Geospatial Analysis of Mass-Wasting Susceptibility of Four ...

The current study presents two individual data mining methods—the frequency ratio (FR) and information value model (IVM) methods—to map mass-wasting susceptibility in four catchments in Miyun County, Beijing, China. To achieve this goal, nine influence factors and a mass-wasting inventory map were used and produced, respectively.

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Monazite - Wikipedia

Monazite is a reddish-brown phosphate mineral containing rare-earth metals.It occurs usually in small isolated crystals.It has a hardness of 5.0 to 5.5 on the Mohs scale of mineral hardness and is relatively dense, about 4.6 to 5.7 g/cm 3.There are at least four different kinds of monazite, depending on relative elemental composition of the mineral: ...

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Landslide susceptibility assessment in ... - ScienceDirect

The aim of this study was to evaluate and compare landslide susceptibility maps produced using the random forest (RF) data mining technique with those produced by bivariate (evidential belief function and frequency ratio) and multivariate (logistic regression) statistical models for Lianhua County, China.

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An Improved Bayesian Classification Data Mining Method for ...

Venkatesan M., Thangavelu A., Prabhavathy P. (2013) An Improved Bayesian Classification Data Mining Method for Early Warning Landslide Susceptibility Model Using GIS. In: Bansal J., Singh P., Deep K., Pant M., Nagar A. (eds) Proceedings of Seventh International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2012).

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Stripping Ratios: What are They and Why are They Important?

Stripping ratios aren't often discussed, but they can be an early and important indicator for mining projects. Here's what investors should know about them. A strip ratio, or stripping ratio ...

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Electromagnetic interference from personal dust monitors ...

The further away the personal alarm device is located, the more vulnerable the proximity detection system is to electromagnetic interference because of a low signal-to-noise ratio. The susceptibility of the proximity detection system was therefore evaluated at the edge of the warning zone, or the farthest point from the machine where the ...

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Evaluation by Data Mining Techniques of Fluconazole ...

Antifungal susceptibility testing was performed in accordance with CLSI M27-A . Once both data sets were analyzed by data mining techniques, the results were compared with those obtained by Cuesta et al. (Cuesta's data set) for 126 candidemia patients and 132 episodes of oropharyngeal candidosis in 110 HIV-positive patients. For candidemia ...

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Key Financial Ratios to Analyze the Mining Industry

Operating profit margin is a primary profitability ratio examined by analysts to gauge how effectively a company manages costs. This is important in the mining industry since mining companies ...

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A Unique Experience with Liquefaction Assessment of ...

Liquefaction susceptibility based on soil gradation, index parameters and moisture content There is a range of published literature discussing liquefaction susceptibility of fine grained soils with no clear consensus. The most widely used methods are modified Chinese criteria, (Wang 1979) (Seed and Idriss

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Variations in Chemical Composition of Clay Minerals and ...

Magnetic Susceptibility of Hydrothermally Altered Rocks in the Hishikari Epithermal Gold Deposit, SW Kyushu, Japan ... terized by increasing in Al in its tetrahedral layer and the Fe/Fe + Mg ratio toward the veins, while illite in ... In the Hishikari mining ar ea the SSG has a Late Cre-taceous Turonian age, based on a fossil bivalve identi- ...

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Data Mining and Statistical Approaches in Debris-Flow ...

Data Mining and Statistical Approaches in Debris-Flow Susceptibility Modelling Using Airborne LiDAR Data. ... on solid-liquid ratio contents one can easily categorize the type of events.

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A comparative study of support vector machine and logistic ...

Abstract. The main aim of this study was to evaluate and compare the results of two data-mining algorithms including support vector machine (SVM) and logistic model tree (LMT) for shallow landslide modelling in Kamyaran county where located in Kurdistan Province, Iran.

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LOWER AMERICAN RIVER, EROSION SUSCEPTIBILITY …

Erosion Susceptibility Analysis for Infrequent Flood Events Engineers/Scientists/Surveyors July 9, 2004 Sacramento, CA mining for gold as far downstream as Goethe Park (RM 13.5) (See Figure 1) caused reworking of the floodplain and bars, and it significantly altered the out-of-bank topography.

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Stripping ratio - Wikipedia

In mining, stripping ratio or strip ratio refers to the ratio of the volume of overburden (or waste material) required to be handled in order to extract some tonnage of ore. For example, a 3:1 stripping ratio means that mining one tonne of ore will require mining three tonnes of waste rock.

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(PDF) Spatial Prediction of Landslide Susceptibility Using ...

Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)

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Landslide susceptibility analysis using decision tree ...

(Miller and Han, 2001). At this point, data mining can be used to overcome the problem when processing very large datasets. When producing landslide susceptibility maps, very large datasets should be processed. The decision tree investigation for landslide susceptibility assessment constitutes the main purpose of this study.

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Magnetic susceptibility measurement applied to the ...

The magnetization sate of the matrices varies with the aspect ratio under a constant magnetic induction, for choosing the right particle capture models, it is required to know the magnetic state ...

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CDC - Mining - Mine Communications and Tracking Glossary ...

Also referred to as susceptibility aspect. Impedence An electrical measure of opposition to alternating current (AC). It is defined as the frequency domain ratio of the voltage to the current and it has both a magnitude and a phase.

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Spatial prediction of landslide susceptibility using data ...

Mar 13, 2018· Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China) Authors; ... Kavian A (2017) Mapping landslide susceptibility with frequency ratio, statistical index, and weights of evidence models: a case study in northern Iran.

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Spatial Assessment of Urban Flood Susceptibility Using ...

Downloadable! Using geographic information system (GIS) tools and data-mining models, this study analyzed the relationships between flood areas and correlated hydrological factors to map the regional flood susceptibility of the Seoul metropolitan area in South Korea. We created a spatial database of data describing factors including topography, geology, soil, and land use.

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Mapping landslide susceptibility in the Zagros Mountains ...

This study explores the potential application of four state-of-the-art data mining models (logistic regression, random forest, support vector machine, and Naïve Bayes tree) for the spatially explicit prediction of landslide susceptibility across a landslide-prone landscape in the Zagros Mountains, Iran.

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Lignite - Wikipedia

Lignite has a high content of volatile matter which makes it easier to convert into gas and liquid petroleum products than higher-ranking coals. Unfortunately, its high moisture content and susceptibility to spontaneous combustion can cause problems in transportation and storage.

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Glossary of Mining Terms - sec.gov

Magnetic susceptibility - A measure of the degree to which a rock is attracted to a magnet. ... Strip - To remove the overburden or waste rock overlying an orebody in preparation for mining by open pit methods. Stripping ratio - The ratio of tonnes removed as waste relative to the number of tonnes of ore removed from an open-pit mine.

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FINN 3003 CH. 17 Flashcards | Quizlet

Start studying FINN 3003 CH. 17. Learn vocabulary, terms, and more with flashcards, games, and other study tools. ... A mutual fund that buys only the stocks of gold mining companies is a good example of a sector fund. T. 7) Index mutual funds tend to have lower expenses than other types of mutual funds. ... The susceptibility of a mutual fund ...

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Spatial prediction of landslide susceptibility using an ...

The spatial prediction of landslide susceptibility is an important prerequisite for the analysis of landslide hazards and risks in any area. This research uses three data mining techniques, such as an adaptive neuro-fuzzy inference system combined with frequency ratio (ANFIS-FR), a generalized additive model (GAM), and a support vector machine (SVM), for landslide susceptibility mapping in ...

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(PDF) Development of a Software for Assessing Mining ...

Development of a Software for Assessing Mining Subsidence Susceptibility using GIS Combined with Frequency Ratio, Fuzzy Membership Functions and Analytic Hierarchy Process

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Spatial prediction of landslide susceptibility using data ...

Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China)

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Petromagnetic properties in the Naica mining district ...

Ore mineral and host lithologies have been sampled at 14 sites (89 oriented samples) in the Naica District, northern Mexico. The following properties were measured to characterise samples: saturation magnetization, high-temperature magnetic susceptibility, remanence intensity, Koenigsberger ratio, Curie temperature and hysteresis parameters.

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Predictive analytics - Wikipedia

Predictive analytics is an area of statistics that deals with extracting information from data and using it to predict trends and behavior patterns. The enhancement of predictive web analytics calculates statistical probabilities of future events online. Predictive analytics statistical techniques include data modeling, machine learning, AI, deep learning algorithms and data mining.

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Mining Modules quiz cards Flashcards | Quizlet

2. Confirmation of mining methods 3. Arrangement of financing 4. Acquisition of land 5. Filing of environmental impact statement, to obtain a mining permit 6. Provision of surface access 7. Planning and construction of surface plant 8. Erection of mineral processing plant, and ore-handling and shipment facilities 9. Selection of mining ...

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