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An optimal procedure for identifying parameter structure and application to a confined aquifer
No full textAn Integrated Optimization Algorithm for Distributed Parameter Structure Identification in Groundwater Model Simulation
No full text本論文提出一整合型優選演算法應用於地下水模擬模式之參數辨識，其主要貢獻在於針對參數辨識之反向問題求解中最重要的兩項元素―參數化以及調整參數，進行最佳化處理；就參數化來說，本論文應用了三種分區方法―Voronoi diagram (VD)、multiplicatively weighted Voronoi diagram (MWVD)、以及 pattern zonation (PZ)，其中並將各分區方法加入內插技巧，進行水力傳導係數空間分佈之描繪應用，而每一種分區方法皆可視為此整合型優選演算法之部份元件。另外，本論文採用模擬退火法(simulated annealing algorithm, SA)以及禁忌演算法(Tabu search, TS)進行模式中參數的最佳化調整與辨識，其中更進一步利用伴隨狀態方法(adjoint state method, ASM)以及不同模擬網格大小之技巧，配合禁忌演算法改善模式參數辨識之效能與效率。論文並提出三個不同的應用，以証明此整合型優選演算法之可行性。首先利用模擬退火法以及Voronoi diagram進行台北盆地地下水侷限含水層參數結構之辨識；接著利用禁忌演算法配合三種不同的分區方法應用於假設案例，驗証其可行性；最後，採用禁忌演算法，配合伴隨狀態方法及不同模擬網格大小技巧，有效率地應用於片段均質以及連續型之水力傳導係數空間分佈之辨識。此外，模式的殘差、參數不確定性、模式結構誤差以及修正型的Akaike Information Criterion等多項指標，皆為本論文應用於模式複雜度之判斷依據，以避免過度參數化之情形發生。結果顯示，不論是模擬退火法、禁忌演算法或是禁忌演算法配合伴隨狀態方法，皆能有效地進行地下水模式之參數辨識。The main contribution of this dissertation is proposing an integrated optimization algorithm for parameter structure identification in groundwater model simulation. The integrated optimization algorithm is applied to parameterization and parameter adjustment which are two essential components of solving inverse problems. As for parameterization, three zonation methods, Voronoi diagram (VD), multiplicatively weighted Voronoi diagram (MWVD), and pattern zonation (PZ), combined with the interpolation approach are presented in this dissertation to depict the spatial distribution of hydraulic conductivity. Each of these methods is able to be selected as a part of the integrated optimization algorithm. The simulated annealing algorithm (SA) and Tabu search (TS) are adopted in this dissertation to adjust the parameters. Moreover, the adjoint state method (ASM) and the coarse-fine grid search technique are allied with TS to enhance the efficiency in parameter adjustment.hree applications are represented in this dissertation to demonstrate the integrated optimization algorithm. First, SA and VD are used to identify the parameter structure of a confined aquifer. TS and three zonation methods are then applied to the parameter identification of hypothetical cases. TS allied with ASM are adopted with the coarse-fine grid search technique to identify both synthetically discrete and continuous hydraulic conductivity distribution efficiently and effectively. Meanwhile, the residual error, parameter uncertainty, structure error, and a modified Akaike Information Criterion values are used to help the determination of the model complexity over these applications. The results indicate that all SA, TS alone, and TS allied with ASM are able to optimize the parameter structure well.Contentsbstract i Introduction and Background 1. Introduction 2.1 Framework 6.2 Scope 6. Background 9.1 Groundwater Flow Equation 9.2 Parameter Identification in Groundwater Model Simulation 11.3 Optimization Algorithm to the Inverse Problem 14 Parameter Structure Identification of Groundwater Modeling in Inverse Problem 17. Methods for Parameter Identification 18.1 Parameterization 18.1.1 Voronoi Diagram 20 .1.2 Multiplicatively Weighted Voronoi Diagram 23.1.3 Pattern Zonation 24 .2 Parameter Structure Identification Criteria 27 3.2.1 Fitting Residual Error 28 3.2.2 Parameter Uncertainty 29 3.2.3 Structure Error 30 3.2.4 Modified Akaike Information Criterion 31. Optimization Algorithm in Inverse Problem 32.1 Simulated Annealing Algorithm 32.2 Tabu Search 37.3 Adjoint State Method 43 Application of Integrated Optimization Algorithm for Distributed Parameter Structure Identification in Groundwater Model Simulation 48. An optimal procedure for identifying parameter structure and application to a confined aquifer 49.1 Numerical Model of the Study Area 52.2 Formulation of the optimal model 54.3 Specification of SA 55.4 Results and discussions 55.5 Comparison with hill-climbing method 61. Applying Zonation Methods and Tabu Search to Improve the Groundwater Modeling 63 6.1 Hypothetical Hydraulic Conductivity Field 62 6.2 Formulation of the Inverse Problem 66 6.3 Specifications of TS 68 6.4 Results and Discussion 69.4.1 Scenario A 70 6.4.2 Scenario B 71 6.4.3 Scenario C 72 6.4.4 Scenario D 72. Integrated Optimization Algorithm for Distributed Parameter Structure Identification in Groundwater Modeling 79 7.1 Hypothetical Aquifer 82 7.2 Formulation of the Optimization Model 83 7.3 Case 1: Discrete Hydraulic Conductivity Zone 84 7.3.1 Specification of TS 86 7.3.2 Parameter Identification Results 86 7.4 Case 2: Continuous Hydraulic Conductivity Distribution 93 7.4.1 Specification of TS 94 7.4.2 Parameter Identification Results 94. Conclusions and Future Research Directions 101. Conclusions and Suggestion 102 8.1 Application to a Confined Aquifer 102 8.2 Application of Zonation Methods and Tabu Search 103 8.3 Integrated Optimization Algorithm for Distributed Parameter Structure Identification 104 8.4 Conclusions and Suggestion 105ibliography 10
An integrated optimization algorithm for parameter structure identification in groundwater modeling
No full text
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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