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1.
J Environ Manage ; 322: 116046, 2022 Nov 15.
Article in English | MEDLINE | ID: mdl-36081260

ABSTRACT

The role of vegetation in supporting life on Earth is widely known. Nevertheless, the relevance of riparian corridors has been overlooked for a long time, leading to a dramatic reduction of vegetated buffers alongside them. Vegetation monitoring systems, including those for biomass estimation, are required to manage riparian corridors properly. Field surveys may support monitoring, but their usefulness is reduced by numerous drawbacks, therefore needing coupling with other data sources. The present work shows how Light Detection And Ranging (LiDAR) datasets can integrate targeted field measurements to estimate above-ground biomass at temperate or boreal latitudes and generate accurate biomass maps over large areas. By referring to the case study of the Orco river (northwest Italy), we defined a technique to reconstruct the geometry of an individual shrub from LiDAR point clouds. We tested the technique by comparing field measurements with Terrestrial and Airborne Laser Scanner data (TLS and ALS, respectively), assessing the former's superiority but the broader range of applicability of the latter. After these preliminary tests, we coupled the presented technique with a literature algorithm for individual tree detection, providing a more generalized procedure for the overall mapping and budgeting of riparian biomass based on ALS data. We applied the procedure to a fluvial bar of the Orco river, achieving a quantitative assessment of the shrub and tree biomass budget for 2019 and 2021 and visualizing the changes that occurred in that period. These results allowed us to shed light on the prevailing natural and anthropogenic processes in the investigated area and provide insights into the strengths and weaknesses of the proposed procedure.


Subject(s)
Soil Pollutants , Water Pollutants, Chemical , Agriculture , Biomass , Trees
2.
J Adv Model Earth Syst ; 12(8): e2020MS002094, 2020 Aug.
Article in English | MEDLINE | ID: mdl-32999706

ABSTRACT

Riparian environments are highly dynamic ecosystems that support biodiversity and numerous services and that are conditioned by anthropogenic activities and climate change. In this work, we propose an integrated methodology that combines different research approaches-field studies and numerical and analytical modeling-in order to calibrate an ecohydrological stochastic model for riparian vegetation. The model yields vegetation biomass statistics and requires hydrological, topographical, and biological data as input. The biological parameters, namely, the carrying capacity and the flood-related decay rate, are the target of the calibration as they are related to intrinsic features of vegetation and site-specific environmental conditions. The calibration is here performed for two bars located within the riparian zone of the Cinca River (Spain). According to our results, the flood-related decay rate has a spatial dependence that reflects the zonation of different plant species over the study site. The carrying capacity depends on the depth of the phreatic surface, and it is adequately described by a right-skewed curve. The calibrated model well reproduces the actual biogeography of the Cinca riparian zone. The overall percentage absolute difference between the real and the computed biomass amounts to 9.3% and 3.3% for the two bars. The model is further used to predict the future evolution of riparian vegetation in a climate-change scenario. The results show that the change of hydrological regime forecast by future climate projections may induce dramatic reduction of vegetation biomass and strongly modify the Cinca riparian biogeography.

3.
Article in English | MEDLINE | ID: mdl-26460925

ABSTRACT

Atrial fibrillation (AF) consequences on the heart valve dynamics are usually studied along with a valvular disfunction or disease, since in medical monitoring, the two pathologies are often concomitant. Aim of the present work is to study, through a stochastic lumped-parameter approach, the basic fluid dynamics variations of heart valves, when only paroxysmal AF is present with respect to the normal sinus rhythm in absence of any valvular pathology. Among the most common parameters interpreting the valvular function, the most useful turns out to be the regurgitant volume. During AF, both atrial valves do not seem to worsen their performance, while the ventricular efficiency is remarkably reduced.


Subject(s)
Atrial Fibrillation/physiopathology , Heart Atria/physiopathology , Heart Valves/physiology , Hydrodynamics , Models, Cardiovascular , Coronary Sinus/physiopathology , Humans
4.
Proc Math Phys Eng Sci ; 471(2176): 20150031, 2015 Apr 08.
Article in English | MEDLINE | ID: mdl-27547086

ABSTRACT

Precipitation of calcium carbonate from water films generates fascinating calcite morphologies that have attracted scientific interest over past centuries. Nowadays, speleothems are no longer known only for their beauty but they are also recognized to be precious records of past climatic conditions, and research aims to unveil and understand the mechanisms responsible for their morphological evolution. In this paper, we focus on crenulations, a widely observed ripple-like instability of the the calcite-water interface that develops orthogonally to the film flow. We expand a previous work providing new insights about the chemical and physical mechanisms that drive the formation of crenulations. In particular, we demonstrate the marginal role played by carbon dioxide transport in generating crenulation patterns, which are indeed induced by the hydrodynamic response of the free surface of the water film. Furthermore, we investigate the role of different environmental parameters, such as temperature, concentration of dissolved ions and wall slope. We also assess the convective/absolute nature of the crenulation instability. Finally, the possibility of using crenulation wavelength as a proxy of past flows is briefly discussed from a theoretical point of view.

5.
Phys Rev E Stat Nonlin Soft Matter Phys ; 80(3 Pt 2): 036312, 2009 Sep.
Article in English | MEDLINE | ID: mdl-19905217

ABSTRACT

In recent years non-normality and transient growths have attracted much interest in fluid mechanics. Here, we investigate these topics with reference to the problem of interfacial instability in superposed Newtonian and non-Newtonian fluid layers. Under the hypothesis of the lubrication theory, we demonstrate the existence of significant transient growths in the parameter space region where the dynamical system is asymptotically stable, and show how they depend on the main physical parameters. In particular, the key role of the density ratio is highlighted.


Subject(s)
Models, Theoretical , Nonlinear Dynamics , Rheology/methods , Solutions/chemistry , Computer Simulation
6.
Gynecol Obstet Invest ; 66(2): 91-7, 2008.
Article in English | MEDLINE | ID: mdl-18437028

ABSTRACT

BACKGROUND/AIMS: Extreme preterm birth, <28 weeks of gestation, represents a public health concern with major economic implications, being the leading cause of neonatal mortality and morbidity. METHODS: A single-centre retrospective cohort study was carried out to assess the role of caesarean section and to identify perinatal factors affecting neonatal survival and psychomotor development in these infants. 57 cases with complete maternal, obstetrical and neonatological information were selected for this study and neurological development was assessed for at least 18 months of life. RESULTS: Infant survival and neurological morbidity rates were directly and inversely correlated to birth weights and gestational age at birth, respectively. In multivariate analysis only extreme prematurity (

Subject(s)
Infant, Extremely Low Birth Weight , Psychomotor Disorders/etiology , Adult , Birth Weight , Cohort Studies , Delivery, Obstetric/methods , Female , Gestational Age , Humans , Infant, Newborn , Infant, Premature , Male , Pregnancy , Retrospective Studies , Survival Analysis
7.
Article in English | MEDLINE | ID: mdl-18263249

ABSTRACT

The authors present a new method for performing statistical characterization of underwater surfaces by acoustic remote sensing. A wideband technique is outlined that, by exploiting stereoscopic observation, estimates the roughness height of underwater surfaces however oriented with respect to the instrument. The surface is ensonified by a wideband signal and simultaneously viewed from two or more slightly different directions of view. The corresponding echoes are compared in the frequency domain, and a roughness estimate is obtained. Once the instrument centerband frequency has been fixed, the scale factor in the estimation can be adjusted by varying the differences between the view directions. This permits a wide estimation interval, ranging from a small fraction to many times the wavelength corresponding to the centerband frequency. Preliminary experiments have been carried out in a water tank, and the estimated roughness values are in agreement with the theory.

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