According to the National Science Foundation of Iran (Insf), “Grace Satellite Satellite Water Reserve Network Using Statistical Methods and Machine Learning” is a research project by Hossein Shafizadeh Moghaddam, a member of the Tarbiat Modarres University, which is supported by the National Iranian Science Foundation.
Shafizadeh Moghaddam, with a PhD in remote measurement and geographical information system from Heidelberg-Germany, explained: Groundwater as an important part of renewable water resources has a close relationship with the socio-economic issues of human societies. High quality, widespread distribution and ease of use, have made groundwater resources more attention and use. Due to dry and semi -dry climates, and the restriction and heterogeneity of the country’s surface water resources distribution, groundwater has become a major source for drinking, agricultural and industrial use.
He added: “With the increase in population and economic growth, the pressure of exploitation and the consumption of groundwater has increased greatly and over -exploitation has caused a sharp drop in groundwater levels.” Therefore, monitoring and management of groundwater is of particular importance on different scales. Sustainable planning and management of groundwater resources requires accurate information about the process of groundwater change.
In this regard, the Grace satellite produces water storage data with the spatial power of one degree, using the changes in the gravity field. However, first of all, this time series has a missing data and also has a place of one degree that is not effective for regional studies and requires micronutrition.
In the end, he noted: In this study, with the most up -to -date machine learning methods, Grace data was rebuilt and micro -consistent.
(Tagstotranslate) National Iranian Science Foundation (T) Groundwater (T) Research Projects
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