基于北斗的无人机城市道路抑尘动态监测系统评估
|
摘要
面对环境污染不断加剧的问题,推动多种手段进行空气质量的改善,不同的措施对提高空气质量的成果不尽相同.其中洒水降尘是各城市普遍使用的一种改善环境的常用手段,对洒水车抑尘效果进行可靠量化的评价与描述具有重要的价值.本系统依靠北斗的精确定位获取无人机搭载的传感器在不同时空下动态采集数据的位置信息和颗粒物浓度.通过实地实验采集处理数据,能够探测城市道路扬尘状况,可以为动态空气质量监测提供一种有效的手段.
Facing the increasing problems of environmental pollution, a variety of means have been explored to improve the air quality,however,different measures have different influences on improving air quality.Sprinkler is a commonly used means to improve the environment.It is of great value to evaluate and describe the dust suppression effect of sprinkler reliably and quantitatively.Based on the precise positioning of the BDS,the dynamical position information and particle concentration in different time and space collected by UAV equipped with the sensors are obtained.The data collected and processed by field experiments can be used to detect the dust status of urban roads and provide an effective means for dynamic air quality monitoring.
Facing the increasing problems of environmental pollution, a variety of means have been explored to improve the air quality,however,different measures have different influences on improving air quality.Sprinkler is a commonly used means to improve the environment.It is of great value to evaluate and describe the dust suppression effect of sprinkler reliably and quantitatively.Based on the precise positioning of the BDS,the dynamical position information and particle concentration in different time and space collected by UAV equipped with the sensors are obtained.The data collected and processed by field experiments can be used to detect the dust status of urban roads and provide an effective means for dynamic air quality monitoring.
引文
[1] 任婉侠,薛冰,张琳,等.中国特大型城市空气污染指数的时空变化[J].生态学杂志,2013,32(10):2788-2796.
[2] 余晔,夏敦胜,陈雷,等.兰州市PM10污染变化特征及其成因分析[J].环境科学,2010,31(1):22-28.
[3] SHEEHAN P,CHENG E,ENGLISH A,et al.China's response to the air pollution shock[J].Nature Climate Change,2014,4(5):306-309.
[4] CHU P C,CHEN Y,LU S,et al.Particulate air pollution in Lanzhou,China[J].Environment International,2008,34(5):698-713.
[5] 李广弟.单片机基础[M].北京:北京航空航天大学出版社,2001:2-95.
[6] 吴汉平.无人机系统导论[M].北京:电子工业出版社,2003.
[7] 刘海颖.卫星导航原理与应用[M].北京:国防工业出版社,2013:23-132.
[8] 胡淼,吴端法,李齐良,等.基于CCD侧向散射激光雷达的PM2.5浓度测量研究[J].光学学报,2016,36(11):1-6.
[9] 金雷,张金碧,张莉,等.大气颗粒物近前向光散射特性研究[J].光学学报,2016,36(5):1-6.
[10] 麻晓敏,陶宗明,马明俊,等.基于CCD的侧向散射激光雷达信号提取方法[J].光学学报,2014,34(2):1-6.
[11] 李磊,熊涛,胡湘阳,等.浅论无人机应用领域及前景[J].地理空间信息,2010,8(5):7-9.
[12] 彭艳,叶金伟,张利勇,等.无人机三维空气质量监测研究[J].测绘科学,2017,23(11):147-151.
[13] 闵天,彭艳鹏,周长雯,等.航测用无人机实战操作技巧[J].地理空间信息,2010,8(4):7-9.
[14] 贺泓,王新明,王跃思,等.大气灰霾追因与控制[J].中国科学院院刊,2013,28(3):344-352.
[15] 郑玫,张延君,闫才青,等.上海PM2.5工业源谱的建立[J].中国环境科学,2013,33(8):1354-1359.
[2] 余晔,夏敦胜,陈雷,等.兰州市PM10污染变化特征及其成因分析[J].环境科学,2010,31(1):22-28.
[3] SHEEHAN P,CHENG E,ENGLISH A,et al.China's response to the air pollution shock[J].Nature Climate Change,2014,4(5):306-309.
[4] CHU P C,CHEN Y,LU S,et al.Particulate air pollution in Lanzhou,China[J].Environment International,2008,34(5):698-713.
[5] 李广弟.单片机基础[M].北京:北京航空航天大学出版社,2001:2-95.
[6] 吴汉平.无人机系统导论[M].北京:电子工业出版社,2003.
[7] 刘海颖.卫星导航原理与应用[M].北京:国防工业出版社,2013:23-132.
[8] 胡淼,吴端法,李齐良,等.基于CCD侧向散射激光雷达的PM2.5浓度测量研究[J].光学学报,2016,36(11):1-6.
[9] 金雷,张金碧,张莉,等.大气颗粒物近前向光散射特性研究[J].光学学报,2016,36(5):1-6.
[10] 麻晓敏,陶宗明,马明俊,等.基于CCD的侧向散射激光雷达信号提取方法[J].光学学报,2014,34(2):1-6.
[11] 李磊,熊涛,胡湘阳,等.浅论无人机应用领域及前景[J].地理空间信息,2010,8(5):7-9.
[12] 彭艳,叶金伟,张利勇,等.无人机三维空气质量监测研究[J].测绘科学,2017,23(11):147-151.
[13] 闵天,彭艳鹏,周长雯,等.航测用无人机实战操作技巧[J].地理空间信息,2010,8(4):7-9.
[14] 贺泓,王新明,王跃思,等.大气灰霾追因与控制[J].中国科学院院刊,2013,28(3):344-352.
[15] 郑玫,张延君,闫才青,等.上海PM2.5工业源谱的建立[J].中国环境科学,2013,33(8):1354-1359.