象山县无人机航线环境影响评估数据
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无人机航线环境影响评估数据可为城市低空交通规划提供科学决策支持。通过对航线周边噪声、电磁辐射、生态敏感区等多维环境参数的动态监测与量化分析，帮助交通管理部门精准识别高环境风险航线段落，优化无人机飞行高度、时段和路径规划。模型实施后能有效降低无人机运行对居民区、野生动物栖息地等敏感区域的干扰，同时促进运营商采用更环保的飞行策略和设备配置。这套评估体系既强化了监管部门对环境友好型低空交通的引导能力，也为平衡无人机应用效益与生态环境保护提供了标准化工具，助力城市低空经济绿色可持续发展。根据设置无人机航线唯一编号获得无人机编号；根据声学检测报告数据获得噪声污染指数（分贝）Na；根据频谱分析数据获得电磁辐射强度（微瓦/平方厘米）J3；根据鸟类雷达监测数据获得鸟类惊扰频次(次/小时)Ma；根据气体传感器中燃油动力机型二氧化碳排放量数据获得尾气排放浓度（百万分比浓度）X；根据无人机夜视摄像头分析数据获得光污染等级J1；根据无人机风流模拟数据系统获得气流扰动范围（米）S；根据无人机拍摄数据分析报告获得植被破坏面积（平方米）J2；根据无人机航线空域电子围栏范围数据获得敏感区域侵入距离（米）Ac；所有采集汇总数据先通过线性加权法进行计算：Y=100-NaX0.7-J3X0.3-MaX1.2-XX0.8-J1X4-SX0.5-J2X2-AcX0.1，最终获得象山县无人机航线环境影响评估值，当评估值>=60分，为优良，可在此航线开展常态化飞行任务；当评估值在30-59分，为一般，需要定期进行航线环境监测任务；当评估值在0-29分，为较差环境，需要限制飞行频次并且进行航线重新评估；当评估值<0分，恶劣环境，需要禁止此航线，无人机需要规避此区域进行飞行。
UAV route environmental impact assessment datasets offer scientific decision support for urban low-altitude traffic planning. By conducting dynamic monitoring and quantitative analysis of multi-dimensional environmental parameters including noise, electromagnetic radiation, and ecologically sensitive areas along the route, this dataset assists traffic management authorities in accurately identifying high-environmental-risk route segments and optimizing UAV flight altitude, flight time windows, and path planning. Upon deployment of the assessment model, it effectively mitigates the interference caused by UAV operations to sensitive areas such as residential districts and wildlife habitats, while encouraging operators to adopt more eco-friendly flight strategies and equipment configurations. This assessment framework not only enhances the regulatory authorities' capacity to guide eco-friendly low-altitude traffic, but also offers standardized tools for balancing the economic benefits of UAV applications and ecological environmental protection, thereby facilitating the green and sustainable development of the urban low-altitude economy. Specific data collection rules are as follows: obtain the UAV identification number based on the set unique route number of the UAV route; obtain the noise pollution index (decibel) Na from acoustic test report data; obtain the electromagnetic radiation intensity (microwatts per square centimeter) J3 from spectrum analysis data; obtain the bird disturbance frequency (times per hour) Ma from bird radar monitoring data; obtain the exhaust emission concentration (parts per million, ppm) X from the carbon dioxide emission data of fuel-powered UAV models collected by gas sensors; obtain the light pollution level J1 from the analysis data of UAV night vision cameras; obtain the airflow disturbance range (meter) S from the UAV airflow simulation system; obtain the vegetation damage area (square meter) J2 from the UAV aerial photography data analysis report; obtain the sensitive area intrusion distance (meter) Ac from the UAV route airspace electronic fence range data. All collected and aggregated data are calculated using the linear weighting method: Y = 100 - Na × 0.7 - J3 × 0.3 - Ma × 1.2 - X × 0.8 - J1 × 4 - S × 0.5 - J2 × 2 - Ac × 0.1. The final environmental impact assessment value of UAV routes in Xiangshan County is obtained. The rating criteria are as follows: if the assessment score is ≥60, the route is rated as "Excellent", and regular flight operations may be conducted thereon; if the assessment score ranges from 30 to 59, the route is rated as "General", and periodic environmental monitoring of the route is required; if the assessment score ranges from 0 to 29, the route is rated as "Poor", and flight frequency must be restricted while a re-assessment of the route is needed; if the assessment score is <0, the route is classified as "Severely Poor", and flight on this route must be prohibited, with UAVs avoiding this airspace.
