Statistical-Physical Estimation of Pollution Emission
Statistical-Physical Estimation of Pollution Emission
复制标题
污染排放的统计物理估算
DOI：
10.5705/ss.202016.0162
复制
发表时间：
2018
影响因子：
1.4
通讯作者：
K. Yeo
中科院分区：
文献类型：
--
作者：
Emre Barut;Youngdeok Hwang;K. Yeo
空气污染是由非局地动态驱动的，其中某个地点的空气质量取决于大气过程将污染物从遥远的污染排放源输送到该地点的情况。为了了解污染产生的根本性质，利用物理知识来解释风造成的污染输送至关重要。然而，在大多数情况下，利用物理模型来获取有用信息是不可能的，因为它需要大量的校准和计算。在本文中，我们提出了一种利用物理知识和观测数据来估计感兴趣领域的污染排放的方法。所提出的方法使用有效的优化算法来估计每个空间位置的发射，同时结合物理知识。我们通过模拟实际应用的模拟研究证明了新方法的有效性。
Air pollution is driven by non-local dynamics, in which air quality at a site is determined by transport of pollutants from distant pollution emission sources to the site by atmospheric processes. In order to understand the underlying nature of pollution generation, it is crucial to employ a physical knowledge to account for the pollution transport by wind. However, in most cases, it is not possible to utilize the physics models to obtain useful information, as it requires massive calibration and computation. In this paper, we propose a method to estimate the pollution emission from the domain of interest, by using both the physical knowledge and observed data. The proposed method uses an efficient optimization algorithm to estimate the emission from each of the spatial locations, while incorporating the physics knowledge. We demonstrate the effectiveness of the new method through a simulation study that mimics the real application.
影响因子：
1.4
作者：
Simon N;Tibshirani R
通讯作者：
Tibshirani R