Analysis of Ground Fissures Using Content Ratios of Nuclides by Car-Borne Survey

1988 ◽  
Vol 24 (1-4) ◽  
pp. 59-62 ◽  
Author(s):  
S. Kimura
Keyword(s):  
Hot Springs ◽  
Gamma Ray ◽  
Moving Average ◽  
Threshold Value ◽  
Positive Deviation ◽  
Dose Ratio ◽  
Natural Radiation ◽  
Ground Fissures ◽  
Oil And Natural Gas ◽  
Main Index

Abstract A new system was tested for car-borne and manual surveys of natural radiation to detect open fissures concealed in the ground. Positive deviation of the primary gamma ray dose ratio of 214Bi and 208Tl from its moving average was adopted as the main index. Localities where the positive deviation exceeded a threshold value gave a good indication of the existence of covered open fissures. The lowest of the deviations in a traverse was proportional to the amount of 222Rn ascending through fissures. This measurement system proved to be effective in prospecting for ground-water, hot springs, uranium, oil and natural gas resources and in earthquake prediction studies.

scholarly journals Separating precipitation and evapotranspiration from noise – a new filter routine for high resolution lysimeter data

2013 ◽  
Vol 10 (12) ◽  
pp. 14645-14674 ◽  
Author(s):  
A. Peters ◽  
T. Nehls ◽  
H. Schonsky ◽  
G. Wessolek
Keyword(s):  
Moving Average ◽  
Heavy Precipitation ◽  
Threshold Value ◽  
Sensitivity Study ◽  
Small Data ◽  
Strong Wind ◽  
Weight Changes ◽  
Atmospheric Sciences ◽  
Window Width ◽  
Real Mass

Abstract. Weighing lysimeters yield the most precise and realistic measures for evapotranspiration (ET) and precipitation (P), which are of great importance for many questions regarding soil and atmospheric sciences. An increase or a decrease of the system mass (lysimeter plus seepage) indicate P or ET. These real mass changes of the lysimeter system have to be separated from measurement noise (e.g. caused by wind). The typical way to filter noisy lysimeter data is (i) to introduce a smoothing routine, like a moving average with a certain averaging window w, and then (ii) to apply a certain threshold value δ, accounting for measurement accuracy, separating significant from insignificant weight changes. Thus, two filter parameters are used, namely w and δ. Especially the time variable noise due to wind and strong signals due to heavy precipitation pose challenges for such noise reduction algorithms. If w is too small, data noise might be interpreted as real system changes. If w is too wide, small weight changes in short time intervals might be disregarded. The same applies to too small or too large values for δ. Application of constant w and δ lead either to unnecessary losses of accuracy or to faulty data due to noise. The aim of this paper is to solve that problem with a new filter routine, which is appropriate for any event, ranging from smooth evaporation to strong wind and heavy precipitation. Therefore, the new routine uses adaptive w and δ in dependence on signal strength and noise (AWAT – Adaptive Window and Adaptive Threshold filter). The AWAT filter, a moving average filter and the Savitzky–Golay filter with constant w and δ were applied to real lysimeter data comprising the above mentioned events. The AWAT filter was the only filter which could handle the data of all events very well. A sensitivity study shows that the magnitude of the maximum threshold value has practically no influence on the results, so that only the maximum window width must be predefined by the user.

Estimation of Burning Coal Dumps’ Contribution to Radio-Ecological Situation in the Kemerovo Region

2017 ◽  
Vol 6 (4) ◽  
pp. 31-36
Author(s):  
Светлана Тимофеева ◽  
Svetlana Timofeeva ◽  
Н. Луговцова ◽  
N. Lugovcova
Keyword(s):  
Statistical Analysis ◽  
Radiation Dose ◽  
Ionizing Radiation ◽  
Threshold Value ◽  
Ecological Situation ◽  
Natural Radiation ◽  
Radiation Sources ◽  
Radon Emission ◽  
Burning Coal

The statistical analysis of ionizing radiation sources has been carried out in this paper. It has been revealed that the greatest radiation dose is produced by emission of radon as the main source of natural radiation. It has been determined that the average radiation dose per inhabitant in the Kemerovo region is 4.28 mSv / year, which is close to the irradiation level’s threshold value. The study of radon emission from a burning dump’s surface has been carried out. The contribution of burning coal dumps to the general radiation situation of Kuzbass has been shown.

Effective gamma-ray doses due to natural radiation from soils of southeastern Brazil

2010 ◽  
Author(s):  
M. A. G. Silveira ◽  
N. H. Medina ◽  
R. H. Moreira ◽  
B. S. Bellini ◽  
V. A. P. Aguiar ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Southeastern Brazil ◽  
Natural Radiation

Volcanology and Geothermal Resources: Participation of Landsvirkjun in the EUROVOLC project

2020 ◽  
Author(s):  
Asgrimur Gudmundsson ◽  
Sigurdur Markusson ◽  
Freysteinn Sigmundsson ◽  
Gylfi Pall Hersir ◽  
Kristjan Agustsson
Keyword(s):  
Cross Sections ◽  
Hot Springs ◽  
Gamma Ray ◽  
Ground Deformation ◽  
Research Interest ◽  
Power Station ◽  
Geothermal Resources ◽  
Energy Company ◽  
Power Company ◽  
Deep Wells

<p><span>The Krafla power station was built by the Icelandic government 1975 and came under ownership of Landsvirkjun - The National Power Company of Iceland in 1985, and Bjarnarflag power station in Námafjall year later. These were the first steps for Landsvirkjun to generate electricity from geothermal resources in Iceland. Initially the company outsourced all geothermal research and monitoring, but systematically it trained people and hired geothermal experts and developed its own geothermal division. Theistareykir power plant, commissioned in 2017, was the first geothermal construction of Landsvirkjun from start to finish. Development and operation of geothermal fields at an active volcanic environment, such as in Krafla and Theistareykir, creates strong synergy with scientific research interest in volcanology and related branches of earth sciences and engineering. The strong infrastructure and wealth of data created by the energy company has catalysed important research interest and cooperation with scientist and has been a big part of Landsvirkjun´s operation from the beginning. Landsvirkjun makes data available from its databases from geothermal areas in Northeast Iceland within the EUROVOLC project. This is regarded a foundation of a successful industry and science community cooperation. The plan is to keep open source policy for researcher to access Landsvirkjun databases and metadata. Initially the emphasizes is on seismic and ground deformation data (GPS geodetic measurements). Landsvirkjun is running a seismic network consisting of 17 stations in NE-Iceland (http://lv.isor.is/ , in English and Icelandic), operated by Iceland GeoSurvey. Landsvirkjun has installed four continuously operating GPS stations in or near the geothermal areas in North Iceland: one in Theistareykir, two stations in Krafla and one in Bjarnarflag (operated by University of Iceland). In addition, GPS-measurement campaigns have been performed every year in the last decade covering the Krafla area (http://www.icelandsupersite.hi.is/gps/ts/NVZ.html). Borehole logs will be accessible, such as formation temperature and pressure. Also lithological logs (x,y,z) such as resistivity, neutron-neutron and gamma-ray. Interpretation reports of televiewer logs from selected wells will be available. Drill cuttings have been collected during drilling at over 70 deep wells at every two meters interval and lithology figures and cross sections will be available. All chemical data from high-temperature wells, groundwater wells, hot-springs and fumaroles will be available, either by request or through an on-line viewer access directly to Landsvirkjun chemical management system.</span></p>

scholarly journals Multiwaveband quasi-periodic oscillation in the blazar 3C 454.3

2020 ◽  
Vol 501 (1) ◽  
pp. 50-61
Author(s):  
Arkadipta Sarkar ◽  
Alok C Gupta ◽  
Varsha R Chitnis ◽  
Paul J Wiita
Keyword(s):  
Black Hole ◽  
Light Curve ◽  
Gamma Ray ◽  
Moving Average ◽  
Periodic Oscillation ◽  
Physical Models ◽  
Quasi Periodic Oscillation ◽  
Stable Circular Orbit ◽  
Optical Light Curve ◽  
Innermost Stable Circular Orbit

ABSTRACT We report the detection (>4σ) of a quasi-periodic oscillation (QPO) in the gamma-ray light curve of 3C 454.3 along with a simultaneous marginal QPO detection (>2.4σ) in the optical light curves. Periodic flux modulations were detected in both of these wavebands with a dominant period of ∼47 d. The gamma-ray QPO lasted for over 450 d (from MJD 56800 to 57250), resulting in over nine observed cycles which is among the highest number of periods ever detected in a blazar light curve. The optical light curve was not well sampled for almost half of the gamma-ray QPO span due to the daytime transit of the source, which could explain the lower significance of the optical QPO. Autoregressive Integrated Moving Average (ARIMA) modelling of the light curve revealed a significant, exponentially decaying, trend in the light curve during the QPO, along with the 47 d periodicity. We explore several physical models to explain the origin of this transient quasi-periodic modulation and the overall trend in the observed flux with a month-like period. These scenarios include a binary black hole system, a hotspot orbiting close to the innermost stable circular orbit of the supermassive black hole, and precessing jets. We conclude that the most likely scenario involves a region of enhanced emission moving helically inside a curved jet. The helical motion gives rise to the QPO and the curvature (∼0.05○ pc−1) of the jet is responsible for the observed trend in the light curve.

scholarly journals Predicting traffic flow evolution on degraded road networks

2021 ◽  
Author(s):  
Z. Shen
Keyword(s):  
Traffic Flow ◽  
Road Network ◽  
Information Quality ◽  
Moving Average ◽  
Stable State ◽  
Threshold Value ◽  
Quality Parameters ◽  
Information Environment ◽  
The Road ◽  
Flow Evolution

Abstract In order to investigate the influence of the forecast information provided by ATIS on the traffic flow evolution of the degraded road network, a weighted moving average based travel time forecasting method is designed, and the path update rule is established in the forecast information environment. The proposed route update rule is used to analyze the effects of prediction information dependency parameters, information quality parameters, weight parameters and network degradation degree on traffic flow evolution for a small test network. The results show that: 1) there is a threshold value for the dependence of travelers on the predicted information in the information environment, when the dependence is less than this value, the traffic flow quickly evolves to a stable state, and when the dependence is greater than this value, the network traffic flow will oscillate; 2) there is a situation where the higher the quality of the predicted information provided by the information system, the worse the traffic flow evolution; 3) for a particular degraded network, there is a certain optimal combination of weights that can be used to guide the release of forecast information of the network; 4) the smaller the degradation of the road network, the greater the role played by the forecast information.

scholarly journals BULL VS BEAR MARKET- AN INVESTMENT GAME ANALYSIS USING MOVING AVERAGE METHOD

2017 ◽  
Vol 5 (11) ◽  
pp. 425-443
Author(s):  
Biswajit Rout ◽  
Ayesha Mohanty ◽  
Akash Kumar Kacharia
Keyword(s):  
Stock Prices ◽  
Banking Sector ◽  
Moving Average ◽  
Technical Analysis ◽  
Two Phase ◽  
Game Analysis ◽  
Financial Decisions ◽  
Bear Market ◽  
Oil And Natural Gas ◽  
Official Site

This paper aims to analyse and interpret the investor perception about investing in stock market. The market is often referred as to bull or bear market. This is key importance for financial decisions and economic analysis. The market behaves differently in these two phase. The bull market is identified when there is constant rise of stock prices whereas bear market is referred when there is fall in stock prices. These phases occur due to different trends of market or economy. Investor sentiments get affected by this. The paper tries to identify and provides understanding about the factors that causes and how it affects the psychology of investors. There are different analysis techniques used by analysts. The popular and common analysis theories are Fundamental Analysis and Technical Analysis. This paper is based on technical analysis of different category of stock with respect to wide spread industry like FMCG sector, Banking sector, Oil and Natural Gas sector, Automobiles sector and Pharmaceutical Sector etc. The paper also tries to establish whether the market is having a Bull Run or bear. The movement of stock prices is analysed in technical analysis. The data of stock prices are collected from NSE official site. The analysis in done for 5 years span starting from April 2012 to Mar 2017. Even to understand better, analysis of the stock is done on 100days moving average. Prevailing news during those times are also considered to interpret the behaviour of the investors.

scholarly journals Analysis of ground fissures using portable natural gamma ray measurement system.

1990 ◽  
Vol 31 (4) ◽  
pp. 185-194
Author(s):  
Shigehiko KIMURA ◽  
Akira TAKANO ◽  
Ikio IGARASHI
Keyword(s):  
Measurement System ◽  
Gamma Ray ◽  
Ground Fissures ◽  
Natural Gamma

scholarly journals Reconstruction of the original organic richness in weathered Silurian shale outcrops (Murzuq and Kufra basins, southern Libya)

GeoArabia ◽  
2003 ◽  
Vol 8 (2) ◽  
pp. 299-308 ◽  
Author(s):  
Sebastian Lüning ◽  
Sadat Kolonic ◽  
David K. Loydell ◽  
Jonathan Craig
Keyword(s):  
Organic Matter ◽  
North Africa ◽  
Bottom Water ◽  
Gamma Ray ◽  
Uranium Content ◽  
Well Logs ◽  
Close Correspondence ◽  
Hydrocarbon Source Rock ◽  
Natural Radiation ◽  
Distribution Maps

ABSTRACT The early Silurian in North Africa and Arabia was characterised by widespread deposition of organic-rich shales in palaeo-depressions. The unit represents an important hydrocarbon source rock in the region and can be detected easily in well logs because of strong uranium-related natural radiation. In exposures, however, organic matter is commonly heavily oxidised through weathering so that identification of the unit in the field is difficult. Uranium and pyrite framboids appear to be less vulnerable to weathering and may be used to identify intervals of originally organic-rich shales in exposures. Framboids are discrete spheroidal aggregates of pyrite microcrystallites and their size distribution is thought to be controlled by palaeo-depositional bottom-water redox-conditions. Analyses of fresh Silurian organic-rich shales from a core reveal a close correspondence, for the most part, between total organic carbon, total gamma-ray response, uranium content (as determined by spectral gamma-ray) and framboid parameters. Feasibility tests of the concept have been carried out at two exposures in southern Libya and may form the basis for improved Silurian organic-rich shale distribution maps and more precise age models for Silurian organic-rich depositional phases in northern Gondwana.

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