UAS-based real-time water quality monitoring, sampling, and visualization platform (UASWQP)

被引:14
|
作者
Ryu, Jae Hyeon [1 ]
机构
[1] Univ Idaho, Moscow, ID 83843 USA
来源
HARDWAREX | 2022年 / 11卷
基金
美国食品与农业研究所;
关键词
UASWQP; Unmanned aircraft system (UAS); Unmanned aircraft vehicle (UAV); Water quality; Internet of Things (IoT); ThingSpeak; Drone;
D O I
10.1016/j.ohx.2022.e00277
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Urbanization, land use change, and agricultural activities continue to affect water quality standards at the urban-rural interface, such as the Boise River System located in Idaho, USA. This project demonstrates how the off-the-shelf unmanned aircraft system (UAS, also known as drone) equipped with other necessary hardware attachments can be used to monitor real-time water quality components, including pH, water temperature, electric conductivity (EC), and dissolved oxygen at open waterbodies. The proposed UAS-based hardware platform for water quality studies (UASWQP) appears a promising tool to advance environmental research activities, especially for impaired waterways (e.g., rivers, lakes, and reservoirs). The preliminary result shows that the proposed UASWQP effectively displays water quality components in real-time to the ThingSpeak Cloud web services, while an adequate water sample was also collected easily for further analysis at laboratory facilities, when needed. It is anticipated that UASWQP will be a useful tool to promote environmental stewardship by contributing to the water research communities in years to come.(c) 2022 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
引用
收藏
页数:9
相关论文
共 50 条
  • [1] IoT Based Real-Time Water Quality Monitoring and Visualization System Using an Autonomous Surface Vehicle
    Beshah, Wondimagegn T.
    Moorhead, Jane
    Dash, Padmanava
    Moorhead, Robert J.
    Herman, James
    Sankar, M. S.
    Chesser, Daniel
    Lowe, Wes
    Simmerman, Jessica
    Turnage, Gray
    OCEANS 2021: SAN DIEGO - PORTO, 2021,
  • [2] IoT Based Real-Time Water Quality Monitoring and Classification
    Das Gupta, Sujaya
    Zambare, M. S.
    Kulkarni, N. M.
    Shaligram, A. D.
    INNOVATION IN ELECTRICAL POWER ENGINEERING, COMMUNICATION, AND COMPUTING TECHNOLOGY, IEPCCT 2019, 2020, 630 : 661 - 670
  • [3] Real-time water quality monitoring for distribution networks in IoT environment
    Khatri, Punit
    Gupta, Karunesh Kumar
    Gupta, Raj Kumar
    INTERNATIONAL JOURNAL OF ENVIRONMENT AND SUSTAINABLE DEVELOPMENT, 2022, 21 (03) : 346 - 360
  • [4] Real-Time Water Quality Monitoring with Chemical Sensors
    Yaroshenko, Irina
    Kirsanov, Dmitry
    Marjanovic, Monika
    Lieberzeit, Peter A.
    Korostynska, Olga
    Mason, Alex
    Frau, Ilaria
    Legin, Andrey
    SENSORS, 2020, 20 (12) : 1 - 22
  • [5] Monitoring of microbiological water quality by real-time PCR
    Zhou, W.
    Kageyama, K.
    Li, F.
    Yuasa, A.
    ENVIRONMENTAL TECHNOLOGY, 2007, 28 (05) : 545 - 553
  • [6] Real-Time Wireless Water Quality Monitoring System Based on MODBUS Protocol
    Zhang Yun
    Zhang Fei
    Hong Zhonghua
    INDUSTRIAL INSTRUMENTATION AND CONTROL SYSTEMS II, PTS 1-3, 2013, 336-338 : 1703 - +
  • [7] Analysis of Real-Time Water Quality Monitoring Data Based on Matlab Software
    Han Xiao-gang
    Huang Ting-lin
    2009 WRI WORLD CONGRESS ON SOFTWARE ENGINEERING, VOL 4, PROCEEDINGS, 2009, : 414 - 418
  • [8] Real-Time Anomaly Detection for Water Quality Sensor Monitoring Based on Multivariate Deep Learning Technique
    El-Shafeiy, Engy
    Alsabaan, Maazen
    Ibrahem, Mohamed I.
    Elwahsh, Haitham
    SENSORS, 2023, 23 (20)
  • [9] Real-Time Water Quality Monitoring and Estimation in AIoT for Freshwater Biodiversity Conservation
    Wang, Yuhao
    Ho, Ivan Wang-Hei
    Chen, Yang
    Wang, Yuhong
    Lin, Yinghong
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (16) : 14366 - 14374
  • [10] Real-time remote monitoring system for aquaculture water quality
    Luo Hongpin
    Li Guanglin
    Peng Weifeng
    Song Jie
    Bai Qiuwei
    INTERNATIONAL JOURNAL OF AGRICULTURAL AND BIOLOGICAL ENGINEERING, 2015, 8 (06) : 136 - 143