An Overview of the Application of Geographic Information Systems (GIS) in Crisis Management with an Emphasis on Flood Zoning
Keywords:
Crisis Management, Flood, HEC RAS, GIS, HEC-GeoRAS
Abstract
Early warning is one of the main causes for disaster risk reduction. This will prevent the loss of life and reduce the negative economic and material consequences of accidents. This case study becomes more important when it comes to the geographic conditions exposed to many natural and severe natural disasters such as floods, storms and earthquakes. In order to mitigate the negative effects of facing such a situation, the need for crisis management is absolutely necessary. One of the strongest tools for optimizing crisis management is GIS geographic information systems. Using the GIS software and the use of hydraulic software such as HEC-RAS, it can be used to determine the flood zoning and, consequently, management measures to reduce the risks, with an appropriate precaution before the occurrence, Simulated.
Downloads
Download data is not yet available.
References
1. Fazlolahzade Sadati, S., et al., Water Yield Estimation in Polrudwatershed Based on Empirical Methods and Modelling in Geographic Information System (GIS). Journal of river engineering, 2014. 2(7).
2. Casale, R. and C. Margottini, Floods and Landslides: Integrated Risk Assessment: Integrated Risk Assessment; with 30 Tables. 1999: Springer Science & Business Media.
3. Getahun, Y. and S. Gebre, Flood hazard assessment and mapping of flood inundation area of the Awash River Basin in Ethiopia using GIS and HEC-GeoRAS/HEC-RAS model. Journal of Civil & Environmental Engineering, 2015. 5(4): p. 1.
4. Heydari, M., M.S. Sadeghian, and M. Moharrampour, Flood Zoning Simulation byHEC-RAS Model (Case Study: Johor River-Kota Tinggi Region). 2013.
5. ShahiriParsa, A., et al., Floodplain Zoning Simulation by Using HEC-RAS and CCHE2D Models in the Sungai Maka River. Air, Soil and Water Research, 2016. 9: p. 55.
6. Heydari, M., F. Othman, and M. Noori, A review of the Environmental Impact of Large Dams in Iran. International Journal of Advancements Civil Structural and Environmental Engineering, IJACSE, 2013. 1(1): p. 4.
7. Khosravi, K., et al., A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique. Natural Hazards, 2016. 83(2): p. 947-987.
8. Noori, M., M.B. Sharifi, and M. Heydari. Comparison of the SDSM and LARS-WG weather generators in Modeling of Climate Change in Golestan Province of Iran. in 8th National Congress on Civil Engineering, Babol Noshirvani University of Technology. 2014.
9. Noori, M., et al., Utilization of LARS-WG Model for Modelling of Meteorological Parameters in Golestan Province of Iran. Journal of River Engineering, 2013. 1.
10. Rahmati, O., H.R. Pourghasemi, and A.M. Melesse, Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: a case study at Mehran Region, Iran. Catena, 2016. 137: p. 360-372.
11. Vahid, H.D., et al., An investigation into the qualitative and quantitative effects of climate change on rivers in Iran. International Journal of Review in Life Sciences, 2016. 6(2): p. 6-13.
12. Albano, R., et al., A GIS-based model to estimate flood consequences and the degree of accessibility and operability of strategic emergency response structures in urban areas. Natural Hazards and Earth System Sciences, 2014. 14(11): p. 2847.
13. Alexakis, D., et al., GIS and remote sensing techniques for the assessment of land use change impact on flood hydrology: the case study of Yialias basin in Cyprus. Natural Hazards and Earth System Sciences, 2014. 14(2): p. 413-426.
14. Amirebrahimi, S., et al., A data model for integrating GIS and BIM for assessment and 3D visualisation of flood damage to building. Locate, 2015. 15: p. 10-12.
15. Amirebrahimi, S., et al., A framework for a microscale flood damage assessment and visualization for a building using BIM–GIS integration. International Journal of Digital Earth, 2016. 9(4): p. 363-386.
16. Atif, I., M.A. Mahboob, and A. Waheed, Spatio-temporal mapping and multi-sector damage assessment of 2014 flood in Pakistan using remote sensing and GIS. Indian Journal of Science and Technology, 2015. 8(35).
17. Behanzin, I.D., et al., GIS-based mapping of flood vulnerability and risk in the Bénin Niger River Valley. International journal of Geomatics and Geosciences, 2016. 6(3): p. 1653-1669.
18. Bhatt, G., et al., Flood hazard and risk assessment in Chamoli district, Uttarakhand using satellite remote sensing and GIS techniques. International Journal of Innovative Research in Science, Engineering and Technology, 2014. 3(8): p. 9.
19. Dawod, G.M., et al., Projected impacts of land use and road network changes on increasing flood hazards using a 4D GIS: A case study in Makkah metropolitan area, Saudi Arabia. Arabian Journal of Geosciences, 2014. 7(3): p. 1139-1156.
20. KLEMEŠOVÁ, K., M. KOLÁŘ, and I. ANDRÁŠKO, USING GIS IN THE FLOOD MANAGEMENT-FLOOD MAPS (TROUBKY, CZECH REPUBLIC). Geographia Technica, 2014. 9(2).
21. Kulkarni, A., et al., A web GIS based integrated flood assessment modeling tool for coastal urban watersheds. Computers & Geosciences, 2014. 64: p. 7-14.
22. Liu, R., et al., Assessing spatial likelihood of flooding hazard using naïve Bayes and GIS: a case study in Bowen Basin, Australia. Stochastic environmental research and risk assessment, 2016. 30(6): p. 1575-1590.
23. Ouma, Y.O. and R. Tateishi, Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: methodological overview and case study assessment. Water, 2014. 6(6): p. 1515-1545.
24. Patel, D.P. and P.K. Srivastava, Flood hazards mitigation analysis using remote sensing and GIS: correspondence with town planning scheme. Water resources management, 2013. 27(7): p. 2353-2368.
25. Pornasdoro, K.P., et al., Flood risk of Metro Manila Barangays: a GIS based risk assessment using multi-criteria techniques. Journal in Urban and Regional Planning, 2014. 1(1): p. 51-72.
26. Roșca, S., et al. Assessment of flood hazard and risk using Gis and historical data. Case-study: The Niraj River Basin (Transylvania Depression, Romania). Informatics, Geoinformatics and Remote Sensing. in Conference Proceedings-Photogrametry and Remote Sensing, Cartography and GIS. 2014.
27. Sowmya, K., C. John, and N. Shrivasthava, Urban flood vulnerability zoning of Cochin City, southwest coast of India, using remote sensing and GIS. Natural Hazards, 2015. 75(2): p. 1271-1286.
28. Tate, E.C. and D.R. Maidment, Floodplain mapping using HEC-RAS and ArcView GIS. 1999: Center for Research in Water Resources, University of Texas at Austin.
29. Heydari, M., F. Othman, and M. Noori, OPTIMAL OPERATION OF MULTIPLE AND MULTI PURPOSE RESERVOIRS SYSTEMS USING NON-DOMINATED SORTING GENETIC ALGORITHM (NSGA-II). FEB-FRESENIUS ENVIRONMENTAL BULLETIN, 2016: p. 2935.
30. Heydari, M., F. Othman, and K. Qaderi, Developing optimal reservoir operation for multiple and multipurpose reservoirs using mathematical programming. Mathematical Problems in Engineering, 2015. 2015.
31. Heydari, M., F. Othman, and M. Taghieh, Optimization of multiple and multipurpose reservoir system operations by using matrix structure (Case Study: Karun and Dez Reservoir Dams). PloS one, 2016. 11(6): p. e0156276.
32. Noori, M., et al., Multiobjective operation optimization of reservoirs using genetic algorithm (Case Study: Ostoor and Pirtaghi Reservoirs in Ghezel Ozan Watershed). Int Proc Chem Biol Environ Eng, 2013. 51: p. 49-54.
33. Othman, F., et al. Preliminary Review of the Optimal Operation of Reservoir Systems using Common Calculation Methods. in International Conference On Water Resources “Sharing Knowledge Of Issues In Water Resources Management To Face The Future. 2012.
34. Sadeghian, M.S., et al., Simulation of Karun River Reservoirs to Maximize Hydroelectric Power Generation. International Journal of Emerging Technology and Advanced Engineering, 2016. 6(5).
35. Sadeghian, M.S., et al., A STATISTICAL REVIEW OF THE MOST CITED ISI PAPERS IN THE FIELD OF RESERVOIR OPERATION. 2015.
36. Khalifehloo, M.H., M. Mohammad, and M. Heydari, Application of artificial neural network and regression analysis to recovery of missing hydrological data in Klang River Basin. Environmental Conservation, Clean Water, Air & Soil (CleanWAS), 2017: p. 67.
37. Othman, F., et al., Investigating the effectiveness of seasonalization based on statistical parameters in normalizing, modeling and forecasting inflow time series. Fresenius Environmental Bulletin, 2017. 26: p. 590-597.
38. Othman, F., et al. Direct and Indirect Effects of Drought using the Function Analysis Systems Technique (FAST) Diagram. in International Conference On Environment (ICENV 2012). 2012.
39. Othman, F., et al. A Study on Sedimentation in Sefidroud Dam by using Depth Evaluation and Comparing the Results with USBR and FAO methods. in 2nd International Conference on Environment, Energy and Biotechnology. doi. 2013.
40. Leopold, L.B., Hydrology for urban land planning: A guidebook on the hydrologic effects of urban land use. 1968.
41. Novotny, V., Water quality: prevention, identification and management of diffuse pollution. 1994: Van Nostrand-Reinhold Publishers.
42. Alamilla, S.K., V. Novotny, and A. Bartosova, GIS based approach to floodplain delineation and flood risk estimation applied to the Oak Creek Watershed. 2001, Marquette University.
2. Casale, R. and C. Margottini, Floods and Landslides: Integrated Risk Assessment: Integrated Risk Assessment; with 30 Tables. 1999: Springer Science & Business Media.
3. Getahun, Y. and S. Gebre, Flood hazard assessment and mapping of flood inundation area of the Awash River Basin in Ethiopia using GIS and HEC-GeoRAS/HEC-RAS model. Journal of Civil & Environmental Engineering, 2015. 5(4): p. 1.
4. Heydari, M., M.S. Sadeghian, and M. Moharrampour, Flood Zoning Simulation byHEC-RAS Model (Case Study: Johor River-Kota Tinggi Region). 2013.
5. ShahiriParsa, A., et al., Floodplain Zoning Simulation by Using HEC-RAS and CCHE2D Models in the Sungai Maka River. Air, Soil and Water Research, 2016. 9: p. 55.
6. Heydari, M., F. Othman, and M. Noori, A review of the Environmental Impact of Large Dams in Iran. International Journal of Advancements Civil Structural and Environmental Engineering, IJACSE, 2013. 1(1): p. 4.
7. Khosravi, K., et al., A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique. Natural Hazards, 2016. 83(2): p. 947-987.
8. Noori, M., M.B. Sharifi, and M. Heydari. Comparison of the SDSM and LARS-WG weather generators in Modeling of Climate Change in Golestan Province of Iran. in 8th National Congress on Civil Engineering, Babol Noshirvani University of Technology. 2014.
9. Noori, M., et al., Utilization of LARS-WG Model for Modelling of Meteorological Parameters in Golestan Province of Iran. Journal of River Engineering, 2013. 1.
10. Rahmati, O., H.R. Pourghasemi, and A.M. Melesse, Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: a case study at Mehran Region, Iran. Catena, 2016. 137: p. 360-372.
11. Vahid, H.D., et al., An investigation into the qualitative and quantitative effects of climate change on rivers in Iran. International Journal of Review in Life Sciences, 2016. 6(2): p. 6-13.
12. Albano, R., et al., A GIS-based model to estimate flood consequences and the degree of accessibility and operability of strategic emergency response structures in urban areas. Natural Hazards and Earth System Sciences, 2014. 14(11): p. 2847.
13. Alexakis, D., et al., GIS and remote sensing techniques for the assessment of land use change impact on flood hydrology: the case study of Yialias basin in Cyprus. Natural Hazards and Earth System Sciences, 2014. 14(2): p. 413-426.
14. Amirebrahimi, S., et al., A data model for integrating GIS and BIM for assessment and 3D visualisation of flood damage to building. Locate, 2015. 15: p. 10-12.
15. Amirebrahimi, S., et al., A framework for a microscale flood damage assessment and visualization for a building using BIM–GIS integration. International Journal of Digital Earth, 2016. 9(4): p. 363-386.
16. Atif, I., M.A. Mahboob, and A. Waheed, Spatio-temporal mapping and multi-sector damage assessment of 2014 flood in Pakistan using remote sensing and GIS. Indian Journal of Science and Technology, 2015. 8(35).
17. Behanzin, I.D., et al., GIS-based mapping of flood vulnerability and risk in the Bénin Niger River Valley. International journal of Geomatics and Geosciences, 2016. 6(3): p. 1653-1669.
18. Bhatt, G., et al., Flood hazard and risk assessment in Chamoli district, Uttarakhand using satellite remote sensing and GIS techniques. International Journal of Innovative Research in Science, Engineering and Technology, 2014. 3(8): p. 9.
19. Dawod, G.M., et al., Projected impacts of land use and road network changes on increasing flood hazards using a 4D GIS: A case study in Makkah metropolitan area, Saudi Arabia. Arabian Journal of Geosciences, 2014. 7(3): p. 1139-1156.
20. KLEMEŠOVÁ, K., M. KOLÁŘ, and I. ANDRÁŠKO, USING GIS IN THE FLOOD MANAGEMENT-FLOOD MAPS (TROUBKY, CZECH REPUBLIC). Geographia Technica, 2014. 9(2).
21. Kulkarni, A., et al., A web GIS based integrated flood assessment modeling tool for coastal urban watersheds. Computers & Geosciences, 2014. 64: p. 7-14.
22. Liu, R., et al., Assessing spatial likelihood of flooding hazard using naïve Bayes and GIS: a case study in Bowen Basin, Australia. Stochastic environmental research and risk assessment, 2016. 30(6): p. 1575-1590.
23. Ouma, Y.O. and R. Tateishi, Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: methodological overview and case study assessment. Water, 2014. 6(6): p. 1515-1545.
24. Patel, D.P. and P.K. Srivastava, Flood hazards mitigation analysis using remote sensing and GIS: correspondence with town planning scheme. Water resources management, 2013. 27(7): p. 2353-2368.
25. Pornasdoro, K.P., et al., Flood risk of Metro Manila Barangays: a GIS based risk assessment using multi-criteria techniques. Journal in Urban and Regional Planning, 2014. 1(1): p. 51-72.
26. Roșca, S., et al. Assessment of flood hazard and risk using Gis and historical data. Case-study: The Niraj River Basin (Transylvania Depression, Romania). Informatics, Geoinformatics and Remote Sensing. in Conference Proceedings-Photogrametry and Remote Sensing, Cartography and GIS. 2014.
27. Sowmya, K., C. John, and N. Shrivasthava, Urban flood vulnerability zoning of Cochin City, southwest coast of India, using remote sensing and GIS. Natural Hazards, 2015. 75(2): p. 1271-1286.
28. Tate, E.C. and D.R. Maidment, Floodplain mapping using HEC-RAS and ArcView GIS. 1999: Center for Research in Water Resources, University of Texas at Austin.
29. Heydari, M., F. Othman, and M. Noori, OPTIMAL OPERATION OF MULTIPLE AND MULTI PURPOSE RESERVOIRS SYSTEMS USING NON-DOMINATED SORTING GENETIC ALGORITHM (NSGA-II). FEB-FRESENIUS ENVIRONMENTAL BULLETIN, 2016: p. 2935.
30. Heydari, M., F. Othman, and K. Qaderi, Developing optimal reservoir operation for multiple and multipurpose reservoirs using mathematical programming. Mathematical Problems in Engineering, 2015. 2015.
31. Heydari, M., F. Othman, and M. Taghieh, Optimization of multiple and multipurpose reservoir system operations by using matrix structure (Case Study: Karun and Dez Reservoir Dams). PloS one, 2016. 11(6): p. e0156276.
32. Noori, M., et al., Multiobjective operation optimization of reservoirs using genetic algorithm (Case Study: Ostoor and Pirtaghi Reservoirs in Ghezel Ozan Watershed). Int Proc Chem Biol Environ Eng, 2013. 51: p. 49-54.
33. Othman, F., et al. Preliminary Review of the Optimal Operation of Reservoir Systems using Common Calculation Methods. in International Conference On Water Resources “Sharing Knowledge Of Issues In Water Resources Management To Face The Future. 2012.
34. Sadeghian, M.S., et al., Simulation of Karun River Reservoirs to Maximize Hydroelectric Power Generation. International Journal of Emerging Technology and Advanced Engineering, 2016. 6(5).
35. Sadeghian, M.S., et al., A STATISTICAL REVIEW OF THE MOST CITED ISI PAPERS IN THE FIELD OF RESERVOIR OPERATION. 2015.
36. Khalifehloo, M.H., M. Mohammad, and M. Heydari, Application of artificial neural network and regression analysis to recovery of missing hydrological data in Klang River Basin. Environmental Conservation, Clean Water, Air & Soil (CleanWAS), 2017: p. 67.
37. Othman, F., et al., Investigating the effectiveness of seasonalization based on statistical parameters in normalizing, modeling and forecasting inflow time series. Fresenius Environmental Bulletin, 2017. 26: p. 590-597.
38. Othman, F., et al. Direct and Indirect Effects of Drought using the Function Analysis Systems Technique (FAST) Diagram. in International Conference On Environment (ICENV 2012). 2012.
39. Othman, F., et al. A Study on Sedimentation in Sefidroud Dam by using Depth Evaluation and Comparing the Results with USBR and FAO methods. in 2nd International Conference on Environment, Energy and Biotechnology. doi. 2013.
40. Leopold, L.B., Hydrology for urban land planning: A guidebook on the hydrologic effects of urban land use. 1968.
41. Novotny, V., Water quality: prevention, identification and management of diffuse pollution. 1994: Van Nostrand-Reinhold Publishers.
42. Alamilla, S.K., V. Novotny, and A. Bartosova, GIS based approach to floodplain delineation and flood risk estimation applied to the Oak Creek Watershed. 2001, Marquette University.
Published
2018-08-03
How to Cite
Heydari, M., Javad Khosravi, M., Kianinejad, M. K., Yazdanirostam, F., Sadeghian, A., & ShahiriParsa, A. (2018). An Overview of the Application of Geographic Information Systems (GIS) in Crisis Management with an Emphasis on Flood Zoning. IJRDO-Journal of Applied Science, 4(7), 01-10. https://doi.org/10.53555/as.v4i7.2170
Section
Articles
Copyright (c) 2018 IJRDO - Journal of Applied Science (ISSN: 2455-6653)
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Author(s) and co-author(s) jointly and severally represent and warrant that the Article is original with the author(s) and does not infringe any copyright or violate any other right of any third parties, and that the Article has not been published elsewhere. Author(s) agree to the terms that the IJRDO Journal will have the full right to remove the published article on any misconduct found in the published article.
