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Site class based seismic magnitude prediction equations for earthquake early warning

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Abstract

Although earthquake early warning (EEW) systems have advanced significantly, accurately determining earthquake parameters from the initial 3 s of P-wave motion remains challenging. Factors such as the complexity of the earthquake source and variability of ground motion due to site conditions contribute to this difficulty. This article aims to investigate how local site conditions impact the correlation between EEW parameters and earthquake magnitude, to better understand the influence of site conditions on the accuracy of EEW systems. Specifically, the study examines the effect of variation site conditions on commonly used EEW parameters, such as average characteristic period (τc) and peak displacement amplitude (Pd), for different site classes. A dataset of 432 strong-motion records with magnitude ranging from 5 to 7.3 was analyzed and site characterization information from the Kiban Kyoshin Network (KiK-net) in Japan was used. A linear relationship between EEW parameters (τc, Pd) and magnitude for the combined dataset (all data), as well as separate datasets based on site classes C (very dense soil and soft rock) and D (stiff soil site), was developed, and then the statistical parameters, correlation coefficient value (R), and standard deviation error (SD) in the linear regression analysis were compared. The study finds that τc and Pd have a significant correlation with magnitude when separate correlations are developed for site classes C and D. Absolute residual error and percentage error analyses were carried out. It was found that magnitude prediction errors were reduced particularly for class D sites. Overall, the study suggests need for use of site class based magnitude prediction equations in earthquake early warning, especially for softer soil sites.

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Data Availability

All the data supporting the findings of this study are available within the article.

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Acknowledgements

The authors would like to gratefully acknowledge the Centre of Excellence in Disaster Mitigation and Management, Indian Institute of Technology Roorkee, for providing the necessary computational facilities in accomplishing this research study.

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Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. A Mugesh, Aniket Desai, Ravi S Jakka, and Kamal performed material preparation, data collection, and analysis. The first draft of the manuscript was written by A Mugesh and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ravi S. Jakka.

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The authors have no competing interests to declare that are relevant to the content of this article.

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Appendix

Appendix

Site classification details for KiK-net sites are provided based on NEHRP guidelines, along with corresponding epicentral distances for each site.

S. no

Station

Time-averaged shear wave velocity Vs30 (m/s)

Site class

Station latitude

Station longitude

Epicentral distance (km)

1

FKSH12

449

C

37.2169

140.57

35

2

IBRH12

486

C

36.8369

140.318

87

3

IBRH16

626

C

36.6405

140.398

74

4

IBRH18

559

C

36.3631

140.62

76

5

TCGH06

369

C

36.4458

139.951

33

6

TCGH13

574

C

36.7342

140.178

71

7

IBRH12

486

C

36.8369

140.318

52

8

IBRH15

450

C

36.5566

140.301

32

9

IBRH16

626

C

36.6405

140.398

30

10

IBRH18

559

C

36.3631

140.62

8

11

IBRH19

692

C

36.2137

140.089

54

12

SITH06

369

C

36.1131

139.289

25

13

TCGH13

574

C

36.7342

140.178

52

14

FKSH10

487

C

37.1616

140.093

67

15

FKSH12

449

C

37.2169

140.57

56

16

IBRH12

486

C

36.8369

140.318

29

17

IBRH15

450

C

36.5566

140.301

33

18

IBRH16

626

C

36.6405

140.398

21

19

TCGH10

371

C

36.8578

140.023

55

20

TCGH13

574

C

36.7342

140.178

39

21

FKSH10

487

C

37.1616

140.093

56

22

IBRH12

486

C

36.8369

140.318

20

23

IBRH15

450

C

36.5566

140.301

34

24

IBRH16

626

C

36.6405

140.398

22

25

IBRH18

559

C

36.3631

140.62

49

26

TCGH13

574

C

36.7342

140.178

33

27

GNMH12

407

C

36.144

138.913

85

28

IBRH15

450

C

36.5566

140.301

65

29

IBRH18

559

C

36.3631

140.62

74

30

SITH05

670

C

36.1509

139.05

73

31

SITH06

369

C

36.1131

139.289

51

32

SITH10

542

C

35.9964

139.219

59

33

SITH11

372

C

35.8637

139.273

59

34

KMMH01

575

C

33.1089

130.695

40

35

KMMH02

577

C

33.122

131.063

43

36

KMMH03

421

C

32.9984

130.83

25

37

KMMH06

568

C

32.8114

131.101

24

38

KMMH09

400

C

32.4901

130.905

32

39

KMMH12

410

C

32.2054

130.737

64

40

MYZH04

484

C

32.5181

131.335

54

41

MYZH08

374

C

32.2132

131.531

89

42

OITH11

459

C

33.2844

131.212

66

43

FKSH12

449

C

37.2169

140.57

22

44

IBRH12

486

C

36.8369

140.318

41

45

IBRH16

626

C

36.6405

140.398

53

46

IBRH18

559

C

36.3631

140.62

76

47

FKSH10

487

C

37.1616

140.093

60

48

IBRH12

486

C

36.8369

140.318

23

49

IBRH15

450

C

36.5566

140.301

35

50

IBRH16

626

C

36.6405

140.398

22

51

IBRH18

559

C

36.3631

140.62

47

52

TCGH13

574

C

36.7342

140.178

35

53

FKSH10

487

C

37.1616

140.093

65

54

FKSH12

449

C

37.2169

140.57

55

55

IBRH12

486

C

36.8369

140.318

26

56

IBRH15

450

C

36.5566

140.301

30

57

IBRH16

626

C

36.6405

140.398

18

58

IBRH18

559

C

36.3631

140.62

40

59

TCGH13

574

C

36.7342

140.178

35

60

KMMH01

575

C

33.1089

130.695

42

61

KMMH02

577

C

33.122

131.063

48

62

KMMH03

421

C

32.9984

130.83

29

63

KMMH06

568

C

32.8114

131.101

28

64

KMMH09

400

C

32.4901

130.905

29

65

KMMH12

410

C

32.2054

130.737

60

66

MYZH15

446

C

32.3654

131.589

84

67

OITH11

459

C

33.2844

131.212

71

68

FKSH21

365

C

37.3421

139.315

75

69

NGNH29

465

C

36.9102

138.441

16

70

NIGH11

375

C

37.1728

138.744

25

71

NIGH12

553

C

37.2239

138.982

43

72

NIGH13

461

C

37.0544

138.397

19

73

NIGH14

438

C

37.0303

138.852

23

74

NIGH15

686

C

37.0533

138.995

36

75

NIGH19

625

C

36.8114

138.785

25

76

TCGH07

419

C

36.8817

139.453

77

77

IWTH02

390

C

39.825

141.383

11

78

IWTH03

733

C

39.802

141.652

13

79

IWTH07

396

C

40.2705

141.571

18

80

IWTH12

368

C

40.1533

141.425

10

81

IWTH21

521

C

39.4734

141.934

15

82

IWTH27

670

C

39.0307

141.532

19

83

FKSH08

563

C

37.2822

140.214

55

84

FKSH09

585

C

37.353

140.426

50

85

FKSH10

487

C

37.1616

140.093

57

86

FKSH12

449

C

37.2169

140.57

31

87

IBRH12

486

C

36.8369

140.318

34

88

IBRH15

450

C

36.5566

140.301

54

89

IBRH16

626

C

36.6405

140.398

42

90

TCGH13

574

C

36.7342

140.178

50

91

KMMH01

575

C

33.1089

130.695

40

92

KMMH02

577

C

33.122

131.063

50

93

KMMH03

421

C

32.9984

130.83

28

94

KMMH06

568

C

32.8114

131.101

32

95

KMMH09

400

C

32.4901

130.905

32

96

KMMH10

463

C

32.3151

130.181

73

97

KMMH12

410

C

32.2054

130.737

61

98

MYZH04

484

C

32.5181

131.335

60

99

OITH11

459

C

33.2844

131.212

72

100

SAGH04

724

C

33.3654

130.405

76

101

IBRH11

242

D

36.3701

140.14

37

102

IBRH17

301

D

36.0864

140.314

46

103

TCGH11

329

D

36.7084

139.769

60

104

TCGH12

344

D

36.6959

139.984

61

105

TCGH16

213

D

36.548

140.075

48

106

IBRH11

242

D

36.3701

140.14

44

107

IBRH13

335

D

36.7955

140.575

40

108

IBRH17

301

D

36.0864

140.314

48

109

TCGH16

213

D

36.548

140.075

51

110

IBRH11

242

D

36.3701

140.14

57

111

IBRH13

335

D

36.7955

140.575

9

112

TCGH12

344

D

36.6959

139.984

56

113

TCGH16

213

D

36.548

140.075

51

114

IBRH11

242

D

36.3701

140.14

60

115

IBRH13

335

D

36.7955

140.575

10

116

TCGH12

344

D

36.6959

139.984

50

117

IBRH11

242

D

36.3701

140.14

40

118

IBRH17

301

D

36.0864

140.314

40

119

TCGH11

329

D

36.7084

139.769

69

120

KMMH14

248

D

32.6345

130.752

18

121

KMMH16

280

D

32.7967

130.82

6

122

FKSH11

240

D

37.2006

140.339

36

123

FKSH14

237

D

37.0264

140.97

25

124

FKSH19

338

D

37.4703

140.723

47

125

FKSH20

350

D

37.4911

140.987

55

126

IBRH11

242

D

36.3701

140.14

90

127

TCGH16

213

D

36.548

140.075

78

128

IBRH11

242

D

36.3701

140.14

60

129

IBRH13

335

D

36.7955

140.575

9

130

IBRH17

301

D

36.0864

140.314

81

131

TCGH16

213

D

36.548

140.075

51

132

IBRH13

335

D

36.7955

140.575

8

133

TCGH16

213

D

36.548

140.075

48

134

KMMH14

248

D

32.6345

130.752

13

135

KMMH16

280

D

32.7967

130.82

6

136

GNMH13

323

D

36.862

139.063

44

137

NIGH06

336

D

37.6527

139.068

85

138

NIGH18

311

D

36.9425

138.259

30

139

IWTH08

305

D

40.2686

141.783

17

140

FKSH11

240

D

37.2006

140.339

41

141

FKSH14

237

D

37.0264

140.97

28

142

IBRH13

335

D

36.7955

140.575

19

143

KMMH14

248

D

32.6345

130.752

13

144

KMMH16

280

D

32.7967

130.82

7

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Mugesh, A., Desai, A., Jakka, R.S. et al. Site class based seismic magnitude prediction equations for earthquake early warning. J Seismol (2024). https://doi.org/10.1007/s10950-024-10213-8

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  • DOI: https://doi.org/10.1007/s10950-024-10213-8

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