998 resultados para Sunlight Model
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样带是沿全球变化某一驱动因素的主要梯度而设置的由一系列研究站点构成的区域,被认为是研究全球变化与陆地生态系统关系的最有效的途径。而模型研究是全球变化研究中不可或缺的手段。本文即采用模型研究方法研究中国东北温带样带(NECT)区域,试图揭示温带生态系统对于全球变化(尤其是降水)的反应机制。
中国东北温带样带(NECT)位于42°N - 46°N,108°E - 132°E,长约二千多公里,是最早被列入GCTE的四条样带之一,从东到西有明显的湿度梯度,被认为是温带区域研究水分梯度的代表性样带。本文研究主要集中在:
1.NECT中环境数据库的建立,本文采用EIS作为数据管理系统。由于EIS管理空间数据的特点是根据确定的地理坐标来提供空间定位,因而每一环境因子的属性值分布都有确定的地理坐标与其对应,特别适合于样带这种研究区域较大,同时又要求有精确空间定位的区域。NECT环境数据库包括地形、气候、植被、土壤、土地利用、水文、孢粉数据及社会经济等分库、本数据库力图提供各环境因子的各种属性值而代替仅仅提供类型值。
2.NECT中PFTs的划分PFTs的划分被认为是建立DGVM的前提。本文认为PFTs的划分是模型研究中一个尺度上升过程的结果,不同的尺度,不同的研究目标导致不同的PFTs的划分。在NECT区域中,考虑植被对全球变化中降水因子的不同反映机制,采用生活型、高度、耐旱特性、叶子大小、叶子季相、主根深度和木质化程度等指标根据- TWINSPAN和FCLUS进行划分,得到以下9种NECT区域中植被功能类型:常绿针叶树种、落叶针叶树种、落叶阔叶树种、落叶小叶灌木、落叶小叶半灌木、落叶强旱生半灌木、多年生中旱生草本、适应旱生环境的多年生草本和多年生强旱生草本。对NECT区域中PFTs的DCA分析表明降水是控制PFTs在NECT区域中分布的主要环境因子。在代表景观层次的长白山PFTs的划分中,则采用树种有记载的最大寿命、最大胸径、最大树高、各树种生长参数、树种自然分布区内>5℃的有效积温的最小值和最大值、耐阴、耐旱、喜肥特性、树种的扩散更新,就地下种更新和萌条更新能力参数及叶子大小和类型等指标采用上述软件得到的以下PFTs:即不耐荫阔叶树种、耐荫阔叶树种、耐荫针叶树种和不耐荫的阳生针叶树种。
3.NECT中BCM模型的建立和预测 本文认为土壤水是决定SPC系统水分状况的直接指标。而均衡土壤水分剖面代表了土壤水的多年平均状态,因而本文以Watershed模型为基础,模拟NECT区域中任意一点的均衡土壤水分剖面(精度为每经纬网格32×48个点);然后根据这个均衡水分剖面用计算LAI子模型确定该水分剖面所能支持的LAI;进而根据这个LAI由Biome等模型划分出Biome在NECT中的分布。全球变化的结果将改变区域中任意一点的土壤水分状况,从而影响植被的LAI,进而导致Biome的改变。本模型成功的模拟了LAI和Biome在NECT区域中的分布,利用85-90生长季每月平均的NDVI作相关检验表明除5月份以外,相关系数都>0.7,而5月份也达到0,6457,都达到了极显著的程度。尤为重要的是,模型对于不同植被类型的NDVI与LAI的对应关系有良好的模拟,如针叶林的LAI在相同的NDVI值下明显比阔叶林小,因而模型模拟的LAI在NECT东部针叶林分布区LAI值比针阔混交林明显偏小,而与Spanmen等(1990)所提出的针叶林叶面积指数与NDVI关系非常一致。模型的预测显示:(1) T+20C (PET+15%),Precipitation+20%,LAI总体上变化不大,且空间变化呈现复杂性,总体上表现出草原植被LAI减少,而森林的LAI增加;Biome层次表现出针阔混交林和矮草原面积扩大,针叶林和森林草原面积减少,其中对于该情形下变化最为明显的是针叶林和森林草原。NECT东部区域发育在沙性土上的植被的LAI明显增加,而科尔沁沙地植被的LAI则维持不变。(2)T+40C (PET+30%),Precipitation+20%,LAI总体上将减小0.14,但空间分布不均。东部森林区域LA1将维持不变或增加(主要为针叶林),草原植被LAI仍表现出减少趋势;在Biome层次上则表现出草原面积的扩大。对于第一种情形下LAI有增有减的森林革原地区则表现出减小的一致性,总体来说,第二种情形比第一种情形表现出相当的干旱性。从对两种全球变化情形的反应来看,针叶林和森林草原是NECT中对全球变化驱动因子温度和降水的敏感植被类型;丽科尔沁沙地植被表现出相当的稳定性,表明该沙地的敏感性主要是由于人类活动这个因子造成的。
4.NECT中景观层次NPP模型的建立和预测 景观层次之所以成为模型研究中一个独特的层次,是由于地形效应的存在。地形效应对于水、热。营养物质的进行重新分配,从而进一步控制了生态系统的分布。本文选择NECT区域中森林生态系统的代表性分布小流域一二道白河小流域为研究区域。首先,应用Sunlight模型来模拟小流域任意一点所截取的能用于光合作用的太阳辐射能。Sunlight模型充分考虑了由于栅格的坡度、坡向和遮蔽度对可照时间和太阳直射辐射的影响以及坡度和可祝度对太阳散射辐射的影响,并提供了消除大气状况从站点观察数据推测的方法,即太阳直射辐射转换系数Rb和太阳散射辐射转换系数R,结合植被的分布特性,得到IPR在小流域中的分布。结果表明,IPR在小流域中相差不大,与高程呈正相关。进而利用温度修正模型得到温度修正系数,平均为0.446,表明温度对NPP的限制效应比较大;而水分修正系数则通过Topmodel模拟每一栅格的地下水位,由这个地下水位通过前述Waterbalance模型模拟均衡土壤水分剖面,进而求出水分修正系数,平均为0.86,表明该流域水分状况良好,水分状况对NPP的限制性不强。模拟结果显示:海拔
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Ultraviolet radiation (UV) is the carcinogen that causes the most common malignancy in humans – skin cancer. However, moderate UV exposure is essential for producing vitaminDin our skin. VitaminDincreases the absorption of calcium from the diet, and adequate calcium is necessary for the building and maintenance of bones. Thus, low levels of vitamin D can cause osteomalacia and rickets and contribute to osteoporosis. Emerging evidence also suggests vitamin D may protect against falls, internal cancers, psychiatric conditions, autoimmune diseases and cardiovascular diseases. Since the dominant source of vitamin D is sunlight exposure, there is a need to understand what is a “balanced” level of sun exposure to maintain an adequate level of vitamin D but minimise the risks of eye damage, skin damage and skin cancer resulting from excessive UV exposure. There are many steps in the pathway from incoming solar UV to the eventual vitamin D status of humans (measured as 25-hydroxyvitamin D in the blood), and our knowledge about many of these steps is currently incomplete. This project begins by investigating the levels of UV available for synthesising vitamin D, and how these levels vary across seasons, latitudes and times of the day. The thesis then covers experiments conducted with an in vitro model, which was developed to study several aspects of vitamin D synthesis. Results from the model suggest the relationship between UV dose and vitamin D is not linear. This is an important input into public health messages regarding ‘safe’ UV exposure: larger doses of UV, beyond a certain limit, may not continue to produce vitamin D; however, they will increase the risk of skin cancers and eye damage. The model also showed that, when given identical doses of UV, the amount of vitamin D produced was impacted by temperature. In humans, a temperature-dependent reaction must occur in the top layers of human skin, prior to vitamin D entering the bloodstream. The hypothesis will be raised that cooler temperatures (occurring in winter and at high latitudes) may reduce vitamin D production in humans. Finally, the model has also been used to study the wavelengths of UV thought to be responsible for producing vitamin D. It appears that vitamin D production is limited to a small range of UV wavelengths, which may be narrower than previously thought. Together, these results suggest that further research is needed into the ability of humans to synthesise vitamin D from sunlight. In particular, more information is needed about the dose-response relationship in humans and to investigate the proposed impact of temperature. Having an accurate action spectrum will also be essential for measuring the available levels of vitamin D-effective UV. As this research continues, it will contribute to the scientific evidence-base needed for devising a public health message that will balance the risks of excessive UV exposure with maintaining adequate vitamin D.
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Circulating 25-hydroxyvitamin D (25(OH)D), a marker for vitamin D status, is associated with bone health and possibly cancers and other diseases; yet, the determinants of 25(OH)D status, particularly ultraviolet radiation (UVR) exposure, are poorly understood. Determinants of 25(OH)D were analyzed in a subcohort of 1,500 participants of the US Radiologic Technologists (USRT) Study that included whites (n 842), blacks (n 646), and people of other races/ethnicities (n 12). Participants were recruited monthly (20082009) across age, sex, race, and ambient UVR level groups. Questionnaires addressing UVR and other exposures were generally completed within 9 days of blood collection. The relation between potential determinants and 25(OH)D levels was examined through regression analysis in a random two-thirds sample and validated in the remaining one third. In the regression model for the full study population, age, race, body mass index, some seasons, hours outdoors being physically active, and vitamin D supplement use were associated with 25(OH)D levels. In whites, generally, the same factors were explanatory. In blacks, only age and vitamin D supplement use predicted 25(OH)D concentrations. In the full population, determinants accounted for 25 of circulating 25(OH)D variability, with similar correlations for subgroups. Despite detailed data on UVR and other factors near the time of blood collection, the ability to explain 25(OH)D was modest.
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Several agencies in the United Kingdom have interest in the water quality of old navigational canals that have fallen into disuse after the decline of commercial canal transportation. The interested agencies desired a model to predict the water quantity and quality of inland navigational canals in order to evaluate management options to address the issues in the natural streams to which they discharge. Inland navigational canals have unique drivers of their hydrology and water quality compared to either natural streams, irrigation canals, or larger navigational canals connected to seas or oceans. Water in an inland canal is typically sourced from a reservoir and artificially pumped to a summit reach; its movement downhill is controlled by the activity of boats and overflow weirs. Stagnant impoundments between locks, which might normally be expected to result in a decrease in the concentration of sediment-associated pollutants, actually have surprisingly high levels of sediment due to boat traffic. Algal growth in the stagnant reach can be high. This paper describes a canal model developed to simulate hydrology and water quality in inland navigational canals. This model was successfully applied to the Kennet and Avon Canal to predict hydrology, sediment generation and transport, and algal growth and transport. The model is responsive to external influences such as sunlight, temperature, nutrient concentrations, boat traffic, and runoff from the contributing catchment area.
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This article develops a neural model of how the visual system processes natural images under variable illumination conditions to generate surface lightness percepts. Previous models have clarified how the brain can compute the relative contrast of images from variably illuminate scenes. How the brain determines an absolute lightness scale that "anchors" percepts of surface lightness to us the full dynamic range of neurons remains an unsolved problem. Lightness anchoring properties include articulation, insulation, configuration, and are effects. The model quantatively simulates these and other lightness data such as discounting the illuminant, the double brilliant illusion, lightness constancy and contrast, Mondrian contrast constancy, and the Craik-O'Brien-Cornsweet illusion. The model also clarifies the functional significance for lightness perception of anatomical and neurophysiological data, including gain control at retinal photoreceptors, and spatioal contrast adaptation at the negative feedback circuit between the inner segment of photoreceptors and interacting horizontal cells. The model retina can hereby adjust its sensitivity to input intensities ranging from dim moonlight to dazzling sunlight. A later model cortical processing stages, boundary representations gate the filling-in of surface lightness via long-range horizontal connections. Variants of this filling-in mechanism run 100-1000 times faster than diffusion mechanisms of previous biological filling-in models, and shows how filling-in can occur at realistic speeds. A new anchoring mechanism called the Blurred-Highest-Luminance-As-White (BHLAW) rule helps simulate how surface lightness becomes sensitive to the spatial scale of objects in a scene. The model is also able to process natural images under variable lighting conditions.
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This study develops a neuromorphic model of human lightness perception that is inspired by how the mammalian visual system is designed for this function. It is known that biological visual representations can adapt to a billion-fold change in luminance. How such a system determines absolute lightness under varying illumination conditions to generate a consistent interpretation of surface lightness remains an unsolved problem. Such a process, called "anchoring" of lightness, has properties including articulation, insulation, configuration, and area effects. The model quantitatively simulates such psychophysical lightness data, as well as other data such as discounting the illuminant, the double brilliant illusion, and lightness constancy and contrast effects. The model retina embodies gain control at retinal photoreceptors, and spatial contrast adaptation at the negative feedback circuit between mechanisms that model the inner segment of photoreceptors and interacting horizontal cells. The model can thereby adjust its sensitivity to input intensities ranging from dim moonlight to dazzling sunlight. A new anchoring mechanism, called the Blurred-Highest-Luminance-As-White (BHLAW) rule, helps simulate how surface lightness becomes sensitive to the spatial scale of objects in a scene. The model is also able to process natural color images under variable lighting conditions, and is compared with the popular RETINEX model.
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Free media may not favor political accountability when other democratic institutions are weak, and may even bring undesirable unintended consequences. We propose a simple model in which politicians running for office may engage in coercion to obtain votes. A media scandal that exposes these candidates increases their coercion effort to offset the negative popularity shock. This may result in the tainted politicians actually increasing their vote share. We provide empirical evidence from one recent episode in the political history of Colombia, the ‘parapolitics’ scandal featuring politicians colluding with illegal armed paramilitary groups to obtain votes. We show that colluding candidates not only get more votes than their clean competitors, but also concentrate them in areas where coercion is more likely (namely, areas with more paramilitary presence, less state presence, and more judicial inefficiency). Harder to reconcile with other explanations and as a direct test of the effects of media exposure, we compare tainted candidates exposed before elections to those exposed after. We find that those exposed before elections get as many votes as those exposed once elected, but their electoral support is more strongly concentrated in places where coercion is more likely. Our re
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For the first time, vertical column measurements of (HNO3) above the Arctic Stratospheric Ozone Observatory (AStrO) at Eureka (80N, 86W), Canada, have been made during polar night using lunar spectra recorded with a Fourier Transform Infrared (FTIR) spectrometer, from October 2001 to March 2002. AStrO is part of the primary Arctic station of the Network for the Detection of Stratospheric Change (NDSC). These measurements were compared with FTIR measurements at two other NDSC Arctic sites: Thule, Greenland (76.5N, 68.8W) and Kiruna, Sweden (67.8N, 20.4E). The measurements were also compared with two atmospheric models: the Canadian Middle Atmosphere Model (CMAM) and SLIMCAT. This is the first time that CMAM HNO3 columns have been compared with observations in the Arctic. Eureka lunar measurements are in good agreement with solar ones made with the same instrument. Eureka and Thule HNO3 columns are consistent within measurement error. Differences among HNO3 columns measured at Kiruna and those measured at Eureka and Thule can be explained on the basis of the available sunlight hours and the polar vortex location. The comparison of CMAM HNO3 columns with Eureka and Kiruna data shows good agreement, considering CMAM small inter-annual variability. The warm 2001/02 winter with almost no Polar Stratospheric Clouds (PSCs) makes the comparison of the warm climate version of CMAM with these observations a good test for CMAM under no PSC conditions. SLIMCAT captures the magnitude of HNO3 columns at Eureka, and the day-to-day variability, but generally reports higher HNO3 columns than the CMAM climatological mean columns.
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Explants of the hard coral Seriatopora hystrix were exposed to sublethal concentrations of the herbicide diuron DCMU (N'-(3,4-dichlorophenyl,-N,N-dimethylurea)) and the heavy metal copper. Pulse amplitude modulated (PAM) chlorophyll fluorescence techniques were used to assess the effects on the photosynthetic efficiency of the algal symbionts in the tissue (in Symbio), and chlorophyll fluorescence and counts of symbiotic algae (normalised to surface area) were used to assess the extent of coral bleaching. At 30 mug DCMU l(-1), there was a reduction in both the maximum effective quantum yield (DeltaF/F-m') and maximum potential quantum yield (F-v/F-m) of the algal symbionts in symbio. Corals subsequently lost their algal symbionts and discoloured (bleached), especially on their upper sunlight-exposed surfaces. At the same DCMU concentration but under low light (5% of growth irradiance), there was a marked reduction in DeltaF/F-m' but only a slight reduction in F-v/F-m and slight loss of algae. Loss of algal symbionts was also noted after a 7 d exposure to concentrations as low as 10 mug DCMU l(-1) under normal growth irradiance, and after 14 d exposure to 10 mug DCMU l(-1) under reduced irradiance. Collectively the results indicate that DCMU-induced bleaching is caused by a light-dependent photoinactivation of algal symbionts, and that bleaching occurs when F-v/F-n, (measured 2 h after sunset) is reduced to a value of less than or equal to 0.6. Elevated copper concentrations (60 mug Cu l(-1) for 10 h) also induced a rapid bleaching in S. hystrix but without affecting the quantum yield of the algae in symbio. Tests with isolated algae indicated that substantially higher concentrations (300 mug Cu l(-1) for 8 h) were needed to significantly reduce the quantum yield. Thus, copper-induced bleaching occurs without affecting the algal photosynthesis and may be related to effects on the host (animal). It is argued that warm-water bleaching of corals resembles both types of chemically induced bleaching, suggesting the need for an integrated model of coral bleaching involving the effect of temperature on both host (coral) and algal symbionts.
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The general purpose of this work is to investigate the potential of a mobile phone to capture soil colour images and process them, returning the corresponding Munsell colour coordi- nates from the digital RGB captured images, and also estimate the tristimulus values from the same images. A mobile phone HTC Desire HD, which runs Android 2.2, has been used to take and process images of a Munsell Soil Colour Chart under fixed illumination conditions. To obtain tristimulus values of each sample a Konica Minolta CS2000d spectroradiometer has been used under the same conditions. Penrose’s pseudoinverse method has been used to compute relationship between RGB coordinates from digital images and tristimulus values. Once the model has been computed it was implemented in the mobile phone. Results of this calibration show that more than 90% of the samples used in the calibration (238 chips) were measured by our mobile phone application with accuracy below 2.03 CIELAB units and a mean correlation coefficient equal to 0.9972. In case of Munsell models mean correlation coefficient is equal to 0.9407. This points to the idea that a conventional mobile device can be used to determine the colour of a soil under controlled illumination conditions.
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Fleck and Johnson (Int. J. Mech. Sci. 29 (1987) 507) and Fleck et al. (Proc. Inst. Mech. Eng. 206 (1992) 119) have developed foil rolling models which allow for large deformations in the roll profile, including the possibility that the rolls flatten completely. However, these models require computationally expensive iterative solution techniques. A new approach to the approximate solution of the Fleck et al. (1992) Influence Function Model has been developed using both analytic and approximation techniques. The numerical difficulties arising from solving an integral equation in the flattened region have been reduced by applying an Inverse Hilbert Transform to get an analytic expression for the pressure. The method described in this paper is applicable to cases where there is or there is not a flat region.