大气SO_2卫星遥感监测技术及其研究进展

Satellite remote-sensing monitoring technology and the research advances of SO_2 in the atmosphere

首先介绍了遥感反演大气SO2的主要方法和原理,分析了遥感监测大气SO2的特点:可快速获取大范围SO2数据,受限制条件少,更适合于研究大气SO2总量及其空间分布规律。从大气SO2监测的遥感平台、传感器、数据应用研究等方面总结了卫星遥感监测大气SO2的研究进展。最后对遥感监测大气SO2存在的一些问题进行了探讨,提出提高探测器精度,改善反演算法和加强地面同步观测是遥感监测大气SO2的发展方向。

In this paper, we would like to introduce at first two inverse research methods of SO2 in the atmosphere, that is, the Band Residual Difference （BDF）algorithm and the Linear Fit （LF）, and then, try to make a detailed analysis of the ways of how to better monitor the spatial distribution of SO2 by means of satellite remote sensing technology, that is, how for the scientists to understand the pollution characteristic features in a wide range and then successfully prevent the atmosphere from being polluted. As we know, if the con- centration of SO2 becomes less than 10 DU, the BRD algorithm would like to be more precise than LF, otherwise LF would be better than BRD. Secondly, this paper intends to analyze the characteristic features of remote sensing monitoring technology in monitoring SO2. for it helps to collect data as fast as it can in the almost unlimited range. In addition, the technology helps to measure SO2 both horizontally and vertically at the same time, while the traditional methods can only measure data on SO2 in a small range at a limited height. In addition, the paper has also made a conclusion that the research advances in this way may include four kinds of sensors： TOMS （Total Ozone Mapping Spectrometer）, GOME （Global Ozone Monitoring Experiment）, the SCIAMACHY（ Scanning Imaging Absorption Spectrometer for Atmospheric Chartography）and OMI （Ozone Monitoring Instrument）, as compared with other kinds of sensors. Whereas OMI is featured in higher spectral resolution and higher spatial resolution, OMI turns to be a heritage instrument of the GOME and SCIAMACHY, involving the concept of measuring the complete spectrum in the ultraviolet/visible/or near-infrared （UV/VIS/NIR）wavelength with a much higher spectral resolution （13 km × 24 km）and daily global coverage. Last of all, we have also made a discussion of such problems of remote sensing monitoring of SO2, as the lower spatial and temporal resolution, lack of enough effective precision testing methods, etc. We have also given a commentary on the perspective of the likely developmental trends of the remote sensing monitoring of atmospheric SO2, believing that the main trend of sensing monitoring of atmospheric SO2 in the future is likely to heighten the accuracy of detection, improve the retrieval algorithm and enhance the synchronization ground-based measurements.