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On site, only the road surface requires leveling and compacting to establish working conditions, eliminating the necessity for cement foundation leveling and hardening. This significantly reduces the project's construction material costs.
The iron ore is evenly fed by TSW1139 feeder into HJ98 high-efficiency jaw crusher for coarse crushing. After that, the materials would be sent into CS160 cone crusher for secondary crushing.
— In this study geographic information system GIS based methods and applications utilized for mine development were reviewed Three types of GIS based studies namely studies on mine planning operation and environmental management were examined to describe the role of GIS as a decision making support tool in mine
— In this study current geographic information system GIS based methods and their application for the modeling and assessment of mining induced hazards were reviewed Various types of mining induced hazard including soil contamination soil erosion water pollution and deforestation were considered in the discussion of the strength and
— GIS Based GIS Based GIS Based GIS Based GIS Based GIS Based GIS Based GIS Based Mining Area Landslide DB Figure 1 The general plan of database construction 3 DATA ANALYSIS Data Content Data is the blood of a database system having its cost accounting for 80% of the total cost It is necessary to analyze
— Using GIS GPS and GPRS a dynamic management system of ore blending in an open pit mine has been designed and developed A linear program was established in a practical application The system is very good at automatically drawing up a daily production plan of ore blending and monitors and controls the process of mining
— The further procedure in this method includes applying the data on present operations of coal mining to create GIS based graphical and mathematical models associated with sustainability and controlling factors with an intention to describe the system Thermal environment assessment of deep mine based on analytic hierarchy process
— BIM can benefit GIS by providing detailed 3D building models GIS was initially focused on 2D dataset and its capability in 3D data creation and processing is quite limited Zhu et al Citation 2018 By integrating BIM into GIS the spatial analysis can be conducted at a finer scale
— The research of environmental geochemistry entered the big data era Environmental big data is a kind of new method and thought which brings both opportunities and challenges to GIS based spatial analysis in geochemical studies However big data research in environmental geochemistry is still in its preliminary stage and what practical
— This study analyzed and compared landslide susceptibility models using decision tree DT random forest RF and rotation forest RoF algorithms at Woomyeon Mountain South Korea Out of a total of 145 landslide locations 102 locations 70% were used for model training and the remaining 43 locations 30% were used for validation
— The demanding environmental circumstances and sometimes dangerous conditions make UAV surveying the ideal solution in terms of producing GIS data for DEMs and DTMs Figure 4 Mapping a mine site with a UAV Courtesy Aibotix Satellite Imagery for Mining Projects A lot of powerful information for the mining industry is obtained from
The results of the RF model evaluation using 30% of unused locations in the modeling process and based on a receiver operating characteristic ROC curve showed that the final land subsidence susceptibility map shows excellent accuracy with an AUC value of 93% Select 25 Assessing the Vulnerability of Groundwater to Salinization Using GIS
— The Forest based Forecast tool uses forest based regression to forecast future time slices of a space time cube The primary output is a map of the final forecasted time step as well as informative messages and pop up charts Other explanatory variables can be provided to improve the forecast of the analysis variable and you can estimate
— Landslide susceptibility zoning is necessary for landslide risk management This study aims to conduct the landslide susceptibility evaluation based on a model coupled with information value IV and logistic regression LR for Badong County in Hubei Province China Through the screening of landslide predisposing factors based on
— In recent decades remote sensing and geographic information systems GIS have become valuable environmental monitoring tools Figure 1 summarizes the published papers on remote sensing for environmental monitoring and on GIS for environmental monitoring in the last two decades based on data from
— Flood is one of the major devastating natural hazards causing large scale sufferings to human life Bhattacharyya and Bora 1997; Berz et al 2001; Bhowmik and Das 2014; Ran and Nedovic Budic 2016; Roy and Sarker 2016 Nearly 40% of all natural disasters are accounted for flood which caused half of total deaths from such disasters
— Groundwater Recharge Zone Mapping Using GIS based Analytical Hierarchy Process and Multi Criteria Evaluation Case Study of Greater Banjul Area September 2020 American Journal of Water Resources 8
— The AHP and GIS based modeling shows that about and % of the study area were under high and very high vulnerability to land degradation respectively Spatial data mining is the
— A method of evaluating the risk of floor water inrush using principal component logistic regression analysis PCLRA and an improved analytic hierarchy process IAHP is presented The approach was validated by a case study at the Yangcheng coal mine in Shandong Province China First the risk assessment index of floor water inrush
— The outcome of all the steps of a MCDA process namely definition of alternatives criteria and weights may be visualised and analysed with the support of GIS technology where the spatial dimension of the several components involved in a MCDA process can be considered GIS based MCDA is defined as a process that a allows the
process based on the deep learning method to improve the accuracy of subsequent water inrush evaluation Dai et analyzed the water inrush risk of the 11th coal seam in the Hancheng mining area using GIS and the analytic hierarchy process AHP Qu et conducted gray evaluation of water inrush risk Zhang et established a
— In this paper navigational risks in the NYRB waters are analyzed based on spatiotemporal mining on massive AIS trajectories by using GIS techniques A time series oriented trajectory processing method was proposed to
— A GIS based tool for the China National Mineral Resource Assessment Initiative A case study of gold deposits in the Bayan Obo Group Inner Mongolia China the essence of the above methods is a process of analogy and extrapolation based on known deposits A major dispute in these method on the age differences among study
— This study demonstrated the efficacy of GIS based Analytical Hierarchical Process for modelling groundwater potential zones implemented Herein are useful methods that could be applied in the water stressed regions with different environmental backgrounds Application of fuzzy weight of evidence and data mining techniques in
— Smart cities are characterized by the use of massive information and digital communication technologies as well as sensor networks where the Internet and smart data are the core This paper proposes a methodology to geocode traffic related events that are collected from Twitter and how to use geocoded information to gather a training dataset
Landslides caused countless economic and casualty losses in China especially in mountainous and hilly areas Landslide susceptibility mapping is an important approach and tool for landslide disaster prevention and control This study presents a landslide susceptibility assessment using frequency ratio FR and index of entropy IOE models
— The challenge of urban growth and land use land cover LULC change is particularly critical in developing countries The use of remote sensing and GIS has helped to generate LULC thematic maps which have proven immensely valuable in resource and land use management facilitating sustainable development by balancing developmental
— The GIS based MPM models can generally be categorized into knowledge driven and data driven models which are differentiated in combining evidential maps and estimating model parameters based on expert judgement knowledge driven or by using locations of known mineral deposits as training points data driven Joly et al 2015