秀洲区八字路-加创路段道路积尘负荷数据

道路积尘负荷是通过车载移动监测设备（车顶、车尾）实时采集PM2.5和PM10数据，结合气象、车流及道路特征构建算法模型，量化评估道路扬尘污染程度的核心指标。 精准治污：识别高积尘路段，指导环卫部门优化洒水、清扫频次，降低扬尘对空气质量的影响； 交通规划：为城市道路改造、重载车辆限行政策提供数据支撑，减少二次扬尘污染； 环境评估：动态监测施工区域、工业园区的道路污染扩散趋势，辅助环境督查与治理效果评价； 公众服务：预警高污染路段，提升居民出行健康保障。通过“数据驱动”助力智慧环保，实现从被动治理到源头防控的升级。道路积尘负荷是表征单位面积路面上具有道路扬尘污染潜势的道路尘土质量的指标，通过以下步骤得出： 1、数据收集：通过车载移动监测设备（车顶、车尾）进行合法收集数据，并进行脱敏、降噪、清洗、聚集、分析。 2、数据加工：移动监测设备直接采集车顶与近地面车尾PM2.5、PM 10浓度数据，根据车顶车尾差值并结合积尘负荷常数来计算输出道路积尘负荷字段。其中积尘负荷常数通过人工收集地面积尘负荷数据与移动监测数据皮尔逊相关性测试得到，为固定常数值，与监测车重量、车载移动监测系统安装等因素有关。数据结构中的状态字段N即Norml，表示收集状态正常。 道路积尘负荷数据值越大，表示道路积尘情况越严重。Road dust loading is a core indicator for quantitatively evaluating the degree of road dust pollution. It involves real-time collection of PM2.5 and PM10 data via on-board mobile monitoring equipment installed on the roof and rear of the vehicle, and constructs an algorithmic model combined with meteorological conditions, traffic flow and road characteristics. Targeted Pollution Control: Identify road sections with high dust loading, guide sanitation departments to optimize the frequency of sprinkler operations and road sweeping, and reduce the impact of road dust on air quality; Transportation Planning: Provide data support for urban road reconstruction and heavy-duty vehicle restriction policies, so as to reduce secondary dust pollution; Environmental Assessment: Dynamically monitor the diffusion trend of road pollution in construction areas and industrial parks, and assist in environmental supervision and governance effectiveness evaluation; Public Services: Issue early warnings for high-pollution road sections to improve the health protection of residents when traveling. This data-driven approach empowers smart environmental protection, realizing the upgrade from passive governance to source-oriented prevention and control. Road dust loading is an indicator that characterizes the mass of road dust per unit area of road surface with potential to cause road dust pollution. It is obtained through the following steps: 1. Data Collection: Legally collect data via on-board mobile monitoring equipment (roof and rear of the vehicle), followed by data desensitization, denoising, cleaning, aggregation and analysis. 2. Data Processing: The mobile monitoring equipment directly collects PM2.5 and PM10 concentration data from the roof and near-ground rear of the vehicle. The road dust loading field is calculated and output based on the difference between the roof and rear data combined with the dust loading constant. The dust loading constant is a fixed value obtained through the Pearson correlation test between manually collected ground dust loading data and mobile monitoring data, and is related to factors such as the weight of the monitoring vehicle and the installation of the on-board mobile monitoring system. The status field "N" stands for Normal, indicating that the data collection status is normal. The larger the value of road dust loading data, the more severe the road dust accumulation situation.