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71.
Understanding the spatial scale sensitivity of cellular automata is crucial for improving the accuracy of land use change simulation. We propose a framework based on a response surface method to comprehensively explore spatial scale sensitivity of the cellular automata Markov chain (CA-Markov) model, and present a hybrid evaluation model for expressing simulation accuracy that merges the strengths of the Kappa coefficient and of Contagion index. Three Landsat-Thematic Mapper remote sensing images of Wuhan in 1987, 1996, and 2005 were used to extract land use information. The results demonstrate that the spatial scale sensitivity of the CA-Markov model resulting from individual components and their combinations are both worthy of attention. The utility of our proposed hybrid evaluation model and response surface method to investigate the sensitivity has proven to be more accurate than the single Kappa coefficient method and more efficient than traditional methods. The findings also show that the CA-Markov model is more sensitive to neighborhood size than to cell size or neighborhood type considering individual component effects. Particularly, the bilateral and trilateral interactions between neighborhood and cell size result in a more remarkable scale effect than that of a single cell size.  相似文献   
72.
The factors of safety for stationkeeping systems in current standards (ISO, API) are not derived or validated using reliability analyses. As the oil and gas exploration and production is breaking new boundaries, deploying new floating systems and moving into regions with harsher environments, it is of paramount importance to understand what level of reliability these new marine structures are achieving. This paper presents a reliability analysis of the mooring system of a Floating LNG (FLNG) vessel permanently moored and permanently manned offshore North West Australia in a tropical cyclone environment. The reliability analysis addresses both the mooring chain and the pile foundation. The analysis accounts for the long term characteristics of the environment, including the short term variability, in response to a given sea state and the variability and uncertainty in strength of the mooring chain and the pile. The stationkeeping system was analysed using detailed time domain simulations, capturing system non-linearities and low frequency oscillations as well as wave frequency responses and, thereby, reducing modelling uncertainties to a minimum.It is found that for the conditions modelled, neither the chain nor the pile meet a target reliability of 10−4/annum using the factors of safety commonly used in design following current ISO and API standards. New factors of safety are proposed to achieve this target reliability. For the pile design, one complicating factor is that current design standards do not explicitly define the exceedance probability that should be associated with the characteristic value of the undrained shear strength to be used in the design. It is demonstrated that the required factor of safety is crucially dependent on the definition of this characteristic value and on the level and the type of uncertainty in the soil strength profile. A recommendation is made regarding the definition of this characteristic value and the associated factor of safety. Furthermore, it is found that designing the mooring system to an environmental condition with a return period of 10,000 yr (as an Abnormal Limit State event), and setting the factor of safety to unity, meets the target reliability of 10−4/annum for the pile, if the characteristic undrained shear strength is a lower bound, defined in this paper by the 10th percentile value. For the chain however, this target reliability is not achieved.  相似文献   
73.
文章提出了一种识别混合层深度的人工智能方法。该方法在温度(密度)与压强(或深度)间建立线性模型, 并且将其系数和方差做成一组表征廓线特征的统计量。初始时为模型设定一个主观的先验分布, 在一个自海表向下移动的窗口内通过贝叶斯链式法则和最小描述长度原理学习新数据, 得到系数均值的最大后验概率估计。用F-检验识别系数发生突变的位置, 以此确定混合层的存在性及其深度。通过2017年2月太平洋海域的地转海洋学实时观测阵(Array for Real-time Geostrophic Oceanography, ARGO)数据进行测试, 并且以质量因子(Quality Index, QI)值作为判断识别混合层深度结果准确性的依据, 发现该方法相比于梯度法、阈值法、混合法、相对变化法、最大角度法和最优线性插值法在识别结果上具备更大的QI值。表明该方法能够准确识别混合层深度。  相似文献   
74.
目前没有规范给出串锚的水平承载力计算公式,为了利用有限元法研究串锚水平承载力特性,采用相关理论计算以及室内试验的方法来验证有限元法模拟计算的可靠性。实践证明,有限元法具有较高的计算精度。利用有限元分析软件ABAQUS建立了串锚-土体模型,模拟串锚在水平荷载作用下破坏过程,研究了串锚在水平荷载作用下破坏机理,从而得到了串锚水平承载力特性。在相同的工况条件下,串锚的水平承载力与其锚链长度有关,在一定范围内,增加锚链的长度可以提高串锚的水平承载力;串锚的水平承载力不是相应的单个锚的水平承载力相加,其水平承载力小于相应的单个锚水平承载力之和,在进行串锚水平承载力设计计算时应给与相应的考虑。  相似文献   
75.
In recent years, the rapid expansion of urban spaces has accelerated the mutual evolution of landscape types. Analyzing and simulating spatio-temporal dynamic features of urban landscape can help to reveal its driving mechanisms and facilitate reasonable planning of urban land resources. The purpose of this study was to design a hybrid cellular automata model to simulate dynamic change in urban landscapes. The model consists of four parts: a geospatial partition, a Markov chain (MC), a multi-layer perceptron artificial neural network (MLP-ANN), and cellular automata (CA). This study employed multivariate land use data for the period 2000–2015 to conduct spatial clustering for the Ganjingzi District and to simulate landscape status evolution via a divisional composite cellular automaton model. During the period of 2000–2015, construction land and forest land areas in Ganjingzi District increased by 19.43% and 15.19%, respectively, whereas farmland, garden lands, and other land areas decreased by 43.42%, 52.14%, and 75.97%, respectively. Land use conversion potentials in different sub-regions show different characteristics in space. The overall land-change prediction accuracy for the subarea-composite model is 3% higher than that of the non-partitioned model, and misses are reduced by 3.1%. Therefore, by integrating geospatial zoning and the MLP-ANN hybrid method, the land type conversion rules of different zonings can be obtained, allowing for more effective simulations of future urban land use change. The hybrid cellular automata model developed here will provide a reference for urban planning and policy formulation.  相似文献   
76.
提出一种基于马尔科夫链修正的遗传BP神经网络预测模型(GA-BP-MC),利用遗传算法的全局寻优能力初始化BP神经网络权值和阈值,初步建立GA-BP神经网络预测模型,结合马尔科夫链的无后效性修正模型预测值,形成高精度GA-BP-MC神经网络变形预测模型。结合高铁桥墩沉降数据,分别与BP神经网络、GA-BP神经网络预测模型进行对比,结果表明,该预测模型精度最高。  相似文献   
77.
通过研究国家相关海洋观测标准对海水温度观测的规约,结合当前船载水温观测的现状,提出了基于总线的船载磁吸附温度链式观测方法,并对其在结构设计、理论模型、算法等多方面进行了阐述.通过多个竖直分布的温度传感器实时观测,采用自适应参数化算法,有效减少了风浪、海流、热辐射等方面的影响,具有观测层深相对固定、精度高等特点,可实现船...  相似文献   
78.
随着现代工业的发展,城市黑臭河道问题日趋严重,严重影响了城市形象、生态环境和居民身心健康。利用多水塘活水链人工湿地技术净化江苏常州永胜河河水水质。监测结果显示:该技术使水体总氮浓度削减了92.0%、总磷浓度削减了82.9%,处理后的水体总氮、总磷含量达到地表IV类水标准。项目年处理水量约30万t,每年以较低的成本(平均水处理费用约为0.03元/t),削减总氮、总磷和氨氮量分别为1496.6 kg、176.0 kg和1408.6 kg。通过引植多种浮叶植物、挺水植物、沉水植物,该湿地修复工程为当地营造了优美的湿地景观。多水塘活水链人工湿地是集经济效益、生态效益、环境效益于一体的新型水体生态治理技术,为我国城镇黑臭河道治理提供了一条新的途径。  相似文献   
79.
青藏高原新生代形成演化的整合模型——来自火成岩的约束   总被引:36,自引:8,他引:28  
深部过程是青藏高原演化的主导因素,其他地质过程都可以看作是对深部过程的响应。因此,一个构造旋回(阶段)的地球动力学事件链可以概括为深部地质过程—幔源岩浆活动—壳源岩浆活动—陆壳增厚—地表隆升—表层剥蚀与沉积,其中幔源岩浆活动的研究成为追索青藏高原演化历史的关键环节。据此,青藏高原演化的关键性时间坐标为80、45、27、17、9和4Ma。青藏高原新生代火成岩具有三种展布形式:与雅鲁藏布缝合带平行的岩浆带、沿深大断裂展布的岩浆带和藏北离散性岩浆分布区,它们分别受控于大陆碰撞、大规模走滑和岩石圈拆沉构造体制,且都受控于印度—亚洲软流圈汇聚过程。据此,文中提出了一个描述青藏高原演化的整合模型:南北向地幔对流汇聚控制了岩石圈块体的相对运动,并最终导致印度—亚洲大陆的碰撞和沿碰撞带的大规模岩浆活动;碰撞之初(白垩纪末期),大陆岩石圈块体的刚性属性有利于应力的远程传递和块体旋转,沿块体边界分布的大型走滑断裂控制了岩浆活动的发生;随着挤压过程的持续进行,岩石圈块体的受热和变形,高原岩石圈的重力不稳定性增加,最终导致拆沉作用和软流圈物质的大规模上涌以及藏北高原的离散性岩浆活动。在高原演化中,岩石圈拆沉作用具有重要意义,许多地质事件的发生都与此有关。同时,软流圈的汇聚还导致软流圈物质的向东挤出,并因此造成青藏高原岩石圈的向东挤出和晚新生代的伸展构造。  相似文献   
80.
纳米镍/铁去除氯代烃影响因素的探讨   总被引:10,自引:0,他引:10  
刘菲  黄园英  张国臣 《地学前缘》2006,13(1):150-154
氯代烃是地下水中最常检出的有机污染物之一,传统的处理方法去除率很低。近年来随着铁还原技术的发展,纳米铁和纳米双金属也成为一个活跃的研究领域。利用批实验的研究方法以四氯乙烯(PCE)和四氯化碳(CT)为目标污染物,研究纳米镍/铁在去除PCE过程中的影响因素。实验结果表明,在碱性条件下,纳米Ni/Fe对PCE脱氯速率比在酸性和中性条件下脱氯速率更快;纳米Ni/Fe对初始浓度为6·51mg/L的PCE溶液脱氯速率是对初始浓度为20·56mg/L的PCE溶液脱氯速率的1·8倍;对于氯代程度相同的CT和PCE,对CT的脱氯速率明显快于对PCE。  相似文献   
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