Abstract
In the proposed work areas exposed to flood risk were evaluated in a particular context of karst ephemeral streams located in Puglia region (Southern Italy). The case study of Lama Balice, characterized by a natural geomorphologic structure, was tested for the application of a DTM-based approach, aimed to the rapid identification and mapping of flood risk. The inundated areas, obtained with a 2D hydraulic model, following design rainfall events characterized by different return periods, were used as reference maps for the selection of the most appropriate geomorphological descriptor exploiting the binary classifiers test. The performance of the adopted procedure was tested by validating the selected geomorphological descriptors on a different area with respect to that used for calibration, in order to estimate the discrepancy between DTM-based flood maps and those obtained by numerical simulation.
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References
Floods Directive 2007/60/EC on the assessment and management of flood risks entered into force on 26 November 2007
Feldman, A.D.: Hydrologic Engineering Center (U.S.), Hydrologic Modeling System HEC-HMS, US Army Corps of Engineers, Hydrologic Engineering Center (2000)
Rigon, R., Bertoldi, G., Over, T.M.: GEOtop: a distributed hydrological model with coupled water and energy budgets. J. Hydrom. 7, 371–388 (2006). https://doi.org/10.1175/JHM497.1
Fiorentino, M., Gioia, A., Iacobellis, V., Manfreda, S.: Analysis on flood generation processes by means of a continuous simulation model. Adv. Geosci. 7, 231–236 (2006). www.adv-geosci.net/7/231/2006/. https://doi.org/10.5194/adgeo-7-231-2006. ISSN 1680-7340
Merz, R., Blöschl, G.: Flood frequency hydrology: 1. Temporal, spatial, and causal expansion of information. Water Resour. Res. 44(8) (2008). http://dx.doi.org/101029/2007WR006744
Fiorentino, M., Gioia, A., Iacobellis, V., Manfreda, S.: Regional analysis of runoff thresholds behaviour in Southern Italy based on theoretically derived distributions. Adv. Geosci. 26, 139–144 (2011). www.adv-geosci.net/26/139/2011/. https://doi.org/10.5194/adgeo-26-139-2011. ISSN 1680-7340
Beven, K.: Rainfall-Runoff Modelling the Primer, 2nd edn. Wiley-Blackwell, Chichester (2012)
Gioia, A., Manfreda, S., Iacobellis, V., Fiorentino, M.: Performance of a theoretical model for the description of water balance and runoff dynamics in Southern Italy. J. Hydrol. Eng. 19(6), 1113–1123 (2014). https://doi.org/10.1061/(ASCE)HE.1943-5584.0000879
Di Modugno, M., Gioia, A., Gorgoglione, A., Iacobellis, V., la Forgia, G., Piccinni, A.F., Ranieri, E.: Build-Up/wash-off monitoring and assessment for sustainable management of first flush in an urban area. Sustainability 7, 5050–5070 (2015)
Gioia, A., Iacobellis, V., Manfreda, S., Fiorentino, M.: Comparison of different methods describing the peak runoff contributing areas during floods. Hydrol. Process. 31(11), 2041–2049 (2017)
Mizyed, N.R., Loftis, J.C., Fontane, D.G.: Operation of large multireservoirs ystemsu singo ptimal-controlt heory. J. Water Resour. Plan. Manag. 118(4), 371–387 (1992)
Crawley, P.D., Dandy, G.C.: Optimal operation of multiple reservoir system. J. Water Resour. Plan. Manag. 119(1), 1–17 (1993)
Oliveira, R., Loucks, D.P.: Operating rules for multireservoir systems. Water Resour. Res. 33(4), 839–852 (1997)
Gioia, A.: Reservoir routing on double-peak design flood. Water 8, 553 (2016)
Sordo-Ward, A., Gabriel-Martin, I., Bianucci, P., Garrote, L.: A parametric flood control method for dams with gate-controlled spillways. Water 9, 237 (2017). https://doi.org/10.3390/w904023
De Wrachien, D., Mambretti, S.: Mathematical models for flood hazard assessment. Int. J. Saf. Secur. Eng. 1(4), 353–362 (2011). https://doi.org/10.2495/SAFE-V1-N4-353-362
Iacobellis, V., Castorani, A., Di Santo, A.R., Gioia, A.: Rationale for flood prediction in karst endorheic areas. J. Arid Environ. 112(10), 98–108 (2015). https://doi.org/10.1016/j.jaridenv.2014.05.018
Bates, P., Anderson, M., Price, D., Hardy, R., Smith, C.: Analysis and development of hydraulic models for floodplain flows. In: Anderson, M.G., Walling, D.E., Bates, P.D. (eds.) Floodplain Processes. Wiley, New York (1996)
Aronica, G., Hankin, B., Beven, K.J.: Uncertainty and equifinality in calibrating distributed roughness coefficients in a flood propagation model with limited data. Adv. Water Resour. 22(4), 349–365 (1998)
Jain, S.K., Singh, R.D., Jain, M.K., Lohani, A.K.: Delineation of flood-prone areas using remote sensing techniques. Water Resour. Manag. 19, 333 (2005). https://doi.org/10.1007/s11269-005-3281-5
Fluet-Chouinard, E., Lehner, B., Rebelo, L.-M., Papa, F., Hamilton, S.K.: Development of a global inundation map at high spatial resolution from topographic downscaling of coarse-scale remote sensing data. Remote Sens. Environ. 158, 348–361 (2015)
Manfreda, S., Samela, C., Gioia, A., Consoli, G.G., Iacobellis, V., Giuzio, L., Cantisani, A., Sole, A.: Flood-prone areas assessment using linear binary classifiers based on flood maps obtained from 1D and 2D Hydraulic models. Nat. Hazards (2015). https://doi.org/10.1007/s11069-015-1869-5
Bates, P.D., Horritt, M.S., Smith, C.N., Mason, D.C.: Integrating remote sensing observations of flood hydrology and hydraulic modelling. Hydrol. Process. 11, 1777–1795 (1997)
Horritt, M.S., Mason, D.C., Luckman, A.J.: Flood boundary delineation from synthetic aperture radar imagery using a statistical active contour model. Int. J. Remote Sens. 22(13), 2489–2507 (2001)
Mattia, F., Satalino, G., Balenzano, A., D’Urso, G., Capodici, F., Iacobellis, V., Milella, P., Gioia, A., Rinaldi, M., Ruggieri, S., Dini, L.: Time series of COSMO-SkyMed data for landcover classification and surface parameter retrieval over agricultural sites. In: Proceedings of the IEEE 2012 International Geoscience and Remote Sensing Symposium, pp. 6511–6514 (2012). ISBN 978-1-4673-1159-5
Balenzano, A., Satalino, G., Belmonte, A., D’Urso, G., Capodici, F., Iacobellis, V., Gioia, A., Rinaldi, M., Ruggieri, S., Mattia, F.: On the use of multi-temporal series of COSMO-SkyMed data for landcover classification and surface parameter retrieval over agricultural sites. In: Proceedings of the 2011 IEEE International Geoscience and Remote Sensing Symposium, 24–29 July, Vancouver, Canada, pp. 142–145 (2011)
Balenzano, A., Satalino, G., Iacobellis, V., Gioia, A., Manfreda, S., Rinaldi, M., De Vita, P., Miglietta, F., Toscano, P., Annichiarico, G., Mattia, F.: A ground network for SAR-derived soil moisture product calibration, validation and exploitation in southern Italy. In: Proceedings of the IEEE 2014 International Geoscience and Remote Sensing Symposium, IGARSS 2014 (2014)
Tarantino, E., Novelli, A., Laterza, M., Gioia, A.: Testing high spatial resolution WorldView-2 imagery for retrieving the leaf area index. In: Proceedings of the SPIE 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015) (2015). https://doi.org/10.1117/12.2192561
Trombetta, A., Iacobellis, V., Tarantino, E., Gentile, F.: Calibration of the AquaCrop model for winter wheat using MODIS LAI images. Agric. Water Manag. 164(Part 2), 304–316 (2016)
Olang, L.O., Kundu, P., Bauer, T., Fürst, J.: Analysis of spatio-temporal land cover changes for hydrological impact assessment within the Nyando River Basin of Kenya. Environ. Monit. Assess. 179, 389–401 (2011)
Pattison, I., Lane, S.N.: The link between land-use management and fluvial flood risk: a chaotic conception? Prog. Phys. Geogr. 36, 72–92 (2011)
Balacco, G., Figorito, B., Tarantino, E., Gioia, A., Iacobellis, V.: Space-time LAI variability in Northern Puglia (Italy) from SPOT VGT data. Environ. Monit. Assess. 187, 434 (2015). https://doi.org/10.1007/s10661-015-4603-6
Caprioli, M., Tarantino, E.: Identification of land cover alterations in the Alta Murgia National Park (Italy) with VHR satellite imagery. Int. J. Sustain. Dev. Plan. 1(3), 261–270 (2006)
Crocetto, N., Tarantino, E.: A class-oriented strategy for features extraction from multidate ASTER imagery. Remote Sens. 1(4), 1171–1189 (2009)
Saradjian, M.R., Hosseini, M.: Soil moisture estimation by using multipolarization SAR image. Adv. Space Res. 48(2), 278–286 (2011)
Gioia, A., Iacobellis, V., Manfreda, S., Fiorentino, M.: Influence of infiltration and soil storage capacity on the skewness of the annual maximum flood peaks in a theoretically derived distribution. Hydrol. Earth Syst. Sci. 16, 937–951 (2012). https://doi.org/10.5194/hess-16-937-2012
Iacobellis, V., Gioia, A., Milella, P., Satalino, G., Balenzano, A., Mattia, F.: Inter-comparison of hydrological model simulations with time series of SAR-derived soil moisture maps. Eur. J. Remote Sens. 46(1), 739–757 (2013)
Nardi, F., Vivoni, E.R., Grimaldi, S.: Investigating a floodplain scaling relation using a hydrogeomorphic delineation method. Water Resour. Res. 42(9), W09409 (2006)
Marks, K., Bates, P.D.: Integration of high resolution topographic data with floodplain flow models. Hydrol. Process. 14, 2109–2122 (2000)
Dodov, B.A., Foufoula-Georgiou, E.: Floodplain morphometry extraction from a high-resolution digital elevation model: a simple algorithm for regional analysis studies. Geosci. Remote Sens. Lett. IEEE 3(3), 410–413 (2006). https://doi.org/10.1109/LGRS.2006.874161
De Giorgis, M., Gnecco, G., Gorni, S., Roth, G., Sanguineti, M., Taramasso, A.C.: Classifiers for the detection of flood-prone areas using remote sensed elevation data. J. Hydrol. 470–471, 302–315 (2012)
De Risi, R., Jalayer, F., De Paola, F., Giugni, M.: Probabilistic delineation of flood- -prone areas based on a digital elevation model and the extent of historical flooding: the case of Ouagadougou. Boletín Geológico Minero 125, 329–340 (2014)
Totaro, V., Gioia, A., Novelli, A., Caradonna, G.: The use of geomorphological descriptors and landsat-8 spectral indices data for flood areas evaluation: a case study of Lato river basin. In: Gervasi, O., et al. (eds.) ICCSA 2017. LNCS, vol. 10407, pp. 30–44. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-62401-3_3
Milone, F., Camarda, D.: Modeling knowledge in environmental analysis: a new approach to soundscape ecology. Sustainability 9, 564 (2017). https://doi.org/10.3390/su9040564
US Army Corps of Hydraulic Engineers: HEC-2 User’s Manual (1985). http://www.hec.usace.army.mil/publications/pubs_distrib/hec/hec2.htmlUSDA-SCS. National Engineering Handbook, Sec, 4 – Hydrology. Washington, D.C. (2001)
O’Brien, J.S., Julien, P.Y., Fullerton, W.T.: Two-dimensional water flood and mudflow simulation. J. Hydraul. Eng. 119(2), 244–261 (1993). https://doi.org/10.1061/(ASCE)0733-9429
USDA-SCS: National Engineering Handbook, Sec, 4 - Hydrology, Washington, D.C. (1985)
Claps, P., Copertino, V.A., Ermini, R., Fiorentino, M.: Analisi regionale dei massimi annuali delle precipitazioni di diversa durata. In: “Valutazione delle piene in Puglia” a cura di Copertino, V., Fiorentino, M., CNR-GNDCI, Potenza (1992). (in Italian)
Slatton, K.C., Carter, W.E., Shrestha, R.L., Dietrich, W.E.: Airborne laser swath mapping: achieving the resolution and accuracy required for geosurficial research. Geophys. Res. Lett. 34, L23S10 (2007). https://doi.org/10.1029/2007gl031939
Samela, C., Manfreda, S., Paola, F.D., Giugni, M., Sole, A., Fiorentino, M.: DEM- based approaches for the delineation of flood-prone areas in an ungauged basin in Africa. J. Hydrol. Eng. (2015). http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0001272
Samela, C., Troy, T.J., Manfreda, S.: Geomorphic classifiers for flood-prone areas delineation for data-scarce environments. Adv. Water Resour. 102, 13–28 (2017). https://doi.org/10.1016/j.advwatres.2017.01.007
Manfreda, S., Di Leo, M., Sole, A.: Detection of flood prone areas using digital elevation models. J. Hydrol. Eng. 16(10), 781–790 (2011). https://doi.org/10.1061/(ASCE)HE.1943-5584.0000367
Kirkby, M.J.: Hydrograph modelling strategies. In: Peel, R., Chisholm, R., Haggett, P. (eds.) Processes in Physical and Human Geography, pp. 69–90. Heinemann, Oxford (1975)
Hjerdt, K.N., McDonnell, J.J., Seibert, J., Rodhe, A.: A new topographic index to quantify downslope controls on local drainage. Water Resour. Res. 40, W05602 (2004)
Fawcett, T.: An introduction to ROC analysis. Pattern Recogn. Lett. 27, 861–874 (2006)
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Gioia, A., Totaro, V., Bonelli, R., Esposito, A.A.M.G., Balacco, G., Iacobellis, V. (2018). Flood Susceptibility Evaluation on Ephemeral Streams of Southern Italy: A Case Study of Lama Balice. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10964. Springer, Cham. https://doi.org/10.1007/978-3-319-95174-4_27
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