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151.
Mattia Aleardi 《Geophysical Prospecting》2019,67(2):331-348
We use Legendre polynomials to reparameterize geophysical inversions solved through a particle swarm optimization. The subsurface model is expanded into series of Legendre polynomials that are used as basis functions. In this framework, the unknown parameters become the series of expansion coefficients associated with each polynomial. The aim of this peculiar parameterization is threefold: efficiently decreasing the number of unknowns, inherently imposing a 1D spatial correlation to the recovered subsurface model and searching for maximally decoupled parameters. The proposed approach is applied to two highly non-linear geophysical optimization problems: seismic-petrophysical inversion and 1D elastic full-waveform inversion. In this work, with the aim to maintain the discussion at a simple level, we limit the attention to synthetic seismic data. This strategy allows us to draw general conclusions about the suitability of this peculiar parameterization for solving geophysical problems. The results demonstrate that the proposed approach ensures fast convergence rates together with accurate and stable final model predictions. In particular, the proposed parameterization reveals to be effective in reducing the ill conditioning of the optimization problem and in circumventing the so-called curse-of-dimensionality issue. We also demonstrate that the implemented algorithm greatly outperforms the outcomes of the more standard approach to global inversion in which each subsurface parameter is considered as an independent unknown. 相似文献
152.
生物技术清洁生产替代高污染化学法制备甲壳素的研究与应用 总被引：1，自引：0，他引：1
从虾壳中分离到一株乳杆菌BR-3,研究发现其最佳发酵起始pH为6.50,最佳培养温度为35℃,在此培养温度下达到对数生长期的时间为42h。采用乳杆菌发酵方法,进行了虾壳制备甲壳素的研究,比较了接种量、葡萄糖加入量、发酵时间等因素对产品质量的影响。结果表明,当接种量为10%、葡萄糖浓度为4.5%、固液比为1︰3、发酵温度为(35±2)℃、发酵时间为3—4d时,平均灰分去除率达95.67%,甲壳素产品灰分含量均小于6%,最低可达1%,产品质量等于或优于传统的酸碱生产方法。发酵液可部分或全部回收,洗涤废水可作下一轮发酵用水,生产废水接近零排放。虾壳乳酸发酵法生产甲壳素是一种清洁生产方法。BR-3培养时间短,培养条件粗放,温度和pH适应范围宽,产酸效率高,残糖少,适合于工业化生产。 相似文献
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Polarimetric data is an additional source of information in PSI technique to improve its performance in land subsidence estimation. The combination of polarimetric data and radar interferometry can lead to an increase in coherence and the number of PS pixels. In this paper, we evaluated and compared the dual polarized Sentinel-1A (S1A) and TerraSAR-X (TSX) data to improve the PSInSAR algorithm. The improvement of this research is based on minimizing Amplitude Dispersion Index (ADI) by finding the optimum scattering mechanism to increase the number of PSC and PS pixels. The proposed method was tested using a dataset of 40 dual-pol SAR data (VV/VH) acquired by S1A and 20 dual-pol SAR data (HH/VV) acquired by TSX. The results revealed that using the TSX data, the number of PS pixels increased about 3 times in ESPO method than using the conventional channels, e.g., HH, and VV. This increase in S1A data was about 1.7 times in ESPO method. In addition, we investigated the efficiency of the three polarimetric optimization methods i.e. ESPO, BGSM, and Best for the dual polarized S1A and TSX data. Results showed that the PS density increased about 1.9 times in BGSM and about 1.5 times in Best method in TSX data. However, in S1A data, PS density increased about 1.1 times in BGSM. The Best method was not successful in increasing the PS density using the S1A data. Also, the effectiveness of the method was evaluated in urban and non-urban regions. The experimental results showed that the method was successful in significantly increasing the number of final PS pixels in both regions. 相似文献
155.
一株海洋解淀粉芽孢杆菌(Bacillus amyloliquefaciens)生产Macrolactin B的发酵条件优化 总被引：1，自引：1，他引：0
从浙江台州近海上层海水中分离到一株可产Macrolactin类大环内酯抗生素的海洋细菌,经形态特征分析及16S rRNA测序比对,鉴定并将其命名为解淀粉芽孢杆菌(Bacillus amyloliquefaciens)ESB-2。运用Minitab软件,通过Plackett-Burman和Box-Behnken实验及响应面分析对该菌生产Macrolactin B的发酵条件进行优化,得到该菌生产Macrolactin B的最佳发酵条件为：葡萄糖17.0mg/L,蛋白胨5mg/L,酵母粉1mg/L,FePO4 0.01mg/L,初始pH 6.0,培养温度27.2℃,接种量5%,装液量57.6%,培养时间4d,在优化发酵条件下,Macrolactin B的最高产量达到13.6μg/ ml,比优化前提高了8倍,为该活性物质药源问题的解决打下了良好基础。 相似文献
156.
R. M. AssunÇão M. C. Neves C. Da Costa Freitas 《International journal of geographical information science》2013,27(7):797-811
Regionalization is a classification procedure applied to spatial objects with an areal representation, which groups them into homogeneous contiguous regions. This paper presents an efficient method for regionalization. The first step creates a connectivity graph that captures the neighbourhood relationship between the spatial objects. The cost of each edge in the graph is inversely proportional to the similarity between the regions it joins. We summarize the neighbourhood structure by a minimum spanning tree (MST), which is a connected tree with no circuits. We partition the MST by successive removal of edges that link dissimilar regions. The result is the division of the spatial objects into connected regions that have maximum internal homogeneity. Since the MST partitioning problem is NP‐hard, we propose a heuristic to speed up the tree partitioning significantly. Our results show that our proposed method combines performance and quality, and it is a good alternative to other regionalization methods found in the literature. 相似文献
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