Construction of a Novel Cosmic Ray Neutron Sensor for Measuring Soil Moisture over Large Areas |
CRONUS Technology Company |
Ozturk |
Sertac |
Prof.Dr. |
Sertac.ozturk@cern.ch |
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Turkey |
+905319208112 |
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Neutron, cosmic rays, scintillator, detector , soil physics, soil moisture measurement |
This project proposal is aimed to develop a novel sensor that estimates soil moisture in large areas with high sensitivity using cosmic-ray neutron flux and performs the measurement of soil moisture level. This project proposal fits with: Topic 2. Tools for water management - in the context of hydroclimatic extreme events Developing tools (e.g., multi-risk approach, decision support tools, monetary/non- monetary costs valuation) to support the design and implementation of strategies for adaptation and mitigation to hydro-climatic extreme events, especially floods (including “flash-floods”), heat waves and droughts in a catchment to sea perspective. Generating new methodologies, tools and models for water resources assessment/modelling for water bodies in scarcely monitored /data scarce areas. A combination of physical and digital solutions is expected, and opportunities provided by citizen science should be seized. We search for partners to collabrate for design, construction operation of a Novel Cosmic Ray Neutron Sensor Prototype for Measuring Soil Moisture over Large Areas and Data Analysis with Artificial Intelligence. |
This project proposal aims to develop a novel sensor that estimates soil moisture in large areas with high sensitivity using cosmic-ray neutron flux and performs the measurement of soil moisture level. Instead of using expensive commercial neutron detectors that have limited performance, a new gadolinium-loaded plastic scintillator with determined most optimal chemical contents will be synthesized and it will be used in the cosmic ray neutron sensor. In addition, a data acquisition system with ADC and FPGA components will be designed and produced. Construction of the sensor will take a year and the coming two years will be for calibration, data taking, and data analysis with machine learning. |
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