共查询到19条相似文献,搜索用时 78 毫秒
1.
2.
3.
生态敏感性评价是制定生态环境规划、区域环境政策的重要依据。文章利用生态敏感性相关理论,在营丘镇调研数据和影像遥感数据基础上,选取高程、坡度、水域、用地类型、道路交通5个敏感因子,构建评价指标体系;运用层次分析法确定各敏感因子权重;利用GIS多因子加权叠加法对山东营丘镇生态敏感性进行综合评价,得到营丘镇生态敏感性的空间分布。结果显示:区域生态敏感性的空间分布存在较大差异,敏感程度总体较高,极敏感区、高敏感区、中敏感区、低敏感区、非敏感区分别占总面积的10.09%、12.50%、25.57%、32.24%、19.60%。研究营丘镇的生态敏感性,并进行生态功能分区,提出分区保护和城镇规划建设措施,既满足发展需要,又能将生态环境影响最小化,保证营丘镇生态环境可持续发展。 相似文献
4.
生境系统重要性和开发利用可行性是无居民海岛开发利用的重要依托。文章采用层次分析法与德尔菲法确定指标权重,针对研究区域特点,建立无居民海岛开发利用适宜性评价指标体系,在各因子分值量化处理后,定义相应指数,利用互斥矩阵定位无居民海岛开发适宜性类型分级。研究表明:长三角的生态屏障——九段沙岛,为低度适宜开发型海岛,无居民海岛开发利用适宜性评价指标体系适用于九段沙海岛。在开发利用方面,遵循可持续开展角度原则,九段沙应该保护和修复生境系统环境、从严把控开发强度、开展湿地保护。 相似文献
5.
本文以遥感(RS)和地理信息系统(GIS)为技术支撑,通过特尔斐专家评价法,建立了湿地公园生态敏感性综合评价指标体系,对济西国家湿地公园进行了生态敏感性评价。结果表明:水域湿地、植被类型为高度敏感因子,高程、植被覆盖度、景观格局、景观生态价值为中度敏感因子,坡度为弱度敏感因子;湿地公园综合生态敏感度划分为高度敏感、中度敏感、弱度敏感、不敏感4个等级,面积占比分别为32.5%、18.2%、28.2%、21.1%,高敏感区与中敏感区集中分布于水库、滩涂、水渠及周边区域内;湿地公园综合生态敏感度属于中度敏感。 相似文献
6.
本文针对目前海洋观测网业务化运行的海洋站(点)缺少评价体系的现状,首次应用层次分析法进行海洋站(点)观测能力、运行质量等综合能力评价的研究。通过构建评价指标层次结构,结合定性和定量分析,构建判断矩阵,建立了层次分析法模型。对海洋站(点)的特点和影响其运行质量的主要因素进行分析,从海洋站(点)的布局、观测环境代表性、仪器设备、基础设施和运行管理等方面,设计了海洋站(点)综合评价体系,评价指标权重合理准确,可为海洋站(点)的综合评价和分级管理提供理论依据。 相似文献
7.
三维地震资料在深水油气勘探井场地质灾害评价中的运用——以南海琼东南海区为例 总被引:2,自引:0,他引:2
在深水油气田勘探开发过程中,井场地质灾害的调查评价是一项不可缺少的重要环节。深水井场调查较浅水相比,投入成本巨大。利用三维高分辨率地震资料进行深水油气田井场地质灾害研究过程中,积累了一定经验,认为油气勘探过程中的三维地震浅层数据经高分辨率处理后,在一定条件下可满足深水油气田区井场地质灾害的研究和评价。以琼东南勘查区为例,介绍了利用三维地震数据经"三高"特殊处理,进行深水油气田井场地质灾害解释的初步成果。 相似文献
8.
9.
本文旨在针对当前海域节约集约利用的要求下,缺乏低效用海客观评价体系的现状。采用层次分析法和德尔菲专家打分法等技术,在DPSIR框架下,从指标选取、权重设立以及综合评价等方面构建低效用海评价指标体系,并在浙江省普陀区进行应用示范。结果显示,普陀区41个填海项目中,有17个项目评价等级为优,有4个评价等级为良好。等级为一般和较差的项目各10个,占评价项目48.7%。这表明普陀区填海项目中批而未填、填而未建或闲置用海情况较为明显。本研究在指标体系构建和实际应用方面具有创新性和先进性,对于低效用海的节约集约利用具有一定的实际意义和应用价值。 相似文献
10.
11.
12.
青岛市崂山区具有特殊的自然地理和地质环境条件,在内、外动力地质作用以及人类活动的影响下,引发了崩塌、滑坡、泥石流等突发性地质灾害.本文在详细调查区内地质灾害隐患点的基础上,现场布设以滑坡力、裂缝变形、危岩体位移等自动传感监测装置,监测数据通过采集发送装置无线传输到远程服务器,在地质灾害远程监测预警平台上分析处理后实时发布到网络,若监测数据达到或超出报警值则由平台对外及时进行预警,构建了1套综合的崂山地质灾害远程监测预警系统. 相似文献
13.
14.
15.
崂山隆起位于南黄海盆地中部,海相中-古生界分布广泛且厚度大,其构造演化经历了加里东、海西、印支、燕山和喜山等多期构造运动,早期油气聚集可能在后期受到不同程度的破坏,因此,油气保存条件是崂山隆起油气勘探能否取得突破的关键因素。通过综合分析构造运动中抬升剥蚀作用和断裂作用与油气保存的关系,以及盖层条件与油气保存的关系,探讨崂山隆起内部油气保存条件的差异性以指导该区油气勘探。结果表明:崂山隆起呈差异性油气保存特点,位于崂山隆起中南部的高石稳定带是一个早期断裂不发育的弱变形区,后期构造运动改造破坏程度较弱,特别是下古生界具备较为优越的生储盖组合,构造多以断背斜和低幅宽缓背斜为主,发育多个大型圈闭,岩浆活动相对较弱,油气保存条件较为优越;而崂山隆起北部的青峰变形带断裂系统发育,地层褶皱变形强烈,单个圈闭规模较小,油气保存条件相对较差;高石稳定带中南部是进一步油气勘探和调查参数井钻探的重点目标区。 相似文献
16.
17.
应急管理是海洋灾害风险管理和防灾减灾工作的重要内容。应急管理是一个综合复杂的系统,需要各组成部门的协调一致。文章以连江海洋减灾综合示范区为例,详细分析了海洋灾害应急管理体系的总体构成以及完善海洋综合防灾减灾应急预案体系的重要作用。通过连江海域海洋减灾综合示范区建设,进一步规范风暴潮和海浪灾害以及赤潮灾害应急处置流程,提升各级海洋综合减灾能力,为其他沿海地区开展海洋灾害综合示范区建设和海洋综合灾害应急管理体系的构建提供经验和参考。 相似文献
18.
Dawn J. Wright Elizabeth O'Dea Judith B. Cushing Janice E. Cuny Douglas R. Toomey 《Marine Geodesy》2013,36(1-2):73-86
During several decades of investigation, the East Pacific Rise seafloor-spreading center at 9°-10°N has been explored by marine geologists, geophysicists, chemists, and biologists, and has emerged as one of the best studied sections of the global midocean ridge. It is an example of a region for which there is now a great wealth of observational data, results, and data-driven theoretical studies. However, these have yet to be fully utilized, either by research scientists or educators. While the situation is improving, a large amount of data, results, and related theoretical models still exist either in an inert, noninteractive form (e.g., journal publications) or as unlinked and currently incompatible computer data or algorithms. Presented here is the prototype of a computational environment and toolset, called the Virtual Research Vessel, to improve the situation by providing marine scientists and educators with simultaneous access to data, maps, and numerical models. While infrastructure is desired and needed for ready access to data and the resulting maps via web GIS in order to link disparate data sets (data to data), it is argued that data must also be linked to models for better exploration of new relations between observables, refinement of numerical simulations, and the quantitative evaluation of scientific hypotheses. For widespread data access, web GIS is therefore only a preliminary step rather than a final solution, and the ongoing implementation of the Virtual Research Vessel (scheduled for final completion in 2004-2005) is a case study for the midocean ridge community to test the effectiveness of moving beyond the data-to-data mode towards data-to-models and data-to-interpretation. 相似文献
19.
Dawn J. Wright Elizabeth O'Dea Judith B. Cushing Janice E. Cuny Douglas R. Toomey 《Marine Geodesy》2003,26(1):73-86
During several decades of investigation, the East Pacific Rise seafloor-spreading center at 9°-10°N has been explored by marine geologists, geophysicists, chemists, and biologists, and has emerged as one of the best studied sections of the global midocean ridge. It is an example of a region for which there is now a great wealth of observational data, results, and data-driven theoretical studies. However, these have yet to be fully utilized, either by research scientists or educators. While the situation is improving, a large amount of data, results, and related theoretical models still exist either in an inert, noninteractive form (e.g., journal publications) or as unlinked and currently incompatible computer data or algorithms. Presented here is the prototype of a computational environment and toolset, called the Virtual Research Vessel, to improve the situation by providing marine scientists and educators with simultaneous access to data, maps, and numerical models. While infrastructure is desired and needed for ready access to data and the resulting maps via web GIS in order to link disparate data sets (data to data), it is argued that data must also be linked to models for better exploration of new relations between observables, refinement of numerical simulations, and the quantitative evaluation of scientific hypotheses. For widespread data access, web GIS is therefore only a preliminary step rather than a final solution, and the ongoing implementation of the Virtual Research Vessel (scheduled for final completion in 2004-2005) is a case study for the midocean ridge community to test the effectiveness of moving beyond the data-to-data mode towards data-to-models and data-to-interpretation. 相似文献