Near real-time monitoring of the Biscayne Bay Watershed (South Florida, USA) and major tributaries by water quality research buoys

被引:0
|
作者
Troxell, Kassidy [1 ,2 ,3 ]
Schonhoff, Bradley [1 ]
Kershaw, Mark [1 ]
Ceccopieri, Milena [1 ,2 ,3 ]
Crowl, Todd [1 ]
Gardinali, Piero [1 ,2 ,3 ]
机构
[1] Institute of Environment, Florida International University, 11200 SW 8th Street, Modesto A. Maidique Campus, Miami, 33199, FL
[2] Department of Chemistry and Biochemistry, Florida International University, Street, Marine Science Building 230/232, Biscayne Bay Campus, North Miami, 33181, FL
[3] Environmental Analysis Research Laboratory, Florida International University, Street, Marine Science Building 232, Biscayne Bay Campus, North Miami, 33181, FL
基金
美国国家科学基金会;
关键词
Baseline conditions; Biscayne Bay; Early warning signals; Remote sensing; Seasonal variations; Water quality;
D O I
10.1016/j.scitotenv.2024.177203
中图分类号
学科分类号
摘要
Biscayne Bay (South Florida) is a subtropical estuary that requires freshwater inputs to maintain its ecological balance. Over the past 50+ years, the bay has been disrupted by contaminated freshwater released from tributaries and canals, negatively affecting its water quality. Specific areas of the bay have been recognized as impaired with respect to nutrients, chlorophyll and bacterial contamination. High human population densities in cities and municipalities within Miami-Dade County significantly influence urban water discharges with large amounts of pollutants released to relatively small areas. In August of 2020, 2021, and 2022, the negative consequences of continued pollution inputs triggered nutrient pulses resulting in significant fish kills followed by atypical algae blooms. To understand these events, we deployed water quality research buoys to monitor the complex system of environmental nutrient contamination in the freshwater canals and saltwater marine environments of Biscayne Bay. The system was designed to produce real-time continuous data for a variety of water quality parameters including chlorophyll a (Chl-a), conductivity, dissolved oxygen (DO), fluorescent dissolved organic matter (FDOM), pH, salinity, temperature, and turbidity. The buoys were strategically positioned in segments of the bay and major outfalls of tributaries and canals. The water quality data collected from the buoys gave a deeper understanding of normal baseline conditions of the tributaries and bay. Seasonal fluctuations of these parameters are significantly different in the dry and wet seasons with tidal influence evident in the managed tributaries. This paper elucidates the utility of a buoy network system for characterizing baseline conditions of various parameters in aquatic environments with varying degrees of environmental degradation. Furthermore, it underscores how a water quality network, comprised of stationary buoys, can serve as an early warning mechanism for stochastic events and provide invaluable data to help guide long-term restoration activities in the Greater Biscayne Bay Watershed. © 2024 Elsevier B.V.
引用
收藏
相关论文
共 43 条
  • [21] 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
  • [22] A Solar Powered Long Range Real-Time Water Quality Monitoring System by LoRaWAN
    Liu, Yan-Ting
    Lin, Bo-Yi
    Yue, Xiao-Feng
    Cai, Zong-Xuan
    Yang, Zi-Xian
    Liu, Wei-Hong
    Huang, Song-Yi
    Lu, Jun-Lin
    Peng, Jing-Wen
    Chen, Jen-Yeu
    2018 27TH WIRELESS AND OPTICAL COMMUNICATION CONFERENCE (WOCC), 2018, : 55 - 56
  • [23] Microbial estimation using real-time monitoring of vegetable wash water quality parameters
    Kwon, Hyojin
    Choe, Eunsom
    Hossain, Md. Iqbal
    Park, Ki-Hwan
    Lee, Dong-Un
    Choi, Changsun
    POSTHARVEST BIOLOGY AND TECHNOLOGY, 2023, 205
  • [24] Advances in real-time monitoring of water quality using automated analysis of animal behaviour
    Bownik, Adam
    Wlodkowic, Donald
    SCIENCE OF THE TOTAL ENVIRONMENT, 2021, 789
  • [25] UAS-based real-time water quality monitoring, sampling, and visualization platform (UASWQP)
    Ryu, Jae Hyeon
    HARDWAREX, 2022, 11
  • [26] SMART WATER-QUALITY MONITORING SYSTEM BASED ON ENABLED REAL-TIME INTERNET OF THINGS
    Ramadhan, Ali J.
    JOURNAL OF ENGINEERING SCIENCE AND TECHNOLOGY, 2020, 15 (06): : 3514 - 3527
  • [27] An improved real-time water quality monitoring embedded system with IoT on unmanned surface vehicle
    Vasudevan, Shriram K.
    Baskaran, Balraj
    ECOLOGICAL INFORMATICS, 2021, 65
  • [28] Design of a real-time water quality monitoring and control system using Internet of Things (IoT)
    Chafa, Allen T.
    Chirinda, Gibson P.
    Matope, Stephen
    COGENT ENGINEERING, 2022, 9 (01):
  • [29] Near real-time satellite detection and monitoring of aquatic algae and cyanobacteria: how a combination of chlorophyll-a indices and water-quality sampling was applied to north Texas reservoirs
    Stengel, Victoria G.
    Trevino, Jessica M.
    King, Tyler V.
    Ducar, Scott D.
    Hundt, Stephen A.
    Hafen, Konrad C.
    Churchill, Christopher J.
    JOURNAL OF APPLIED REMOTE SENSING, 2023, 17 (04)
  • [30] 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)