On identifiability for chemical systems from measurable variables

The final publication is available at Springer via http://dx.doi.org/10.1007/s10910-013-0149-4The dynamics of the composition of chemical species in reacting systems can be characterized by a set of autonomous differential equations derived from mass conservation principles and some elementary hypothesis related to chemical reactivity. These sets of ordinary differential equations are basically non-linear, their complexity grows as much increases the number of substances present in the reacting media an can be characterized by a set of phenomenological constants which contains all the relevant information about the physical system. The determination of these kinetic constants is critical for the design or control of chemical systems from a technological point of view but the non-linear nature of the equations implies that there are hidden correlations between the parameters which maybe can be revealed with a identifiability analysis.This work has been partially supported by MTM2010-18228.Cantó Colomina, B.; Coll, C.; Sánchez, E.; Cardona Navarrete, SC.; Navarro-Laboulais, J. (2014). On identifiability for chemical systems from measurable variables. Journal of Mathematical Chemistry. 52(4):1023-1035. https://doi.org/10.1007/s10910-013-0149-4S10231035524M.J. Almendral, A. Alonso, M.S. Fuentes, Development of new methodologies for on-line determination of the bromate. J. Environ. Monit. 11, 1381–1388 (2009)A. Ben-Zvi, P.J. McLellan, K.B. McAuley, Identifiability of linear time-invariant differential-algebraic systems. I. The generalized Markov parameter approach. Ind. Eng. Chem. Res. 42, 6607–6618 (2003)T.P. Bonacquisti, A drinking water utility’s perspective on bromide, bromate, and ozonation. Toxicology 221, 145–148 (2006)R. Butler, A. Godley, L. Lytton, E. Cartmell, Bromate environmental contamination: review of impact and possible treatment. Crit. Rev. Environ. Sci. Tech. 35, 193–217 (2005)R. Butler, L. Lytton, A.R. Godley, I.E. Tothill, E. Cartmell, Bromate analysis in groundwater and wastewater samples. J. Environ. Monit. 7, 999–1006 (2005)B. Cantó, S.C. Cardona, C. Coll, J. Navarro-Laboulais, E. Sánchez, Dynamic optimization of a gas-liquid reactor. J. Math. Chem. 50, 381–393 (2012)B. Cantó, C. Coll and E. Sánchez, Identifiability of a class of discretized linear partial differential algebraic equations, Math. Problems Eng. 2011, 1–12 (2011)A. Constantinides, N. Mostoufi, Numerical Methods for Chemical Engineers with MATLAB Applications, Alkis Constantinides and Navid Mostoufi, Upper Saddle River (Prentice Hall, New Jersey, 1999)P. Englezos, N. Kalogerakis, Applied Parameter Estimation for Chemical Engineers (Marcel Dekker, New York, 2001)U. von Gunten, Ozonation of drinking water. Part II. Disinfection and by-product formation in presence of bromide, iodide or chlorine. Water Res. 37, 1469–1487 (2003)B. Legube, B. Parinet, K. Gelinet, F. Berne, J-Ph Croue, Modeling of bromate formation by ozonation of surface waters in drinking water treatment. Water Res. 38, 2185–2195 (2004)Q. Liu, L.M. Schurter, C.E. Muller, S. Aloisio, J.S. Francisco, D.W. Margerum, Kinetics and mechanisms of aqueous ozone reactions with bromide, sulfite, hydrogen sulfite, iodide, and nitrite ions. Inorg. Chem. 40, 4436–4442 (2001)J.B. Rawling, J.G. Ekerdt, Chemical Reactor Analysis and Design Fundamentals (Nob Hill Pub, Madison, 2002)W.E. Stewart, M. Caracotsios, Computer Aided Modelling of Reactive Systems (John Wiley and Sons, New York, 2008)P. Westerhoff, R. Song, G. Amy, R. Minear, Numerical kinetic models for bromide oxidation to bromine and bromate. Water Res. 32, 1687–1699 (1998)World Health Organization, Bromate in Drinking-water, Document WHO/SDE/WSH/05.08/78, http://www.who.int/water_sanitation_health/dwq/chemicals/en/ (accesed 26/07/12

A NEW COLLECTION OF HAWORTHIA AT THE BOTANICAL GARDEN MUSEUM OF ROME: MORPHOLOGY AND EX-SITU CONSERVATION

Viene presentata la nuova collezione dedicata al genere Haworthia, presso la "Serra Francese" dell'Orto Botanico di Roma. Tutte le specie coltivate sono caratterizzate da uno specifico "Field Number" che ne consente la tracciabilità, ovvero l'area geografica di provenienza ed altre caratteristiche ecologiche legate al luogo di origine

Il Giardino Botanico Sperimentale del Dipartimento di Biologia Vegetale nella Città Universitaria

Viene riportata la lista delle entità vascolari presenti nel Giardino Botanico Sperimentale della Città Universitaria (Università Sapienza), dopo una breve trattazione sul valore storico ed architettonico del Giardino stesso. Si riporta la planimetria dei 12 settori in cui il Giardino è suddiviso, con l'ubicazione delle singole entità

Sharing Italian Botanic Gardens\u2019 living collections: The role of the National Biodiversity Network

This paper presents the role of the Italian National Biodiversity Network in making available biodiversity data from Italian Botanic Gardens at a national and international level. The case study of the Botanic Garden of Rome is presented explaining procedures and methods for collecting georeferenced data on living plant species and making them available through web-based applications

A canopy layer model and its application to Rome

An urban canopy layer model based on four energy balance equations at ground level and at building level was developed to simulate and describe the urban climate and the heat storage in an urban setting. Thermal and radiative characteristics of urban and rural surfaces as well as atmospheric parameters related to the general synoptic conditions were used as data input. In addition, buildings were modelled as parallelepipeds and the hysteresis of materials was taken into account. The model provides as output skin temperature of buildings, air temperature and humidity within the canopy layer and hence the mean surface temperature and the air temperature at 2 m above surface. The latter parameter was used for the comparison with in situ temperature observations. The model was applied to Rome in radiative summer and winter episodes. The results, which agree with observations, show that the Urban Heat Island (UHI) is a nocturnal phenomenon, present both in winter (the greatest difference between urban and rural temperatures is about 2 degrees C and summer (the temperature difference is about 5 degrees C), mainly resulting from the urban geometry and the thermal properties of materials. The anthropogenic heat does not play an important role in the UHI development. A monthly nocturnal behaviour of temperature differences between urban and surrounding rural areas shows that the maximum mean value of 4.2 degrees C occurs in August. Moreover, the parks in the city centre, where temperatures are lower, define two distinct heat islands, east and west. (c) 2005 Elsevier B.V All rights reserved