Cargando…
On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space
An effective characterization of gas flaring is hampered by the lack of systematic, complete and reliable data on its magnitude and spatial distribution. In the last years, a few satellite methods have been developed to provide independent information on gas flaring activity at global, national and...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111741/ https://www.ncbi.nlm.nih.gov/pubmed/30061519 http://dx.doi.org/10.3390/s18082466 |
_version_ | 1783350720805732352 |
---|---|
author | Faruolo, Mariapia Lacava, Teodosio Pergola, Nicola Tramutoli, Valerio |
author_facet | Faruolo, Mariapia Lacava, Teodosio Pergola, Nicola Tramutoli, Valerio |
author_sort | Faruolo, Mariapia |
collection | PubMed |
description | An effective characterization of gas flaring is hampered by the lack of systematic, complete and reliable data on its magnitude and spatial distribution. In the last years, a few satellite methods have been developed to provide independent information on gas flaring activity at global, national and local scale. Among these, a MODIS-based method, aimed at the computation of gas flared volumes by an Italian plant, was proposed. In this work, a more general version of this approach, named RST-FLARE, has been developed to provide reliable information on flaring sites localization and gas emitted volumes over a long time period for the Niger Delta region, one of the top five gas flaring areas in the world. Achieved results showed a good level of accuracy, in terms of flaring sites localization (95% of spatial match) and volume estimates (mean bias between in 16% and 20%, at annual scale and 2–9% in the long period) when compared to independent data, provided both by other satellite techniques and national/international organizations. Outcomes of this work seem to indicate that RST-FLARE can be used to provide, at different geographic scales, quite accurate data on gas flaring, suitable for monitoring purposes for governments and local authorities. |
format | Online Article Text |
id | pubmed-6111741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61117412018-08-30 On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space Faruolo, Mariapia Lacava, Teodosio Pergola, Nicola Tramutoli, Valerio Sensors (Basel) Article An effective characterization of gas flaring is hampered by the lack of systematic, complete and reliable data on its magnitude and spatial distribution. In the last years, a few satellite methods have been developed to provide independent information on gas flaring activity at global, national and local scale. Among these, a MODIS-based method, aimed at the computation of gas flared volumes by an Italian plant, was proposed. In this work, a more general version of this approach, named RST-FLARE, has been developed to provide reliable information on flaring sites localization and gas emitted volumes over a long time period for the Niger Delta region, one of the top five gas flaring areas in the world. Achieved results showed a good level of accuracy, in terms of flaring sites localization (95% of spatial match) and volume estimates (mean bias between in 16% and 20%, at annual scale and 2–9% in the long period) when compared to independent data, provided both by other satellite techniques and national/international organizations. Outcomes of this work seem to indicate that RST-FLARE can be used to provide, at different geographic scales, quite accurate data on gas flaring, suitable for monitoring purposes for governments and local authorities. MDPI 2018-07-30 /pmc/articles/PMC6111741/ /pubmed/30061519 http://dx.doi.org/10.3390/s18082466 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Faruolo, Mariapia Lacava, Teodosio Pergola, Nicola Tramutoli, Valerio On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space |
title | On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space |
title_full | On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space |
title_fullStr | On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space |
title_full_unstemmed | On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space |
title_short | On the Potential of the RST-FLARE Algorithm for Gas Flaring Characterization from Space |
title_sort | on the potential of the rst-flare algorithm for gas flaring characterization from space |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111741/ https://www.ncbi.nlm.nih.gov/pubmed/30061519 http://dx.doi.org/10.3390/s18082466 |
work_keys_str_mv | AT faruolomariapia onthepotentialoftherstflarealgorithmforgasflaringcharacterizationfromspace AT lacavateodosio onthepotentialoftherstflarealgorithmforgasflaringcharacterizationfromspace AT pergolanicola onthepotentialoftherstflarealgorithmforgasflaringcharacterizationfromspace AT tramutolivalerio onthepotentialoftherstflarealgorithmforgasflaringcharacterizationfromspace |