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

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发表于 2025-3-21 16:08:09 | 显示全部楼层 |阅读模式
书目名称Recent Trends in Modelling of Environmental Contaminants
编辑Debashish Sengupta
视频video
概述Discusses 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
图书封面Titlebook: Recent Trends in Modelling of Environmental Contaminants;  Debashish Sengupta Book 2014 Springer India 2014 Acid Mine Drainage.Environmenta
描述The book deals primarily with the aspects like energy resources and its proper utilization, disposal of various forms of wastes and its effects and effects of major catastrophic events like nuclear disasters, global warming, etc. It also deals with the choice of suitable disposal sites for solid and hazardous waste, which is growing at an extremely rapid pace due to rapid industrialization, population growth (primarily in countries like India and China) and urbanization. In addition groundwater contamination due to various causes and its effect on the food chain is also amply discussed. The book is specifically aimed with the state-of-art information regarding research and development in these areas of study, coupled to extensive modelling and case based results obtained, both from India as well as other countries. The book is extremely instructive for the students, research workers, scientists, faculty members in Applied Physics, Solid Earth Geophysics, Radiometric Methods and Exploration, Ground Water Geochemistry, Mathematical Modeling Techniques in Earth Sciences, Near Surface Geophysics and Earth and Environmental Sciences.
出版日期Book 2014
关键词Acid Mine Drainage; Environmental Radioactivity; Geophysical Subsurface Imaging; Industrial Waste Water
版次1
doihttps://doi.org/10.1007/978-81-322-1783-1
isbn_softcover978-81-322-2892-9
isbn_ebook978-81-322-1783-1
copyrightSpringer India 2014
The information of publication is updating

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发表于 2025-3-21 23:27:00 | 显示全部楼层
https://doi.org/10.1007/978-81-322-1783-1Acid Mine Drainage; Environmental Radioactivity; Geophysical Subsurface Imaging; Industrial Waste Water
发表于 2025-3-22 02:36:07 | 显示全部楼层
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
发表于 2025-3-22 05:06:56 | 显示全部楼层
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
发表于 2025-3-22 12:33:33 | 显示全部楼层
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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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
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,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
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