Identification of Groundwater Potential Recharge Zones in Flinders Ranges, South Australia Using Remote Sensing, GIS, and MIF Techniques

In Australia, water resource management is a major environmental, biological, and socio-economic issue, and will be an essential component of future development. The Hawker Area of the central Flinders Ranges, South Australia suffers from a lack of reliable data to help with water resource management and decision making. The present study aimed to delineate and assess groundwater recharge potential (GWRP) zones using an integration between the remote sensing (RS), geographic information system (GIS), and multi-influencing factors (MIF) approaches in the Hawker Area of the Flinders Ranges, South Australia. Many thematic layers such as lithology, drainage density, slope, and lineament density were established in a GIS environment for the purpose of identifying groundwater recharge potential zones. A knowledge base ranking from 1 to 5 was assigned to each individual thematic layer and its categories, depending on each layer’s importance to groundwater recharge potential zones. All of the thematic layers were integrated to create a combined groundwater potential map of the study area using weighting analysis in ArcGIS software. The groundwater potential zones were categorized into three classes, good, moderate, and low. The resulting zones were verified using available water data and showed a relative consistency with the interpretations. The findings of this study indicated that the most effective groundwater potential recharge zones are located where the lineament density is high, the drainage density is low, and the slope is gentle. The least effective areas for groundwater recharge are underlain by shale and siltstone. The results indicated that there were interrelationships between the groundwater recharge potential factors and the general hydrology characteristics scores of the catchment. MIF analysis using GIS mapping techniques proved to be a very useful tool in the evaluation of hydrogeological systems and could enable decision makers to evaluate, better manage, and protect a hydrogeological system using a single platform.

Download Full-text

Zoning groundwater potential recharge using remote sensing and GIS technique in the Red river delta plain

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/964/1/012025 ◽

2022 ◽

Vol 964 (1) ◽

pp. 012025

Author(s):

Pham Quy Nhan ◽

Le Viet Hung ◽

Tran Thanh Le ◽

Thi Van Le Khoa ◽

Dang Duc Nhan ◽

...

Keyword(s):

Remote Sensing ◽

Groundwater Recharge ◽

Groundwater Potential ◽

Remote Sensing And Gis ◽

River Delta ◽

Red River ◽

Red River Delta ◽

Thematic Layers ◽

Delta Plain ◽

Potential Recharge

Abstract The Red River delta plain is the second largest delta in Vietnam and is located in the North of the country with an area of 14,860 km2 and residing more than 22.5 million inhabitants. Groundwater is mainly exploited in Quaternary sedimentary aquifers with a total discharge of about 3 million m3/day. Some localities have shown signs of over-exploitation such as in Hanoi and in Nam Dinh, which may lead to related problems such as depletion, subsidence, saltwater intrusion, and water pollution. In order to be able to sustainably exploit groundwater, the groundwater potential recharge needs to be estimated. There have been many studies using different methods to estimate the groundwater recharge and to zone potential recharge. In the study area, there are several studies for groundwater recharge, but some are still uncertain because of using indirect methods, some are locally estimated in specific areas. Therefore, the objective of this study is to apply remote sensing and GIS to zone the groundwater potential recharge and its verification by using radioactive isotope 3H analysis in the Red River delta plain. Various types of satellite images have been used and interpreted to detect the different thematic layers which concern the groundwater potential recharge. GIS has been applied as a platform for analysis and integration of thematic layers for zonation, finally. Field trip and water sampling for chemical and radioactive 3H analysis were also conducted. Zones with low, moderate, and high groundwater potential recharge have been delineated with good agreement from the direct estimation of groundwater recharge by radioactive isotopes 3H.

Download Full-text

Integrated Geomorphological, Geospatial and AHP Technique for Groundwater Prospects Mapping in Basaltic Terrain

10.21523/gcj3.18020102 ◽

2018 ◽

Vol 2 (1) ◽

pp. 16-27 ◽

Cited By ~ 11

Author(s):

Vaishnavi Mundalik ◽

Clinton Fernandes ◽

Ajaykumar Kadam ◽

Bhavana Umrikar

Keyword(s):

Groundwater Resources ◽

Drainage Density ◽

Groundwater Potential ◽

The Sustainable Development ◽

Thematic Layers ◽

Groundwater Availability ◽

Basaltic Terrain ◽

Thematic Layer ◽

Increasing Demand ◽

Gis Environment

Groundwater is an important source of drinking water in rural parts of India. Because of the increasing demand for water, it is essential to identify new sources for the sustainable development of this resource. The potential mapping and exploration of groundwater resources have become a breakthrough in the field of hydrogeological research. In the present paper, a groundwater prospects map is delineated for the assessment of groundwater availability in Kar basin on basaltic terrain, using remote sensing and Geographic Information System (GIS) techniques. Various thematic layers such as geology, slope, soil, geomorphology, drainage density and rainfall are prepared using satellite data, topographic maps and field data. The ranks and weights were assigned to each thematic layer and various categories of those thematic layers using AHP technique respectively. Further, a weighted overlay analysis was performed by reclassifying them in the GIS environment to prepare the groundwater potential map of the study area. The results show that groundwater prospects map classified into three classes low, moderate and high having area 17.12%, 38.26%, 44.62%, respectively. The overlay map with the groundwater potential zones in the study area has been found to be helpful for better planning and managing the resources.

Download Full-text

Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India

Scientific Reports ◽

10.1038/s41598-021-90898-w ◽

2021 ◽

Vol 11 (1) ◽

Author(s):

Fauzia ◽

L. Surinaidu ◽

Abdur Rahman ◽

Shakeel Ahmed

Keyword(s):

Groundwater Recharge ◽

Groundwater Exploration ◽

Crystalline Rocks ◽

Entire Area ◽

Cropping Patterns ◽

Support Tool ◽

Recharge Potential ◽

Groundwater Dynamics ◽

Potential Recharge

AbstractExtensive change in land use, climate, and over-exploitation of groundwater has increased pressure on aquifers, especially in the case of crystalline rocks throughout the world. To support sustainability in groundwater management require proper understating of groundwater dynamics and recharge potential. GIS based studies have gained immense popularity in groundwater exploration in recent years because they are fast and provide recent information on the resource for future growth. Thus, the present study utilized a GIS-based Weighted Overlay Index (WOI) model to identify the potential recharge zones and to gain deep knowledge of groundwater dynamics. The in situ infiltration tests have been carried out, which is the key process in groundwater recharge and is neglected in many cases for WOI. In the WOI, ten thematic layers from the parameters influencing and involved in the recharge process are considered to identify potential recharge zones. The results suggested a significant underestimation of recharge potential without considering site-specific infiltration rates that one needs to be considered. The present WOI model considered in situ infiltration information and classified the entire area into four recharge zones, good, moderate, poor, and very poor. The final integrated map compared with the real-time field data like water level fluctuation and infiltration to analyse occurrence and quantification of recharge. The estimated average groundwater draft is 21.9 mcm, while annual renewable recharge is only 5.7 mcm that causing a continuous fall of the groundwater table. The study is useful in selecting regions with more focussed recharge studies and suggested the need of reducing groundwater demand by changing cropping patterns through a predictive decision support tool.

Download Full-text

Assessment and Modeling of Groundwater Potential Zones by using Geospatial and Decision-making approaches: A case study in Anantapur district, Andhra Pradesh, India

Hydrospatial Analysis ◽

10.21523/gcj3.2021050104 ◽

2021 ◽

Vol 5 (1) ◽

pp. 34-44

Author(s):

B. Pradeep Kumar ◽

K. Raghu Babu ◽

M. Rajasekhar ◽

M. Ramachandra

Keyword(s):

Andhra Pradesh ◽

Primary Source ◽

Drainage Density ◽

Groundwater Potential ◽

Groundwater Exploration ◽

Groundwater Potential Zone ◽

Potential Zone ◽

Groundwater Potential Zones ◽

Thematic Layers ◽

Total Study Area

Freshwater scarcity is a major issue in Rayalaseema region in Andhra Pradesh (India). Groundwater is the primary source of drinking and irrigation water in Anantapur district, Andhra Pradesh, India. Therefore, it is important to identify areas having groundwater potential; however, the current methods of groundwater exploration consume a lot of time and money. Analytic Hierarchy Process (AHP)-based spatial model is used to identify groundwater potential zones in Anantapur using remote sensing and GIS-based decision support system. Thematic layers considered in this study were geology, geomorphology, soils, land use land cover (LULC), lineament density (LD), drainage density (DD), slope, and rainfall. According to Saaty’s AHP, all these themes and individual features were weighted according to their relative importance in groundwater occurrence. Thematic layers were finally combined using ArcGIS to prepare a groundwater potential zone map. The high weighted value area was considered a groundwater prospecting region. Accordingly, the GWPZ map was classified into four categories: very good, good, moderate, and poor. The very good GWPZ area is 77.37 km2 (24.93%) of the total study area. The northeastern and southeastern sections of the study area, as well as some medium patches in the center and western regions, are covered by moderate GWPZs, which cover an area of 53.07 km2 (17.10%). However, the GWP in the study area’s central, southwestern, and northern portions is poor, encompassing an area of approximately 79.31 km2 (25.56%). Finally, RS and GIS techniques are highly effective and useful for identifying GWPZs.

Download Full-text

Open-Source Software Application for Hydrogeological Delineation of Potential Groundwater Recharge Zones in the Singida Semi-Arid, Fractured Aquifer, Central Tanzania

Hydrology ◽

10.3390/hydrology7020028 ◽

2020 ◽

Vol 7 (2) ◽

pp. 28

Author(s):

Kassim Ramadhani Mussa ◽

Ibrahimu Chikira Mjemah ◽

Revocatus Lazaro Machunda

Keyword(s):

Open Source ◽

Groundwater Recharge ◽

Rainwater Harvesting ◽

Drainage Density ◽

Suitability Analysis ◽

Lineament Density ◽

Fractured Aquifer ◽

Starting Point ◽

Potential Groundwater ◽

Semi Arid

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.

Download Full-text

Spatial Prediction of Groundwater Potentiality Mapping Using Machine Learning Algorithms

10.21203/rs.3.rs-303246/v1 ◽

2021 ◽

Author(s):

Sunil Saha ◽

Amiya Gayen ◽

Kaustuv Mukherjee ◽

Hamid Reza Pourghasemi ◽

M. Santosh

Keyword(s):

Machine Learning ◽

Influencing Factors ◽

Groundwater Resources ◽

Learning Algorithms ◽

Drainage Density ◽

Groundwater Potential ◽

Machine Learning Algorithms ◽

Lineament Density ◽

Dug Wells ◽

Groundwater Potentiality

Abstract Machine learning techniques offer powerful tools for the assessment and management of groundwater resources. Here, we evaluated the groundwater potential maps (GWPMs) in Md. Bazar Block of Birbhum District, India using four GIS-based machine-learning algorithms (MLA) such as predictive neural network (PNN), decision tree (DT), Naïve Bayes classifier (NBC), and random forest (RF). We used a database of 85 dug wells and one piezometer location identified using extensive field study, and employed 12 influencing factors (elevation, slope, drainage density (DD), topographical wetness index, geomorphology, lineament density, rainfall, geology, pond density, land use/land cover (LULC), geology, and soil texture) for evaluation through GIS. The 85 dug wells and 1 piezometer locations were sub-divided into two classes: 70:30 for training and model validation. The DT, RF, PNN, and NBC MLAs were implemented to analyse the relationship between the dug well locations and groundwater influencing factors to generate GWPMs. The results predict excellent groundwater potential areas (GPA) DT RF of 17.38%, 14.69%, 20.43%, and 13.97% of the study area, respectively. The prediction accuracy of each GWPM was determined using a receiver operating characteristic (ROC) curve. Using the 30% data sets (validation data), accuracies of 80.1%, 78.30%, 75.20%, and 69.2% were obtained for the PNN, RF, DT, and NBC models, respectively. The ROC values show that the four implemented models provide satisfactory and suitable results for GWP mapping in this region. In addition, the well-known mean decrease Gini (MDG) from the RF MLA was implemented to determine the relative importance of the variables for groundwater potentiality assessment. The MDG revealed that drainage density, lineament density, geomorphology, pond density, elevation, and stream junction frequency were the most useful determinants of GWPM. Our approach to delineate the GWPM can aid in the effective planning and management of groundwater resources in this region.

Download Full-text

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

Journal of Geographical Research ◽

10.30564/jgr.v3i3.2160 ◽

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.

Download Full-text

Integrated Geospatial Multi Influencing Factor Approach to Delineate and Identify Groundwater Potential Zones in Kabul Province, Afghanistan

10.21203/rs.3.rs-211720/v1 ◽

2021 ◽

Author(s):

Muhammad Jamal Nasir ◽

Sajjad Khan ◽

Tehreem Ayaz ◽

Amir Zeb Khan ◽

Waqas Ahmad ◽

...

Keyword(s):

Groundwater Resources ◽

Influencing Factor ◽

Relative Weight ◽

Drainage Density ◽

Groundwater Potential ◽

Land Use Land Cover ◽

Groundwater Potential Zones ◽

Lineament Density ◽

Study Results ◽

Groundwater Potentiality

Abstract This study was an attempt to evaluate the groundwater potentiality in Kabul province, Afghanistan using geospatial multi influencing factor (MIF) approach. The influencing parameters employed for the assessment of groundwater potential zones (GWPZ) includes slope, geology, soil, land use/land cover, lineament density, rainfall and drainage density. The sub-classes within each influencing parameter were sub-divided, based on their effectiveness in groundwater potentiality as major, minor and no effect, and subsequently assigned a score value. The combined score value of these parameters was used for calculating the relative weight. The delineated GWPZ were classified in four groups, i.e. poor, moderate, good and very good GWPZ. The study results revealed that very good GWPZ covered an area of 354.87km2 (2% of the total area), good 1523.86 km2 (20%), moderate 2250.99 km2 (73%) and poor 477.19 km2 (5%). The study concluded that geospatial assisted MIF approach was very useful and efficient techniques for the assessment of GWPZ and can be effectively employed to enhance the conceptual understanding of groundwater resources of Kabul Basin, Afghanistan.

Download Full-text

Computational water management strategy of Tlawng River Basin using geo-informatics

Environmental Engineering Research ◽

10.4491/eer.2019.251 ◽

2019 ◽

Vol 25 (5) ◽

pp. 693-699

Author(s):

Lalhmingliana ◽

Ch.Udaya Bhaskara Rao ◽

Goutam Saha

Keyword(s):

River Basin ◽

Management Strategy ◽

Drainage Density ◽

Lineament Density ◽

Thematic Layers ◽

Multi Criteria Evaluation ◽

Slope Flow ◽

Water Management Strategy ◽

Thematic Data ◽

Made In

Aizawl city is experiencing seasonal water scarcity. Tlawng is the longest River in Mizoram which flows for about 234 km length in Mizoram in south - north direction and joins the River Barak in Cachar district of Assam state. As Tlawng River is close to the Aizawl city, it will be wise to make some safe and durable strategy for storing rain water safely in predefined reservoirs and use it during hour of needs for domestic and agricultural purposes. In fact, Aizawl city is located within the Tlawng River basin at an average elevation of about 1,200 metres above mean sea level. An attempt has been made in this study for identification of feasible sites for construction of water reservoirs at appropriate locations based on the integration of thematic data on slope, flow accumulation, lithology, drainage density, lineament density and lineament direction using the advanced tools of ArcGIS software. Thirty two ideal sites have been identified in the vicinity of Aizawl city based on the multi-criteria evaluation of the thematic layers.

Download Full-text

Distributed Groundwater Recharge Potentials Assessment Based on GIS Model and Its Dynamics in the Crystalline Rocks of South India

10.21203/rs.3.rs-145760/v1 ◽

2021 ◽

Author(s):

Fauzia Fauzia ◽

Surinaidu Lagudu ◽

Abdur Rahman ◽

Shakeel Ahmed

Keyword(s):

Groundwater Recharge ◽

Decision Support Tool ◽

Crystalline Rocks ◽

Cropping Pattern ◽

Entire Area ◽

Support Tool ◽

Recharge Potential ◽

Groundwater Dynamics ◽

Potential Recharge

Abstract Extensive change in land use, climate, and over-exploitation of groundwater has increased pressure on aquifers, especially in the case of crystalline rocks throughout the world. To support sustainability in groundwater management, require proper understating of groundwater dynamics and recharge potential. The present study utilized a GIS-based Weighted Overlay Index (WOI) model to identify the potential recharge zones and to gain deep knowledge of groundwater dynamics. The in situ infiltration tests have been carried out, which is the key process in groundwater recharge and is neglected in many cases for WOI. In the WOI, 10 thematic layers from the parameters influencing and involved in the recharge process are considered to identify potential recharge zones. The results suggested a significant underestimation of recharge potential, without considering site-specific infiltration rates that one needs to be considered. The WOI model considering in situ infiltration information classified the entire area into four recharge zones, good, moderate, poor, and very poor. The final integrated map compared with the real-time field data like water level fluctuation and infiltration to analyse occurrence and quantification of recharge. The estimated average groundwater draft is 21.9 mcm while annual renewable recharge is only 5.7 mcm that causing a continuous fall of the groundwater table. The study is useful in selecting regions with more focussed recharge studies and suggested that the need of reducing groundwater demand with the change in cropping pattern through a predictive decision support tool.

Download Full-text