scholarly journals Application of grey correlation method to evaluate potential groundwater recharge sites

2006 ◽  
Vol 20 (6) ◽  
pp. 407-421 ◽  
Author(s):  
H. S. Gau ◽  
C. Y. Hsieh ◽  
C. W. Liu
2004 ◽  
Vol 31 (1) ◽  
pp. 56-64 ◽  
Author(s):  
Yi-Lung Yeh ◽  
Ting-Chien Chen

The overuse of groundwater in coastal areas of Taiwan has caused serious land subsidence, seawater intrusion, and soil salinification. Artificial lakes are one of the alternatives that increase groundwater water resources. The Pingtung Plain is one of the most bountiful groundwater resource areas in Taiwan. The grey correlation method was used to evaluate the four optimal sites in the Pingtung Plain. Evaluations were based on hydraulic conductivity, the amount and quality of source water, the distance between the potential artificial lake site and the source water intake position, and the quantity and quality of gravel dug from the potential artificial lake site. Based on groundwater recharge and water storage, the grey correlation method showed that site D (Dar-Shiang-Yung) was the best choice.Key words: artificial lake, grey correlation analysis, groundwater recharge, Pingtung Plain.


Hydrology ◽  
2020 ◽  
Vol 7 (2) ◽  
pp. 28
Author(s):  
Kassim Ramadhani Mussa ◽  
Ibrahimu Chikira Mjemah ◽  
Revocatus Lazaro Machunda

This study attempted to delineate and map potential groundwater recharge zones of the Singida, semi-arid, fractured crystalline basement aquifer using open source remote sensing and GIS software. Various thematic maps such as lithology/hydrogeology, soil, land-cover/use, slope, lineament density, drainage density and rainfall distribution were integrated in QGIS software. Vector input layers were rasterized and resampled using QGIS wrap projection function to make sure that the grid cells are of the same size. Reclassification using SAGA and GRASS reclass algorithms in QGIS was carried out to realign the factor classes in a consistent scale, and reclassification to a scale of 1 to 5 was carried out to harmonize the results. The study identified a number of potential areas for groundwater recharge, groundwater exploration, groundwater development and potential areas for artificial groundwater recharge. Potential groundwater recharge zones for the Singida semi-arid fractured aquifer are restricted to areas with high lineament density, cultivated areas, grassland and flat to gentle slopes. The potential of groundwater recharge is also observed in areas with low drainage density. The delineated zones provide a good understanding of the potential recharge zones, which are a starting point for recharge zone protection. This blended approach can be utilized for carrying out suitability analysis using the weighted overlay analysis approach. Areas designated good and very good are recommended for artificial recharging structures as an alternative technique for enhancing groundwater recharge through rainwater harvesting. This will help to augment groundwater storage in this semi-arid environment.


2021 ◽  
Author(s):  
Yvan Caballero ◽  
Sandra Lanini ◽  
Pierre Le Cointe ◽  
Stéphanie Pinson ◽  
Guillaume Hevin ◽  
...  

<p>Climate change is expected to have a significant impact on water resources in mountain areas, as it is the case of the Pyrenees range between France, Spain and Andorre. Independently of future changes on rainfall patterns, global temperature rise is likely to provoke larger and earlier snowmelt, and enhanced precipitation deficits during the dry summer season. Exploring the impacts of this future situation on groundwater is essential, as this resource is often important for drinking water, irrigation and breeding uses in mountain regions. However, studies on groundwater recharge in the context of climate change are relatively scarce, as compared to studies focusing on surface water resources.</p><p>We assessed potential groundwater recharge (part of effective precipitation that infiltrates and potentially reach the aquifers) over the Pyrenean range in the framework of the PIRAGUA project, a collaborative multi-national effort funded by the EU’s Interreg POCTEFA program. Based on a gridded (5x5 km²) meteorological dataset derived from observational data by the CLIMPY project, we estimated effective precipitation for each grid cell using a conceptual water balance scheme. The effect of the seasonal change of land cover / land use (based on the Corine Land Cover dataset) on the water budget model has been assessed, and showed the need to include this component for a more accurate simulation. Based on a spatial characterization of the land infiltration capacity, the potential groundwater recharge has been computed for homogeneous groundwater bodies. Results have been compared to the outputs of groundwater models applied on selected karstic catchments using the BALAN code, and to a general knowledge of groundwater recharge rates for different regions within the study zone. Finally, climate change impacts on future IDPR have been explored using scenarios provided by the CLIMPY project.</p><p>The Pyrenees range is a hot-spot for water resources with a tremendous impact over a much broader region in SW Europe, as Pyrenean rivers are fundamental contributors to large systems such as those of the Adour and Garonne (France) or Ebro (Spain), as well as smaller systems in the western and eastern sectors such as the Bidasoa (Spanish Basque Country), Llobregat-Ter-Muga (Catalonia), or Têt-Tech-Aude (France). Our results are relevant for the planning and management of water resources for this important transboundary region in the future, as changes in groundwater recharge will also affect water resources availability.</p><p>Acknowledgments: the project PIRAGUA, is funded by the European Regional Development Fund (ERDF) through the Interreg V-A Spain France Andorra programme (POCTEFA 2014-2020).</p>


2019 ◽  
Vol 10 ◽  
Author(s):  
Katja Geißler ◽  
Jessica Heblack ◽  
Shoopala Uugulu ◽  
Heike Wanke ◽  
Niels Blaum

2019 ◽  
Vol 9 ◽  
pp. 100260 ◽  
Author(s):  
Esther Mosase ◽  
Laurent Ahiablame ◽  
Seonggyu Park ◽  
Ryan Bailey

2020 ◽  
Vol 716 ◽  
pp. 137105
Author(s):  
Majid Altafi Dadgar ◽  
Mohammad Nakhaei ◽  
Jahangir Porhemmat ◽  
Bijan Eliasi ◽  
Asim Biswas

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