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 Exploration of groundwater potential zones using analytical hierarchical process (AHP) approach in the Godavari river basin of Maharashtra in India

2021 ◽  
Vol 11 (12) ◽  
Author(s):  
J. Rajesh ◽  
Chaitanya B. Pande ◽  
Sunil A. Kadam ◽  
Sunil D. Gorantiwar ◽  
Mukund G. Shinde
Keyword(s):  
Analytical Hierarchy Process ◽  
Groundwater Resources ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Overlay Analysis ◽  
Weighted Overlay ◽  
Weighted Overlay Analysis ◽  
Hierarchy Process

AbstractTotal natural and groundwater resources play the most crucial role in developing ecological, biological and socioeconomic doings. Various parameters like land use, geology, elevation, slope, lineament, lineament density, drainage density and geomorphology affect the groundwater development of recharge and its accessibility. In this research, geographical information system (GIS), remote sensing, weighted overlay analysis and analytical hierarchy process (AHP) methods have been used for groundwater prospects mapping,  and identifying suitable solutions site for soil and water conservation structures. To calculate the weights were assigned to every layers component in the determination of affecting factors. The weighted overlay analysis (WOA) tool is applied to give the sub-parameter ratings based on the scientific literature. The final map of potential groundwater zone map has prepared using Arc GIS 10.1 software and AHP methods. About 49.71% of the areas fall under the 'good potential zone, 41.05% falls under the 'moderate potential zone', and 9.22% falls under the 'poor zone by using AHP technique. Groundwater potential zone map is depend on the weighted overlay analysis and analytical hierarchy process (AHP) methods. The highest GWP is located in the lower part of the basin due to the best surface runoff gathering, infiltration situations and subsurface storage volume. The present study procedure, methods and outcomes can be valuable to estimate the suitable groundwater zones parallel to improve the dry land area in the semi-arid and arid regions of India.

scholarly journals Climate Changes Impacts on Groundwater Recharge in the UAE

10.29007/kdpc ◽  
2018 ◽  
Author(s):  
Mohamed Mostafa Mohamed
Keyword(s):  
Groundwater Recharge ◽  
Groundwater Resources ◽  
Climate Change Impacts ◽  
Water Source ◽  
Eastern Region ◽  
Continuous Increase ◽  
Groundwater Availability ◽  
Groundwater Aquifer ◽  
Abu Dhabi Emirate ◽  
Desalination Plants

Despite the continuous increase in water supply from desalination plants in the UAE, groundwater remains the major source of fresh water satisfying domestic and agricultural demands. Additionally, groundwater has always been considered as a strategic water source towards groundwater security in the country. Quantification of groundwater recharge is a prerequisite for efficient and sustainable groundwater resources management in arid regions. Therefore, groundwater recharge from the ephemeral Wadi beds and subsurface flow from mountainous valley beds play an important role in water management. Although, both surface and groundwater resources in UAE are scarce; the anticipated climate change impacts could make these resources even scarcer. As such, the main aim of this paper is to assess the potential impacts of future climate variability and change on groundwater recharge in the eastern region of UAE. This paper will explore rainfall characteristics in the region, their projections and their impacts on Wadi hydrology and groundwater recharge processes. Another objective of the study is to identify groundwater recharge regions to the shallow unconfined groundwater aquifer in the northeastern part of Abu-Dhabi Emirate. Outcomes of this study will help to accurately estimate current and future sustainable extraction rates, assess groundwater availability, and identify pathways and velocity of groundwater flow as crucial information for determining the best locations for artificial recharge.

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 Suitability of Water Harvesting in the Upper Blue Nile Basin, Ethiopia: A First Step towards a Mesoscale Hydrological Modeling Framework

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Yihun T. Dile ◽  
Johan Rockström ◽  
Louise Karlberg
Keyword(s):  
Ex Situ ◽  
Overlay Analysis ◽  
Water Harvesting ◽  
Nile Basin ◽  
Weighted Overlay ◽  
Blue Nile ◽  
Weighted Overlay Analysis ◽  
Blue Nile Basin ◽  
Upper Blue Nile Basin

Extreme rainfall variability has been one of the major factors to famine and environmental degradation in Ethiopia. The potential for water harvesting in the Upper Blue Nile Basin was assessed using two GIS-based Multicriteria Evaluation methods: (1) a Boolean approach to locate suitable areas for in situ and ex situ systems and (2) a weighted overlay analysis to classify suitable areas into different water harvesting suitability levels. The sensitivity of the results was analyzed to the influence given to different constraining factors. A large part of the basin was suitable for water harvesting: the Boolean analysis showed that 36% of the basin was suitable for in situ and ex situ systems, while the weighted overlay analysis showed that 6–24% of the basin was highly suitable. Rainfall has the highest influence on suitability for water harvesting. Implementing water harvesting in nonagricultural land use types may further increase the benefit. Assessing water harvesting suitability at the larger catchment scale lays the foundation for modeling of water harvesting at mesoscale, which enables analysis of the potential and implications of upscaling of water harvesting practices for building resilience against climatic shocks. A complete water harvesting suitability study requires socioeconomic analysis and stakeholder consultation.

scholarly journals Modelling urban mixed land-use prediction using influence parameters

GeoScape ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 66-78
Author(s):  
Poulomee Arun Ghosh ◽  
Pratap M. Raval
Keyword(s):  
Land Use ◽  
Population Density ◽  
Spatial Data ◽  
Overlay Analysis ◽  
Land Uses ◽  
Weighted Overlay ◽  
Weighted Overlay Analysis ◽  
Mixed Land Use ◽  
Influencing Parameters ◽  
The City

Abstract Mixed land-use is a popular concept in urban planning due to its expected role in improving environmental sustainability as well as citizen’s quality of life. Land use planning and regulations are not stringent in many cities like those in India, and policies are liberal towards mixed land uses. In these cities, mixed land-uses are a natural phenomenon manifesting under various influencing parameters. However, for studies on mixed land-uses, these cities pose data insufficiency challenges, as vital comprehensive spatial information related to land-uses is not available. Moreover, there is no standardised methodology established to assess the spatial distribution of mixed land-uses at the city level. This research has developed a GIS-based model using Weighted Overlay Analysis to predict and visualise the probability of mixed land-use at the macro or city level for the case of Pune, India. The model uses the easily available spatial data of influencing parameters of mixed land-use as input for prediction instead of comprehensive real land-use data. The model is validated by comparing the predicted mixed land-use intensities with established indicators of mixed land-use for four neighbourhoods. It is found that parameters that influence mixed land-use such as connectivity, grain pattern, population density and access to amenities can be used to predict the probability of mixed land-use. Around 35 per cent of the city area of Pune has more than 0.67 probability of mixed land-use. The model can produce the probable mixed land-use distribution across the city and can be used to compute mixed land-use intensities for neighbourhoods. Highlights for public administration, management and planning: • Mixed land-use probability distribution for Pune City, India is generated using Weighted Overlay Analysis in GIS. • As vital spatial data of land-use was unavailable, the prediction model uses data of influencing parameters of mixed land-uses such as population density, connectivity, grain pattern and access to amenities. • The mixed land-use probabilities predicted can be used to compute mixed land-use intensities of neighbourhoods. It is validated by comparing with traditional mixed land-use indicators.

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