High Sensitivity Magnetic Gradiometer for Earthquake Research Applications ISRAEL 2005 Ivan Hrvoic H. Ginzburg, H. Zafrir, G. Steinitz, B. Shirman, G. Hollyer
Overview Magnetic Earthquake Research Methods –Introduction to Past and Current Methods –Detectability of Earthquakes by Gradiometers –Short Base (Gradient) Measurements Potassium SuperGradiometer –Installation and Data Records Summary
Introduction to Magnetics Several decades of investigation Based on theory of piezomagnetism and / or electrokinetics Possibility of detection is related to gradual pressure build-up prior to earthquakes or “events”
Monitoring Systems (1) Traditional Methods –Magnetic sensors (0.1 nT sensitivity) –Long base measurements Some startling results No duplication of results Recent Work –Induction coils Improved sensitivity to 25 pT But, limited bandwidth (0.01 Hz)
Monitoring Systems (2) Induction Coils –Detect first derivative of magnetic field –Detect all 3 components –Skin Effect Problems Hz Hz
Detectability of Earthquakes by Gradiometers Assuming earthquakes create dipolar anomalies, can calculate detectability of earthquakes of given magnitude: Where o is magnetic permeability, M is magnetic moment, and α is the angle between radius vector, r, and dipole direction. r is distance from hypocenter to the observation point
Magnetic Moment (1) Assuming cos 2 = 0 for simplicity, the previous equation can be solved for M, Magnetic Moment, as follows: Results are extended to look at data from the Loma Prieta earthquake of 1989 which clearly shows magnetic precursors.
Magnetic Moment (2) Loma Prieta (M7.1) B=2.8 nT anomaly at 17 km depth to hypocenter with 1.7 x Am 2 magnetic moment San Juan Bautista (M5.1) 20 pT anomaly at 9.4 km depth to hypocenter with 1.7 x 10 8 Am 2 magnetic moment
Radius Calculation (1) Note the 3 rd potential drop off of the magnetic field and the 4 th potential of the magnetic gradient with radius: Extreme sensitivity needed to measure (dB / dr) Prospects for elimination of man-made noise are better
Radius Calculation (2) Maximum distance at which an event can be detected by different sensors Skin effect not taken into account
Potassium SuperGradiometer
3 sensors arranged according to terrain (horizontal or vertical) Sensor spacing up to 140m Long term integration is promising 140m 100m S2 100m S3 S1 100m Computer SuperGrad Array
Data (1)
Data (2)
Data (3)
Installations Currently in use near Dead Sea, Israel Measures fields at 3 sensors, 20 times per second with 50 msec and 1 sec integration 6 channels of data to 1 fT resolution GPS receiver provides Universal Time Noise background is about 0.1 pT for 1 sec integration; giving 2 fT/m sensitivity at 50m spacing Since July 2002, has acquired more than 10 billion readings; likely the most ever recorded for this type of application
Initial Installation - Israel
Data - Israel pT 8 hours
Additional Installations System deployed in Magnetic observatory of the Geological Survey of Canada near Ottawa Test of basic system configuration for 6 months –Remote operation –Downloading of data via internet or telephone Installation in Mexico (Oaxaca State) –Photos and records from Mexico Also seeking other jurisdictions for siting system; potentially in regions of more active tectonism
Site Location- Mexico
Site Selection - Mexico
Site Survey Data - Mexico
Gradient Survey Data - Mexico
Sensor Installation - Mexico
Data Acquisition & Communication - Mexico
Data - Mexico pT sec
Integrated Grad / Radon Complementary radon emanation measurements. Correlation with weak earthquakes in Dead Sea rift region The combined Supergradiometer / Radon system is now available for application by various groups pursuing earthquake research studies.
Summary Based on earlier assumptions (and not considering geometrical effects), we can conclude: –Magnetometers of 1 nT sensitivity can detect only the strongest earthquakes (M >7) –Induction coils are good for M>6 –SuperGradiometer in Fast mode is effective for M>6 –SuperGradiometer in Slow mode is effective for M>5