结构损伤线性及非线性特征谱模式识别及应用

利用时间序列动态数据处理与建模对结构有损状态进行线性和非线性过程处理,用这两种方法对结构的物理状态进行谱分析和模态频率的提取进行了比较,计算结果表明非线性 Ｓ Ｅ Ｔ Ａ Ｒ 模型在特征谱的识别与提取上比线性 Ａ Ｒ Ｍ Ａ Ｘ 模型更有效,对微小损伤更灵敏。说明了在参数识别中非线性 Ｓ Ｅ Ｔ Ａ Ｒ 模型对物体损伤情况下振动数据建模较为客观,更能反映振动体系的损伤信息,是损伤识别数学模型有效的方法。     

RELATIVE SEA LEVEL RISE AND ITS EFFECTS ON ENVIRONMENT AND RESOURCES IN CHINAS COASTAL AREAS

ＲＥＬＡＴＩＶＥＳＥＡＬＥＶＥＬＲＩＳＥＡＮＤＩＴＳＥＦＦＥＣＴＳＯＮＥＮＶＩＲＯＮＭＥＮＴＡＮＤＲＥＳＯＵＲＣＥＳＩＮＣＨＩＮＡＳＣＯＡＳＴＡＬＡＲＥＡＳ￥ＹａｎｇＧｕｉｓｈａｎ（杨桂山）（ＮａｎｊｉｎｇＩｎｓｔｉｔｕｔｅｏｆＧｅｏｇｒａｐｈｙａｎ...     

Factorial analysis of annual erosion-accretion cycles of tidal flats in the front area of the southern Changjiang river delta

ＦＡＣＴＯＲＩＡＬＡＮＡＬＹＳＩＳＯＦＡＮＮＵＡＬＥＲＯＳＩＯＮＡＣＣＲＥＴＩＯＮＣＹＣＬＥＳＯＦＴＩＤＡＬＦＬＡＴＳＩＮＴＨＥＦＲＯＮＴＡＲＥＡＯＦＴＨＥＳＯＵＴＨＥＲＮＣＨＡＮＧＪＩＡＮＧＲＩＶＥＲＤＥＬＴＡＹａｎｇＳｈｉｌｕｎ（杨世伦）Ｃｈｅ...     

IMPACTS OF SEA LEVEL RISE ON COASTAL EROSION IN THE CHANGJIANG RIVER DELTA AND NORTH JIANGSU COASTAL PLAINO

（季子修）（蒋自巽）ＩＭＰＡＣＴＳＯＦＳＥＡＬＥＶＥＬＲＩＳＥＯＮＣＯＡＳＴＡＬＥＲＯＳＩＯＮＩＮＴＨＥＣＨＡＮＧＪＩＡＮＧＲＩＶＥＲＤＥＬＴＡＡＮＤＮＯＲＴＨＪＩＡＮＧＳＵＣＯＡＳＴＡＬＰＬＡＩＮＯ￥ＪｉＺｉｘｉｕ（ＮａｎｊｉｎｇＩｎｓｔｉｔｕｔｅ...     

THE EFFECT OF THE NEW EURASIAN CONTINENTAL BRIDGE ON THE EASTERN COASTAL AREAS OF CHINA

ＴＨＥＥＦＦＥＣＴＯＦＴＨＥＮＥＷＥＵＲＡＳＩＡＮＣＯＮＴＩＮＥＮＴＡＬＢＲＩＤＧＥＯＮＴＨＥＥＡＳＴＥＲＮＣＯＡＳＴＡＬＡＲＥＡＳＯＦＣＨＩＮＡＺｈｏｕＪｉａｎｈｕａ（周建华）；ＹａｏＳｈｉｍｏｕ（姚士谋）（ＮａｎｊｉｎｇＩｎｓｔｉｔｕｔｅｏｆＧｅ...     

COMPLEX ECOLOGIC－ECONOMIC SYSTEM OF AFFORESTATION－AN EXAMPLE OF SUSTAINABLE AGRICULTURE

ＣＯＭＰＬＥＸ ＥＣＯＬＯＧＩＣ－ＥＣＯＮＯＭＩＣ ＳＹＳＴＥＭ ＯＦ ＡＦＦＯＲＥＳＴＡＴＩＯＮ－ＡＮ ＥＸＡＭＰＬＥ ＯＦ ＳＵＳＴＡＩＮＡＢＬＥ ＡＧＲＩＣＵＬＴＵＲＥ ＬｉＸｉａｏｆａｎｇ（李孝芳）（ＣｏｍｍｉｓｓｉｏｎｆｏｒＩｎｔｅｇｒａｔ...     

THE CAUSES AND DEVELOPMENTAL TREND OF DESERTIFICATION IN THE MIDDLE REACHES OF THE YARLUNG ZANGBO RIVER AND ITS TWO TRIBUTARIES IN XIZANG

ＴＨＥＣＡＵＳＥＳＡＮＤＤＥＶＥＬＯＰＭＥＮＴＡＬＴＲＥＮＤＯＦＤＥＳＥＲＴＩＦＩＣＡＴＩＯＮＩＮＴＨＥＭＩＤＤＬＥＲＥＡＣＨＥＳＯＦＴＨＥＹＡＲＬＵＮＧＺＡＮＧＢＯＲＩＶＥＲＡＮＤＩＴＳＴＷＯＴＲＩＢＵＴＡＲＩＥＳＩＮＸＩＺＡＮＧＤｏｎｇＧｕａｎｇ...     

PROBLEMS OF THE AQUATIC ENVIRONMENT AND COUNTERMEASURES IN RAPID ECONOMIC DEVELOPMENT IN THE ZHUJIANG RIVER DELTA

ＰＲＯＢＬＥＭＳＯＦＴＨＥＡＱＵＡＴＩＣＥＮＶＩＲＯＮＭＥＮＴＡＮＤＣＯＵＮＴＥＲＭＥＡＳＵＲＥＳＩＮＲＡＰＩＤＥＣＯＮＯＭＩＣＤＥＶＥＬＯＰＭＥＮＴＩＮＴＨＥＺＨＵＪＩＡＮＧＲＩＶＥＲＤＥＬＴＡ￥ＷｅｎＹａｎｍａｏ（温琰茂）；ＣｈｅｎｇＧｕｏｐｅｉ...     

THE RELATIONSHIP BETWEEN THE ENVIRONMENTAL CHANGE OF THE ZHUJIANG RIVER DELTA IN HOLOCENE AND ITS CULTURAL ORIGINS AND PROPAGATION

（翁齐浩）ＴＨＥＲＥＬＡＴＩＯＮＳＨＩＰＢＥＴＷＥＥＮＴＨＥＥＮＶＩＲＯＮＭＥＮＴＡＬＣＨＡＮＧＥＯＦＴＨＥＺＨＵＪＩＡＮＧＲＩＶＥＲＤＥＬＴＡＩＮＨＯＬＯＣＥＮＥＡＮＤＩＴＳＣＵＬＴＵＲＡＬＯＲＩＧＩＮＳＡＮＤＰＲＯＰＡＧＡＴＩＯＮ￥ＷｅｎｇＱｉｈ...     

The investment circumstances and its classification appraisal of Changjiang river delta

ＴＨＥＩＮＶＥＳＴＭＥＮＴＣＩＲＣＵＭＳＴＡＮＣＥＳＡＮＤＩＴＳＣＬＡＳＳＩＦＩＣＡＴＩＯＮＡＰＰＲＡＩＳＡＬＯＦＣＨＡＮＧＪＩＡＮＧＲＩＶＥＲＤＥＬＴＡＸｕＧａｎｇ（许刚）ＳｈｅＺｈｉｘｉａｎｇ（佘之祥）ＮａｎｊｉｎｇＩｎｓｔｉｔｕｔｅｏｆＧｅｏｇ...     

Responses of river runoff to climate change based on nonlinear mixed regression model in Chaohe River Basin of Hebei Province,China

Taking the nonlinear nature of runoff system into account,and combining auto-regression method and multi-regression method,a Nonlinear Mixed Regression Model (NMR) was established to analyze the impact of temperature and precipitation changes on annual river runoff process. The model was calibrated and verified by using BP neural network with observed meteorological and runoff data from Daiying Hydrological Station in the Chaohe River of Hebei Province in 1956–2000. Compared with auto-regression model,linear multi-regression model and linear mixed regression model,NMR can improve forecasting precision remarkably. Therefore,the simulation of climate change scenarios was carried out by NMR. The results show that the nonlinear mixed regression model can simulate annual river runoff well.     

基于Prophet-RF模型的GNSS高程坐标时间序列预测分析

针对GNSS高程坐标时间序列非平稳性与非线性等特点,在深入分析Prophet模型与随机森林(ran-dom forest,RF)模型特性的基础上,构建了Prophet-RF组合预测模型,解决了Prophet模型对时间序列非线性部分预测能力较弱的缺陷,且该组合模型具有较强的鲁棒性.本文选用BJFS站高程方向的连续观测数据...     

Assessing seawater quality with a variable fuzzy recognition model

With the rapid development of the marine economy industry, human exploitation of marine resources is increasing, which is contributing to the growing trend of eutrophication and frequent occurrence of red tide. Accordingly, investigations of seawater quality have attracted a great deal of attention. This study was conducted to construct a seawater environmental quality assessment model based on the variable fuzzy recognition model. The uncertainty and ambiguity of the seawater quality assessment were then considered, combining the monitoring values of evaluation indicators with the standard values of seawater quality. Laizhou Bay was subsequently selected for a case study. In this study, the correct variable model for different parameters was obtained according to the linear and nonlinear features of evaluation objects. Application of the variable fuzzy recognition model for Laizhou Bay, water quality evaluation and comparison with performance obtained using other approaches revealed that the generated model is more reliable than traditional methods, can more reasonably determine the water quality of various samples, and is more suitable for evaluation of a multi-index, multi-level, nonlinear marine environment system; accordingly, the generated model will be an effective tool for seawater quality evaluation.     

非线性三维基准转换的稳健估计

三维基准转换广泛应用于大地测量和摄影测量。因为处理非线性的三维基准转换较困难，大多数情况下，是用线性的三维基准转换来解决问题，为此，提出了一种新的简便方法来处理非线性三维基准转换问题。该方法应用了稳健估计原理，使解算得到的转换参数更加稳定和可靠。最后给出了一个算例，计算结果表明新方法非常有效。     

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面向路网轨迹的自适应数据模型与索引结构

针对现有路网轨迹数据模型与时空索引结构自适应调节能力低的问题,提出了一种面向路网轨迹的自适应数据模型与时空索引结构,以支持路网时空轨迹的高效存储与查询。所提出的自适应时空数据模型为多层CLR数据模型的扩展,该模型以从时空轨迹群中挖掘的高频路网路径为主要网络线性元素建立自适应线性基准,并根据自适应线性基准对路网时空轨迹进行转换,转换后的时空轨迹其时空子实体数量变少,可以通过更高的效率进行存储;所提出的自适应时空索引结构为基于LRS的时空索引结构的扩展,该索引结构根据自适应线性基准构建自适应线性参考系统,基于自适应线性参考系统的索引结构其保存的时空子实体数量变少,可以通过更高的效率进行时空查询。为了验证所提出方法的有效性,本文最后采用真实开源T-Drive出租车轨迹数据集与人工合成轨迹数据集进行了充足的实验。实验以2种常见的时空相交查询类型为例,将所提出的方法与原始数据模型以及时空索引结构进行了存储效率和查询效率的对比。对比分析结果表明,所提出的自适应数据模型与索引结构最高能够提升40%的存储效率以及50%的查询效率,为路网轨迹数据的管理提供了新的解决方案。     

运用BP网络预测地下水位

人工神经网络是一门新兴的交叉学科，是处理非线性问题的有效方法。本文把影响地下水位的因素集作为网络的输入向量，地下水位本身作为网络的输出向量，构成了预测地下水位的ＢＰ网络模型。一个实例的应用实践表明，用ＢＰ网络预测地下水位较准确地反映了客观实际，比其它方法如回归模型具有较高的拟合精度和预测精度。     

长三角地区分季节多因子本地化T_m模型研究

针对GNSS气象学中大气加权平均温度(Tm)受时空影响的问题,利用长三角地区7个探空站2015~2017年数据,分析Tm与地面温度(Ts)、水汽压(es)和气压(Ps)的线性关系,并基于最小二乘法进行多元线性拟合,建立长三角地区本地化Tm模型。实验结果表明:1)本地化单因子模型效果优于Bevis模型,且双因子和多因子模型与单因子模型效果相当;2)分季节多因子模型优于全局模型,对秋冬季改善效果最为显著;3)分季节多因子Tm模型计算GNSS大气可降水量(PWV)的效果优于Bevis模型。分季节多因子本地化Tm模型更适用于长三角地区,可获得更准确的Tm和PWV。     

线性加权回归模型的高原山地区域降水空间插值研究

在山地和高原区域,地形对降水影响比较显著。常规空间插值方法通常不考虑地形要素,插值精度有限。考虑到降水量与高程存在较强的相关关系,采用局部线性加权回归模型预测山地和高原区域的降水分布。推导了回归计算公式,并在ArcGIS 9.0中编程实现算法。选取美国德克萨斯州西北部地区进行局部线性加权回归空间插值,并与普通Kriging、倒距离加权法比较。误差分析表明:在地形复杂的地区,线性加权回归模型比传统方法有优势。