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Nonlinear models and GIS technology for mineralization processes simulation and mineral potential mapping

Nonlinear models and GIS technology for mineralization processes simulation and mineral potential mapping
用于矿化过程模拟和矿产潜力测绘的非线性模型和 GIS 技术
批准号:
183993-2008
负责人:
Cheng, Qiuming
金额:
$2.26万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2011
资助国家:
加拿大
项目状态:
已结题
起止时间:
2011-01-01 至 2012-12-31

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中文摘要
翻译
矿产资源对大多数国家的可持续发展至关重要。另一方面,在许多欠发达地区,资源的利用往往造成威胁人类健康和生态环境系统的严重问题。对成矿过程的非线性进行量化,建立矿产资源空间分布模型,是矿产勘查和资源优化利用的重要内容。根据非线性和复杂科学技术的新发展,地壳的矿化可以被认为是具有奇异性质的非线性过程,它可能导致异常的质量聚集和元素富集,通常局限于空间上的狭窄区间。当矿石作为资源开采时,矿石中的有毒元素可能会扩散到矿山周围的地表介质中,造成环境问题。类似于其他类型的危险地质过程,例如地震、滑坡、飓风、洪水和森林火灾,这些非线性过程的最终产物有一个共同点,那就是它们可以通过新的非线性理论和分形或多重分形模型来建模。新的地球观测技术和高分辨率信息极大地促进了非线性理论和高技术地理信息技术的发展,以模拟这些单一过程的复杂性,并进行矿产资源和环境综合评价。本应用程序旨在研究新的非线性理论、模型和GIS技术,用于绘制矿产资源和评估潜在的环境影响。主要包括三个方面的研究目标:(1)研究矿化过程奇异性、广义自相似性和自组织临界性的非线性新理论和新方法;(2)非线性地质信息提取与整合方法研究;(3)发展先进的地理信息系统技术,以提高矿产勘探的准确性,降低勘探成本和进行环境评价。
英文摘要
Mineral resources are essential for sustainable development of most nations. On the other hand, utilization of resources often causes serious problem threatening human health, ecological and environmental systems in many underdeveloped regions. It is essential both for mineral exploration and for resource optimum utilization to quantify non-linearity of mineralization processes and to model the spatial distribution of mineral resources . According to the new development of non-linear and complex science and technology, mineralization in the Earth's crust can be considered as nonlinear processes with singular properties that may result in anomalous mass accumulation and element concentration that, generally, are confined to narrow intervals in space. When the ore is mined as resources, the toxic elements in the ore may spread into the surface media around the mine causing environmental problems. Similar to other types of hazardous geo-processes for example earthquakes, landslides, hurricanes, flooding, and forest fire, the end products of these non-linear processes have in common that they can be modelled by the new non-linear theories and models of fractals or multifractals. New earth observation technologies and high resolution information have greatly promoted the development of non-linear theory and high-tech geo-informatics technology for modelling the complexity of these singular processes and for mineral resources and environmental comprehensive assessments. The research proposed in this application is devoted to study new non-linear theory, models and GIS techniques for mapping mineral resources and evaluating potential environmental impact. It involves three main objectives: (1) study of new non-linear theory and new methodology for characterizing singularity, generalized self-similarity and self-organized criticality of mineralization processes; (2) study of non-linear methods for geo-information extraction and geo-information integration; and (3) development of advanced GIS technologies for increasing the accuracy of mineral exploration and reduce the costs of exploration and for environmental assessment.
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会议论文
Development of GIS technology and singularity-based nonlinear theories for prediction of mineral deposit
  • 批准号:
    RGPIN-2015-03698
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2019
  • 负责人:
    Cheng, Qiuming
  • 依托单位:
Development of GIS technology and singularity-based nonlinear theories for prediction of mineral deposit
  • 批准号:
    RGPIN-2015-03698
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2018
  • 负责人:
    Cheng, Qiuming
  • 依托单位:
Development of GIS technology and singularity-based nonlinear theories for prediction of mineral deposit
  • 批准号:
    RGPIN-2015-03698
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2017
  • 负责人:
    Cheng, Qiuming
  • 依托单位:
Development of GIS technology and singularity-based nonlinear theories for prediction of mineral deposit
  • 批准号:
    RGPIN-2015-03698
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.97万
  • 财政年份:
    2016
  • 负责人:
    Cheng, Qiuming
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
河北南部地区灰霾的来源和形成机制研究
  • 批准号:
    41105105
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    25.0万元
  • 批准年份:
    2011
  • 负责人:
    王丽涛
  • 依托单位:
保险风险模型、投资组合及相关课题研究
  • 批准号:
    10971157
  • 项目类别:
    面上项目
  • 资助金额:
    24.0万元
  • 批准年份:
    2009
  • 负责人:
    胡亦钧
  • 依托单位:
RKTG对ERK信号通路的调控和肿瘤生成的影响