Abstract
Continuous tow investigations have shown that the present vent field inventory along fast to intermediate spreading ridges may be underestimated by at least 3–6 times, while the limited towed line investigations of venting sites along slow to ultra-slow spreading ridges make it impossible to determine their distribution. The Chinese Dayang cruise has conducted detailed towed line surveys of hydrothermal activity on segment 27 of the ultra-slow spreading southwest Indian ridge in 2015. The results have identified as many as 9 hydrothermal fields along 85-km-long segment, including one confirmed hydrothermal field, three inferred hydrothermal fields and five suspected fields. Hydrothermal activities are not only limited along-axis but also found approximately 10 km away from the axis. These vent fields are likely powered by a seismically identified axial magma chamber, including melt migration along normal faults to flank areas. The calculated hydrothermal activity frequency on segment 27 is approximately 3.6–8 times higher than that calculated from the Interridge database, suggesting that careful system exploration can reveal more hydrothermal activities even on ultra-slow spreading ridges effected by hotspot.
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Introduction
Hydrothermal activity is widespread on the seafloor, such as at ocean spreading ridges (OSRs) and arc volcanoes1. The study of hydrothermal field plays a key role in ocean-crust interactions, the formation of seafloor massive sulfide deposits and oceanic chemical and biogeochemical cycles2,3,4,5. Approximately 700 hydrothermal fields have been discovered worldwide, and OSRs hydrothermal activity comprises 75% of the total (data from www.vents-data.interridge.org/). However, approximately ~70% of the 71,000 km OSRs still have had no investigations of their hydrothermal activity2,5,6.
Hydrothermal activity distribution on the OSRs is expressed by the fraction of the ridge crest length overlain by a significant hydrothermal plume (Ph) or the vent site frequency Fs (sites per 100 km of ridge length) and is primarily controlled by the magmatic budget1. The Ph and Fs have positive linear correlations with the ridge spreading rate1,5. In recent studies, several fast to intermediate ridges have been surveyed by continuous tows with multiple sensors that can detect both particle-rich and particle-poor plumes. Scientists have found that the present Fs along that spreading ridges may be underestimated by at least 3–6 times3. Whether similar distribution frequency is underestimated on slow to ultra-slow spreading ridges is not clear because most surveys on these ridges have been vertical profiles and continuous tow instruments have been rarely used7,8,9. Our research on the southwest Indian ridge (SWIR) provides more detailed evidence about the global vent fields distribution.
One interesting subset of mid-ocean ridges (MORs) includes the ridges affected by hotspots, which comprise 15–20% of the total length of the MORs10,11,12. Ridges affected by hotspots have high magma supply, thickened crust and have less hydrothermal activity than normal MORs10,13. For example, at the slow-spreading south Atlantic Ridge at 7°–11°S near the Ascension hotspot the shallowest location has crustal thicknesses up to 11 km9,14, and only one diffuse hydrothermal field15 and one high-temperature hydrothermal field have been identified16. Surveys using Conductivity–Temperature–Depth (CTD) sensors have obtained 175 vertical profiles along the Reykjanes Ridge (57°45′–63°09′N), which is above the Iceland hotspot, and identified only one hydrothermal field at 63.1°N (named Steinahóll)17. However, our survey of hydrothermal activity on the ultra-slow SWIR which interacts with the Crozet hotspot shows obvious differences from previous studies. Whether or not the hydrothermal activity is suppressed on the hotspot-affected MORs needs to be investigated10,18.
Our study area is located between the Indomed and Gallieni transform faults (In-Ga TFs), on an ultra-slow spreading ridge with a spreading rate of 11.9 mm/yr. The area is one of the shallowest regions of the SWIR with a mean axial depth of 3180 m19. Segment 27 is 85 km long and has along-axis relief of 1895 m19,20. And the presence of off-axis dome volcanoes that reflect a long-term magma supply21. The seafloor quickly deepens away from the volcano along the ridge axis, bounded by two ridgeward-dipping bounding fault scarps defining a 20 to 25-km-wide median valley(Fig. 1)22. According to the location of the bounding fault, we divided the study area into 3 parts: centre region, southern region and northern region (Fig. 1). Mantle Bouguer anomaly (MBA) values of segment 27 decrease to a low of −84 mGal, indicating a thick crust and/or hot mantle along the axis19. Seismic tomography and full waveform inversion of ocean bottom seismometer data indicate the presence of a large low-velocity anomaly (LVA) approximately ~4–9 km below the seafloor interpreted as an axial magma chamber (AMC) in the lower crust23. Magmatism in this area is related to the Crozet hotspot, which is located 1000 km south of the ridge axis19. The basalts in the study area are enriched in isotopes and trace elements compared with depleted, normal-MOR basalt (N-MORB) which is considered geochemical evidence of interaction between the Crozet hotspot and the ridge24. The Duanqiao hydrothermal field (DQF) (50.47°E) was discovered on the central axis ridge of segment 27 in 2007 by the Chinese Dayang cruise. The hydrothermal field has an area of approximately 200 × 125 m25.
In 2015, 34th Chinese Dayang cruise conducted systematic surveys of hydrothermal activity on segment 27 using a deep-towed hydrothermal detection system (DHDS) and obtained both optical and chemical data. Nine survey lines at spacing of 0.8–3 km, approximately 390 km in total length, surveyed an area of nearly 1300 km2.
Hydrothermal plumes are rich in metallic elements and suspended particles and higher temperatures than the surrounding seawater. In addition, hydrothermal altered rocks, sediments (called “seabed types anomaly” in this paper), and fauna around vents differ greatly from the normal seafloor. Physical and chemical evidence in the water column such as turbidity, oxidation-reduction potential (ORP), temperature, dissolved Mn, CH4, Fe and 3He, seabed types and hydrothermal vent fauna are often used to determine the locations of hydrothermal fields15,26 (Sup. Table 1).
One common method of identifying hydrothermal activity is combining anomalies from sensors and visual images. NTU which is turbidity anomaly detected from Miniature Autonomous Plume Recorders (MAPRs), oxidation-reduction potential (ORP) or dE/dt(the value of the time derivative of ORP) which is the anomaly decrease read from ORP sensor and seabed anomaly are three indices using to identify hydrothermal activity3. For example, Iguanas-Pinguinos hydrothermal field on the Gala’pagos Spreading Center (GSC) which has high-temperature “black smokers”, was surveyed by towed lines. The plumes extend for approximately 11 km and rise height approximately 100 m with ΔNTU of >0.06 and a decrease in ORP of approximately 100 mV (Fig. 2a)10. During the 34th Chinese Dayang cruise, towed lines were performed using the same detection technology and method along the 49–52°E, SWIR, including three second-order segments called segment 27, 28 and 29. Lines passed through confirmed hydrothermal fields, such as the Longqi hydrothermal field (LHF, 49.65°E 37.782°S) on segment 28 (Sup. Fig. 1), and the Yuhuang hydrothermal field (YHF, 49.263°E -37.938°S) on segment 29 (Sup. Fig. 1). Previous study indicated that LHF was an area of focused hydrothermal venting25. The YHF is mostly inactive and is covered by sediment27. Obvious differences in the NTU and ORP anomalies between LHF and YHF are shown in the profiles (Fig. 2). Similar to the Iguanas-Pinguinos hydrothermal field, the LHF has a plume that extends for approximately 2 km and rises to a height of 150 m with ΔNTU > 0.1 and an ORP decrease of approximately 40 mV (Fig. 2b). Focused-flow hydrothermal vents have not been discovered on the YHF where a weak NTU anomaly (ΔNTU = 0.01–0.02), a decrease in ORP of approximately 2 mV and a plume height of approximately 50–100 m (Fig. 2c) were identified near the site.
Results
During our study, we use NTU and ORP anomaly which is summarized from other hydrothermal vents’ anomaly values (Sup. Table 1) to identify the hydrothermal site in segment 27. In this paper, an NTU anomaly is a plume spread more than 1 km and rise height above 100 m with the value above 0.01NTU, and an ORP anomaly is identified by a dE/dt value more negative than −0.04 mV/s for consecutive measurements with an overall decrease (dE) >2 mV3. According to the limited scale of the video and camera, seabed type shows no anomaly in the study area. We categorized the hydrothermal fields into inferred fields and suspected fields: the inferred fields have ORP and NTU anomalies to avoid the influence of resuspended bottom sediments8 and ORP sensor instability; the suspected fields have only one index such as NTU anomaly, or a decrease in ORP. Base on the analysis of the NTU and ORP data, the combinations of 7 NTU and 10 ORP anomalies identified as many as 9 distinct fields. The hydrothermal fields on segment 27 include one confirmed hydrothermal field (DQF), three inferred hydrothermal fields (i.e., NL01, SL01, and CL-W) and five suspected fields (i.e., CL03-2, CL03-3, CL05, NL01-2, and SL01-2) (Fig. 1) (Sup. Table 2 provides detailed information about each site). The DQF was confirmed through geological sampling; it had no NTU anomaly and a decrease in ORP (dE/dt) of approximately 10 mV (0.1–0.2 mV/s). The seabed type at DQF is mainly basalt and metalliferous sediments. The three inferred hydrothermal fields all have NTU anomalies (ΔNTU = 0.01–0.04) and decreases in ORP (dE/dt) between 3 and 25 mV (0.05–0.3 mv/s) with plume heights greater than 200 m. The five suspected sites were detected by obvious decreases in ORP (dE/dt) between 3 and 19 mV (0.12–0.29 mv/s) or NTU anomalies (ΔNTU = 0.01–0.02). Some ORP-only anomaly sites were excluded where videos recorded the towed body hitting the seafloor, this may cause incorrect records of the ORP sensor, such as the ORP decrease in CL04 at 50.43°E and ORP decrease in NL02 at 50.37°E.
Five DHDS survey lines covered the centre region of segment 27 (Fig. 1). Base on the mapping of the plume, five hydrothermal fields (i.e. DQF, CL03-2, CL03-3, CL05, and CL-W) were found in the central axial valley of segment 27 (Figs 1 and 3). Along the central part of the ridge, area A (light violet rectangle area in Fig. 1) contains the DQF and three suspected fields (CL03-2, CL03-3, and CL05). Fields CL03-2 and CL03-3 are located approximately 5–10 km to the east and west of the DQF, respectively, with decreases in ORP (dE/dt) of −0.1 and −0.3, respectively. The two fields have similar decreases in ORP (dE/dt) to those reported in the DQF (dE/dt = −0.2) and no NTU anomalies (Fig. 3c). The CL05 plume has an ΔNTU value of approximately 0.04 and is restricted to 50 m above the seafloor; therefore, we cannot rule out the influence of resuspended bottom sediments. In the western area of the rift valley (Fig. 1), one inferred hydrothermal field named CL-W have been found (light yellow rectangle area in Fig. 1) which including four plumes CL01, CL02, CL03-1, and CL04 that have similar rise heights. The CL01 plume extends for more than 10 km. The MAPRs found consistent NTU anomalies of up to 0.03 approximately 100 m above the seafloor. Decreases in ORP (dE/dt) correspond to the NTU anomalies with values of approximately 0.04 mV/s. At CL02, the plume extends continuously for 5 km. Sensors recorded NTU anomalies reaching 0.02 and decreases in ORP of approximately 3 mV. ΔNTU peak was detected on several MAPRs between 50 and 250 m above the seafloor. At CL03-1 plume extends continuously for 9 km. NTU anomalies fill the axial valley from the seafloor to 150 m above the seabed, and the decrease in ORP (dE/dt) is 11.4 (−0.15 mV/s). The CL04 plume has weak ΔNTU values (0.01~0.02) up to 150 m but no decrease in the ORP.
In the northern region, two lines (NL01 and NL02) were surveyed. Inferred NL01-1 field on the western part of the line is located approximately 10 km from the segment’s centre. NL01-1 has a decrease in ORP (dE/dt = 0.05) and NTU anomaly with a plume height greater than 200 m. NL01-2 is a suspected field that has an ORP decrease of 3.9 mV. No obvious anomalies were detected on line NL02 (Fig. 4).
The analyses of the NTU and ORP data from two survey lines on the southern region (SL01 and SL02) reveals one inferred field (SL01-1) and one suspected field (SL01-2) (Fig. 5). At SL01-1, the scale of the water column anomaly is approximately 10 km and the ΔNTU exceeds 0.02 at 150–200 m above the seafloor. A decrease in ORP of 6 mV was detected in the plume area. SL01-2 field shows a decrease in ORP of approximately 0.2 mV/s.
Discussion
Widespread plumes along segment 27
For that segment has been basically surveyed, we used the segment measured length (85 km) as the survey length to calculate the vent frequency of segment 275. Considering the area has 5 suspected fields, if we use as many as 9 hydrothermal fields that the calculated Fsmax value for segment 27 is 10.6 (light red star in Fig. 6) or the calculated Fsmin value is 4.7 (red star in Fig. 6) only considering the inferred and confirmed fields. If we use the interridge database data, only one confirmed field that was discovered before the 34th cruise, the previous Fs value of segment 27 would be 1.3 (gray star in Fig. 6)1,5. The calculate Fs value is almost 3.6–8 times higher than the value calculated from the interridge database.
Plume fields with combined optical and ORP anomalies that are >200 m thick, extend for ~3–10 km along the axis and have extensive areas of ΔNTU > 0.015 are considered to be high-temperature plumes, whereas those with only ORP anomalies are likely to be diffuse flow. At least 3 inferred focused fields and 5 suspected diffuse/ORP-only fields have been found here (Sup. Table 2). ORP-only particle-poor vent sites make up approximately 25% of the observed fields on some sections of intermediate to fast spreading ridges6 for the high-resolution measurements of closely spaced sources6. And our result on segment 27, SWIR found that the ORP-only fields made up as many as half of the fields (5 of 9 fields). Fs values are probably underestimated in ultra-slow spreading ridges for few continuous line surveys have been conducted on that ridges (Fig. 6).
The detailed analyses of the ORP data show that for the eGSC which is affected by the Galapagos hotspot, Fs increases from 1.4 to 6.5 (Fig. 6)3. The high-frequency of hydrothermal activity at segment 27 and the GSC indicate that even areas of hotspot-ridge interaction can host more vents than currently expected (Fig. 6). More detailed surveys, such as those on the GSC and segment 27 are needed to confirm that the frequency of hydrothermal activities in hot-spot ridge interaction areas.
Factors controlling hydrothermal activity along segment 27
Geological and geophysical studies provide information about the structure of the lithosphere, as well as magma melt migration along segment 27 (Fig. 7)22,28. The AMC is located ~4–9 km below the seafloor, deeper than AMCs observed at fast-spreading ridges23, and is likely the heat source for hydrothermal discharge along segment 27. And the depth of AMC has an influence on hydrothermal activity’s intensity and strength29. The hydrothermal sites are concentrated along the axis and at the western end of the neo-volcanic ridge (Fig. 1) while fewer hydrothermal plumes were observed on the eastern end of the ridge. Small low-velocity anomalies extending towards the western end of the segment provide evidence for magma redistribution at mid-crustal depth23. This magma provides sufficient heat source to the western end of the ridge axis and leads to the asymmetric plume distribution along the axis (Fig. 7). That may lead to the strongest CL-W hydrothermal field far away from the AMC centre.
At fast-spreading ridges, dyke leads to breaks in lithosphere and forms channels for upwelling of hydrothermal fluids30. Like this, dyke in segment 27 may provide channels for hydrothermal fluid(Fig. 7). The ORP-only vents suggest a crust with high ductility, few deep fractures, and mostly shallow, low-temperature hydrothermal circulation3,10 (Fig. 7).
With continued spreading, the off-axis lithosphere becomes cold and forms normal faults of varying sizes31. On ultraslow-spreading ridges, the heat source for off-axis hydrothermal circulation is magma away from the injection zone which is transported through the long-live boundary faults31. Faults can also act as pathways for the long-lasting circulation of high-temperature hydrothermal fluids that create vent fields.
Conclusions
-
1)
The hydrothermal activity along segment 27 is mainly characterized by wide-spread plumes. The plume heights are approximately 100–200 m and extend for ~3–10 km along the axis. Hydrothermal plumes are concentrated along the axial neo-volcanic ridge and at the western end of the ridge.
-
2)
Based on the result of systematic hydrothermal exploration, particularly the use of ORP sensors, ridges can develop more vents than expected even on ultra-slow spreading ridges. Some previous studies have concluded that hotspot-affected ridges have less hydrothermal activity than other MORs with similar spreading rates. However, the hydrothermal activities at hotspot-affected ridges might be higher than previously thought in most locations that have not been systematically surveyed.
-
3)
The AMC apparently provides sufficient heat source for wide-spread hydrothermal activity along segment 27. Dykes creates channels for heated fluids along the axis. Off-axis normal faults provide pathways for heat source to power flank vent fields.
Methods
The methods used to detect hydrothermal activity along MORs can be broadly divided into large and small-scale investigations. One group is used for large-scale (tens to hundreds of kilometers) investigations that infer the source of hydrothermal vents6. For example, universal surveys use vertical CTD profiles at intervals of 10 km to obtain temperature, light scattering, and geochemical data in the water column32,33. Another type of investigation is conducted using a towed-line loaded with multiple sensors. One method is to use a tow-yo line with one sensor that traces a sawtooth path along the survey line, while another method uses several sensors loaded on a cable that traces fixed parallel paths and detects physical and chemical anomalies in the water column34. Small-scale investigations focus on precisely targeting hydrothermal vents using Autonomous Underwater Vehicles (AUVs) and Remote Operated Vehicles (ROVs) to identify hydrothermal activity by constructing high-resolution bathymetric maps of the seafloor, taking photographs, and finding water column anomalies from multiple sensors35.
DHDS was the main hydrothermal investigation instrument used during the 34th Dayang cruise. The DHDS consisted of two parts. The first part comprised four to five Miniature Autonomous Plume Recorders (MAPRs) attached to a cable, which were placed at 50 m intervals above the bottom. The second part comprised multi-parameter chemical sensors (MPCS) and CTD sensors36, which were loaded onto the DHDS body. We also added a camera and video equipment to the DHDS body to obtain detailed images of the hydrothermal activity.
The MAPRs recorded light backscattering, temperature, and pressure data every 5 s. The raw voltage readings from the light backscattering sensors on the MAPRs are directly equivalent to Nephelometric Turbidity Units8. After processing the raw data, including the removal of random noise points, five-point moving averages were calculated and the background was subtracted. We obtained anomalous Nephelometric Turbidity Units values (ΔNTU) to discriminate high-temperature and particle-rich discharge34.
Oxidation-Reduction Potential (ORP, sometimes called Eh) data from MPCS can detect hydrothermal discharge close to the source (approximately ~1 km) at all temperatures, including low-temperature diffuse venting and higher-temperature yet particle-poor plumes3. The MPCS recorded ORP data every 5 s. Different ORP sensors have different background values, for data uniformity, we added the value of 200 mv to the original data. Because raw ORP data are readily influenced by electrode potential drifting3,37, the derivative of ORP to time dE/dt is calculated every 25 s (5 points).
Combined with ultra-short baseline (UBSL) position data, a camera and video are used to identify evidence of hydrothermal activity. Photos of seabed type anomalies such as reddish or brown hydrothermal sediments, sulfide deposit, and/or the presence of hydrothermal fauna are used to infer hydrothermal anomalies.
Data Availability
The datasets generated and/or analyzed during the current study are available from the corresponding author upon reasonable request.
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Acknowledgements
We thank the science party of the 34th Chinese COMRA cruise and the crew on the R/V Dayangyihao in 2014–2015 for data collection. This study was funded by the National Key R&D Program of China under contract No. 2018YFC0309902 and the National Key Research and Development Program of China under contract No. 2017YFC0306803. We are grateful to Dr. Hanchao Jian and Dr. Yunlong Liu for providing seismic velocity model data and data analysis. We also thank Sharon L. Walker from the National Oceanic and Atmospheric Administration Pacific Ocean Environment for thoughtful suggestions on sensor data processing. We thank the reviewers and the editor for their thoughtful reviews.
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Xihe Yue and Huaiming Li wrote the main manuscript; Chunhui Tao and Jianping Zhou provided the background on Segment 27 and the multibeam sonar data of topography by Chinese Dayang cruises; Xihe Yue and Yuan Wang processed the sensor data; Jianye Ren and Xiaoxia Lü reviewed and edited the manuscript. All authors read and approved the manuscript.
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Yue, X., Li, H., Ren, J. et al. Seafloor hydrothermal activity along mid-ocean ridge with strong melt supply: study from segment 27, southwest Indian ridge. Sci Rep 9, 9874 (2019). https://doi.org/10.1038/s41598-019-46299-1
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DOI: https://doi.org/10.1038/s41598-019-46299-1
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