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利用遥感数据及其分散和源分配研究分析煤田原地煤火在温室气体排放中的作用。

Analyzing the role of in situ coal fire in greenhouse gases emission in a coalfield using remote sensing data and their dispersion and source apportionment study.

机构信息

Department of Mining Engineering, National Institute of Technology Rourkela, Odisha, 769008, India.

出版信息

Environ Monit Assess. 2022 May 10;194(6):413. doi: 10.1007/s10661-022-10057-0.

Abstract

In situ coal fires significantly pollute the environment in many countries of the world. Monitoring these pollutants is challenging due to extensive area coverage and spatial variations. Thus, the present study demonstrates the method of deriving the spatial and temporal profiles of columnar density of three major greenhouse gases (carbon monoxide (CO), sulfur dioxide (SO), and nitrogen dioxide (NO)) in an in situ coal fire region (Jharia coalfield (JCF), India) using high-resolution satellite data (TROPOMI) of the European Space Agency (ESA). The study also demonstrates a new methodology for estimating greenhouse gas emissions from in situ coal burning. JCF is one of the significant polluted mining regions with multiple in situ coal fire pockets. The columnar density of the gaseous pollutants in the mining region was compared with the same in the rural, urban, and forest regions to identify the major emission inventories. The study results indicated that coal fire is the major source of CO emission in the region, as the CO was high in the fire regions compared to that of the non-fire regions. But, the major source of NO is the traffic, as the NO was high in the city area as compared to other regions. The spatial profile of SO does not reveal the specific emission sources. The study results indicated that TROPOMI onboard satellite sensors could be effectively used for deriving the spatial profiles of greenhouse gaseous in coal fire regions, which further assist in identifying the emission inventories. Furthermore, the satellite-based Earth observations offer information to understand and manage the greenhouse gas emissions over a large area.

摘要

原地煤矿火灾在世界许多国家造成了严重的环境污染。由于覆盖范围广和空间变化大,监测这些污染物具有挑战性。因此,本研究展示了一种利用欧洲航天局(ESA)高分辨率卫星数据(TROPOMI)获取原地煤矿火灾地区(印度Jharia 煤田(JCF))三种主要温室气体(一氧化碳(CO)、二氧化硫(SO)和二氧化氮(NO))柱密度时空分布的方法。该研究还展示了一种估算原地煤燃烧温室气体排放的新方法。JCF 是印度多个原地煤矿火灾区中污染最严重的矿区之一。将矿区的气态污染物柱密度与农村、城市和森林地区的同一柱密度进行比较,以确定主要排放清单。研究结果表明,煤火是该地区 CO 排放的主要来源,因为火灾地区的 CO 浓度高于非火灾地区。但 NO 的主要来源是交通,因为与其他地区相比,城市地区的 NO 浓度较高。SO 的空间分布特征并未揭示出特定的排放源。研究结果表明,卫星搭载的 TROPOMI 传感器可有效用于获取煤矿火灾地区温室气体的空间分布,从而进一步协助识别排放清单。此外,基于卫星的地球观测为了解和管理大面积温室气体排放提供了信息。

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