Advanced Continuous Monitoring System—Tools for Water Resource Management and Decision Support System in Salt Affected Delta
Agriculture (Switzerland), ISSN: 2077-0472, Vol: 13, Issue: 2
2023
- 26Citations
- 55Captures
- 2Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Agriculture, Vol. 13, Pages 369: Advanced Continuous Monitoring System—Tools for Water Resource Management and Decision Support System in Salt Affected Delta
Agriculture, Vol. 13, Pages 369: Advanced Continuous Monitoring System—Tools for Water Resource Management and Decision Support System in Salt Affected Delta Agriculture doi: 10.3390/agriculture13020369 Authors:
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Research from University of Zagreb in the Area of Agriculture Published (Advanced Continuous Monitoring System-Tools for Water Resource Management and Decision Support System in Salt Affected Delta)
2023 MAR 13 (NewsRx) -- By a News Reporter-Staff News Editor at Agriculture Daily -- Data detailed on agriculture have been presented. According to news
Review Description
The greatest environmental problem facing the world today is climate change, with a rise in sea level being one of the most important consequences, especially in low-lying coastal areas, such as river deltas where changes are exacerbated by human impacts, leading to increased seawater intrusion into coastal aquifers and the degradation of water quality. Water quality monitoring systems are being developed and deployed to monitor changes in the aquatic environment. With technological progress, traditional sampling-based water monitoring has been supplemented with sensors and automated data acquisition and transmission devices, resulting in the automation of water quality monitoring systems. This paper reviews the recent development and application of automated continuous water quality monitoring systems. It also draws on the results of our own experience in implementing such a system in the Neretva River Delta on the Croatian Adriatic coast. The installed system provides (near) real-time data on parameters such as temperature, pH, EC, TDS, and DO in the water, as well as a number of soil and weather variables, with data available at a high frequency through a developed database and web portal for various stakeholders. Continuous monitoring enables the collection of big data that can be used to develop models for predictions of water quality parameters and to develop guidelines for future management.
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