人工智能用于改善阿布扎比环境局地面站的二氧化预测
1Biomedical Engineering, Khalifa University, Abu Dhabi, United Arab Emirates.
Journal of big data
|June 12, 2023
概括
这项研究比较了先进的AI模型来预测二氧化 (NO2) 空气污染. 变压器模型显著优于其他模型,在预测NO2水平方面表现出卓越的准确性.
科学领域:
- 环境科学 环境科学
- 数据科学数据科学数据科学
- 人工智能的人工智能
背景情况:
- 二氧化 (NO2) 是一种有害的空气污染物,与严重的健康问题有关.
- 预测NO2度对于公共卫生和环境管理至关重要.
- 先进的机器学习和深度学习技术为改善NO2预测提供了潜力.
研究的目的:
- 弥合应用最先进的人工智能模型用于NO2度预测的研究差距.
- 为了比较各种先进的人工智能模型的性能,以前没有用于NO2预测.
- 分析不同监测站的NO2时间趋势.
主要方法:
- 利用了阿联 (环境署-阿布扎比) 20个地面站的NO2数据.
- 员工时间序列交叉验证在滚动的基础上进行模型培训和测试.
- 应用季节性曼-肯达尔趋势测试和森的斜率估计器进行趋势分析.
- 我们比较了变压器,LSTM,InceptionTime,ResNet,XceptionTime和MiniRocket模型的预测性能.
主要成果:
- 地理位置影响了NO2度水平.
- 对于大多数站点来说,观察到每年NO2的统计显著下降趋势.
- 每日和每周的NO2模式在各个车站都是一致的,在清晨和第一个工作日达到峰值.
- 与其他车型相比,变压器模型表现出更高的性能 (MAE:0.04,MSE:0.06,RMSE:0.001,R2:0.98).
结论:
- 变压器模型显示了准确NO2预测的巨大潜力.
- 实施先进的人工智能模型可以增强空气质量监测和管理系统.
- 了解时间NO2模式对于有效的环境政策至关重要.
更多相关视频
10:29Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers
Published on: March 21, 2016
12.4K
07:13Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
Published on: February 25, 2021
3.9K
相关概念视频
01:27Air-entraining Agents
97
Air-entraining agents improve the durability and workability of concrete in climates with frequent freezing and thawing. These agents prevent cracks by introducing small air bubbles into the mix, creating spaces accommodating water expansion when temperatures drop. The air-entraining agents lower the surface tension of water, forming stable, small air bubbles. This method is more effective than having accidental large voids, as the intentional, smaller, and evenly distributed air voids improve...
97
01:18Variation of Atmospheric Pressure
2.3K
Change in atmospheric pressure with height is particularly interesting. The decrease in atmospheric pressure with increasing altitude is due to the decreasing gravitational force per unit area as we move away from the surface of the earth.
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
Assuming the air temperature is constant at a given altitude and that the ideal gas law of thermodynamics describes the atmosphere to a good approximation, one can find the variation of atmospheric pressure with height.
Let p(y) be the atmospheric pressure at...
2.3K