排序方式: 共有26条查询结果,搜索用时 109 毫秒
11.
A Bayesian hierarchical modeling approach for analyzing observational data from marine ecological studies 总被引:1,自引:0,他引:1
Song S. Qian J. Kevin Craig Melissa M. Baustian Nancy N. Rabalais 《Marine pollution bulletin》2009,(12):1916-1921
We introduce the Bayesian hierarchical modeling approach for analyzing observational data from marine ecological studies using a data set intended for inference on the effects of bottom-water hypoxia on macrobenthic communities in the northern Gulf of Mexico off the coast of Louisiana, USA. We illustrate (1) the process of developing a model, (2) the use of the hierarchical model results for statistical inference through innovative graphical presentation, and (3) a comparison to the conventional linear modeling approach (ANOVA). Our results indicate that the Bayesian hierarchical approach is better able to detect a “treatment” effect than classical ANOVA while avoiding several arbitrary assumptions necessary for linear models, and is also more easily interpreted when presented graphically. These results suggest that the hierarchical modeling approach is a better alternative than conventional linear models and should be considered for the analysis of observational field data from marine systems. 相似文献
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沉积物粒度参数和频率曲线对粒级划分的响应 总被引:3,自引:0,他引:3
以Φ、Φ/2、Φ/4为粒级间距,分别采用Folk-Ward图解法和Mc Manus矩法计算了粉砂质砂、黏土质粉砂、砂-粉砂-黏土等3类沉积物共136个底质样品的粒度参数,并引用统计学中的单因素方差分析法对每一类沉积物的每一个粒度参数进行分间距计算结果对比。结果表明,各类沉积物在各种计算方法中粒级划分对粒度参数表征粒度分布特征均不构成影响。但粒度频率曲线形态随粒级间距的不同会有变化,同一粒径所对应的频率值在不同粒级间距下有较大差异。因此,在进行动力条件和沉积环境等研究时,必须对粒级间距在粒度分析中的影响给予足够重视。在进行粒度分析时,如果只求粒度参数,采用Φ间距即可,这样可以减小工作量;如果研究沉积环境,建议采用Φ/4间距。 相似文献
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Ronghui Zheng Chao Fang Fukun Hong Weiming Kuang Yulu Jiang Jincan Chen Yusheng Zhang Jun Bo 《海洋学报(英文版)》2022,41(12):105-114
Polycyclic aromatic hydrocarbons (PAHs) pollution, particularly in coastal environments, is a global concern. In this study, the biomonitoring and ranking effects of PAHs in the rockfish Sebastiscus marmoratus were determined in the Maowei Sea, China. The results showed that the concentrations of the 16 priority PAHs detected in the surface seawater were moderate compared with those in other coastal areas worldwide, and the possible sources were rapid industrialization and urbanization combined with atmospheric deposition and runoff. Nested analysis of variance (ANOVA) suggested significant differences in the hepatic ethoxyresorufin-O-deethylase (EROD) activities and phenanthrene-derived metabolites in bile between the port area and the oyster farming area. The fish expert system (FES) was applied to evaluate the biological effects of PAHs on fish. The FES data demonstrated that the biological effect levels of Site S1 (level III, medium stress) were higher than those of the other sampling sites (level II, low stress). 相似文献
14.
The application of several chemometric topics in connection with an environmental study is described.Atwo-way ANOVA is used to show the irregularity of the distribution of heavy metals in the rural soilsaround a lead smelter.Multivariate statistical methods are also applied to show significant correlationsbetween metals and the wind direction.Principal components analysis and Varimax rotation seem toconfirm the validity of the conclusions. 相似文献
15.
Asheka Rahman Frank T-C. Tsai Christopher D. White Douglas A. Carlson Clinton S. Willson 《Hydrogeology Journal》2008,16(4):749-764
Data integration is challenging where there are different levels of support between primary and secondary data that need to
be correlated in various ways. A geostatistical method is described, which integrates the hydraulic conductivity (K) measurements and electrical resistivity data to better estimate the K distribution in the Upper Chicot Aquifer of southwestern Louisiana, USA. The K measurements were obtained from pumping tests and represent the primary (hard) data. Borehole electrical resistivity data
from electrical logs were regarded as the secondary (soft) data, and were used to infer K values through Archie’s law and the Kozeny-Carman equation. A pseudo cross-semivariogram was developed to cope with the resistivity
data non-collocation. Uncertainties in the auto-semivariograms and pseudo cross-semivariogram were quantified. The groundwater
flow model responses by the regionalized and coregionalized models of K were compared using analysis of variance (ANOVA). The results indicate that non-collocated secondary data may improve estimates
of K and affect groundwater flow responses of practical interest, including specific capacity and drawdown.
Résumé L’intégration de données entre en jeu lorsque plusieurs niveaux intermédiaires d’assistance sont nécessaires pour corréler données primaires et secondaires de diverses manières. Le présent article décrit une méthode géostatistique qui intègre les mesures de conductivité hydraulique (K) et les données de résistivité électrique, afin d’estimer plus efficacement la distribution de K dans l’Aquifère Supérieur de Chicot, au sud-ouest de la Louisiane (Etats-Unis). Les mesures de K sont issues des pompages d’essai et représentent les données primaires (“dures”). Les données des diagraphies de résistivité électrique ont été considérées comme des données secondaires (“molles”), à partir desquelles les valeurs de K ont été déduites, par la loi d’Archie et l’équation de Kozeny-Carman. Un pseudo semi-variogramme croisé a été développé afin de pallier à l’absence de colocalisation des données de résistivité. Les incertitudes sur les semi-variogrammes automatiques et sur les pseudo semi-variogrammes croisés ont été quantifiées. Les réponses du modèle d’écoulement des eaux souterraines aux modèles régionalisés et co-régionalisés de K ont été comparés, par les analyses de variance (ANOVA). Les résultats montrent que les données secondaires non-colocalisées peuvent améliorer les estimations de K, et affecter efficacement les réponses des écoulements souterrains, y compris les débits spécifiques et les rabattements.
Resumen La integración de datos es un gran desafío cuando existen diferentes niveles de apoyo entre datos primarios y secundarios que es necesario correlacionar de varias maneras. Se describe un método geoestadístico el cual integra mediciones de conductividad hidráulica (K) y datos de resistividad eléctrica para tener una mejor estimación de la distribución de K en el Acuífero Chicot Superior del suroeste de Luisiana, Estados Unidos de América. Las mediciones de K se obtuvieron de pruebas de bombeo y representan los datos primarios (duros). Los datos de sondeos de resistividad eléctrica se consideraron como datos secundarios (suaves) y se usaron para inferir valores de K a través de la ley de Archie y la ecuación de Carman-Kozeny. Se desarrolló un pseudo semivariograma cruzado para enfrentar la falta de colocación de datos de resistividad. Se cuantificaron las incertidumbres en los auto-semivariogramas y en los semivariogramas cruzados. Las respuestas del modelo de flujo de agua subterránea por los modelos coregionalizados y regionalizados de K se compararon usando el análisis de varianza (ANOVA). Los resultados indican que los datos secundarios no colocados pueden mejorar los estimados de K y afectar las respuestas de flujo de agua subterránea de interés práctico, incluyendo capacidad específica y descenso.相似文献
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北方生态脆弱区农户兼业对耕地利用的影响(英文) 总被引:1,自引:0,他引:1
当前我国农户兼业现象十分普遍。本文基于在内蒙古太仆寺旗的农户调查数据,采用单因素方差分析法,对生态脆弱区农户兼业及其对耕地利用的影响进行了研究。结果表明:当前研究区农业劳动力非农就业和农户兼业现象十分突出,而兼业程度不同的农户,其经营土地的方式差异明显。非农就业户通过将其土地转给其他农户而脱离了农业耕作,这同时满足了其他农户扩大土地经营面积的愿望。种植结构差异不大,均体现为劳动生产率高的作物具有优势;对于有耕地利用行为的纯农业户、I兼型农户和II兼型农户,随着兼业程度的增加,物质投入增加,说明农户兼业使其资金约束减小,增加了资金投入能力,但是在劳动力约束下,兼业农户的劳动力投入减少,且务农劳动力"妇女化"、"老龄化"和"文化低"等现象突出;作物单产和土地净收益纯农业户大于兼业农户,说明劳动投入对土地产出更为重要。文章最后认为建立农业劳动力非农就业与耕地利用相互协调的机制,是解决生态脆弱区生态安全与农业生产之间矛盾的重要途径。 相似文献
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为了解不同环境因素对水库内直链藻(Melosira)垂向分布的影响程度, 作者利用自制沉降柱实验模拟不同光照、水动力以及降雨条件对水中直链藻垂向分布的影响。通过单因素方差分析实验数据表明光照和降雨条件的改变对上浮区内直链藻的垂向分布具有显著影响, 底部出流流量的改变对下沉区内直链藻的垂向分布具有显著影响。随着水深的增加, 光照和降雨对水中直链藻垂向分布的影响减弱而水动力则对其影响增强。同时还验证了直链藻具有较强的趋光性, 宜在低光强环境内生长, 模拟测得其最适光强在3 000 lx 左右; 降雨对水中直链藻的垂向分布起到抑制作用, 降雨强度越大水中直链藻就越偏离水体表面; 在底部出流流量影响范围内, 随着出流流量的增大水中直链藻就越向水动力改变处聚集且稳定时间越短。 相似文献
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A two-step sensitivity analysis for hydrological signatures in Jinhua River Basin,East China 总被引:1,自引:1,他引:0
Parameter calibration and sensitivity analysis (SA) are usually not straightforward tasks for distributed hydrological models, owing to the complexity of models and the large number of parameters. A two-step SA approach is proposed for analysing hydrological signatures based on the distributed hydrology–soil–vegetation model (DHSVM) in the Jinhua River Basin, East China. A preliminary SA is conducted to obtain influential parameters via analysis of variance. These parameters are further analysed through a variance-based global sensitivity analysis method to achieve robust rankings and parameter contributions. Parallel computing is designed to reduce the computational burden. The results reveal that only a few parameters are significantly sensitive and that interactions between parameters cannot be ignored. When analysing hydrological signatures, it is found that water yield is simulated very well for most samples. Small and medium floods are simulated very well, while slight underestimations happen for large floods. 相似文献
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The complexity of the relationships between environmental factors and organisms can be revealed by sampling designs which consider the contribution to variability of different temporal and spatial scales, compared to total variability. From a management perspective, a multi-scale approach can lead to time-saving. 相似文献