电力勘测设计Issue(5)：88-95,8.DOI:10.13500/j.dlkcsj.issn1671-9913.2025.05.015
面向输变电工程的区域第四系空间信息预测研究
Research on Prediction of Regional Quaternary Spatial Information for Power Transmission and Transformation Engineering
张俊 1苏金龙 1黄泽华 1殷禹宇 1郑冬冬1
作者信息
- 1. 安徽华电工程咨询设计有限公司,安徽 合肥 230022
- 折叠
摘要
Abstract
In this paper,we extracted 11 evaluation factors based on DEM,geological map,remote sensing image,geotechnical investigation data of power grid,etc.,and built the quaternary spatial information prediction model based on eXtreme Gradient Boosting(XGBoost)algorithm.Then the model was applied to Xuanzhou District,Xuancheng City,Anhui Province,and the spatial distribution of the Quaternary soil thickness in this area has mapped.The results show that the prediction accuracy of the total samples is 86.81%～96.13%,the overall classification accuracy is 91.15%,and the Kappa coefficient is 0.88.The overall learning and prediction ability of the model are strong,the prediction accuracy of the model is high,and the prediction results have high credibility.The model has a certain theoretical basis and a good application prospect in the prediction and extraction of Quaternary spatial information.关键词
输变电工程/第四系/土层厚度/空间信息/XGBoostKey words
power transmission and transformation engineering/Quaternary system/soil thickness/spatial information/eXtreme Gradient Boosting分类
信息技术与安全科学引用本文复制引用
张俊,苏金龙,黄泽华,殷禹宇,郑冬冬..面向输变电工程的区域第四系空间信息预测研究[J].电力勘测设计,2025,(5):88-95,8.
