Spatio-temporal characteristics and influencing factors of mineral resources exploitation based on geographically weighted regression

Journal Information

J. Hefei Univ. Tech. (Nat. Sci.), Jun.2023, Vol.46 No.6: 842-848

DOI: 10.3969/j.issn.1003-5060.2023.06.019

Authors

REN Fangyu $ ^{1,2} $, CHEN Yihua $ ^{1} $, CHEN Congxi $ ^{3} $, REN Shenglian $ ^{1} $, LI Zhen $ ^{1} $, WU Zhang $ ^{1} $

(1. School of Resources and Environmental Engineering, Hefei University of Technology, Hefei 230009, China; 2. Jilin Earthquake Agency, Changchun 130117, China; 3. Information Center, Ministry of Natural Resources, Beijing 100036, China)

Abstract and Keywords

Abstract: Based on the mineral resources exploitation data from 2011 to 2017, this paper analyzes the spatial and temporal evolution characteristics of mineral resources exploitation in the Yangtze River Economic Belt, and uses geographically weighted regression (GWR) model to explore the factors influencing mineral resources exploitation and the extent of their effects. The main conclusions are as follows: the number of mineral resources exploitation in the Yangtze River Economic Belt has shown an increasing trend since 2011, and the mining is dominated by non-metallic minerals. The spatial differences of mineral resources exploitation in the Yangtze River Economic Belt are gradually increasing, and the main concentrated areas are distributed in the upstream and midstream areas, forming a contiguous spatial distribution with Guizhou and Jiangxi as the main density cores. During the study period, the mineral resources exploitation activities were mainly carried out in the upstream and midstream areas, and the mining center was located in Guizhou. Mineral resources exploitation is significantly affected by factors such as altitude, road network density and regional GDP, and the effects have obvious spatial heterogeneity. The results of the study can provide reference for mineral resources management and utilization.

Keywords: mineral resources exploitation; spatio-temporal characteristic; geographically weighted regression(GWR); Yangtze River Economic Belt

作者信息

任芳语 $ ^{1,2} $，陈义华 $ ^{1} $，陈从喜 $ ^{3} $，任升莲 $ ^{1} $，李臻 $ ^{1} $，吴章 $ ^{1} $

(1. 合肥工业大学资源与环境工程学院，安徽合肥 230009；2. 吉林省地震局，吉林长春 130117；3. 自然资源部信息中心，北京 100036)

摘要和关键词

摘要: 文章基于2011—2017年矿产资源开采数据,分析长江经济带矿产资源开采时空演变特征,并利用地理加权回归(geographically weighted regression, GWR)模型探究矿产资源开采的影响因素及其作用程度。研究结果表明:2011年以来长江经济带矿产资源开采数量呈增长趋势,且开采以非金属矿产为主;长江经济带矿产资源开采空间差异逐渐增大,主要集聚区分布在上、中游地区,形成以贵州和江西为主要密度核心的连绵状空间分布;研究期内矿产资源开采活动主要在上、中游地区开展,开采重心位于贵州;矿产资源开采受到海拔高度、路网密度、地区生产总值等因素的影响显著,其效应具有明显空间异质性。研究结果可为矿产资源管理与利用提供参考。

关键词: 矿产资源开采；时空特征；地理加权回归（GWR）；长江经济带

Funding

国家自然科学基金资助项目（72074198）；自然资源部部门预算资助项目（121101000000180044）

合肥工业大学学报(自然科学版)

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