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121.
Trine Bekkby Frithjof E. Moy Tone Kroglund Janne K. Gitmark Mats Walday Eli Rinde 《Marine Geodesy》2013,36(4):379-390
Mapping the seabed along the Norwegian coast is costly and time consuming. Hence, finding a modeling method to separate rocky seabed from other substrate types will provide digital maps that may be used to develop cost-effective sampling designs to predict species and habitat distribution. Our approach was to use geophysical data that were quantitative and objectively defined, generalized additive models (GAMs), and Akaike information criterion (AIC) to develop statistical models and select among them. We found that slope, terrain curvature, wave exposure, and depth predicted rocky seabed occurrence with a high degree of certainty. 相似文献
122.
几种鱼礁模型对真鲷诱集效果的研究 总被引:1,自引:0,他引:1
观察了真鲷(Pagrosomus major)对4种不同结构模型礁的行为反应,并对不同结构模型礁的诱集效果进行了比较,进而选择诱集效果最好的1种模型礁,研究该模型礁在不同光强下诱集效果的差异.实验结果表明:未投放礁时,真鲷在水槽中的分布无选择性,呈随机分布;而投礁后各种模型礁均能对真鲷产生诱集效果,真鲷在鱼礁标志区的分布率从6%提高到17.89%~21.50%,其中以表面积大且无孔的 D型模型礁的诱集效果最好;双模型礁投放后对真鲷的聚集率均在20%以上,其中表面积大且有孔的2个模型礁聚集率最大;随光强增强,真鲷的聚集率不断下降,研究发现这可能与真鲷的领域行为有很大关系. 相似文献
123.
Mineral prospectivity mapping is a classification process because in a given study area, a specific region is classified as either a prospective or non-prospective area. The cost of false negative errors differs from the cost of false positive errors because false positive errors lead to wasting much more financial and material resources, whereas false negative errors result in the loss of mineral deposits. Traditional machine learning algorithms using for mapping mineral prospectivity are aimed to minimize classification errors and ignore the cost-sensitive effects. In this study, the effects of misclassification costs on mapping mineral prospectivity are explored. The cost-sensitive neural network (CSNN) for minimizing misclassification costs is applied to map Fe polymetallic prospectivity in China’s southwestern Fujian metalorganic belt (SFMB). A CSNN with a different cost ratio ranging from 1:10 to 10:1 was used to represent various misclassification costs. The cross-validation results indicated a lower misclassification cost compared to traditional neural networks through a threshold-moving based CSNN. The CSNN’s predictive results were compared to those of a traditional neural network, and the results demonstrate that the CSNN method is useful for mapping mineral prospectivity. The targets can be used to further explore undiscovered deposits in the study area. 相似文献
124.
Smoothed particle hydrodynamics (SPH) is a meshfree, Lagrangian particle method which has advantages in handling solids with extremely large deformation. Like any other numerical methods, cares must be taken to ensure its desirable accuracy and stability through considering several correction techniques in calculation. The selection of values for parameters in those correction approaches is a key step in SPH simulation, which is always difficult for new beginners to deal well with effectively. This paper examines the common inconsistency and instability problems in SPH method and studies its computational efficiency when applied to hydrodynamics problems with material strength like soil column collapse. We analyzed in detail how the correction techniques mitigate these inconsistency and instability problems. Also, the numerical testing results associate with different values for the parameters used in the correction techniques are provided for better understanding the influence of these parameters and for finding out the desirable values. It is found that (1) the SPH method is easily subjected to an inconsistency problem in the boundary area due to the boundary deficiency, and it can be treated well by adopting “virtual particles” contributing to the particle summations. (2) The numerical oscillation in SPH simulation can be mitigated effectively by artificial viscosity with the suggested parameter values. (3) The tension cracking treatment, artificial viscosity and artificial stress work well in removing the tensile instability problem in SPH method. In addition, the nearest neighboring particle searching (NNPS) algorithm, spacing ratio, smoothing length and time step influence the efficiency and accuracy of SPH method significantly. It is shown that SPH method with suggested parameters values can produce a very good result compared with the experimental result. 相似文献
125.
冻融循环条件下生境基材中三种功能微生物数量变化规律研究 总被引:1,自引:1,他引:0
为揭示高寒地区典型生境基材中功能微生物数量变化的规律,以黄棕壤土为试验土样,在两种初始含水率条件下,分别制备客土、植被混凝土以及加菌植被混凝土三种不同类型的生境基材进行冻融循环模拟试验,探讨生境基材类型、初始含水率和冻融循环次数对基材中功能微生物数量的影响。试验结果显示:三种基材中功能微生物数量均受冻融循环影响显著,且随冻融循环次数增加总体呈"下降~上升~下降"趋势;冻融循环过程中,三种基材中功能微生物总量存在显著性差异,排序为:加菌植被混凝土 > 植被混凝土 > 客土,且固氮、解钾微生物数量显著低于解磷微生物;含水率为22%的基材中功能微生物总量普遍高于含水率为18%的基材。研究结果表明,加菌植被混凝土的肥力、抗冻性相比客土和植被混凝土有一定程度提升,但仍需对现有功能菌剂配方加以改进,以适应高寒地区冻融环境。 相似文献
126.
127.
Fatty acid profiles of benthic environment associated with artificial reefs in subtropical Hong Kong
Artificial reefs can enhance habitat heterogeneity, especially in seabed degraded by bottom-dredging and trawling. However, the trophodynamics of such reef systems are not well understood. This study provided baseline data on trophic relationships in the benthic environment associated with artificial reefs in late spring and mid summer of subtropical Hong Kong, using fatty acid profiles as an indicator. Data from sediments collected at the reef base, materials from sediment traps deployed on top and bottom of the reefs, total particulate matter from the water column and oyster tissues from reef surface were subjected to principal component analysis. Results showed variations of fatty acid profiles in the total particulate matter, upper sediment trap and oyster tissue samples collected in the two samplings, indicating seasonal, trophodynamic changes within the reef system. The wastes produced by fish aggregating at the reefs can also contribute a source of biodeposits to the nearby benthic environment. 相似文献
128.
129.
PAUL V. BOLSTAD PAUL GESSLER THOMAS M. LILLESAND 《International journal of geographical information science》2013,27(4):399-412
Digital map coordinates represent the locations of real world entities. As such, differences can exist between the ‘tru’ and digital database coordinates of those entities. This paper reports on a statistical characterization of positional error in manually-digitized and map-registered point data, the relative contribution of point type and operator to digitization error, and the effects of map media type on the positional uncertainty associated with registration. Manually-digitized point data were collected by four operators from mylar and paper maps. Point locations for a number of different feature types were sampled from United States Geological Survey (USGS) 1:24 000 scale maps. Linear models were used to estimate the variance components due to among-operator, map media, point type and registration effects. The statistical distribution of signed distance deviations for manually-digitized data was leptokurtic relative to a random normal variate. Unsigned deviations averaged 0-054 mm. Squared distance deviations were not different from a Chi-square random variate. Variance components indicate that among-operator differences in positional uncertainty were large and statistically significant, while differences among point type were small and non-significant. Signed distance deviations associated with a first-order afhne followed a normal distribution. Unsigned distance deviations associated with a first-order affinc transformation averaged 0068mm, and squared distance deviations were distributed as a Chi-square. Differences in transformation accuracy were not related to type of map media. 相似文献
130.
J. L. Silván‐Cárdenas L. Wang F. B. Zhan 《International journal of geographical information science》2013,27(3):295-318
The degree of uncertainty of many geographical objects has long been known to be in intimate relation with the scale of its observation and representation. Yet, the explicit consideration of scaling operations when modeling uncertainty is rarely found. In this study, a neural network‐based data model was investigated for representing geographical objects with scale‐induced indeterminate boundaries. Two types of neural units, combined with two types of activation function, comprise the processing core of the model, where the activation function can model either hard or soft transition zones. The construction of complex fuzzy regions, as well as lines and points, is discussed and illustrated with examples. It is shown how the level of detail that is apparent in the boundary at a given scale can be controlled through the degree of smoothness of each activation function. Several issues about the practical implementation of the model are discussed and indications on how to perform complex overlay operations of fuzzy maps provided. The model was illustrated through an example of representing multi‐resolution, sub‐pixel maps that are typically derived from remote sensing techniques. 相似文献