014—2020年高风险集中区溢油事故风险指数变化情况
Table 3. Changes of oil spill accident risk index from 2014 to 2020 in high-risk concentration area
高风险
集中区2014年 2020年 风险指数
变化/%面积/
万km2风险
指数总和面积/
万km2风险
指数总和渤海—北黄海 6.43 17.16 5.57 18.22 6.2 长江口 4.08 13.81 4.08 15.22 10.2 台湾海峡 1.88 4.24 2.20 4.83 14.0 珠江口 2.04 7.23 2.43 7.93 9.7 合计 14.43 42.43 14.27 46.20 8.9 -
[1] 熊善高, 李洪远, 丁晓, 等. 中国海域船舶溢油事故特征与预防对策[J]. 海洋环境科学,2013,32(6):875-879.XIONG S G, LI H X, DING X, et al. Characteristics and prevention countermeasures of marine oil spill accidents from ship in China[J]. Marine Environmental Science,2013,32(6):875-879. [2] CAKIR E, SEVGILI C, FISKIN R. An analysis of severity of oil spill caused by vessel accidents[J]. Transportation Research Part D: Transport and Environment,2021,90:102662. doi: 10.1016/j.trd.2020.102662 [3] 海关总署. 2020年12月进口主要商品量值表(人民币值)[EB/OL]. (2021-01-18)[2023-09-03]. http://gdfs.customs.gov.cn/customs/302249/zfxxgk/2799825/302274/302277/302276/3516038/index.html. [4] 李蓉茜, 陈海萍. 画好能源保供同心圆[N]. 中国水运报, 2021-11-14(4). [5] 程金香, 徐洪磊. 水上溢油风险分析与应急能力规划理论和实践[M]. 北京: 中国环境出版集团, 2022. [6] ANDERSON C M, LABELLE R P. Estimated occurrence rates for analysis of accidental oil spills on the US outer continental shelf[J]. Oil and Chemical Pollution,1990,6(1):21-35. doi: 10.1016/S0269-8579(05)80037-1 [7] MCMAHON ANDERSON C, LaBELLE R P. Comparative occurrence rates for offshore oil spills[J]. Spill Science & Technology Bulletin,1994,1(2):131-141. [8] ANDERSON C M, LaBELLE R P. Update of comparative occurrence rates for offshore oil spills[J]. Spill Science & Technology Bulletin,2000,6(5/6):303-321. [9] 竺诗忍, 张继萍. 舟山海域突发性溢油环境风险评价[J]. 海洋环境科学,1997,16(1):53-59.ZHU S R, ZHANG J P. Risk assessment of oil spilled in Zhoushan Sea[J]. Marine Environmental Science,1997,16(1):53-59. [10] 胡二邦. 环境风险评价实用技术、方法和案例[M]. 北京: 中国环境科学出版社, 2009. [11] 交通运输部. 水上溢油环境风险评估技术导则: JT/T 1143—2017[S]. 北京: 人民交通出版社, 2017. [12] 岳汉秋, 甘鑫平, 牟乃夏, 等. 海上船舶溢油事故模糊评估与决策分析[J]. 环境工程学报,2015,9(8):3780-3784.YUE H Q, GAN X P, MU N X, et al. Fuzzy evaluation and decision-making analysis of oil spills from ships[J]. Chinese Journal of Environmental Engineering,2015,9(8):3780-3784. [13] 张晓霞, 郑丙辉, 汪星, 等. 辽东湾近岸海域石化产业环境风险综合评价[J]. 环境工程技术学报,2022,12(1):275-283.ZHANG X X, ZHENG B H, WANG X, et al. Comprehensive environmental risk assessment of petrochemical industry in Liaodong Bay coastal waters[J]. Journal of Environmental Engineering Technology,2022,12(1):275-283. [14] 陈昊, 卢士强, 邵一平, 等. 基于敏感目标被访问概率法的长江口水域溢油风险区划研究[J]. 环境工程技术学报,2023,13(1):47-53.CHEN H, LU S Q, SHAO Y P, et al. Study on oil spill risk zoning in the Yangtze River Estuary based on the visited probability method of sensitive targets[J]. Journal of Environmental Engineering Technology,2023,13(1):47-53. [15] 汪守东, 徐洪磊, 程金香, 等. 舟山海域油品码头布局与溢油风险评估[J]. 水运工程,2016(8):26-33.WANG S D, XU H L, CHENG J X, et al. Oil dock layout at Zhoushan sea area & oil spilling risk assessment[J]. Port & Waterway Engineering,2016(8):26-33. [16] MOE K A, SKEIE G M, BRUDE O W, et al. The svalbard intertidal zone: a concept for the use of GIS in applied oil sensitivity, vulnerability and impact analyses[J]. Spill Science & Technology Bulletin,2000,6(2):187-206. [17] 邴磊. 基于遥感和GIS的海上溢油风险识别及区划研究[D]. 北京: 中国科学院大学, 2019. [18] 交通运输部规划研究院. 国家重大海上溢油应急能力建设规划(2015—2020年) [A]. 北京: 交通运输部规划研究院, 2015. [19] 交通运输部规划研究院. 国家重大海上溢油应急能力发展规划(2021—2035年)[A]. 北京: 交通运输部规划研究院, 2022. [20] 田璐, 张敖木翰, 张翼, 等. 船舶AIS大数据资源管理及分析应用架构设计[J]. 交通运输研究,2019,5(5):31-40.TIAN L, ZHANG A M H, ZHANG Y, et al. Ship AIS big data management, analysis and application architecture design[J]. Transport Research,2019,5(5):31-40. [21] ZHANG L Y, MENG Q, FWA T. Big AIS data based spatial-temporal analyses of ship traffic in Singapore Port waters[J]. Transportation Research Part E:Logistics and Transportation Review,2019,129:287-304. doi: 10.1016/j.tre.2017.07.011 [22] 交通运输部. 2014年交通运输行业发展统计公报[EB/OL]. (2015-04-30)[2023-09-03]. https://www.gov.cn/xinwen/2015-04/30/content_2855735.htm. [23] 交通运输部. 2020年交通运输行业发展统计公报[EB/OL]. (2021-05-19)[2023-09-03]. https://xxgk.mot.gov.cn/2020/jigou/zhghs/202105/t20210517_3593412.html. [24] 王成金, 张梦天, 程佳佳. 离岸枢纽港口的发展模式与机理: 以洋山深水港为例[J]. 经济地理,2016,36(6):100-108.WANG C J, ZHANG M T, CHENG J J. Spatial pattern of offshore hub port and development mechanism: the case of Yangshan Port in Mainland China[J]. Economic Geography,2016,36(6):100-108. ⊕