【摘要】 鉴于海上风电场用海范围大和港口水域交通繁忙的特点，船舶航行在海上风电场影响下的港口水域会面临较大的船舶碰撞风险，而船舶航路的规划能够有效保障海上风电场水域船舶进出港航行安全。目前，国内外对于海上风电场影响下的港口航路评价缺乏一定的研究。结合海上风电场对船舶航行的影响以及港口水域自身特点，分析影响航路评价的主要因素。将海上风电场通航影响因素作为一级指标，并改进传统风、流指标，定义推离风电场为优，推向风电场为劣，将风、流推离指数作为二级评价指标，建立了包含14个二级指标的评价指标体系。采用可靠性较高的最优最劣(BWM)和CRITIC结合的组合赋权法对评价指标进行权重赋值，以降低主观赋值带来的不利偏差。通过灰色关联法量化TOPSIS模型多属性之间的相互关联程度，建立基于灰色关联法改进的逼近于理想解排序模型，对海上风电场影响下的港口航路方案进行综合评估。最后以乳山港航路规划项目为例，对海上风电场影响下的港口航路方案进行综合评价。与实例结果对比，验证了评价指标体系与评价方法的可行性与有效性。更多还原

【Abstract】 In view of the particularity of wind farms and port water, ships sailing in the port water under the influence of wind farms will face greater risk of water traffic accidents. The optimization of routes can effectively improve the safety of ships sailing in the water. At present, there is a lack of some research on the evaluation of routes in port water under the influence of wind farms. The paper combined the influence of wind farms and the characteristics of port water, and analyzed the main factors that were affecting the evaluation of routes. The influence of the wind farms were taken as the one-leve indicator. The traditional wind and flow indicators were improved by defining that pushing the ships to wind farms was worse, pushing the ship off the wind farms was better. An evaluation index system including 14 second-level indicators was established, and the subjective and objective weights were calculated by BWM-CRITIC method that was reducing the adverse bias caused by the subjective assignment. The degree of intercorrelation between the multiple properties of the TOPSIS model was quantified by the grey association method. The TOPSIS-GRA model was established to comprehensively evaluate the routes in port water under the influence of wind farms. Finally, taking the Rushan Port as an example, the routes in Rushan Port water under the influence of wind farms were optimized and evaluated. Compared with the results, the feasibility and effectiveness of the evaluation index system and evaluation method are verified.更多还原