秦巴山区矿产资源分布及其与经济发展耦合研究

    Distribution of mineral resources and its coupling with economic development in the Qinling-Daba Mountains area

    • 摘要: 秦巴山区作为重要的矿产资源富集区,矿产资源对于区域社会经济的长远发展至关重要. 运用核密度分析、耦合协调模型等方法,对秦巴山区矿产资源特征和区域经济进行深入分析,结果显示:除湖北段内的沉积型矿床与断裂关系不大外,其余各地市(州)矿产资源分布主要集中于区域大断裂带上,且与核密度匹配较好;矿产资源禀赋方面,安康市、成都市、汉中市、重庆市和洛阳市的矿产资源综合评价值较高;矿产经济评价结果方面,郑州市、重庆市和洛阳市的矿产经济评价指数位居秦巴山区矿产经济综合评价值前列,矿产经济发展状况较区内其他地市要好;秦巴山区矿产资源与矿产经济发展水平总体耦合情况较好,中度以上耦合水平的地市占比达83%;从空间分布上看,秦巴山区东部和中部地区耦合度整体较高,西南部地区耦合度偏低,这可能与该地区海拔总体较高,且地质灾害频发等多种自然因素的制约相关;矿产资源滞后型地市和矿产资源-矿产经济同步型城市占比均为17.24%,矿产经济滞后型则为65.52%,从空间分布特点来看这些矿产资源滞后型和矿产资源-矿产经济同步型的地市均分布于秦巴山区中东部的边缘.

       

      Abstract: The Qinling-Daba Mountains area, as a key region rich in mineral resources, plays a crucial role in the long-term socioeconomic development of the region. With kernel density analysis and the coupling coordination model, this study provides an in-depth analysis of the characteristics of mineral resources and the regional economy in the Qinling-Daba Mountains area. The results show that, except for sedimentary deposits in the Hubei section, which are less related to fault zones, the distribution of mineral resources in the other cities (prefectures) is mainly concentrated along major regional fault zones and exhibits a good match with the kernel density estimates. In terms of mineral resource endowment, comprehensive evaluation values are relatively high in Ankang, Chengdu, Hanzhong, Chongqing, and Luoyang. Regarding the mineral economy evaluation, Zhengzhou, Chongqing, and Luoyang rank at the top of the comprehensive evaluation of the mineral economy in the Qinling-Daba Mountains area, indicating a better development status than other cities in the region. Overall, the coupling between mineral resources and the level of mineral economic development in the Qinling-Daba Mountains area is generally satisfactory, with cities at moderate or high coupling levels accounting for 83% of the total. Spatially, the coupling degree is relatively high in the eastern and central parts of the Qinling-Daba Mountains area, but relatively low in the southwestern part. This may be attributed to a combination of natural factors, including generally high altitudes and frequent geological disasters in the southwest. Cities of the mineral resource-lagging type and those of the mineral resource-mineral economy synchronous type each account for 17.24% of the total, while the proportion of cities of the mineral economy-lagging type is 65.52%. In terms of spatial distribution, these cities of the mineral-resource-lagging type and the synchronous type are distributed along the margins of the central-eastern part of the Qinling-Daba Mountains area.

       

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