Artificial Intelligence and Water Cycle Management

Massarelli, Carmine; Campanale, Claudia; Uricchio, Vito Felice

doi:10.5772/intechopen.97385

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…The development of the monitoring method, predictive analysis, the creation of concentration maps, and overall the creation of an information system for the management and use of the data collected and transmitted can be based on techniques of knowledge extraction through Machine methodologies. Learning and Data Mining (clustering, sequence clustering, decision trees, time series, and logistic regression) and Association Rules Discovery to identify information based on associative rules are able to describe an interesting relationship between different phenomena taking place in extremely complex environments and ephemeral [47].…”

Section: Discussionmentioning

confidence: 99%

Monitoring of Temporary Ponds as Indicators of Environmental Quality

Campanale¹,

Uricchio²,

Massarelli³

2023

Environmental Sciences

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Temporary ponds represent a specific type of ecosystem extensively widespread worldwide. They are better known as copular pools, ephemeral waters, karst sinkholes, seasonal wetlands, and vernal pools. Among these, Mediterranean Temporary Ponds (MTPs) represent a priority habitat according to the Natura 2000 network of the European Union. Their main characteristic is represented by their depth of only a few centimeters and lack of communication with permanent water bodies. MTPs habitats are vulnerable to human activities, especially agriculture, and they are considered priority habitats to safeguard. Threats affecting this habitat are various and many and depend on specific site conditions, including intensive agriculture, tree planting, abandonment of traditional land use, and excessive grazing. In the present manuscript, we report the results of monitoring activity of some of these sites in Southern Italy aimed at understanding the ecological status of these ephemeral ecosystems with a specially developed methodology based on data integration.

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Section: Discussionmentioning

confidence: 99%

Monitoring of Temporary Ponds as Indicators of Environmental Quality

Campanale¹,

Uricchio²,

Massarelli³

2023

Environmental Sciences

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show abstract

“…These enable automated detection of public health hazards, including pollution plumes, waterborne disease pathogens, such as protozoa (for example, giardia), bacteria (for example, dysentery), viruses and parasitic worms 28 , as well as eutrophication and harmful algal blooms 29 . Similarly, they may help detect illegal and harmful accidental activities, such as dumping or discharging hazardous chemicals into reservoirs or recreational water bodies 30 .…”

Section: Perspectivementioning

confidence: 99%