Groundwater quality evaluation using water quality index and geospatial techniques in parts of Anantapur District, Andhra Pradesh, South India

HydroResearch, Journal Year: 2024, Volume and Issue: 7, P. 86 - 98

Published: Jan. 1, 2024

The main aim of this research is to evaluate the quality groundwater in parts Anantapur district, Andhra Pradesh, for drinking and irrigation purposes. Groundwater samples were collected from various locations study area during post-monsoon season analyzed different parameters including pH, EC, TDS, Ca2+, Mg2+, Na+, K+, HCO3−, Cl−, SO42−, NO3−. results then compared with water standards World Health Organization (WHO). major ions found following order: Na+ > Ca2+ Mg2+ K+ = HCO3− SO42− Cl− obtained data was mapped using Arc-GIS technique show spatial distribution pattern physicochemical properties ion concentrations groundwater. index showed that 69% are very poor, 31% unfit purposes due effective leaching ions, over-exploitation groundwater, direct discharge effluents, agricultural impact. Based on Gibbs diagram, fall within rock dominance region. majority fell into C3S1 category, which denotes high salinity low sodium moderately suitable purposes, according USSL diagram. According Wilcox classification, 27% 2% deemed doubtful unsuitable, respectively, while farming. In addition, most moderate suitability when evaluated SAR, %Na, PI, RSC, MAR, KR. Most samples, exception a few spots, turned out be irrigation. However, human activity, some had levels contamination higher than allowed needed treated before consumption.

Language: Английский

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Integrated studies for land suitability analysis towards sustainable agricultural development in semi-arid regions of AP, India

Geosystems and Geoenvironment, Journal Year: 2022, Volume and Issue: 2(2), P. 100131 - 100131

Published: Sept. 7, 2022

Land suitability analysis (LSA) is the progression of influence if a certain piece land suitable for specific use. study crops an essential contemporary step in identifying appropriate and sustainable use strategies to enhance land's potential. LSA agriculture one most capable models exposing apprehension arable forecasting allocation long-term growth semi-arid regions. As result, goal this research provide conceptual process that will aid increasing green cover address environmental challenges prevent groundwater recharge. Several thematic layers like soils, geology, slope, geomorphology, Drainage Density (DD), Landuse landcover (LULC), Soil pH, soil nitrogen, phosphorous, potassium are derived by using collateral data, satellite images involved analysis. The Multicriteria Decision Making (MCDM), with Analytical Hierarchy Process (AHP) based pairwise comparison matrix, was applied estimate agriculture. outcomes revealed, around 80.53 sq.km (26.55%) highly suitable, 87.38 (28.81%) moderately 82.34 (27.15%) marginally 53.07 (17.50%) not region. decision-making AHP tool combined GIS presents unique technique, findings from work might be valuable viable agricultural lands diverse regions world.

Language: Английский

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Identification of climate change impact and thermal comfort zones in semi-arid regions of AP, India using LST and NDBI techniques

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 407, P. 137175 - 137175

Published: April 10, 2023

Language: Английский

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Geospatial Technology for Sustainable Agricultural Water Management in India—A Systematic Review

Geomatics, Journal Year: 2024, Volume and Issue: 4(2), P. 91 - 123

Published: March 22, 2024

Effective management of water resources is crucial for sustainable development in any region. When considering computer-aided analysis resource management, geospatial technology, i.e., the use remote sensing (RS) combined with Geographic Information Systems (GIS) proves to be highly valuable. Geospatial technology more cost-effective and requires less labor compared ground-based surveys, making it suitable a wide range agricultural applications. Effectively utilizing timely, accurate, objective data provided by RS technologies presents challenge field management. Satellite-based measurements offer consistent information on hydrological conditions across extensive land areas. In this study, we carried out detailed focused addressing issues India through application GIS technologies. Adhering Preferred Reporting Items Systematic Reviews Meta-Analysis (PRISMA) guidelines, systematically reviewed published research articles, providing comprehensive analysis. This study aims explore practices goal enhancing their effectiveness efficiency. primarily examines current Indian sustainability. We revealed that considerable has used multispectral Landsat series data. Cutting-edge like Sentinel, Unmanned Aerial Vehicles (UAVs), hyperspectral have not been fully investigated assessment monitoring resources. Integrating allows monitoring, offering valuable recommendations effective

Language: Английский

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Dynamic Land Degradation Assessment: Integrating Machine Learning with Landsat 8 OLI/TIRS for Enhanced Spectral, Terrain, and Land Cover Indices

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 2, 2024

Language: Английский

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Unlocking the hidden potential: groundwater zone mapping using AHP, remote sensing and GIS techniques

Geomatics Natural Hazards and Risk, Journal Year: 2023, Volume and Issue: 14(1)

Published: Oct. 19, 2023

Groundwater resource problems are increasing development and planning challenges due to climate change overexploitation, necessitating assessments of their potential productivity. The study area has been facing a groundwater level decline problem for many years, these results can help increase the in basaltic rock area. In this research, we have worked on demarcation suitability zones using GIS Analytical Hierarchical Process (AHP) methods Urmodi River Basin. This research prepared eight thematic maps, that is, geomorphology, geology, drainage density, land use/land cover, elevation, lineament density slope from satellite data methods, which play primary factor determining proper zones. study, every map was allocated weights depending its specific characteristics contribution capacity. were determined AHP method, considers comparative significance layer about others. weighting procedure allowed comprehensive assessment factors influencing basin. resulting divided into four classes, good, excellent, moderate, poor. revealed approximately 22.69% basin had excellent potential, 28.96% good 25.32% moderate 22.92% poor potential. These findings suggest significant portion Basin exhibits indicating promising opportunities sustainable utilization region. zone accuracy is 84% based Receiver Operating Characteristic (ROC) method. implications resources provide framework conducting similar other regions. be more important goals helpful levels

Language: Английский

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Integrating in-situ data and spatial decision support systems (SDSS) to identify groundwater potential sites in the Esan Plateau, Nigeria

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 26, P. 101276 - 101276

Published: July 14, 2024

Language: Английский

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Spatio-temporal analysis land use land cover changes in South Kashmir region of North-western Himalayas using Landsat data

Discover Geoscience, Journal Year: 2024, Volume and Issue: 2(1)

Published: July 23, 2024

Abstract This paper presents a comprehensive analysis of the spatial patterns and temporal dynamics land use cover changes in South Kashmir from 2000 to 2022 leveraging remote sensing technologies revealing significant transformations various classes. The study used maximum likelihood classification, supervised classification method, analyze Landsat satellite imagery identify ten major categories. findings demonstrate notable increases in, barren by 18.78 km 2 (0.35%), built-up areas 72.28 (1.33%), forests 274.76 (5.05%), grasslands 68.06 (1.25%), scrubland 307.82 (5.66%). horticulture experienced rise 419.17 (7.70%), Conversely, several classes reported decline, agriculture 757.21 (13.91%), exposed rockmass 258.58 (4.75%), glaciers snow 136.83 (2.51%), water bodies contracted 8.23 (0.15%). primary drivers change region are identified as climate change, population growth, economic factors. Climate has altered precipitation affecting agricultural productivity leading retreat glaciers. Population growth reasons, including policies, have also played role shaping landscape Kashmir. These underscore dynamic nature Kashmir, with implications for regional planning environmental management. underscores cost-effectiveness efficacy geospatial conducting spatiotemporal analyses formulating evidence-based policies sustainable management natural resources.

Language: Английский

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Water indices for surface water extraction using geospatial techniques: a brief review

Sustainable Water Resources Management, Journal Year: 2024, Volume and Issue: 10(2)

Published: March 5, 2024

Language: Английский

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Modelling of Groundwater Potential Zones in Semi-Arid Areas Using Unmanned Aerial Vehicles, Geographic Information Systems, and Multi-Criteria Decision Making

Hydrology, Journal Year: 2025, Volume and Issue: 12(3), P. 58 - 58

Published: March 14, 2025

Nowadays, modelling groundwater potential zones (GWPZs) based on scientific principles and modern techniques is a major challenge for scientists around the world. This even greater in arid semi-arid areas. Unmanned aerial vehicles (UAVs), geographic information systems (GISs), multi-criteria decision making (MCDM) are that have been applied various fields, especially exploration. study attempts to apply workflow GWPZs using UAV technology, GIS, MCDM An survey provided high-resolution DEM of 4 cm. Six influencing factors, including elevation model, drainage density, lineament slope, flood zone, topographic wetness index, were considered delineate GWPZs. Four classes identified, namely high (4.64%), moderate (23.74%), low (18.2%), very (53.42%). Three validation methods, borehole yield data, receiver operating characteristic area under curve (ROC-AUC), principal component analysis (PCA), used gave accuracies 82.14%, 65.4%, 72.49%, respectively. These validations indicate satisfactory accuracy justify effectiveness approach. The mapping areas important availability planning water resources management sustainable development.

Language: Английский

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