Titlebook: Recent Trends in Modelling of Environmental Contaminants; Debashish Sengupta Book 2014 Springer India 2014 Acid Mine Drainage.Environmenta

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https://doi.org/10.1007/978-81-322-1783-1Acid Mine Drainage; Environmental Radioactivity; Geophysical Subsurface Imaging; Industrial Waste Water

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Debashish SenguptaDiscusses important aspects with pertinent and recent case studies.Elucidates various aspects of modelling and interpretation of the environmental contaminants and subsequent remedial actions.Helps to

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Radiometric Studies and Base Line Calibrations for NORM and TENORM Studies,s even have much higher background radiation, and are known as very high background radiation areas (VHBRAs). In this chapter, applications of radioactivity measurements are demonstrated with case studies for various studies, namely characterization of the area as background or HBRAs or VHBRAs, envi

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Arsenic Fate and Transport in the Groundwater-Soil-Plant System: An Understanding of Suitable Rice nd arsenate respectively during uptake by plants. Environmental factor such as soil flooding condition is also one of the potential factors influencing arsenic accumulation in rice by increasing As mobility in the soil–rhizosphere. In biological factors, rice genotype, which controls the root aerati

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捕鯨魚叉

Very Low-Frequency Electromagnetic Method: A Shallow Subsurface Investigation Technique for Geophyss measured, and interpretation procedures are discussed in detail. Finally, the efficacy of the VLF method for groundwater investigation, mineral investigation, and landslide and subsurface pollution monitoring studies has been demonstrated. Even though the VLF method is a rapid technique for subsur

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Treatment of Industrial Wastewater,n design of experiment was used to design 15 sets of experiments, to be used in RSM optimization, with the help of Design Expert software version 8.0.6.1. After the optimization under three imposed constraints, the values for the process variables giving optimum results were: catalyst dose, 1.5?g/L,

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Applications of Remote Sensing, Geographic Information System and Geostatistics in the Study of Arss utilizing Remote Sensing data may help in understanding the nature of distribution of arsenic-contaminated areas. GIS helps capturing, retrieving and analysing geospatial data. It recreates a real-world scenario and helps in analysing and creating new relevant information. In arsenic affected area

oncologist

,Modeling Radon Behavior for Characterizing and Forecasting Geophysical Variables at the Atmosphere–ration can be a good tracer of stability of the boundary layer (BL) (the lowest part of the atmosphere). In particular, this led to working out diagnostic models for the estimation of the mixing depth from radon data and prognostic neural network (NN) models for forecasting its future behavior, thus