Optimal Design of Multitype Groundwater Monitoring Networks Using Easily Accessible Tools

Ground Water ◽  
2016 ◽  
Vol 54 (6) ◽  
pp. 861-870 ◽  
Author(s):  
Thomas Wöhling ◽  
Andreas Geiges ◽  
Wolfgang Nowak
Keyword(s):  
Optimal Design ◽  
Groundwater Monitoring ◽  
Monitoring Networks

Optimal design of groundwater monitoring networks using gamma test theory

2020 ◽  
Vol 28 (4) ◽  
pp. 1389-1402 ◽  
Author(s):  
Sama Azadi ◽  
Hamid Amiri ◽  
Parviz Ataei ◽  
Sirus Javadpour
Keyword(s):  
Optimal Design ◽  
Groundwater Monitoring ◽  
Test Theory ◽  
Monitoring Networks ◽  
Gamma Test

scholarly journals Analysis and optimal design of air quality monitoring networks using a variational approach

Tellus B ◽  
2015 ◽  
Vol 67 (1) ◽  
pp. 25385 ◽  
Author(s):  
Adolfo Henriquez ◽  
Axel Osses ◽  
Laura Gallardo ◽  
Melisa Diaz Resquin
Keyword(s):  
Air Quality ◽  
Optimal Design ◽  
Variational Approach ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Monitoring Networks

Geostatistical screening of flood events in the groundwater levels of the diverted inner delta of the Danube River: implications for river bed clogging

2018 ◽  
Vol 10 (1) ◽  
pp. 64-78 ◽  
Author(s):  
Balázs Trásy ◽  
Tamás Garamhegyi ◽  
Péter Laczkó-Dobos ◽  
József Kovács ◽  
István Gábor Hatvani
Keyword(s):  
Spatial Autocorrelation ◽  
Groundwater Monitoring ◽  
Shallow Groundwater ◽  
Monitoring Network ◽  
Danube River ◽  
Monitoring Networks ◽  
Flood Events ◽  
Raw Data ◽  
Monitoring Wells ◽  
Autocorrelation Structure

Abstract The efficient operation of shallow groundwater (SGW) monitoring networks is crucial to water supply, in-land water protection, agriculture and nature conservation. In the present study, the spatial representativity of such a monitoring network in an area that has been thoroughly impacted by anthropogenic activity (river diversion/damming) is assessed, namely the Szigetköz adjacent to the River Danube. The main aims were to assess the spatial representativity of the SGW monitoring network in different discharge scenarios, and investigate the directional characteristics of this representativity, i.e. establish whether geostatistical anisotropy is present, and investigate how this changes with flooding. After the subtraction of a spatial trend from the time series of 85 shallow groundwater monitoring wells tracking flood events from 2006, 2009 and 2013, variography was conducted on the residuals, and the degree of anisotropy was assessed to explore the spatial autocorrelation structure of the network. Since the raw data proved to be insufficient, an interpolated grid was derived, and the final results were scaled to be representative of the original raw data. It was found that during floods the main direction of the spatial variance of the shallow groundwater monitoring wells alters, from perpendicular to the river to parallel with it for over a period of about two week. However, witht the passing of the flood, this returns to its original orientation in ~2 months. It is likely that this process is related first to the fast removal of clogged riverbed strata by the flood, then to their slower replacement. In addition, the study highlights the importance of assessing the direction of the spatial autocorrelation structure of shallow groundwater monitoring networks, especially if the aim is to derive interpolated maps for the further investigation or modeling of flow.

Design of groundwater monitoring networks for landfills

1995 ◽  
pp. 190-196 ◽  
Author(s):  
P. D. Meyer ◽  
J. W. Eheart ◽  
S. Ranjithan ◽  
A. J. Valocchi
Keyword(s):  
Groundwater Monitoring ◽  
Monitoring Networks
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