Showing posts with label summer. Show all posts
Showing posts with label summer. Show all posts

Thursday, 29 July 2010

Tsunami & Tidal Waves


Tsunami & Tidal Waves: From the previous topics on the potential for a “magnetic” pole shift, a “geographic” pole shift and the resulting shift in Earth’s crust, you can see that our oceans may present the greatest threat of natural disaster to all forms of life. The extent of this potential is even visible now as floods, tsunamis, and torrential rains cause the majority of fatalities from natural disaster around the world.

We’ve discussed the potential for a geological cataclysmic event from either type of pole shift as Earth’s crust moves across the magma until settling into a new state of equilibrium. Now let’s discuss the difference between the motions of Earth’s crust versus the motion of the oceans during such an event.

To do this, we must first consider the difference between the rigidity of a shift in Earth’s crust and the fluidity of its oceans. Dirt is more dense than water and does not flow as freely unless it is either saturated with water or a large enough force is applied that creates substantial momentum. A landslide is an example of how earth moves under extreme conditions. A landslide can only occur if one or more conditions are met including: steep incline, weak substructure, moisture, and the application of vertical or horizontal forces. If any one of these conditions is large enough, a landslide is possible, but is still much more limited in the distance it can travel than with water. In fact, due to the friction created as earth moves across earth, the distance of motion is extremely limited without a continuous application of force.

Water, on the other hand, moves freely when force is applied. In fact, even the slightest disturbance of water creates motion and the only conditions you need to create this motion include: displacement, vertical, or horizontal forces. Motion of water can be created from a variety of sources including: changes in altitude such as a river, wind blowing across its surface, or the gravitation forces from the Moon. And once water begins to move it continues until enough energy is removed over time to slow or stop the motion. In the case of a lake or ocean, this means that waves can literally move from one shore to the other, and back again.



Approximately 70% of Earth’s surface is covered by water. Of course, 100% of Earth is covered by land; it’s just that only 30% of that land is above the water. As we discussed earlier, when Earth’s crust moves violently, it’s generally a short period of time before it settles into a new state of equilibrium. Good examples of this concept are earthquakes. Earthquakes can be very violent, but generally occur for only short durations with recordings generally only in the few seconds, but in extreme cases up to about 10 minutes.


The fluidity of water is what makes it so devastating. Once water starts moving, it doesn’t just stop until it generally hits something. It may slow down gradually, but it literally keeps moving across lakes and even oceans until it reaches a shoreline. And it doesn’t simply stop when it hits shore, but actually bounces off the shoreline, losing some of its momentum in the process, and starts back in the direction it came from. The cataclysm affects from these waves will probably last for weeks or months as these waves circle the globe before dissipating completely.









Weather Chart For Major Indian Cities

Weather Chart For Major Indian Cities
[ R=Rainfall (mm) ]



City


Jan

Feb

Mar

Apr

May

Jun

Jul

Aug

Sep

Oct

Nov

Dec















Agra

T. Max

23

26

32

38

42

41

35

33

34

34

29

24

min.

7

10

16

22

27

29

27

26

25

19

12

8

R avg.

16

9

11

5

10

60

2

10

26

31

51

23


Amritsar

T.max.

19

23

28

34

39

40

36

34

34

32

27

21

min.

5

7

12

16

21

25

26

25

23

17

9

5

R.avg.

38

11

26

9

11

32

169

168

106

54

10

15


Aurangabad

T. max.

29

32

36

38

40

35

29

29

30

31

30

29

min.

14

16

20

24

25

23

22

21

21>

20

16

14

R.avg.

3

3

4

7

17

141

189

146

179

62

32

9


Bangalore

T. max.

28

31

33

34

33

30

28

29

28

28

27

27

min.

15

16

19

21

21

20

19

19

19

19

17

15

R.avg.

4

14

63

71

19

65

93

95

129

195

46

16


Calcutta

T. max.

26

29

34

36

36

34

32

32

32

31

29

27

min.

12

15

20

24

26

26

26

26

26

24

18

13

R.avg.

13

22

30

50

135

263

320

318

253

134

29

4


Chennai

T. max.

29

31

33

35

38

37

35

35

34

32

29

28

min.

20

21

23

26

28

28

26

26

25

24

23

21

R.avg.

24

7

15

25

52

53

83

124

118

267

309

139


Chandigarh

T. max.

20

23

29

32

38

39

34

33

32

32

31

27

min.

7

8

14

19

23

26

24

23

22

17

10

8

R.avg.

52

9

26

10

11

71

269

253

188

52

8

24


Cochin

T. max.

31

31

31

31

31

29

28

28

28

29

30

30

min.

23

24

26

26

26

24

24

24

24

24

24

23

R.avg.

9

34

50

139

364

756

572

386

235

333

184

37


Darjeeling

T. max.

9

1

15

18

19

19

20

20

20

19

15

12

min.

3

4

8

11

13

15

15

15

15

11

7

4

R.avg.

22

27

52

109

167

522

713

573

419

116

14

5


Delhi

T. max.

21

24

30

36

41

40

35

34

34

35

29

23

min.

7

10

15

21

27

29

27

26

25

19

12

8

R.avg.

25

22

17

7

8

65

211

173

150

31

1

5


Gangtok

T. max.

14

15

19

22

22

23

23

23

23

22

19

15

min.

4

5

9

12

14

16

17

17

16

12

9

6

R.avg.

44

56

142

222

493

644

63

588

476

152

35

15


Goa

T. max.

31

31

31

32

32

30

28

29

29

31

32

32

min.

19

16

23

25

27

24

23

24

23

24

23

21

R.avg.

2

0

4

11

18

180

190

185

276

122

20

37


Gwalior

T. max.

23

27

33

39

43

41

34

32

32

33

29

25

min.

7

10

16

22

28

30

27

25

34

18

11

7

R.avg.

18

7

8

3

9

83

274

259

192

35

2

8


Hyderabad

T. max.

30

32

36

38

40

35

31

30

3

031

29

29

min.

15

17

20

24

25

24

22

22

22

20

16

14

R.avg.

8

9

12

30

28

112

152

134

164

62

29

8


Jaipur

T. max.

22

25

31

37

41

39

34

32

33

33

29

24

min.

8

11

15

21

26

27

26

24

23

18

12

9

R.avg.

14

8

9

4

10

54

193

239

90

19

3

4


Jaisalmer

T. max.

24

28

33

38

42

41

38

36

36

36

31

25

min.

8

11

17

21

25

27

27

25

25

20

13

9

R.avg.

2

1

3

1

5

7

89

86

14

1

5

2


Jodhpur

T. max.

25

28

33

38

42

40

36

33

35

36

31

27

min.

9

12

17

22

27

29

27

25

24

20

14

11

R.avg.

7

5

2

2

6

31

122

145

47

7

3

1


Lucknow

T. max.

23

22

33

39

41

38

34

32

33

33

29

24

min.

8

11

16

22

26

28

26

25

25

19

12

8

R.avg.

19

19

19

6

20

113

305

292

185

32

6

8


Madurai

T. max.

30

32

35

36

37

37

36

35

35

33

31

30

min.

21

22

23

25

26

26

26

25

25

24

23

22

R.avg.

26

16

21

81

59

31

48

117

123

179

161

43


Mumbai

T. max.

31

32

33

33

33

32

30

29

30

32

33

32

min.

16

17

20

24

26

26

26

26

26

24

18

13

R.avg.

0

1

0

0

20

647

945

660

309

117

7

1


Patna

T. max.

24

26

33

38

39

37

33

32

32

32

29

25

min.

11

13

19

23

26

27

27

27

26

23

16

12

R.avg.

2

20

7

8

28

139

266

307

243

63

6

2


Srinagar

T. max.

5

7

14

19

25

30

31

30

29

23

17

9

min.

4

1

3

7

10

14

18

17

12

5

1

2

R.avg.

74

72

93

92

16

36

59

61

39

30

11

33


Trivandrum

T. max.

31

32

33

32

31

29

29

29

30

30

30

31

min.

22

23

24

25

25

24

23

22

23

23

23

23

R.avg.

20

20

33

122

249

331

215

164

123

271

207

73


Udaipur

T. max.

24

28

32

36

38

36

31

29

31

32

29

26

min.

8

10

15

20

25

25

24

23

22

19

11

8

R.avg.

9

4

3

3

5

87

197

207

120

16

6

3


Varanasi

T. max.

23

27

33

39

41

39

33

32

32

32

29

25

min.

9

11

17

22

27

28

26

26

25

21

13

9

R.avg.

23

8

14

1

8

102

346

240

261

38

15

2