• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

利用无人机对露天矿粉尘扩散进行多维空间监测。

Multidimensional spatial monitoring of open pit mine dust dispersion by unmanned aerial vehicle.

机构信息

China Energy Investment Group Co., Ltd, Beijing, 100011, China.

State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, Beijing, 102209, China.

出版信息

Sci Rep. 2023 Apr 26;13(1):6815. doi: 10.1038/s41598-023-33714-x.

DOI:10.1038/s41598-023-33714-x
PMID:37100866
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10133240/
Abstract

Dust pollution is one of the most severe environmental issues in open pit mines, hindering green mining development. Open pit mine dust has characteristics of multiple dust-generating points, is irregular, influenced by climatic conditions, and has a high degree of distribution with a wide dispersion range in three dimensions. Consequently, evaluating the quantity of dust dispersion and controlling environmental pollution are crucial for supporting green mining. In this paper, dust monitoring above the open pit mine was carried out with an unmanned aerial vehicle (UAV) on board. The dust distribution patterns above the open pit mine were studied in different vertical and horizontal directions at different heights. The results show that the temperature changes less in the morning and more at noon in winter. At the same time, the isothermal layer becomes thinner and thinner as the temperature rises, which makes it easy for dust to spread. The horizontal dust is mainly concentrated at 1300 and 1550 elevations. The dust concentration is polarized at 1350-1450 elevation. The most serious exceedance is at 1400 elevation, with TSP (the concentration of total suspended particulate), PM10 (particulates with aerodynamic diameter < 10 μm), and PM2.5 (particulates with aerodynamic diameter < 2.5 μm) accounting for 188.8%, 139.5%, and 113.8%, respectively. The height is 1350-1450 elevation. Dust monitoring technology carried out by UAV can be applied to the study of dust distribution in the mining field, and the research results can provide reference for other open pit mines. It can also provide a basis for law enforcement part to carry out law enforcement, which has expanded and wide practical application value.

摘要

露天矿粉尘是露天矿最严重的环境问题之一,阻碍了绿色矿山的发展。露天矿粉尘具有多点产尘、不规则、受气候条件影响、分布高度三维分布广、分散度高等特点。因此,评估粉尘扩散量和控制环境污染对支持绿色矿山至关重要。本文采用无人机搭载粉尘监测系统,对露天矿上空的粉尘分布进行监测,研究了不同高度、不同垂直和水平方向的露天矿上空粉尘分布规律。结果表明,冬季早晨气温变化较小,中午气温变化较大。同时,随着温度的升高,等温层变得越来越薄,这使得粉尘更容易扩散。水平方向的粉尘主要集中在 1300 和 1550 米高程处。1350-1450 米高程处的粉尘浓度呈极化分布,最严重的超标出现在 1400 米高程处,TSP(总悬浮颗粒物)、PM10(空气动力学直径小于 10μm 的颗粒物)和 PM2.5(空气动力学直径小于 2.5μm 的颗粒物)浓度分别为 188.8%、139.5%和 113.8%。高度在 1350-1450 米之间。无人机粉尘监测技术可应用于矿山粉尘分布研究,研究结果可为其他露天矿山提供参考,也可为执法部门开展执法提供依据,具有拓展和广泛的实际应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/a3cdd7710f01/41598_2023_33714_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/aa1d3fc1bcb8/41598_2023_33714_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/f923ca608e5f/41598_2023_33714_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/4d28a9ac9208/41598_2023_33714_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/3269c8d3305a/41598_2023_33714_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/57b02fe6d81a/41598_2023_33714_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/6a18f9db0e0b/41598_2023_33714_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/2a626dee8d12/41598_2023_33714_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/067e2a708ebd/41598_2023_33714_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/b345d17609ff/41598_2023_33714_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/54a16db11647/41598_2023_33714_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/ab400ffb72b9/41598_2023_33714_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/41d2b0a39db8/41598_2023_33714_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/778e01d9d9bf/41598_2023_33714_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/a3cdd7710f01/41598_2023_33714_Fig14_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/aa1d3fc1bcb8/41598_2023_33714_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/f923ca608e5f/41598_2023_33714_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/4d28a9ac9208/41598_2023_33714_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/3269c8d3305a/41598_2023_33714_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/57b02fe6d81a/41598_2023_33714_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/6a18f9db0e0b/41598_2023_33714_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/2a626dee8d12/41598_2023_33714_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/067e2a708ebd/41598_2023_33714_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/b345d17609ff/41598_2023_33714_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/54a16db11647/41598_2023_33714_Fig10_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/ab400ffb72b9/41598_2023_33714_Fig11_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/41d2b0a39db8/41598_2023_33714_Fig12_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/778e01d9d9bf/41598_2023_33714_Fig13_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c6a/10133240/a3cdd7710f01/41598_2023_33714_Fig14_HTML.jpg

相似文献

1
Multidimensional spatial monitoring of open pit mine dust dispersion by unmanned aerial vehicle.利用无人机对露天矿粉尘扩散进行多维空间监测。
Sci Rep. 2023 Apr 26;13(1):6815. doi: 10.1038/s41598-023-33714-x.
2
Analysis of the Dust-Concentration Distribution Law in an Open-Pit Mine and Its Influencing Factors.露天矿粉尘浓度分布规律及其影响因素分析
ACS Omega. 2022 Nov 24;7(48):43609-43620. doi: 10.1021/acsomega.2c04439. eCollection 2022 Dec 6.
3
Monitoring and prediction of dust concentration in an open-pit mine using a deep-learning algorithm.使用深度学习算法监测和预测露天矿中的粉尘浓度
J Environ Health Sci Eng. 2021 Feb 3;19(1):401-414. doi: 10.1007/s40201-021-00613-0. eCollection 2021 Jun.
4
Annual dust pollution characteristics and its prevention and control for environmental protection in surface mines.露天煤矿年度粉尘污染特征及其环境保护防治措施
Sci Total Environ. 2022 Jun 15;825:153949. doi: 10.1016/j.scitotenv.2022.153949. Epub 2022 Feb 18.
5
Dust distribution in open-pit mines based on monitoring data and fluent simulation.基于监测数据和 fluent 模拟的露天矿粉尘分布。
Environ Monit Assess. 2018 Oct 4;190(11):632. doi: 10.1007/s10661-018-7004-9.
6
Dust pollution in cold region Surface Mines and its prevention and control.寒冷地区露天矿山的粉尘污染及其防治。
Environ Pollut. 2022 Jan 1;292(Pt A):118293. doi: 10.1016/j.envpol.2021.118293. Epub 2021 Oct 6.
7
Temporal-Spatial Distribution of Vehicle Transportation Pavement Dust Migration in an Open-Pit Mine.露天矿车辆运输路面粉尘迁移的时空分布
ACS Omega. 2020 Jun 23;5(26):16030-16036. doi: 10.1021/acsomega.0c01460. eCollection 2020 Jul 7.
8
Influence of vehicle and pavement characteristics on dust resuspension from soil pavement of open-pit mine.车辆和路面特性对露天矿土壤路面扬尘的影响。
Sci Total Environ. 2023 Jun 20;878:163252. doi: 10.1016/j.scitotenv.2023.163252. Epub 2023 Mar 31.
9
A study on movement characteristics and distribution law of dust particles in open-pit coal mine.露天煤矿粉尘颗粒运动特性及分布规律研究
Sci Rep. 2021 Jul 19;11(1):14703. doi: 10.1038/s41598-021-94131-6.
10
An Improved Machine Learning Approach for Optimizing Dust Concentration Estimation in Open-Pit Mines.一种改进的机器学习方法,用于优化露天矿粉尘浓度估算。
Int J Environ Res Public Health. 2023 Jan 11;20(2):1353. doi: 10.3390/ijerph20021353.

引用本文的文献

1
Optimization and field application of an eco-friendly molasses-based dust suppressant for open-pit coal mine haul roads.一种用于露天煤矿运输道路的环保型糖蜜基抑尘剂的优化与现场应用
Sci Rep. 2025 Jul 18;15(1):26039. doi: 10.1038/s41598-025-11965-0.
2
Environmental and Health Risk Assessment of Fugitive Dust from Magnesium Slag Yards.镁渣场扬尘的环境与健康风险评估
Toxics. 2025 Apr 15;13(4):307. doi: 10.3390/toxics13040307.
3
Experimental Study on LTE Mobile Network Performance Parameters for Controlled Drone Flights.用于受控无人机飞行的LTE移动网络性能参数的实验研究

本文引用的文献

1
A study on movement characteristics and distribution law of dust particles in open-pit coal mine.露天煤矿粉尘颗粒运动特性及分布规律研究
Sci Rep. 2021 Jul 19;11(1):14703. doi: 10.1038/s41598-021-94131-6.
2
A UAV-Based Air Quality Evaluation Method for Determining Fugitive Emissions from a Quarry during the Railroad Life Cycle.基于无人机的空气质量评估方法,用于确定铁路生命周期中采石场的无组织排放。
Sensors (Basel). 2021 May 5;21(9):3206. doi: 10.3390/s21093206.
3
Protocol development for real-time ship fuel sulfur content determination using drone based plume sniffing microsensor system.
Sensors (Basel). 2024 Oct 14;24(20):6615. doi: 10.3390/s24206615.
4
Influence of Recirculation Flow on the Dispersion Pattern of Blasting Dust in Deep Open-Pit Mines.再循环风流对深部露天矿爆破粉尘扩散模式的影响
ACS Omega. 2023 Aug 21;8(34):31353-31364. doi: 10.1021/acsomega.3c03528. eCollection 2023 Aug 29.
利用基于无人机的羽流嗅探微传感器系统实时测定船舶燃料硫含量的方案开发。
Sci Total Environ. 2020 Nov 20;744:140885. doi: 10.1016/j.scitotenv.2020.140885. Epub 2020 Jul 16.
4
Developing of Low-Cost Air Pollution Sensor-Measurements with the Unmanned Aerial Vehicles in Poland.开发低成本空气污染传感器-波兰的无人机测量。
Sensors (Basel). 2020 Jun 24;20(12):3582. doi: 10.3390/s20123582.
5
Determination of the vertical profile of particle number concentration adjacent to a motorway using an unmanned aerial vehicle.使用无人机测定高速公路附近颗粒物数浓度的垂直分布。
Environ Pollut. 2017 Nov;230:134-142. doi: 10.1016/j.envpol.2017.06.033. Epub 2017 Jun 23.
6
Development and Validation of a UAV Based System for Air Pollution Measurements.基于无人机的空气污染测量系统的开发与验证
Sensors (Basel). 2016 Dec 21;16(12):2202. doi: 10.3390/s16122202.
7
Towards the Development of a Low Cost Airborne Sensing System to Monitor Dust Particles after Blasting at Open-Pit Mine Sites.面向开发一种低成本机载传感系统以监测露天矿场爆破后的粉尘颗粒
Sensors (Basel). 2015 Aug 12;15(8):19667-87. doi: 10.3390/s150819667.