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GIS-Based Spatial Monte Carlo Analysis for Integrated Flood Management with Two Dimensional Flood Simulation

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  • Honghai Qi
  • Pu Qi
  • M. Altinakar

Abstract

Spatial Monte Carlo Analysis (SMCA) is a newly developed Multi-Criteria Decision Making (MCDM) technique based on Spatial Compromise Programming (SCP) and Monte Carlo Simulation (MCS) technique. In contrast to other conventional MCDM techniques, SMCA has the ability to address uneven spatial distribution of criteria values in the evaluation and ranking of alternatives under various uncertainties. Using this technique, a new flood management tool has been developed within the framework of widely used GIS software ArcGIS. This tool has a user friendly interface which allows construction of user defined criteria, running of SCP computations under uncertain impacting factors and visualization of results. This tool has also the ability to interact with and use of classified Remote Sensing (RS) image layers, and other GIS feature layers like census block boundaries for flood damage calculation and loss of life estimation. The 100-year flood management strategy for Oconee River near the City of Milledgeville, Georgia, USA is chosen as a case study to demonstrate the capabilities of the software. The test result indicates that this new SMCA tool provides a very versatile environment for spatial comparison of various flood mitigation alternatives by taking into account various uncertainties, which will greatly enhance the quality of the decision making process. This tool can also be easily modified and implemented for solving a large variety of problems related to natural resources planning and management. Copyright Springer Science+Business Media Dordrecht 2013

Suggested Citation

  • Honghai Qi & Pu Qi & M. Altinakar, 2013. "GIS-Based Spatial Monte Carlo Analysis for Integrated Flood Management with Two Dimensional Flood Simulation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3631-3645, August.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:10:p:3631-3645
    DOI: 10.1007/s11269-013-0370-8
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    References listed on IDEAS

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    1. Dhruvesh Patel & Prashant Srivastava, 2013. "Flood Hazards Mitigation Analysis Using Remote Sensing and GIS: Correspondence with Town Planning Scheme," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(7), pages 2353-2368, May.
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    3. Yamei Wang & Zhongwu Li & Zhenghong Tang & Guangming Zeng, 2011. "A GIS-Based Spatial Multi-Criteria Approach for Flood Risk Assessment in the Dongting Lake Region, Hunan, Central China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3465-3484, October.
    4. J. Yazdi & S. Salehi Neyshabouri, 2012. "A Simulation-Based Optimization Model for Flood Management on a Watershed Scale," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(15), pages 4569-4586, December.
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    1. Chaochao Li & Xiaotao Cheng & Na Li & Xiaohe Du & Qian Yu & Guangyuan Kan, 2016. "A Framework for Flood Risk Analysis and Benefit Assessment of Flood Control Measures in Urban Areas," IJERPH, MDPI, vol. 13(8), pages 1-18, August.
    2. Guangming Yu & Sa Wang & Qiwu Yu & Lei Wu & Yong Fan & Xiaoli He & Xia Zhou & Huanhuan Jia & Shu Zhang & Xiaojuan Tian, 2014. "The Regional Limit of Flood-Bearing Capability: A Theoretical Model and Approaches," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 1921-1936, May.
    3. Sandeep Samantaray & Abinash Sahoo, 2024. "Prediction of flow discharge in Mahanadi River Basin, India, based on novel hybrid SVM approaches," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18699-18723, July.
    4. Mariamawit Borga & Burak F. Tanyu & Celso M. Ferreira & Juan L. Garzon & Michael Onufrychuk, 2017. "A geospatial framework to estimate depth of scour under buildings due to storm surge in coastal areas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 87(3), pages 1285-1311, July.

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