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Identifying flood risk-prone areas in the regions of extreme aridity conditions is essential for mitigating flood risk and rainwater harvesting. Accordingly, the present work is addressed to the assessment of the flood risk depending on spatial analytic hierarchy process of the integration between both Remote Sensing Techniques (RST) and Geographic Information Systems (GIS). This integration results in enhancing the analysis with the savings of time and efforts. There are several remote sensing-based data used in conducting this research, including a digital elevation model with an accuracy of 30 m, spatial soil and geologic maps, historical daily rainfall records, and data on rainwater drainage systems. Five return periods (REPs) (2, 5, 10, 25, 50, 100, and 200 years) corresponding to flood hazards and vulnerability developments maps were applied via the weighted overlay technique. Although the results indicate lower rates of annual rainfall (53–71 mm from the southeast to the northwest), the city has been exposed to destructive flash floods. The flood risk categories for a 100-year REP were very high, high, medium, low, and very low with 17%, 41%, 33%, 8%, and 1% of total area, respectively. These classes correspond to residential zones and principal roads, which lead to catastrophic flash floods. These floods have caused socioeconomic losses, soil erosion, infrastructure damage, land degradation, vegetation loss, and submergence of cities, as well life loss. The results prove the GIS and RST effectiveness in mitigating flood risks and in helping decision makers in flood risk mitigation and rainwater harvesting.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Strony
215--229
Opis fizyczny
Bibliogr. 71 poz.
Twórcy
autor
- Alamoudi Water Research Chair, King Saud University, Riyadh, Saudi Arabia
autor
- Alamoudi Water Research Chair, King Saud University, Riyadh, Saudi Arabia
- Agricultural Engineering Department, King Saud University, Riyadh, Saudi Arabia
autor
- Agricultural Engineering Department, King Saud University, Riyadh, Saudi Arabia
- Agricultural Engineering Department, Ain Shams University, Cairo, Egypt
Bibliografia
- 1. Abbas A, Amjath-Babu T, Kächele H, Müller K (2016) Participatory adaptation to climate extremes: an assessment of households’ willingness to contribute labor for flood risk mitigation in Pakistan. J Water Clim Chang 7:621–636
- 2. Abboud IA, Nofal RA (2017) Morphometric analysis of wadi Khumal basin, western coast of Saudi Arabia, using remote sensing and GIS techniques. J Afr Earth Sci 126:58–74
- 3. Abdelkareem M (2017) Targeting flash flood potential areas using remotely sensed data and GIS techniques. Nat Hazards 85:19–37
- 4. Ahmad I, Verma V, Verma MK (2015) Application of curve number method for estimation of runoff potential in GIS environment. Paper presented at the 2nd international conference on geological and civil engineering
- 5. Aina YA, Merwe J, Alshuwaikhat HM (2008) Urban spatial growth and land use change in Riyadh: comparing spectral angle mapping and band ratioing techniques. Paper presented at the proceedings of the academic track of the 2008 free and open source software for geospatial (FOSS4G) conference, incorporating the GISSA 2008 Conference, Cape Town, South Africa
- 6. Amin M, Rizwan M, Alazba A (2016) A best-fit probability distribution for the estimation of rainfall in northern regions of Pakistan Open. Life Sci 11:432–440
- 7. Angelakis A (2016) Evolution of rainwater harvesting and use in Crete, Hellas, through the millennia. Water Sci Technol Water Supply 16:1624–1638
- 8. Archer D, Fowler H (2018) Characterising flash flood response to intense rainfall and impacts using historical information and gauged data in Britain. J Flood Risk Manag 11:S121–S133
- 9. Ashwan MSA, Salam AA, Mouselhy MA (2012) Population growth, structure and distribution in Saudi Arabia. Humanit Soc Sci Rev 1:33–46
- 10. Avcioglu B, Anderson CJ, Kalin L (2017) Evaluating the slope-area method to accurately identify stream channel heads in three physiographic regions JAWRA. J Am Water Resour Assoc 53:562–575
- 11. Bajabaa S, Masoud M, Al-Amri N (2014) Flash flood hazard mapping based on quantitative hydrology, geomorphology and GIS techniques (case study of Wadi Al Lith, Saudi Arabia). Arab J Geosci 7:2469–2481
- 12. Benzougagh B, Dridri A, Boudad L, Kodad O, Sdkaoui D, Bouikbane H (2017) Evaluation of natural hazard of Inaouene watershed river in northeast of Morocco: application of morphometric and geographic information system approaches. Int J Innov Appl Stud 19:85
- 13. Cronshey R (1986) Urban hydrology for small watersheds. US Dept. of Agriculture, Soil Conservation Service, Engineering Division
- 14. Dale M, Clarke J, Harris H (2016) Urban flood prediction and warning–challenges and solutions. Proc Water Environ Fed 2016:2237–2242. https://doi.org/10.2175/193864716819706022
- 15. Danumah JH et al (2016) Flood risk assessment and mapping in Abidjan district using multi-criteria analysis (AHP) model and geoinformation techniques (cote d’ivoire). Geoenviron Disasters 3:1–13
- 16. Deng L, McCabe MF, Stenchikov G, Evans JP, Kucera PA (2015) Simulation of flash-flood-producing storm events in Saudi Arabia using the weather research and forecasting model. J Hydrometeorol 16:615–630
- 17. Dile YT, Srinivasan R (2014) Evaluation of CFSR climate data for hydrologic prediction in data-scarce watersheds: an application in the Blue Nile River basin JAWRA. J Am Water Resour Assoc 50:1226–1241
- 18. Elfeki A, Masoud M, Niyazi B (2017) Integrated rainfall–runoff and flood inundation modeling for flash flood risk assessment under data scarcity in arid regions: Wadi Fatimah basin case study, Saudi Arabia. Nat Hazards 85:87–109
- 19. Fisher P, Comber AJ, Wadsworth R (2005) Land use and land cover: contradiction or complement. Re-presenting GIS. Wiley, England, pp 85–98
- 20. Fuka DR, Walter MT, MacAlister C, Degaetano AT, Steenhuis TS, Easton ZM (2014) Using the climate forecast system reanalysis as weather input data for watershed models. Hydrol Process 28:5613–5623
- 21. Gajbhiye S, Mishra S, Pandey A (2014) Relationship between SCS-CN and sediment yield Applied Water. Science 4:363–370
- 22. Gajbhiye S, Mishra S, Pandey A (2015) Simplified sediment yield index model incorporating parameter curve number. Arab J Geosci 8:1993–2004
- 23. GhaffarianHoseini A, Tookey J, GhaffarianHoseini A, Yusoff SM, Hassan NB (2016) State of the art of rainwater harvesting systems towards promoting green built environments: a review. Desalin Water Treat 57:95–104
- 24. Ghorbani Nejad S, Falah F, Daneshfar M, Haghizadeh A, Rahmati O (2017) Delineation of groundwater potential zones using remote sensing and GIS-based data-driven models. Geocarto Int 32:167–187
- 25. Gruntfest E, Handmer J (2001) Dealing with flash floods: contemporary issues and future possibilities. In: Gruntfest E, Handmer J (eds) Coping with flash floods. Springer, Dordrecht, pp 3–10
- 26. Hoedjes JC et al (2014) A conceptual flash flood early warning system for Africa, based on terrestrial microwave links and flash flood guidance. ISPRS Int J Geo-Inf 3:584–598
- 27. Horton RE (1932) Drainage-basin characteristics Eos. Trans Am Geophys Union 13:350–361
- 28. Ibrahim-Bathis K, Ahmed S (2016) Rainfall-runoff modelling of Doddahalla watershed—an application of HEC-HMS and SCN-CN in ungauged agricultural watershed. Arab J Geosci 9:1–16
- 29. Karagiorgos K, Thaler T, Hübl J, Maris F, Fuchs S (2016) Multi-vulnerability analysis for flash flood risk management. Nat Hazards 82:63–87
- 30. Khan AN (2011) Analysis of flood causes and associated socio-economic damages in the Hindukush region. Nat Hazards 59:1239
- 31. Lee RS, Traver RG, Welker AL (2016) Evaluation of soil class proxies for hydrologic performance of in situ bioinfiltration systems. J Sustain Water Built Environ 2:1–10
- 32. Li R, Rui X, Zhu A-X, Liu J, Band LE, Song X (2015) Increasing detail of distributed runoff modeling using fuzzy logic in curve number. Environ Earth Sci 73:3197–3205
- 33. Mack B, Leinenkugel P, Kuenzer C, Dech S (2017) A semi-automated approach for the generation of a new land use and land cover product for Germany based on Landsat time-series and Lucas in situ data. Remote Sens Lett 8:244–253
- 34. Mahmood S, Mayo SM (2016) Exploring underlying causes and assessing damages of 2010 flash flood in the upper zone of Panjkora River. Nat Hazards 83:1213–1227
- 35. Mahmood S, Ullah S (2016) Assessment of 2010 flash flood causes and associated damages in Dir Valley, Khyber Pakhtunkhwa Pakistan. Int J Disaster Risk Reduct 16:215–223
- 36. Mahmoud SH, Gan TY (2018a) Impact of anthropogenic climate change and human activities on environment and ecosystem services in arid regions. Sci Total Environ 633:1329–1344
- 37. Mahmoud SH, Gan TY (2018b) Long-term impact of rapid urbanization on urban climate and human thermal comfort in hot-arid environment. Build Environ 142:83–100
- 38. Mahmoud SH, Gan TY (2018c) Multi-criteria approach to develop flood susceptibility maps in arid regions of Middle East. J Clean Prod 196:216–229
- 39. Mahmoud SH, Gan TY (2018d) Urbanization and climate change implications in flood risk management: developing an efficient decision support system for flood susceptibility mapping. Sci Total Environ 636:152–167
- 40. Mahmoud SH, Gan TY (2019) Irrigation water management in arid regions of Middle East: assessing spatio-temporal variation of actual evapotranspiration through remote sensing techniques and meteorological data. Agric Water Manag 212:35–47
- 41. Masoud M (2016) Geoinformatics application for assessing the morphometric characteristics’ effect on hydrological response at watershed (case study of Wadi Qanunah, Saudi Arabia). Arab J Geosci 9:1–22
- 42. Mishra SK, Singh V (2013) SCS-CN Method. Soil conservation service curve number (SCS-CN) methodology, vol 42. Springer, Dordrecht, pp 84–146
- 43. Mohammad FS, Adamowski J (2015) Interfacing the geographic information system, remote sensing, and the soil conservation service–curve number method to estimate curve number and runoff volume in the Asir region of Saudi Arabia. Arab J Geosci 8:11093–11105
- 44. Mohan T, Rajeevan M (2017) Past and future trends of hydroclimatic intensity over the Indian Monsoon region. J Geophys Res Atmosp 122:896–909
- 45. NRCS (2007) National engineering handbook: part 630—hydrology, USDA Soil Conservation Service. Washington, DC, USA. https://directives.sc.egov.usda.gov/viewerFS.aspx?hid=21422. Accessed 22 Mar 2017
- 46. NRCS (2009) National engineering handbook: part 630—hydrology, USDA Soil Conservation Service. Washington, DC, USA. https://directives.sc.egov.usda.gov/viewerFS.aspx?hid=21422. Accessed 22 Mar 2017
- 47. Oliveira P, Nearing M, Hawkins R, Stone J, Rodrigues D, Panachuki E, Wendland E (2016) Curve number estimation from Brazilian Cerrado rainfall and runoff data. J Soil Water Conserv 71:420–429
- 48. Ouma YO, Tateishi R (2014) Urban flood vulnerability and risk mapping using integrated multi-parametric AHP and GIS: methodological overview and case study assessment. Water 6:1515–1545
- 49. Papaioannou G, Vasiliades L, Loukas A (2015) Multi-criteria analysis framework for potential flood prone areas mapping. Water Resour Manag 29:399–418
- 50. Qhtani AM, Al Fassam AN (2011) Ar Riyadh Geospatial urban information system and metropolitan development strategy for Ar Riyadh. Paper presented at the ESRI international user conference
- 51. Radwan F, Alazba A, Mossad A (2017) Watershed morphometric analysis of Wadi Baish Dam catchment area using integrated GIS-based approach. Arab J Geosci 10:256
- 52. Rahman MT, Aldosary AS, Nahiduzzaman KM, Reza I (2016) Vulnerability of flash flooding in Riyadh, Saudi Arabia. Nat Hazards 84:1807–1830
- 53. Rahmati O, Zeinivand H, Besharat M (2016) Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis. Geomat Nat Hazards Risk 7:1000–1017
- 54. Rai PK, Mohan K, Mishra S, Ahmad A, Mishra VN (2017) A GIS-based approach in drainage morphometric analysis of Kanhar River Basin, India. Appl Water Sci 7:217–232
- 55. Ranjan R (2017) Flood disaster management. In: Sharma N (ed) River system analysis and management. Springer, Singapore, pp 371–417
- 56. Redwan M, Rammlmair D (2017) Flood hazard assessment and heavy metal distributions around Um Gheig mine area, Eastern Desert, Egypt. J Geochem Explor 173:64–75
- 57. Rimba AB, Setiawati MD, Sambah AB, Miura F (2017) Physical flood vulnerability mapping applying geospatial techniques in Okazaki City, Aichi Prefecture, Japan. Urban Sci 1:1–22
- 58. Ruin I, Creutin J-D, Anquetin S, Lutoff C (2008) Human exposure to flash floods—relation between flood parameters and human vulnerability during a storm of September 2002 in Southern France. J Hydrol 361:199–213
- 59. Ruin I, Creutin J-D, Anquetin S, Gruntfest E, Lutoff C (2009) Human vulnerability to flash floods: addressing physical exposure and behavioural questions. Paper presented at the Flood risk management: research and practice proceedings of the European Conference on Flood Risk Management Research into Practice (FLOODrisk 2008), Oxford, UK, 30 September-2 October 2008
- 60. Ryu J, Jung Y, Kong DS, Park BK, Kim YS, Engel BA, Lim KJ (2016) Approach of land cover based asymptotic curve number regression equation to estimate runoff. Irrig Drain 65:94–104
- 61. Saaty TL (1980) The analytical hierarchy process: planning, priority setting, resource allocation. RWS publication, Pittsburg
- 62. Sartori A, Hawkins RH, Genovez AM (2011) Reference curve numbers and behavior for sugarcane on highly weathered tropical soils. J Irrig Drain Eng 137:705–711
- 63. Shadeed S, Almasri M (2010) Application of GIS-based SCS-CN method in West Bank catchments. Palest Water Sci Eng 3:1–13
- 64. Špitalar M, Gourley JJ, Lutoff C, Kirstetter P-E, Brilly M, Carr N (2014) Analysis of flash flood parameters and human impacts in the US from 2006 to 2012. J Hydrol 519:863–870
- 65. Starosolszky O, Melder O (2014) Hydrology of disasters: proceedings of the world meteorological organization technical conference held in Geneva, November 1988. Routledge
- 66. Stefanidis S, Stathis D (2013) Assessment of flood hazard based on natural and anthropogenic factors using analytic hierarchy process (AHP). Nat Hazards 68:569–585
- 67. Subyani AM, Al-Amri NS (2015) IDF curves and daily rainfall generation for Al-Madinah city, western Saudi Arabia. Arab J Geosci 8:11107–11119
- 68. Tirkey AS, Ghosh M, Pandey A, Shekhar S (2017) Assessment of climate extremes and its long term spatial variability over the Jharkhand state of India. Egypt J Remote Sens Space Sci 21:49–63
- 69. Wu M, Che Y, Lv Y, Yang K (2017) Neighbourhood-scale urban riparian ecosystem classification. Ecol Indic 72:330–339
- 70. Yalcin M, Gul FK (2017) A GIS-based multi criteria decision analysis approach for exploring geothermal resources: Akarcay basin (Afyonkarahisar). Geothermics 67:18–28
- 71. Zhang Q, Luo G, Li L, Zhang M, Lv N, Wang X (2017) An analysis of oasis evolution based on land use and land cover change: a case study in the Sangong River Basin on the northern slope of the Tianshan Mountains. J Geog Sci 27:223–239
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5134b7d8-9e61-4aa0-b854-7a77d47d153a