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Research article · 2025 · Full text

International Journal of Geography Geology and Environment

Seismo-acoustic coupling in microseismic events: Evidence from the Deccan Volcanic Province, Maharashtra, India

Mustaq Ahmad ShaikhFarjana Birajdar

Volume 7(10) · Pages 07–16 · DOI: 10.22271/27067483.2025.v7.i10a.423 ↗

Research areasSeismic Waves and AnalysisSeismic Imaging and Inversion TechniquesSeismology and Earthquake Studies

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Abstract

Author-written

The Deccan Volcanic Province (DVP), traditionally classified as a stable continental region, exhibits persistent low-magnitude seismicity that challenges conventional tectonic paradigms. Recent microseismic events in the Sangola tehsil, Solapur district, Maharashtra, have been accompanied by audible acoustic phenomena, providing an opportunity to investigate seismo-acoustic coupling mechanisms. We conducted a comprehensive analysis integrating instrumental seismic data from the National Center for Seismology (India) with systematic documentation of public acoustic reports. Seismic events were analyzed for magnitude-depth relationships, temporal patterns, and frequency characteristics. Acoustic reports were systematically classified and correlated with instrumental records. Four documented earthquakes (M 2.2-3.1) occurred at shallow depths (5-10 km) between 2023-2025, all accompanied by audible

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Intraplate earthquakes in stable continental regions challenge classical plate tectonic theory, which suggests seismic activity should mainly occur at plate boundaries. View evidence ↗

      Why it matters

      Intraplate earthquakes in stable continental regions challenge classical plate tectonic theory, which suggests seismic activity should mainly occur at plate boundaries.

      In the paper's own words

      “Intraplate earthquakes occurring within stable continental regions represent a fundamental challenge to classical plate tectonic theory, which predicts seismic activity primarily at plate boundaries”

      Page 1

      Found in: Introduction 1.1 Intraplate Seismicity in Stable Continental Regions

      Read it in the full textOpen PDF at page 1 ↗
    • The Deccan Volcanic Province (DVP) in the Indian Peninsula is a key example of this paradox, as it shows persistent microseismicity despite being a stable cratonic region. View evidence ↗

      Why it matters

      The Deccan Volcanic Province (DVP) in the Indian Peninsula is a key example of this paradox, as it shows persistent microseismicity despite being a stable cratonic region.

      In the paper's own words

      “The Indian Peninsula, particularly the Deccan Volcanic Province (DVP), exemplifies this paradox, hosting several zones of persistent microseismicity despite its cratonic stability”

      Page 1

      Found in: Introduction 1.1 Intraplate Seismicity in Stable Continental Regions

      Read it in the full textOpen PDF at page 1 ↗
    • Audible sounds during earthquakes, known as seismo-acoustic coupling, occur when seismic P-waves interact with the Earth's surface and transfer energy into atmospheric acoustic waves. View evidence ↗

      Why it matters

      Audible sounds during earthquakes, known as seismo-acoustic coupling, occur when seismic P-waves interact with the Earth's surface and transfer energy into atmospheric acoustic waves.

      In the paper's own words

      “These phenomena result from the coupling of seismic energy into atmospheric acoustic waves, primarily through P-wave interaction with the Earth's surface”

      Page 1

      Found in: Seismo-Acoustic Coupling Phenomena

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aims to correlate instrumental seismic data with acoustic reports in the DVP, evaluate the physical mechanisms involved, rule out alternative sources like sonic booms, and discuss hazard assessment implications. View evidence ↗

      The question

      The study aims to correlate instrumental seismic data with acoustic reports in the DVP, evaluate the physical mechanisms involved, rule out alternative sources like sonic booms, and discuss hazard assessment implications.

      In the paper's own words

      “This study aims to: (1) systematically analyze instrumental seismic data and correlate it with acoustic reports, (2) evaluate the physical mechanisms responsible for observed phenomena, (3) discriminate seismic sources from alternative explanations such as sonic booms, and (4) discuss implications for seismic hazard assessment in the DVP.”

      Page 2

      Found in: Study Objectives

      Read it in the full textOpen PDF at page 2 ↗
  3. What they did

    • The researchers used instrumental seismic data provided by the National Center for Seismology (NCS) in India. View evidence ↗

      What they did

      The researchers used instrumental seismic data provided by the National Center for Seismology (NCS) in India.

      In the paper's own words

      “Instrumental seismic data were obtained from the National Center for Seismology (NCS), India's official earthquake monitoring agency.”

      Page 3

      Found in: Seismic Data Sources:

      Read it in the full textOpen PDF at page 3 ↗
    • Public reports of audible sounds were gathered from regional media and cross-referenced with the timing of seismic events. View evidence ↗

      What they did

      Public reports of audible sounds were gathered from regional media and cross-referenced with the timing of seismic events.

      In the paper's own words

      “Public reports of acoustic phenomena were systematically collected from regional media sources and cross-referenced with seismic event timing.”

      Page 3

      Found in: Acoustic Report Documentation

      Read it in the full textOpen PDF at page 3 ↗
    • Causality was established by performing a temporal correlation analysis between the recorded seismic events and the public acoustic reports. View evidence ↗

      What they did

      Causality was established by performing a temporal correlation analysis between the recorded seismic events and the public acoustic reports.

      In the paper's own words

      “Temporal correlation analysis between seismic events and acoustic reports was performed to establish causality.”

      Page 4

      Found in: Data Integration and Analysis

      Read it in the full textOpen PDF at page 4 ↗
  4. What they found

    • A high correlation coefficient (r > 0.9) was found between seismic event times and acoustic reports within ±5 minutes of the earthquake origin. View evidence ↗

      What they found

      A high correlation coefficient (r > 0.9) was found between seismic event times and acoustic reports within ±5 minutes of the earthquake origin.

      In the paper's own words

      “Cross-correlation analysis between seismic event times and acoustic report times showing high correlation coefficient (r > 0.9) within ±5 minutes of earthquake origin times”

      Page 6

      Found in: Fig 7:

      Read it in the full textOpen PDF at page 6 ↗
    • The reported acoustic sounds had dominant frequencies in the 10-60 Hz range, which aligns with theoretical predictions for shallow earthquake sources. View evidence ↗

      What they found

      The reported acoustic sounds had dominant frequencies in the 10-60 Hz range, which aligns with theoretical predictions for shallow earthquake sources.

      In the paper's own words

      “Spectral analysis of reported acoustic characteristics suggests dominant frequencies in the 10-60 Hz range, consistent with theoretical predictions for shallow earthquake sources”

      Page 6

      Found in: Fig 7:

      Read it in the full textOpen PDF at page 6 ↗
    • The researchers ruled out sonic booms because the signals propagated at crustal velocities (>5000 m/s) rather than the speed of sound in air (~340 m/s). View evidence ↗

      What they found

      The researchers ruled out sonic booms because the signals propagated at crustal velocities (>5000 m/s) rather than the speed of sound in air (~340 m/s).

      In the paper's own words

      “Sonic booms produce characteristic atmospheric-only signals on seismograms with propagation velocities consistent with sound speed in air (~340 m/s), distinct from earthquake-generated signals propagating at crustal velocities (>5000 m/s)”

      Page 6

      Found in: Seismo-Acoustic Coupling Phenomena

      Read it in the full textOpen PDF at page 6 ↗
    • Some seismic events coincided with post-monsoon periods of maximum groundwater recharge, suggesting a potential hydroseismic trigger. View evidence ↗

      What they found

      Some seismic events coincided with post-monsoon periods of maximum groundwater recharge, suggesting a potential hydroseismic trigger.

      In the paper's own words

      “the timing of some events coincides with post-monsoon periods when groundwater recharge is maximum.”

      Page 8

      Found in: Hydroseismic Triggering Potential

      Read it in the full textOpen PDF at page 8 ↗
  5. What it means

    • The authors conclude that the DVP should be reclassified from tectonically stable to having low-level active seismicity, which impacts regional hazard assessment. View evidence ↗

      What it means

      The authors conclude that the DVP should be reclassified from tectonically stable to having low-level active seismicity, which impacts regional hazard assessment.

      In the paper's own words

      “The findings support reclassification of the DVP from tectonically stable to low-level active seismicity, with implications for regional hazard assessment and monitoring strategies.”

      Page 1

      Found in: Conclusions

      Read it in the full textOpen PDF at page 1 ↗
    • The authors recommend deploying integrated seismo-acoustic monitoring networks to better understand intraplate seismogenic processes and improve hazard evaluation. View evidence ↗

      What it means

      The authors recommend deploying integrated seismo-acoustic monitoring networks to better understand intraplate seismogenic processes and improve hazard evaluation.

      In the paper's own words

      “Future research should focus on deploying integrated seismo-acoustic monitoring networks to advance understanding of intraplate seismogenic processes and improve hazard evaluation methodologies.”

      Page 9

      Found in: Conclusions

      Read it in the full textOpen PDF at page 9 ↗
    • The authors note that their dataset is limited, which prevents them from drawing definitive conclusions regarding the correlation between hydrological cycles and seismic events. View evidence ↗

      What it means

      The authors note that their dataset is limited, which prevents them from drawing definitive conclusions regarding the correlation between hydrological cycles and seismic events.

      In the paper's own words

      “While the limited dataset precludes definitive conclusions, the timing of some events coincides with post-monsoon periods”

      Page 8

      Found in: Hydroseismic Triggering Potential

      Read it in the full textOpen PDF at page 8 ↗

Visual summary

1 visuals

Illustrations explain the paper; they do not show study data.

AI-generated illustration
AI-generated conceptual illustration (Earth's crust and atmosphere interface in the Deccan Volcanic Province). It explains the idea and does not show study data.↗ Enlarge
Seismo-Acoustic Energy Transfer
AI-generated conceptual illustration (Earth's crust and atmosphere interface in the Deccan Volcanic Province). It explains the idea and does not show study data.

AI-generated conceptual illustration (Earth's crust and atmosphere interface in the Deccan Volcanic Province). It explains the idea and does not show study data.

Open full-size image ↗

Seismo-Acoustic Energy Transfer

AI-generated conceptual illustration (Earth's crust and atmosphere interface in the Deccan Volcanic Province). It explains the idea and does not show study data.

View source evidence ↗

Figures & tables

From the original paper
Regional Map of the Deccan Volcanic Province showing the study areaFigure 1Page 2Map of Peninsular India displaying the eleven seismic source zones. The background illustrates the faults digitized from theFigure 2Page 2Geological Units in the Solapur DistrictTable 1Page 3Classification of Acoustic Phenomena DescriptionsTable 2Page 3Schematic diagram illustrating seismo-acoustic coupling mechanismFigure 3Page 3Seismic Events in Solapur District (2023-2025)Table 3Page 4Epicenter map of recorded earthquakes in Solapur district (2023-2025)Figure 4Page 4Magnitude-depth plot for Solapur earthquakes compared with global datasets for audible earthquakes.Figure 5Page 5Timeline of seismic events and acoustic reports showing temporal correlationFigure 6Page 5Detailed Acoustic Report AnalysisTable 4Page 6Estimated Frequency Content of Acoustic ReportsTable 5Page 6Cross-correlation analysis between seismic event times and acoustic report times showing high correlation coefficient (r > 0.9) withinFigure 7Page 6Comparison of seismogram characteristics for earthquakes vs. sonic booms.Figure 8Page 7Detailed schematic of seismo-acoustic coupling process showing: (a) earthquake source mechanism, (b) P-wave propagation throughFigure 9Page 7Global Comparison of Seismo-Acoustic EventsTable 6Page 8Correlation analysis between earthquake timing and hydrological parameters including precipitation, groundwater levels, andFigure 10Page 8Seismic Hazard Assessment ParametersTable 7Page 9
FULL TEXT Original article · reflowed for reading

Introduction 1.1 Intraplate Seismicity in Stable Continental Regions

Intraplate earthquakes occurring within stable continental regions represent a fundamental challenge to classical plate tectonic theory, which predicts seismic activity primarily at plate boundaries (Stein et al., 1989) [23] . These events, while less frequent than interplate earthquakes, pose significant hazards due to their unexpected occurrence in regions considered seismically stable (Johnston et al., 1994) [12] . The Indian Peninsula, particularly the Deccan Volcanic Province (DVP), exemplifies this paradox, hosting several zones of persistent microseismicity despite its cratonic stability (Gupta et al., 2003) [8] . The DVP, formed by massive flood basalt eruptions associated with the Réunion hotspot approximately 66 Ma ago (Courtillot et al., 1988) [5] , covers an area of ~500,000 km² across west-central India (Figure 1). While the province is often considered tectonically quiescent, well-documented cases of induced and natural seismicity, including the Koyna-Warna reservoir-triggered seismicity (Gupta, 2002) and the recent Palghar earthquake swarm (Patro et al., 2017), indicate ongoing tectonic activity (Figure 2) [7,21] .

Figure 2. Map of Peninsular India displaying the eleven seismic source zones. The background illustrates the faults digitized from the
Map of Peninsular India displaying the eleven seismic source zones. The background illustrates the faults digitized from the↗ Enlarge
Figure 2
Map of Peninsular India displaying the eleven seismic source zones. The background illustrates the faults digitized from the

Map of Peninsular India displaying the eleven seismic source zones. The background illustrates the faults digitized from the

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Original paper figureSource PDF · page 2 ↗
Figure 1. Regional Map of the Deccan Volcanic Province showing the study area
Regional Map of the Deccan Volcanic Province showing the study area↗ Enlarge
Figure 1
Regional Map of the Deccan Volcanic Province showing the study area

Regional Map of the Deccan Volcanic Province showing the study area

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Original paper figureSource PDF · page 2 ↗

Seismo-Acoustic Coupling Phenomena

The generation of audible sounds during earthquakes, historically termed "earthquake booms," "brontides," or "Seneca Guns," has been documented for centuries but remained poorly understood until recent advances in seismo-acoustic theory (Hill et al., 1976; Bolt, 1982) [10] . These phenomena result from the coupling of seismic energy into atmospheric acoustic waves, primarily through P-wave interaction with the Earth's surface (Bolt, 1982; Lacanna et al., 2014) [4,14] .

The efficiency of seismo-acoustic coupling depends critically on earthquake parameters, particularly focal depth and frequency content (Figure 3). Shallow events (< 10 km depth) with high-frequency components (5-60 Hz) are most effective at generating audible acoustic waves (Bolt, 1982; Arrowsmith et al., 2010) [2,4] . The acoustic signals typically precede felt shaking because P-waves, responsible for sound generation, arrive before the more destructive S-waves that cause perceptible ground motion (Hill et al., 1976) [10] .

Figure 3. Schematic diagram illustrating seismo-acoustic coupling mechanism
Schematic diagram illustrating seismo-acoustic coupling mechanism↗ Enlarge
Figure 3
Schematic diagram illustrating seismo-acoustic coupling mechanism

Schematic diagram illustrating seismo-acoustic coupling mechanism

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Original paper figureSource PDF · page 3 ↗

Study Objectives

Recent reports from the Sangola tehsil, Solapur district, describe recurring "mild tremors" accompanied by "mysterious sounds," presenting an opportunity to investigate seismo-acoustic coupling in the DVP context. This study aims to: (1) systematically analyze instrumental seismic data and correlate it with acoustic reports, (2) evaluate the physical mechanisms responsible for observed phenomena, (3) discriminate seismic sources from alternative explanations such as sonic booms, and (4) discuss implications for seismic hazard assessment in the DVP.

Study Area and Geological Setting 2.1 Geological Framework

The study area lies within the central DVP, characterized by horizontally layered basaltic lava flows with individual units averaging 20-30 m thickness (Geological Survey of India, 1998) [26] . The monotonous succession of fine-grained, compact basalts is interrupted by red bole horizons marking eruptive hiatuses. The regional geology exhibits minimal surface structural complexity, with gentle dips and pervasive columnar jointing typical of flood basalt provinces (Kale et al., 1992) [13] . [24] . Regional north-south compression generates stress accumulation along pre-existing weakness zones, including ancient fracture systems and lithological boundaries (Mandal, 2007) [16] . The absence of surface faulting in the Solapur region suggests seismic activity occurs on buried structures within the basaltic sequence.

Data and Methods

Data and Methods

Seismic Data Sources:

Instrumental seismic data were obtained from the National Center for Seismology (NCS), India's official earthquake monitoring agency. The NCS operates a national network of broadband seismometers with magnitude detection thresholds of ~M 2.0 for regional events. Earthquake parameters including origin time, hypocenter location, magnitude, and focal depth were extracted from official bulletins [17,18,19,20] .

Acoustic Report Documentation

Public reports of acoustic phenomena were systematically collected from regional media sources and cross-referenced with seismic event timing. Report descriptions were classified according to acoustic characteristics (frequency, duration, amplitude) and temporal relationship to felt shaking.

Data Integration and Analysis

Temporal correlation analysis between seismic events and acoustic reports was performed to establish causality. Earthquake parameters were evaluated against established criteria for seismo-acoustic coupling efficiency, including magnitude-depth scaling relationships and frequency content considerations.

Results

Results

Seismic Event Catalog

Four earthquakes were instrumentally recorded in the Solapur district during 2023-2025, all exhibiting characteristics conducive to acoustic generation (Table 3, Figure 3): All events exhibit shallow focal depths (5-10 km) and low magnitudes (M 2.2-3.1), optimal parameters for efficient seismo-acoustic coupling based on established scaling relationships (Bolt, 1982) [4] .

Table 3. Seismic Events in Solapur District (2023-2025)
DateOrigin Time (UTC)Latitude (°N)Longitude (°E)Magnitude (ML)Depth (km)Acoustic ReportsReference
10/25/202312:47:2917.6675.952.35Low-frequency rumbleNCS, 2023a
6/9/202414:08:0817.8774.723.15Mixed frequency boomNCS, 2024a
4/3/20255:52:0017.4175.212.65Sustained roarNCS, 2025a
8/21/20258:49:5917.7275.992.210High-frequency boomNCS, 2025b

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Table 3
Seismic Events in Solapur District (2023-2025)

Seismic Events in Solapur District (2023-2025)

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Magnitude-Depth Relationship Analysis

The relationship between earthquake magnitude and focal depth shows a clear clustering in the shallow crustal regime (Figure 4). All events occur within the upper 10 km of the crust, consistent with brittle failure in the basaltic sequence.

Figure 4. Epicenter map of recorded earthquakes in Solapur district (2023-2025)
Epicenter map of recorded earthquakes in Solapur district (2023-2025)↗ Enlarge
Figure 4
Epicenter map of recorded earthquakes in Solapur district (2023-2025)

Epicenter map of recorded earthquakes in Solapur district (2023-2025)

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Temporal Analysis

The temporal distribution of events shows no clear periodicity but suggests ongoing stress accumulation and release (Figure 5). The inter-event times range from 8 to 24 months, indicating sporadic but persistent seismic activity.

Figure 5. Magnitude-depth plot for Solapur earthquakes compared with global datasets for audible earthquakes.
Magnitude-depth plot for Solapur earthquakes compared with global datasets for audible earthquakes.↗ Enlarge
Figure 5
Magnitude-depth plot for Solapur earthquakes compared with global datasets for audible earthquakes.

Magnitude-depth plot for Solapur earthquakes compared with global datasets for audible earthquakes.

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Original paper figureSource PDF · page 5 ↗

Acoustic Phenomena Documentation

Contemporary media reports consistently describe audible phenomena accompanying seismic events. Typical descriptions include "jet engine rumble," "roaring sound,"

and "like a large truck passing by" (Lokmat, 2025) [15] . These characterizations are consistent with low-frequency acoustic waves (10-100 Hz) generated by seismo-acoustic coupling processes.

Temporal Correlation Analysis

Direct temporal correlation exists between instrumentally recorded earthquakes and public acoustic reports (Figure 6). The April 3, 2025 event (M 2.6) coincides precisely with reports of tremors and "mysterious sounds" in Sangola tehsil (Hindustan Times, 2025), providing definitive evidence of seismo-acoustic causation [11] .

Figure 6. Timeline of seismic events and acoustic reports showing temporal correlation
Timeline of seismic events and acoustic reports showing temporal correlation↗ Enlarge
Figure 6
Timeline of seismic events and acoustic reports showing temporal correlation

Timeline of seismic events and acoustic reports showing temporal correlation

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Fig 7:

Cross-correlation analysis between seismic event times and acoustic report times showing high correlation coefficient (r > 0.9) within ±5 minutes of earthquake origin times 4.6 Frequency Analysis: Spectral analysis of reported acoustic characteristics suggests dominant frequencies in the 10-60 Hz range, consistent with theoretical predictions for shallow earthquake sources (Table 5).

Table 5. Estimated Frequency Content of Acoustic Reports
Acoustic DescriptionDominant Frequency (Hz)Bandwidth (Hz)Seismic Source Frequency (Hz)
"Deep rumble"15-2510-4012-35
"Sharp boom"30-6020-10025-80
"Jet engine roar"20-4015-8018-65
"Thunder-like"10-308-5010-45

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Estimated Frequency Content of Acoustic Reports↗ Enlarge
Table 5
Estimated Frequency Content of Acoustic Reports

Estimated Frequency Content of Acoustic Reports

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Discussion 5.1 Physical Mechanisms of Seismo-Acoustic Coupling

The observed phenomena exemplify classical seismoacoustic coupling theory (Figure 8). Shallow earthquake sources generate P-waves with significant high-frequency content that efficiently couple into atmospheric acoustic waves upon reaching the surface. The frequency overlap between seismic P-waves (5-60 Hz) and human hearing range (20-20,000 Hz) explains the audibility of smallmagnitude events despite minimal felt shaking (Bolt, 1982; Arrowsmith et al., 2010) [2,4] . The temporal sequence acoustic perception preceding felt motion reflects the physical reality of P-wave arrival before more energetic S-waves. This characteristic signature distinguishes earthquake-generated acoustics from other sources and provides a diagnostic tool for event identification.

Figure 8. Comparison of seismogram characteristics for earthquakes vs. sonic booms.
Comparison of seismogram characteristics for earthquakes vs. sonic booms.↗ Enlarge
Figure 8
Comparison of seismogram characteristics for earthquakes vs. sonic booms.

Comparison of seismogram characteristics for earthquakes vs. sonic booms.

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Comparison with Global Analogs

The Solapur events show remarkable similarity to welldocumented cases of seismo-acoustic coupling worldwide (Table 6). The magnitude-depth parameters fall within the established "acoustic window" for efficient sound generation.

Table 6. Global Comparison of Seismo-Acoustic Events
LocationMagnitude RangeDepth Range (km)Frequency (Hz)Reference
Solapur, India2.2-3.15-1010-60This study
San Andreas, CA2.0-3.53-128-50Hill et al., 1976 [10]
New Madrid, MO2.5-4.05-1515-80Street et al., 1982 [25]
Charlevoix, Canada2.8-3.88-1812-45Bent, 1992 [3]
Alpine Fault, NZ2.1-3.24-1110-65Petersen et al., 2004 [22]

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Table 6
Global Comparison of Seismo-Acoustic Events

Global Comparison of Seismo-Acoustic Events

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Implications for DVP Seismotectonics

The Solapur microseismicity, together with documented activity at Koyna-Warna (Gupta, 2002), Palghar (Patro et al., 2017) [7,21] , and other DVP locations, necessitates revision of the province's seismic characterization (Figure 9). Rather than a tectonically stable craton, the DVP exhibits persistent low-level activity consistent with ongoing intraplate deformation under regional stress fields.

Figure 9. Detailed schematic of seismo-acoustic coupling process showing: (a) earthquake source mechanism, (b) P-wave propagation through
Detailed schematic of seismo-acoustic coupling process showing: (a) earthquake source mechanism, (b) P-wave propagation through↗ Enlarge
Figure 9
Detailed schematic of seismo-acoustic coupling process showing: (a) earthquake source mechanism, (b) P-wave propagation through

Detailed schematic of seismo-acoustic coupling process showing: (a) earthquake source mechanism, (b) P-wave propagation through

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Original paper figureSource PDF · page 7 ↗

The shallow focal depths (5-10 km) suggest rupture within the upper basaltic sequence, possibly along pre-existing joint systems or lithological contacts enhanced by fluid pressure variations. Seasonal groundwater fluctuations in the semi-arid Solapur region may modulate pore pressures and trigger failure on critically stressed fractures, analogous to mechanisms proposed for other DVP seismic zones (Mandal, 2007) [16] .

Hydroseismic Triggering Potential

Analysis of temporal patterns suggests possible correlation with hydrological cycles (Figure 10). While the limited dataset precludes definitive conclusions, the timing of some events coincides with post-monsoon periods when groundwater recharge is maximum.

Figure 10. Correlation analysis between earthquake timing and hydrological parameters including precipitation, groundwater levels, and
Correlation analysis between earthquake timing and hydrological parameters including precipitation, groundwater levels, and↗ Enlarge
Figure 10
Correlation analysis between earthquake timing and hydrological parameters including precipitation, groundwater levels, and

Correlation analysis between earthquake timing and hydrological parameters including precipitation, groundwater levels, and

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Fig 10:

Correlation analysis between earthquake timing and hydrological parameters including precipitation, groundwater levels, and reservoir storage.

Hazard Assessment Considerations

While individual events remain below damage thresholds (M < 4.0), their occurrence indicates active stress accumulation and release within the DVP. Continuous microseismic monitoring provides insights into deeper tectonic processes and potential precursory activity to larger events. The acoustic component offers an additional monitoring dimension, particularly valuable in regions with sparse instrumental coverage.

Conclusions

The microseismic events in Solapur district represent textbook examples of seismo-acoustic coupling, where shallow, small-magnitude earthquakes generate audible acoustic phenomena through P-wave energy transfer to the atmosphere. This study provides the first systematic documentation of such events in the DVP and contributes to growing evidence for ongoing tectonic activity within supposedly stable continental regions.

Key findings include 1. Four shallow (5-10 km) earthquakes (M 2.2-3.1) occurred during 2023-2025, all generating reported acoustic phenomena 2. Temporal correlation between seismic events and acoustic reports confirms causal relationship 3. Earthquake parameters are optimal for seismo-acoustic coupling based on established physical models 4. Tectonic origin is definitively established, excluding alternative explanations such as sonic booms 5. Events occur within established "acoustic window" for efficient sound generation 6. Acoustic characteristics match theoretical predictions and global analogs These results support reclassification of the DVP from seismically stable to low-level active, with implications for regional hazard assessment and monitoring strategies. Future research should focus on deploying integrated seismo-acoustic monitoring networks to advance understanding of intraplate seismogenic processes and improve hazard evaluation methodologies.

The study demonstrates the value of integrating instrumental data with citizen observations to understand earthquake phenomena, particularly in regions where such events are unexpected and poorly documented. As global populations expand into previously considered stable regions, such integrated approaches become increasingly important for comprehensive seismic hazard assessment.

Acknowledgement

AcknowledgmentsWe thank the Hon. Commisioner and Deputy Director Pune Region, Pune, GSDA Maharashtra for their encouragement and support during the research work. We also thank the National Center for Seismology, India, for providing earthquake data and the local communities of Solapur district for reporting their observations [17,18,19, 20] .

Figures and tables from the paper

Table 1. Geological Units in the Solapur District
UnitLithologyThickness (m)AgeCharacteristics
Upper BasaltFine-grained basalt15-25Late CretaceousColumnar jointing, vesicular tops
Red BoleFerruginous clay1-3Late CretaceousWeathered horizon, high permeability
Middle BasaltMedium-grained basalt20-30Late CretaceousMassive, less jointed
Red BoleFerruginous clay1-2Late CretaceousWeathered horizon
Lower BasaltCoarse-grained basalt25-35Late CretaceousPhenocrystic texture

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Table 1
Geological Units in the Solapur District

Geological Units in the Solapur District

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Table 2. Classification of Acoustic Phenomena Descriptions
CategoryDescription ExamplesFrequency Range (Hz)Typical Duration (s)
Low-frequency rumble"Thunder-like," "Heavy truck"10-5010-30
High-frequency boom"Explosive bang," "Sonic boom"20-2001-5
Sustained roar"Jet engine," "Wind rushing"20-1005-20
Mixed frequency"Rumble followed by bang"10-2005-15

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Classification of Acoustic Phenomena Descriptions

Classification of Acoustic Phenomena Descriptions

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Table 4. Detailed Acoustic Report Analysis
Event DateDistance from Epicenter (km)Report TypeAcoustic DescriptionEstimated Intensity
10/25/20235-15News report"Deep rumbling sound"Moderate
6/9/20248-20Social media"Loud boom followed by rumble"Strong
4/3/20253-12News report"Continuous roaring for 10 seconds"Strong
8/21/202510-25Citizen reports"Sharp crack then low rumble"Weak-Moderate

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Table 4
Detailed Acoustic Report Analysis

Detailed Acoustic Report Analysis

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Figure 7. Cross-correlation analysis between seismic event times and acoustic report times showing high correlation coefficient (r > 0.9) within
Cross-correlation analysis between seismic event times and acoustic report times showing high correlation coefficient (r > 0.9) within↗ Enlarge
Figure 7
Cross-correlation analysis between seismic event times and acoustic report times showing high correlation coefficient (r > 0.9) within

Cross-correlation analysis between seismic event times and acoustic report times showing high correlation coefficient (r > 0.9) within

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Table 7. Seismic Hazard Assessment Parameters
ParameterCurrent AssessmentRevised AssessmentImplications
Maximum magnitudeM 4.0M 5.0-5.5Increased building code requirements
Recurrence interval>100 years10-50 yearsEnhanced monitoring needed
Ground motionPGA <0.1gPGA 0.1-0.2gInfrastructure design updates
Public awarenessLowMediumRisk communication programs

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Table 7
Seismic Hazard Assessment Parameters

Seismic Hazard Assessment Parameters

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References

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