Exploring Machine Learning techniques to identify nitrate sources in groundwater in National Mouhoun basin in Burkina Faso the case of the Kou watershed
(2023) International Symposium on Isotope Hydrology — Location: Vienna, Austria (3.July.2023)
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- Abstract
- Introduction : Groundwater is subjected to many pressures, groundwater dependent functions and services Groundwater protection and management implies an in depth knowledge of the state of the available groundwater resource (quantity quality) and groundwater vulnerability (likelihood of being negatively affected) Groundwater monitoring and modelling approaches are available to assess the state and vulnerability of groundwater. Groundwater is subjected to many pressures, groundwater dependent functions and services Groundwater protection and management implies an in depth knowledge of the state of the available groundwater resource (quantity quality) and groundwater vulnerability (likelihood of being negatively affected) Groundwater monitoring and modelling approaches are available to assess the state and vulnerability of groundwater
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Citations
Issoufou Ouedraogo, Vanclooster, M., Pascal Boexk, & Yuliya Vystavna. (2023). Exploring Machine Learning techniques to identify nitrate sources in groundwater in National Mouhoun basin in Burkina Faso the case of the Kou watershed. International Symposium on Isotope Hydrology, Vienna, Austria. https://hdl.handle.net/2078.5/240846