[矿产资源型区域生态脆弱性评价及其驱动机制]。

Q2 Environmental Science
Nan Guo, Yu Nong, Xiao-Hui Yang, An-Min Li, Fu-Qiang Li
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引用次数: 0

摘要

定西矿产资源丰富,地貌复杂,生态环境与经济发展的矛盾突出。因此,研究定西市的生态脆弱性及其驱动机制,对于区域生态环境的保护与管理以及矿山恢复的分类与评价方法具有重要意义。结合4种筛选方法和4种机器学习预测模型,从自然环境因子和社会环境因子中筛选出19个基本环境因子,通过训练预测模型和测试预测模型对定西市生态脆弱性的空间分布特征进行对比分析。基于筛选法原理,对选取的基本环境因素进行相关性分析、主成分分析、回归分析和重要性分析,揭示其驱动机制。结果表明:①基于筛选方法的预测模型预测精度均在80%以上,满足生态脆弱性评价的精度要求。因此,该组合模型可作为矿山生态环境评价和生态脆弱性评价的一种新方法。②定西市生态脆弱区呈“东北高、中部低、西南高”的空间分布格局。中部、西部和东南部地区的生态环境优于东北和西南地区。③研究区年平均降水量、道路密度和河网密度是气候、人类活动和复杂地形共同作用的结果,是生态脆弱性的主要驱动因素。④历史矿区确实是一个严重的生态脆弱区,其他类型矿区也与该地区的生态脆弱性密切相关。因此,及时治理和修复矿区是保护生态环境的关键环节。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Ecological Vulnerability Evaluation and Its Driving Mechanism of Mineral Resource-based Region].

Dingxi has abundant mineral resources and complex landforms, and the contradiction between ecological environment and economic development is prominent. Thus, studying the ecological vulnerability and driving mechanism of Dingxi City has great significance for the protection and management of the regional ecological environment and the classification and evaluation methods of mine restoration. Based on a combination of four screening methods and four machine learning prediction models, 19 basic environmental factors were selected from natural and social environmental factors, and the spatial distribution characteristics of ecological vulnerability in Dingxi City were compared and analyzed by using training and testing prediction models. Based on the principle of screening method, correlation, principal component analysis, regression analysis, and importance analysis of the selected basic environmental factors were carried out to reveal the driving mechanism. The results follow: ① The prediction accuracy of the prediction model based on the screening method was entirely above 80%, which meets the accuracy requirements of ecological vulnerability assessment. Therefore, the combined model can be used as a new method for mine ecological environment assessment and ecological vulnerability assessment. ② The ecologically fragile area of Dingxi City showed a spatial distribution pattern of "high in the northeast, low in the middle, and high in the southwest." The ecological environment in the central, western, and southeastern regions is better than the environment in the northeast and southwest regions. ③ The annual average precipitation, road density, and river network density in the study area, which are the results of the combined effects of climate, human activities, and complex topography, are the main driving factors of ecological vulnerability. ④ The historical mining area is indeed a serious ecologically fragile area, and other types of mining areas are also closely related to the ecological vulnerability in the region. Therefore, the timely treatment and restoration of mining areas is a key link in the protection of the ecological environment.

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来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
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