899 resultados para damages for future economic loss
Assessment of seismic hazard and liquefaction potential of Gujarat based on probabilistic approaches
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Gujarat is one of the fastest-growing states of India with high industrial activities coming up in major cities of the state. It is indispensable to analyse seismic hazard as the region is considered to be most seismically active in stable continental region of India. The Bhuj earthquake of 2001 has caused extensive damage in terms of causality and economic loss. In the present study, the seismic hazard of Gujarat evaluated using a probabilistic approach with the use of logic tree framework that minimizes the uncertainties in hazard assessment. The peak horizontal acceleration (PHA) and spectral acceleration (Sa) values were evaluated for 10 and 2 % probability of exceedance in 50 years. Two important geotechnical effects of earthquakes, site amplification and liquefaction, are also evaluated, considering site characterization based on site classes. The liquefaction return period for the entire state of Gujarat is evaluated using a performance-based approach. The maps of PHA and PGA values prepared in this study are very useful for seismic hazard mitigation of the region in future.
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In addition to providing vital ecological services, coastal areas of North Carolina provide prized areas for habitation, recreation, and commercial fisheries. However, from a management perspective, the coasts of North Carolina are highly variable and complex. In-water constituents such as nutrients, suspended sediments, and chlorophyll a concentration can vary significantly over a broad spectrum of time and space scales. Rapid growth and land-use change continue to exert pressure on coastal lands. Coastal environments are also very vulnerable to short-term (e.g., hurricanes) and long-term (e.g., sea-level rise) natural changes that can result in significant loss of life, economic loss, or changes in coastal ecosystem functioning. Hence, the dynamic nature, effects of human-induced change over time, and vulnerability of coastal areas make it difficult to effectively monitor and manage these important state and national resources using traditional data collection technologies such as discrete monitoring stations and field surveys. In general, these approaches provide only a sparse network of data over limited time and space scales and generally are expensive and labor-intensive. Products derived from spectral images obtained by remote sensing instruments provide a unique vantage point from which to examine the dynamic nature of coastal environments. A primary advantage of remote sensing is that the altitude of observation provides a large-scale synoptic view relative to traditional field measurements. Equally important, the use of remote sensing for a broad range of research and environmental applications is now common due to major advances in data availability, data transfer, and computer technologies. To facilitate the widespread use of remote sensing products in North Carolina, the UNC Coastal Studies Institute (UNC-CSI) is developing the capability to acquire, process, and analyze remotely sensed data from several remote sensing instruments. In particular, UNC-CSI is developing regional remote sensing algorithms to examine the mobilization, transport, transformation, and fate of materials between coupled terrestrial and coastal ocean systems. To illustrate this work, we present the basic principles of remote sensing of coastal waters in the context of deriving information that supports efficient and effective management of coastal resources. (PDF contains 4 pages)
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Invasive alien species have become one of the most serious environmental issues in the world. Data of taxon, origin, pathway, and environmental impacts of invasive alien microorganisms, invertebrates, amphibians and reptiles, fish, birds, mammals, herbs, trees, and, marine organisms in terrestrial, aquatic, and marine ecosystems of China were analyzed during 2001 and 2003, based on literature retrieval and field survey. There were 283 invasive alien species in China, and the number of species of invasive alien microorganisms, aquatic plants, terrestrial plants, aquatic invertebrates, terrestrial invertebrates, amphibians and reptiles, fish, and mammals were 19, 18, 170, 25, 33, 3, 10, and 5, respectively. The proportion of invasive alien species originated from America, Europe, Asia, Africa, and Oceania were 55.1, 21.7, 9.9, 8.1, and 0.6%, respectively. Methods for estimation of direct economic losses to agriculture, forestry, stockbreeding, fishery, road and water transportation, storage, water conservancy, environment and public facilities, and human health were established. Methods for estimation of indirect economic losses caused by invasive alien species to service functions of forest ecosystems, agricultural ecosystems, grassland ecosystems, and wetland ecosystems were also established. The total economic losses caused by invasive alien species to China were to the time of USD 14.45 billion, with direct and indirect economic losses accounting for 16.59% and 83.41% of total economic losses, respectively.
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Considers the Court of Appeal ruling in Forsyth-Grant v Allen on the principles to be applied in assessing damages for the loss of light. Outlines the method for calculating damages for loss of right to light, the type of amenity which will be included in calculations for loss of amenity and the process applied in this case for assessing damages arising from the loss of profits that would have been made by the owner of the right to light if they had negotiated to relax the covenant, with reference to case law. Notes the limits to damages available for hypothetical loss and the difference between this award of profits and an account of profits.
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A frequent refrain during recent debates on welfare cuts and tax increases has related to the need to "protect the vulnerable". However, it is far from clear that a consensus exists on which individuals or groups are to be included under this heading with a consequent lack of clarity for the policy implications of pursuing this goal. In this paper, operating with a conception of social exclusion that incorporates notions of dynamics and multidimensionality, we make use of EU-SILC 2008 data for Ireland to clarify the distinction between income poverty and economic vulnerability. We then proceed to consider the relationship between these outcomes and multiple deprivation, financial pressures and perceptions of recent and future economic prospects. Our analysis is then extended to compare patterns of risk for poverty and vulnerability in relation to key socio-economic groups. Finally, we will consider the relationship between poverty and vulnerability and the distribution of welfare dependence. Our analysis suggests that the vulnerable but non-poor group may need to be a key focus of policy attention in the future.
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The exponential growth of the world population has led to an increase of settlements often located in areas prone to natural disasters, including earthquakes. Consequently, despite the important advances in the field of natural catastrophes modelling and risk mitigation actions, the overall human losses have continued to increase and unprecedented economic losses have been registered. In the research work presented herein, various areas of earthquake engineering and seismology are thoroughly investigated, and a case study application for mainland Portugal is performed. Seismic risk assessment is a critical link in the reduction of casualties and damages due to earthquakes. Recognition of this relation has led to a rapid rise in demand for accurate, reliable and flexible numerical tools and software. In the present work, an open-source platform for seismic hazard and risk assessment is developed. This software is capable of computing the distribution of losses or damage for an earthquake scenario (deterministic event-based) or earthquake losses due to all the possible seismic events that might occur within a region for a given interval of time (probabilistic event-based). This effort has been developed following an open and transparent philosophy and therefore, it is available to any individual or institution. The estimation of the seismic risk depends mainly on three components: seismic hazard, exposure and vulnerability. The latter component assumes special importance, as by intervening with appropriate retrofitting solutions, it may be possible to decrease directly the seismic risk. The employment of analytical methodologies is fundamental in the assessment of structural vulnerability, particularly in regions where post-earthquake building damage might not be available. Several common methodologies are investigated, and conclusions are yielded regarding the method that can provide an optimal balance between accuracy and computational effort. In addition, a simplified approach based on the displacement-based earthquake loss assessment (DBELA) is proposed, which allows for the rapid estimation of fragility curves, considering a wide spectrum of uncertainties. A novel vulnerability model for the reinforced concrete building stock in Portugal is proposed in this work, using statistical information collected from hundreds of real buildings. An analytical approach based on nonlinear time history analysis is adopted and the impact of a set of key parameters investigated, including the damage state criteria and the chosen intensity measure type. A comprehensive review of previous studies that contributed to the understanding of the seismic hazard and risk for Portugal is presented. An existing seismic source model was employed with recently proposed attenuation models to calculate probabilistic seismic hazard throughout the territory. The latter results are combined with information from the 2011 Building Census and the aforementioned vulnerability model to estimate economic loss maps for a return period of 475 years. These losses are disaggregated across the different building typologies and conclusions are yielded regarding the type of construction more vulnerable to seismic activity.
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A method was developed to evaluate crop disease predictive models for their economic and environmental benefits. Benefits were quantified as the value of a prediction measured by costs saved and fungicide dose saved. The value of prediction was defined as the net gain made by using predictions, measured as the difference between a scenario where predictions are available and used and a scenario without prediction. Comparable 'with' and 'without' scenarios were created with the use of risk levels. These risk levels were derived from a probability distribution fitted to observed disease severities. These distributions were used to calculate the probability that a certain disease induced economic loss was incurred. The method was exemplified by using it to evaluate a model developed for Mycosphaerella graminicola risk prediction. Based on the value of prediction, the tested model may have economic and environmental benefits to growers if used to guide treatment decisions on resistant cultivars. It is shown that the value of prediction measured by fungicide dose saved and costs saved is constant with the risk level. The model could also be used to evaluate similar crop disease predictive models.
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This paper reports the proceedings of a conference held at Reading University in 1993 which addressed the issues of new technological developments at the regional and sub-regional levels in Britain and France. These new technological clusters - the `Technopoles' - are investigated in a series of papers in both English and French which examines their spatial, sectoral and economic aspects to determine what lessons can be learned from their development and what their future economic significance is likely to be. Two recurring themes are of particular significance in the papers - the link between R& D and regional development, and the different forms which innovation assumes within the various technopoles under scrutiny.
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Objective To assess several baseline risk factors that may predict patellofemoral and tibiofemoral cartilage loss during a 6-month period. Methods For 177 subjects with chronic knee pain, 3T magnetic resonance imaging (MRI) of both knees was performed at baseline and followup. Knees were semiquantitatively assessed, evaluating cartilage morphology, subchondral bone marrow lesions, meniscal morphology/extrusion, synovitis, and effusion. Age, sex, and body mass index (BMI), bone marrow lesions, meniscal damage/extrusion, synovitis, effusion, and prevalent cartilage damage in the same subregion were evaluated as possible risk factors for cartilage loss. Logistic regression models were applied to predict cartilage loss. Models were adjusted for age, sex, treatment, and BMI. Results Seventy-nine subregions (1.6%) showed incident or worsening cartilage damage at followup. None of the demographic risk factors was predictive of future cartilage loss. Predictors of patellofemoral cartilage loss were effusion, with an adjusted odds ratio (OR) of 3.5 (95% confidence interval [95% CI] 1.39.4), and prevalent cartilage damage in the same subregion with an adjusted OR of 4.3 (95% CI 1.314.1). Risk factors for tibiofemoral cartilage loss were baseline meniscal extrusion (adjusted OR 3.6 [95% CI 1.310.1]), prevalent bone marrow lesions (adjusted OR 4.7 [95% CI 1.119.5]), and prevalent cartilage damage (adjusted OR 15.3 [95% CI 4.947.4]). Conclusion Cartilage loss over 6 months is rare, but may be detected semiquantitatively by 3T MRI and is most commonly observed in knees with Kellgren/Lawrence grade 3. Predictors of patellofemoral cartilage loss were effusion and prevalent cartilage damage in the same subregion. Predictors of tibiofemoral cartilage loss were prevalent cartilage damage, bone marrow lesions, and meniscal extrusion.
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El presente estudio evalúa la evolución y los daños causados por la gran inundación del año 2001, en la provincia de Buenos Aires, ubicada en la principal región agrícola-ganadera de secano de la Argentina. El gobierno bonaerense estimó que las pérdidas económicas en el sector agropecuario alcanzaron cifras muy elevadas: U$S 700 millones. Pero la grave situación empezó a fines del año anterior cuando en noviembre, ya los suelos estaban con excesos de agua. Esto significa que su capacidad de absorción y almacenaje estaban en su límite y la napa freática estaba a muy poca profundidad. En 2001 se observaron dos ciclos de inundaciones, uno a principios y otro a fines de año.
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El presente estudio evalúa la evolución y los daños causados por la gran inundación del año 2001, en la provincia de Buenos Aires, ubicada en la principal región agrícola-ganadera de secano de la Argentina. El gobierno bonaerense estimó que las pérdidas económicas en el sector agropecuario alcanzaron cifras muy elevadas: U$S 700 millones. Pero la grave situación empezó a fines del año anterior cuando en noviembre, ya los suelos estaban con excesos de agua. Esto significa que su capacidad de absorción y almacenaje estaban en su límite y la napa freática estaba a muy poca profundidad. En 2001 se observaron dos ciclos de inundaciones, uno a principios y otro a fines de año.
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El presente estudio evalúa la evolución y los daños causados por la gran inundación del año 2001, en la provincia de Buenos Aires, ubicada en la principal región agrícola-ganadera de secano de la Argentina. El gobierno bonaerense estimó que las pérdidas económicas en el sector agropecuario alcanzaron cifras muy elevadas: U$S 700 millones. Pero la grave situación empezó a fines del año anterior cuando en noviembre, ya los suelos estaban con excesos de agua. Esto significa que su capacidad de absorción y almacenaje estaban en su límite y la napa freática estaba a muy poca profundidad. En 2001 se observaron dos ciclos de inundaciones, uno a principios y otro a fines de año.
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The economic evaluation of drought impacts is essential in order to define efficient and sustainable management and mitigation strategies. The aim of this study is to evaluate the economic impacts of a drought event on the agricultural sector and measure how they are transmitted from primary production to industrial output and related employment. We fit econometric models to determine the magnitude of the economic loss attributable to water storage. The direct impacts of drought on agricultural productivity are measured through a direct attribution model. Indirect impacts on agricultural employment and the agri-food industry are evaluated through a nested indirect attribution model. The transmission of water scarcity effects from agricultural production to macroeconomic variables is measured through chained elasticities. The models allow for differentiating the impacts deriving from water scarcity from other sources of economic losses. Results show that the importance of drought impacts are less relevant at the macroeconomic level, but are more significant for those activities directly dependent on water abstractions and precipitation. From a management perspective, implications of these findings are important to develop effective mitigation strategies to reduce drought risk exposure.
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El territorio chileno esta propenso, desde antes que se constituyera como nación, al impacto del comportamiento de la naturaleza que le es inherente y que también le produce daños. Está representado en los seísmos, los más dañinos. Todavía, la sociedad chilena no termina de comprender que esos daños, son parte de un desequilibrio de una convivencia armoniosa entre ella y esa naturaleza, puesto que el ser humano que vive y habita sobre ella, también lo es. Así entonces, cada vez que el territorio y su espacio son remecidos por los seísmos, la naturaleza, manifestada en la sociedad, adquiere nuevos aprendizajes para mejorar la respuesta al próximo evento. El terremoto 2010 de 8.8° Richter, fue el segundo de mayor magnitud después del otro que hasta ahora, es el más grande del planeta, y que pudo ser medido. Aquel, fue el terremoto de Valdivia de 9,5° Richter, ocurrido el 22 de mayo de 1960. Las sociedades no son estáticas, cambian, son dinámicas. Esta vez el seísmo del 2010, ocurrió en una sociedad que hace ya 35 años, adoptó un modelo de economía de libre mercado. La pobreza que tenía a 1990, era de aproximadamente, un 40%. La del 2010, de un 14%. Durante la dictadura militar hubo otro seísmo de 7,8° Richter, recién instalándose el modelo aludido. El del 2010, permite sacar conclusiones en el contexto de este modelo económico. Los resultados aparentemente son interesantes en cuanto a que hubo pocas víctimas pero por otra parte, hubo un gran daño económico. La tesis profundiza en el impacto del seísmo en la dimensión del parque habitacional construido y de la vivienda social y en los habitantes más pobres y vulnerables. Es la primera investigación sobre seísmos y vivienda social en Chile. Se asume la hipótesis que ciertas variables por una parte, y una cultura antisísmica por otra, están presentes y han penetrado en los sectores populares durante los últimos 50 años y que ello, podría estar en la base de los resultados obtenidos. Se plantea una suerte de “matrimonio bien avenido” entre el habitante y políticas públicas en vivienda. De ello, se derivan recomendaciones para mejorar los avances en el problema investigado que se contextualizan en referencia al marco teórico elaborado. Sin embargo, y no obstante lo investigado, lo ya avanzado no garantiza buenos resultados en el próximo evento, Por ello, los aprendizajes nutren a otros, nuevos, que acompañarán a la sociedad chilena en su esencia e identidad como nación. ABSTRACT Long before its establishment as an independent nation, the Chilean territory has been prone to the impact of nature, which is an inherent and damaging feature of this land. Such an impact is represented by earthquakes, which are regarded as the most damaging natural disasters. Today, the Chilean society is still unable to understand that these impacts are part of an unbalanced coexistence between individuals and nature since human beings, who live and inhabit this space, are also an element of nature. Therefore, each time this territory is hit by earthquakes, nature —represented by society— learns new lessons in order to provide a better response to future events. The 2010 earthquake, which rated 8.8 on the Richter scale, was the second largest earthquake after the most powerful earthquake ever recorded. Such an event was the Valdivia earthquake of May 22, 1960, which rated 9.5 on the Richter scale. Societies are not static as they are changing and dynamic. The 2010 earthquake took place within a context in which society operated under a free market economy model that had been running for 35 years. As of 1990, 40 per cent of the population lived in poverty; in 2010, such a figure was reduced to 14 per cent. Likewise, a magnitude 7.8 quake struck the country during the military regime period in the early days of the above model. The 2010 earthquake allows us to draw some conclusions within the context of this economic model. Results are interesting since there were few fatalities but significant economic loss. This thesis provides insights into the impact of the 2010 earthquake on the housing stock, social housing and those living in poverty and vulnerability. This is the first research on earthquakes and social housing conducted in Chile. The hypothesis is that certain variables and anti-seismic culture have permeated popular segments of the population over the last 50 years. The latter may be at the basis of the results obtained during this research. Likewise, this study proposes a certain “happy marriage” between the inhabitant and public policies on housing. The above offers some recommendations intended to further explore this issue; these suggestions are contextualized according to the theoretical framework developed in this research. However, current progress on this matter does not ensure positive results in the event of an earthquake. This is why these lessons will serve as models for future events, which are intrinsically tied to local society and Chilean identity.