892 resultados para Plant population density
Resumo:
Groundwater is routinely analyzed for fecal indicators but direct comparisons of fecal indicators to the presence of bacterial and viral pathogens are rare. This study was conducted in rural Bangladesh where the human population density is high, sanitation is poor, and groundwater pumped from shallow tubewells is often contaminated with fecal bacteria. Five indicator microorganisms (E. coli, total coliform, F+RNA coliphage, Bacteroides and human-associated Bacteroides (HuBacteroides)) and various environmental parameters were compared to the direct detection of waterborne pathogens by quantitative PCR in groundwater pumped from 50 tubewells. Rotavirus was detected in groundwater filtrate from the largest proportion of tubewells (40%), followed by Shigella (10%), Vibrio (10%), and pathogenic E. coli (8%). Spearman rank correlations and sensitivity-specificity calculations indicate that some, but not all, combinations of indicators and environmental parameters can predict the presence of pathogens. Culture-dependent fecal indicator bacteria measured on a single date did not predict bacterial pathogens, but annually averaged monthly measurements of culturable E. coli did improve prediction for total bacterial pathogens. F+RNA coliphage were neither correlated nor sufficiently sensitive towards rotavirus, but were predictive of bacterial pathogens. A qPCR-based E. coli assay was the best indicator for the bacterial pathogens, rotavirus and all pathogens combined. Since groundwater cannot be excluded as a significant source of diarrheal disease in Bangladesh and neighboring countries with similar characteristics, the need to develop more effective methods for screening tubewells with respect to microbial contamination is necessary.
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The present study investigated the combined effects of ocean acidification, temperature, and salinity on growth and test degradation of Ammonia aomoriensis. This species is one of the dominant benthic foraminifera in near-coastal habitats of the southwestern Baltic Sea that can be particularly sensitive to changes in seawater carbonate chemistry. To assess potential responses to ocean acidification and climate change, we performed a fully crossed experiment involving three temperatures (8, 13, and 18°C), three salinities (15, 20, and 25) and four pCO2 levels (566, 1195, 2108, and 3843 µatm) for six weeks. Our results highlight a sensitive response of A. aomoriensis to undersaturated seawater with respect to calcite. The specimens continued to grow and increase their test diameter in treatments with pCO2 <1200 µatm, when Omega calc >1. Growth rates declined when pCO2 exceeded 1200 µatm (Omega calc <1). A significant reduction in test diameter and number of tests due to dissolution was observed below a critical Omega calc of 0.5. Elevated temperature (18°C) led to increased Omega calc, larger test diameter, and lower test degradation. Maximal growth was observed at 18°C. No significant relationship was observed between salinity and test growth. Lowered and undersaturated Omega calc, which results from increasing pCO2 in bottom waters, may cause a significant future decline of the population density of A. aomoriensis in its natural environment. At the same time, this effect might be partially compensated by temperature rise due to global warming.
Resumo:
Since the inauguration of the Greater Mekong Sub-region (GMS) Economic Cooperation Program in 1992, road infrastructure projects have played a very important role. Their economic significance, especially, has become a focal point after the introduction of the concept of the three economic corridors in 1998: the East-West Economic Corridor; the North-South Economic Corridor; and the Southern Economic Corridor (Figure 1). The completion of the Second International Mekong Bridge between Mukdahan, Thailand and Savannakhet, Laos was an epoch-making event in the development of the East-West Economic Corridor. The business community, however, has paid more attention to the Bangkok-Hanoi Road than the East-West Economic Corridor. This study examines the reasons why the former has received more focus than the latter, by using criteria such as population density and the economic scale at a provincial or state level. Thereafter, the effectiveness of other economic corridors is examined, by applying the same criteria.
Resumo:
Data mining, and in particular decision trees have been used in different fields: engineering, medicine, banking and finance, etc., to analyze a target variable through decision variables. The following article examines the use of the decision trees algorithm as a tool in territorial logistic planning. The decision tree built has estimated population density indexes for territorial units with similar logistics characteristics in a concise and practical way.
Resumo:
La gestión de riesgos debe ser entendida como una determinación de vínculos entre lo que se asume como vulnerabilidad, y la forma en la que se determinarían o estimarían la probabilidad en la concurrencia de un determinado hecho, partiendo de la idea de la concurrencia de un fenómeno y las acciones necesarias que deberán llevarse a cabo. El tema de vulnerabilidad y riesgo, cada día toma más importancia a nivel mundial, a medida que pasa el tiempo es más notoria la vulnerabilidad de ciertas poblaciones ante la presencia de determinados peligros naturales como son: inundaciones, desbordes de ríos, deslizamientos de tierra y movimientos sísmicos. La vulnerabilidad aumenta, a medida que crece la deforestación. La construcción en lugares de alto riesgo, como por ejemplo, viviendas a orillas de los ríos, está condicionada por la localización y las condiciones de uso del suelo, infraestructura, construcciones, viviendas, distribución y densidad de población, capacidad de organización, etc. Es ahora donde la gestión de riesgos, juega un papel muy importante en la sociedad moderna, siendo esta cada vez más exigente con los resultados y calidad de productos y servicios, además de cumplir también, con la responsabilidad jurídica que trae la concepción, diseño y construcción de proyectos en zonas inundables. El presente trabajo de investigación, se centra en identificar los riesgos, aplicando soluciones estructurales y recomendaciones resilientes para edificaciones que se encuentren emplazadas en zonas inundables. Disminuyendo así el riesgo de fallo estructural y el número de víctimas considerablemente. Concluyendo con un Catálogo de Riesgos y Soluciones para edificaciones en zonas inundables. Risk management should be understood as a determination of links between what is assumed to be vulnerable , and how that would be determined or would estimate the probability in the occurrence of a certain event, based on the idea of the occurrence of a phenomenon and necessary actions to be carried out . The issue of vulnerability and risk, every day takes more importance globally, as time passes is more notorious vulnerability of certain populations in the presence of certain natural hazards such as floods, swollen rivers, landslides and earthquakes. Vulnerability increases as it grows deforestation. The construction in high-risk locations, such as homes on the banks of rivers, is conditioned by the location and conditions of land use, infrastructure, construction, housing, distribution and population density, organizational skills, etc. Now where risk management plays a very important role in modern society, is being increasingly demanding with the results and quality of products and services, and also comply with the legal responsibility that brings the conception, design and construction projects in flood zones. This research focuses on identifying risks, implementing structural solutions and resilients’ recommendations for buildings that are emplaced in flood zones. Thus decreasing the risk of structural failure and the number of victims significantly. Concluding with a Catalogue of Risks and Solutions for buildings in flood zones.
Resumo:
Applications involving travel behavior from the perspective of land use are dating from the 1990s. Usually, four important components are distinguished: density, diversity and design (3D?s of Cervero and Kockelman) and accessibility (introduced by Geurs and van Wee). But there is not a general agreement on how to measure each of those 4 components. Density is used to be measured as population and employment densities, but others authors separate population density between residential and building densities. A lot of measures have been developed to estimate diversity: among others, a dissimilarity index to indicate the degree to which different land uses lie within one another?s surrounding, an entropy index to quantify the degree of balance across various land use types or proximities to commercial-retail uses. Design has been characterized by site design, and dwelling and street characteristics. Lastly, accessibility has become a frequently used concept, but its meaning on travel behavior field always refers to the ability ?to reach activities or locations by means of a travel mode?, measured as accessibility to jobs, to leisure activities, and others. Furthermore, the previous evidence is mainly based on US data or on north European countries. Therefore, this paper adds some new evidence from a Spanish perspective to the research debate. Through a Madrid smartphone-based survey, factor analysis is used to linearly combine variables into the 3D?s and accessibility dimensions of the built environment. At a first step for future investigations, land use variables will be treated to define accurately the previous 4 components.
Resumo:
Existe una creciente preocupación por las catástrofes de origen natural que están por llegar, motivo por el que se están realizando estudios desde prácticamente todas las ramas de la ciencia. La razón para ello se puede encontrar en el miedo a que los eventos futuros puedan dificultar las actividades humanas, aunque no es el único factor. Por todo ello, se produce una dispersión muy importante incluso en los conceptos más elementales como qué debe ser considerado o cómo debe llamarse y catalogarse uno u otro elemento. En consecuencia, los métodos para comprender los riesgos naturales también son muy diferentes, rara vez encontrándose enfoques realmente multidisciplinares. Se han realizado algunos esfuerzos para crear un marco de entendimiento común como por ejemplo, la "Directiva sobre inundaciones" o, más recientemente, la Directiva Inspire. Las entidades aseguradoras y reaseguradoras son un actor importante entre los muchos involucrados en los estudios de riesgos. Su interés radica en el hecho de que terminan pagando la mayor parte de la factura, si no toda. Pero, a cuánto puede ascender esa factura, no es una pregunta fácil de responder aún en casos muy concretos, y sin embargo, es la pregunta que constantemente se plantea por parte de los tomadores de decisiones a todos los niveles. Este documento resume las actividades de investigación que han llevado a cabo al objeto de sentar un marco de referencia, implementando de enfoques numéricos capaces de hacer frente a algunas de las cuestiones más relevantes que se encuentran en casi todos los estudios de riesgos naturales, ensayando conceptos de manera pragmática. Para ello, se escogió un lugar experimental de acuerdo a diferentes criterios, como la densidad de población, la facilidad de proporcionar los límites geográficos claros, la presencia de tres de los procesos geológicos más importantes (inundaciones, terremotos y vulcanismo) y la disponibilidad de datos. El modelo aquí propuesto aprovecha fuentes de datos muy diversas para evaluar los peligros naturales, poniendo de relieve la necesidad de un enfoque multidisciplinar y emplea un catálogo de datos único, unificado, independiente (no orientado), coherente y homogéneo para estimar el valor de las propiedades. Ahora bien, los datos se explotan de manera diferente según cada tipo de peligro, manteniendo sin variación los conceptos subyacentes. Durante esta investigación, se ha encontrado una gran brecha en la relación entre las pérdidas reales y las probabilidades del peligro, algo contrario a lo que se ha pensado que debía ser el comportamiento más probable de los riesgos naturales, demostrando que los estudios de riesgo tienen vida útil muy limitada. En parte debido ello, el modelo propuesto en este estudio es el de trabajar con escenarios, fijando una probabilidad de ocurrencia, lo que es contrario al modelo clásico de evaluar funciones continuas de riesgo. Otra razón para abordar la cuestión mediante escenarios es forzar al modelo para proporcionar unas cifras creíbles de daño máximo fijando cuestiones como la ubicación espacial de un evento y sus probabilidades, aportando una nueva visión del "peor escenario posible” de probabilidad conocida. ABSTRACT There is a growing concern about catastrophes of natural origin about to come hence many studies are being carried out from almost any science branch. Even though it is not the only one, fear for the upcoming events that might jeopardize any given human activity is the main motive. A forking effect is therefore heavily present even on the basic concepts of what is to be considered or how should it be named and catalogued; as a consequence, methods towards understanding natural risks also show great differences and a multidisciplinary approach has seldomly been followed. Some efforts were made to create a common understanding of such a matter, the “Floods Directive” or more recently the Inspire Directive, are a couple of examples. The insurance sector is an important actor among the many involved. Their interest relies on the fact that, eventually, they pay most of the bill if not all. But how much could that be is not an easy question to be answerd even in a very specific case, and it is almost always the question posed by decision makers at all levels. This document summarizes research activities that have being carried out in order to put some solid ground to be followed, implementing numerical approaches that are capable of coping with some of the most relevant issues found in almost all natural risk studies, testing concepts pragmatically. In order to do so, an experimental site was selected according to different criteria, such as population density, the ease of providing clear geographical boundaries, the presence of three of the most important geological processes (floods, earthquakes and volcanism) and data availability. The model herein proposed takes advantage of very diferent data sources in the assessment of hazard, pointing out how a multidisciplinary approach is needed, and uses only one unified, independent, consistent, homogeneous (non objective driven) source for assessing property value. Data is exploited differently according to each hazard type, but the underlying concepts remain the same. During this research, a deep detachment was found between actual loss and hazard chances, contrarily to what has been thought to be the most likely behaviour of natural hazards, proving that risk studies have a very limited lifespan. Partially because of such finding, the model in this study addresses scenarios with fixed probability of occurrence, as opposed to studying a continuous hazard function as usually proposed. Another reason for studying scenarios was to force the model to provide a reliable figure after a set of given parameters where fixed, such as the spatial location of an event and its chances, so the “worst case” of a given return period could be found.