4.8 Review

Automatic High Frequency Monitoring for Improved Lake and Reservoir Management

期刊

ENVIRONMENTAL SCIENCE & TECHNOLOGY
卷 50, 期 20, 页码 10780-10794

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acs.est.6b01604

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资金

  1. COST (European Cooperation in Science and Technology) [NETLAKE COST Action ES1201]
  2. Ministry of Education, Youth and Sports of the Czech Republic [LD14045]
  3. Institute of Botany CAS [RVO 67985939]
  4. German Science Foundation (DFG) [GR1540/21-1, GR1540/23-1]
  5. DANIDA [1408-AU]
  6. Helmholtz Association
  7. German Federal Ministry of Education and Research
  8. Nordforsk (DOMQUA)
  9. Norwegian Research Council (Norklima ECCO)
  10. US National Science Foundation [EF1137327-GLEON]
  11. Natural Environment Research Council [ceh010010] Funding Source: researchfish
  12. Direct For Biological Sciences
  13. Division Of Environmental Biology [1137327] Funding Source: National Science Foundation

向作者/读者索取更多资源

Recent technological developments have increased the number of variables being monitored in lakes and reservoirs using automatic high frequency monitoring (AHFM). However, design of AHFM systems and posterior data handling and interpretation are currently being developed on a site-by-site and issue-by-issue basis with minimal standardization of protocols or knowledge sharing. As a result, many deployments become short-lived or underutilized, and many new scientific developments that are potentially useful for water management and environmental legislation remain underexplored. This Critical Review bridges scientific uses of AHFM with their applications by providing an overview of the current AHFM capabilities, together with examples of successful applications. We review the use of AHFM for maximizing the provision of ecosystem services supplied, by lakes and reservoirs (consumptive and non consumptive uses, food production, and recreation), and for reporting lake status in the EU Water Framework Directive. We also highlight critical issues to enhance the application of AHFM, and suggest the establishment of appropriate networks to facilitate knowledge sharing and technological transfer between potential users. Finally, we give advice on how modern sensor technology can successfully be applied on a larger scale to the management of lakes and reservoirs and maximize the ecosystem services they provide.

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