无人机摄影测量技术应用于垃圾填埋场形变监测及库容储量分析

doi:10.13474/j.cnki.11-2246.2020.0384

测绘通报 ›› 2020, Vol. 0 ›› Issue (12): 27-31,117.doi: 10.13474/j.cnki.11-2246.2020.0384

无人机摄影测量技术应用于垃圾填埋场形变监测及库容储量分析

柏君¹, 董秀军¹, 陈立坚², 张旭², 谢梦阳², 杨俊宇¹

1. 成都理工大学环境与土木工程学院, 四川成都 610059;
2. 成都市城市管理科学研究院, 四川成都 610059

收稿日期:2020-02-20 出版日期:2020-12-25 发布日期:2021-01-06
通讯作者: 董秀军。E-mail:16704937@qq.com E-mail:16704937@qq.com
作者简介:柏君(1996-),男,硕士生,研究方向为岩土工程、地质灾害新技术。E-mail:2067147547@qq.com
基金资助:
国家重点研发计划（2018YFC1505202）；四川省科技厅重点研发项目（2019YFS0074）

Application of UAV photogrammetry technology in deformation monitoring and storage capacity analysis of landfill site

BAI Jun¹, DONG Xiujun¹, CHEN Lijian², ZHANG Xu², XIE Mengyang², YANG Junyu¹

1. College of environment and civil engineering, Chengdu University of Technology, Chengdu 610059, China;
2. Chengdu institute of urban management science, Chengdu 610059, China

Received:2020-02-20 Online:2020-12-25 Published:2021-01-06

摘要/Abstract

摘要： 快速监测垃圾填埋场固体物质的体积空间变化及准确评估有效库容，可为城市管理者科学决策和合理安排社会资源提供重要依据。无人机摄影测量技术具有机动灵活、数据获取快捷且精度高等优点，在众多领域都有较为广泛的应用。本文以成都市长安垃圾填埋场为例，利用低空无人机摄影测量技术获取填埋库区连续一年的影像数据，并对多期模型数据进行差分处理，分析填埋库区各区域的体积变化量及形变特征；建立库容储量预测模型，研究库容量的变化值与入场物质量的关系，对填埋库区的实际可容纳入场固体物质量进行预测。

关键词: 填埋库区, 无人机摄影测量技术, 多期差分, 形变特征, 库容模型

Abstract: The rapid monitoring of the spatial change of solid material storage in landfill and the accurate evaluation of the effective storage capacity can provide an important basis for city managers to make scientific decisions and rationally arrange social resources. The photogrammetry technology of UAV has the advantages of flexibility, fast data acquisition and high precision, and has been widely applied in many fields. Taking Changan landfill site in Chengdu in Sichuan province as an example, the researchers use the low-altitude UAV photogrammetry technology to obtain the landfill area image data for one year in a row. The volume variation and deformation characteristics of each area in the landfill reservoir area are analyzed based on the model difference. A storage capacity prediction model is established to study the relationship between the variation value of the storage capacity and the mass of the admission objects, and to predict the actual weight of the solid objects that can be admitted into the landfill area.

Key words: landfill reservoir area, UAV photogrammetry technology, multiphase difference, deformation characteristics, capacity of the model

中图分类号:

柏君, 董秀军, 陈立坚, 张旭, 谢梦阳, 杨俊宇. 无人机摄影测量技术应用于垃圾填埋场形变监测及库容储量分析[J]. 测绘通报, 2020, 0(12): 27-31,117.

BAI Jun, DONG Xiujun, CHEN Lijian, ZHANG Xu, XIE Mengyang, YANG Junyu. Application of UAV photogrammetry technology in deformation monitoring and storage capacity analysis of landfill site[J]. Bulletin of Surveying and Mapping, 2020, 0(12): 27-31,117.

参考文献

[1] 杨晓飞.矿山环境遥感动态监测方法与应用研究[D].北京:中国地质大学(北京),2014.
[2] 孙久虎,相恒茂,李浩,等.矿山遥感监测数据发布和核查方法研究[J].国土资源信息化,2017(1):26-29.
[3] 强建华,于浩.新疆矿山环境遥感监测成果综述[J].中国地质调查,2016,3(5):28-34.
[4] FRANCIONI M, SALVINI R, STEAD D, et al. An integrated remote sensing-GIS approach for the analysis of an open pit in the Carrara marble district, Italy:slope stability assessment through kinematic and numerical methods[J]. Computers & Geotechnics, 2015,67(6):46-63.
[5] 鲁斯嘉,王东生,李小兵,等.基于无人机平台的细颗粒物三维分布监测[J].科学技术与工程,2017,17(8):94-100.
[6] 黄皓中,陈建平,向杰,等.控制点布设对无人机遥感精度的影响[J].科学技术与工程,2018,18(13):310-313.
[7] METTERNICHT G, HURNI L, GOGU R. Remote sensing of landslides:an analysis of the potential contribution to geo-spatial systems for hazard assessment in mountainous environments[J].Remote Sensing of Environment, 2005, 98(2-3):284-303.
[8] 张李平.基于无人机遥感影像的大规模地形变化动态监测方法[J].黑龙江工业学院学报(综合版),2019,19(11):73-78.
[9] 曾凡洋,李长辉,宋杨,等.微型无人机在违法用地与违法建设动态监测中的应用[J].测绘通报,2017(11):152-154.
[10] 于堃,单捷,王志明,等.无人机遥感技术在小尺度土地利用现状动态监测中的应用[J].江苏农业学报,2019,35(4):853-859.
[11] 张春晓,文高进,王洪民,等.一种无人机动态监测遥感数据快速处理方法[J].测绘通报,2015(1):50-54.
[12] 章梦霞,郑新奇,刘波,等.无人机影像支持的矿区开采动态监测方法[J].测绘通报,2017(10):43-47.
[13] 郭晨,许强,彭双麒,等.无人机摄影测量技术在金沙江白格滑坡应急抢险中的应用[J].灾害学,2020,35(1):203-210.
[14] 曾飞翔,卢勤秀,苟胜国,等.小型低空无人机在非洲水电测绘中的应用[J].北京测绘,2019,33(11):1386-1389.
[15] 赖自力.北京威克露天铁矿山地质环境动态监测研究[D].北京:中国地质大学(北京),2018.
[16] 巨袁臻.基于无人机摄影测量技术的黄土滑坡早期识别研究[D].成都:成都理工大学,2017.
[17] 车荣强.概率论与数理统计[M].上海:复旦大学出版社,2012:101-103.

无人机摄影测量技术应用于垃圾填埋场形变监测及库容储量分析

Application of UAV photogrammetry technology in deformation monitoring and storage capacity analysis of landfill site

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