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Detecting gas flares and estimating flaring volumes at individual flow stations using MODIS data

机译:使用MODIS数据检测火炬并估算各个流动站的火炬体积

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Gas flaring has gained global recognition as a prominent agent of pollution, leading to the establishment of the Global Gas Flaring Reduction (GGFR) initiative, which requires an objective means of monitoring flaring activity. Because auditable information on flaring activity is difficult to obtain there have recently been attempts to detect flares using satellite imagery, typically at global scales. However, to adequately assess the environmental and health impacts of flaring from local to regional scales, it is important that we have a means of acquiring information on the location of individual active flaring sites and the volume of gas combusted at these sites. In this study we developed an approach to the retrieval of such information using nighttime MODIS thermal imagery. The MODIS flare detection technique (MODET) and the MODIS flare volume estimation technique (MOVET) both exploit the absolute and contextual radiometric response of flare sites. The levels of detection accuracy and estimation error were quantified using independent observations of flare location and volume. The MODET and MOVET were applied to an archive of MODIS data spanning 2000-2014 covering the Niger Delta, Nigeria, a significant global hotspot of flaring activity. The results demonstrate the substantial spatial and temporal variability in gas flaring across the region, between states and between onshore and offshore sites. Thus, whilst the estimated total volume of gas flared in the region over the study period is large (350 Billion Cubic Metres), the heterogeneity in the flaring indicates that the impacts of such flares will be highly variable in space and time. In this context, the MODET and MOVET offer a consistent and objective means of monitoring flaring activity over an appropriate range of scales and it is now important that their robustness and transferability is tested in other oil-producing regions of the world. (C) 2014 Elsevier Inc All rights reserved.
机译:气体燃烧作为污染的主要推动者已获得全球认可,导致建立了全球减少气体燃烧(GGFR)计划,该计划需要一种客观的方法来监测燃烧活动。由于难以获得有关燃烧行为的可审核信息,因此最近尝试使用卫星图像来检测耀斑,通常是在全球范围内。但是,要充分评估地方火炬燃烧对环境和健康的影响,重要的是,我们必须拥有一种方法,以获取有关单个活动火炬发电厂的位置以及在这些场所燃烧的气体量的信息。在这项研究中,我们开发了一种使用夜间MODIS热图像检索此类信息的方法。 MODIS耀斑检测技术(MODET)和MODIS耀斑体积估计技术(MOVET)都利用了耀斑站点的绝对和上下文辐射测量响应。使用火炬的位置和体积的独立观测来量化检测准确性和估计误差的水平。 MODET和MOVET已应用于覆盖2000-2014年的MODIS数据存档,该数据覆盖了尼日利亚的尼日尔三角洲,这是全球火炬燃烧活动的重要热点。结果表明,整个地区,各州之间以及陆上和海上站点之间的天然气燃烧有很大的时空变化。因此,尽管在研究期间该地区火炬的估计总气体量很大(3500亿立方米),但火炬的异质性表明,这些火炬的影响在空间和时间上会高度变化。在这种情况下,MODET和MOVET提供了一种一致且客观的手段,可以在适当的规模范围内监控火炬的活动,现在重要的是,它们的坚固性和可转移性已在世界其他产油区进行了测试。 (C)2014 Elsevier Inc保留所有权利。

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