scholarly journals A high-resolution nitrate vulnerability assessment of sandy aquifers (DRASTIC-N)

2021 ◽  
Vol 277 ◽  
pp. 111330
Author(s):  
Denitza D. Voutchkova ◽  
Jörg Schullehner ◽  
Per Rasmussen ◽  
Birgitte Hansen
Geophysics ◽  
2002 ◽  
Vol 67 (1) ◽  
pp. 177-187 ◽  
Author(s):  
Roberto G. Francese ◽  
Zoltan Hajnal ◽  
Arnfinn Prugger

A near‐surface multifold high‐resolution seismic reflection experiment was conducted in the vicinity of the waste management area of a potash mine in western Canada. A buried channel was identified in the data, and the stratigraphy of the Quaternary infill of this structure was mapped. The spatial extent of several prominent gravel‐sandy aquifers, which represent the hydrogeologic framework of the region, was outlined by the survey. The seismic signatures also established the hydraulic independence of three major aquifers along the survey line. The complex heterogeneous lithology of the surface cover limited effective elastic‐wave generation to surface sources. This geologic framework also caused propagation of strong diverse coherent‐noise patterns which severely degraded reflected signal. The suppression of those overhelming interfering events required the design of noise‐specific filters and their sequential multistep implementations. Results of forward modeling of background geologic information were crucial factors in the design of the data acquisition program and preliminary choices of the processing parameters, and (along with borehole data) were the primary guidance in the geologic interpretation of the final seismic section. Fundamental procedures were developed for mapping of glacial tills in the Western Canadian Basin, techniques that can be applied in other regions with similar near‐surface glacial stratigraphy. The experiment revealed that even closely spaced borehole information could never duplicate the detail of the subsurface images of the seismic data.


2016 ◽  
Vol 75 (12) ◽  
Author(s):  
Birgitte Hansen ◽  
Torben O. Sonnenborg ◽  
Ingelise Møller ◽  
Jens Demant Bernth ◽  
Anne-Sophie Høyer ◽  
...  

2020 ◽  
Vol 10 (7) ◽  
pp. 2328 ◽  
Author(s):  
Gianluigi Busico ◽  
Nerantzis Kazakis ◽  
Nicolò Colombani ◽  
Khabat Khosravi ◽  
Konstantinos Voudouris ◽  
...  

Human activities are deeply connected with groundwater reservoirs, so protecting them from pollution has become a priority in many regions of the world. Nitrate is considered the main groundwater pollutant since it is directly linked to many human activities. Agricultural activities and domestic wastewater have been identified as the main sources of nitrate in groundwater. Nevertheless, there are some natural processes that can mitigate nitrate pollution. Together with dilution processes, the degradation of nitrate through denitrification has been acknowledge as a process that can potentially reduce nitrogen loads, in both deep and shallow aquifers. Usually these processes were not properly quantified in vulnerability assessment methods, until the introduction of LOS indices. In this study, the application of the LOS indices on 4 agricultural areas is discussed, highlighting how the LOS indices can identify portions of the landscape with higher potential denitrification and how they directly enhance the groundwater vulnerability assessment. Previous studies have shown that LOS indices are a valuable tool for proper vulnerability assessment to nitrate, however they need to be coupled with other parameters that also describe nitrate behavior in groundwater. The SINTACS-SVN and DRASTIC-PA methods that include the LOS indices, were applied for the first time in the Epanomi coastal area to evaluate the reliably of the assessment and, despite the different classes range and the weights applied, similar groundwater vulnerability assessment maps were obtained. The nitrate vulnerability maps were comparable with the observed nitrate concentrations and were found to be highly comparable with original LOS maps. Nevertheless, it should be kept in mind that vulnerability methods are only screening tools and groundwater quality observations are pivotal information for environmental management.


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