基于海洋功能区划的海域开发利用承载力评价——以津冀海域为例

发布时间：2018-08-12 20:18

【摘要】：海洋功能区划是海域法确定的海域开发利用的重要依据。本文针对海域开发利用管理的技术需求,采用专家咨询法,确定海域使用分类8个一级类型所包含的30个二级类型的资源耗用系数,构建了海域开发利用强度指数及海域开发利用评价标准,以此为基础形成了基于海洋功能区划的海域开发利用承载力指数,并以津冀海域为例开展了实证评价研究。结果表明:1以海洋功能区划为依据的海域开发利用承载力评价方法可客观地揭示海域开发利用承载力程度。2津冀海域的曹妃甸海域、天津滨海新区海域和黄骅海域开发利用承载力指数分别达到10.30、13.87和10.30,处于承载力较高状态;昌黎海域开发利用承载力指数为7.61,处于承载力适中状态;其余的秦皇岛市区、抚宁县、乐亭县、滦南县和丰南区海域开发利用承载力指数都小于5.0,处于承载力较低状态。
[Abstract]:Marine functional zoning is an important basis for the development and utilization of sea area determined by sea area method. In this paper, according to the technical demand of the development and utilization management of the sea area, the resource consumption coefficient of 30 secondary types, which is included in the 8 primary types of the sea area use classification, is determined by using the method of expert consultation. The intensity index of exploitation and utilization of sea area and the evaluation standard of exploitation and utilization of sea area are constructed. Based on this, the index of carrying capacity of exploitation and utilization of sea area based on marine functional regionalization is formed, and the empirical evaluation research is carried out in the waters of Tianjin and Hebei. The results show that the evaluation method of the carrying capacity of exploitation and utilization of the sea area based on the marine functional regionalization can objectively reveal the extent of the carrying capacity of exploitation and utilization in the Caofeidian sea area of the waters of Tianjin, Hebei and Hebei. The development and utilization carrying capacity indexes of Tianjin Binhai New area and Huanghua Sea area are 10.300.87 and 10.30 respectively, which are in a high bearing capacity state; Changli Sea area is 7.61, which is in a moderate state of carrying capacity; the rest of Qinhuangdao District, Funing County, The carrying capacity index of exploitation and utilization in Leting County, Luannan County and Fengnan District is less than 5.0, and it is in a low bearing capacity state.
【作者单位】：国家海洋环境监测中心;国家海洋局海域管理技术重点实验室;
【基金】：国家自然科学基金项目(41376120) 中国科学院科技服务网络计划(STS计划)项目(KFJ-STS-ZDTP-021)~~
【分类号】：P74

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