Assessing land use /cover variation effects on flood intensity via hydraulic simulations

References

• Achleitner, S., Huttenlau, M., Winter, B., Reiss, J., Plörer, M., & Hofer, M. (2016). Temporal development of flood risk considering settlement dynamics and local flood protection measures on catchment scale: An Austrian case study. International Journal of River Basin Management, 14(3), 273–285. doi:10.1080/15715124.2016.1167061
   Web of Science ®Google Scholar
• Alexander, L. V., Zhang, X., Peterson, T. C., Caesar, J., Gleason, B., Klein Tank, A. M. G., … Vazquez-Aguirre, J. L. (2006). Global observed changes in daily climate extremes of temperature and precipitation. Journal of Geophysical Research: Atmospheres, 111(D5), 1–22. doi:10.1029/2005JD006290.
   Google Scholar
• Al-Zahrani, M., Al-Areeq, A., & Sharif, H. (2016). Flood analysis using HEC-RAS model: A case study for Hafr Al-Batin, Saudi Arabia. In E3S Web of Conferences (Vol. 7, p. 04024). EDP Sciences. Retrieved from http://www.e3s-conferences.org/articles/e3sconf/abs/2016/02/e3sconf_flood2016_04024/e3sconf_flood2016_04024.html
   Google Scholar
• Alzate, S. J., Guyumus, D. E., Quijano, J. P., & Díaz-Granados, M. (2016). Two-dimensional hydraulic flood modelling in domains with multiple tributaries areas for risk analysis. In River Flow 2016 (pp. 1784–1792). CRC Press. Retrieved from http://www.crcnetbase.com/doi/pdfplus/10.1201/9781315644479-27910.1201/9781315644479
   Google Scholar
• Banner, K. M., & Higgs, M. D. (2017). Considerations for assessing model averaging of regression coefficients. Ecological Applications, 27(1), 78–93.10.1002/eap.2017.27.issue-1
   Google Scholar
• Booij, M. J. (2005). Impact of climate change on river flooding assessed with different spatial model resolutions. Journal of Hydrology, 303(1–4), 176–198. doi:10.1016/j.jhydrol.2004.07.013
   Web of Science ®Google Scholar
• Brath, A., Montanari, A., & Moretti, G. (2006). Assessing the effect on flood frequency of land use change via hydrological simulation (with uncertainty). Journal of Hydrology, 324(1–4), 141–153. doi:10.1016/j.jhydrol.2005.10.001
   Web of Science ®Google Scholar
• Bronstert, A. (2003). Floods and climate change: Interactions and impacts. Risk Analysis, 23(3), 545–557.10.1111/risk.2003.23.issue-3
   Google Scholar
• Cundill, G., & Fabricius, C. (2010). Monitoring the governance dimension of natural resource co-management. Ecology and Society, 15(1). Retrieved from http://www.ecologyandsociety.org/vol15/iss1/art15/main.html
   Google Scholar
• D’Ambrosio, E., De Girolamo, A. M., Barca, E., Ielpo, P., & Rulli, M. C. (2016). Characterising the hydrological regime of an ungauged temporary river system: A case study. Environmental Science and Pollution Research, 24(16), 13950–13966.
   Google Scholar
• De Bruijn, K. M., Diermanse, F. L. M., & Beckers, J. V. L. (2014). An advanced method for flood risk analysis in river deltas, applied to societal flood fatality risk in the Netherlands. Natural Hazards and Earth System Science, 14(10), 2767–2781.10.5194/nhess-14-2767-2014
   Web of Science ®Google Scholar
• DeFries, R., & Eshleman, K. N. (2004). Land-use change and hydrologic processes: A major focus for the future. Hydrological Processes, 18(11), 2183–2186.10.1002/(ISSN)1099-1085
   Web of Science ®Google Scholar
• Esteban-Parra, M. J., Rodrigo, F. S., & Castro-Diez, Y. (1998). Spatial and temporal patterns of precipitation in Spain for the period 1880–1992. International Journal of Climatology, 18(14), 1557–1574.10.1002/(ISSN)1097-0088
   Google Scholar
• Faghih, M., Mirzaei, M., Adamowski, J., Lee, J., & El-Shafie, A. (2017). Uncertainty estimation in flood inundation mapping: An application of non-parametric bootstrapping. River Research and Applications, 33(4), 611–619. doi: 10.1002/rra.3108
   Web of Science ®Google Scholar
• Gems, B., Achleitner, S., Huttenlau, M., Thieken, A., & Aufleger, M. (2009). Flood control management for an alpine valley in Tyrol-an integrated hydrological-hydraulic approach. 33rd IAHR World Congress, Vancouver. Retrieved from https://www.researchgate.net/profile/Bernhard_Gems/publication/285393526_Flood_control_management_for_an_alpine_valley_in_Tyrol_-_an_integrated_hydrological-hydraulic_approach/links/5763171208ae192f513e3f0b.pdf
   Google Scholar
• Golshan, M., Jahanshahi, A., & Afzali, A. (2016). Flood hazard zoning using HEC-RAS in GIS environment and impact of manning roughness coefficient changes on flood zones in Semi-arid climate. Desert, 21(1), 24–34.
   Google Scholar
• Goodell, C., & Warren, C. (2006). Flood inundation mapping using HEC-RAS. In Obras Y Proyectos, (2nd ed., pp. 18–23).
   Google Scholar
• Harada, I., Hara, K., Park, J., Asanuma, I., Tomita, M., Hasegawa, D., & Short, K. (2015). Monitoring of rapid land cover changes in eastern Japan using Terra/MODIS data. ISPRS – International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-7/W3(7), 403–408.10.5194/isprsarchives-XL-7-W3-403-2015
   Google Scholar
• Henderson, J. E. (1986). Environmental designs for streambank protection projects. Journal of the American Water Resources Association, 22(4), 549–558.10.1111/jawr.1986.22.issue-4
   Google Scholar
• Horritt, M. S., & Bates, P. D. (2002). Evaluation of 1D and 2D numerical models for predicting river flood inundation. Journal of Hydrology, 268(1–4), 87–99. doi:10.1016/S0022-1694(02)00121-X
   Web of Science ®Google Scholar
• Hundecha, Y., & Bárdossy, A. (2004). Modeling of the effect of land use changes on the runoff generation of a river basin through parameter regionalization of a watershed model. Journal of Hydrology, 292(1–4), 281–295.10.1016/j.jhydrol.2004.01.002
   Web of Science ®Google Scholar
• Khattak, M., Anwar, F., Sheraz, K., Saeed, T., Sharif, M., & Ahmed, A. (2016). Floodplain mapping using HEC-RAS and ArcGIS: A case study of Kabul River. Arabian Journal for Science & Engineering (Springer Science & Business Media BV), 41(4), 1375–1390.
   Google Scholar
• Khosru Shahi, M., Abrishami, T., Asghar, A., & Sheybani Zadeh, Z. (2009). Results of flood increasing and aggravation in Iran with emphasis vegetation cover effect in Khorasan-e_razavi Province (Iran). Reseach Institute of Forest and Rangeland, P189.
   Google Scholar
• Kuks, S., & Kissling-Näf, I. (2004). The evolution of national water regimes in Europe: Transitions in water rights and water policies (Vol. 40). Springer Science & Business Media. Retrieved from https://books.google.fr/books?hl=fr&lr=&id=96BdUGfamB8C&oi=fnd&pg=PR11&dq=Kuks+SMM+(2005)+The+evolution+of+national+water+regimes+in+Europe.+Transitions+in+water+rights+and+water+policies.+Paper+for+the+Conference+on+BSustainable+Water+Management:+Comparing+Perspectives+from+Australia,+Europe+and+the+United+States%5E,+15%E2%80%9316+Sept&ots=L_IWv2GtnQ&sig=nNM5ae2j_94l0SPCsuRFwfTPCjY
   Google Scholar
• Lavabre, J., Torres, D. S., & Cernesson, F. (1993). Changes in the hydrological response of a small Mediterranean basin a year after a wildfire. Journal of Hydrology, 142(1–4), 273–299.10.1016/0022-1694(93)90014-Z
   Web of Science ®Google Scholar
• Matheussen, B., Kirschbaum, R. L., Goodman, I. A., O’Donnell, G. M., & Lettenmaier, D. P. (2000). Effects of land cover change on streamflow in the interior Columbia River Basin (USA and Canada). Hydrological Processes, 14(5), 867–885.10.1002/(ISSN)1099-1085
   Google Scholar
• Meehl, G. A., Zwiers, F., Evans, J., Knutson, T., Mearns, L., & Whetton, P. (2000). Trends in extreme weather and climate events: Issues related to modeling extremes in projections of future climate change. Bulletin of the American Meteorological Society, 81(3), 427–436.10.1175/1520-0477(2000)081<0427:TIEWAC>2.3.CO;2
   Web of Science ®Google Scholar
• Ntegeka, V., & Willems, P. (2008). Trends and multidecadal oscillations in rainfall extremes, based on a more than 100-year time series of 10 min rainfall intensities at Uccle, Belgium. Water Resources Research, 44(7). W07402 (1–15). doi:10.1029/2007WR006471
   Web of Science ®Google Scholar
• Oudin, L., Andréassian, V., Perrin, C., Michel, C., & Le Moine, N. (2008). Spatial proximity, physical similarity, regression and ungaged catchments: A comparison of regionalization approaches based on 913 French catchments. Water Resources Research, 44(3). W03413 (1–15). doi:10.1029/2007WR006240
   Web of Science ®Google Scholar
• Pachauri, R. K., Allen, M. R., Barros, V. R., Broome, J., Cramer, W., Christ, R., … van Ypserle, J. P. (2014). Climate change 2014: Synthesis report. In Contribution of working groups I, II and III to the fifth assessment report of the intergovernmental panel on climate change (p. 151). R. Geneva, Switzerland: IPCC. ISBN: 978-92-9169-143-2.
   Google Scholar
• Pahl-Wostl, C., Arthington, A., Bogardi, J., Bunn, S. E.,Hoff, H., Lebel, L., ... Tsegai, D. (2013). Environmentalflows and water governance: Managing sustainable wateruses. Current Opinion in Environmental Sustainability, 5(3), 341–351. doi:10.1016/j.cosust.2013.06.009
   Google Scholar
• Pappenberger, F., Beven, K., Horritt, M., & Blazkova, S. (2005). Uncertainty in the calibration of effective roughness parameters in HEC-RAS using inundation and downstream level observations. Journal of Hydrology, 302(1–4), 46–69. doi:10.1016/j.jhydrol.2004.06.036
   Web of Science ®Google Scholar
• Sami, G., Hadda, D., & Mahdi, K. (2016). Estimation and mapping of extreme rainfall in the catchment area of batna (Algeria). Annals of the University of Oradea, Geography Series/Analele Universitatii Din Oradea, Seria Geografie, 26(1). Retrieved from http://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=12211273&AN=117903293&h=dDwutstxcOkVFwDsNgEZQvSvX5Z8H9qrF3tSjG54i39SLSXZKcn5N6AMFBuFKAH%2FITqrxyFw6Yrgbrwg97SQgQ%3D%3D&crl=c
   Google Scholar
• Sanders, B. F. (2007). Evaluation of on-line DEMs for flood inundation modeling. Advances in Water Resources, 30(8), 1831–1843. doi:10.1016/j.advwatres.2007.02.005
   Web of Science ®Google Scholar
• Sarhadi, A., Soltani, S., & Modarres, R. (2012). Probabilistic flood inundation mapping of ungauged rivers: Linking GIS techniques and frequency analysis. Journal of Hydrology, 458–459, 68–86. doi:10.1016/j.jhydrol.2012.06.039
   Web of Science ®Google Scholar
• Sevruk, B., Ondrás, M., & Chvíla, B. (2009). The WMO precipitation measurement intercomparisons. Atmospheric Research, 92(3), 376–380.10.1016/j.atmosres.2009.01.016
   Web of Science ®Google Scholar
• Smits, A. J. M., Nienhuis, P. H., & Leuven, R. S. E. W. (2000). New approaches to river management. Environmental Management and Health, 11(5), 474–475.10.1108/emh.2000.11.5.474.1
   Google Scholar
• Vicente-Serrano, S. M., & López-Moreno, J. I. (2005). Hydrological response to different time scales of climatological drought: An evaluation of the standardized precipitation index in a mountainous Mediterranean basin. Hydrology and Earth System Sciences, 9(5), 523–533.10.5194/hess-9-523-2005
   Web of Science ®Google Scholar
• Yang, Z., Wang, T., Voisin, N., & Copping, A. (2015). Estuarine response to river flow and sea-level rise under future climate change and human development. Estuarine, Coastal and Shelf Science, 156, 19–30.10.1016/j.ecss.2014.08.015
   Web of Science ®Google Scholar
• Zając, T., Solarz, W., & Bielański, W. (2006). Adaptive settlement in sedge warblers Acrocephalus schoenobaenus—focus on the scale of individuals. Acta Oecologica, 29(2), 123–134.10.1016/j.actao.2005.07.009
   Google Scholar
• Zelo, I., Shipman, H., & Brennan, J. (2000). Alternative bank protection methods for Puget Sound shorelines. Shorelands and Environmental Assistance Program, Washington Department of Ecology.
   Google Scholar
• Zhang, X., Zhang, L., Zhao, J., Rustomji, P., & Hairsine, P. (2008). Responses of streamflow to changes in climate and land use/cover in the Loess Plateau, China. Water Resources Research, 44(7), W00A07 (1–12). doi:10.1029/2007WR006711
   Google Scholar