scholarly journals Groundwater Recharge Potential Mapping in Far Western Middle Mountain of Nepal: A GIS-based Approach

2020 ◽  
Vol 3 (3) ◽  
Author(s):  
Shobha Shrestha
Keyword(s):  
Groundwater Recharge ◽  
Drainage Density ◽  
Potential Zone ◽  
Domestic Water ◽  
Weighted Overlay ◽  
Gis And Remote Sensing ◽  
Recharge Potential ◽  
Potential Mapping ◽  
Middle Mountains ◽  
Percent Area

The larger population in the middle mountain region of Nepal is dependenton spring for domestic water use. Availability and flow regularity ofsprings rely on groundwater recharge (GWR) potential which is attributedto various natural and human factors. The present study is an attempt toexplore the GWR potential using GIS and Remote sensing (RS) methodin two watersheds of the far western middle mountains of Nepal. Spatialanalysis is carried out using a weighted overlay analysis of six factorsnamely, slope, lithology, lineament, drainage density, rainfall, and landcover/ land use. The result shows that only 16 percent of the total watershed area is under a very high recharge potential zone while 31 percent area falls under very low recharge potential. It is found that the distribution of existing spring sources is random concerning GWR potential. Water stress in Rel Gad watershed is evident which accentuates the propermanagement of recharge areas. The study concludes that the GIS RS toolis useful in identifying recharge potential zones. It aids to better planningfor increasing recharge potential. Proper management of recharge potentialarea and spring water sources direct the future water availability to fulfillthe increasing water need of the communities.

scholarly journals Mapping Potential Zones for Groundwater Recharge Using a GIS Technique in the Lower Khwae Hanuman Sub-Basin Area, Prachin Buri Province, Thailand

2021 ◽  
Vol 9 ◽  
Author(s):  
Narongsak Kaewdum ◽  
Srilert Chotpantarat
Keyword(s):  
Groundwater Recharge ◽  
Predictive Accuracy ◽  
Groundwater Resources ◽  
Specific Capacity ◽  
Overlay Analysis ◽  
Weighted Overlay ◽  
Recharge Potential ◽  
Weighted Overlay Analysis ◽  
Groundwater Aquifer ◽  
Hydrogeological Characteristics

The lower Khwae Hanuman sub-basin in Thailand suffers from water shortage during each dry season. As such, groundwater resources are an additional freshwater source in this region, in particular for cultivating activities. Thus, an understanding of the volume of groundwater recharge into the saturated zone is required. The objective of the study is to assess the groundwater recharge potential (GRP) using the weighted overlay analysis method by geographic information system (GIS) and finally checking the reliability of GRP map using observed specific capacity carried out by the Department of Groundwater Resources (DGR). The geological and hydrogeological features that affect groundwater potential are the lithology, land use, lineaments, drainage, slope, and soil. The weighting and rating of these six influencing factors were determined by assessing the interrelationship of the main and minor influences of each factor based on several literature reviews, followed by a weighted overlay analysis with GIS, in association with groundwater recharge. The GRP can be classified in descending order: high, moderate, low, and very low, where about 33.9 km2 (2.26% of the total area of 1,500 km2) had high recharge potentiality, located at the center of the area. Only 12.8% of the total precipitation (271.75 million m3/y or approximately 181.2 mm) infiltrated the groundwater aquifer, while the rest was lost by either surface runoff or evapotranspiration. Based on GRP sensitivity analysis index, lithology was the most efficient influencing factor in GRP mapping. Most groundwater wells (>96% or 369 wells) were classified into the classes of low and moderated, which agree to the GRP zones. The results of calculating the area under the curve (AUC) of the receiver operating characteristic (ROC) curve were 86.0 percent, with relatively good predictive accuracy. The stable baseflow analysis would be used to confirm the amount of GRP by weighting overlay technique. Therefore, the GRP method can be applied in other areas, particular in similar hydrogeological characteristics. The first-hand recharge potential map and groundwater recharge information in this area can be used to establish an effective groundwater exploration program for agricultural activities; it is also used to appropriate sustainable yields from each groundwater basin to provide groundwater over the long-term, without negatively impacting the environment and without affecting the groundwater balance as it has recharge in the rainy seasons, which can use groundwater sustainably. It is in line with the sustainable development goals (SDGs) in goal number six of the UN.

scholarly journals Identification of Ground Water Potential Zones Using GIS and Remote Sensing Techniques in the Case of Odiyo Watershed, Ethiopia

2021 ◽  
Author(s):  
Habtamu Deribe ◽  
Dereje Biru Debalke
Keyword(s):  
Ground Water ◽  
Water Potential ◽  
Secondary Data ◽  
Drainage Density ◽  
Weighted Overlay ◽  
Gis And Remote Sensing ◽  
Management And Development ◽  
Gis Environment ◽  
Remote Sensing Techniques ◽  
Very High

Abstract Background: The current study conducted to analysis the bottom water potential zones in Odiyo watershed. The study relies on the secondary data, which is collected from concern department and through internet. Totally nine parameters are consider for the study like drainage density, elevation, geology, geomorphology, land use and land cover, lineaments, rainfall pattern, slope gradient and soil texture. The chosen parameters are prepared and classified in GIS environment, then weightage for every parameter and its classes are assigned using Analytical Hierarchical Process, and eventually, weighted overlay analysis in ArcGIS accustomed discover the result. Results: The result relived that, about 183.87ha (0.613%) areas are having very high, 4846.23ha (16.18%) area are having high, 19229.4 ha (64.19%) having moderate, 5645.7ha (18.855) having low and 48.6ha (0.16%) area are having very low potential of well water. Conclusions: The knowledge on strength of ground water supported ground water zones help in management and development of the groundwater within the study area.

scholarly journals Groundwater recharge potential zonation using an ensemble of machine learning and bivariate statistical models

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Maryam Sadat Jaafarzadeh ◽  
Naser Tahmasebipour ◽  
Ali Haghizadeh ◽  
Hamid Reza Pourghasemi ◽  
Hamed Rouhani
Keyword(s):  
Machine Learning ◽  
Land Use ◽  
Groundwater Recharge ◽  
Land Use Planning ◽  
Statistical Models ◽  
Agricultural Land ◽  
Response Curves ◽  
Recharge Potential ◽  
Ensemble Effect ◽  
Potential Mapping

AbstractMany regions in Iran are currently experience water crisis, largely driven by frequent droughts and expanding agricultural land combined with over abstraction of groundwater. Therefore, it is extremely important to identify potential groundwater recharge (GWR) zones to help in prevent water scarcity. The key objective of this research is to applying different scenarios for GWR potential mapping by means of a classifier ensemble approach, namely a combination of Maximum Entropy (ME) and Frequency Ratio (FR) models in a semi-arid mountainous, Marboreh Watershed of Iran. To consider the ensemble effect of these models, 15 input layers were generated and used in two models and then the models were combined in seven scenarios. According to marginal response curves (MRCs) and the Jackknife technique, quaternary formations (Qft1 and Qft2) of lithology, sandy-clay-loam (Sa. Cl. L) class of soil, 0–4% class of slope, and agriculture & rangeland classes of land use, offered the highest percolation potential. Results of the FR model showed that the highest weight belonged to Qft1 rocks and Sa. Cl. L textures. Seven scenarios were used for GWR potential maps by different ensembles based on basic mathematical operations. Correctly Classified Instances (CCI), and the AUC indices were applied to validate model predictions. The validation indices showed that scenarios 5 had the best performance. The combination of models by different ensemble scenarios enhances the efficiency of these models. This study serves as a basis for future investigations and provides useful information for prediction of sites with groundwater recharge potential through combination of state-of-the-art statistical and machine learning models. The proposed ensemble model reduced the machine learning and statistical models’ limitations gaps and promoted the accuracy of the model where combining, especially for data-scarce areas. The results of present study can be used for the GWR potential mapping, land use planning, and groundwater development plans.

scholarly journals An Approach to Mapping Groundwater Recharge Potential Zones using Geospatial Techniques in Kayadhu River Basin, Maharashtra

2020 ◽  
Author(s):  
Bhagwan B. Ghute ◽  
Shaikh Md. Babar
Keyword(s):  
Water Resources ◽  
River Basin ◽  
Artificial Recharge ◽  
Groundwater Resources ◽  
Drainage Density ◽  
Vital Role ◽  
Potential Zone ◽  
Geospatial Techniques ◽  
Recharge Potential ◽  
Surface Water Resources

Rapid increase in population, agricultural expansion and ongoing development projects in the region. However, the region is facing water scarcity because of seasonal precipitation and inadequate surface water resources. Therefore, groundwater resources are gaining much more attention mainly in Kayadhu river basin to fulfil drinkable water requirements in the area. To maintain the long-term sustainability of water resources artificial recharge is expected to become frequently necessary in future as the growing population requires more water and consequently, more storage is required to conserve water for use in the times of shortage. Geospatial techniques are used in the field of hydrology and water resources management. One of the chief advantages of this techniques for hydrological investigation and observe its ability to generate data in spatial and temporal fields, which plays vital role for fruitful analysis, estimation and authentication. The suitable zones for artificial recharge were identified by overlaying thematic layers such as land use/land cover, lineament density, slope, drainage density, lithology, geomorphology, rainfall and soil characteristics are integrated with recharge potential factors. The result reveals that 79% area of Kayadhu river basin is most effective for high to moderate artificial recharge potential zone.

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