F. Carisi, A. Domeneghetti, A. Castellarin
Transcription
F. Carisi, A. Domeneghetti, A. Castellarin
F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) ANTHROPOGENIC IMPACTS ON THE TERRITORY CLIMATE CHANGE HYDROLOGICAL PROCESSES EVOLUTION • Flood-risk evolution • Increasing of potential damages during extreme flood events F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) Human-induced land-subsidence due to the pumping of underground fluids in densely populated areas in the last half of the XX century Japan (Daito and Galloway, 2015) Thailand (Phien-wej et al., 2005) Mexico (Toscana and Campos, 2010) Bangladesh (Brown and Nicholls, 2015; Howladar and Hasan, 2014) • Rich literature on the effects of land-subsidence in coastal areas (salt-water intrusion, decrease of the coastal floods return period) • Poor literature on the dynamics of hydraulic risk in rivers flood-prone areas AIM OF THE STUDY: if and how much the human-induced land-subsidence can change the riverine potential flooding F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) • • • • • High population density Complex network of road infrastructures Montone River + natural streams with artificial embankment systems higher damages in case of extreme events or levee failure Land-subsidence rate: naturally in the order of a few mm/year Sudden land-subsidence acceleration after World War II due to an intense water and gas extraction from underground (Gambolati et al., 1991; Carminati et al., 2002) • > 1,5 m over an area of 10 km2 between the historical center and the coastline (Teatini et al., 2005) F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) Current topography: 5m Digital Elevation Model (DEM) Land-subsidence curves; Land-subsidence 5m DEM Back-warped DEM: 5m historical DEM describing ground elevations in 1897 F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) Modification of the major discontinuities elevation according to the real topography: • + 1 m for the main railways • - 1.5 m for the greater channels • • • • Scenario “Curr”: current morphology without infrastructures Scenario “Curr_Infr”: current morphology with main infrastructures Scenario “Past”: 1897 reconstructed morphology without infrastructures Scenario “Past_Infr”: 1897 reconstructed morphology with main infrastructures F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) Fully-2D hydrodynamic model TELEMAC-2D: • • Non-structured computational mesh of triangular elements Accurate reproduction of the real flooding dynamics, considering the main topographic discontinuities Input function: • • Time [s] Single breach in the left embankment of the Montone River Overflowing discharge calculated by referring to a quasi-2D model of the Montone-Ronco River system F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) Maximum water depth (h) for all time steps and for each scenario (“Curr”, “Curr_Infr”, “Past”, “Past_Infr”) Significantly flooded areas in different scenarios (water depths h ≥ 10 cm) F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) Scenario “Curr” vs “Past” • • Present scenario: urban area is mainly affected by flood-risk 1897: rural areas in the Eastern side are mostly impacted by inundation F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) FAI (Flood Area Index, see Falter et al., 2012) quantifies the agreement between flooded areas in different scenarios 𝑭𝑭𝑭𝑭𝑭𝑭 = 𝑨𝑨 𝑨𝑨 + 𝑩𝑩 + 𝑪𝑪 A = extent of the areas simulated as flooded in both scenarios B = extent of the area that results flooded only in Scenario 1 C = opposite of B, i.e. areas flooded only in Scenario 2 THE CLOSER TO ONE THE FAI COEFFICIENT, THE HIGHER THE SIMILARITY BETWEEN THE FLOODED AREAS ACCORDING TO THE TWO SCENARIOS F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) Scenario “Curr” vs “Past” Scenario “Curr” vs “Past” Influence of land-subsidence without infrastructures: FAI = 0.74 F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) Scenario A “Curr_Infr” “Past_Infr” (CM) vs Cvs (PM) Scenario “Curr” vs “Past” Influence of land-subsidence without infrastructures: FAI = 0.74 Scenario “Curr_Infr” vs “Past_Infr” Influence of land-subsidence with infrastructures: FAI = 0.83 F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) B (CM_I) (PM_I) Scenario A “Curr” vsvs “Curr_Infr” (CM) CD (PM) Scenario “Curr” vs “Past” Influence of land-subsidence without infrastructures: FAI = 0.74 Scenario “Curr_Infr” vs “Past_Infr” Influence of land-subsidence with infrastructures: FAI = 0.83 Scenario “Curr” vs “Curr_Infr” Influence of the main infrastructure on the current topography: • No significant alterations to flood dynamics caused by land-subsidence • FAI = 0.52 Higher impact on flood-hazard caused by the construction of canals and road and railways embankments F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) 1 Scenario 2 Scenario 2 – Scenario 1 The flatter the lines around Δh=0, the higher the similarity of the two compared scenarios Non-significant Δh (lower than ±10 cm) F = exceedance probability of a certain Δh F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) Reference scenario: Scenario “Curr_Infr” (situation closer to reality: current DEM and schematization of major infrastructures). Scenario “Curr_Infr”-“Past_Infr” Scenario “Curr_Infr”-“Curr” Scenario “Curr_Infr”-“Past” Effect of land-subsidence only - Significant Δh: 11% Effect of infrastructures only - Significant Δh: 61% Effect of land-subsidence and infrastructures Significant Δh: 82% • Land-subsidence: high similarity between h in 1897’s and in the current DEM • • Most different scenarios: “Curr_Infr” and “Past” Very similar F values between Scenarios “Curr_Infr”-”Past” and Scenarios “Curr_Infr”-”Curr” F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected]) Effects of anthropogenic land-subsidence on river flood hazard: • Negative consequences on urban area mainly in current morphological configuration • Rural areas in the Eastern side mostly impacted by inundation in 1897 • Large and rapid differential ground lowering does not seem to lead significant alterations to the flooding hazard Comparison between the effect of land-subsidence and the influence of major discontinuities: • Main infrastructures have a higher impact on flood hazard than the anthropogenic ground lowering F. Carisi, A. Domeneghetti, A. Castellarin - DICAM, University of Bologna, Italy ([email protected])