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

Volumn 14, Issue 2, 2014, Pages 413-426

  Alexakis, D D ^a   Grillakis, M G ^b   Koutroulis, A G ^b   Agapiou, A ^a   Themistocleous, K ^a   Tsanis, I K ^b,f   Michaelides, S ^c   Pashiardis, S ^c   Demetriou, C ^d   Aristeidou, K ^d   Retalis, A ^e   Tymvios, F ^c   Hadjimitsis, D G ^a  

^a CYPRUS UNIVERSITY OF TECHNOLOGY   (Cyprus)

^b TECHNICAL UNIVERSITY OF CRETE   (Greece)

^c Cyprus Department of Meteorology   (Cyprus)

^d Water Development Department   (Cyprus)

^e NATIONAL OBSERVATORY OF ATHENS   (Greece)

^f MCMASTER UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ASSESSMENT METHOD; ASTER; CATCHMENT; CELLULAR AUTOMATON; FLOOD; GIS; HYDROLOGICAL MODELING; LAND USE CHANGE; MARKOV CHAIN; NATURAL DISASTER; REMOTE SENSING; RUNOFF; STREAMFLOW; WATERSHED;

CYPRUS; NICOSIA [CYPRUS]; YIALIAS BASIN;

EID: 84896811332     PISSN: 15618633     EISSN: 16849981     Source Type: Journal    
DOI: 10.5194/nhess-14-413-2014     Document Type: Article

References (53)

1. Adhikari, S. and Southworth J.: Simulating Forest Cover Changes of Bannerghatta National Park Based on a CA-Markov Model: A Remote Sensing Approach, Rem. Sens., 4, 3215-3243, 2012.
2. Agapiou, A., Hadjimitsis, D. G., Papoutsa, C., Alexakis, D. D., and Papadavid, G.: The Importance of Accounting for Atmospheric Effects in the Application of NDVI and Interpretation of Satellite Imagery Supporting Archaeological Research: The Case Studies of Palaepaphos and Nea Paphos Sites in Cyprus, Rem. Sens., 3, 2605-2629, 2011.
3. Ahmed, B. and Ahmed, R: Modelling Urban Land Cover Growth Dynamics Using MultiTemporal Satellite Images: A Case Study of Dhaka, Bangladesh. ISPRS Int. J. Geo-Inf., 1, 3-31, 2012.
4. Alexakis D., Agapiou A., Hadjimitsis D. G., and Retalis A.: Optimizing statistical classification accuracy of satellite remotely sensed imagery for supporting fast flood hydrological analysis, Acta Geophys., 60, 959-984, 2012a.
5. Alexakis, D. D., Hadjimitsis, D. G., Agapiou, A., Themistocleous, K., and Retalis, A.: Monitoring urban land cover using satellite remote sensing techniques and field spectroradiometric measurements: the case study of Yialias catchment area in Cyprus. J. Appl. Rem. Sens., 6, 063603, doi:10.1117/1.JRS.6. 063603, 2012b.
6. Baatz, M. and Schape, A.: Multiresolution segmentation-an optimization approach for high quality multi-scale image seg-mentation, in: Angewandte Geographische Informationsverarbeitung, edited by: Strobl, J., Blaschke, T., Griesebner, G., XII. Wichmann-Verlag, Heidelberg, 12-23, 2000.
7. Baatz, M., Benz, U., Dehghani, S., Heynen, M., Holtje, A., Hofmann, P., Lingenfelder, I., Mimler, M., Sohlbach, M., Weber, M., and Willhauck, G.: eCognition Professional: User Guide 4, Definiens-Imaging, Munich, 2004.
8. Bedient, P. B., Holder, A., Benavides, J. A., and Vieux, B. E.: Radarbased flood warning system applied to tropical storm Allison, J. Hydro Enginee., 8, 308-318, 2003. (Pubitemid 37436444)
9. Boegh, E., Poulsen, R. N., Butts, M., Abrahamsen, P., Dellwik, E., Hansen, S., Hasager, C. B., Ibrom, A., Loerup, J. K., Pilegaard and K., and Soegaard, H.: Remote sensing based evapotranspiration and runoff modeling of agricultural, forest and urban flux sites in Denmark: From field to macro-scale, J. Hydrol., 377, 300-316, 2009.
10. Chen, Y., Xu, Y., and Yin, Y.: Impacts of land use change scenarios on storm-runoff generation in Xitiaoxi basin, China, Quat. Inter. 208, 121-128, 2009.
11. Clark, C. O.: Storage and the unit hydrograph, Transactions: American Society of Civil Engineers, 110, 1419-1488, 1945.
12. Definiens AG: Definiens Developer 7.0, User Guide, Munich, Germany, 506 pp., 2008.
13. DeFries, R. and Eshleman, K. N.: Land-use change and hydrologic processes: a major focus for the future, Hydrol. Process., 18, 2183-2186, 2004.
14. Elmer, F., Hoymann, J., Duthmann, D., Vorogyshyn, S., and Kreibich, H.: Drivers of flood risk change in residential areas, Nat. Hazards Earth Syst. Sci., 12, 1641-1657, 2012, http://www.nat-hazards-earth-syst-sci.net/12/1641/ 2012/. Fohrer, N., Haverkamp, S., Eckhardt, K., and Frede, H.G.: Hydrologic Response to Land Use Changes on the Catchment Scale, Phys. Chem. Earth, 26, 577-582, 2001.
15. Garrote, L. and Bras, R. L.: A distributed model for real-time flood forecasting using digital elevation models, J. Hydrol, 16, 279-306, 1995.
16. Giertz, S., Diekkrüger, B., Jaeger, A., and Schopp, M.: An interdisciplinary scenario analysis to assess the water availability and water consumption in the Upper Oueme catchment in Benin. Advan. Geosci., 9, 3-13, 2006. (Pubitemid 44483212)
17. Grillakis, M. G., Tsanis, I. K., and Koutroulis, A.G.: Application of the HBV hydrological model in a flash flood case in Slovenia, Nat. Hazards Earth Syst. Sci., 10, 2713-2725, 2010, http://www.nat-hazards-earth-syst-sci.net/10/ 2713/2010/.
18. Grillakis, M. G., Koutroulis, A. G., and Tsanis, I. K.: Climate change impact on the hydrology of Spencer Creek watershed in Southern Ontario, Canada, J. Hydrol., 409, 1-19, 2011.
19. Hadjimitsis, D. G., Clayton, C. R. I., and Hope, V. S.: An assessment of the effectiveness of atmospheric correction algorithms through the remote sensing of some reservoirs, Int. J. Rem. Sens., 25, 3651-3674, 2004. (Pubitemid 39250809)
20. Hadjimitsis, D. G.: The importance of monitoring urban growth and land-cover changes in catchment areas in Cyprus using multitemporal remotely sensed data, Nat. Haz. Eart. Syst. Scienc. J., 10, 2235-2240, 2010.
21. Hall, M. J.: Urban Hydrology. Elsevier Applied Science Publishers, Northern Ireland, 1984.
22. HEC: 2000 Hydrologic Modeling System: Technical Reference Manual, US Army Corps of Engineers Hydrologic Engineering Center, Davis, CA, 2000.
23. HEC, 2001 HEC-HMS User's Manual, US Army Corps of Engineers Hydrologic Engineering Center, Davis, CA, 2001.
24. Ivits, E. and Koch, B.: Object-oriented remote sensing tools for biodiversity assessment: A European approach, In: Proceedings of the 22nd EARSeL symposium, Prague, Czech Republic, Rotterdam, Netherlands, Millpress Science Publishers, 2002.
25. Kityuttachai, K., Tripathi, N., Tipdecho, T., and Shrestha, R.: CAMarkov Analysis of Constrained Coastal Urban Growth Modeling: Hua Hin Seaside City, Thailand, Sustainability, 5, 1480-1500, 2013.
26. Knebl,M. R., Yang, Z. L., Hutchison, K., and Maidment, D. R.: Regional scale flood modeling using NEXRAD rainfall, GIS, and HEC-HMS/RAS: a case study for the San Antonio River Basin Summer 2002 storm event, J. Environ. Manag., 75, 325-336, 2005. (Pubitemid 40613509)
27. Koutroulis, A. and Tsanis, I.: A method for estimating flash flood peak discharge in a poorly gauged basin: Case study for the 13-14 January 1994 flood, Giofiros basin, Crete, Greece, J. Hydro., 385, 150-164, 2010.
28. Kull, D. and Feldman, A.: Evolution of Clark's unit graph method to spatially distributed runoff, J. Hydro. Engin., 3, 9-19, 1998.
29. Kundzewicz, Z. W., Ulbrich, U., brucher, T., Graczyk, D., Kruger,A., Leckebusch, G. C., and Lambin, E. F.: Modeling Deforestation Processes: A Review; European Commission: Luxemburg, 1-113, 1994.
30. Lin, Y., Hong, N., Wu, P., Wu, C., and Verburg, P.: Impacts of land use change scenarios on hydrology and land use patterns in the Wu-Tu watershed in Northern Taiwan, Landscape and Urban Planning, 80, 111-126, 2007. (Pubitemid 46275154)
31. Mao, D. and Cherkauer, K. A.: Impacts of land-use change on hydrologic responses in the Great Lakes region, J. Hydrol., 374, 71-82, 2009.
32. Memarian, H., Balasundram, S. K., Talib, J. B., Sung, C. T. B., Sood, A. M., and Abbaspour, K.,: Validation of CA-Markov for Simulation of Land Use and Cover Change in the Langat Basin, Malaysia J. Geograp. Info. Sys., 4, 542-554, 2012.
33. Moiwo, J. P., Lu, W. X., Zhao, Y. S., Yang, Y. H., and Yang, Y. M.: Impact of land use on distributed hydrological processes in the semi-arid wetland ecosystem of Western Jilin, Hydrol. Process., 24, 492-503, 2010.
34. Nash, J. E. and Sutcliffe, J. V.: River flow forecasting through conceptual models, Part I-A discussion of principles, J. Hydrol., 10, 282-290, 1970.
35. Nejadhashemi, A. P. Wardynski, B. J., and Munoz, J. D.: Evaluating the impacts of land use changes on hydrologic responses in the agricultural regions of Michigan and Wisconsin, Hydrol. Earth Syst. Sci. Discuss., 8, 3421-3468, doi:10.5194/hessd-8-3421-2011, 2011.
36. Ozturk, M., Copty, N., and Saysel, A.: 2013 Modeling the impact of land use change on the hydrology of a rural Watershed, J. Hydrol., 497, 97-109, 2013.
37. Peters, J. C. and Easton, D. J.: Runoff simulation using radar rainfall data, J. Americ. Water Resource. Assoc., 32, 753-760, 1996.
38. Ragab, R. and Cooper, J. D.: Variability of unsaturated zone water transport parameters: implications for hydrological modelling, 1. In situ measurements, J. Hydrol., 148, 109-131, 1993.
39. Roosmalen, L., Sonnenborg, T., and Jensen, K.: Impact of climate and land use change on the hydrology of a large-scale agricultural catchment, Water Resour.Resear., 45, W00A15, doi:10.1029/2007WR006760, 2009.
40. Savary, S., Rousseau, A. N., and Quilbiota, R.: Assessing the effects of historical land cover changes on runoff and low flows using remote sensing and hydrological modeling, J. Hydrol. Eng. 14, 575-587, 2009.
41. SCS National Engineering Handbook: Section 4: Hydrology, Soil Conservation Service, USDA, Washington, DC, 1985.
42. Schilling, K. E., Chan, K. S., Liu, H., and Zhang, Y. K.: Quantifying the effect of land use land cover change on increasing discharge in the Upper Mississippi River, J. Hydrol., 387, 343-345, 2010.
43. Stephens, E. M., Bates P. D. Freer, J. E., and Mason, D. C.: The impact of uncertainty in satellite data on the assessment of flood inundation models, J. Hydrol., 414-415, 162-173, 2012.
44. Stow, D., Lopez, A., Lippitt, C., Hinton, S., and Weeks, J.: Objectbased classification of residential land use within Accra, Ghana based on QuickBird satellite data, Inter. J. Remo. Sens., 28, 5167-5173, 2007. (Pubitemid 351454129)
45. Taubenböck, H., Wurm, M., Netzband, M., Zwenzner, H., Roth, A., Rahman, A., and Dech, S.: Flood risks in urbanized areas-multi-sensoral approaches using remotely sensed data for risk assessment, Nat. Hazards Earth Syst. Sci., 11, 431-444, doi:10.5194/nhess-11-431-2011, 2011.
46. Te Linde, A. H., Bubeck, P., Dekkers, J. E. C., de Moel, H., and Aerts, J. C. J. H.: Future flood risk estimates along the river Rhine, Nat. Hazards Earth Syst. Sci., 11, 459-473, doi:10.5194/nhess-11-459-2011, 2011.
47. Tsanis, I. K., Koutroulis, A. G., Daliakopoulos, I. N., and Jacob, D.: Severe climate induced water shortage and extremes in Crete, Clim. Change, 106, 667-677, 2011.
48. Turnbull, L., Wainwright, J., and Brazier, R. E.: Changes in hydrology and erosion over a transition from grassland to shrubland, Hydrol. Process., 24, 393-414, 2010.
49. US Department of Agriculture: Soil Conservation Service.National Engineering Handbook, Hydrology Section 4, Chapters 4-10, Washington, DC, USDA, 1972.
50. Whiteside, T., Boggs, G., and Maier, S.: Comparing object-based and pixel-based classifications for mapping savannas, Int. J. Appl. Earth Observ. Geoinfo., 13, 884-893, 2011.
51. Willhauck, G., Schneider, T., De Kok, R., and Ammer, U.: Comparison of object oriented classification techniques and standard image analysis for the use of change detection between SPOT multispectral satellite images and aerial photos, in: Proceedings of XIX ISPRS Congress, Amsterdam, July 16-22, 2000.
52. Wu, X., Sullivan, T. J., and Heidinger, K. A.: Operational calibration of the advanced very high resolution radiometer (AVHRR) visible and near-infrared channels, Can. J. Rem. Sens., 36, 602-616, 2010.
53. Xingnan, Z., Yangyang L., Yuanhao F., Bojuan L., and Dazhong, X.: Modeling and assessing hydrologic processes for historical and potential land-cover change in the Duoyingping watershed, southwest China, Phys. Chem. Earth, 53/54, 19-29, 2012.