Monitoring procedures of groundwater quality parameters around mines and landfills are facing two major problems: First, they are labor intensive and expensive; and second, the sampling data are sparse and include too many parameters. Therefore, the site characterization schemes should be optimized. This research is mainly concerned with groundwater resources characterization. The data involved are either continuously monitored multi-parametric water quality measurements from piezometric wells or come from direct push penetrometric sampling. The data collected are spatially referenced since the geographical XY co-ordinates of the sampling point are known. Therefore, for each variable measured in situ, the data have a 3D reference. A methodology has been developed for 3D characterization of groundwater resources using multivariate statistics methods and geostatistics techniques. The developed system enhances the quality and spatial distribution of the measured groundwater data and enables the prediction of quality parameters. The methodology could be a useful tool for assisting a water quality-monitoring programme by providing a quick and reasonably accurate means of data estimatio
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Monitoring procedures of groundwater quality parameters around mines and landfills are facing two major problems: First, they are labor intensive and expensive; and second, the sampling data are sparse and include too many parameters. Therefore, the site characterization schemes should be optimized. This research is mainly concerned with groundwater resources characterization. The data involved are either continuously monitored multi-parametric water quality measurements from piezometric wells or come from direct push penetrometric sampling. The data collected are spatially referenced since the geographical XY co-ordinates of the sampling point are known. Therefore, for each variable measured in situ, the data have a 3D reference. A methodology has been developed for 3D characterization of groundwater resources using multivariate statistics methods and geostatistics techniques. The developed system enhances the quality and spatial distribution of the measured groundwater data and enables the prediction of quality parameters. The methodology could be a useful tool for assisting a water quality-monitoring programme by providing a quick and reasonably accurate means of data estimatio
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
EUR 23,00 für den Versand von Deutschland nach USA
Versandziele, Kosten & DauerAnbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Monitoring procedures of groundwater quality parameters around mines and landfills are facing two major problems: First, they are labor intensive and expensive; and second, the sampling data are sparse and include too many parameters. Therefore, the site characterization schemes should be optimized. This research is mainly concerned with groundwater resources characterization. The data involved are either continuously monitored multi-parametric water quality measurements from piezometric wells or come from direct push penetrometric sampling. The data collected are spatially referenced since the geographical XY co-ordinates of the sampling point are known. Therefore, for each variable measured in situ, the data have a 3D reference. A methodology has been developed for 3D characterization of groundwater resources using multivariate statistics methods and geostatistics techniques. The developed system enhances the quality and spatial distribution of the measured groundwater data and enables the prediction of quality parameters. The methodology could be a useful tool for assisting a water quality-monitoring programme by providing a quick and reasonably accurate means of data estimatio 256 pp. Englisch. Bestandsnummer des Verkäufers 9783659570742
Anzahl: 2 verfügbar
Anbieter: moluna, Greven, Deutschland
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Ahmed SamehDr. Sameh Ahmed is associate Professor, of Mining and Environmental Engineering, at Assiut University, Egypt. He got his Ph.D. from Royal School of Mines, Imperial College, London, UK, 2001. His major areas of interest are. Bestandsnummer des Verkäufers 159142499
Anzahl: Mehr als 20 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. Neuware -Monitoring procedures of groundwater quality parameters around mines and landfills are facing two major problems: First, they are labor intensive and expensive; and second, the sampling data are sparse and include too many parameters. Therefore, the site characterization schemes should be optimized. This research is mainly concerned with groundwater resources characterization. The data involved are either continuously monitored multi-parametric water quality measurements from piezometric wells or come from direct push penetrometric sampling. The data collected are spatially referenced since the geographical XY co-ordinates of the sampling point are known. Therefore, for each variable measured in situ, the data have a 3D reference. A methodology has been developed for 3D characterization of groundwater resources using multivariate statistics methods and geostatistics techniques. The developed system enhances the quality and spatial distribution of the measured groundwater data and enables the prediction of quality parameters. The methodology could be a useful tool for assisting a water quality-monitoring programme by providing a quick and reasonably accurate means of data estimatioBooks on Demand GmbH, Überseering 33, 22297 Hamburg 256 pp. Englisch. Bestandsnummer des Verkäufers 9783659570742
Anzahl: 2 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Monitoring procedures of groundwater quality parameters around mines and landfills are facing two major problems: First, they are labor intensive and expensive; and second, the sampling data are sparse and include too many parameters. Therefore, the site characterization schemes should be optimized. This research is mainly concerned with groundwater resources characterization. The data involved are either continuously monitored multi-parametric water quality measurements from piezometric wells or come from direct push penetrometric sampling. The data collected are spatially referenced since the geographical XY co-ordinates of the sampling point are known. Therefore, for each variable measured in situ, the data have a 3D reference. A methodology has been developed for 3D characterization of groundwater resources using multivariate statistics methods and geostatistics techniques. The developed system enhances the quality and spatial distribution of the measured groundwater data and enables the prediction of quality parameters. The methodology could be a useful tool for assisting a water quality-monitoring programme by providing a quick and reasonably accurate means of data estimatio. Bestandsnummer des Verkäufers 9783659570742
Anzahl: 1 verfügbar