scholarly journals Fractal Features of Groundwater Monitoring Data Based on Wavelet Analysis

2015 ◽  
Vol 05 (03) ◽  
pp. 130-137
Author(s):  
明亮 冯
Keyword(s):  
Wavelet Analysis ◽  
Groundwater Monitoring ◽  
Monitoring Data

The influence of diffuse pollution on groundwater content patterns for the groundwater bodies of Germany

2007 ◽  
Vol 55 (3) ◽  
pp. 97-105 ◽  
Author(s):  
R. Kunkel ◽  
F. Wendland ◽  
S. Hannappel ◽  
H.J. Voigt ◽  
R. Wolter
Keyword(s):  
Distribution Function ◽  
Groundwater Monitoring ◽  
Distribution Functions ◽  
Monitoring Data ◽  
Hydrochemical Parameters ◽  
Federal States ◽  
Chemical Status ◽  
Water Problems ◽  
Natural Component ◽  
Monitoring Stations

Commissioned by Germany's Working Group of the Federal States on Water Problems (LAWA) the authors developed a procedure to define natural groundwater conditions from groundwater monitoring data. The distribution pattern of a specific groundwater parameter observed by a number of groundwater monitoring stations within a petrographically comparable groundwater typology is reproduced by two statistical distribution functions, representing the “natural” and “influenced” component. The range of natural groundwater concentrations is characterized by confidence intervals of the distribution function of the natural component. The applicability of the approach was established for 17 hydrochemical different groundwater typologies occurring throughout Germany. Based on groundwater monitoring data from ca. 26,000 groundwater-monitoring stations, 40 different hydrochemical parameters were evaluated for each groundwater typology. For all investigated parameters the range of natural groundwater concentrations has been identified. According to the requirements of the EC Water Framework Directive (article 17) (WFD) this study is a basis for the German position to propose criteria for assessing a reference state for a “good groundwater chemical status”.

Estimating Exposure to 1,3-D in Drinking Water Using Groundwater Monitoring Data and PRZM-GW Modeling

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Ian van Wesenbeeck ◽  
Steve Knowles ◽  
Olivier Cirugeda Helle ◽  
June Yan ◽  
Jeff Driver
Keyword(s):  
Drinking Water ◽  
Groundwater Monitoring ◽  
Monitoring Data

Hydrogeochemical interpretation of South Korean groundwater monitoring data using Self-Organizing Maps

2014 ◽  
Vol 137 ◽  
pp. 73-84 ◽  
Author(s):  
Byoung-Young Choi ◽  
Seong-Taek Yun ◽  
Kyoung-Ho Kim ◽  
Ji-Wook Kim ◽  
Hyang Mi Kim ◽  
...  
Keyword(s):  
Groundwater Monitoring ◽  
Monitoring Data ◽  
Self Organizing Maps ◽  
South Korean ◽  
Self Organizing

scholarly journals Abnormal Changes in Groundwater Monitoring Data Due to Small-Magnitude Earthquakes

2015 ◽  
Vol 25 (1) ◽  
pp. 21-33 ◽  
Author(s):  
Nam C. Woo ◽  
Jize Piao ◽  
Jae-Min Lee ◽  
Chan-Jin Lee ◽  
In-Oak Kang ◽  
...  
Keyword(s):  
Groundwater Monitoring ◽  
Monitoring Data ◽  
Small Magnitude
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