516 research outputs found

    Discharge assimilation in a distributed flood forecasting model

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    International audienceIn the field of operational flood forecasting, uncertainties linked to hydrological forecast are often crucial. In this work, data assimilation techniques are employed to improve hydrological variable estimates coming from numerical simulations using all the available real-time water level measurements. The proposed assimilation scheme, a classical Kalman filter extension to non-linear systems, is applied in a rainfall-runoff distributed model based on the SCS-CN approach. The complex hydrological system of the Toce river basin is studied, a mountainous catchment of about 1500 km2 in the Italian alps, through the development of a prototype available for operational use. For the considered flood event, the assimilation scheme is stable, even when available observations show gaps or outliers. It allows significant improvements in the simulation results, in particular when the focus is addressed to the peak

    Operational hydro-meteorological warning and real-time flood forecasting: the Piemonte Region case study

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    International audienceThe development and implementation of a real-time flood forecasting system in the context of the Piemonte Region's hydro-meteorological operational alert procedure is described. The area of interest is the Upper Po River basin (north-west Italy) of approximately 37000 km2 and its river network of about 3000 km and three big lakes. FloodWatch, a GIS-based decision support system for real-time flood forecasting, has been developed and used operationally at the Piemonte Region's Room for the Situation of Natural Hazards in Torino, Italy, since January 2000. The system is linked directly to the telemetric gauges system, uses daily quantitative precipitation and temperature forecasts issued by the Regional Meteorological Service and automatically supplies operational forecasts of water-level and discharge at about 30 locations for up to 48 hours. Strengths and limits of the system and its link with operational flood alert and management are discussed. The case study presented is the October 2000 flood event, when the north-west of Italy experienced one of the largest floods on record. Results highlight how the uncertainty linked to the use of meteorological forecasts greatly influences the quality of the hydrological forecasts. The proposed alert procedure, based on coded risk levels, can help effectively in facing forecast uncertainties

    The hydro-meteorological chain in Piemonte region, North Western Italy - analysis of the HYDROPTIMET test cases

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    International audienceThe HYDROPTIMET Project, Interreg IIIB EU program, is developed in the framework of the prediction and prevention of natural hazards related to severe hydro-meteorological events and aims to the optimisation of Hydro-Meteorological warning systems by the experimentation of new tools (such as numerical models) to be used operationally for risk assessment. The objects of the research are the mesoscale weather phenomena and the response of watersheds with size ranging from 102 to 103 km2. Non-hydrostatic meteorological models are used to catch such phenomena at a regional level focusing on the Quantitative Precipitation Forecast (QPF). Furthermore hydrological Quantitative Discharge Forecast (QDF) are performed by the simulation of run-off generation and flood propagation in the main rivers of the territory. In this way observed data and QPF are used, in a real-time configuration, for one-way forcing of the hydrological model that works operationally connected to the Piemonte Region Alert System. The main hydro-meteorological events that affected Piemonte Region in the last years are analysed, these are the HYDROPTIMET selected test cases of 14?18 November 2002 and 23?26 November 2002. The results obtained in terms of QPF and QDF offer a basis to evaluate the sensitivity of the whole hydro-meteorological chain to the uncertainties in the numerical simulations. Different configurations of non-hydrostatic meteorological models are also evaluated

    PURINE NUCLEOSIDE PHOSPHORYLASES AS BIOCATALYSTS AND PHARMACOLOGICAL TARGETS

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    A purine nucleoside phosphorylase from Aeromonas hydrophila (AhPNP) was successfully exploited to catalyze the \u201cone-pot, one-enzyme\u201d regio- and stereoselective transfer of \u3b2-D-ribose from a proper sugar donor (7-methylguanosine iodide) to a library of 6-substituted purine acceptors, resulting in the \u201cin batch\u201d synthesis of 24 ribonucleosides. Transglycosylation conversions confirmed the broad tolerance and the potential of AhPNP as biocatalyst, providing the necessary information to undertake the preparative synthesis of 6-modified purine nucleosides. [1] AhPNP was then immobilized in a stainless steel column resulting in a stable and active bioreactor (AhPNP-IMER, Immobilized Enzyme Reactor) that, upon on-line connection to a semi-preparative HPLC system, was used to run transglycosylations in a flow mode. In such a set-up, biotransformation, on-line monitoring and product purification occurred in a single integrated platform, thus allowing the preparation of five nucleoside analogues at a mg scale (52-89% yield). [2] As a step forward, a \u201cone-pot, two-enzyme\u201d strategy was applied by coupling AhPNP-IMER with an analogous bioreactor based on a uridine phosphorylase from Clostridium perfringens (CpUP), immobilized in a monolith column. The on-line apparatus obtained by connecting CpUP-IMER and AhPNP-IMER in series was tested in the synthesis of adenosine, 2\u2019-deoxyadenosine and arabinosyladenine from uridine, 2\u2019-deoxyuridine and arabinosyluracyl as sugar donors, respectively. The corresponding nucleobases were transformed into the products in 90-95% conversion over 1 h for the ribosyl and 2\u2019-deoxyribosyl derivatives, and 20% conversion after 5 h for arabinosyladenine. [3] Furthermore, a new LC-ESI-MS/MS method was set up to evaluate the inhibition activity of 8-substituted purine ribonucleosides toward the PNP from Mycobacterium tuberculosis (MtPNP), as well as the selectivity against the microbial enzyme with respect to the corresponding human one (HsPNP). The corresponding enzymatic assay, based on the phosphorolysis of inosine, proved to be very convenient in terms of time as well as of target amount. A small library of seven 8-substituted purine ribonucleosides were screened, not exerting any significant effect up to 1 mM, with 8-bromoguanosine and 8-methylaminoguanosine being the only exceptions at 500 mM as weak inhibitors. [4] Finally, the chemical synthesis of a series of 8- and N2-substituted inosinic and guanylic acids as potential ligands of the human GPR17 receptor was carried out, starting from studies aided by molecular modeling on a homology model of the target. The molecules were prepared by 5\u2019-phosphorylation of properly 8- and N2-modified/protected inosine or guanosine. Owing to the scarce nucleophilicity of the exocyclic NH2 group of guanosine, the 2-position of the purine ring was activated as a bromo derivative, whose displacement with the proper amine afforded the desired N2-alkylated products. On the contrary, N2-acylations were carried out through nitrogen functionalization with a proper acyl chloride or anhydride. An additional 2\u2019,3\u2019-O-isopropylidene group was inserted in all the N2-functionalized nucleotides. Binding assays on GPR17 will be carried out. [1] D. Ubiali, C. F. Morelli, M. Rabuffetti, G. Cattaneo, I. Serra, T. Bavaro, A. M. Albertini, G. Speranza Curr. Org. Chem. 2015, 19, 2220-2225; [2] E. Calleri, G. Cattaneo, M. Rabuffetti, I. Serra, T. Bavaro, G. Massolini, G. Speranza, D. Ubiali Adv. Synth. Catal. 2015, 357, 2520-2528; [3] G. Cattaneo, M. Rabuffetti, G. Speranza, T. Kupfer, B. Peters, G. Massolini, D. Ubiali, E. Calleri Submitted 2017; [4] G. Cattaneo, D. Ubiali, E. Calleri, M. Rabuffetti, G. C. Hofner, K. T. Wanner, M. C. De Moraes, L. K. B Martinelli, D. S. Santos, G. Speranza Anal. Chim. Acta 2016, 943, 89-97

    Building Fluorinated Hybrid Crystals: Understanding the Role of Noncovalent Interactions

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    Noncovalent interactions play a key role in functional materials. Metal-organofluorine interactions are of special interest because they directly affect the structure and reactivity of hybrid fluorinated materials. In-depth understanding and modulating of these interactions would enable the rational design of functional materials from fundamental chemical principles. In this work, we propose a computational approach that enables a comprehensive and quantitative characterization of noncovalent interactions (NCIs) in hybrid fluorinated crystals. Our approach couples dispersion-corrected density functional theory to NCI analysis. Additionally, we determine electron densities at bond critical points and identify electrostatic interactions using a simple electrostatic model. The versatility of this approach to probe a wide range of NCIs is demonstrated for a series of four bimetallic fluorinated crystals incorporating alkali-manganese(II) pairs and trifluoroacetato ligands. Noncovalent interactions in these hybrid crystals include metal-oxygen, metal-fluorine, hydrogen bonds, and van der Waals forces. Using K2Mn2(tfa)6(tfaH)2·H2O as an example, we demonstrate that its two-dimensional layered structure stems from a unique balance between these four NCIs. The computational approach presented herein should have general applicability to the quantitative study of NCIs in hybrid crystals, thereby serving as a guide for crystal engineering of novel hybrid materials

    Synthesis of γ-glutamyl derivatives of sulfur-containing amino acids in a multigram scale via a two-step, one-pot procedure

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    \u3b3-Glutamyl derivatives of sulfur amino acids have been prepared in multigram scale starting from readily available starting materials. The synthesis comprises two one-pot operations, both consisting of two reactions. In the first operation, N-phtaloyl-l-glutamic acid anhydride is obtained from l-glutamic acid and phtalic anhydride. In the second one, N-phtaloyl-l-glutamic acid anhydride is used to acylate amino acids and the N-phtaloyl protecting group is removed. The described approach offers a viable entry to \u3b3-glutamyl derivatives of sulfur-containing amino acids with flavor-enhancer and nutraceutical properties

    Operational flood-forecasting in the Piemonte region – development and verification of a fully distributed physically-oriented hydrological model

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    Abstract. A hydrological model for real time flood forecasting to Civil Protection services requires reliability and rapidity. At present, computational capabilities overcome the rapidity needs even when a fully distributed hydrological model is adopted for a large river catchment as the Upper Po river basin closed at Ponte Becca (nearly 40 000 km2). This approach allows simulating the whole domain and obtaining the responses of large as well as of medium and little sized sub-catchments. The FEST-WB hydrological model (Mancini, 1990; Montaldo et al., 2007; Rabuffetti et al., 2008) is implemented. The calibration and verification activities are based on more than 100 flood events, occurred along the main tributaries of the Po river in the period 2000–2003. More than 300 meteorological stations are used to obtain the forcing fields, 10 cross sections with continuous and reliable discharge time series are used for calibration while verification is performed on about 40 monitored cross sections. Furthermore meteorological forecasting models are used to force the hydrological model with Quantitative Precipitation Forecasts (QPFs) for 36 h horizon in "operational setting" experiments. Particular care is devoted to understanding how QPF affects the accuracy of the Quantitative Discharge Forecasts (QDFs) and to assessing the QDF uncertainty impact on the warning system reliability. Results are presented either in terms of QDF and of warning issues highlighting the importance of an "operational based" verification approach

    El camino de acceso a la información pública: ¿ley o cambio cultural?

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    Rabuffetti analiza la perspectiva canadiense y uruguaya en relación al acceso a la información pública. En Canadá existen leyes de acceso a la información pública, aunque en los hechos estas normas no son garantía. En Uruguay se discute la elaboración de una ley similar, en un contexto en el cual el secretismo de la información estatal está arraigado en la cultura

    Evaluation of the hydro-meteorological chain in Piemonte Region, north western Italy - analysis of two HYDROPTIMET test cases

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    International audienceThe HYDROPTIMET Project, Interreg IIIB EU program, is developed in the framework of the prediction and prevention of natural hazards related to severe hydro-meteorological events and aims to the optimisation of Hydro-Meteorological warning systems by the experimentation of new tools (such as numerical models) to be used operationally for risk assessment. The object of the research are the Mesoscale weather phenomena and the response of watersheds with size ranging from 102 to 103 km2. Non-hydrostatic meteorological models are used to catch such phenomena at a regional level focusing on the Quantitative Precipitation Forecast (QPF). Furthermore hydrological Quantitative Discharge Forecast (QDF) are performed by the simulation of run-off generation and flood propagation in the main rivers of the interested territory. In this way observed data and QPF are used, in a real-time configuration, for one-way forcing of the hydrological model that works operationally connected to the Piemonte Region Alert System. The main hydro-meteorological events that interested Piemonte Region in the last years are studied, these are the HYDROPTIMET selected test cases of 14-18 November 2002 and 23-26 November 2002. The results obtained in terms of QPF and QDF offer a sound basis to evaluate the sensitivity of the whole hydro-meteorological chain to the uncertainties in the numerical simulations. Different configurations of non-hydrostatic meteorological models are also analysed
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