基于卫星的评估和预测印度大城市的温室气体 (GHG) 度,使用先进的统计方法
Adarsh Alagade1, Manoranjan Sahu2,3,4
1Environmental Science and Engineering Department, Indian Institute of Technology Bombay, 507, Aerosol and Nanoparticle Technology Laboratory, Mumbai, 400076, India.
概括
卫星数据为监测印度大城市的二氧化碳 (CO2) 和甲 (CH4) 等温室气体 (GHG) 排放提供了可行的解决方案. 这种方法有助于了解城市排放,并为气候变化缓解战略提供信息.
科学领域:
- 环境科学 环境科学
- 大气科学 大气科学
- 遥感 遥感 遥感 遥感
背景情况:
- 气候变化需要准确的温室气体 (GHG) 监测.
- 由于有限的地面站,印度在直接温室气体测量方面面临挑战.
- 大城市的城市排放需要有针对性的监测,以制定有效的气候战略.
研究的目的:
- 评估卫星数据对孟买和德里的CO2和CH4监测的潜力.
- 评估OCO-2和Sentinel-5前体数据与地面TCCON测量数据的可靠性.
- 应用时间序列预测模型用于城市温室气体排放预测.
主要方法:
- 轨道碳观测站-2 (OCO-2) 的二氧化碳数据与总碳柱观测网络 (TCCON) 的测量数据的比较.
- 对Sentinel-5前体CH4数据与TCCON地面观测数据进行分析.
- 季节性自回归集成移动平均线 (SARIMA) 模型用于CO2和CH4预测的应用.
主要成果:
- OCO-2和Sentinel-5的数据显示了城市CO2和CH4监测的潜力.
- 在孟买,SARIMA模型实现了高精度的二氧化碳预测 (MAE:2.1 ppm,RMSE:2.72 ppm).
- 在孟买和德里,SARIMA模型对CH4预测表现出有希望 (MAE:7.788.3ppb,RMSE:10.3711.92ppb).
结论:
- 卫星数据与预测模型相结合,对于监测印度城市温室气体排放非常有价值.
- 研究结果支持使用遥感来了解孟买等城市的二氧化碳动态.
- 该研究强调,鉴于城市温室气体度不断上升,迫切需要采取气候行动.
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