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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

邮发代号 80-963

2019 Impact Factor: 1.62

Frontiers of Earth Science  2018, Vol. 12 Issue (3): 468-480   https://doi.org/10.1007/s11707-018-0693-0
  本期目录
Drift analysis of MH370 debris in the southern Indian Ocean
Jia GAO1,2,3, Lin MU1,3(), Xianwen BAO1, Jun SONG4, Yang DING1
1. College of Oceanic and Atmospheric Sciences, Ocean University of China, Qingdao 266100, China
2. National Marine Data and Information Service, Tianjin 300171, China
3. College of Marine Science and Technology, China University of Geosciences, Wuhan 430074, China
4. School of Marine Science and Environment Engineering, Dalian Ocean University, Dalian 116023, China
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Abstract

Malaysian Airlines Flight MH370 disappeared on 8 March 2014, while flying from Kuala Lumpur to Beijing. A flaperon from the flight was found on Reunion Island in July 2015. Two more confirmed pieces of debris were found in Mauritius and Tanzania, and 19 unconfirmed items were found off Mozambique, South Africa, and Madagascar. Drift buoys originating from the designated underwater search area arrived in Reunion Island, Mauritius, and Tanzania. Some of these buoys took a similarly long time as did real debris to reach these destinations, following a heading northeast and then west. For the present study, a maritime object drift prediction model was developed. “High resolution surface currents, Stokes drift, and winds” were processed, and a series of model experiments were constructed. The predicted trajectories of the modeled objects were similar to the observed trajectories of the drift buoys. Many modeled objects drifted northward then westward, ending up in Reunion Island, Mauritius, and Tanzania with probabilities of 5‰, 5‰, and 19‰, respectively. At the end of the simulation, most objects were located near 10°S in the western Indian Ocean. There were significant differences between experiments with different leeway factors, possibly because of the influence of southeast trade winds. The north part of the underwater search area is most likely to be the crash site, because the predicted trajectories of objects originating here are consistent with the many pieces of debris found along the east coast of Africa and the absence of such findings on the west coast of Australia.

Key wordsMH370    debris    drift trajectory    drift buoys    surface currents    Stokes drift
收稿日期: 2017-06-27      出版日期: 2018-09-05
Corresponding Author(s): Lin MU   
 引用本文:   
. [J]. Frontiers of Earth Science, 2018, 12(3): 468-480.
Jia GAO, Lin MU, Xianwen BAO, Jun SONG, Yang DING. Drift analysis of MH370 debris in the southern Indian Ocean. Front. Earth Sci., 2018, 12(3): 468-480.
 链接本文:  
https://academic.hep.com.cn/fesci/CN/10.1007/s11707-018-0693-0
https://academic.hep.com.cn/fesci/CN/Y2018/V12/I3/468
Fig.1  
Fig.2  
Serial number Start date Leeway factor
Case 1 Exp. 1 3 March, 2014 1.2%
Exp. 2 3 March, 2014 1.5%
Exp. 3 3 March, 2014 1.8%
Case 2 Exp. 4 8 March, 2014 1.2%
Exp. 5 8 March, 2014 1.5%
Exp. 6 8 March, 2014 1.8%
Case 3 Exp. 7 13 March, 2014 1.2%
Exp. 8 13 March, 2014 1.5%
Exp. 9 13 March, 2014 1.8%
Tab.1  
Buoy ID Origin time in possible air crash area End time in Mauritius area Duration/days
34160 20030310 20041104 604
46048 20071109 20090625 593
70854 20071031 20091102 732
Tab.2  
Buoy ID Origin time in possible air crash area End time in Mauritius area Duration/days
2339263 20050320 20060425 400
46044 20060925 20080519 601
62576 20110213 20120414 425
9525791 19970524 20010823 1552
9525837 19980803 20020810 1467
Tab.3  
Buoy ID Origin time in possible air crash area End time in Tanzania area Duration/days
2339263 20050320 20060714 481
30723 20030422 20040916 512
44055 20060731 20080405 613
46036 20051115 20080824 1013
53417 20070704 20081031 485
63814 20080101 20090609 524
Tab.4  
Fig.3  
Fig.4  
Serial Number Case 1 Case 2 Case 3 Total Probability
1.2% 7 8 4 19 6‰
1.5% 5 2 8 15 4‰
1.8% 1 6 5 12 4‰
Total 13 16 17 46 5‰
Probability 4‰ 5‰ 5‰ 5‰
Tab.5  
Serial Number Case 1 Case 2 Case 3 Total Probability
1.2% 6 10 5 21 6‰
1.5% 5 4 5 14 4‰
1.8% 6 2 7 15 4‰
Total 17 16 17 50 5‰
Probability 5‰ 5‰ 5‰ 5‰
Tab.6  
Serial Number Case 1 Case 2 Case 3 Total Probability
1.2% 18 13 12 43 13‰
1.5% 23 21 16 60 18‰
1.8% 36 29 24 89 27‰
Total 77 63 52 192 19‰
Probability 23‰ 19‰ 16‰ 19‰
Tab.7  
Serial number With stokes drift Without stokes drift Difference
Case 1 Exp. 1 72.38°E, ?15.06°S 91.95°E, ?25.36°S ?19.57°E, 10.30°S
Exp. 2 70.71°E, ?14.03°S 88.45°E, ?25.07°S ?17.74°E, 11.04°S
Exp. 3 69.16°E, ?12.68°S 84.92°E, ?23.47°S ?15.76°E, 10.79°S
Case 2 Exp. 4 73.04°E, ?15.83°S 93.45°E, ?25.60°S ?20.41°E, 9.77°S
Exp. 5 71.95°E, ?14.30°S 89.09°E, ?24.72°S ?17.14°E, 10.42°S
Exp. 6 68.93°E, ?12.53°S 86.85°E, ?24.20°S ?17.92°E, 11.67°S
Case 3 Exp. 7 73.51°E, ?16.06°S 92.27°E, ?25.55°S ?18.76°E, 9.49°S
Exp. 8 73.56°E, ?14.60°S 90.21°E, ?24.95°S ?16.65°E, 10.35°S
Exp. 9 72.76°E, ?13.62°S 89.46°E, ?24.66°S ?16.70°E, 11.04°S
Tab.8  
Fig.5  
Fig.6  
Fig.7  
Fig.8  
Fig.9  
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