Mapping of Groundwater Potential Zones in Crystalline Terrain Using Remote Sensing, GIS Techniques, and Multicriteria Data Analysis (Case of the Ighrem Region, Western Anti-Atlas, Morocco)

This research work is intended as a contribution to the development of a multicriteria methodology, combining several factors to control the availability of groundwater resources, in order to optimize the choice of location of future drilling and increase the chances to take water from productive structures which will satisfy the ever-increasing water demand of local population (Arghen basin in the Western Anti-Atlas chain of Morocco). The geographic information system is used to develop thematic maps describing the geometry and the hydrodynamic functioning of the aquifer. In this study, 11 factors including geology, topography, and hydrology, influencing the distribution of water resources were used. Based on the Analytical Hierarchy Process (AHP) model, GIS, and remote sensing, the study mapped and classified areas according to their hydrogeological potential. The favorable potential sectors cover 17% of the total area of the basin. The medium potential sectors account for 64%, while the unfavorable areas cover 18% of the basin area. The groundwater potential map of the study area has been validated by comparing with data from 159 boreholes scattered throughout the basin.

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Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran)

Remote Sensing ◽

10.3390/rs12030490 ◽

2020 ◽

Vol 12 (3) ◽

pp. 490 ◽

Cited By ~ 13

Author(s):

Alireza Arabameri ◽

Saro Lee ◽

John P. Tiefenbacher ◽

Phuong Thao Thi Ngo

Keyword(s):

Groundwater Resources ◽

Groundwater Potential ◽

Rate Curve ◽

Yield Potential ◽

Validation Dataset ◽

Well Yield ◽

Potential Map ◽

Potential Mapping ◽

Groundwater Potential Map ◽

Groundwater Potential Mapping

The aim of this research is to introduce a novel ensemble approach using Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR), frequency ratio (FR), and random forest (RF) models for groundwater-potential mapping (GWPM) in Bastam watershed, Iran. This region suffers from freshwater shortages and the identification of new groundwater sites is a critical need. Remote sensing and geographic information system (GIS) were used to reduce time and financial costs of rapid assessment of groundwater resources. Seventeen physiographical, hydrological, and geological groundwater conditioning factors (GWCFs) were derived from a spatial geo-database. Groundwater data were gathered in field surveys and well-yield data were acquired from the Iranian Department of Water Resources Management for 89 locations with high yield potential values ≥ 11 m3 h−1. These data were mapped in a GIS. From these locations, 62 (70%) were randomly selected to be used for model training, and the remaining 27 (30%) were used for validation of the model. The relative weights of the GWCFs were determined with an RF model. For GWPM, 220 randomly selected points in the study area and their final weights were determined with the VIKOR model. A groundwater potential map was created by interpolating the values at these points using Kriging in GIS. Finally, the area under receiver operating characteristic (AUROC) curve was plotted for the groundwater potential map. The success rate curve (SRC) was computed for the training dataset, and the prediction rate curve (PRC) was calculated for the validation dataset. Results of RF analysis show that land use and land cover, lithology, and elevation are the most significant determinants of groundwater occurrence. The validation results show that the ensemble model had excellent prediction performance (PRC = 0.934) and goodness-of-fit (SRC = 0.925) and reasonably high classification accuracy. The results of this study could aid management of groundwater resources and assist planners and decision makers in groundwater-investment planning to achieve sustainability.

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

10.5194/egusphere-egu2020-22150 ◽

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

Dramatic population growth and climate change lead to an increasing demand for groundwater resources. According to The 2018 edition of the United Nations World Water Development Report, nearly 6 billion people will face severe water scarcity by 2050. Groundwater represents the world&#8217;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&#8217;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 very good (7.13%), good (35.44%), moderate (21.27%), poor (31.41%) and very poor (3.11%). With these techniques, we showed that very good and good groundwater zones are predominantly located in the alluvial plain and the lower river terrace, while poor 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.

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Delineation of the Groundwater Potential Using Remote Sensing and GIS: A Case Study of Ulhas Basin, Maharashtra, India

Archives of Photogrammetry, Cartography and Remote Sensing ◽

10.2478/apcrs-2019-0004 ◽

2019 ◽

Vol 31 (1) ◽

pp. 49-64

Author(s):

Arjun Doke

Keyword(s):

Remote Sensing ◽

Influencing Factor ◽

Groundwater Potential ◽

Geographical Information ◽

Artificial Groundwater Recharge ◽

Economic Activities ◽

Potential Map ◽

Groundwater Potential Map ◽

Gis Environment

Abstract Groundwater is one of the most valuable natural resources which is essential for the environmental, biological and socio-economic activities. The present paper aims to delineate groundwater potential of Ulhas basin in India through remote sensing and geographical information system. Several groundwater influencing factors such as geology, geomorphology, slope, landuse, rainfall, lineaments are mapped in GIS environment. Later, these factors were ranked on the basis of their influence on the groundwater potential of a region. After that all these factors were integrated together in GIS environment to prepare the groundwater potential map of Ulhas basin. By implementing influencing factor, it is observed that about 21%, 50% and 29% areas are falling under high, moderate, and low groundwater potential zones, correspondingly. The present study is highly valuable to the policymakers, administrative bodies, engineers for management of groundwater and preparing sustainable water resource plans in Ulhas basin. Additionally, the present paper will help to construct artificial groundwater recharge plan in the study area.

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USING THE GEOGRAPHICAL INFORMATION SYSTEM (GIS) AND REMOTE SENSING TECHNIQUES FOR MAPPING THE GROUNDWATER POTENTIAL ZONES IN KG TIMBANG DAYANG, KOTA BELUD, SABAH

Water Conservation and Management ◽

10.26480/wcm.01.2020.57.60 ◽

2020 ◽

Vol 4 (1) ◽

pp. 57-60

Author(s):

Zulherry Isnain ◽

Siti Nadia Abd Ghaffar

Keyword(s):

Remote Sensing ◽

Information System ◽

Geographical Information System ◽

Groundwater Potential ◽

Geographical Information ◽

Groundwater Potential Zones ◽

Thematic Maps ◽

Potential Map ◽

Groundwater Potential Map ◽

Remote Sensing Techniques

The growing demand for groundwater is due to several reasons such as the increment of population, agriculture, pollution, industrialization and urbanization. This study aims to map the groundwater potential zones by using the Geographical Information System (GIS) with remote sensing techniques in the study area. The study area is located at Kg Timbang Dayang and its surrounding at Kota Belud, Sabah. Eight parameters were studied that affect the occurrence of groundwater in the study area. Those parameters are obtained from existing maps, remote sensing imagery and associated databases. The parameters are; lithology, rainfall distribution, drainage density, lineament density, soil types, elevation, slope steepness and landuse. All these parameters will be used to create the thematic maps based on the given weightage values. Finally, all the thematic maps will be integrated to produce the final groundwater potential map of the study area. The groundwater potential map is classified into three categories which are low, moderate and high.

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GIS-Based Groundwater Potential Assessment in Varied Topographic Areas of Mianyang City, Southwestern China, Using AHP

Remote Sensing ◽

10.3390/rs13224684 ◽

2021 ◽

Vol 13 (22) ◽

pp. 4684

Author(s):

Qing Zhang ◽

Shuangxi Zhang ◽

Yu Zhang ◽

Mengkui Li ◽

Yu Wei ◽

...

Keyword(s):

Water Supply ◽

Groundwater Potential ◽

Southwestern China ◽

Borehole Data ◽

Hydrological Data ◽

Potential Map ◽

Groundwater Potential Map ◽

Emergency Water Supply ◽

Post Disaster ◽

Geological Background

Mianyang City is located in the varied topographic areas of Sichuan Province in southwestern China and is characterized by a complex geological background. This area is prone to disasters and its varied topography is inconvenient for emergency water storage and supply. Groundwater is essential for alleviating the demand for water and post-disaster emergency water supply in this area. This study applied AHP to integrate remote sensing, geological and hydrological data into GIS for the assessment of groundwater potential, providing a plan for the rational exploitation of groundwater and post-disaster emergency water supply in the area. Nine factors, including the spring calibration related to groundwater, were integrated by AHP after multicollinear checks. As a result, the geology-controlled groundwater potential map was classified into five levels with equal intervals. All the results were validated using borehole data, indicating the following: the areas with yield rates of , 1–20 , and 20–400 accounted for 2.66%, 36.1%, and 39.62%, respectively, whereas the areas with yield rates of 400–4000 and accounted for only 20.88% and 0.75% of the overall area. The flexibility of this quick and efficient method enables its application in other regions with a similar geological background.

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Mapping of Groundwater potential zones in Lingasugur Taluk in North-eastern part of Karnataka, India using Remote Sensing, GIS and multi-criteria data analysis

Disaster Advances ◽

10.25303/1412da1322 ◽

2021 ◽

Vol 14 (12) ◽

pp. 13-22

Author(s):

Ajgaonkar Swanand ◽

S. Manjunatha

Keyword(s):

Remote Sensing ◽

Groundwater Resources ◽

Drainage Density ◽

Groundwater Potential ◽

Groundwater Exploration ◽

Geographical Information ◽

Groundwater Potential Zones ◽

Thematic Maps ◽

North Eastern

Groundwater research has evolved tremendously as presently it is the need of society. Remote Sensing (RS) and Geographical Information System (GIS) are the main methods in finding the potential zones for the groundwater. They help in assessing, exploring, monitoring and conserving groundwater resources. A case study was conducted to find the groundwater potential zones in Lingasugur taluk, Raichur District, Karnataka State, India. Ten thematic maps were prepared for the study area such as geology, hydrogeomorphology, land use/ land cover, soil type, NDVI, NDWI, slope map, lineament density, rainfall and drainage density. A weighted overlay superimposed method was used after converting all the thematic maps in raster format. Thus from analysis, the classes in groundwater potential were made as very good, moderate, poor and very poor zones covering an area of 10.1 sq.km., 169.25 sq.km., 1732.31 sq.km. and 53.66 sq.km. respectively. By taking the present study into consideration, the future plans for urbanization, recharge structures and groundwater exploration sites can be decided.

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Landslide susceptibility mapping using GIS and Remote Sensing: A case study of the Rangamati District, Bangladesh

10.21203/rs.3.rs-23600/v1 ◽

2020 ◽

Author(s):

Afruja Begum ◽

Md Shofiqul Islam ◽

Md. Muyeed Hasan

Keyword(s):

Remote Sensing ◽

Water Pressure ◽

Research Work ◽

Slope Angle ◽

Steep Slope ◽

Landslide Susceptibility Mapping ◽

Dominant Factor ◽

Natural Phenomenon ◽

Slope Aspect ◽

Gis And Remote Sensing

Abstract The landslide is a natural phenomenon and one of the most commonplace disasters in the Rangamati Hill tract area which appeals for better forecasting and specify the landslide susceptible zonation. This research work examines the application of GIS and Remote Sensing techniques based on different parameters such as altitude, slope angle, slope aspect, rainfall, land-use land-cover (LULC), geology and stream distance by heuristic model to identify the landslide susceptible zones for the study area. Among the parameters, rainfall, steep slope, geology and LULC are the dominant factor that triggering the landslide. Clayey or silty soils of the study area during heavy and prolong rainfall behave a flow of debris due to water pressure within the soil, resulting landslides. Steep slope has greater influences for weather zones of the rock-masses for susceptible landslides. Result and field observation indicate that the population density and LULC has a vital effect on landslide within the study area. However, landslide susceptible zones were created based on the susceptibility map of the study area which shows that about 19.43% of the area are at low susceptible zone, 56.55% of the area are at medium susceptible zone, 19.19% of the area are in the high susceptible zone and 4.81% of the area is at the very high susceptible zone.

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