Prospect of Offshore Floating Photovoltaic wind_tech D1

发布：2026-06-09 · 事件：2026-06-09

基于鸟类行为-风机参数交互影响的海上风电场鸟击风险预测 林晋宏 , 陈振亮 , 王送林 , 陈全将 , 林鑫磊 , 李卫福 Prediction of Bird Collision Risks in Offshore Wind Farms Based on the Interaction Between Bird Behavior and Wind Turbine Parameters LIN J...

风电安全

基于鸟类行为-风机参数交互影响的海上风电场鸟击风险预测 林晋宏 , 陈振亮 , 王送林 , 陈全将 , 林鑫磊 , 李卫福 Prediction of Bird Collision Risks in Offshore Wind Farms Based on the Interaction Between Bird Behavior and Wind Turbine Parameters LIN Jinhong , CHEN Zhenliang , WANG Songlin , CHEN Quanjian , LIN Xinlei , LI Weifu Article Text (iFLYTEK Translation) × Close Disclaimer The English version of this article is automatically generated by iFLYTEK Translation and only for reference. We therefore are not responsible for its reasonableness, correctness and completeness, and will not bear any commercial and legal responsibilities for the relevant consequences arising from the English translation. Do not remind me again Cancel Confirm 摘要 HTML全文 图 (3) 表 (3) 参考文献 (20) 相关文章 施引文献 资源附件 (0) 摘要 摘要: 目的 针对海上风电场开发与鸟类保护的矛盾问题，本研究旨在构建基于鸟类行为-风机参数交互影响的风险预测模型，揭示鸟类活动时空规律与碰撞风险机制，为生态友好型风电开发提供科学决策依据。 方法 以某近海风电场为研究对象，采用直接计数法、高清摄影与地理信息系统（GIS）技术开展为期12个月的鸟类活动监测，记录了36种水鸟的种群动态与生境偏好特征。基于泊松分布构建鸟击概率模型，量化季节、飞行高度与风机运行参数的交互效应，提出风险分级评价方法。 结果 研究表明：（1）鸟类活动呈现显著季节性差异，夏季为风险高峰期（白鹭累计540只、环颈鸻累计18只），鸟击概率超50%，集中于叶片中下部20～50 m区域；（2）飞行高度与体重呈负相关（R 2 =0.87），但迁徙期高飞行为打破此规律，导致风险分布偏移；（3）建立的泊松模型可量化风险强度系数（Σλ=749），精准识别高风险时段（8月）与核心物种（白鹭贡献率97%）。 结论 研究成果为海上风电项目环境影响评价提供定量化工具，推动能源开发与生物多样性保护协同发展。 Abstract: Objective To address the conflict between offshore wind farm development and bird conservation, this study establishes a risk prediction model based on bird behavior-wind turbine parameter interactions, revealing spatiotemporal patterns of bird activity and collision mechanisms, thereby providing scientific decision-making support for eco-friendly wind power development. Method Focusing on a coastal wind farm, we conducted 12-month bird activity monitoring using direct counting, high-definition photogrammetry, and GIS technology, and documented population dynamics and habitat preferences of 36 waterbird species. A Poisson distribution-based bird collision probability model was developed to quantify the interaction between season, flight altitude, and turbine operation parameters, and a risk stratification evaluation method was proposed. Result The results show that, 1) Bird activity has significant seasonal variations, and summer is the high-risk period (540 egrets and 18 plovers in total) showing >50% collision probability concentrated at 20-50 m area in the middle and bottom part of the blade; 2) The flight altitude is negatively correlated with body weight (R 2 =0.87), except for high-altitude flying behavior in migration period, which causes risk distribution shifts; 3) The Poisson model can effectively quantify risk intensity coefficients (Σλ=749), and accurately identify high-risk periods (August) and key species (egrets contributing 97%). Conclusion This study provides quantitative tools for environmental impact assessment of offshore wind power projects, facilitating synergistic development of energy exploitation and biodiversity conservation. HTML全文 参考文献 (20) 相关文章 施引文献 资源附件 (0)