基于机器学习算法的区域地质环境承载力评价方法研究  

Study on evaluation method of geological environment carrying capacity based on machine learning algorithm

作　　者：李得立 李小磊 梁元[1,3] 辜俊莹 LI Deli;LI Xiaolei;LIANG Yuan;GU Junying(College of Management Science,Chengdu University of Technology,Chengdu 610059,China;China Institute of Geo-Environment Monitoring,Beijing 100081,China;Geomathematics Key Laboratory of Sichuan Province, Chengdu University of Technology,Chengdu 610059,China)

机构地区：[1]成都理工大学管理科学学院,四川成都610059 [2]中国地质环境监测院,北京100081 [3]数学地质四川省重点实验室(成都理工大学),四川成都610059

出　　处：《中国矿业》2018年第9期75-81,共7页China Mining Magazine

基　　金：中国地质调查局发展研究中心项目"基于机器学习的地质环境综合评价模型算法研发"资助(编号:中地调研合同[2018]第59号);国家重点研发计划"深部矿产地球化学三维建模与预测"资助(编号:2017YFC0601505);2018年四川省科技计划项目"基于环境评价信息管理系统的机器学习关键技术研究"资助(编号:2018JY0524);国家自然科学基金项目"面向低碳生态旅游的自然风景区系统多属性评价与仿真研究"资助(编号:71501019);2017年四川省科技计划项目"钒钛磁铁矿勘查开发非线性评价方法与应用研究"资助(编号:2017JY0135)

摘　　要：随着国家对生态文明建设重视程度不断提高,人们对所住区域的地质环境承载能力越来越关心,也对地质环境承载力评价的方法提出了新的要求。本文引入机器学习方法 ,以地质环境承载力的评价理论为基础,提出了基于机器学习算法的地质环境承载力评价方法。通过梳理国内外地质环境评价相关成果,分析地质环境的各种评价要素,提炼出影响地质环境承载力的主控因素,在此基础上建立适合于机器学习的地质环境承载力评价指标体系,再结合机器学习方法,构建基于机器学习算法的地质环境承载力评价模型,对区域地质环境承载力进行评价,并以眉山市彭山区为例,进行承载力评价,为其他区域的地质环境承载力评价提供应用示范和评价方法。With the increasing attention paid by the state to the construction of ecological civilization,people have been paying more attention to the bearing capacity of the geological environment in the area they live in,and new requirements have been put forward for the evaluation methods of bearing capacity of geological environment.This paper introduces machine learning method,and based on the evaluation theory of geological environment bearing capacity,puts forward the evaluation method of geological environment bearing capacity based on machine learning algorithm.By analyzing geological environment evaluation at home and abroad related results,analyzing various evaluation factors of geological environment and refining the main controlling factors that affect the bearing capacity of geological environment,based on this,the evaluation index system of the bearing capacity of geological environment suitable for machine learning is established,and combined with machine learning methods,build the bearing capacity of geological environment evaluation model based on machine learning algorithms,evaluate the regional geological environmental bearing capacity,taking Pengshan district of Meishan city as an example,carrying capacity evaluation is carried out,which provides a demonstration and evaluation method for the evaluation of the bearing capacity of the geological environment in other regions.

关 键 词：地质环境承载力 指标体系 机器学习 决策树算法 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] X141[自动化与计算机技术—控制科学与工程]