Groundwater quality monitoring network design and optimisation based on measured contaminant concentration and taking solute transit time into account

[1]  D. Helsel,et al.  Statistical methods in water resources , 1992 .

[2]  Breakthrough dynamics of s-metolachlor metabolites in drinking water wells: Transport pathways and time to trend reversal. , 2018, Journal of contaminant hydrology.

[3]  J. Farlin,et al.  Estimating Pesticide Attenuation From Water Dating and the Ratio of Metabolite to Parent Compound , 2017, Ground water.

[4]  Wolfgang Nowak,et al.  Optimal Design of Multitype Groundwater Monitoring Networks Using Easily Accessible Tools. , 2016, Ground water.

[5]  R. Kucharski,et al.  The representativity index of a simple monitoring network with regular theoretical shapes and its practical application for the existing groundwater monitoring network of the Tychy-Urbanowice landfills, Poland , 2016, Environmental Earth Sciences.

[6]  P. Maloszewski,et al.  On the use of spring baseflow recession for a more accurate parameterization of aquifer transit time distribution functions , 2013 .

[7]  P. Maloszewski,et al.  Predicting pesticide attenuation in a fractured aquifer using lumped-parameter models. , 2012, Ground water.

[8]  C. Daughney,et al.  Groundwater age for identification of baseline groundwater quality and impacts of land-use intensification – The National Groundwater Monitoring Programme of New Zealand , 2012 .

[9]  The ‘hidden streamflow’ challenge in catchment hydrology: a call to action for stream water transit time analysis , 2012 .

[10]  Y. Rubin,et al.  A hypothesis‐driven approach to optimize field campaigns , 2012 .

[11]  M. Raiber,et al.  Use of hierarchical cluster analysis to assess the representativeness of a baseline groundwater quality monitoring network: comparison of New Zealand’s national and regional groundwater monitoring programs , 2012, Hydrogeology Journal.

[12]  Dennis R. Helsel Statistics for Censored Environmental DataUsing Minitab® and R: Helsel/Statistics for Environmental Data 2E , 2011 .

[13]  L. Ribeiro,et al.  Major issues regarding the efficiency of monitoring programs for nitrate contaminated groundwater. , 2011, Environmental science & technology.

[14]  Regional transport modelling for nitrate trend assessment and forecasting in a chalk aquifer. , 2010, Journal of contaminant hydrology.

[15]  Jeffrey J. McDonnell,et al.  Truncation of stream residence time: how the use of stable isotopes has skewed our concept of streamwater age and origin , 2010 .

[16]  Lisbeth Flindt Jørgensen,et al.  Groundwater monitoring in Denmark: characteristics, perspectives and comparison with other countries , 2009 .

[17]  Vijay P. Singh,et al.  Spatial assessment and redesign of a groundwater quality monitoring network using entropy theory, Gaza Strip, Palestine , 2006 .

[18]  Edzer J. Pebesma Multivariable geostatistics in S: the gstat package , 2004, Comput. Geosci..

[19]  Piotr Maloszewski,et al.  Identifying the flow systems in a karstic-fissured-porous aquifer, the Schneealpe, Austria, by modelling of environmental 18O and 3H isotopes , 2002 .

[20]  Regional monitoring of temporal changes in groundwater quality , 2004 .

[21]  S. Wohnlich,et al.  Scheme for development of monitoring networks for springs in Bavaria, Germany , 2001 .

[22]  S Gangopadhyay,et al.  Evaluation of ground water monitoring network by principal component analysis. , 2001, Ground water.

[23]  A general lumped parameter model for the interpretation of tracer data and transit time calculation in hydrologic systems , 1998 .

[24]  P. Kitanidis Introduction to Geostatistics: Applications in Hydrogeology , 1997 .

[25]  B. Hobbs,et al.  Review of Ground‐Water Quality Monitoring Network Design , 1993 .

[26]  H. Loáiciga An optimization approach for groundwater quality monitoring network design , 1989 .

[27]  P. Maloszewski,et al.  Estimation of the tritium input function with the aid of stable isotopes , 1984 .