Measurement of Vertical Profiles of the Atmospheric Surface Layer With Low-Cost Instrumentation on Board a Drone
Keywords:
natural disasters, surface layer, low-cost arduino instrumentation
Abstract
Atmospheric natural disasters can have their damage mitigated if meteorological alerts are disseminated on time. Among the ways to get data related to weather conditions are the use of atmospheric profilers and numerical models. Such resources can be used for studies related to the surface layer, which covers a range from 20 to 200 meters below the low troposphere. In order to make atmospheric experiments achievable, without great financial expenditure, a low-cost atmospheric profiler was developed together with the Laboratory of Monitoring and Numerical Modeling of Climate Systems (LAMMOC) of the Federal Fluminense University (UFF), to be on board a drone and based on prototyping with Arduino, which had as sensors the DHT22 for measuring temperature and relative humidity and the BMP280 for measuring atmospheric pressure.
Downloads
How to Cite
References
Aosong Eletronics (2017) Table 1: DHT22 sensor testing results for measuring temperature and humidity..
Arduino (2023) Unknown Title. 3.
P Barcellos, M Cataldi (2020) Flash Flood and Extreme Rainfall Forecast through One-Way Coupling of WRF-SMAP Models: Natural Hazards in Rio de Janeiro State. 11, 834.
Bosch (2018) Bosch Sensortec Announces Next-Generation Magnetometer. 302(7943), 41-41.
Ministério Brasília, Da Infraestrutura (2021) Agência Nacional de Aviação Civil. 94(2).
Brasília (2007) Ministério da Integração Nacional.
Javier Burgués, Silvia Doñate, María Esclapez, Lidia Saúco, Santiago Marco (2022) Characterization of odour emissions in a wastewater treatment plant using a drone-based chemical sensor system. 846, 157290.
Adriana Bianchi Azevedo (1998) Avaliação e adequação dos currículos de defesa civil dos cursos de formação e aperfeiçoamento do corpo de bombeiros do rio de janeiro com vista à redução do risco de desastres. 13-40.
M Cataldi (2022) Atmospheric experimentation with low-cost radiosonde attached to a drone.
Chih-Chung Chang, Chih-Yuan Chang, Jia-Lin Wang, Ming-Ren Lin, Chang-Feng Ou-Yang, Hsiang-Hsu Pan, Yen-Chen Chen (2018) A study of atmospheric mixing of trace gases by aerial sampling with a multi-rotor drone. 184, 254-261.
Zhuldyz Darynova, Benoit Blanco, Catherine Juery, Ludovic Donnat, Olivier Duclaux (2023) Data assimilation method for quantifying controlled methane releases using a drone and ground-sensors. 17, 100210.
Kristin Flemons, Barry Baylis, Aurang Khan, Andrew Kirkpatrick, Ken Whitehead, Shahab Moeini, Allister Schreiber, Stephanie Lapointe, Sara Ashoori, Mishal Arif, Byron Berenger, John Conly, Wade Hawkins (2022) The use of drones for the delivery of diagnostic test kits and medical supplies to remote First Nations communities during Covid-19. 50(8), 849-856.
(2015) Disaster risk governance. 117-130.
P Gasparetto (2011) Relações entre a altura média da camada limite planetária e as condições de instabilidade atmosférica na região metropolitana de Fortaleza -Ceará. 68.
C Graham, I O'connor, L Broderick, M Broderick, O Jensen, H Lally (2022) Drones can reliably, accurately and with high levels of precision, collect large volume water samples and physio-chemical data from lakes. 824, 153875.
L Järvi (2023) Determinants of spatial variability of air pollutant concentrations in a street canyon network measured using a mobile laboratory and a drone. 856.
Theodore Karachalios, Dimitris Kanellopoulos, Fotis Lazarinis (2021) Arduino Sensor Integrated Drone for Weather Indices: A Prototype for Pre-flight Preparation. 21(1).
A Laitinen (2019) Utilization of drones in vertical profile measurements of the atmosphere. 74.
Lee Hwang, H Lee, J (2022) Vertical measurements of roadside air pollutants using a drone. 13.
Clarice Lira, Marcio Cataldi (2016) AVALIAÇÃO DO ENSEMBLE DE PARAMETRIZAÇÕES FÍSICAS DO MODELO MM5 NO EVENTO DE PRECIPITAÇÃO INTENSA OCORRIDO ENTRE OS DIAS 05 E 06 DE ABRIL DE 2010 NO MUNICÍPIO DO RIO DE JANEIRO. 38(1).
E Marcelino (2007) QUESTIONÁRIO DE DESASTRES NATURAIS NA REGIÃO SUL DO RIO GRANDE DO SUL.
Adnan Masic, Boran Pikula, Dzevad Bibic, Vahidin Hadziabdic, Almir Blazevic (2021) Drone Measurements of Temperature Inversion Characteristics and Particulate Matter Vertical Profiles in Urban Environments. 0123-0126.
M Mcroberts, Básico (2011) Unknown Title.
F Oliveira, H Amorim, C Dereczynski (2016) Montagem de uma radiossonda de baixo custo.
Cintia Guimarães Ferreira, Ricardo Tadeu Lopes, Davi Ferreira Oliveira, Thais Maria Pires Do Santos, Olga Oliveira Araújo, Fabiana Dias Fonseca Martins, Gabriela Ribeiro Pereira (2016) Morphological study of defects in laminated joints of composite materials using microCT. 24(3).
F Ribeiro (2022) Desenvolvimento de sensor embarcado para medição de velocidade do vento. 111.
S Scholz (2023) AED delivery at night -Can drones do the Job? A feasibility study of unmanned aerial systems to transport automated external defibrillators during night-time. 185.
Phablo Sousa, Karla Paula, Daniela Honório, David Silva, Alessandro Martins, Maurício Bolzan (2022) Lançamento de uma sonda atmosférica de baixo custo. 44.
A Christen, R Jassal, T Black, N Grant, I Hawthorne, M Johnson, S-C Lee, M Merkens (2017) Summertime greenhouse gas fluxes from an urban bog undergoing restoration through rewetting. 17, 03.
Tobin, B (1997) Natural hazards: explanation and integration.
A Vytovtov (2023) Scientific Bases Development for Oil Spill Accidents Automated Detection Using Drones. 68.
Published
2023-10-30
Issue
Section
License
Copyright (c) 2023 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.