scholarly journals Liquefaction susceptibility assessment in fluvial plains using high-resolution airborne LiDAR data: the case of the 2012 Emilia earthquake sequence area (Italy)

2015 ◽  
Vol 3 (7) ◽  
pp. 4527-4553 ◽  
Author(s):  
R. Civico ◽  
C. A. Brunori ◽  
P. M. De Martini ◽  
S. Pucci ◽  
F. R. Cinti ◽  
...  
Keyword(s):  
Land Use Planning ◽  
Digital Terrain Model ◽  
Airborne Lidar ◽  
Lidar Data ◽  
Susceptibility Assessment ◽  
Po River ◽  
Liquefaction Susceptibility ◽  
Geotechnical Investigations ◽  
River Plain ◽  
Po River Plain

Abstract. We report a case study from the Po River plain region (northern Italy), where a significant liquefaction-related land and property damage occurred during the 2012 Emilia seismic sequence. We took advantage of a 1 m pixel LiDAR Digital Terrain Model (DTM) and of the 2012 Emilia coseismic liquefaction dataset to: (a) perform a detailed geomorphological study of the Po River plain area, (b) quantitatively define the liquefaction susceptibility of the geomorphologic features that experienced different frequency of liquefaction. One main finding is that linear topographic highs of fluvial origin, together with crevasse splays and abandoned riverbeds, acted as preferential location for the occurrence of liquefaction phenomena. Moreover, we quantitatively defined a hierarchy in terms of liquefaction susceptibility for fluvial environments. We observed that a very high liquefaction susceptibility is found in coincidence with fluvial landforms, a high-to-moderate liquefaction susceptibility within a buffer distance of 100 and 200 m from mapped fluvial landforms and a low liquefaction susceptibility outside fluvial landforms and relative buffer areas. LiDAR data allowed a significant improvement in mapping with respect to conventional available topographic data and/or aerial imagery. These results have significant implications for accurate hazard and risk assessment as well as for land-use planning. We propose a potentially simpler approach for liquefaction susceptibility assessment with respect to in situ geotechnical investigations. Our findings can be applied to areas beyond Emilia, characterized by similar fluvial-dominated environments and prone to significant seismic hazard.

scholarly journals Liquefaction susceptibility assessment in fluvial plains using airborne lidar: the case of the 2012 Emilia earthquake sequence area (Italy)

2015 ◽  
Vol 15 (11) ◽  
pp. 2473-2483 ◽  
Author(s):  
R. Civico ◽  
C. A. Brunori ◽  
P. M. De Martini ◽  
S. Pucci ◽  
F. R. Cinti ◽  
...  
Keyword(s):  
Land Use Planning ◽  
Land Reclamation ◽  
Digital Terrain Model ◽  
Airborne Lidar ◽  
Po River ◽  
Data Set ◽  
Plain Area ◽  
Liquefaction Susceptibility ◽  
River Plain ◽  
Po River Plain

Abstract. We report a case study from the Po River plain region (northern Italy), where significant liquefaction-related land and property damage occurred during the 2012 Emilia seismic sequence. We took advantage of a 1 m pixel lidar digital terrain model (DTM) and of the 2012 Emilia coseismic liquefaction data set to (a) perform a detailed geomorphological study of the Po River plain area and (b) quantitatively define the liquefaction susceptibility of the geomorphologic features that experienced different abundance of liquefaction. One main finding is that linear topographic highs of fluvial origin – together with crevasse splays, abandoned riverbeds and very young land reclamation areas – acted as a preferential location for the occurrence of liquefaction phenomena. Moreover, we quantitatively defined a hierarchy in terms of liquefaction susceptibility for an ideal fluvial environment. We observed that a very high liquefaction susceptibility is found in coincidence with fluvial landforms, a high-to-moderate liquefaction susceptibility within a buffer distance of 100 and 200 m from mapped fluvial landforms and a low liquefaction susceptibility outside fluvial landforms and relative buffer areas. Lidar data allowed a significant improvement in mapping with respect to conventionally available topographic data and/or aerial imagery. These results have significant implications for accurate hazard and risk assessment as well as for land-use planning. We propose a simple geomorphological approach for liquefaction susceptibility estimation. Our findings can be applied to areas beyond Emilia that are characterized by similar fluvial-dominated environments and prone to significant seismic hazard.

Comparing different FAO approaches for assessing irrigation needs and scheduling: application on a maize field in Mediterranean area

2021 ◽  
Author(s):  
Daniele Masseroni ◽  
Fabiola Gangi ◽  
Alessandro Castagna ◽  
Claudio Gandolfi
Keyword(s):  
Sandy Loam ◽  
Irrigation Management ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Actual Evapotranspiration ◽  
Crop Water ◽  
Po River ◽  
Aquacrop Model ◽  
River Plain ◽  
Po River Plain

<p>Selecting the best irrigation management is required for improved use of water resources and for achieving sustainable crop productions. That selection implies accurate predictions of crop water requirement in response to meteorological variables and phenological stages. A plethora of irrigation models are reported to date in literature, many of which are based on three different approaches proposed by the FAO organization, the single and double crop coefficient methods and, the canopy-cover curve determination included in the AquaCrop model.</p><p>The objective of this study is to compare irrigation needs and scheduling obtained by the three aforementioned approaches in the agricultural context of the Po River Plain (northern Italy). The first and the second approaches were simulated respectively by Sim1Kc and IdrAgra models, which implemented the algorithms and crop parameterizations reported in FAO paper 56 for a crop water requirement estimation. While the third approach was simulated by the open source version of AquaCrop software.</p><p>Models were tested on a maize plot located in the lower-east part of Lombardy Po River Plain characterized by a humid sub-tropical climate, according Köppen classification. A single sandy-loam layer profile of medium-textured soil 1 m deep was considered for the simulation. Crop parameters values in Sim1Kc and AcquaCrop models were mutuated from the IdrAgra model, which is routinely applied in the region as the reference model for the assessment of crop water requirements.</p><p>Actual evapotranspiration and irrigation needs were evaluated respectively in rainfed and irrigated simulations. These latter were performed replacing soil moisture at the field capacity when 70% of TAW was reached. Results achieved in three agrarian seasons characterized by low, medium and high rainfall volumes (from June to September) were compared (respectively the years 2009, 2002 and 2014 with about 41 mm, 116 mm and 152 mm of rainfall).</p><p>The results show that in rainfed conditions, for each year, actual evapotranspiration simulated by the models were consistent with each other, with an average RMSE, calculated comparing the models in pairs, of about 1 mm over the season. Differences among the models were mainly observed in the first part of the season (respectively before the thirtieth day after the sowing) and for each year, probably caused by a still limited crop and root development, which highlights the differences in simulating water fluxes exchanges in soil-vegetation domain proposed by three modeling approaches.</p><p>Concerning irrigations, IdrAgra and AquaCrop appear very consistent with each other in volumes and frequency, especially during mid-crop stages and in all years with a total irrigation volume of about 400, 300 and 180 mm and with 10, 12 and 8 irrigation interventions respectively in the years 2009, 2002 and 2014. Results of Sim1Kc were consistent with those obtained by the other models only in mid and end crop season, whereas no irrigations were suggested in the first part of the season.</p>

Greenhouse gases (CO2, CH4and N2O) in lowland springs within an agricultural impacted watershed (Po River Plain, northern Italy)

2011 ◽  
Vol 27 (2) ◽  
pp. 177-187 ◽  
Author(s):  
Alex Laini ◽  
Marco Bartoli ◽  
Simona Castaldi ◽  
Pierluigi Viaroli ◽  
Ettore Capri ◽  
...  
Keyword(s):  
Greenhouse Gases ◽  
Northern Italy ◽  
Po River ◽  
River Plain ◽  
Po River Plain

scholarly journals ROAD NETWORK MAPPING USING AIRBORNE LiDAR DATA

2018 ◽  
Vol XLII-5 ◽  
pp. 707-711 ◽  
Author(s):  
S. Upadhayay ◽  
M. Yadav ◽  
D. P. Singh
Keyword(s):  
Road Network ◽  
Spatial Databases ◽  
Digital Terrain Model ◽  
Airborne Lidar ◽  
Surface Model ◽  
Lidar Data ◽  
Classification Approach ◽  
Modified Maximum Likelihood ◽  
Road Network Extraction ◽  
Airborne Lidar Data

<p><strong>Abstract.</strong> The accurate, detailed and up-to-date road information is highly essential geo-spatial databases for transportation, smart city and other related applications. Thus, the main objective of this research is to develop an efficient algorithm for road network extraction from airborne LiDAR data using supervised classification approach. The proposed algorithm first classifies the input data into the road and non-road features using modified maximum likelihood classification approach. Then Digital Terrain Model (DTM) mask is generated by removing non-ground features from Digital Surface Model using hierarchical morphology and road candidate image if obtained. The parking lots are removed and road network is extracted successfully.</p>

scholarly journals ACCURACY ASSESSMENT OF LIDAR-DERIVED DIGITAL TERRAIN MODEL (DTM) WITH DIFFERENT SLOPE AND CANOPY COVER IN TROPICAL FOREST REGION

2015 ◽  
Vol II-2/W2 ◽  
pp. 183-189 ◽  
Author(s):  
M. R. M. Salleh ◽  
Z. Ismail ◽  
M. Z. A. Rahman
Keyword(s):  
Tropical Forest ◽  
Digital Terrain Model ◽  
Canopy Cover ◽  
Airborne Lidar ◽  
Lidar Data ◽  
Terrain Model ◽  
Digital Terrain ◽  
Terrain Slope ◽  
Airborne Lidar Data

Airborne Light Detection and Ranging (LiDAR) technology has been widely used recent years especially in generating high accuracy of Digital Terrain Model (DTM). High density and good quality of airborne LiDAR data promises a high quality of DTM. This study focussing on the analysing the error associated with the density of vegetation cover (canopy cover) and terrain slope in a LiDAR derived-DTM value in a tropical forest environment in Bentong, State of Pahang, Malaysia. Airborne LiDAR data were collected can be consider as low density captured by Reigl system mounted on an aircraft. The ground filtering procedure use adaptive triangulation irregular network (ATIN) algorithm technique in producing ground points. Next, the ground control points (GCPs) used in generating the reference DTM and these DTM was used for slope classification and the point clouds belong to non-ground are then used in determining the relative percentage of canopy cover. The results show that terrain slope has high correlation for both study area (0.993 and 0.870) with the RMSE of the LiDAR-derived DTM. This is similar to canopy cover where high value of correlation (0.989 and 0.924) obtained. This indicates that the accuracy of airborne LiDAR-derived DTM is significantly affected by terrain slope and canopy caver of study area.

Essai sur la paleogeographie post-triasique et l'evolution secondaire et tertiaire du versant sud des Alpes orientales (Alpes meridionales; Lombardie et Venetie, Italie; Slovenie occidentale, Yougoslavie)

1963 ◽  
Vol S7-V (5) ◽  
pp. 730-766 ◽  
Author(s):  
Jean Aubouin
Keyword(s):  
Eastern Alps ◽  
Western Alps ◽  
Southern Alps ◽  
Quaternary Deposits ◽  
Po River ◽  
Structural Patterns ◽  
Transition Zones ◽  
River Plain ◽  
Po River Plain

Abstract The southern Alps are divided into five distinct zones formed during the geosynclinal stage: the Lombardian depression, the Tridentine ridge, the Belluno depression, the Friuli ridge, and the Julian depression. Transition zones can be defined between the units. Late geosynclinal deposition (Miocene) is best represented in the Friuli ridge zone. Post-geosynclinal deposition corresponding to Pliocene-Quaternary deposits is equivalent to that of the Po river plain. Geosynclinal and late geosynclinal evolution was marked by folding perpendicular to earlier tectonic trends. Post-geosynclinal folding (Pontian to Pliocene) was oblique or perpendicular to the preceding structural patterns. A correlation is made between the southern Alps and the Italian Dinaric Alps north of Lombardy and Venice; the geosynclinal deposits are correlated with the Dinaric molasse sequence; and post-geosynclinal events are related to the Po plains. It is believed that the eastern Alps are the 'true' Alps whereas the western Alps are a part of the Italian Dinaric Alps.

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