914 resultados para Spatial Variability
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表层土壤水分含量和饱和导水率对深层土壤水分的动态的变化具有重要的决定作用。在黄土高原坡地(50m×360 m)范围内进行网格(10 m×10 m)取样,用地统计学方法研究表层(0~30 cm)土壤饱和导水率和水分含量的空间变异特征。结果表明:1)坡地表层土壤密度变化规律为坡下位大于坡上位,土壤饱和导水率变异系数为0.37,属于中等变异强度;2)饱和导水率和自然对数化的饱和导水率在360 m尺度内均不具备空间结构特征,是纯随机变量,线性有基台模型适用于描述表层土壤水分的分布特征,水分分布存在明显的块金效应,并且随滞后距离的增加半方差变大;3)饱和导水率和水分含量从坡上位到坡下位均呈现波浪式变化,饱和导水率大的采样点土壤水分含量低,反之则高。
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本试验以科尔沁改良和退化草场为对象,以网格20 m × 20 m(140 ×140 m2),深度为0-20 cm,分两次取样,每次采集128个土样,对土壤养分空间变异状况进行系统研究。结果表明:改良草场土壤有机质、全氮、全磷的平均含量均大于退化草场;而碱解氮、速效磷以及交换性钾、钠、钙、镁的平均含量低于退化草场;8月份碱解氮、速效磷、交换性钾、钠、钙、镁的平均含量与4月份相比均有不同程度的降低。各向同性变异函数分析表明,土壤养分存在空间相关性;最佳理论模型为球状模型、指数模型和高斯模型;除全磷和4月份交换性钾外,改良草场土壤各养分指标的变程均大于退化草场。各向异性变异函数分析表明,改良和退化草场土壤各养分指标在不同方向上的空间自相关性主要受结构性因素的影响;不同取样时间对养分各向同性和各向异性最佳理论模型选择的影响比较小,而对变程的影响比较大,改良和退化草场土壤碱解氮、速效磷和交换性钾的变程8月份大于4月份。克里格插值制图直观地反映出改良和退化草场土壤养分的分布格局存在较大差异,退化草场土壤各养分指标的异质性高于改良草场,不同处理土壤碱解氮、速效磷、交换性钾、钠、钙、镁4月份的异质性强于8月份;结合克里格插值图取样可以最大程度地减少由随机取样的盲目性所带来的误差,从而提高了样本的代表性和准确性。
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土壤水力特性的空间变异和尺度效应近年来受到广泛关注。本研究以半干旱区(辽宁省阜新县)大片农田(面积20hm2)为对象,根据土壤物理性质拟合持水特性的转换函数,应用地统计学定量化持水特性的空间变异特征,并将多重分形和小波理论相结合,从奇异性和分辨率的角度探讨水力特性的尺度效应。 采用基于3级土壤颗粒的线性回归(MLR3)、非线性回归(ENR3)和基于7级颗粒的线性回归(MLR7)等3种方法拟合土壤持水特性的转换函数,并评价它们描述空间变异特征的效率,结果表明:详细颗粒模型比简单颗粒模型精度更高,非线性回归亦能提高一定的预测精度;对半方差函数来说,线性回归的结构性方差大(结构性较好),非线性回归结构性较差,详细颗粒不能增加结构性方差,因此精度高的转换函数不一定能更好表达水力特性的空间异质性。 采用多重分形方法分析了水力特性基于奇异性的多重尺度规律,结果表明:导水率、有机碳含量、粘粒含量、萎蔫系数、VG参数α和θr有多重分形特征,其它特性为单一分形;水力特性与物理性质之间的关系在单一尺度和多重尺度下会产生较大的变化,这是因为影响它们之间关系的因素随之发生了变化。 应用小波分析揭示出水力特性基于分辨率的尺度规律,结果表明:水力特性的波谱能量(方差)具有尺度和空间位置的依赖性;物理性质与水力特性之间的相关性随尺度变化而变化,仅在一定尺度(分辨率)上有效,且这种关系依赖于空间位置。尺度效应的研究对空间变异的取样具有一定指导作用。
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采用方格网取样,利用经典统计学和地统计学方法,研究了三种不同观测尺度共5个研究区域,总面积为3.12km2褐土耕层土壤机械组成的空间变异性。经典统计特征量表明,不同尺度下褐土耕层土壤机械组成的样本数据存在着不同的差异性。变异函数结构分析显示,土壤机械组成的空间变异在各方向上具有不同变率,但均可通过线性变换而转换为各向同性的统一结构,属于几何各向异性结构;不同观测尺度上有着不同的空间结构特征,对不同空间结构的区域化变量确定了不同的理论模型参数,并绘制克立格图,给出不同观测尺度下满足独立取样的合理取样数目。较清晰地阐明了褐土耕层机械组成在不同尺度上的空间分布规律。为该地区其它土壤性质的空间变异性研究提供理论依据,并为精准农业土壤信息库提供参考。尝试应用地统计学方法对不同尺度进行外推估值,发现在不同观测尺度和不同地形条件下,不同观测变量有着不同的标准差临界值及最大外推估值尺度,外推估值方差随着外推尺度的增大而增大。运用地统计学外推估值可为解决尺度扩展提供一种有效的解决途径。
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对 2 4 m× 2 4 m面积内的 49个观测点进行了土壤含水量和坚实度的空间变异性研究。根据测定结果 ,用经典统计方法计算了均值、标准差、变异系数等统计特征值 ,认为该法不能定量的描述土壤特性的空间变异性。于是 ,用分形理论计算了含水量与坚实度的分形维数。结果表明 ,在一定范围内 ,土壤具有分形特征 ,分形维数可表示土壤特性在空间的不均一程度
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应用时空互代方法,以柠条林为例,对黄土丘陵沟壑区不同利用年限人工林土壤养分特征、空间变异及其演变进行了系统的研究。结果表明,该区人工林土壤肥力处于较低水平;人工林表层土壤养分中速效磷和速效钾的空间变异性较大;各环境因子对土壤养分有一定的影响,海拔、坡度和坡向等环境因子与人工林地土壤养分间呈负相关关系,坡位和地形与人工林地土壤养分间呈正相关关系。随着利用年限的增加,人工林土壤养分各指标含量均增加,与利用年限有显著的相关性。有机质、全氮、有效氮和速效磷的增加量不明显,全磷含量保持相对稳定的水平,速效钾经过多年积累有明显的增加。从土壤养分指数模型可以算出该区的人工林土壤有机质、全氮、有效氮约需35a能达到中上等养分水平,速效钾则约需27a才能达到中上等养分水平。
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为掌握不同土地利用方式下坡面土壤含水率的空间分布特征及其变异规律,利用经典统计学方法对黄土高原水蚀风蚀交错带草地和农地坡面土壤含水率的空间变异性进行了对比研究。结果表明:草地和农地的土壤含水率均值在同一土层深度下差异极显著,但二者在垂直方向、坡长方向的变异程度均为中等变异程度;草地和农地坡面土壤含水率的垂直变化特征不同,前者为降低型,后者在100 cm以上为波动型,以下为稳定型;草地和农地坡面土壤含水率均随坡长的增加呈波浪式变化规律,整体上有增加趋势;将坡面划分为5个坡长或将土层划分为4层以后,草地和农地坡面土壤含水率沿垂直方向、坡长方向的总体变化趋势均没有改变,但由于尺度的扩展获得了一些较大尺度上的水分信息。
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Terrigenous components were separated from the bulk sediment of Core A7 from the Okinawa Trough and Core A37 from the Ryukru Trench and grain-size distributions of these sub-samples were analyzed. Based upon an analysis of the grain-size data of the two sedimentary sequences, grain-size populations are identified to be sensitive to sedimentary environmental changes. The modal values and size ranges of the two main grain-size populations in Core A7 are evidently different from those of Core A37, indicating the spatial variability of sediment sources and transport processes between the two places. The downcore variations in the content of the environmentally sensitive grain-size populations reveal that during the accumulation of sedimentary material the environment remained relatively stable at the site where Core A7 was collected, except for the apparent events for the formation of two turbidite layers and a volcanic ash layer. However, the sedimentary sequence of Core A37 shows six sedimentary cycles, indicating a highly variable sedimentary environment at this location.
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Suspended Particulate Matter (SPM) concentrations at various levels within the water column, together with salinity and temperature, were measured using water samples collected from six stations across the Straits of Dover. The sampling programme covered a 16-month period, undertaken during 23 cruises. On the basis of the spatial variability in the concentrations, the water bodies are divided by several boundaries, controlled by tidal and wind conditions. Within the water column, SPM concentrations were higher near the sea bed than in the surface waters. Throughout the cross-section, maximum concentrations occurred adjacent to the coastlines. Temporal variability in the SPM concentration exists on daily and seasonal scales within the coastal waters (4.2 to 74.5 mg L-1): resuspension processes, in response to semi-diurnal tidal cycles (with a period of around 12.4 h) and spring-neap cycles (with a period of 15 days) make significant contributions. Distinctive seasonal/annual concentration changes have also been observed. In the offshore waters, such variability is much less significant (0.9 to 6.0 mg L-1). In the summer the English Coastal Zone is associated with relatively high SPM concentrations: the Central Zone has a low and stable SPM concentration between these zones, there is a Transitional Zone, where there is a rapid response of SPM concentration to wind forcing. Finally, the French Coastal Zone is characterized by variable (sometimes high) SPM concentrations. Because of the zonation, SPM fluxes within the Dover Strait are controlled by different transport mechanisms. Within the Central Zone, the flux can be represented by the product of mean water discharges and SPM concentrations. However, within the coastal zones fluctuations in SPM concentrations on various time-scales must be considered. In order to calculate the maximum and minimum SPM fluxes, 10 cells were divided in the strait. A simple modelling calculation has been proposed for this complex area. The effect of spring-neap tidal cycles and seasonal changes can contribute significantly to the overall flux, which is of the order of 20 x 10(6) t.yr(-1) (through the Dover Strait, towards the North Sea). Such an estimate is higher than most obtained previously. (C) 2000 Ifremer/CNRS/IRD/Editions scientifiques et medicales Elsevier SAS.
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The late stage of the North East Atlantic (NEA) spring bloom was investigated during June 2005 along a transect section from 45 to 66 degrees N between 15 and 20 degrees W in order to characterize the contribution of siliceous and calcareous phytoplankton groups and describe their distribution in relation to environmental factors. We measured several biogeochemical parameters such as nutrients, surface trace metals, algal pigments, biogenic silica (BSi), particulate inorganic carbon (PIC) or calcium carbonate, particulate organic carbon, nitrogen and phosphorus (POC, PON and POP, respectively), as well as transparent exopolymer particles (TEP). Results were compared with other studies undertaken in this area since the JGOFS NABE program. Characteristics of the spring bloom generally agreed well with the accepted scenario for the development of the autotrophic community. The NEA seasonal diatom bloom was in the late stages when we sampled the area and diatoms were constrained to the northern part of our transect, over the Icelandic Basin (IB) and Icelandic Shelf (IS). Coccolithophores dominated the phytoplankton community, with a large distribution over the Rockall-Hatton Plateau (RHP) and IB. The Porcupine Abyssal Plain (PAP) region at the southern end of our transect was the region with the lowest biomass, as demonstrated by very low Chla concentrations and a community dominated by picophytoplankton. Early depletion of dissolved silicic acid (DSi) and increased stratification of the surface layer most likely triggered the end of the diatom bloom, leading to coccolithophore dominance. The chronic Si deficiency observed in the NEA could be linked to moderate Fe limitation, which increases the efficiency of the Si pump. TEP closely mirrored the distribution of both biogenic silica at depth and prymnesiophytes in the surface layer suggesting the sedimentation of the diatom bloom in the form of aggregates, but the relative contribution of diatoms and coccolithophores to carbon export in this area still needs to be resolved.
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We examined the CO2 exchange of a Kobresia meadow ecosystem on the Qinghai-Tibetan plateau using a chamber system. CO2 efflux from the ecosystem was strongly dependence on soil surface temperature. The COZ efflux-temperature relationship was identical under both light and dark conditions, indicating that no photosynthesis could be detected under light conditions during the measurement period. The temperature sensitivity (Q(10)) of the COZ efflux showed a marked transition around -1.0 degrees C; Q(10) was 2.14 at soil surface temperatures above and equal to -1.0 degrees C but was 15.3 at temperatures below -1.0 degrees C. Our findings suggest that soil surface temperature was the major factor controlling winter COZ flux for the alpine meadow ecosystem and that freeze-thaw cycles at the soil surface layer play an important role in the temperature dependence of winter CO2 flux. (c) 2005 Elsevier Ltd. All rights reserved.
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Wydział Biologii
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The objective of spatial downscaling strategies is to increase the information content of coarse datasets at smaller scales. In the case of quantitative precipitation estimation (QPE) for hydrological applications, the goal is to close the scale gap between the spatial resolution of coarse datasets (e.g., gridded satellite precipitation products at resolution L × L) and the high resolution (l × l; L»l) necessary to capture the spatial features that determine spatial variability of water flows and water stores in the landscape. In essence, the downscaling process consists of weaving subgrid-scale heterogeneity over a desired range of wavelengths in the original field. The defining question is, which properties, statistical and otherwise, of the target field (the known observable at the desired spatial resolution) should be matched, with the caveat that downscaling methods be as a general as possible and therefore ideally without case-specific constraints and/or calibration requirements? Here, the attention is focused on two simple fractal downscaling methods using iterated functions systems (IFS) and fractal Brownian surfaces (FBS) that meet this requirement. The two methods were applied to disaggregate spatially 27 summertime convective storms in the central United States during 2007 at three consecutive times (1800, 2100, and 0000 UTC, thus 81 fields overall) from the Tropical Rainfall Measuring Mission (TRMM) version 6 (V6) 3B42 precipitation product (~25-km grid spacing) to the same resolution as the NCEP stage IV products (~4-km grid spacing). Results from bilinear interpolation are used as the control. A fundamental distinction between IFS and FBS is that the latter implies a distribution of downscaled fields and thus an ensemble solution, whereas the former provides a single solution. The downscaling effectiveness is assessed using fractal measures (the spectral exponent β, fractal dimension D, Hurst coefficient H, and roughness amplitude R) and traditional operational scores statistics scores [false alarm rate (FR), probability of detection (PD), threat score (TS), and Heidke skill score (HSS)], as well as bias and the root-mean-square error (RMSE). The results show that both IFS and FBS fractal interpolation perform well with regard to operational skill scores, and they meet the additional requirement of generating structurally consistent fields. Furthermore, confidence intervals can be directly generated from the FBS ensemble. The results were used to diagnose errors relevant for hydrometeorological applications, in particular a spatial displacement with characteristic length of at least 50 km (2500 km2) in the location of peak rainfall intensities for the cases studied. © 2010 American Meteorological Society.
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The objective of this paper is to demonstrate an approach to characterize the spatial variability in ambient air concentrations using mobile platform measurements. This approach may be useful for air toxics assessments in Environmental Justice applications, epidemiological studies, and environmental health risk assessments. In this study, we developed and applied a method to characterize air toxics concentrations in urban areas using results of the recently conducted field study in Wilmington, DE. Mobile measurements were collected over a 4- x 4-km area of downtown Wilmington for three components: formaldehyde (representative of volatile organic compounds and also photochemically reactive pollutants), aerosol size distribution (representing fine particulate matter), and water-soluble hexavalent chromium (representative of toxic metals). These measurements were,used to construct spatial and temporal distributions of air toxics in the area that show a very strong temporal variability, both diurnally and seasonally. An analysis of spatial variability indicates that all pollutants varied significantly by location, which suggests potential impact of local sources. From the comparison with measurements at the central monitoring site, we conclude that formaldehyde and fine particulates show a positive correlation with temperature, which could also be the reason that photochemically generated formaldehyde and fine particulates over the study area correlate well with the fine particulate matter measured at the central site.
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Ambient sampling for the Pittsburgh Air Quality Study (PAQS) was conducted from July 2001 to September 2002. The study was designed (1) to characterize particulate matter (PM) by examination of size, surface area, and volume distribution, chemical composition as a function of size and on a single particle basis, morphology, and temporal and spatial variability in the Pittsburgh region; (2) to quantify the impact of the various sources (transportation, power plants, biogenic sources, etc.) on the aerosol concentrations in the area; and (3) to develop and evaluate the next generation of atmospheric aerosol monitoring and modeling techniques. The PAQS objectives, study design, site descriptions and routine and intensive measurements are presented. Special study days are highlighted, including those associated with elevated concentrations of daily average PM2.5 mass. Monthly average and diurnal patterns in aerosol number concentration, and aerosol nitrate, sulfate, elemental carbon, and organic carbon concentrations, light scattering as well as gas-phase ozone, nitrogen oxides, and carbon monoxide are discussed with emphasis on the processes affecting them. Preliminary findings reveal day-to-day variability in aerosol mass and composition, but consistencies in seasonal average diurnal profiles and concentrations. For example, the seasonal average variations in the diurnal PM2.5 mass were predominately driven by the sulfate component. © 2004 Elsevier Ltd. All rights reserved.