基于GIS平台的地震滑坡危险性快速评估方法的初步研究

地震滑坡是大陆内部山区一种最为常见的地震次生灾害类型。本论文基于Arc GIS平台开发了地震滑坡危险性快速评估模块,实现震后1 h内地震滑坡危险性的评估,为震后应急求援提供一定的决策依据。本论文选取地震烈度、坡度、坡向、高程、水系距和断裂距6个参数作为地震滑坡影响因子,通过对历史地震滑坡数据进行统计分析,确定影响因子的分级量化标准,在GIS平台对影响因子数据进行一系列的数据处理,完成影响因子的量化赋值。采用层次分析法,确立各个影响因子的权重,并建立地震滑坡危险性评估数学模型。在此基础上,基于Arc GIS平台开发了地震滑坡危险性快速评估模块,可在震后1 h内获得评价区的地震滑坡危险性分布的公里网格数据。最后,以2013年四川省芦山县7.0级地震对评估模型进行了验证。结果表明,评估结果与实际滑坡点的分布基本符合,基于GIS的地震滑坡易发性快速评估模型是可靠的。     

基于ArcGIS平台的云安区地质灾害危害程度分区研究

在云安区1:5万地质灾害详细调查的基础上,选取了土地利用现状、人口密度、受地灾隐患点威胁的人口及财产4个要素作为评价因子,利用Arc GIS空间分析功能,建立了各评价因子的空间数据库;通过对各评价因子的分级赋值及归一化处理,得到了各评价因子的无量纲分级数据;在此基础上,通过空间叠加分析,得到云安区地质灾害危害程度定量分级成果图;最后经综合分析,得到云安区地质灾害危害程度分区图,研究结果对进一步提高区域地质灾害风险预测能力及提升综合防治水平具有重要的理论和实际意义。     

安徽升金湖国家级自然保护区水鸟生境适宜性变化

水鸟是湿地生态系统健康的指示生物,人类活动对其影响日益严重.研究自然保护区内的水鸟生境适宜性变化可以为湿地恢复提供帮助.通过层次分析法确定水鸟生境影响因子的权重,建立生境适宜性指数模型,根据TM遥感影像图和相关数据计算出安徽省升金湖国家级自然保护区1986-2011年5个年份的水鸟生境适宜指数,并结合GIS空间分析生成的水鸟生境适宜性分级图,分析升金湖建立保护区后水鸟生境适宜性变化.结果表明:升金湖地区在1986年建保护区后的几年间水鸟生境适宜性相对平稳,但是仍然有较为明显的下降;1990s后期,该地区水鸟生境适宜性开始显著恶化,一直持续到2000年之后才有小幅度的回升.水鸟生境适宜性最好的区域由片状分散逐渐转变成小范围聚集,适宜区域也在由实验区和缓冲区向核心区迁移的过程中显著缩减.本文还讨论了在研究中存在的不足,并提出一些恢复水鸟生境的建议.     

基于ANSYS的新型乡村抗震防灾适宜性规划模型分析

当前新型乡村抗震防灾适宜性规划分析中通常采用地质分区方法对勘测点进行分析,在分析过程中忽略了GIS空间的复杂性,且未对评价指标加权分析,导致抗震适宜性评价指标量化过程过于主观,存在计算结果与实际结果拟合度低的问题。据此,提出基于ANSYS的新型乡村抗震防灾适宜性规划模型分析。考虑到GIS的空间复杂性,采用ANSYS在GIS空间进行有限元结构场修正操作,结合Logistic非线性回归模型,对乡村土地抗震防灾适宜性规划中的二分类变量数据进行非线性回归分析。为了防止计算数值过于主观,采用组合熵系数模型对Logistic方程计算得来的评价指标加权,由此完成基于ANSYS的新型乡村抗震防灾适宜性规划模型分析。经过实例分析证明,所提方法求出的计算结果与实际结果拟合度较高,能成功完成评价指标的量化,对乡村抗震防灾适宜性规划分析更加客观。     

城市居住区抗震防灾规划达标模糊评价

对城市居住区抗震防灾规划评价方法进行了研究,从防灾规划的角度定义居住区规划达标、基本达标和不达标的评语集和相应的含义,并且构建了包括建筑密度、人口密度、绿地率、用地适宜性、建筑物抗震能力、避震疏散条件六项指标的评价指标体系.在此基础上结合经验分析和模糊数学的方法确定各项指标的隶属函数,并用综合评价的方法和最大隶属度原则建立达标模糊评价模型.利用东营市的数据进行实例计算表明,该评价方法具有较好的区分度和实用性.     

基于生态适宜性分析的湖泊保护与利用——以湖北斧头湖为例

为了湖泊生态系统健康及湖泊资源的可持续利用,需要根据湖泊的具体情况加强对湖泊生态系统的管理.建立在生态适宜性分析基础上的湖泊生态功能分区,可为科学合理地开发湖泊资源、协调湖泊生态系统结构与功能提供依据.以湖北省斧头湖为对象,在对斧头湖生态环境调查基础上,选取具有代表性的水质、生物及人为干扰因子;根据《地表水环境质量标准》(GB3838-2002)确定水质评价等级,采用专家论证法确定生物及人为干扰因子评价等级,建立起湖泊生态养殖适宜性评价等级体系;采用主成分分析法确定评价因子权重,并在GIS技术的支持下,采用因子叠加法,对斧头湖生态养殖适宜性进行综合评价.根据各区域生态养殖适宜性综合评价结果,同时考虑到湖泊生态环境和综合资源保护要求、斧头湖自然生态系统功能和生态渔业的可持续发展,可将斧头湖划分为极适宜区、高度适宜区、中度适宜区、轻度适宜区和较不适宜区;各适宜区面积分别占斧头湖总面积的12.04%、24.81%、49.65%、9.58%和3.92%.从湖泊生态系统保护及渔业的可持续利用角度看,极适宜区、高度适宜区适合开展生态养殖;中度适宜区和轻度适宜区要以生态恢复为主,可进行一定规模的放养养殖;较不适宜区应进行生态修复,不适宜进行各种开发活动.     

基于GIS的天津市应急避难场所选址评价

应急避难场所在城市应急管理体系中占有重要地位,对已建成的应急避难场所选址进行评价,可为应急避难场所个体改进、布局优化和新建选址提供依据。本文在文献研究与天津市城市特点分析的基础上,从有效性、安全性、可达性3个维度构建包含8个评价因子的应急避难场所选址适宜性评价指标体系,应用层次分析法（AHP）确定指标权重。应用GIS空间分析技术建立应急避难场所空间点位分析模型和覆盖范围模型,对天津市27个应急避难场所进行适宜性评价,并对中心城区14个应急避难场所进行满足性评价。结果表明,天津市应急避难场所具有良好的基础,但总体适宜性水平有待进一步提高,尤其是安全性亟需加强;天津市中心城区人口密集,但应急避难场所数量少,服务区域有限,存在较大范围的覆盖盲区,其中和平区人均有效避难面积仅0.2m2,远小于人体最低占用面积0.6m2,达不到人均有效避难要求。     

基于钻孔截面变形方法(CBDM)测量岩石应力变化

本文发展了一种基于钻孔技术来监测岩石应力变化的钻孔截面变形法(CB-DM),该方法可以用来测量垂直于钻孔轴线的岩体的二维应力状态变化.本文通过载有激光位移传感器的样机,对该方法进行详细介绍,理论上分析测量结果的影响因子,证明该方法能够有效估测岩体的应力变化.     

预测多次波的逆散射级数方法与SRME方法及比较

逆散射级数方法和SRME方法是典型的两类基于波动方程的无需地下结构信息的自由表面多次波预测方法,本文详细讨论了这两类方法的基本思想、方法原理和实现思路,并对2维逆散射级数方法进行了降维简化,推导给出了1.5维逆散射级数衰减自由表面多次波的方法,减少了计算量,并降低了对3维规则观测系统的要求.利用经典SMAART模型数据测试比较了2维逆散射级数方法、1.5维逆散射级数方法及2维SRME方法预测自由表面多次波的效果及优缺点,比较了三者在方法实现、并行计算效率及对数据要求上的异同,并结合分析比较结果,给出了实际应用中方法选择的建议.     

基于二维VTI拟声波程函方程的椭圆各向异性立体层析反演

基于二维VTI介质拟声波程函方程,应用射线扰动理论建立了该方程控制下的数据空间各参数对于模型空间各个参数之间的线性关系,从而获得二维VTI介质拟声波程函方程的各向异性立体层析核函数.考虑到拟声波近似程函方程中η参数与ε和δ存在强烈耦合,本文首先探讨椭圆各向异性情形,为二维拟声波程函方程椭圆各向异性立体层析算法奠定了理论基础.同时也为日后推广到非椭圆各向异性情况提供了一种获得高质量初始模型的可靠途径.理论数据算例证实了Fréchet核函数求取的正确性以及在此基础上设计的工作流程实现两参数反演的可行性.

     

Urban land expansion and arable land loss of the major cities in China in the 1990s

China is a country with vast population and scarce arable land per capita. China’s population is more than 1.2 billion, about one-fifth of the world’s total, while the arable land area is only 0.106 hm2 per capita, less than half of the world’s average of 0.23 hm2[1]. Arable land conservation/food security has been acknowl- edged as one of the main factors affecting the sustain- able socio-economic development in China[2], which catches the special attention of many scholars at home and abr…     

Integration of principal components analysis and cellular automata for spatial decisionmaking and urban simulation

This paper discusses the issues about the correlation of spatial variables during spatial decisionmaking using multicriteria evaluation (MCE) and cellular automata (CA). The correlation of spatial variables can cause the malfunction of MCE. In urban simulation, spatial factors often exhibit a high degree of correlation which is considered as an undesirable property for MCE. This study uses principal components analysis (PCA) to remove data redundancy among a large set of spatial variables and determine ‘ideal points’ for land development. PCA is integrated with cellular automata and geographical information systems (GIS) for the simulation of idealized urban forms for planning purposes.     

Economic development,urban expansion,and sustainable development in Shanghai

Studies of urbanization effects in Chinese cities from the aspect of the coupled development of economy and environment are rare due to data limitations. This paper studied Shanghai’s fast urban expansion and examined the dynamic relationship between economic growth and environment consequences at the district level. We extracted data on urban built-up area and land surface temperature from remote sensing images. We analyzed the patterns of urban expansion and land use change and explained the dynamic relationship between economic development and environment conditions. We attributed the uneven economic development and environmental change in districts of Shanghai to four main institutional factors: (1) the role of the government, (2) the multi-level urban planning system, (3) land market reform, and (4) the economic restructuring.     

南通市场地综合区划

以场地工程地震环境评价为基础，通过南通市区建筑场地的工程地质条件研究和场地土动力特性的测试分析，查明了市区工程地质条件的空间分布规律和场地土的抗震性能；通过场地土动力特性研究和上层地震反应分析，编制了城市场地综合区划。为工程建设选址和工程地质勘察提供了地质基础资料，并给出工程抗震结构设计动参数，该研究成果可作为工程结构抗震设防的依     

乌鲁木齐市活断层数据库在城市建设中的作用

乌鲁木齐市活动断层信息数据库包含了大量的活断层实测数据及研究成果。研究城市地层3维模型及市区活动断裂对建设场地的影响,可供城市建设、政府决策、规划、土地利用、重大工程选址、建筑抗震设防和震时灾害的快速评估及指挥部门的应急救灾使用。     

Assessing spatial pattern of urban thermal environment in Shanghai, China

The aggravating urban thermal environment has considerable adverse effects on urban physical environment, energy consumption, and public health. Due to the complexity of factors contributing to the urban thermal environment, traditional statistical methods are insufficient for acquiring data and analyzing the impacts of human activities on the thermal environment, especially for identifying dominant factors. Based on thermal remote sensing imageries and Geographic Information System analysis, we assessed spatial pattern of urban thermal environment in Shanghai in 2008, and analyzed the factors contributing to the generation of urban heat island (UHI) using principal component analysis (PCA). We found that Shanghai had obvious UHI with uneven spatial pattern in 2008. Further, we identified three most important components leading to the variances of Shanghai’s UHI: the gradient from man-made to natural land cover, landscape configuration, and anthropogenic heat release. A linear model has thus been successfully constructed, implying that PCA is helpful in identifying major contributors to UHI. The findings are of significance for policy implication to urban thermal environment mitigation.     

Runoff response to multiple land-use changes and climate perturbations

Runoff response to multiple land-use changes and climate perturbations is distinct, and the main influencing factors vary significantly in different regions. However, few have simultaneously considered the effects of multiple land use changes (vegetation cover changes, terraces and check-dams construction, and urban expansion) and climatic perturbations (precipitation, potential evapotranspiration, and temperature) on runoff and constructed separate expressions for distinct study areas. This article attempted to determine the main influencing factors of runoff according to the fitting function in the eight subregions of the middle Yellow River (MYR), construct the expressions between the controlling parameter in the Budyko framework and the main factors, and quantify the contribution of climate factors and land use changes to runoff by combining the elasticity coefficient in each subregion. The results indicated that climate factors and land use changes could significantly impact controlling parameters, and there were differences between regions. Climate change promoted an increase in runoff, while land use change promoted its reduction, and the reduction value outweighed its increase. In terms of land use changes, increasing vegetation coverage could suppress runoff reduction, while constructing terraces and check-dams could promote its reduction. The urban expansion benefited runoff collection and, therefore, could suppress runoff reduction. Its absolute contribution rate exceeded 200% in apparent urban expansion areas. In addition, the contribution rates of land use to runoff changes in the northern arid and semi-arid regions were significantly higher than those in the southern, and they were more sensitive to land use changes. The research results can provide a reference for analysing the runoff response to different land-use changes and can further advance people's understanding of the water cycle.     

Unstructured grid generation using LiDAR data for urban flood inundation modelling

Inundation disasters, caused by sudden water level rise or rapid flow, occur frequently in various parts of the world. Such catastrophes strike not only in thinly populated flood plains or farmland but also in highly populated villages or urban areas. Inundation of the populated areas causes severe damage to the economy, injury, and loss of life; therefore, a proper management scheme for the disaster has to be developed. To predict and manage such adversity, an understanding of the dynamic processes of inundation flow is necessary because risk estimation is performed based on inundation flow information. In this study, we developed a comprehensive method to conduct detailed inundation flow simulations for a populated area with quite complex topographical features using LiDAR (Light Detection and Ranging) data. Detailed geospatial information including the location and shape of each building was extracted from the LiDAR data and used for the grid generation. The developed approach can distinguish buildings from vegetation and treat them differently in the flow model. With this method, a fine unstructured grid can be generated representing the complicated urban land features precisely without exhausting labour for data preparation. The accuracy of the generated grid with different grid spacing and grid type is discussed and the optimal range of grid spacing for direct representation of urban topography is investigated. The developed method is applied to the estimation of inundation flows, which occurred in the basin of the Shin‐minato River. A detailed inundation flow structure is represented by the flow model, and the flow characteristics with respect to topographic features are discussed. Copyright © 2010 John Wiley & Sons, Ltd.     

城镇化下河流水质变化及其与景观格局关系分析——以太湖流域苏州市为例

以河流近域景观格局与水环境质量间的关系为研究对象,基于2001年及2010年两期土地利用类型以及7条典型河流的溶解氧、氨氮、高锰酸盐指数、总磷、总氮5项水质指标,分析城镇化下苏州市河流水质与景观格局之间的关系及其变化规律.结果表明:(1)苏州市河流水质状况总体较差,但呈现一定的好转趋势.(2)河流水质受到城镇用地、旱地及水田的综合影响,并表现出尺度效应.其中城镇用地与旱地对河流水质恶化具有明显的作用,水田则反之.2001-2010年城镇用地及水田对水质的影响程度有所减弱,旱地则增强.(3)蔓延度指数、最大面积斑块比例对河流水质呈现负相关,斑块数量、斑块密度、香农均匀度指数、香农多样性指数则与水质呈现正相关.景观格局对于水质的影响在大范围缓冲区更为显著.研究结果可为苏州水环境管理及太湖流域城市空间开发提供一定的参考依据.