Aerial Mapping of Odorous Gases in a Wastewater Treatment Plant Using a Small Drone

被引:26
作者
Burgues, Javier [1 ,2 ,3 ]
Esclapez, Maria Deseada [4 ]
Donate, Silvia [4 ]
Pastor, Laura [4 ]
Marco, Santiago [1 ,2 ,3 ]
机构
[1] Inst Bioengn Catalonia IBEC, Baldiri Reixac 10-12, Barcelona 08028, Spain
[2] Barcelona Inst Sci & Technol, Carrer Comte Urgell 187, Barcelona 08036, Spain
[3] Univ Barcelona, Dept Elect & Biomed Engn, Marti & Franques 1, Barcelona 08028, Spain
[4] Depurac Aguas Mediterraneo DAM, Ave Benjamin Franklin 21,Parque Tecnol, Paterna 46980, Spain
关键词
drone; UAV; gas sensors; odour; air pollution; industrial emissions; mapping; environmental monitoring; SENSORS;
D O I
10.3390/rs13091757
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Wastewater treatment plants (WWTPs) are sources of greenhouse gases, hazardous air pollutants and offensive odors. These emissions can have negative repercussions in and around the plant, degrading the quality of life of surrounding neighborhoods, damaging the environment, and reducing employee's overall job satisfaction. Current monitoring methodologies based on fixed gas detectors and sporadic olfactometric measurements (human panels) do not allow for an accurate spatial representation of such emissions. In this paper we use a small drone equipped with an array of electrochemical and metal oxide (MOX) sensors for mapping odorous gases in a mid-sized WWTP. An innovative sampling system based on two (10 m long) flexible tubes hanging from the drone allowed near-source sampling from a safe distance with negligible influence from the downwash of the drone's propellers. The proposed platform is very convenient for monitoring hard-to-reach emission sources, such as the plant's deodorization chimney, which turned out to be responsible for the strongest odor emissions. The geo-localized measurements visualized in the form of a two-dimensional (2D) gas concentration map revealed the main emission hotspots where abatement solutions were needed. A principal component analysis (PCA) of the multivariate sensor signals suggests that the proposed system can also be used to trace which emission source is responsible for a certain measurement.
引用
收藏
页数:12
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