Stochastic evaluation of sewer inlet capacity on urban pluvial flooding

In this paper we present an innovative methodology to stochastically assess the impact of sewer inlet conditions on urban pluvial flooding. The results showed that sewer inlet capacity can have a large impact on the occurrence of urban pluvial flooding. The methodology is a useful tool for dealing with uncertainties in sewer inlet operational conditions and contribute to comprehensive assessment of urban pluvial risk assessment

On the use of semi-distributed and fully-distributed urban stormwater models

Urban stormwater models comprise four main components: rainfall, rainfall-runoff, overland flow and sewer flow modules. They can be considered semi-distributed (SD) or fully distributed (FD) according to the rainfall-runoff module definition. SD models are based on sub-catchments units through which rainfall is applied to the model and at which runoff volumes are estimated. In FD models, the runoff volumes are estimated and applied directly on every element of a twodimensional (2D) model of the surface. This poster presents a comparison of SD and FD models based on two case studies: Zona Central catchment at Coimbra, Portugal, and Cranbrook catchment at London, UK. SD and FD modelling results are compared against water depth and flow records in sewers, and photographic records of a flood event. In general, FD models are theoretically more realistic and physically-based, but the results of this study suggest that the implementation of these models requires higher resolution (more detailed) elevation, land use and sewer network data than is normally used in the implementation of SD models. Failing to use higher resolution data for the implementation of FD models could result in poor-performing models. In cases when high resolution data are not available, the use of SD models could be a better choice

Stochastic urban pluvial flood hazard maps based upon a spatial-temporal rainfall generator

It is a common practice to assign the return period of a given storm event to the urban pluvial flood event that such storm generates. However, this approach may be inappropriate as rainfall events with the same return period can produce different urban pluvial flooding events, i.e., with different associated flood extent, water levels and return periods. This depends on the characteristics of the rainfall events, such as spatial variability, and on other characteristics of the sewer system and the catchment. To address this, the paper presents an innovative contribution to produce stochastic urban pluvial flood hazard maps. A stochastic rainfall generator for urban-scale applications was employed to generate an ensemble of spatially—and temporally—variable design storms with similar return period. These were used as input to the urban drainage model of a pilot urban catchment (~9 km2) located in London, UK. Stochastic flood hazard maps were generated through a frequency analysis of the flooding generated by the various storm events. The stochastic flood hazard maps obtained show that rainfall spatial-temporal variability is an important factor in the estimation of flood likelihood in urban areas. Moreover, as compared to the flood hazard maps obtained by using a single spatially-uniform storm event, the stochastic maps generated in this study provide a more comprehensive assessment of flood hazard which enables better informed flood risk management decisions

SPATIAL PREDICTION OF HEAVY METAL POLLUTION FOR SOILS IN COIMBATORE, INDIA BASED ON ANN AND KRIGING MODEL

The concentration of five soil heavy metals (Cr, Pb, and As) was measured in 121 sampling sites in Coimbatore, Tamil Nadu, India regions known as centres of pollution due to the chemical and metallurgical activities. The soil samples were collected from locations where the ground is not sliding and the probability of alluvial deposits is small. The concentration of heavy metals was measured by using Atomic Absorption spectrometer. Kriging and ANN techniques were used to develop the model to predict the constituents of the heavy metal in the soils. In some locations, the concentration for the investigated heavy metals exceeds the concentration admitted by the guideline. The highest concentration of lead (8.9 ppm) was found in Ukkadam Lake. The highest concentration of chromium was found in Ganapathi (3.6 ppm). The highest concentration of Arsenic (5.4 ppm) was found in Sidco Industrial Estate. The maximum admitted concentrations in the sensitive areas revealed to be exceed from five to twenty times

La relación entre el vocabulario y la inteligencia emocional en función del sexo

El objetivo de este estudio es analizar la relación entre el vocabulario y la inteligencia emocional en función del sexo. La muestra estuvo constituida por 50 niños de 1º de Educación Primaria. Los resultados indican que a mayor vocabulario mayor comprensión emocional total y en el reconocimiento de expresiones en dibujos, aunque el vocabulario no correlacionó con el reconocimiento facial en caras reales, ni en el reconocimiento de expresiones en dibujos mediante el uso de música. Los resultados de la comparación de medias mostraron que las niñas obtuvieron mejores puntuaciones en vocabulario que los niños, aunque de forma no significativa. La media de IE total, en reconocimiento de caras reales y de dibujos fue mayor en niñas que en niños de forma significativa. La media de IE en el reconocimiento de expresiones en dibujos mediante el uso de música fue igual en niños y niñas. El análisis de regresión indicó que, aunque las niñas mostraron mayores niveles de IE, la relación entre PEABODY e IE fue positiva en niños y prácticamente nula en niñas. Además, se encontró una relación negativa entre vocabulario y reconocimiento de caras mediante el uso de la música en niñas y positiva, pero débil, en niños

Urban stormwater modelling with MOHID

MOHID is a platform that includes a set of numerical models to simulate the water cycle in an integrated approach. It is an open source project that has been developed and applied to a wide range of studies since 1985. To increase its applicability for urban storm water modelling, the main module of the platform MOHID Land is now integrated with SWMM model via OpenMI. This poster evaluates the performance of MOHID in urban storm water modelling, by comparing results of the test cases presented by S. Néelz and G. Pender (2013) and of a real case study with InfoWorks ICM vs. 5.5. Moreover, it is discussed the advantage of covering the entire water cycle in MOHID platform, making it applicable for a wide range of cases

Modelamiento con GHENeSys IEC 1131 Compatible

El presente artículo trata un acercamiento reciente de modelado sobre redes de Petti (PN) como método formal de diseño, verificación, validación e implementación de programas de PLCs. En éste se define la red jerárquica extendida GHENEeSys IEC 1131 Compatible y se detalla una metodología que comprendeesta ted como formalismo a emplear. Ésta red persigue adaptarse a las particularidades de los PLCs como dispositivos de automatización y control, así como ganar en simplicidad, generalidad y facilidades de aplicación al aprovechar las potencialidades que brinda y que están dadas en su capacidad de obtener modelos jerárquicos, sus posibilidades de representación, su carácter general, los métodos de análisis que permite aplicar y la fácil traducción del modelo obtenido a un programa resultante IEC 1131 compatible a través de simples reglas de analogías