用于评估地质遗址科学价值的地貌-形态-构造多样性估算的统计方法:以伊朗卢特沙漠东南部为例

IF 0.9 Q3 GEOLOGY Geologos Pub Date : 2020-04-01 DOI:10.2478/logos-2020-0006
Pouya Sadeghi-Farshbaf, M. Khatib, Naser Rezaei
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引用次数: 1

摘要

摘要利用地形统计分析方法,对鲁特沙漠东南部地貌地貌多样性指数(dv-index)作为评价其地理旅游潜力的科学价值指标进行研究。大多数模型的科学指数评分是基于地质旅游者和专家的描述性评价。本研究对dv指数进行了统计分析,有助于专家根据科学的方法进行评分。dv-index由几个项控制。在本研究中,我们分析了地形连续性模式(TCP)分类和地形坡位相关性(TSPC)。为此,采用截面线网来分析边坡的连续性。采用绝对值和坡位两个参数进行TSPC分析。这两个评估项目的结果表明,dv指数的得分为1.46(满分为2)。在5分的情况下,这两个项目的得分是很高的。因此,对研究区dv指数的初步估算表明研究区具有重要的科学价值。
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A statistical approach to estimates of geomorphological-morphotectonic diversity for evaluating the scientific value of geosites: a case study from the southeastern Lut desert, Iran
Abstract The present study aims to investigate the diversity index (dv-index) of morphotectonic and geomorphological land-forms as one of the scientific value indices for evaluation of the geotouristic potential of the southeastern Lut desert using topographic statistical analysis. Scientific index scoring in most models is based on descriptive assessment by geotourists and experts. Statistical analysis of the dv-index in the present study helps experts to base their scoring on scientific methods. The dv-index is controlled by several items. In the present study, we analyse two of these, including the classification of topographic continuity pattern (TCP) and topographic slope position correlation (TSPC). For this purpose, a network of section lines is used to analyse slope continuity. The TSPC analysis is performed by using two parameters of absolute value and slope position. Results for these two evaluated items indicate a score of 1.46 (out of 2) for the dv-index. Given a rating of 5, the score obtained for the two items is a high one. Therefore, an initial estimate of the dv-index indicates a significant scientific value of the study area.
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来源期刊
Geologos
Geologos GEOLOGY-
CiteScore
1.70
自引率
0.00%
发文量
7
审稿时长
12 weeks
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