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This book attempts to provide a platform for researchers, policy makers, and engineers to share their latest thoughts and findings on groundwater quality and public health, as well as novel methods dealing with groundwater pollution. The chapters published in this book include the latest research results by world-renowned researchers, whose findings can benefit researchers, engineers, policy makers, and government officials in future groundwater quality research and policy making.
Research & information: general --- Environmental economics --- Pollution control --- water quality index --- health risk assessment --- Tongchuan city --- Loess Plateau --- high-As groundwater --- shallow groundwater --- geological environment --- geochemistry --- correlation --- Hetao Basin --- geostatistics --- GIS --- heavy metal pollution --- groundwater --- UAE --- water environment --- human health risk --- spatial distribution --- Chinese Loess Plateau --- strontium-rich groundwater --- hydrochemical characteristics --- formation mechanisms --- hydrogeochemistry --- water quality --- drinking water --- WASH --- waterborne diseases --- One Health --- Guinea-Bissau --- sub-Saharan Africa --- groundwater quality --- water chemistry characteristics --- multivariate statistical analysis --- PHREEQC --- typical mountain front tilted plain --- Monte Carlo model (crystal ball software) --- visual minteq --- yinchuan --- nano zero-valent iron --- biochar --- nitrate removal --- nitrogen gas --- disjointed type --- hyporheic zone --- mercury --- migration and transformation --- gold mining area --- ecological risks --- endorheic basin --- hydrochemistry --- isotope technique --- integration --- nitrate --- groundwater pollution --- contamination remediation --- one health --- public health
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In recent decades, remote sensing technology has been incorporated in numerous mineral exploration projects in metallogenic provinces around the world. Multispectral and hyperspectral sensors play a significant role in affording unique data for mineral exploration and environmental hazard monitoring. This book covers the advances of remote sensing data processing algorithms in mineral exploration, and the technology can be used in monitoring and decision-making in relation to environmental mining hazard. This book presents state-of-the-art approaches on recent remote sensing and GIS-based mineral prospectivity modeling, offering excellent information to professional earth scientists, researchers, mineral exploration communities and mining companies.
Research & information: general --- Geography --- Toroud–Chahshirin Magmatic Belt (TCMB) --- remote sensing --- ASTER --- hydrothermally altered zones --- polymetallic vein-type mineralization --- emissivity --- emissivity normalization method --- dolomite --- phosphorite --- relative band depth (RBD) --- Bowers Terrane --- listvenite --- hydrothermal/metasomatic alteration minerals --- damage zones --- Northern Victoria Land --- Antarctica --- multispectral and radar data --- data fusion --- gold mineralization --- Wadi Beitan–Wadi Rahaba --- structural control --- Najd Fault System --- South Eastern Desert --- Egypt --- hyperspectral --- Goldstrike --- Carlin-type --- decarbonatization --- argillization --- Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) --- Sentinel 2 --- Synthetic Aperture Radar (SAR) data --- Egyptian Eastern Desert --- transpression and transtension zones --- Landsat-8 --- WorldView-3 --- the Inglefield Mobile Belt (IMB) --- copper-gold mineralization --- High Arctic regions --- epithermal gold --- hydrothermal alteration --- Ahar-Arasbaran region --- Landsat-7 ETM+ --- Bayesian Network Classifiers --- hyperspectral imaging --- drill-core --- SWIR --- mineral abundance mapping --- mineral association --- machine learning --- band ratios --- principal component analysis (PCA) --- fuzzy logic modeling --- Kashmar–Kerman tectonic zone (KKTZ) --- carbonate-hosted Pb-Zn mineralization --- Iran --- dimensionality reduction --- principal component analysis --- independent component analysis --- minimum noise fraction --- fuzzy logic --- riverbed --- metals --- electrical resistivity imaging --- tailings --- Mar Menor --- Cartagena–La Unión --- unmanned aerial systems --- multispectral --- magnetic --- geologic mapping --- drones --- UAV --- dust dispersion --- spectra --- canopy scale --- pixel scale --- mining area --- mineral exploration --- multispectral and hyperspectral data --- mining
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In recent decades, remote sensing technology has been incorporated in numerous mineral exploration projects in metallogenic provinces around the world. Multispectral and hyperspectral sensors play a significant role in affording unique data for mineral exploration and environmental hazard monitoring. This book covers the advances of remote sensing data processing algorithms in mineral exploration, and the technology can be used in monitoring and decision-making in relation to environmental mining hazard. This book presents state-of-the-art approaches on recent remote sensing and GIS-based mineral prospectivity modeling, offering excellent information to professional earth scientists, researchers, mineral exploration communities and mining companies.
Toroud–Chahshirin Magmatic Belt (TCMB) --- remote sensing --- ASTER --- hydrothermally altered zones --- polymetallic vein-type mineralization --- emissivity --- emissivity normalization method --- dolomite --- phosphorite --- relative band depth (RBD) --- Bowers Terrane --- listvenite --- hydrothermal/metasomatic alteration minerals --- damage zones --- Northern Victoria Land --- Antarctica --- multispectral and radar data --- data fusion --- gold mineralization --- Wadi Beitan–Wadi Rahaba --- structural control --- Najd Fault System --- South Eastern Desert --- Egypt --- hyperspectral --- Goldstrike --- Carlin-type --- decarbonatization --- argillization --- Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) --- Sentinel 2 --- Synthetic Aperture Radar (SAR) data --- Egyptian Eastern Desert --- transpression and transtension zones --- Landsat-8 --- WorldView-3 --- the Inglefield Mobile Belt (IMB) --- copper-gold mineralization --- High Arctic regions --- epithermal gold --- hydrothermal alteration --- Ahar-Arasbaran region --- Landsat-7 ETM+ --- Bayesian Network Classifiers --- hyperspectral imaging --- drill-core --- SWIR --- mineral abundance mapping --- mineral association --- machine learning --- band ratios --- principal component analysis (PCA) --- fuzzy logic modeling --- Kashmar–Kerman tectonic zone (KKTZ) --- carbonate-hosted Pb-Zn mineralization --- Iran --- dimensionality reduction --- principal component analysis --- independent component analysis --- minimum noise fraction --- fuzzy logic --- riverbed --- metals --- electrical resistivity imaging --- tailings --- Mar Menor --- Cartagena–La Unión --- unmanned aerial systems --- multispectral --- magnetic --- geologic mapping --- drones --- UAV --- dust dispersion --- spectra --- canopy scale --- pixel scale --- mining area --- mineral exploration --- multispectral and hyperspectral data --- mining
Choose an application
In recent decades, remote sensing technology has been incorporated in numerous mineral exploration projects in metallogenic provinces around the world. Multispectral and hyperspectral sensors play a significant role in affording unique data for mineral exploration and environmental hazard monitoring. This book covers the advances of remote sensing data processing algorithms in mineral exploration, and the technology can be used in monitoring and decision-making in relation to environmental mining hazard. This book presents state-of-the-art approaches on recent remote sensing and GIS-based mineral prospectivity modeling, offering excellent information to professional earth scientists, researchers, mineral exploration communities and mining companies.
Research & information: general --- Geography --- Toroud–Chahshirin Magmatic Belt (TCMB) --- remote sensing --- ASTER --- hydrothermally altered zones --- polymetallic vein-type mineralization --- emissivity --- emissivity normalization method --- dolomite --- phosphorite --- relative band depth (RBD) --- Bowers Terrane --- listvenite --- hydrothermal/metasomatic alteration minerals --- damage zones --- Northern Victoria Land --- Antarctica --- multispectral and radar data --- data fusion --- gold mineralization --- Wadi Beitan–Wadi Rahaba --- structural control --- Najd Fault System --- South Eastern Desert --- Egypt --- hyperspectral --- Goldstrike --- Carlin-type --- decarbonatization --- argillization --- Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER) --- Sentinel 2 --- Synthetic Aperture Radar (SAR) data --- Egyptian Eastern Desert --- transpression and transtension zones --- Landsat-8 --- WorldView-3 --- the Inglefield Mobile Belt (IMB) --- copper-gold mineralization --- High Arctic regions --- epithermal gold --- hydrothermal alteration --- Ahar-Arasbaran region --- Landsat-7 ETM+ --- Bayesian Network Classifiers --- hyperspectral imaging --- drill-core --- SWIR --- mineral abundance mapping --- mineral association --- machine learning --- band ratios --- principal component analysis (PCA) --- fuzzy logic modeling --- Kashmar–Kerman tectonic zone (KKTZ) --- carbonate-hosted Pb-Zn mineralization --- Iran --- dimensionality reduction --- principal component analysis --- independent component analysis --- minimum noise fraction --- fuzzy logic --- riverbed --- metals --- electrical resistivity imaging --- tailings --- Mar Menor --- Cartagena–La Unión --- unmanned aerial systems --- multispectral --- magnetic --- geologic mapping --- drones --- UAV --- dust dispersion --- spectra --- canopy scale --- pixel scale --- mining area --- mineral exploration --- multispectral and hyperspectral data --- mining
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