A Geographic Model Integration Approach and Implementation Based on Coupling Components and Services

ZHANG Mingda; YUE Peng; GAO Fan

doi:10.13203/j.whugis20160251

Volume 43 Issue 7

Jul. 2018

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Geomatics and Information Science of Wuhan University > 2018 > 43(7): 1106-1112. > DOI: 10.13203/j.whugis20160251

ZHANG Mingda, YUE Peng, GAO Fan. A Geographic Model Integration Approach and Implementation Based on Coupling Components and Services[J]. Geomatics and Information Science of Wuhan University, 2018, 43(7): 1106-1112. DOI: 10.13203/j.whugis20160251

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A Geographic Model Integration Approach and Implementation Based on Coupling Components and Services

1.
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China
2.
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

Funds:

The National Natural Science Foundation of China 41722109

the National Key Research and Development Program of China 2017YFB0504103

the Scientific and Technological Innovation Project of the Yellow Crane Talents of Wuhan 2016

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Author Bio:
ZHANG Mingda, PhD, specializes in research on geospatial services and geographic model integration. E-mail:zhangmingda@whu.edu.cn
Corresponding author:
YUE Peng, PhD, professor. E-mail:pyue@whu.edu.cn
Received Date: November 15, 2016
Published Date: July 04, 2018

Graphical Abstract

Abstract

Abstract

Conventional geoprocessing workflow tools, such as ArcGIS ModelBuilder, focus on the integration of geoprocessing algorithms. The concept of the "Model Web" brings new challenges to these tools. On one hand, existing geoprocessing tools need to adapt to the Web environment to support the plug-in-and-play of distributed geoprocessing services. On the other hand, these services need to couple complex models to support time-step computation. This paper introduces a new method to publish model as service based on WebSocket protocol, and also introduces a workflow-based integrated modelling approach to couple models and services. It integrates OGC services, WebSocket services and OpenMI models, which brings some new features including logical consistency, physical separation, and controllable execution. In this way, traditional geoprocessing workflow tools are extended as tools for integrated modelling. A specific use case demonstrates the applicability of the approach.
- geographic integrated modelling,
- scientific workflow,
- geospatial web services,
- OpenMI,
- WebSocket

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References (22)

References

[1]	van Evert F, Holzworth D, Muetzelfeldt R, et al. Convergence in Integrated Modeling Frameworks[C]. MODSIM 2005 International Congress on Modeling and Simulation, Melbourne, Australia, 2005
[2]	Laniak G F, Olchin G, Goodall J, et al. Integrated Environmental Modeling:A Vision and Roadmap for the Future[J]. Environmental Modelling & Software, 2013, 39:3-23 http://dl.acm.org/citation.cfm?id=2400753.2401133
[3]	Nativi S, Mazzetti P, Geller G N.Environmental Model Access and Interoperability:The GEO Model Web Initiative[J]. Environmental Modelling & Software, 2013, 39:214-228 http://dl.acm.org/citation.cfm?id=2400753.2401147
[4]	乐鹏.网络地理信息系统和服务[M].武汉:武汉大学出版社, 2011 Yue Peng. Web Geographic Information Systems and Services[M]. Wuhan:Wuhan University Press, 2011
[5]	杜云艳, 冯文娟, 何亚文, 等.网络环境下的地理信息服务集成研究[J].武汉大学学报·信息科学版, 2010, 35(3):347-349, 364 http://ch.whu.edu.cn/CN/abstract/abstract893.shtml Du Yunyan, Feng Wenjuan, He Yawen, et al. Geographic Information Services Integration with Web Services[J]. Geomatics and Information Science of Wuhan University, 2010, 35(3):347-349, 364 http://ch.whu.edu.cn/CN/abstract/abstract893.shtml
[6]	Goodall J L, Saint K D, Ercan M B, et al. Coupling Climate and Hydrological Models:Interoperability Through Web Services[J]. Environmental Modelling & Software, 2013, 46:250-259 http://jwcc.iwaponline.com/content/early/2017/08/07/wcc.2017.010
[7]	Castronova A M, Goodall J L, Elag M M. Models as Web Services Using the Open Geospatial Consortium (OGC) Web Processing Service (WPS) Stan-dard[J]. Environmental Modelling & Software, 2013, 41:72-83 http://jwcc.iwaponline.com/content/early/2017/08/07/wcc.2017.010
[8]	张耀南, 龙银平, 程国栋, 等.地学研究中的集成建模环境综述[J].科研信息化技术与应用, 2014, 5(1):3-15 doi: 10.11871/j.issn.1674-9480.2014.01.001 Zhang Yaonan, Long Yinping, Cheng Guodong, et al. Review of Integrated Modeling Environment in Earth Research[J]. E-science Technology & Application, 2014, 5(1):3-15 doi: 10.11871/j.issn.1674-9480.2014.01.001
[9]	Yue P, Baumann P, Bugbee K, et al. Towards Intelligent GIServices[J]. Earth Science Informatics, 2015, 8(3):463-481 doi: 10.1007/s12145-015-0229-z
[10]	Collins N, Theurich G, Deluca C, et al. Design and Implementation of Components in the Earth System Modeling Framework[J].International Journal of High Performance Computing Applications, 2005, 19(3):341-350 doi: 10.1177/1094342005056120
[11]	Moore R V, Tindall C I. An Overview of the Open Modelling Interface and Environment (the OpenMI)[J]. Environmental Science & Policy, 2005, 8(3):279-286 http://jwcc.iwaponline.com/content/early/2017/08/07/wcc.2017.010
[12]	Gregersen J, Gijsbers P, Westen S. OpenMI:Open Modelling Interface[J]. Journal of Hydroinformatics, 2007, 9(3):175-191 doi: 10.2166/hydro.2007.023
[13]	Larson J W, Norris B, Ong E T, et al. Components, the Common Component Architecture, and the Climate/Weather/Ocean Community[C]. The 84th American Meteorological Society Annual Meeting, Seattle, USA, 2004
[14]	Botts M, Percivall G, Reed C, et al. OGC Sensor Web Enablement: Overview and High Level Architecture[R]. Open Geospatial Consortium Inc, 2007
[15]	张卫民, 刘灿灿, 骆志刚.科学工作流技术研究综述[J].国防科技大学学报, 2011, 33(3):56-65 http://www.cnki.com.cn/Article/CJFDTOTAL-JLGX200803028.htm Zhang Weimin, Liu Cancan, Luo Zhigang. A Review on Scientific Workflows[J]. Journal of National University of Defense Technology, 2011, 33(3):56-65 http://www.cnki.com.cn/Article/CJFDTOTAL-JLGX200803028.htm
[16]	罗安, 王艳东, 龚健雅.顾及上下文的空间信息服务组合语义匹配方法[J].武汉大学学报·信息科学版, 2011, 36(3):368-372 http://ch.whu.edu.cn/CN/abstract/abstract485.shtml Luo An, Wang Yandong, Gong Jianya. A Semantic Matching Method for Geospatial Information Service Composition Based on Context[J]. Geomatics and Information Science of Wuhan University, 2011, 36(3):368-372 http://ch.whu.edu.cn/CN/abstract/abstract485.shtml
[17]	张立朝, 潘贞, 王青山, 等.本体驱动的地理信息服务发现模型研究[J].武汉大学学报·信息科学版, 2009, 34(6):641-645, 658 http://ch.whu.edu.cn/CN/abstract/abstract1344.shtml Zhang Lichao, Pan Zhen, Wang Qingshan, et al. An Ontology-Driven Discovering Model of Geographical Information Services[J]. Geomatics and Information Science of Wuhan University, 2009, 34(6):641-645, 658 http://ch.whu.edu.cn/CN/abstract/abstract1344.shtml
[18]	Barker A, van Hemert J. Scientific Workflow: A Survey and Research Directions[C]. International Conference on Parallel Processing and Applied Mathematics, Gdansk, Poland, 2007
[19]	Callahan S P, Freire J, Santos E, et al. VisTrails: Visualization Meets Data Management[C]. 2006 ACM SIGMOD International Conference on Management of Data, Chicago, USA, 2006
[20]	Yue P, Zhang M, Tan Z. A Geoprocessing Workflow System for Environmental Monitoring and Integrated Modelling[J]. Environmental Modelling & Software, 2015, 69:128-140 https://www.journals.elsevier.com/environmental-modelling-and-software/
[21]	Beven K, Kirkby M. A Physically Based, Variable Contributing Area Model of Basin Hydrology[J].Hydrological Sciences Journal, 1979, 24(1):43-69 doi: 10.1080/02626667909491834
[22]	Hargreaves G H, Samani Z A. Estimating Potential Evapotranspiration[J]. Journal of the Irrigation and Drainage Division, 1982, 108(3):225-230 http://dspace.mit.edu/handle/1721.1/79479

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[8]	Ge Huanan. Precision Calculation of Atmospheric Refraction[J]. Geomatics and Information Science of Wuhan University, 1998, 23(1): 88-91.
[9]	Yu Mozhi. A New Technique for Determining the High Refractive Index of Glass Microsphere[J]. Geomatics and Information Science of Wuhan University, 1994, 19(4): 371-373.
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