scholarly journals Assessment of Groundwater Potential Based on Multicriteria Decision Making Model and Decision Tree Algorithms

2016 ◽  
Vol 2016 ◽  
pp. 1-11 ◽  
Author(s):  
Huajie Duan ◽  
Zhengdong Deng ◽  
Feifan Deng ◽  
Daqing Wang
Keyword(s):  
Decision Tree ◽  
Global Climate ◽  
Groundwater Potential ◽  
Kappa Coefficient ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Multicriteria Decision ◽  
Tree Algorithms ◽  
Cart Algorithm

Groundwater plays an important role in global climate change and satisfying human needs. In the study, RS (remote sensing) and GIS (geographic information system) were utilized to generate five thematic layers, lithology, lineament density, topology, slope, and river density considered as factors influencing the groundwater potential. Then, the multicriteria decision model (MCDM) was integrated with C5.0 and CART, respectively, to generate the decision tree with 80 surveyed tube wells divided into four classes on the basis of the yield. To test the precision of the decision tree algorithms, the 10-fold cross validation and kappa coefficient were adopted and the average kappa coefficient for C5.0 and CART was 90.45% and 85.09%, respectively. After applying the decision tree to the whole study area, four classes of groundwater potential zones were demarcated. According to the classification result, the four grades of groundwater potential zones, “very good,” “good,” “moderate,” and “poor,” occupy 4.61%, 8.58%, 26.59%, and 60.23%, respectively, with C5.0 algorithm, while occupying the percentages of 4.68%, 10.09%, 26.10%, and 59.13%, respectively, with CART algorithm. Therefore, we can draw the conclusion that C5.0 algorithm is more appropriate than CART for the groundwater potential zone prediction.

scholarly journals Determination of groundwater potential distribution of Ceylanpinar plain (Turkey) in Upper Mesopotamia by using geographical information techniques and Fuzzy-AHP with MCDM

2021 ◽  
Author(s):  
Mehmet Fatih Dilekoglu ◽  
Veysel Aslan
Keyword(s):  
Global Climate ◽  
Fuzzy Ahp ◽  
Groundwater Resources ◽  
Groundwater Potential ◽  
Geographical Information ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Yield Data ◽  
Potential Region

Abstract The Ceylanpinar Plain is an important part of Upper Mesopotamia and one of the largest plains of Turkey, is in danger of facing water scarcity due to global climate change. For this reason, the potential of Groundwater Resources is important. In this study, groundwater potential zones in the Ceylanpinar Plain basin were investigated utilizing a weighted overlay analysis method combined with fuzzy Analytical Hierarchy Process (FAHP) multi-criteria decision-making (MCDM) approaches and geoinformation technologies. The groundwater potential zone map was created using ten theme layers that were produced and processed in a GIS environment (GPZM). After that, possible groundwater zones were identified and classified into five categories: very good, good, medium, poor, and very poor. By assessing the present open well distribution and yield data of selected wells within the research catchment, the predicted GWPZ (groundwater potential zones) was confirmed. As a result, 17% of the study area was found to be very good, 39% good, 20% moderate, 21.4% poor and 2.6% very poor. This study provides a key estimate and crucial information for regional water administrators and officials in southeast Turkey by giving a map of the groundwater potential region, in order to ensure sustainable groundwater management.

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

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.

scholarly journals Evaluation of Groundwater Potential by GIS-Based Multicriteria Decision Making as a Spatial Prediction Tool: Case Study in the Tigris River Batman-Hasankeyf Sub-Basin, Turkey

Water ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 2630 ◽  
Author(s):  
Recep Çelik
Keyword(s):  
Decision Making ◽  
Multicriteria Decision Making ◽  
Spatial Prediction ◽  
Groundwater Potential ◽  
Drainage Area ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Prediction Tool ◽  
Multicriteria Decision ◽  
Tigris River

The Tigris River Batman-Hasankeyf region sub-basin drainage area is in the Upper Tigris basin and lies between the area where the Batman stream joins the river and the Yanarsu stream flows into the river. Intensive agricultural activities are carried out in this region, and irrigation is generally obtained from groundwater just as it moves away from the riverfront. The study area is a valuable basin for both Turkey and the Middle East. In this study, the effectiveness of the Geographic Information System (GIS)-based multicriteria decision-making (MCDM) analytic hierarchy process (AHP) as a spatial prediction tool was utilized in exploring the groundwater potential of the drainage area. In the analysis, eight hydrological and hydrogeological criteria were considered as influencing factors, namely, geomorphology, geology, rainfall, drainage density, slope, lineament density, land use, and soil properties. The weights of these criteria were determined through the AHP method; the Arc GIS 10.2.2 program and its submodules were used. The major findings of the study were that groundwater-potential index values of the basin were derived. Groundwater-potential-zone evaluation of the basin was obtained as follows: very poor (19%), poor (17%), moderate (34%), good (17%), very good (13%); and groundwater potential zone (GWPZ) maps of the sub-basin were created.

scholarly journals Groundwater Potential Zone Mapping using Geo-spatial Tools for Watersheds in Upper Bhima Basin, Pune, India

2019 ◽  
Vol 8 (4) ◽  
pp. 3548-3555
Keyword(s):  
Satellite Image ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Controlling Factors ◽  
Groundwater Potential Zone ◽  
Subsurface Water ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Knowledge Based ◽  
Geospatial Tools

Water is one of the primary requirements of any region for sustainable economic development. There are number of limitations regarding availability of surface and subsurface water due to various reasons, hence exploration of groundwater becomes inevitable. Main objective of this study was to map groundwater potential zones for study area using geospatial tools; which comprises of watersheds in Upper Bhima Basin, Pune district. The primary groundwater controlling factors considered are geomorphology, soil, land use land cover, slope, drainage density and lineament density; for which respective maps were prepared using satellite image, toposheets and incidental data. Maps for various layers according to above said controlling factors were generated from different data collected. Finally these thematic layers were integrated using ArcGIS software to prepare groundwater potential zone map for the study area. Groundwater potential zones were marked as ‘very poor, ‘poor’, ‘moderate’, ‘good’ and ‘very good’, based on knowledge based weightage factor. This, geo-spatial techniques based, result was validated using field data collected from the study area. It is concluded that using geospatial tool, identification and mapping for groundwater potential zones become comparatively easy task with saving lot of time and cost and with greater accuracy.

scholarly journals Multi-Criteria Decision Making and Dempster-Shafer Model Based Delineation of Groundwater Prospect Zones From A Semi-Arid Environment

2021 ◽  
Author(s):  
Hemant Kumar Pandey ◽  
Vishal Kumar Singh ◽  
Sudhir Kumar Singh
Keyword(s):  
Decision Making ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Groundwater Potential Zone ◽  
Groundwater Prospect ◽  
Potential Zone ◽  
Multi Criteria Decision Making ◽  
Groundwater Potential Zones ◽  
Ahp Model ◽  
The North

Abstract The present study illustrates the delineation of the groundwater potential zones in one of the most critical and drought affected areas under Bundelkhand region of Uttar Pradesh. Hydrological evaluations were carried out in district Mahoba using GIS tools and remote sensing data which ultimately yielded several thematic maps, such as lineament density, land use/land cover, drainage density, lithology, slope, geomorphology, wetness index (WTI), altitude and soil. CartoDEM data which have spatial resolution of 30m i.e. equivalent to one arc second were used to create digital elevation model, drainage density, altitude, WTI and slope. The thematic layers were assigned relative weightages as per their groundwater potential prospects under multi-criteria decision making (MCDM) method through analytical hierarchy process (AHP). To recognize the groundwater potential zone, weighted overlay analysis was performed using ArcMap software. Additionally, for testing of the Dempster-Shafer model, 16 borewells in high potential areas have been selected. Based on the probability of the groundwater occurrence, the belief factor was equated. Further combining the weighted layers, groundwater potential zones were obtained. The groundwater potential maps illustrate five zones having different potential in the Mahoba district. According to the AHP model the north-west side of the study area is characterized with very good potential zones whereas the north-east and south-east region constitute medium and poor groundwater potential zones respectively. It reflects that more than 50% of the area is having medium groundwater potential while 30 percent of the area falls under low potential zone. 10% of the study area falls under very good groundwater potential zones. According to the DS model, very high groundwater zones constitute only 7% and the remaining area falls under poor potential. Overall accuracy of the DS model was higher than AHP model.

scholarly journals An Approach to Delineate Potential Groundwater Zones in Kilinochchi District, Sri Lanka, Using GIS Techniques

2021 ◽  
Author(s):  
Vyddiyaratnam Pathmanandakumar ◽  
Nadarajapillai Thasarathan ◽  
Manjula Ranagalage
Keyword(s):  
Sri Lanka ◽  
Groundwater Resources ◽  
Groundwater Potential ◽  
Geographic Information ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Thematic Layers ◽  
Potential Groundwater ◽  
Very High

The scarcity of surface water resources in the dry season in the Kilinochchi district increases the demand for freshwater. Therefore, the existing groundwater resources should be managed to overcome the situation. Several authors worldwide have published studies on the delineation of potential groundwater zone. However, only a few studies addressed the delineation of potential groundwater zones in the Kilinochchi district. This study aims to delineate potential groundwater zones in Kilinochchi, Sri Lanka using integrated Remote Sensing, Geographic Information Systems, and Analytic Hierarchy Process techniques. Groundwater potential zones are demarcated for the Kilinochchi district by overlaying thematic layers: geology, geomorphology, land use/land cover, soil types, drainage density, slope, lineament, and rainfall. Saaty's scale was applied to the assigned weights of the chosen thematic layers and their features. The thematic layers were integrated into a Geographic Information System, and a weighted overlay analysis is carried out to delineate groundwater zones. Thus the resultant map is categorized into five different potential zones: very low, low, moderate, high, and very high. It was found that the very high groundwater potential zone is mainly found in the north-eastern part of the study area covering 111.26 km2. The upper north-western, middle, and eastern parts of the study area fall within the high groundwater potential zone covering about 507.74 km2. The moderate groundwater potential zones (309.89 km2) mainly occurred in the western part, and the extreme west part of the study area falls under low (207.78 km2) and very low (59.12 km2) zones. The groundwater potential map was validated with the existing seventy-nine wells, which indicated a good prediction accuracy of 81.8%. This research will help policymakers better manage the Kilinochchi district's groundwater resources and gives scope for further research into groundwater exploration in the area.

scholarly journals Application of Remote Sensing, GIS and Hydrogeophysics to Groundwater Exploration in parts of Lagos Metropolis: A case study of Oshodi/Isolo LGA

2019 ◽  
Vol 3 (1) ◽  
pp. 41-55 ◽  
Author(s):  
E. E. Epuh ◽  
K. A. Sanni ◽  
M. J. Orji
Keyword(s):  
Remote Sensing ◽  
Groundwater Resources ◽  
Groundwater Potential ◽  
Remote Sensing And Gis ◽  
Groundwater Potential Zone ◽  
Landsat 8 ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Thematic Maps ◽  
Groundwater Availability

Productivity through groundwater is quite high as compared to surface water, but groundwater resources have not yet been properly exploited. The present study is used to delineate various groundwater potential zones for the assessment of groundwater availability in Lagos metropolis using remote sensing and GIS and hydrogeophysics techniques. Landsat 8, SRTM, geological, soil, and rainfall data were used in the study to prepare various thematic maps, viz., geomorphological, slope, soil, lineament density, rainfall and land use maps. On the basis of relative contribution of each of these maps towards groundwater potential, the weight of each thematic map have been selected and assigned to each map. Hydrogeophysics investigation using Vertical Electric Sounding (VES) was applied to validate the remote sensing and GIS results. All the thematic maps have been registered with one another through ground control points and integrated using the weighted overlay method in GIS for computing groundwater potential index. Based on the methological approach, the ground water potential zones were delineated. The results showed that there are five categories of groundwater potential zones within the study area in which percentage values were contained in each of the categories thereby making major portion of the study area “high” and “moderate” prospect while a few scattered areas have “low” prospect. The very high potential areas are mainly concentrated along the River Alluvium while the “very low” prospect are majorly where there is sand and clay. The best groundwater potential zone is in the southern part due to the presence of fractures, swamp soils which have high infiltration ability and the presence of waterbody which is chiefly accountable for the groundwater recharge in any area. The VES data showed the depth of the aquifer for good water and the polluted aquifer within the study area.

scholarly journals Using GIS and Remote Sensing Techniques for Delineation of Groundwater Potential Zones - A Case Study of the Titel Municipality, Serbia

2020 ◽  
Author(s):  
Mirjana Radulović ◽  
Tijana Đorđević ◽  
Nastasija Grujić ◽  
Branislav Pejak ◽  
Sanja Brdar ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Groundwater Resources ◽  
Drainage Density ◽  
Groundwater Potential ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Gis And Remote Sensing ◽  
Freshwater Resource ◽  
Artificial Surface

<p>Dramatic population growth and climate change lead to an increasing demand for groundwater resources. According to <em>The 2018 edition of the United Nations World Water Development Report</em>, nearly 6 billion people will face severe water scarcity by 2050. Groundwater represents the world’s largest available freshwater resource and it is essential for domestic purpose, industrial, and agricultural uses. Therefore, it is very important to identify the potential locations for new groundwater zones development. Here, we utilized geographic information system (GIS) and remote sensing (RS) techniques for the delineation of groundwater potential zones in the Titel Municipality, located in the Autonomous Province of Vojvodina. The groundwater in the study area is affected by elevation difference, agricultural production, and its geographical position. Titel Municipality has a very good agriculture potential that can be only fully exploited by improving groundwater management. Considering that, for the delineation of groundwater potential zones we prepared 6 thematic layers such as geology, geomorphology, land use/land cover, soil, drainage density, and slope. According to their relevant importance in groundwater occurrence, all layers and their features were assigned weights using the Saaty’s scale. Weights of layers were normalized using analytical hierarchical process techniques (AHP). Finally, layers were integrated and overlaid using QGIS software for generating the Groundwater Potential Zone (GWPZ) map of the study area. As a result, the groundwater potential zones in the Titel Municipality were characterized and classified into five classes as <em>very good</em> (7.13%), <em>good</em> (35.44%), <em>moderate</em> (21.27%), <em>poor</em> (31.41%) and <em>very poor</em> (3.11%). With these techniques, we showed that <em>very good</em> and <em>good</em> groundwater zones are predominantly located in the alluvial plain and the lower river terrace, while <em>poor</em> zones mostly evident on the landform of the loess plateau and artificial surface. The GWPZ map will serve as a useful guide for sustainable management and utilization of the region as well as to improve the irrigation facility and develop the agriculture productivity of the area.</p>

scholarly journals Modeling Groundwater Potential Zones across Sulaimani Governorate Using Geographic Information System and Multi-influencing Factor Techniques

2021 ◽  
Vol 5 (1) ◽  
pp. 13
Author(s):  
Haveen Muhammed Rashid
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Influencing Factor ◽  
Specific Weight ◽  
Groundwater Potential ◽  
Geographic Information ◽  
High Potential ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones

Groundwater is one of the most important natural resources in the world. The presence of groundwater is the result of interaction of several factors such as: hydrology, geology, climate, ecology, and physiography. The purpose of this paper is to produce groundwater potential zones which are useful in determining the amount of groundwater available in Sulaimani Governorate, North of Iraq. Geographic information system database for six different thematic layers (digital elevation model, rainfall, soil texture, drainage density, slope and land use/land cover) were generated. The study approach involved integration of six layers carried out based on the multiplication of each data raster values with specific weight using weighted overlay analysis method. Raster maps of all the layers assigned a fixed score and weight using multi-influencing factor technique. Based on the resulted map the study area has been divided into four zones that had very high potential zone (1%), high potential zone (14%), moderate zone potential (79%) and low potential zone (6%). About 50% of the high groundwater potential zone were located in Halabja, Rania, and Pshdar districts. Obtained results can be useful in localizing areas of exploration, preventing excessive exploitation of groundwater and planning for suitable sites of artificial groundwater.

scholarly journals Identification of Groundwater Potential Zones using Geospatial Techniques in Palar River Basin, Tamil Nadu, India

2021 ◽  
Author(s):  
MANJUNATHAN NARAYANAN ◽  
THIRUKUMARAN VENUGOPAL
Keyword(s):  
Spatial Variation ◽  
Water Level ◽  
River Basin ◽  
Arima Model ◽  
Research Work ◽  
Groundwater Potential ◽  
Groundwater Potential Zone ◽  
Potential Zone ◽  
Groundwater Potential Zones ◽  
Geospatial Techniques

Abstract The present research work is aimed to identify the groundwater potential zones in the Palar River Basin (PRB). The Auto Regressive Integrated Moving Average (ARIMA) model, and geospatial techniques were used to determine the Groundwater Potential Zone (GPZ). Time series analysis is commonly used in a broad range of scientific applications including hydrology, metrology, geo-statistics, engineering and environmental management fields. The geospatial historical data of rainfall and water level recorded at yearly intervals for 14 years (2005 to 2018) was used to identify the fluctuation of water level with respect to rainfall with lower and upper confidence levels and eventually leads to identify the spatial variation of the groundwater potential zones. The ARIMA model evolved from analysis was further classified into Four types of goodness of fits namely excellent fit, good fit, poor fit, and no fit. The spatial variation of groundwater potential occurrence and behaviour of the region is controlled by geology, lineament, geomorphology and drainage. These layers have been integrated with the ArcGIS platform for generating Groundwater Potential Zone (GPZ) maps. The validation of the result shows that Excellent fits 40 wells (12.82%), good fits 108 wells (34.62%), poor fits 58 wells (16.66%), and no fits 106 wells (33.97%), the study area good groundwater potential zones approximately 47.44%. This research suggests that a good groundwater potential zone occurs in patches of the southern and eastern parts of the study area.

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