2014
DOI: 10.5194/nhess-14-2783-2014
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A satellite-based analysis of the Val d'Agri Oil Center (southern Italy) gas flaring emissions

Abstract: Abstract. In this paper, the robust satellite techniques (RST), a multi-temporal scheme of satellite data analysis, was implemented to analyze the flaring activity of the Val d'Agri Oil Center (COVA), the largest Italian gas and oil pre-treatment plant, owned by Ente Nazionale Idrocarburi (ENI). For this site, located in an anthropized area characterized by a large environmental complexity, flaring emissions are mainly related to emergency conditions (i.e., waste flaring), as industrial processes are regulated… Show more

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Cited by 22 publications
(35 citation statements)
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“…Therefore, VIIRS-based findings can be also compared with the ones achieved by means of the original RST-FLARE configuration. The latter is using the FRP as the satellite metric aimed at computing the gas flare emissive power [32]. The VIIRS-based RH and MODIS-based FRP values, aggregated at an annual scale, in the temporal period 2015-2019, are shown in Figure 14.…”
Section: Discussionmentioning
confidence: 99%
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“…Therefore, VIIRS-based findings can be also compared with the ones achieved by means of the original RST-FLARE configuration. The latter is using the FRP as the satellite metric aimed at computing the gas flare emissive power [32]. The VIIRS-based RH and MODIS-based FRP values, aggregated at an annual scale, in the temporal period 2015-2019, are shown in Figure 14.…”
Section: Discussionmentioning
confidence: 99%
“…Future research studies will be addressed in two directions. The MODIS-based RST-FLARE scheme is able to provide GF information for COVA since 2000, which characterizes this thermal source not only in terms of FRP but also in terms of gas volumes emitted into the atmosphere [32]. The portion of the MODIS-based configuration on the VIIRS IR Imagery bands (i.e., I4 and I5, centered at 3.74 and 11.45 µm, respectively) will be tested to guarantee the continuity of the provision of this type of information in view of assessing the possible improvements coming from the finer (i.e., 375 m versus 1000 m) spatial resolution of these data.…”
Section: Discussionmentioning
confidence: 99%
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“…With the advent of vegetation fire detection products based on mid and thermal infrared bands (MIR and TIR), flaring was highlighted as a main source of false alarms [24,25]. This feature was exploited to study flaring [26,27] and later the additional evaluation of short-wave infrared (SWIR) bands allowed for a more accurate detection [28][29][30][31][32], being at present the state-of-the-art.…”
Section: Introductionmentioning
confidence: 99%