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Table 3 Comparisons between the present-day RSL rates at the Tide-Gauge stations of East Asia predicted from GIA model RF3L20(β=0.4)+ICE-4G and those from tide gauges (Ding, 2005; Wang et al., 2010).

From: The role of glacial isostatic adjustment in the present-day crustal motion and sea levels of East Asia

Sites

No.

Long. °E

Latt. °N

sGIA mm/yr

mm/yr

mm/yr

mm/yr

mm/yr

sTG mm/yr

s′ mm/yr

Wakkanai

1

141.68

45.42

−0.18

−0.21

−0.24

−0.18

0.02

2.9

3.08

Abashiri

2

144.28

44.02

−0.07

−0.09

−0.10

−0.04

0.01

1.63

1.7

Kushiro

3

144.38

42.97

−0.02

−0.06

−0.07

0.01

0.02

8.97

8.99

Hakodate

4

140.73

41.78

−0.11

−0.15

−0.18

−0.10

0.02

−0.14

−0.03

Huludao

5

121.00

40.72

−0.39

−0.32

−0.40

−0.46

0.05

0.68

1.07

Yingkou

6

122.15

40.63

−0.37

−0.32

−0.40

−0.44

0.05

1.8

2.17

Hachinohe

7

141.53

40.53

−0.11

−0.13

−0.16

−0.09

0.02

5.14

5.25

Qinghuangdao

8

119.62

39.92

−0.39

−0.32

−0.40

−0.46

0.05

−2.12

−1.73

0funato

9

141.75

39.02

−0.10

−0.12

−0.16

−0.08

0.02

5.23

5.33

Tanggu

10

117.72

39.00

−0.40

−0.31

−0.40

−0.46

0.05

2.3

2.7

Dalian

11

121.67

38.92

−0.32

−0.28

−0.35

−0.37

0.05

1.51

1.83

Lushun

12

121.25

38.80

−0.32

−0.28

−0.35

−0.37

0.05

5.38

5.7

Longkou

13

120.32

37.62

−0.32

−0.27

−0.35

−0.36

0.05

0.08

0.4

Yantai

14

121.38

37.55

−0.27

−0.24

−0.31

−0.31

0.04

0.12

0.39

Chengshantou

15

122.70

37.38

−0.22

−0.19

−0.25

−0.25

0.03

−1.19

−0.97

Yangjiaogou

16

118.87

37.27

−0.36

−0.29

−0.38

−0.41

0.05

3.35

3.71

Toyama

17

137.22

36.77

−0.33

−0.16

−0.23

−0.34

0.04

2.3

2.63

Yushankou

18

121.48

36.70

−0.23

−0.20

−0.26

−0.26

0.04

−2.18

−1.95

Qingdao

19

120.32

36.08

−0.27

−0.24

−0.32

−0.31

0.04

0.64

0.91

Shijiusuo

20

119.55

35.38

−0.30

−0.25

−0.33

−0.33

0.05

0.36

0.66

Mera

21

139.83

34.92

−0.20

−0.14

−0.21

−0.19

0.04

3.46

3.66

Hamada

22

132.07

34.90

0

0.01

−0.03

0.03

0.03

5.88

5.88

Lianyungang

23

119.42

34.75

−0.30

−0.25

−0.33

−0.32

0.05

−1.91

−1.61

Maisaka

24

137.62

34.68

−0.31

−0.15

−0.23

−0.32

0.04

−2.23

−1.92

Miyakejima

25

139.48

34.06

−0.14

−0.12

−0.19

−0.12

0.04

−3.7

−3.56

Kushimoto

26

135.78

33.47

−0.26

−0.11

−0.19

−0.26

0.04

2.24

2.5

Nagasaki

27

129.87

32.73

0.17

0.16

0.13

0.23

0.03

3.13

2.96

Hosojima

28

131.68

32.42

0.07

0.08

0.03

0.11

0.03

−0.57

−0.64

Lvsi

29

121.62

32.13

−0.09

−0.07

−0.13

−0.09

0.03

5.91

6

Aburatsu

30

131.42

31.57

0.09

0.10

0.05

0.13

0.03

1.13

1.04

Wusong

31

121.50

31.38

−0.13

−0.10

−0.16

−0.13

0.03

2.61

2.74

Dajishan

32

122.17

30.82

−0.05

−0.02

−0.08

−0.03

0.03

4.68

4.73

Luhuashan

33

122.60

30.82

−0.03

0

−0.06

−0.01

0.03

3.36

3.39

Nishinoomote

34

130.99

30.73

0.13

0.13

0.08

0.18

0.04

2.19

2.06

Changtu

35

122.30

30.25

−0.07

−0.04

−0.11

−0.06

0.03

2.09

2.16

Dinghai

36

122.07

30.00

−0.09

−0.05

−0.12

−0.07

0.03

3.74

3.83

Zhenhai

37

121.72

29.95

−0.09

−0.06

−0.13

−0.08

0.03

4.18

4.27

Dachen

38

121.90

28.45

−0.10

−0.05

−0.13

−0.08

0.04

2.92

3.02

Naze

39

129.50

28.38

0.13

0.16

0.11

0.19

0.04

2.44

2.31

Kanmen

40

121.28

28.08

−0.14

−0.08

−0.16

−0.13

0.04

1.59

1.73

Sansha

41

120.22

26.92

−0.22

−0.12

−0.21

−0.22

0.04

0.23

0.45

Naha

42

127.67

26.22

0.12

0.15

0.10

0.17

0.04

1.79

1.67

Pingtan

43

119.85

25.45

−0.24

−0.13

−0.22

−0.24

0.04

1.02

1.26

Jilong

44

121.75

25.15

0

0

−0.06

0.03

0.04

4.71

4.71

Xiamen

45

118.07

24.45

−0.28

−0.15

−0.24

−0.28

0.04

5.73

6.01

Ishigaki

46

124.15

24.33

0.16

0.13

0.08

0.22

0.04

1.84

1.68

Shantou

47

116.75

23.33

−0.30

−0.17

−0.26

−0.31

0.04

−1.19

−0.89

Huangpu

48

113.45

23.10

−0.40

−0.25

−0.34

−0.42

0.05

0.07

0.47

Shanwei

49

115.35

22.75

−0.28

−0.17

−0.25

−0.29

0.04

1.18

1.46

Gaoxiong

50

120.29

22.61

0.07

0.03

−0.02

0.11

0.03

4.49

4.42

Chiwan

51

113.87

22.47

−0.27

−0.18

−0.26

−0.28

0.04

0.25

0.52

Hongkong

52

114.20

22.30

−0.24

−0.17

−0.24

−0.25

0.04

1.24

1.48

Zhapo

53

111.83

21.58

−0.29

−0.20

−0.27

−0.30

0.04

1.69

1.98

Beihai

54

109.08

21.48

−0.32

−0.24

−0.31

−0.34

0.04

1.74

2.06

Weizhou

55

109.12

20.02

−0.24

−0.18

−0.24

−0.26

0.03

3.16

3.4

Haikou

56

110.28

20.02

−0.18

−0.13

−0.18

−0.19

0.02

6.85

7.03

Dongfang

57

108.62

19.10

−0.23

−0.16

−0.21

−0.25

0.03

2.88

3.11

Yulin

58

109.53

18.22

−0.12

−0.05

−0.08

−0.13

0.02

1.39

1.51

Average

   

−0.17

   

0.04

2.05

2.22

  1. Long./Latt.−longitude/latitude; —RSL rate/uncertainty from RF3L20(β=0.4)+ICE-4G model; sTG/s′—RSL rate before/after GIA correction. —RSL rates from models RF3+ICE-4G, RF2+ICE-4G and RF3L20(β=0.4)+ICE-5G, respectively.