Evaluating coastal scenery using fuzzy logic: Application at selected sites in Western Black Sea coastal region of Turkey

Coastal areas of the world are under treat due to the conflicting requirements of functions such as habitation and/or recreation, which affect the strategic asset of coastal scenery itself. Coastal managers, together with planners, need coastal landscape inventories, where the quality of coastal scenery is a part of the inventory. In order to provide an evidence-based approach for sound coastal management decisions, [Ergin et al., 2004] and [Ergin et al., 2006] developed a novel technique ‘coastal scenic evaluation’ (CSE), which addresses the evaluation of coastal scenery. The CSE technique utilizes fuzzy logic to derive values obtained from a checklist of 26 physical and human parameters. The methodology enables the calculation of an evaluation index (D), which categorizes the scenic values of coastal sites into five distinct classes. Using this technique, coastal scenic evaluations were carried out at 34 selected sites on the Western Black Sea coast of Turkey. Based on the calculated D values, a five-class differentiation was obtained for the selected sites, to provide baseline information for any envisaged subsequent management plans for these areas.     

A comparison of the main methods for estimating probabilities of extreme still water levels

Sea-level return periods are estimated at 18 sites around the English Channel using: (i) the annual maxima method; (ii) the r-largest method; (iii) the joint probability method; and (iv) the revised joint probability method. Tests are undertaken to determine how sensitive these four methods are to three factors which may significantly influence the results; (a) the treatment of the long-term trends in extreme sea level; (b) the relative magnitudes of the tidal and non-tidal components of sea level; and (c) the frequency, length and completeness of the available data. Results show that unless sea-level records with lengths of at least 50 years are used, the way in which the long-term trends is handled in the different methods can lead to significant differences in the estimated return levels. The direct methods (i.e. methods i and ii) underestimate the long (> 20 years) period return levels when the astronomical tidal variations of sea level (relative to a mean of zero) are about twice that of the non-tidal variations. The performance of each of the four methods is assessed using prediction errors (the difference between the return periods of the observed maximum level at each site and the corresponding data range). Finally, return periods, estimated using the four methods, are compared with estimates from the spatial revised joint probability method along the UK south coast and are found to be significantly larger at most sites along this coast, due to the comparatively short records originally used to calibrate the model in this area. The revised joint probability method is found to have the lowest prediction errors at most sites analysed and this method is recommended for application wherever possible. However, no method can compensate for poor data.     

钦州湾潮流深槽的成因与稳定性探讨

据钦州湾2007年1—2月的实测潮流,结合径流、潮汐等资料,经水动力和港湾地形综合分析揭示:钦州湾的潮流深槽是潮流作用于葫芦形复式港湾的必然产物,是在内湾纳潮蓄能、湾颈狭道强流、颈口岛礁分流喷射冲刷而成的。通过对潮流流路和强度的分析,对潮流深槽的稳定性进行了探讨;进而通过湾颈流速-内湾纳潮关系计算,给出了潮流深槽稳定的临界条件。     

海洋表层气泡运动规律的研究

建立了海洋表层气泡运动和半径变化的数学模型,通过计算发现一定深度的气泡存在一个临界半径;在一定初始深度气泡的半径小于临界半径时不能到达水面,随着时间的增长,气泡半径逐渐变小,直至最终溶解;气泡的半径大于临界半径时,气泡随着时间的增长,半径逐渐增大,直至达到水面破碎;气泡的初始深度不同,其临界半径也不同;半径在临界点附近的气泡的存活时间最长.对海洋表层气泡运动规律的研究对了解海洋表层气泡的分布规律有重要意义.     

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参数带椭球约束平差算法的应用

针对实际工程应用中遇到的参数带有范围约束的情形,提出带椭球约束的平差算法,并给出其具体模型和解算步骤。数值模拟实验和病态测边网数据计算表明,在处理病态问题时,最小二乘平差（least-squares,LS）已不适用,而与岭估计、奇异值分解法（singular value decomposition,SVD）以及不等式约束相比,本文算法精度更高。     

大獭蛤软体部营养成分的分析与评价

对大獭蛤(Lutraria maxima)软体部进行营养成分分析,并对其营养价值进行综合评定。结果表明,大獭蛤软体部粗蛋白含量为81.20%,干物质中水解氨基酸总量为83.50%,其中必需氨基酸为30.22%,占氨基酸总量的36.19%;氨基酸中6种呈味氨基酸含量丰富,占氨基酸总量的53.81%;大獭蛤软体部第一限制氨基酸为亮氨酸;矿物质含量丰富。可见,大獭蛤软体部营养价值高,呈味特性良好。     

海洋磁力测量中多站地磁日变改正基值归算

海洋磁力测量多站日变改正时,为了减小磁场水平差异的影响,需要进行地磁日变基值归算。分析了地磁日变化时空分布特点,研究了地磁日变基值对多站地磁日变改正时磁测的影响,提出了多站地磁日变基值归算方法。经地磁日变同步观测数据验证表明：一定空间范围内,各站地磁日变数据日平均值基本上呈同步变化,利用此方法归算得到的分站地磁日变基值稳定。     

Singular value decomposition and cluster analysis as regression diagnostics tools for geodetic applications

It is well known that high-leverage observations significantly affect the estimation of parameters. In geodetic literature, mainly redundancy numbers are used for the detection of single high-leverage observations or of single redundant observations. In this paper a further objective method for the detection of groups of important and less important (and thus redundant) observations is developed. In addition, the parameters which are predominantly affected by these groups of observations are identified. This method thus complements other diagnostics tools, such as, e.g., multiple row diagnostics methods as described in statistical literature (see, e.g., Belsley et al. in Regression diagnostics: identifying influential data and sources of collinearity. Wiley, New York, 1980). The method proposed in this paper is based on geometric aspects of adjustment theory and uses the singular value decomposition of the design matrix of an adjustment problem together with cluster analysis methods for regression diagnostics. It can be applied to any geodetic adjustment problem and can be used for the detection of (groups of) observations that significantly affect the estimated parameters or that are of negligible impact. One of the advantages of the proposed method is the improvement of the reliability of observation plans and thus the reduction of the impact of individual observations (and outliers) on the estimated parameters. This is of particular importance for the very long baseline interferometry technique which serves as an application example of the regression diagnostics tool.     

不规则边界场地中方格法土方工程量的计算

结合方格法计算土方工程量的全过程,介绍了一种不同于传统教材的确定高程权的方法。采用该方法,比较好地解决了不规则边界场地采用方格法计算土方量的难题,对该方法的实际应用具有指导意义。