杨思萌, 马佳雯, 杨淳, 等. 新疆昆仑山国家公园潜力区地貌资源价值评价研究[J]. 自然保护地,2024,4(0):1−13. DOI: 10.12335/2096-8981.2024022701
引用本文: 杨思萌, 马佳雯, 杨淳, 等. 新疆昆仑山国家公园潜力区地貌资源价值评价研究[J]. 自然保护地,2024,4(0):1−13. DOI: 10.12335/2096-8981.2024022701
YANG S M, MA J W, YANG C, et al. Evaluation method of geomorphic resources in Xinjiang, China: taking the Kunlun Altun Mountain Potential Zone as an example[J]. Natural Protected Areas, 2024, 4(0): 1−13. DOI: 10.12335/2096-8981.2024022701
Citation: YANG S M, MA J W, YANG C, et al. Evaluation method of geomorphic resources in Xinjiang, China: taking the Kunlun Altun Mountain Potential Zone as an example[J]. Natural Protected Areas, 2024, 4(0): 1−13. DOI: 10.12335/2096-8981.2024022701

新疆昆仑山国家公园潜力区地貌资源价值评价研究

Evaluation method of geomorphic resources in Xinjiang, China: taking the Kunlun Altun Mountain Potential Zone as an example

  • 摘要:
    目的 构建新疆地貌资源价值空间分布评价体系可以更直观地认识新疆各地区地貌价值空间分布的异质性,为重点保护区域的确定和新疆国家公园的分区规划提供科学依据和决策支持。
    方法 综合参考有关文献及现行评价体系,提出7个新疆地貌资源评价指标,运用层次分析法与德尔菲法确定各个指标的相对权重,并根据指标特性对可量化与不可量化的指标制定不同的赋值方法,最后基于各指标的权重与得分,通过GIS加权分析得出地貌资源价值分布的评价结果。
    结果 以昆仑山潜力区为例进行评价,结果表明地貌资源等级高的区域零星分布在潜力区东南部,地貌资源等级为中高的区域散布在潜力区东部,地貌资源等级中的区域散布在潜力区东部,地貌资源等级低的区域分布在潜力区西部。
    结论 本研究得出的评价结果能更加直观、全面地展示新疆地貌资源空间分布,为新疆国家公园潜力区的建设提供了基础数据,有助于支持新疆国家公园的选址、规划和保护项目设计,确保公园的高质量建设和发展。同时,本研究构建的评价体系可为新疆其他地区的地貌资源评价提供方法借鉴,有利于拓宽地貌资源的研究和应用。

     

    Abstract:
    Objectives To represent the distribution of geomorphological values in Xinjiang and to identify key protection areas. To this end, an evaluation system for the spatial distribution of geomorphological resource value in Xinjiang, China has been constructed. The resulting system will provide a scientific basis and decision-making support for the zoning planning of Xinjiang national parks.
    Methods Based on an analysis of the existing literature and the current evaluation system, this study proposed seven evaluation indexes for geomorphic resources in Xinjiang. The relative weights of each index were determined using the AHP and Delphi methods, and different evaluation methods were developed for quantifiable and unquantifiable indicators, in accordance with the characteristics of the indexes. Subsequently, a GIS-based weighted analysis was conducted to derive the evaluation results for the distribution of geomorphic resource value, utilizing the assigned weights and scores for each indicator.
    Results The results demonstrated that the regions exhibiting high geomorphic resource potential were distributed through the southeastern portion of the Kunlun potential area. The middle-high geomorphic resources were scattered in the eastern part of the potential area. The regions of geomorphic resources were scattered in the east of the potential area. The regions with low geomorphic resources are distributed in the west of the potential area.
    Conclusion The evaluation results derived in this study can display the spatial distribution of geomorphic resources in Xinjiang in a more intuitive and comprehensive manner, and provide basic data for the construction of potential areas of Xinjiang National Park. The evaluation system constructed in this study can be conducive to supporting the site selection, planning, and protection project design of Xinjiang National Park, thereby ensuring the high-quality construction and development of the park. Simultaneously, the evaluation system constructed in this study can provide methodological references for the evaluation of geomorphic resources in other regions of Xinjiang, facilitating the broadening of research and application of geomorphic resources.

     

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