Characterisation of Groundwater Quality Parameters using Geostatistics

Sameh Ahmed

ISBN 10: 3659570745 / ISBN 13: 9783659570742

Published by LAP LAMBERT Academic Publishing Jun 2015, 2015

About this Item

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.

Seller Inventory # 9783659570742

Bibliographic Details

• Title: Characterisation of Groundwater Quality Parameters using Geostatistics
• Publisher: LAP LAMBERT Academic Publishing Jun 2015
• Publication Date: 2015
• Language: English
• ISBN 10: 3659570745
• ISBN 13: 9783659570742
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 16D millimeters 220 millimeters width by 150 millimeters height by 16 millimeters depth
• Weight: 399 grams

About this title

Synopsis

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