上海沿岸天文潮与风暴潮非线性相互作用的数值研究   总被引：10，自引：0，他引：10  

端义宏  秦曾灏 《海洋与湖沼》1997,28(1):80-87

运用二维非线性风暴潮，天文潮和联合水位模型８次不同路径的热带气旋引起的上海地区天文潮与风暴潮的非线性相互作用进行了数值研究，讨论了天文潮气与风暴潮非线性相互作用引起的增水特征，分析了控制方程中各非线性项对天文潮与风暴晨线性相互作用引起水位变化的贡献，研究表明，考虑天文潮与风暴的非线性相互作用后，使风暴潮和水位的数值模拟结果得到了改善，非线性底摩擦在控制天文潮和风暴潮非线性相互作用中起重要的作用。而  相似文献   

极坐标变换变边界模型及其应用   总被引：6，自引：1，他引：6  

史峰岩  孙文心 《海洋与湖沼》1995,26(4):369-376

Ｊｏｈｎｓ变边界模型用于海湾海域风暴潮漫滩计算是，由于岸界变曲较大，而影响了计算的稳定性和精度，本文针对这个问题，导出了极坐标下的连续移动边界模型，从而改善了对岸界弯曲较大海域的风暴潮漫滩计算，通过对１９６９年黄河口沿岸一带水域风暴潮漫滩的模拟，证明这种极坐标变边界模型用于海湾海域的风暴潮漫滩计算，优于Ｊｏｈｎｓ变边界模型。  相似文献   

渤海海流概况及其输沙作用初析     

顾玉荷  修日晨 《海洋科学进展》1996,(1)

本文讨论了渤海及黄河口附近海域的海洋动力状况，潮流和风暴急流是输送黄河入海泥沙的主要动力。  相似文献   

Optimizing the reservoir operating rule curves by genetic algorithms     

Fi‐John Chang  Li Chen  Li‐Chiu Chang 《水文研究》2005,19(11):2277-2289

Genetic algorithms, founded upon the principle of evolution, are applicable to many optimization problems, especially popular for solving parameter optimization problems. Reservoir operating rule curves are the most common way for guiding and managing the reservoir operation. These rule curves traditionally are derived through intensive simulation techniques. The main aim of this study is to investigate the efficiency and effectiveness of two genetic algorithms (GAs), i.e., binary coded and real coded, to derive multipurpose reservoir operating rule curves. The curves are assumed to be piecewise linear functions where the coordinates of their inflection points are the unknowns and we want to optimize system performance. The applicability and effectiveness of the proposed methods are tested on the operation of the Shih‐Men reservoir in Taiwan. The current M‐5 operating curves of the Shih‐Men reservoir are also evaluated. The results show that the GAs provide an adequate, effective and robust way for searching the rule curves. Both sets of operating rule curves obtained from GAs have better performance, in terms of water release deficit and hydropower, than the current M‐5 operating rule curves, while the real‐coded GA is more efficient than the binary‐coded GA. Copyright © 2005 John Wiley & Sons, Ltd.  相似文献   

Single‐and multi‐objective genetic algorithm optimization for identifying soil parameters     

A. Papon  Y. Riou  C. Dano  P.‐Y. Hicher 《国际地质力学数值与分析法杂志》2012,36(5):597-618

This paper discusses the quality of the procedure employed in identifying soil parameters by inverse analysis. This procedure includes a FEM‐simulation for which two constitutive models—a linear elastic perfectly plastic Mohr–Coulomb model and a strain‐hardening elasto‐plastic model—are successively considered. Two kinds of optimization algorithms have been used: a deterministic simplex method and a stochastic genetic method. The soil data come from the results of two pressuremeter tests, complemented by triaxial and resonant column testing. First, the inverse analysis has been performed separately on each pressuremeter test. The genetic method presents the advantage of providing a collection of satisfactory solutions, among which a geotechnical engineer has to choose the optimal one based on his scientific background and/or additional analyses based on further experimental test results. This advantage is enhanced when all the constitutive parameters sensitive to the considered problem have to be identified without restrictions in the search space. Second, the experimental values of the two pressuremeter tests have been processed simultaneously, so that the inverse analysis becomes a multi‐objective optimization problem. The genetic method allows the user to choose the most suitable parameter set according to the Pareto frontier and to guarantee the coherence between the tests. The sets of optimized parameters obtained from inverse analyses are then used to calculate the response of a spread footing, which is part of a predictive benchmark. The numerical results with respect to both the constitutive models and the inverse analysis procedure are discussed. Copyright © 2011 John Wiley & Sons, Ltd.  相似文献   

INTELLIGENT ALGORITHMS FOR SOLVING CNOP AND THEIR APPLICATIONS IN ENSO PREDICTABILITY AND TROPICAL CYCLONE ADAPTIVE OBSERVATIONS     

穆斌  张琳琳  袁时金  钱一闻  温仕成  颜景豪  周菲凡 《热带气象学报(英文版)》2019,25(1):63-81

Some intelligent algorithms (IAs) proposed by us, including swarm IAs and single individual IAs, have been applied to the Zebiak-Cane (ZC) model to solve conditional nonlinear optimal perturbation (CNOP) for studying El Ni?o – Southern Oscillation (ENSO) predictability. Compared to the adjoint-based method (the ADJ-method), which is referred to as a benchmark, these IAs can achieve approximate CNOP results in terms of magnitudes and patterns. Using IAs to solve CNOP can avoid the use of an adjoint model and widen the application of CNOP in numerical climate and weather modeling. Of the proposed swarm IAs, PCA-based particle swarm optimization (PPSO) obtains CNOPs with the best patterns and the best stability. Of the proposed single individual IAs, continuous tabu search algorithm with sine maps and staged strategy (CTS-SS) has the highest efficiency. In this paper, we compare the validity, stability and efficiency of parallel PPSO and CTS-SS using these two IAs to solve CNOP in the ZC model for studying ENSO predictability. The experimental results show that CTS-SS outperforms parallel PPSO except with respect to stability. At the same time, we are also concerned with whether these two IAs can effectively solve CNOP when applied to more complicated models. Taking the sensitive areas identification of tropical cyclone adaptive observations as an example and using the fifth-generation mesoscale model (MM5), we design some experiments. The experimental results demonstrate that each of these two IAs can effectively solve CNOP and that parallel PPSO has a higher efficiency than CTS-SS. We also provide some suggestions on how to choose a suitable IA to solve CNOP for different models.  相似文献   

Damage Identification of A TLP Floating Wind Turbine by Meta-Heuristic Algorithms     

M. M. Ettefagh 《海洋工程》2015,29(6):891-902

Damage identification of the offshore floating wind turbine by vibration/dynamic signals is one of the important and new research fields in the Structural Health Monitoring (SHM). In this paper a new damage identification method is proposed based on meta-heuristic algorithms using the dynamic response of the TLP (Tension-Leg Platform) floating wind turbine structure. The Genetic Algorithms (GA), Artificial Immune System (AIS), Particle Swarm Optimization (PSO), and Artificial Bee Colony (ABC) are chosen for minimizing the object function, defined properly for damage identification purpose. In addition to studying the capability of mentioned algorithms in correctly identifying the damage, the effect of the response type on the results of identification is studied. Also, the results of proposed damage identification are investigated with considering possible uncertainties of the structure. Finally, for evaluating the proposed method in real condition, a 1/100 scaled experimental setup of TLP Floating Wind Turbine (TLPFWT) is provided in a laboratory scale and the proposed damage identification method is applied to the scaled turbine.  相似文献   

资源三号卫星影像融合算法对比分析   总被引：2，自引：0，他引：2  

王华斌  李国元  张本奎  窦显辉 《测绘科学》2015,40(1):47-51

我国第一颗高精度民用立体测绘卫星——资源三号卫星搭载了2.1m分辨率的全色相机和5.8m分辨率的多光谱相机,针对资源三号影像研究有效的影像融合算法对于提高资源三号的影像质量和应用范围具有很大意义。文章分析了Pansharp、Gram-Schmidt、Modified IHS、改进的SFIM和Brovey 5种融合算法,梳理了影像融合的质量评价指标体系,采用资源三号卫星影像覆盖的农田、城区、林地、裸地等不同类型的区域开展几种融合算法试验,并对试验结果进行了分析评价。实验结果表明,5种融合算法中,Pansharp融合算法对资源三号影像数据融合效果最优,Gram-Schmidt融合算法次之,其次为Modified IHS影像融合算法,改进的SFIM融合算法和Brovey融合算法融合效果较差。  相似文献   

The magnetospheric boundary motion during the main phase of the moderate magnetic storm (case study)     

N.S. Nikolaeva  V.A. Parkhomov  N.L. Borodkova  Yu.I. Yermolaev 《Planetary and Space Science》2007,55(15):2299-2309

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Storm-related sea level variations along the North Sea coast as simulated by a high-resolution model 1958–2002     

Ralf Weisse  Andreas Plüβ 《Ocean Dynamics》2006,56(1):16-25

Storm-related sea level variations 1958–2002 along the North Sea coast from a high-resolution numerical hindcast are investigated and compared to the results of earlier studies. Considerable variations were found from year to year and over the entire period. The large-scale pattern of these variations is consistent with that derived from previous studies, while the magnitudes of the long-term trends differ. The latter is attributed to different analysis periods, improvements in the atmospheric forcing, and the enhanced spatial resolution of the numerical simulation. It is shown that the different analysis periods, in particular, represent an issue as the increase in storm-related sea levels was found to be weaker over the last few years that have not been included in earlier studies. These changes are consistent with observed changes of the storm climate over the North Sea. It is also shown that observed and hindcast trends may differ significantly. While the latter are in agreement with observed changes in the storm climate, it may be concluded that observed sea level changes along the North Sea coast comprise a considerable fraction that cannot be attributed to changes in the large-scale atmospheric circulation.

Ralf WeisseEmail:

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