Quantifying natural geological sources of methane (CH4) allows to improve the assessment of anthropogenic emissions to the atmosphere from fossil fuel industries. The global CH4 flux of geological gas is, however, an object of debate. Recent fossil (14C-free) CH4 measurements in preindustrial-era ice cores suggest very low global geological emissions (~ 1.6 Tg year−1), implying a larger fossil fuel industry source. This is however in contrast with previously published bottom-up and top-down geo-emission estimates (~ 45 Tg year−1) and even regional-scale emissions of ~ 1–2 Tg year−1. Here we report on significant geological CH4 emissions from the Lusi hydrothermal system (Indonesia), measured by ground-based and satellite (TROPOMI) techniques. Both techniques indicate a total CH4 output of ~ 0.1 Tg year−1, equivalent to the minimum value of global geo-emission derived by ice core 14CH4 estimates. Our results are consistent with the order of magnitude of the emission factors of large seeps used in global bottom-up estimates, and endorse a substantial contribution from natural Earth’s CH4 degassing. The preindustrial ice core assessments of geological CH4 release may be underestimated and require further study. Satellite measurements can help to test geological CH4 emission factors and explain the gap between the contrasting estimates.
Methane (CH4) is a greenhouse gas 28 times more powerful than carbon dioxide (CO2) on a 100 year time horizon1. It is released to the atmosphere by both natural and anthropogenic sources, with a global emission of ~ 560 teragrams per year (Tg year−1)2,3. About 30% of this methane is fossil4, characterized by the absence of radiocarbon (14C) that is present in modern biological gas. Fossil CH4 is mostly released by fugitive emissions during oil and gas extraction and distribution, and coal mining (about 100–145 Tg year−13,5). In addition, CH4 is also naturally emitted through the Earth’s degassing via surface gas manifestations (seeps, mud volcanoes, diffuse microseepage) in petroleum-bearing sedimentary basins and geothermal areas (e.g.6). Understanding the strength of this geological source provides better constraints on the anthropogenic fossil fuel fraction5,7. Bottom-up emission estimates (based on inventories and measurements of emission factors) and top-down estimates (atmospheric and ice core data and inverse modelling) converge to a global geo-CH4 output of around 45 Tg year−1 (from 27 to 70 Tg year−1) (e.g.8). In contrast, recent estimates based on preindustrial-era ice core 14CH4 measurements suggest values one to two orders of magnitude lower (from 0.1 to 5.4 Tg year−1, with a median value of 1.6 Tg year−1)7, which would greatly increase the estimate of the anthropogenic fossil fuel fraction. Hmiel et al.7 based their study on the measurements of the amount of fossil CH4 present in the air trapped in preindustrial ice cores, and thus before the influence of hydrocarbon exploration and production. The CH4 contribution from the fossil fuel industry was inferred by assuming that the measured ice-core CH4 represents the natural geological emissions, and also expecting that this natural degassing remained relatively constant over the last few centuries.
In short, there is a large discrepancy between the geological CH4 source estimates by Hmiel et al.7 and those previously proposed by several scholars for specific types of geological sources, e.g. mud volcanoes6,9,10; microseepage11,12; and submarine seeps8,13,14. This disparity appears even more striking when considering local and regional geo-CH4 emission estimates. For example seeps in Alaska have an estimated CH4 release of 0.7–1.4 Tg year−115, while submarine seeps in the East Siberian Arctic Shelf have a total CH4 output to the atmosphere of 3 Tg year−116. The Hmiel et al.7 estimate is inconsistent with field flux measurements, since it would imply seepage emission factors one to two orders of magnitude lower than those assessed so far (for example, about 3000–6000 tonnes km−2 year−1 for mud volcanoes6).
Here, we report CH4 emissions from a single, large gas manifestation whose flux is already within the lower range of the global estimate derived by ice core 14CH4 measurements. For the first time, satellite (TROPOMI) observations are used to test and support ground-based flux measurements. The degassing site is known as Lusi (‘LUmpur’ -meaning mud in Indonesian, and ‘SIdoarjo’ -the district name), located in the northeast Java Island, Indonesia17. Lusi is a hybrid Sediment-Hosted Geothermal System (SHGS)18,19 triggered after the 27th May 2006 Java earthquake20. Numerous mud bursting vents appeared on the 29th of May 2006, almost two days after a 6.3 M earthquake struck the island. These eruption sites developed over a distance of > 1 km along a system of fractures that follows the orientation of the Watukosek fault system20. This is a NE-SW regional tectonic discontinuity running from the Arjuno-Welirang (AW) volcanic arc towards the NE of Java, intersecting Lusi and several mud volcanoes (e.g.21,22,23). Within weeks after the inception, the active eruption sites expanded in size, with the largest one developing a 100 m wide vent releasing boiling water, mud, rock clasts, oil and gas. Up to 180,000 m3 day−1 of mud were expelled, resulting in submerged villages and displacement of more than 60,000 people20,24. Two major vents currently erupt in the crater zone, alternating between periods of regular activity and powerful geysering events, making Lusi a clastic-dominated geysering-like system25. These two Lusi vents are isolated inside a ~ 650 m diameter circular pond of fluidized mud, framed by a vast area of dry mud breccia hosting thousands of bubbling seeps. The region covered with mud breccia spans over ~ 7 km2 and is confined by a tall embankment built to prevent flooding expansion (Fig. 1A).
Central vents at Lusi primarily discharge aqueous vapour (~ 98 vol.%) belonging to the hydrothermal component of the system. In addition, CH4 and CO2, are released at variable concentrations both from the boiling vents, satellite peripheral seeps, and fractured ground18,23,26. Converging geophysical, geochemical, petrography, and modelling data indicate that magmatic/hydrothermal CO2-rich fluids, migrating from the neighbouring AW volcanic complex, flushed through the hydrocarbon-rich back-arc sedimentary basin triggering the formation of over-pressurised gas pools18,27,28,29,30,31,32.
Here, we estimate the total CH4 emissions from Lusi using both ground-based and satellite (TROPOMI) measurements (Figs. 1, 2, 3). CO2 emission is additionally measured by ground-based techniques. Ground-based and remote sensing methods provide very similar estimates, confirming the order of magnitude of the emission factors of large seeps used in global bottom-up emission estimates6.
Gas emission structures and related fluxes
We studied and classified the Lusi degassing modes identified throughout the region inside the embankment and performed CH4 and CO2 flux measurements in all of them (Figs. 1, 2). We recognised that, in addition to two main central vents (active in what we define as the crater zone), the gas exhales abundantly from three different emission modes: (a) diffuse invisible seepage (miniseepage) occurring throughout the area covered by mud, (b) degassing through a network of fractures, parallel and antithetic to the Watukosek fault system, and (c) thousands of satellite seeps scattered around the crater zone inside the embankment area (see details in “Supplementary Material”, Fig. 2). For each of these degassing modes we applied specific ground-based flux measurement approaches, including the closed-chamber method (655 flux measurements), crater plume monitoring and volume measurements (205 measurements), and up-scaling techniques following widely used methods in geological gas emission studies (“Methods” and “Supplementary Material”).
Table 1 and Fig. 1B show the CH4 and CO2 fluxes released to the atmosphere from the four Lusi degassing modes (i.e. crater zone, miniseepage, fractured zones and satellite seeps). Details of flux calculations are provided in the “Supplementary Material”, Figs. S1, S2, S3 and S4. The main vent, whose gas composition is characterized by an average CO2/CH4 ratio ~ 318,26, releases in total ~ 42 (from 26 to 61) ktonnes CH4 year−1, and ~ 340 (from 213 to 496) ktonnes CO2 year−1. The gas flux from the second vent was not measured, but long-term observations and video records show that its activity is similar to that of the main vent with a focussed plume of ~ 35 m in diameter. Using the same approach applied for the main vent, we calculate a mean emission of ~ 22 ktonnes CH4 year−1, and ~ 176 ktonnes CO2 year−1. Details for crater zone emission estimates are provided in the “Supplementary Material”.
The surrounding area, including fractures, satellite seeps and diffuse degassing (miniseepage) over ~ 7 km2, releases ~ 38 ktonnes CH4 year−1, and ~ 24 ktonnes CO2 year−1. Ground-based flux measurements suggest, therefore, a total CH4 emission of around 0.1 Tg year−1 (78.3–131.5 ktonnes year−1) (Fig. 1B, Table 1).
The amount of CH4 released from the crater zone and that from the surrounding degassing are of the same order of magnitude. CO2 instead is mostly released from the vents, representing the core of the hydrothermal manifestation as indicated by hot fluids and abundant water vapour. It has been suggested that the CO2-dominated gas released from the vents results from the rapid de-pressurization of the fast-rising fluids combined with the exsolution of the dissolved pore water gas ongoing at high temperatures (i.e. > 100 °C) at near surface conditions18,20. The gas from the satellite seeps is instead CH4-enriched. The degassing in the surrounding zone is likely related to colder peripheral pathways that branch off from the main conduit in combination with release of gas stored within the thick deposits of mud breccia18. These deposits range in thickness from hundreds to tens of metres with increasing distance from the central area33,34.
We stress that the gas emission estimates are conservative. They do not include the continuous degassing in the 650 m diameter circular pond framing the crater zone. In this inaccessible area, we assigned a low averaged soil miniseepage value, however aerial images show intense and ongoing diffuse gas bubbling activity. In addition, the crater zone emission was calculated during Lusi steady state degassing (i.e. regular activity). Importantly, our budget does not include the powerful geysering activity that characterizes Lusi for about fifty percent of the time25. Ultimately, elevated air content estimates within the plume volume (i.e. 75%) were considered in our calculations, although video records often showed an apparently more homogenously dense gas plume.
Figure S4C shows the monitoring of Lusi mud flow rate since the inception in May 2006. Between 2014 and 2016 (i.e. survey time described herein) Lusi had the lowest recorded flow rate. Previous studies revealed that a direct correlation exists between the increase in flow rate and the gas released from the plume25,35,36; therefore our conservative degassing estimates can safely be applied throughout Lusi’s activity. Daily observations, videos, and monitoring show that during the first years Lusi had long-lasting geysering phases and higher mud flow rates (i.e. up to 180,000 m3 day−1), and developed a system of vigorous satellite seeps extending for kilometres around the main crater zone. Therefore, much greater degassing is expected to have occurred between 2006 and 2011, and from the end of 2015 until the end of 2018. Interpolating our flow rate measurements (Fig. S4C), we calculate that between May 2006 and January 2019 Lusi discharged a total of ~ 0.3 km3 of mud breccia.
TROPOMI satellite measurements
We obtained an independent emission estimate from TROPOMI retrievals of total column CH4 (XCH4) collected over eastern Java between May 2018 and July 2019 (Fig. 3). XCH4 enhancements are found in the Surabaya and Sidoarjo region, including the location of Lusi, on the order of 8–9 ppb. We estimated the CH4 emissions from Lusi of 140 ± 87 ktonnes year−1 using the mass balance approach (see “Methods”). Figure 1A,B highlight the presence of many smaller (fractured zone, mini seepage, satellite seeps) and larger (crater zone) methane emitting seepage modes present throughout the area considered. Similarly, Table 1 shows that the crater (situated in the center) emits around 40–93 ktonnes year−1 methane while satellite seeps, which are uniformly spread across the whole area accounts for a total of 36 ktonnes year−1, with a smaller fraction from other seepage mode (0.5–9 ktonnes year−1). Given this variety in methane fluxes, we expect to detect diffuse XCH4 enhancements rather than distinct plumes in TROPOMI. The higher estimated emissions from TROPOMI are consistent with a higher mud flow rate measured during 2018–2019 compared to that measured during the 2014–2016 ground-based survey period. However, the relatively high TROPOMI estimates are not linearly related to the increase in mud flow rate observed for the in-situ measurements (Fig. S4C). The low mean estimate from TROPOMI can be due to overestimation of anthropogenic emissions in EDGAR (see more details in “Supplementary Material”). Also, the low wind speeds observed in the region introduces uncertainty (tabulated in Table S1 and Fig. S6A). The larger uncertainty bound of the satellite-derived emissions can accommodate a source rate > 200 ktonnes year−1, which is significantly larger than the ground-based estimation. The high uncertainty in the TROPOMI-derived estimate is mainly due to sensitivity to the choice of the background and source box, as well as the difficulty to unequivocally distinguish Lusi emissions from others anthropogenic sources in the region. The anthropogenic emissions and wetland emissions are estimated to vary respectively by 12–47% and 0.04–0.4% of the total emission in source boxes varying in size between 0.2° × 0.2° and 0.7° × 0.7° in intervals of 0.1° (Fig. S5). The contribution of the surface emissions is relatively small for the smallest source box, but we cannot exclude the possibility that the local XCH4 enhancements are influenced by surrounding emissions, particularly given the generally low wind-speeds (< 2 m s−1). It is interesting to note that, aside from rare exceptions, the predominant winds throughout the monitored timeframe have easterly and south-easterly directions (Fig. S6B). No obvious methane signal can be detected to the south of Lusi despite the fact that the settlement distributions are similar to both the northern and southern side of the eruption site. This observation strengthens the fact that the TROPOMI estimates are consistent with a sizeable source from Lusi for any choice of region (Fig. S6E).
Although Lusi is neither a pure hydrothermal system nor a magmatic volcano, its CO2 output of ~ 0.35–0.78 Tg year−1 is within the range (0.006–19 Tg year−1) of volcanic emissions, and comparable with the emissions of Erebus (Antarctica), White Island (New Zealand) and Augustine (USA) volcanoes (an updated list of volcanic CO2 output are reported by37 and Refs. therein). Large tectonic and hydrothermal/geothermal systems release CO2 amounts similar to those measured at Lusi37,38. Therefore, as a geological CO2 source, Lusi is not an exceptional case. Global volcanic CO2 emissions (~ 600 Tg year−137,39) represent a very modest component of the atmospheric carbon budget, two and three orders of magnitude lower than anthropogenic and natural sources, respectively2.
Conversely, natural geological emissions appear to be a significant fraction of the atmospheric CH4 budget (~ 45 Tg year−18), roughly accounting 8% of total emissions. Recent analyses, based on preindustrial-era ice core 14CH4 measurements, suggest instead a much lower global output, ranging from 0.1 to 5.4 Tg year−17. These estimates diverge also with the values reported herein, which reveal that the Lusi emissions alone already match the minimum range assessed by Hmiel et al.7 for the entire planet. Moreover, in a global onshore seep inventory, 76 seeps were identified as “big emitters”, i.e. potentially releasing methane in the order of 104 tonnes year−16. This list includes Lusi. The emission estimate in the seep inventory is based on statistically derived emission factors and seepage area calculated by image analysis (see details in6). An overall (vents plus diffuse seepage) emission factor of 7.1 ktonnes km−2 year−1 (statistically derived6) was applied to Lusi, resulting in a predicted potential release of about 50 ktonnes CH4 year−1. This is equivalent to the lower estimate by TROPOMI, or less than half the mean value estimated by either TROPOMI or ground-based techniques, which indicates an overall emission factor exceeding 14 ktonnes km−2 year−1 (~ 5.3 ktonnes km−2 year−1 excluding the crater zone). We can hypothesize that numerous of the continuously and actively degassing mud volcanoes and similar seep systems worldwide, which differently from Lusi are dominated by CH4 and not CO2, may have CH4 emission factors at least of the same order of magnitude of that estimated in this work. For example, the “big emitters” inventory6 includes 27 mud volcanoes or mud volcano clusters, mostly in Azerbaijan, with a size similar or exceeding that from Lusi. These emitters may then release CH4 amounts of the same order of magnitude of those degassed by Lusi in the peripheral part through invisible miniseepage, fractured zones and active seeps. Such seepage potential suggests that the ice core 14CH4 study7 may have underestimated the natural Earth’s CH4 degassing. In any case, the discrepancy existing between the field plus satellite measurements and the ice core 14CH4 estimates implies that the latter requires further investigations and evaluations.
The abundant methane release measured in the accessible area around Lusi’s crater (i.e. excluding the crater zone) is comparable to that of major leaks related to fossil fuel industry, such as gas compressors in Turkmenistan, recently detected by the TROPOMI and GHG-Sat D satellites (about 129 ktonnes year−140), and it is higher than the largest reported methane point sources, coal mines and landfills, in the United States (10–100 ktonnes year−141).
Our results reveal that satellite-derived emission estimates are becoming a fundamental tool to validate ground-based flux measurements. Refined remote-sensing estimates may be a valid substitute for field activities that are time-consuming and often impossible to be completed in dangerous or inaccessible regions. Identification and detection of geo-methane emission points/areas, including large active seeps, vents and mud volcanoes, using satellite observations will be an essential challenge to improve global estimates of Earth's methane degassing and, indirectly, quantify the anthropogenic emission from fossil fuel industries.
This works combines the observations and measurements conducted during daily routine monitoring of the Indonesian Ministry Agencies (BPLS-PPLS) and the data collected during more than a dozen of dedicated fieldworks conducted since the beginning of the Lusi eruption in 2006. Gas flux measurements were designed and performed according to the several degassing modes (crater zone, miniseepage, fractured zones and satellite seeps, Fig. S1) described in detail in the “Supplementary Material”.
CH4 and CO2 flux from the main vent was estimated by measuring gas plume vertical velocity (period 2015–2019), through a theodolite (Topcon AT-G2) mounted on the observatory tower located at the south-eastern part of Lusi embankment, knowing gas plume density (based on H2O, CO2 and CH4 relative composition) and CH4 and CO2 concentration/ratio (from18,26). For the procedures and data elaboration, see “Supplementary Material”.
Gas flux from the miniseepage, fractured zones and satellite seeps was measured by closed-chamber technique. The system used a 20 cm-diameter metallic box connected to a West System sensor package (Pontedera, Italy) including a laser CH4 sensor (Tunable Diode Laser Adsorption detector, precision and lower detection limit of 0.1 ppmv) and an infrared CO2 detector (LICOR–LI820, accuracy of 2% and repeatability is ± 5 ppmv). The flux is derived by measuring the concentration build-up within the box over time (e.g.23).
The sample site selection was mainly linked to the site logistics and the presence of dry walkable mud inside the embankment. In this area, a total of 655 CO2 and CH4 flux measurements were performed (during November–December 2014, June 2015 and May 2016) from the three degassing modes (Fig. 2A).
In total, 351 satellite seeps with varying amount of water content, microbial activity and extension, were measured. The flux measurements were also carried out radially from individual seeps to assess the extension of the macro-seepage area excluding miniseepage. This datum, estimated to be ~ 2 m, was important for the output estimation since it takes into account the area of the individual seeps.
In total, 129 flow measurements were carried out both along the raised edge and in the depressions present in the central part of the main fractured/faulted zones oriented NE–SW (i.e. Watukosek strike slip fault system) or through the antithetic equivalents (Siring fault system) (e.g.21,22,23,33).
In total, 175 flux measurements were carried out on diffuse invisible seepage (miniseepage) throughout the area covered by walkable dry mud, trying to obtain a distribution as homogeneous as possible of the data.
Flux data were elaborated by statistical and spatial analysis software packages (Surfer 12.0, Golden Software, Inc.; Statistica 10.0, StatSoft, Inc.; ArcGIS, ESRI, Inc.) to estimate total gas emissions (“Supplementary Material”). Miniseepage and fractured zone emissions, being areal degassing modes, were estimated by Natural Neighbour interpolation and volume method (Surfer 12.0, Golden Software, Inc.). Total emission from satellite seeps was estimated by summing individual fluxes from measured and modelled seeps (“Supplementary Material”).
Recent studies42,43 have shown independent TROPOMI estimates using the mass balance method to quantify methane emissions using XCH4 enhancements over an area source relative to an upwind background. The study presented herein uses the mass balance method from Buchwitz et al.44 to quantify methane emission using a background region defined based on boundary layer averaged wind speed and direction from the ECMWF ERA5 reanalysis. The contributions from anthropogenic, biomass burning and wetland emissions in the source box are accounted for using the EDGARv5.045, GFED4.1 s46 and WetCHARTs version 1.047 emissions. A total of 50 orbits were screened for data availability in the period May 2018–July 2019 requiring > 100 valid retrievals (quality flag qa ≥ 0) over the analyzed domain per orbit. The data from these orbits have been regridded and averaged at a resolution of 0.1° × 0.1°. A negative correlation of − 0.68 was found between the averaged XCH4 and aerosol optical thickness (AOT). A linear regression between XCH4 and AOT (Fig. S6D) yields a slope of − 364 ppb per unit of AOT, which has also been used to account for the influence of aerosols on the XCH4 retrieval as a sensitivity study.
The uncertainty in TROPOMI-inferred emissions was represented by one standard deviation across an ensemble of estimates and in wind speed, and calculated as sum in quadrature. The ensemble of estimates was created by varying the following parameters: (a) background, varied at an interval of 0.25 (times length of source box) till the dimension length equals the length of the source box, (b) the regridding resolution, perform the analysis at different resolution 0.01° × 0.01°, 0.05° × 0.05° and 0.1° × 0.1°, and (c) lastly vary the source box from 0.2° × 0.2° to 0.7° × 0.7° to test the influence of anthropogenic emissions on our estimate for Lusi (shown in Fig. S5). Finally, the uncertainties in wind speed were accounted by considering average winds over the source boxes at different time steps (0600 UTC h ± 2) and the variability in the winds over different source box. The uncertainties (one standard deviation) in wind speed is tabulated in the “Supplementary Material” (Table S1). Further details about the quantification of emission using TROPOMI data can be found in the “Supplementary Material”.
All data generated or analysed during this study are included in this published article and its “Supplementary Material” files. ECMWF ERA-5 reanalysis data is freely available at https://cds.climate.copernicus.eu. TROPOMI data can be accessed at Copernicus Open Access Hub (https://scihub.copernicus.eu/).
Shindell, D. T. et al. Improved attribution of climate forcing to emissions. Science 326, 716–718 (2009).
Ciais, P. et al. In Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of IPCC (eds T.F. Stocker et al.) 465–570 (Cambridge University Press, Cambridge, United Kingdom and New York, NY, USA, 2013).
Saunois, M. et al. Variability and quasi-decadal changes in the methane budget over the period 2000–2012. Atmos. Chem. Phys. 17, 11135–11161 (2017).
Lassey, K. R., Etheridge, D. M., Lowe, D. C., Smith, A. M. & Ferretti, D. F. Centennial evolution of the atmospheric methane budget: What do the carbon isotopes tell us?. Atmos. Chem. Phys. 7, 2119–2139 (2007).
Schwietzke, S. et al. Upward revision of global fossil fuel methane emissions based on isotope database. Nature 538, 88–91 (2016).
Etiope, G., Ciotoli, G., Schwietzke, S. & Schoell, M. Gridded maps of geological methane emissions and their isotopic signature. Earth Syst. Sci. Data 11, 1–22 (2019).
Hmiel, B. et al. Preindustrial 14CH4 indicates greater anthropogenic fossil CH4 emissions. Nature 578, 409–412 (2020).
Etiope, G. & Schwietzke, S. Global geological methane emissions: An update of top-down and bottom-up estimates. Elem. Sci. Anth. 7, 47. https://doi.org/10.1525/elementa.1383 (2019).
Dimitrov, L. I. Mud volcanoes—The most important pathway for degassing deeply buried sediments. Earth Sci. Rev. 59, 49–76 (2002).
Milkov, A. V., Sassen, R., Apanasovich, T. V. & Dadashev, F. G. Global gas flux from mud volcanoes: A significant source of fossil methane in the atmosphere and the ocean. Geophys. Res. Lett. 30(2), 1037 (2003).
Klusman, R. W., Jakel, M. E. & LeRoy, M. P. Does microseepage of methane and light hydrocarbons contribute to the atmospheric budget of methane and to global climate change? Assoc. Pet. Geochem. Explor. Bull. 11, 1–55 (1998).
Etiope, G. & Klusman, R. W. Microseepage in drylands: Flux and implications in the global atmospheric source/sink budget of methane. Glob. Planet. Change 72, 265–274 (2010).
Judd, A. G. Natural seabed seeps as sources of atmospheric methane. Environ. Geol. 46, 988–996 (2004).
Kvenvolden, K. A. & Rogers, B. W. Gaia’s breath—Global methane exhalations. Mar. Pet. Geol. 22, 579–590 (2005).
Anthony, K. M. W., Anthony, P., Grosse, G. & Chanton, J. Geologic methane seeps along boundaries of Arctic permafrost thaw and melting glaciers. Nat. Geosci. 5, 419–426 (2012).
Thornton, B. F. et al. Shipborne eddy covariance observations of methane fluxes constrain Arctic sea emissions. Sci. Adv. 6(5), eaay7934 (2020).
Van Noorden, R. Mud volcano floods Java. Nature https://doi.org/10.1038/news060828-1 (2006).
Mazzini, A., Etiope, G. & Svensen, H. A new hydrothermal scenario for the 2006 Lusi eruption, Indonesia. Insights from gas geochemistry. Earth Planet. Sci. Lett. 317, 305–318 (2012).
Procesi, M., Ciotoli, G., Mazzini, A. & Etiope, G. Sediment-hosted geothermal systems: Review and first global mapping. Earth Sci. Rev. 192, 529–544 (2019).
Mazzini, A. et al. Triggering and dynamic evolution of the LUSI mud volcano, Indonesia. Earth Planet. Sci. Lett. 261, 375–388 (2007).
Mazzini, A. et al. Strike-slip faulting as a trigger mechanism for overpressure release through piercement structures. Implications for the Lusi mud volcano, Indonesia. Mar. Petrol. Geol. 26, 1751–1765 (2009).
Moscariello, A. et al. Genesis and evolution of the Watukosek fault system in the Lusi area (East Java). Mar. Pet. Geol. 90, 125–137 (2018).
Sciarra, A. et al. Radon and carbon gas anomalies along the Watukosek Fault System and Lusi mud eruption, Indonesia. Mar. Petrol. Geol. 90, 77–90 (2018).
Richards, J. R. Report into the past, present, and future social impacts of Lumpur Sidoarjo. Tech. Rep. Humanitus Sidoarjo Fund, Humanitus, Suarabaya, Indonesia. 162 pp (2011).
Karyono, K. et al. Lusi, a clastic-dominated geysering system in Indonesia recently explored by surface and subsurface observations. Terra Nova 29, 13–19 (2017).
Vanderkluysen, L., Burton, M. R., Clarke, A. B., Hartnett, H. E. & Smekens, J. F. Composition and flux of explosive gas release at LUSI mud volcano (East Java, Indonesia). Geochem. Geophys. Geosyst. 15, 2932–2946 (2014).
Mazzini, A., Scholz, F., Svensen, H. H., Hensen, C. & Hadi, S. The geochemistry and origin of the hydrothermal water erupted at Lusi, Indonesia. Mar. Petrol. Geol. 90, 52–66 (2018).
Malvoisin, B., Mazzini, A. & Miller, S. A. Deep hydrothermal activity driving the Lusi mud eruption. Earth Planet. Sci. Lett. 497, 42–49 (2018).
Svensen, H. H., Iyer, K., Schmid, D. W. & Mazzini, A. Modelling of gas generation following emplacement of an igneous sill below Lusi, East Java, Indonesia. Mar. Petrol. Geol. 90, 201–208 (2018).
Zaputlyaeva, A., Mazzini, A., Caracausi, A. & Sciarra, A. Mantle-derived fluids in the East Java Sedimentary Basin, Indonesia. J. Geophys. Res. Solid Earth 124, 7962–7977 (2019).
Zaputlyaeva, A. et al. Recent magmatism drives hydrocarbon generation in north-east Java, Indonesia. Sci. Rep. 10, 1786 (2020).
Fallahi, M. J., Obermann, A., Lupi, M., Karyono, K. & Mazzini, A. The plumbing system feeding the Lusi eruption revealed by ambient noise tomography. J. Geophys. Res. Solid Earth 122, 8200–8213 (2017).
Mauri, G. et al. Insights on the structure of Lusi mud edifice from land gravity data. Mar. Pet. Geol. 90, 104–115 (2018).
Panzera, F. et al. Lusi hydrothermal structure inferred through ambient vibration measurements. Mar. Pet. Geol. 90, 116–124 (2018).
Lupi, M. et al. Enhanced hydrothermal processes at the new-born Lusi eruptive system, Indonesia. J. Volcanol. Geoth. Res. 366, 47–57 (2018).
Collignon, M., Schmid, D. W., Galerne, C., Lupi, M. & Mazzini, A. Modelling fluid flow in clastic eruptions: Application to the Lusi mud eruption. Mar. Pet. Geol. 90, 173–190 (2018).
Burton, M. R., Sawyer, G. M. & Granieri, D. Deep carbon emissions from volcanoes. Rev. Mineral. Geochem. 75, 323–354 (2013).
Morner, N. A. & Etiope, G. Carbon degassing from the lithosphere. Glob. Planet. Change 33, 185–203 (2002).
Werner, C. et al. Carbon dioxide emissions from subaerial volcanic regions: Two decades in review. In Deep Carbon: Past to Present (eds. B.N. Orcutt, I. Daniel, & R. Dasgupta) 188–236 (Cambridge University Press, 2019).
Varon, D. J. et al. Satellite discovery of anomalously large methane point sources from oil/gas production. Geophys. Res. Lett. https://doi.org/10.1029/2019GL083798 (2019).
Jacob, D. J. et al. Satellite observations of atmospheric methane and their value for quantifying methane emissions. Atmos. Chem. Phys. 16, 14371–14396 (2016).
Zhang, Y. et al. Quantifying methane emissions from the largest oil-producing basin in the United States from space. Sci. Adv. 6, eaaz5120 (2020).
Pandey, S. et al. Using satellite data to identify the methane emission controls of South Sudan’s wetlands. Biogeosci. Discuss. 2020, 1–31 (2020).
Buchwitz, M. et al. Satellite-derived methane hotspot emission estimates using a fast data-driven method. Atmos. Chem. Phys. 17, 5751–5774 (2017).
Crippa, M. et al. Fossil CO2 and GHG emissions of all world countries: 2019 report. in Report, EUR 29849 EN, Publications Office of the European Union, Luxembourg, 2019. ISBN 978-92-76-11100-9. JRC117610 (2019). https://doi.org/10.2760/687800.
van der Werf, G. R. et al. Global fire emissions estimates during 1997–2016. Earth Syst. Sci. Data 9, 697–720 (2017).
Bloom, A. A. et al. A global wetland methane emissions and uncertainty dataset for atmospheric chemical transport models (WetCHARTs version 1.0). Geosci. Model Dev. 10, 2141–2156 (2017).
Copernicus. Climate Change Service (C3S) (2017): ERA5: Fifth generation of ECMWF atmospheric reanalyses of the global climate. Copernicus Climate Change Service Climate Data Store (CDS). https://cds.climate.copernicus.eu/cdsapp#!/home. Accessed June 2019.
The work was funded by the European Research Council under the European Union’s Seventh Framework Programme Grant agreement no. 308126 (LUSI LAB project, PI A. Mazzini). We acknowledge the support from the Research Council of Norway through its Centres of Excellence funding scheme, Project Number 223272 (CEED) and the HOTMUD project (288299). This research contains modified48 Sentinel data for 2018 and 2019. PS and SP are funded through the GALES (Gas Leaks from Space) project (Grant 15597) by the Dutch Technology Foundation, which is part of the Netherlands Organisation for Scientific research (NWO). BPLS and PPLS personnel are thanked for their field support. Finally, we thank the editor and the numerous reviewers for their constructive comments that improved this manuscript.
The authors declare no competing interests.
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Mazzini, A., Sciarra, A., Etiope, G. et al. Relevant methane emission to the atmosphere from a geological gas manifestation. Sci Rep 11, 4138 (2021). https://doi.org/10.1038/s41598-021-83369-9
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