Groundwater potential assessment in the Blue Nile River catchment, Ethiopia, using geospatial and multi-criteria decision-making techniques DOI Creative Commons

Yohanis Tamesgen,

Abunu Atlabachew Eshete, Muralitharan Jothimani

и другие.

Heliyon, Год журнала: 2023, Номер 9(6), С. e17616 - e17616

Опубликована: Июнь 1, 2023

Groundwater supplies have been exploited because of global water shortage. Therefore, effective management resources is crucial. Identifying potential groundwater regions in arid and mountainous terrains challenging for many developing nations a lack financial human resources. An integrated strategy using remote sensing, geographic information systems, multi-criteria decision analysis the hierarchical analytical process was used to identify zones Gulufa Watershed, Blue Nile River Basin, Ethiopia, which covers 1700 km2. Nine groundwater-influencing thematic layers were produced from conventional satellite data, including lineament density, lithology, slope, geomorphology, soil, land use/land cover, drainage rainfall, elevation. Satty scale values their classes determined based on experts' opinions literature. Thematic maps weights rates produce zone map ArcGIS weighted overlay spatial function tool. According results, prospect consists 383 km2 very high, 865 350 moderate, 58 low, 0.3 poor zones. Validation existing boreholes yielded close agreement, demonstrating method's accuracy. removal sensitivity more sensitive lithology than other layers. The created research region can be an essential reference identifying locations additional resource exploration, planning, management.

Язык: Английский

Integration of hydrogeological data, GIS and AHP techniques applied to delineate groundwater potential zones in sandstone, limestone and shales rocks of the Damoh district, (MP) central India DOI
Kanak N. Moharir,

Chaitanya B. Pande,

Vinay Kumar Gautam

и другие.

Environmental Research, Год журнала: 2023, Номер 228, С. 115832 - 115832

Опубликована: Апрель 11, 2023

Язык: Английский

Процитировано

125

Groundwater vulnerability assessment using GIS-based DRASTIC model in Nangasai River Basin, India with special emphasis on agricultural contamination DOI Creative Commons
Amit Bera, Bhabani Prasad Mukhopadhyay, Puja Chowdhury

и другие.

Ecotoxicology and Environmental Safety, Год журнала: 2021, Номер 214, С. 112085 - 112085

Опубликована: Март 6, 2021

Nangasai basin is a semi-arid watershed where agriculture the main source of economy. In present day, increasing population demands increase in food productivity which leads to use fertilizers and chemical pesticides agriculture. These on other hand mix up with groundwater pollution, affects human health adversely. So, for controlling contamination risk proper water resource management assessment vulnerability extremely important. Total 7 hydrogeological parameters have been considered this study, final map has prepared by overlay weighted method help DRASTIC index, classified into 5 vulnerable classes (very high, moderate, low, very low). south south-eastern regions namely Deghi, Bankada, Baram, Macha, Katin, Tilabani high observed. For validating model, quality parameters-nitrate TDS used accuracy 89% 86% respectively. Using effective as well scientifically approved methods, anthropogenic agricultural can be controlled managed will lower contamination. This further utilized base pollution its planning.

Язык: Английский

Процитировано

108

Groundwater potential zone mapping using GIS and Remote Sensing based models for sustainable groundwater management DOI Creative Commons
Abdur Rehman, Fakhrul Islam, Aqil Tariq

и другие.

Geocarto International, Год журнала: 2024, Номер 39(1)

Опубликована: Янв. 1, 2024

The present research is conducted in the southern region of Khyber Pakhtunkhwa, Pakistan, to identify groundwater potential zones (GWPZ). We used three models including Weight Evidence (WOE), Frequency Ratio (FR), and Information Value (IV) with twelve parameters (elevation, slope, aspect, curvature, drainage network, LULC, precipitation, geology, Lineament, NDVI, road, soil texture, that have been prepared integrated into ArcGIS 10.8. reliability applied models' results was validated using Area Under Receiver Operating Characteristics (AUROC). GWPZ were reclassified five classes, i.e. very low, medium, high, high zone. area occupied by mentioned classes WOE are low (10.14%), (19.58%), medium (26.75%), (27.10%), (16.40%), while FR (20.93%), (32.38%), (18.92%), (13.13%), (14.61%) IV (14.41%), (17.17%), (29.01%), (25.85%), High (13.53%). Success Rate Curve WOE, FR, 0.86, 0.91, 0.87, Predicted values 0.89, 0.93, 0.90, respectively. revealed all statistical performed well delineate GWPZ. However, use technique strongly encouraged evaluate GWPZ, its findings especially useful for managing resources urban planning. Our approaches assessing mapping can be any similar scenarios recommended as a helpful tool policymakers manage groundwater.

Язык: Английский

Процитировано

23

Exploration of groundwater potential zones mapping for hard rock region in the Jakham river basin using geospatial techniques and aquifer parameters DOI
Vinay Kumar Gautam,

Chaitanya B. Pande,

Mahesh Kothari

и другие.

Advances in Space Research, Год журнала: 2022, Номер 71(6), С. 2892 - 2908

Опубликована: Ноя. 21, 2022

Язык: Английский

Процитировано

50

Assessment of groundwater potential zone using MCDA and AHP techniques: case study from a tropical river basin of India DOI Creative Commons

Anitabha Ghosh,

Partha Pratim Adhikary, Biswajit Bera

и другие.

Applied Water Science, Год журнала: 2022, Номер 12(3)

Опубликована: Фев. 11, 2022

Abstract Shortage of potable water is a global problem, and this problem can be met by searching new areas where groundwater available. GIS an effective necessary tool to identify potential zones in area. In the present study, (GWPZs) were identified Kangsabati River basin east India having area about 6488 km 2 using multi-criteria decision analysis (MCDA) analytical hierarchy process (AHP). The criteria like geology, geomorphology, elevation, slope, drainage, lineament, curvature, topographic wetness, land use/land cover, soil extracted from satellite data weights for each parameter its sub-parameters assigned through based on their respective relevance as influencing factors recharge. Very low, moderate, high, very high potentiality represent 28.93%, 30.56%, 19.75%, 14.62%, 6.11% area, respectively. low-lying flat plains southeastern section, well centrally located dam, are ideal recharge, while upland plain northwestern part, with hard rock terrain, less so. This outcome has been verified pre-monsoon post-monsoon depth data, indicating that strategy most appropriate region. Thus, zone maps remain useful conducting extensive ground-based hydrogeological studies facilitate identification suitable bore well/dug sites.

Язык: Английский

Процитировано

47

GIS-based comparative assessment of groundwater potential zone using MIF and AHP techniques in Cooch Behar district, West Bengal DOI Creative Commons
Ujjal Senapati, Tapan Kumar Das

Applied Water Science, Год журнала: 2022, Номер 12(3)

Опубликована: Фев. 11, 2022

Abstract Global warming, change in climate and rapid growth of population have put a huge strain on the world's groundwater resources. The use excess has created drop water table. Increased for agriculture agro-based areas increases demand groundwater. current study been conducted Cooch Behar, an remote district North Bengal Indian state West Bengal, where high reduced levels. Comparative assessment Multi-Influencing Factor (MIF) Analytical Hierarchy Process (AHP) techniques used to create perspective mapping potential zone research region. Land land cover (LULC), rainfall, soil texture, geomorphology, lithology, drainage density, Normalized Differential Vegetation Index (NDVI), Topographic Wetness (TWI) map. MIF AHP Groundwater Potential Zones (GPZ) mapping. Output GPZ classified into 5 classes, i.e., very poor, moderate, good, excellent. technique shows that classes are covering 9% (285 km 2 ), 21% (67 30% (944 27% (837 ) 13% (410 area, respectively, whereas output from 8% (271 15% (508 24% (813 33% (1118 20% (677 respectively. Finally, maps verified using fluctuation data through Receivers Operating Characteristic curve (ROC). technique's Area Under Curve (AUC) score is 76.5%, while reveals 88.9% accuracy. Both assessing monitoring accurate reasonable. Thus, this type reliable more appropriate framework swiftly analyzing recharge directing location artificial structures other management operations agricultural-based areas.

Язык: Английский

Процитировано

46

Groundwater vulnerability and contamination risk mapping of semi-arid Totko river basin, India using GIS-based DRASTIC model and AHP techniques DOI
Amit Bera, Bhabani Prasad Mukhopadhyay,

Shubhamita Das

и другие.

Chemosphere, Год журнала: 2022, Номер 307, С. 135831 - 135831

Опубликована: Авг. 6, 2022

Язык: Английский

Процитировано

45

Machine learning and GIS-RS-based algorithms for mapping the groundwater potentiality in the Bundelkhand region, India DOI
Mukesh Kumar, Pitam Singh,

Priyamvada Singh

и другие.

Ecological Informatics, Год журнала: 2023, Номер 74, С. 101980 - 101980

Опубликована: Янв. 5, 2023

Язык: Английский

Процитировано

41

Delineation of suitable sites for groundwater recharge based on groundwater potential with RS, GIS, and AHP approach for Mand catchment of Mahanadi Basin DOI Creative Commons
Shreeya Baghel, Mahendra Prasad Tripathi, Dhiraj Khalkho

и другие.

Scientific Reports, Год журнала: 2023, Номер 13(1)

Опубликована: Июнь 18, 2023

Abstract Groundwater management requires a systematic approach since it is crucial to the long-term viability of livelihoods and regional economies all over world. There insufficient groundwater difficulties in storage plans as result increased population, fast urbanisation, climate change, well unpredictability rainfall frequency intensity. exploration using remote sensing (RS) data geographic information system (GIS) has become breakthrough research, assisting assessment, monitoring, conservation resources. The study region Mand catchment Mahanadi basin, covering 5332.07 km 2 located between 21°42′15.525″N 23°4′19.746″N latitude 82°50′54.503″E 83°36′1.295″E longitude Chhattisgarh, India. research comprises generation thematic maps, delineation potential zones recommendation structures for efficiently successfully recharging utilising RS GIS. Potential Zones (GPZs) were identified with nine layers RS, GIS, Multi-Criteria Decision Analysis (MCDA) method. Satty's Analytic Hierarchy Process (AHP) was used rank parameters that chosen. generated GPZs map indicated regions very low, low medium, medium high, high encompassing 962.44 , 2019.92 969.19 1380.42 region, respectively. found be accurate when compared fluctuation map, manage resources catchment. runoff area can accommodated by computing subsurface capacity, which will raise levels GPZs. According results, various recharge such farm ponds, check dams percolation tanks suggested appropriate locations boost conditions meet shortage water agriculture domestic use. This demonstrates integration GIS provide an efficient effective platform convergent analysis sets planning.

Язык: Английский

Процитировано

37

Delineation of potential groundwater recharge zones using remote sensing, GIS, and AHP approaches DOI

Mitina Upwanshi,

Kunal Damry,

Darshana Pathak

и другие.

Urban Climate, Год журнала: 2023, Номер 48, С. 101415 - 101415

Опубликована: Янв. 11, 2023

Язык: Английский

Процитировано

32