详细的城市粗度参数化用于使用地球观测数据进行人为热量流估计
Manushi M Bhatt1, Kshama Gupta1, Abhishek Danodia1
1Indian Institute of Remote Sensing, 4 Kalidas Raod, Dehradun, Uttrakhand, India.
Heliyon
|July 31, 2023
概括
人为热量 (AH) 排放对城市气候产生影响. 这项研究使用地球观测数据估计了德里的AH,发现方法3提供了更好的空间流量分布,有助于城市热管理和天气预报.
科学领域:
- 地球科学 地球科学 地球科学
- 大气科学 大气科学
- 城市气候学 城市气候学
背景情况:
- 人为热量 (AH) 排放大大改变了城市的能量平衡,这对于微气候和天气预报至关重要.
- 准确的AH估计对于城市规划和气候变化缓解战略至关重要.
研究的目的:
- 用Landsat 8地球观测 (EO) 数据估计德里的人类热量 (AH).
- 评估城市粗度参数化对AH估计的影响.
- 为了验证EO衍生的流量值与地面的大孔闪电仪 (LAS) 观测.
主要方法:
- 采用了使用EO数据进行AH计算的三种方法:单个城市粗度,基于LULC的粗度和详细的像素对像素粗度.
- 处理了三个不同的时间段的Landsat 8:2017年10月,2018年3月和2018年6月.
- 根据现场测量验证结果,并注意到EO和LAS方法之间的流量计算残留的差异.
主要成果:
- 在所有方法中,2018年6月AH平均值最高.
- 方法3,利用详细的城市参数化,证明了热流的优越空间分布.
- 净辐射和感知热流与大多数的现场测量有很好的一致性.
结论:
- 虽然方法3提供了改进的空间流量表示,但与LAS数据的结论性验证受到不同剩余计算方法的限制.
- 准确的AH估计对于制定有效的城市热应激减缓政策和改善天气预报至关重要.
- 需要进一步的研究来协调流量估计方法的差异,以获得最终的验证.
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