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为了提高现有的海上搜救和绿潮漂移预测模型的预报精度,在2011年7月20日进行了一次落水人员、绿潮和无动力船漂移预测的海上试验。通过分析这三种海上漂移物运移轨迹的实验数据,确立了落水人员、绿潮、以及无动力船在海上漂移轨迹的主要影响因素。实验结果表明,落水人员和绿潮的漂移轨迹比较一致,基本都受限制于海流运动。其中,落水人员相较于绿潮来说受到潮流的作用比较大,风对绿潮的影响相比对落水人员的影响大。无动力船的漂移轨迹与落水人员和绿潮的漂移轨迹略有不同,受潮流往复作用较小。根据海上实验的结果,我们重新确立了搜救模型的中海流和风应力的参数,使得搜救模型的模拟结果更吻合于实验数据。 相似文献
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为探讨海上搜救目标无动力渔船和落水人员在海水中的漂移规律,对现有海上搜救目标漂移轨迹预测模型进行评估与改进,国家海洋局南海海洋工程勘察中心于2011年2月和4月在广东近岸海域开展了3组模拟人和2组无动力船海上漂移试验。试验发现模拟人与无动力船大部分时刻的漂移轨迹位于下风向的右侧,80%以上的时刻漂移轨迹位于海流流向和下风向的矢量合成区间内。以漂移速度为应变量,流速和风速为自变量进行二元回归分析发现,广东海域的模拟人和无动力渔船的流致漂移参数约为1.0,风致漂移参数分别为0.019和0.038。 相似文献
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平潭近岸海域岸线曲折,周边岛礁众多,海底地形复杂,是福建省海难事故的高发区.本研究建立了平潭近岸海域海上目标物漂移轨迹的预测系统,该系统通过风场和流场的数值模型获取海面动力环境信息,采用拉格朗日算法实现对海上目标物漂移轨迹的预测追踪.其中海流模型采用ROMS（regional ocean modeling system）模型构建,模型水平方向上最高分辨率为100m,垂向上分为16层,并考虑干湿边界,以体现复杂海岸线和水深地形.通过验证分析,潮位、流速和流向的模拟平均绝对误差分别为0.20 m、0.12 m/s和26°.通过平潭近岸2个浮子实验,结果表明,浮子漂移过程中受潮流和局地地形的影响明显,对漂移模型在平潭近岸海域的适用性进行初步验证,浮子模拟轨迹与实际漂移过程基本吻合,模拟时段内最大偏差距离为2.8km,系统可以为平潭近岸海域海上突发事故应急决策提供参考. 相似文献
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以风场、三维海流场数值预报结果作为输入强迫,建立了赤潮漂移扩散数值预报模型,并开发了相应的软件模块。模块基于C/S(客户端/服务器端)架构,通过数值模拟技术以及GIS、WebServices等信息技术,实现"提交预报请求—数值模式计算—预报结果可视化—预报产品生成"自动化赤潮漂移与扩散预报工作流程。该预报模块具备数据预处理、人机交互参数输入、数值模式计算、预报结果可视化和预报产品制作功能。以长江口附近海域历史赤潮为例进行后报试验,预测了赤潮藻团在风与流场共同作用下的漂移路径变化,结果与实际监测情况一致。该模块的业务化应用能进一步完善现有的赤潮预报系统,将成为赤潮防灾减灾的有力工具。 相似文献
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探讨了壳寡糖及全乙酰壳寡糖的制备方法,通过正交实验考察了原料、温度、时间对降解产物的影响.制备了八种寡糖（八乙酰壳二糖、十一乙酰壳三糖、十四乙酰壳四糖和十七乙酰壳五糖,以及N,N′-二乙酰壳二糖、N,N′,N″-三乙酰壳三糖、N,N′,N″,N′′′四乙酰壳四糖和N,N′,N″,N′′′,N′′′′-五乙酰壳五糖）,并通过IR、NMR及MS等确定了其化学结构. 相似文献
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Adsorption and desorption of proteins and polyamino acids by clay minerals and marine sediments 总被引：1，自引：0，他引：1
The adsorption and desorption of proteins and polyamino acids on illite, montmorillonite, goethite, and marine sediments was investigated. Three 14C-labeled hydrophilic proteins, Rubisco from C. reinhardtii, and GroEL and GroES from genetically modified Escherichia coli, were synthesized and purified for this study. The proteins were strongly and rapidly adsorbed by the clay minerals and marine sediments, and much of the adsorbed protein was not readily desorbed. Sodium dodecyl sulfate (SDS) extraction and separation by SDS-polyacrylamide gel electrophoresis (PAGE) and sucrose density gradients showed that Rubisco and GroEL were adsorbed on illite and sediments in their original forms. The apparent adsorption partition coefficients of the proteins were on the order of 102 l/kg on illite, 103–104 l/kg on goethite and montmorillonite, and 200 and 75 l/kg on Skan Bay and Resurrection Bay (Alaska) sediments, respectively. These partition coefficients are sufficiently large to permit sedimentary protein preservation via an adsorptive mechanism. Generally, basic polyamino acids had greater adsorption partition coefficients than acidic polyamino acids. Molecular size did not affect the electrostatic interaction between polyamino acids and mineral surfaces. Adsorption of bovine serum albumin (BSA) and negatively charged polyamino acids inhibited Rubisco adsorption, while positively charged cytochrome c and polyamino acids increased Rubisco adsorption. These results indicate that electrostatic interactions dominated in protein adsorption. 相似文献
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Coastal and estuarine habitat mapping, using LIDAR height and intensity and multi-spectral imagery 总被引：3，自引：1，他引：2
Guillem Chust Ibon Galparsoro ngel Borja Javier Franco Adolfo Uriarte 《Estuarine, Coastal and Shelf Science》2008,78(4):633-643
The airborne laser scanning LIDAR (LIght Detection And Ranging) provides high-resolution Digital Terrain Models (DTM) that have been applied recently to the characterization, quantification and monitoring of coastal environments. This study assesses the contribution of LIDAR altimetry and intensity data, topographically-derived features (slope and aspect), and multi-spectral imagery (three visible and a near-infrared band), to map coastal habitats in the Bidasoa estuary and its adjacent coastal area (Basque Country, northern Spain). The performance of high-resolution data sources was individually and jointly tested, with the maximum likelihood algorithm classifier in a rocky shore and a wetland zone; thus, including some of the most extended Cantabrian Sea littoral habitats, within the Bay of Biscay. The results show that reliability of coastal habitat classification was more enhanced with LIDAR-based DTM, compared with the other data sources: slope, aspect, intensity or near-infrared band. The addition of the DTM, to the three visible bands, produced gains of between 10% and 27% in the agreement measures, between the mapped and validation data (i.e. mean producer's and user's accuracy) for the two test sites. Raw LIDAR intensity images are only of limited value here, since they appeared heterogeneous and speckled. However, the enhanced Lee smoothing filter, applied to the LIDAR intensity, improved the overall accuracy measurements of the habitat classification, especially in the wetland zone; here, there were gains up to 7.9% in mean producer's and 11.6% in mean user's accuracy. This suggests that LIDAR can be useful for habitat mapping, when few data sources are available. The synergy between the LIDAR data, with multi-spectral bands, produced high accurate classifications (mean producer's accuracy: 92% for the 16 rocky habitats and 88% for the 11 wetland habitats). Fusion of the data enabled discrimination of intertidal communities, such as Corallina elongata, barnacles (Chthamalus spp.), and stands of Spartina alterniflora and Phragmites australis, which presented misclassification when conventional visible bands were used alone. All of these results were corroborated by the kappa coefficient of agreement. The high classification accuracy found here, selecting data sources, highlights the value of integrating LIDAR data with multi-spectral imagery for habitat mapping in the intertidal complex fringe. 相似文献
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