Estudios de eficiencia en el uso de la luz y estimaciones de biomasa en cultivos energéticos de Salix sp. en Central New York, USA

La productividad es un factor importante que influye en la viabilidad económica de un cultivo energético de sauce y maximizarla se convierte en un tema primordial. Esta investigación está directamente relacionada con dicha característica. La productividad varía según los clones cultivados, que pueden ser mejorados y seleccionados genéticamente. Los programas genéticos requieren de una información previa (productividad media en función del porte y número de los tallos, características de las hojas, resistencia a las plagas, etc.) que ayudará a obtener clones más productivos y resistentes. Por ello, nuestra investigación consta de dos estudios: (1) Evaluación de la eficiencia del uso de la luz o LUE (Light Use Efficiency). El incremento de biomasa y la eficiencia del uso de la luz (LUE) fue estudiado en 15 clones del genero Salix durante los meses de junio a septiembre de 2011 en Belleville (Central New York, USA). Los objetivos de este estudio fueron: (1) Evaluar la eficiencia del uso de la luz en la explicación a la variación en la producción de biomasa y (2) Determinar si existen diferencias significativas entre clones evaluando el índice de área foliar (LAI) y algunos componentes de las hojas (N, P, K,…). Se concluye que la variación de biomasa está relacionada con la cantidad de luz interceptada y con la eficiencia de su uso. Dicha información debe de ser transferida para ayudar a mejorar genéticamente los futuros clones a comercializar, con el fin de maximizar la productividad y aumentar la resistencia a plagas. (2) Estimación de biomasa a través de modelos de regresión. Los estudios de investigación relacionados con la productividad requieren estimaciones no destructivas de la biomasa aérea. Sin embargo, el nivel de precisión requerido y la inversión de tiempo son excesivos para operaciones comerciales con grandes extensiones (plantaciones de 10.000 ha). Por esta razón, se estudia el nivel de especificidad (específico, intermedio y general) en la toma de datos de campo sobre los mismos 15 clones (12 de ellos se pueden agrupar en 5 grupos según su genotipo origen) del genero Salix, empleados en el estudio anterior. Para todos los niveles estudiados se observaron diferencias significativas. Pero desde nuestro punto de vista, las diferencias obtenidas no son relevantes. Para validar los modelos finalmente seleccionados se calcularon los porcentajes de error entre la biomasa estimada por los modelos de regresión calculados y la biomasa real obtenida tras los pesajes de biomasa, todo ello se realizó para cada clon según nivel de especificidad. ABSTRACT Productivity is an important factor in the economic viability of a willow crop´s, therefore, maximize it becomes a major factor. This study is directly related to this feature. Productivity, among other factors, may vary depending on different clones, which can be improved and selected genetically. Genetic programs require prior information (average productivity, size and number of stems, leaf characteristics, resistance to pests, etc.) to help you get more productive clones resistant to local pests. Our research consists of two studies: (1) Evaluation of the efficiency of use of light (LUE, Light Use Efficiency). The increase of biomass and light use efficiency (LUE) was tested on 15 clones of the genus Salix during June and September 2011 in Belleville (Central New York, USA). The objectives of this study were: (1) evaluate the light use efficiency and its relationship with the variation in biomass production and (2) determine whether there are significant differences between clones evaluating the leaf area index (LAI) and some traits of the leaves (N, P, K). We studied the correlation with the light use efficiency. It is concluded that the variation of biomass was related to the amount of light intercepted and its efficiency. Such information must be transferred to help improve future genetically clones to market in order to maximize productivity and increase resistance to pests. (2) Estimation of biomass through regression models. Research studies related to productivity estimates require precision and non destructive biomass. However, the level of accuracy required and the investment of time are excessive for large commercial operations with extensions (plantations of 10,000 ha). Precisely for this reason, we study the level of specificity (specific, intermediate and general) in making field data on the same 15 clones (12 of them can be grouped into five groups according to their genotype origin) of the genus Salix, employees in the previous study. For all levels studied some significant differences were observed. But from our practical standpoint, the differences are not relevant. Finally, to validate the selected models, we calculated the percent of bias between estimated biomass (by the regression models) and real biomass obtained after the weighing of biomass, all this process was done for each clone by level of specificity.

Designing Rapid Transit Network Design with Alternative routes

The aim of this paper is to propose a model for the design of a robust rapid transit network. In this paper, a network is said to be robust when the effect of disruption on total trip coverage is minimized. The proposed model is constrained by three different kinds of flow conditions. These constraints will yield a network that provides several alternative routes for given origin–destination pairs, therefore increasing robustness. The paper includes computational experiments which show how the introduction of robustness influences network design

Robust rolling stock in rapid transit network

This paper focuses on the railway rolling stock circulation problem in rapid transit networks, in which frequencies are high and distances are relatively short. Although the distances are not very large, service times are high due to the large number of intermediate stops required to allow proper passenger flow. The main complicating issue is the fact that the available capacity at depot stations is very low, and both capacity and rolling stock are shared between different train lines. This forces the introduction of empty train movements and rotation maneuvers, to ensure sufficient station capacity and rolling stock availability. However, these shunting operations may sometimes be difficult to perform and can easily malfunction, causing localized incidents that could propagate throughout the entire network due to cascading effects. This type of operation will be penalized with the goal of selectively avoiding them and ameliorating their high malfunction probabilities. Critic trains, defined as train services that come through stations that have a large number of passengers arriving at the platform during rush hours, are also introduced. We illustrate our model using computational experiments drawn from RENFE (the main Spanish operator of suburban passenger trains) in Madrid, Spain. The results of the model, achieved in approximately 1 min, have been received positively by RENFE planners

Robust rolling stock under uncertain demand in rapid transit networks

This paper focuses on the railway rolling stock circulation problem in rapid transit networks where the known demand and train schedule must be met by a given fleet. In rapid transit networks the frequencies are high and distances are relatively short. Although the distances are not very large, service times are high due to the large number of intermediate stops required to allow proper passenger flow. The previous circumstances and the reduced capacity of the depot stations and that the rolling stock is shared between the different lines, force the introduction of empty trains and a careful control on shunting operation. In practice the future demand is generally unknown and the decisions must be based on uncertain forecast. We have developed a stochastic rolling stock formulation of the problem. The computational experiments were developed using a commercial line of the Madrid suburban rail network operated by RENFE (The main Spanish operator of suburban trains of passengers). Comparing the results obtained by deterministic scenarios and stochastic approach some useful conclusions may be obtained.