北纬30度东经120度采样点空气温度比较数据

空气温度变化率可用于了解采样点所在区域的温度变化情况，为环境监测和评估提供重要依据。在城市环境监测中，空气温度变化率可以作为评估城市热岛效应的一个有效指标。高温度变化率可能意味着城市区域相对于周边乡村或自然区域存在显著的热岛效应，这对于城市规划、绿色建筑设计和城市气候适应策略的制定具有重要意义。其次，在某些情况下，工业排放、交通尾气等污染源可能导致局部空气温度异常升高。通过监测空气温度变化率，可以辅助识别潜在的污染源位置，为环保部门提供污染源追踪和控制的线索。在实施污染治理措施后，空气温度变化率的变化情况可以作为评估污染治理效果的一个重要参考。如果温度变化率显著下降，可能意味着污染源得到有效控制，空气质量得到改善。1数据采集：根据气象学标准，设置专业气象采集点，采集实时温度数据，时间做到以每小时为间隔，全年365天不间断采集；2数据处理：将数据去噪、优化、补全；3数据加工：通过将2023年和2022年同一月份同一天同一时刻的数据进行比较，得出23年相较于22年同期空气温度变化率。

The rate of change in air temperature is a critical metric for understanding temperature fluctuations in the vicinity of sampling points, providing vital support for environmental monitoring and evaluation. In urban environmental monitoring, the air temperature change rate serves as an effective indicator for assessing urban heat island effects. A high temperature change rate may signal a prominent urban heat island effect in urban areas relative to surrounding rural or natural regions, which holds significant importance for urban planning, green building design, and the development of urban climate adaptation strategies.

Secondly, under certain circumstances, pollution sources such as industrial emissions and vehicle exhaust can cause abnormal local rises in air temperature. Monitoring the air temperature change rate can assist in identifying potential pollution source locations, offering clues for environmental protection departments to track and control pollution sources. After implementing pollution control measures, changes in the air temperature change rate can act as an important reference for evaluating the effectiveness of pollution control efforts. A significant decrease in the temperature change rate may indicate that pollution sources have been effectively controlled and air quality has been improved.

1. Data Collection: Professional meteorological monitoring stations are established in accordance with meteorological standards to collect real-time temperature data at hourly intervals, with uninterrupted 365-day annual collection.
2. Data Processing: The collected data will undergo denoising, optimization, and completion.
3. Data Calculation: By comparing the data from the same month, day, and time in 2023 and 2022, the air temperature change rate of 2023 relative to the corresponding period in 2022 is derived.

搜集汇总

数据集介绍

特点

该数据集包含北纬30度东经120度采样点的空气温度数据，每小时更新一次，全年不间断采集，共计8766条数据。数据应用于环境监测、城市热岛效应评估和污染源追踪等场景，通过比较2022年和2023年同期数据计算温度变化率。