Control method of probability of adequate depth ensuring navigation safety of depth model

JIA Shuai-dong; ZHANG Li-hua; PENG Ren-can; WANG Tao; DONG Jian

doi:10.19818/j.cnki.1671-1637.2015.05.013

Volume 15 Issue 5

Turn off MathJax

Article Contents

Article Navigation > Journal of Traffic and Transportation Engineering > 2015 > 15(5): 101-109

Next Previous

JIA Shuai-dong, ZHANG Li-hua, PENG Ren-can, WANG Tao, DONG Jian. Control method of probability of adequate depth ensuring navigation safety of depth model[J]. Journal of Traffic and Transportation Engineering, 2015, 15(5): 101-109. doi: 10.19818/j.cnki.1671-1637.2015.05.013

Citation:

JIA Shuai-dong, ZHANG Li-hua, PENG Ren-can, WANG Tao, DONG Jian. Control method of probability of adequate depth ensuring navigation safety of depth model[J]. Journal of Traffic and Transportation Engineering, 2015, 15(5): 101-109. doi: 10.19818/j.cnki.1671-1637.2015.05.013

Citation:

PDF( 645 KB)

Control method of probability of adequate depth ensuring navigation safety of depth model

doi: 10.19818/j.cnki.1671-1637.2015.05.013

JIA Shuai-dong^{1, 2
,},
ZHANG Li-hua^{1, 2
,},
PENG Ren-can^{1, 2},
WANG Tao^{1, 2},
DONG Jian^{1, 2}

1.
Department of Hydrography and Cartography, Dalian Naval Academy, Dalian 116018, Liaoning, China
2.
Hydrographic Surveying and Mapping Laboratory, Dalian Naval Academy, Dalian 116018, Liaoning, China

More Information

Author Bio:
JIA Shuai-dong(1986-), male, doctoral student, + 86-411-85856444, sky_jsd@163.com

ZHANG Li-hua(1973-), male, professor, PhD, + 86-411-85856444, zlhua@163.com
Received Date: 2015-05-13
Publish Date: 2015-10-25

Abstract

Abstract

Considering the drawback of charted depth in ensuring the navigation safety currently, a control method of probability of adequate depth was proposed, thus the navigation safety of depth model was ensured.The surface of triangulated irregular network(TIN)-based depth model was constructed based on the mark point of charted depth, and the common formula for calculating the depth of model surface at arbitrary position was deduced.Considering the influence of uncertainty of depth source data on navigation safety, the influence of representation uncertainty of depth model at arbitrary position was analyzed quantitatively.The uncertainty was appended on the model point to control the influence of representation uncertainty, and the probability of adequate depth of depth model was controlled to meet the required value.On the charts with the scales of 1∶2 000, 1∶5 000, 1∶10 000, 1∶50 000, respectively, the proposedsurface control method was verified and compared with traditional method and point control method.Analysis result indicates that the acceptable rates of probability of adequate depth controlled by using surface control method on the charts are respectively 51.72%, 49.37%, 38.71%, 28.39% higher than the rates by using traditional method, and are 4.10%, 5.00%, 5.06%, 9.65% higher than the rates by using point control method.When the scale decreases, the acceptable rates of probability of adequate depth controlled by traditional method increase, and the rates by using point control method decrease, however, the rates by using surface control method are always 100% for both considering the uncertainty of source data and the representation uncertainty of depth model.The probability of adequate depth controlled by surface control method meets the required value(97.5%), but traditional method and point control method cannot satisfy the demand, which demonstrates the advantages of surface control method.
- depth model,
- probability of adequate depth,
- quantitative control,
- uncertainty,
- triangulated irregular network

FullText(HTML)

References(25)

References

[1]	ZHANG Li-hua, JIA Shuai-dong, YUAN Jian-sheng, et al. A method for controlling shoal-bias based on uncertainty[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(2): 184-190. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201202007.htm
[2]	TANG Qing-hui, TANG Xu, CUI Xiao-hui, et al. Optimal voyage planning strategies based on a dynamic access network model[J]. Geomatics and Information Science of Wuhan University, 2015, 40(4): 521-528. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201504016.htm
[3]	ZHANG An-min. Research on some key techniques of dynamic information services in e-navigation[D]. Wuhan: Wuhan University, 2013. (in Chinese)
[4]	PAN Ming-yang, LIU Tao, WANG De-qiang, et al. Web multidimensional digital waterway monitoring platform[J]. Journal of Traffic and Transportation Engineering, 2014, 14(2): 97-103, 126. (in Chinese) doi: 10.3969/j.issn.1671-1637.2014.02.017
[5]	GORALSKI R, RAY C, GOLD C. Applications and benefits for the development of cartographic 3D visualization systems in support of maritime safety[J]. International Journal on Marine Navigation and Safety of Sea Transportation, 2011, 5(4): 423-431.
[6]	ZHANG Li-qiang. Key technologies for 3D digital earth development[D]. Beijing: Chinese Academy of Sciences, 2004. (in Chinese)
[7]	ZHANG Li-hua, ZHU Qing, LIU Yan-chun, et al. A method for automatic routing based on ECDIS[J]. Journal of Dalian Maritime University, 2007, 33(3): 109-112. (in Chinese) doi: 10.3969/j.issn.1006-7736.2007.03.024
[8]	JIA Shuai-dong, ZHANG Li-hua, SONG Guo-da, et al. A method for constructing an adaptive grid digital depth model based on mean vertical uncertainty of area[J]. Acta Geodaetica et Cartographica Sinica, 2012, 41(3): 454-460. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201203025.htm
[9]	SMITH S M. The navigation surface: a multipurpose bathymetric database[D]. Durham: University of New Hampshire, 2003.
[10]	ZHANG Li-hua, JIA Shuai-dong, WANG Tao, et al. Definitions and estimating methods of a probability of an adequate depth and representiveness[J]. Geomatics and Information Science of Wuhan University, 2015, 40(5): 695-700. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201505023.htm
[11]	WANG He-xun, GUO Hong-ju. Determination of ship's safe under-keel clearance[J]. Journal of Shanghai Maritime University, 2004, 25(4): 19-21. (in Chinese) doi: 10.3969/j.issn.1672-9498.2004.04.006
[12]	TANG Guo-an, ZHAO Mu-dan, CAO Han. An investigation of the spatial structure of DEM errors[J]. Journal of Northwest University: Natural Science Edition, 2000, 30(4): 349-352. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-XBDZ200004023.htm
[13]	WANG Yao-ge, ZHU Chang-qing, WANG Zhi-wei. Global error analysis of DEM models[J]. Geomatics and Information Science of Wuhan University, 2009, 34(12): 1467-1470. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH200912021.htm
[14]	WU Yan-lan, HU Hai, HU Peng, et al. A review on the issues in DEM error and DEM quality assessment[J]. Geomatics and Information Science of Wuhan University, 2011, 36(5): 568-574. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-WHCH201105016.htm
[15]	BEEKHUIZEN J, HEUVELINK G, BIESEMANS J, et al. Effect of DEM uncertainty on the positional accuracy of airborne imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(5): 1567-1577. doi: 10.1109/TGRS.2010.2083672
[16]	ZHANG Li-hua, JIA Shuai-dong, PENG Ren-can, et al. A quantitative method to control and adjust the accuracy of adaptive grid depth modeling[J]. Marine Geodesy, 2013, 36(4): 408-427. doi: 10.1080/01490419.2013.840343
[17]	HU Peng, WU Yan-lan, HU Hai. A new research on fundamental theory of assessing the accuracy of DEMs[J]. Geo-Information Science, 2005, 7(3): 28-33. (in Chinese) doi: 10.3969/j.issn.1560-8999.2005.03.008
[18]	HARE R, EAKINS B, AMANTE C. Modelling bathymetric uncertainty[J]. International Hydrographic Review, 2011, 4(2): 31-42.
[19]	SONG Zhan-feng, PU Hao, ZHAN Zhen-yan. Study on an algorithm for fast constructing Delaunay triangulation[J]. Journal of the China Railway Society, 2001 23(5): 85-91. (in Chinese) doi: 10.3321/j.issn:1001-8360.2001.05.018
[20]	HU Jin-xing, PAN Mao, MA Zhao-ting, et al. Study on faster algorithm for constructing Delaunay triangulations DTM[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2003, 39(5): 736-741. (in Chinese) doi: 10.3321/j.issn:0479-8023.2003.05.020
[21]	JIA Shuai-dong, LIU Yi-fan, ZHANG Li-hua, et al. Propagation analysis of depth source data uncertainty in TIN depth modeling[J]. Hydrographic Surveying and Charting, 2014, 34(3): 17-19, 24. (in Chinese) doi: 10.3969/j.issn.1671-3044.2014.03.005
[22]	TIAN Feng-min, ZHAO Yu-xin, LI Lei, et al. A method of constructing undersea TIN DEM based on vector nautical chart[J]. Journal of Harbin Engineering University, 2009, 30(2): 142-147, 153. (in Chinese) doi: 10.3969/j.issn.1006-7043.2009.02.005
[23]	WANG Guang-xia, ZHU Chang-qing, SHI Wen-zhong, et al. The further study on the accuracy of DEM terrain representation[J]. Acta Geodaetica et Cartographica Sinica, 2004, 33(2): 168-173. (in Chinese) doi: 10.3321/j.issn:1001-1595.2004.02.014
[24]	LAN Yue-ming, TAO Ben-zao. End points accuracy based error band method for determination of a line segment position uncertainty[J]. Acta Geodaetica et Cartographica Sinica, 2004, 33(4): 289-292. (in Chinese) doi: 10.3321/j.issn:1001-1595.2004.04.002
[25]	ZHU Jian-jun, XIE Jian. A simple iterative algorithm for inequality constrained adjustment[J]. Acta Geodaetica et Cartographica Sinica, 2011, 40(2): 209-212. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CHXB201102015.htm

Relative Articles

Supplements(0)

Cited By

Get Citation

PDF

XML

Article Metrics

Article views (848) PDF downloads(664)

Control method of probability of adequate depth ensuring navigation safety of depth model

doi: 10.19818/j.cnki.1671-1637.2015.05.013

Abstract

References

Catalog

Article Metrics

Related

Control method of probability of adequate depth ensuring navigation safety of depth model

doi: 10.19818/j.cnki.1671-1637.2015.05.013

Abstract

References

Catalog

Article Metrics

Related

Export File

Citation

Format

Content