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51.
Calculating Pollution Indices by Heavy Metals in Ecological Geochemistry Assessment and a Case Study in Parks of Beijing 总被引:4,自引:0,他引:4
Pollution index is a powerful tool for ecological geochemistry assessment. The commonly used pollution indices by heavy metals in soils and sediments were classified as two types of single index and integrated index in an algorithm point of view. Four single indices of contamination factor (or concentration factor), ecological risk factor, enrichment factor, and index of geo-accumulation were illustrated, and the reference values for calculating single indices were distinguished into background levels and threshold pollution values. Eight integrated indices were divided into two groups. One group is suitable for the normal distribution single indices including the sum, average, weighted average,vector modulus, and Nemerow pollution indices, and the other for log-normal distribution including the product, root of product, and weighted power product pollution indices. Using background levels as reference values, five contamination classes were divided, and the terminologies are suggested for the single and integrated indices to unify the assessment results. Software of EGAPI was developed in a single document interface to calculate the four single and eight integrated indices by heavy metals to assess the quality of soil and sediment ecological geochemistry. Pollution indices by heavy metals of Cu,Pb, and Zn in soils in parks of Beijing were calculated using EGAPI software, and these five contamination classes and terminologies suggested in this study were evaluated and used. Results ofintegrated indices of Cu, Pb, and Zn in soils indicated that the soil qualities are unpolluted as a whole and varied from low polluted to unpolluted status from the center to the outskirts of Beijing City. 相似文献
52.
53.
基于交互多模型的水下目标跟踪方法(英文) 总被引:1,自引:0,他引:1
According to the requirements of real-time performance and reliability in underwater maneuvering target tracking as well as clarifying motion features of the underwater target, an interacting multiple model algorithm based on fuzzy logic inference (FIMM) is proposed. Maneuvering patterns of the target are represented by model sets, including the constant velocity model (CA), the Singer mode~, and the nearly constant speed horizontal-turn model (HT) in FIMM technology. The simulation results show that compared to conventional IMM, the reliability and real-time performance of underwater target tracking can be improved by FIMM algorithm. 相似文献
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55.
GIS支持下的煤层气目标区模糊综合评价模型 总被引:4,自引:1,他引:3
地理信息系统(GIS)以空间数据库技术为核心,将空间要素与统计数据有机地结合在一起,具有直观灵活、分析功能强大、制表制图方便等优点。根据中国煤层气(CBM)目标区的特点,建立了4种原则下用于不同情形的煤层气目标区评价模型:第1种模型为全面考虑各个因素原则,第2种模型为只考虑重点因素原则,第3种模型为着重考虑重点因素原则,第4种模型为既全面考虑又兼顾重点因素原则。根据这4种模型,在常用GIS软件MapGIS基础上进行了二次开发并实现模型,以华北聚气区煤层气为例进行综合评价,目标区评价结果与实际情况基本相符。 相似文献
56.
Accuracy assessment of lidar-derived digital elevation models 总被引:2,自引:0,他引:2
Despite the relatively high cost of airborne lidar-derived digital elevation models (DEMs), such products are usually presented without a satisfactory associated estimate of accuracy. For the most part, DEM accuracy estimates are typically provided by comparing lidar heights against a finite sample of check point coordinates from an independent source of higher accuracy, supposing a normal distribution of the derived height differences or errors. This paper proposes a new methodology to assess the vertical accuracy of lidar DEMs using confidence intervals constructed from a finite sample of errors computed at check points. A non-parametric approach has been tested where no particular error distribution is assumed, making the proposed methodology especially applicable to non-normal error distributions of the type usually found in DEMs derived from lidar. The performance of the proposed model was experimentally validated using Monte Carlo simulation on 18 vertical error data-sets. Fifteen of these data-sets were computed from original lidar data provided by the International Society for Photogrammetry and Remote Sensing Working Group III/3, using their respective filtered reference data as ground truth. The three remaining data-sets were provided by the Natural Environment Research Council's Airborne Research and Survey Facility lidar system, together with check points acquired using high precision kinematic GPS. The results proved promising, the proposed models reproducing the statistical behaviour of vertical errors of lidar using a favourable number of check points, even in the cases of data-sets with non-normally distributed residuals. This research can therefore be considered as a potentially important step towards improving the quality control of lidar-derived DEMs. 相似文献
57.
居住单元是与人们生活密切相关的社区范围,其交通环境的优劣是衡量居住单元环境好坏的重要标准之一。高分辨遥感影像
的高空间分辨率特点为我们提供了研究居住单元交通环境的可能性。本文从区域交通环境、路网可达性出发,对城市居住单元交通
环境质量的遥感评价方法进行了研究,根据高分辨率遥感影像的特点构建了居住单元交通环境的多级指标评价体系,并对厦门市的
50个居住单元进行了评价分析。实验表明,利用高分辨率影像进行城市交通环境质量评价是一种成本较低,简便可行的方法。 相似文献
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59.
卓万生 《地质灾害与环境保护》2008,19(2):52-56
由于地质灾害的突发性和引发因素的复杂性,在及时和有效地掌握潜在隐患部位上还亟待进一步探索与细化,力求防灾抗灾工作有的放矢,以确保人民群众的生命财产损失降到最低限度。本文就基于山区的基本特征和房后边坡潜在地质安全隐患基本信息调查,简要分析房后边坡孕灾致灾环境,并针对它们的影响程度,采取层次分析(AHP)等方法来确定安全评价因子权重和安全系数,对构造安全评价结构作进一步研究。 相似文献
60.
三峡库区地质灾害易损性模糊综合评价 总被引:3,自引:1,他引:2
地质灾害是灾害危险性对承灾体易损性综合作用的结果,减灾应从减少地质灾害的发生频率和降低其易损性入手,限于目前的科学水平,人们难以改变地质灾害的发生过程,那么降低地质灾害易损性就成为减灾的重要措施,因此进行灾害易损性评价就显得尤为重要。本文以三峡库区为研究区,选取人口密度、国内生产总值密度等指标,运用模糊综合评判对其进行了定量评估。由于各指标因子在地质灾害易损性中的作用具有模糊性,因此运用模糊模型进行评价具有一定的意义。将库区地质灾害易损性程度划分为4个等级,研究结果表明,三峡库区地质灾害易损性程度总体较高。易损度较高的地区应强化减灾意识、调整人口结构以及加大防灾投入,以降低本地区的地质灾害易损性。 相似文献