Integrating GIS and remote sensing for delineation of groundwater potential zones in Bundelkhand Region, India DOI Creative Commons
Mukesh Kumar, Pitam Singh,

Priyamvada Singh

и другие.

The Egyptian Journal of Remote Sensing and Space Science, Год журнала: 2022, Номер 25(2), С. 387 - 404

Опубликована: Март 16, 2022

The present research aims to find the groundwater prospective areas by using Geographic Information System and Remote Sensing based frequency ratio technique. data sets that affect such as geomorphology, lithology, slope, soil, rainfall, drainage density, lineament density land use/ cover were taken under consideration for finding in Bundelkhand region, India. Thematic maps of all above-mentioned factors have been prepared from remotely sensed data, different organizations departments. weights each attribute class thematic layer are assigned according A total, 799 numbers spring locations discharge rate 108 well obtaining every parameter used testing obtained result, respectively. Finally, layers combined raster calculator command ArcGIS software develop map zones region. produced classified into five very high, moderate, low verified actual yield data.

Язык: Английский

Delineation of groundwater potential zones using MIF and AHP models: A micro-level study on Suri Sadar Sub-Division, Birbhum District, West Bengal, India DOI
Subhasish Sutradhar, Prolay Mondal, Niladri Das

и другие.

Groundwater for Sustainable Development, Год журнала: 2021, Номер 12, С. 100547 - 100547

Опубликована: Янв. 12, 2021

Язык: Английский

Процитировано

51

A GIS based Fuzzy-AHP for delineating groundwater potential zones in tropical river basin, southern part of India DOI Creative Commons
Arun Bhadran, Drishya Girishbai,

N. P. Jesiya

и другие.

Geosystems and Geoenvironment, Год журнала: 2022, Номер 1(4), С. 100093 - 100093

Опубликована: Июнь 3, 2022

Groundwater plays a vital role in the development of ecological niches, durability environment, and socio-economic growth an area. To meet demand for groundwater over increasing population, scientific community stresses prospective identifying potential zones (GWPZ), aiming at conservation, planning, regulation optimum utilization this natural resource. The GWPZ evaluation Karuvannur River Basin (KRB) southern part India was carried out through GIS-Fuzzy-Analytical Hierarchy Process (FAHP), by assigning weights to interdependent factors controlling potentials such as geomorphology (Gm), slope(S), geology(G), drainage density (Dd), lineament (Ld) Land Use Cover (Lu) with aid Geographical Information system (GIS). FAHP includes pairwise comparison criteria sub-criteria elements expressed Triangular Fuzzy Numbers (TFNs), which can avoid vagueness, imprecision, uncertainty linguistic scale. model result validated depth water level data dug wells plotting them on map. This study reveals that method is efficient delineating region accuracy 80.9%. Further, are reliant underlying lithology; very good (48.1%) aquifers occupy coastal area; (12.7%); moderate (18.3%) provided secondary porosity structures while poor (20.9%) eastern hard rock areas KRB. type cost-effective be used sustainable policies management.

Язык: Английский

Процитировано

37

An integrated geoinformatics and hydrogeological approach to delineating groundwater potential zones in the complex geological terrain of Abuja, Nigeria DOI

Mary Etuk,

Ogbonnaya Igwe,

Johnbosco C. Egbueri

и другие.

Modeling Earth Systems and Environment, Год журнала: 2022, Номер 9(1), С. 285 - 311

Опубликована: Авг. 26, 2022

Язык: Английский

Процитировано

32

Application of analytical hierarchical process, multi-influencing factor, and geospatial techniques for groundwater potential zonation in a semi-arid region of western India DOI
Brijesh Kumar Yadav,

Lal Chand Malav,

Abhishek Jangir

и другие.

Journal of Contaminant Hydrology, Год журнала: 2022, Номер 253, С. 104122 - 104122

Опубликована: Дек. 16, 2022

Язык: Английский

Процитировано

31

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

Процитировано

20

Delineation of environmentally sustainable urban settlement using GIS-based MIF and AHP techniques DOI Creative Commons
Nitin Liladhar Rane,

Saurabh P. Choudhary,

Arjun Saha

и другие.

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

Опубликована: Янв. 1, 2024

Choosing appropriate locations for built-up growth while maintaining natural balance has become necessary sustainable urban planning. To this end, two multi-criteria decision-making (MCDM) approaches—the multi-influencing factor (MIF) and the analytical hierarchy process (AHP)—have been applied in work. The MIF model results show that 23.546% of study region was very highly suitable newly areas, 18.786% restricted settlement, whereas, AHP model, 28.907% area suitable, 17.619% settlement. Finally, dependability efficiency models used were assessed through receiver operating curve (ROC) under (AUC) analysis. comparative analysis demonstrates approach (AUC 0.817) is more reliable than 0.783). present work provides new insights to integrate GIS tools with MCDM practical land suitability assessment.

Язык: Английский

Процитировано

9

Delineation of groundwater potential zones using GIS and AHP techniques in Coimbatore district, South India DOI
Karung Phaisonreng Kom,

B. Gurugnanam,

V. Sunitha

и другие.

International Journal of Energy and Water Resources, Год журнала: 2022, Номер 8(1), С. 85 - 109

Опубликована: Апрель 1, 2022

Язык: Английский

Процитировано

28

Modelling of groundwater potential zone in hard rock-dominated drought-prone region of eastern India using integrated geospatial approach DOI
Tanmoy Biswas, Subodh Chandra Pal,

Dipankar Ruidas

и другие.

Environmental Earth Sciences, Год журнала: 2023, Номер 82(3)

Опубликована: Янв. 28, 2023

Язык: Английский

Процитировано

16

Application of hybrid model-based machine learning for groundwater potential prediction in the north central of Vietnam DOI
Huu Duy Nguyen,

Van Hong Nguyen,

Quan Vu Viet Du

и другие.

Earth Science Informatics, Год журнала: 2024, Номер 17(2), С. 1569 - 1589

Опубликована: Янв. 12, 2024

Язык: Английский

Процитировано

6

Fuzzy AHP based GIS and remote sensing techniques for the groundwater potential zonation for Bundelkhand Craton Region, India DOI
Mukesh Kumar, Pitam Singh,

Priyamvada Singh

и другие.

Geocarto International, Год журнала: 2021, Номер 37(22), С. 6671 - 6694

Опубликована: Июнь 22, 2021

In this article, GIS, remote sensing (RS) and fuzzy AHP are used to develop a methodology delineate the groundwater potential zones. GIS-RS technique is prepare different thematic maps that influence potentiality. Fuzzy method assign weights ratings layers their attributes classes, respectively. After assigning weight rating, Groundwater index calculated by multiplying each layer its attribute class adding all of them. Thus, (GWPI) classify The in study area classified into five classes such as very low (0.51% total area), (13.58%), moderate (61.25%), high (23.42%) (1.24%). delineated zone map verified using well depth data, obtained from central board (CGWB), India.

Язык: Английский

Процитировано

33