Shankar Karuppannan

Scopus Publications

Geospatial multi-criteria analysis for urban green space suitability and expansion planning in nekemte town, Ethiopia
Melion Kasahun, Dechasa Diriba, Getnet Engdaw, Shankar Karuppannan, Girma Shewaye
Discover Sustainability, 2026
Urban green spaces (UGS) play a vital role in enhancing environmental quality, social well-being, and urban resilience. This study assessed UGS suitability and expansion potential in Nekemte Town, Ethiopia, using a GIS-based Multi-Criteria Analysis (MCA) integrated with the Analytical Hierarchy Process (AHP). Eight spatial and environmental factors such as population density, normalized difference vegetation index (NDVI), land use/land cover, proximity to roads, slope, elevation, proximity to rivers, and soil type were weighted using AHP and integrated in a weighted overlay model to generate a suitability map. The results revealed that 28.6% of the study area is highly suitable to suitable for UGS development, mainly located in areas with gentle slopes, favorable vegetation cover, and good accessibility. Moderately suitable areas cover 29.6%, offering opportunities with appropriate management, while 41.8% of the area is poorly suitable or unsuitable due to steep terrain, dense urbanization, and less favorable soil characteristics. Model validation using ROC-AUC analysis achieved an accuracy of 0.859, confirming high predictive reliability and robustness of the GIS-based MCA–AHP framework even in data-limited conditions. The suitability map guides sustainable urban development while enhancing climate resilience through increased vegetation cover, carbon sequestration, heat island reduction, and microclimate improvement in rapidly growing Ethiopian towns.
GIS-based assessment of land degradation vulnerability and environmental indices as ecological indicators in Western Agro-climatic zone of Tamil Nadu, India
S. Kaliraj, R. J. Jerin Joe, V. Stephen Pitchaimani, S. Richard Abishek, Shankar Karuppannan
Scientific Reports, 2026
Land degradation is a critical global issue that affects soil fertility, food production, and biomass, driven by climate change and human activities. This study evaluates land degradation (LD) vulnerability across various land use and land cover (LULC) types in the Western Agroclimatic Zone of Theni district, Tamil Nadu, India. The GIS-based land degradation vulnerability index (LDVI) is calculated to identify site-specific degradation rates by combining four indicators (QI): Soil Quality Index (SQI), Climate Quality Index (CQI), Vegetation Quality Index (VQI), and Land Management Quality Index (MQI), derived from various geo-environmental and climatic variables. The LDVI map classifies the area into four categories: (i) non- affected zones (N), (ii) potential vegetative cover (P) with LDVI < 1. 22, (iii) fragile zones (F 1, F 2, and F 3) with LDVI values from 1. 23 to 1. 1.37, and (iv) critical zones (C 1 and C 2) with LDVI values between 1. 38 and 1. 53. A critical zone (C 3) with LDVI > 1.53. 53 indicates a severe land degradation risk, covering 3.68% of the total area. About 25. Approximately 38% of the region is affected by severe land degradation, primarily on pediplains, barrens, and fallows, resulting from soil erosion, salinity intrusion, nutrient loss, and inadequate land management. Meanwhile, 44. 38% falls within fragile categories, primarily on alluvial plains with red loamy soils. Conversely, 26. 3% of the area is classified as lower risk zones, such as forests, plantations, and irrigated lands, which benefit from soil fertility retention and effective management. The geographic correlation analysis reveals a strong positive relationship with VQI and MQI, with ‘r’ values of 0.835 and 0.831, respectively, indicating a risk to cultivable lands. Significantly, Pearson’s correlation confirms a strong positive relationship between LDVI and SQI and VQI, with coefficient values of 0.99 and 0.84, respectively, indicating that changes in soil properties and vegetation (NDVI) have a direct influence on land degradation across various regions. These findings provide a site-specific land degradation rate and its spatial relationship to quality indicators, emphasizing the importance of land-water-soil management for mitigation. Although the LDVI map reveals a spatial pattern of land degradation at a 30 m x 30 m pixel scale, limited by the resolution and temporal scale of the input datasets, future work could improve the LDVI by incorporating higher-resolution input data and field observations. This research directly supports UN-SDG 2 - Zero Hunger (sustainable agriculture and food security), and SDG 13 - Climate Action (climate resilience and adaptation).
Delineation of palaeochannels using DEM and spectral indices in the Gundar basin of Kadaladi region
M. Seeththa Sankar Narayanan, V. Stephen Pitchaimani, M. Sivakumar, T. Dinesh Kumar, Shankar Karuppannan, R. J. Jerin Joe
Scientific Reports, 2026
The identification and mapping of palaeochannels offer an essential understanding of past fluvial processes and groundwater potential, particularly in arid and semi-arid regions facing severe water stress. This study focuses on the Gundar River Basin within Kadaladi Taluk, Ramanathapuram District, Tamil Nadu, aiming to delineate palaeochannel networks using integrated geospatial techniques. Remotely sensed datasets, including Landsat 9 imagery and ASTER GDEM, were used to generate topographic derivatives such as slope, aspect, curvature, flow accumulation, and Topographic Wetness Index (TWI) along with spectral indices like NDVI, NDWI, and NDMI. False Colour Composites (FCC and SWIR-FCC) were prepared to enhance visual interpretation of buried channel patterns. A fuzzy overlay analysis, using a gamma value (γ = 0.8), synthesized these inputs to classify palaeochannel suitability. Results revealed that nearly 18.3% of the basin, predominantly in the central and southeastern sectors, exhibits high palaeochannel potential. These zones are characterized by gentle slopes (< 3°), concave curvature (<-5), high flow accumulation (> 2000), and TWI values above 15, along with NDVI (0.35-0.50), NDWI (> 0.25), and NDMI (0.30-0.41). These findings align with fluvial orientations from northwest to southeast, consistent with regional drainage patterns that flow towards the Bay of Bengal. Despite the absence of field validation, the results correspond well with previous studies in similar Indian basins. This research provides a robust, non-invasive framework for palaeochannel detection, supporting future groundwater recharge planning and paleohydrological reconstructions in coastal, water-stressed environments, such as Kadaladi Taluk.
Fluoride contamination and its health implications in the groundwater using multivariate and geospatial analysis in Mettur Taluk, Tamil Nadu, India
Gurugnanam Balasubramaniyan, Bagyaraj Murugesan, Bairavi Swaminathan, E. Nandakumar, Pragadeeshwaran Kannan, Shankar Karuppannan, M. Suresh
Discover Environment, 2026
Groundwater is a vital resource for domestic and agricultural use in hard rock terrains such as Mettur Taluk, Tamil Nadu, India. This study evaluates groundwater hydrogeochemistry, fluoride contamination, irrigation suitability, and associated human health risks using multivariate statistics and geospatial techniques. A total of 47 groundwater samples were collected during the post-monsoon season of 2024 and analyzed for major physicochemical parameters. Fluoride concentrations ranged from 0.4 to 3.2 mg/L, with 38% of samples exceeding the World Health Organization (WHO) permissible limit of 1.5 mg/L. Piper and Gibbs diagrams indicate that groundwater chemistry is predominantly controlled by rock–water interaction, with Ca–HCO₃ and mixed Ca–Mg–Cl facies dominating. Correlation analysis reveals that fluoride enrichment is strongly associated with bicarbonate, calcium, sodium, electrical conductivity, and total dissolved solids, suggesting geogenic control through mineral dissolution and ion exchange processes. Irrigation suitability assessment using Wilcox classification, sodium percentage, Kelly’s ratio, magnesium adsorption ratio, and sodium adsorption ratio indicates that approximately 78% of samples are suitable for irrigation, while about 20% fall under questionable to unsuitable categories. Human health risk assessment shows that children are the most vulnerable group, with hazard quotient values exceeding unity in several locations. The study highlights the need for continuous groundwater monitoring and targeted mitigation strategies to ensure safe drinking water and sustainable agricultural practices in fluoride-affected hard rock regions.
Groundwater augmentation through site-specific surface runoff harvesting in the Western Ghats mountainous watershed, India: insights from geospatial techniques
S. Kaliraj, S. Shunmugapriya, V. Stephen Pitchaimani, S. Richard Abishek, R. J. Jerin Joe, Reji Srinivas, Shankar Karuppannan
Discover Sustainability, 2026
Groundwater scarcity in the steep-sloped, hard-rock catchments of the Western Ghats, India, results from rapid runoff that restricts natural recharge. The present study evaluates groundwater augmentation through targeted surface runoff harvesting and identifies suitable sites and structures for artificial recharge in the Mannarkad watershed, Kerala. An integrated geospatial approach combining the NRCS-CN hydrological model and multi-criteria GIS analysis was used to estimate surface runoff and delineate groundwater recharge potential zones. Thematic layers, including lithology, geomorphology, slope, soil, rainfall, land use, drainage, and lineament density, were weighted and integrated to identify twenty priority locations for recharge interventions. Runoff potential ranged from less than 3 mm yr⁻ 1 in the western margins to more than 26 mm yr⁻ 1 in the central regions. Seasonal groundwater fluctuations showed a post-monsoon rise of up to 2.95 m, confirming effective recharge. Model validation indicated high accuracy, and lineament was identified as the most influential parameter for recharge. Farm ponds, percolation tanks, and recharge pits were recommended for gently sloping areas, while check dams, water absorption trenches, and subsurface dykes were suitable for foothill and fracture-dominated zones. The novelty of this study lies in integrating the NRCS-CN model with GIS-based analysis to identify site-specific groundwater recharge structures in steep-sloped hard-rock terrains. The study demonstrates that properly located runoff harvesting structures enhance aquifer storage, minimize water loss, and strengthen resilience to seasonal water scarcity. The approach can support sustainable watershed management and contribute to achieving Sustainable Development Goal 6 (Clean Water and Sanitation).
Groundwater vulnerability and pollution risk assessment in the Achankovil river Basin, Western Ghats, Southern India: integration of GIS-based DRASTIC-LC model, hydrochemical indicators and multivariate statistical analysis
S. Kaliraj, S. Firose, S. Richard Abishek, Reji Srinivas, K. Palanivel, V. Stephen Pitchaimani, Shankar Karuppannan
Environmental Sciences Europe, 2026
The Achankovil River Basin (ARB) is a tropical region of the Western Ghats in Kerala, southern India, facing critical issues with groundwater sources from natural and human-induced activities. This study aims to identify pollution vulnerability to groundwater using a GIS-based DRASTIC-LC model and hydrochemical analysis. Land cover (LC) change (2000 – 2025) was incorporated to evaluate its impacts on groundwater vulnerability. The DRASTIC-LC map indicates a vulnerability index ranging from 74 to 235, classified into five zones such as very low (13%), low (52.2%), moderate (16.6%), high (16.8%), and very high (1.4%). A higher vulnerability rate has been noted in the western coastal and lateritic midlands due to the occurrence of unconfined aquifers with shallow groundwater (< 3 m bgl), characterized by high seepage flow (> 2000 L min⁻ 1 ), formed by coastal sandy alluvium under both natural and human-induced pressures. Wherein the eastern highlands with hard rock formations exhibit a lower vulnerability rate, due to deeper confined aquifers (> 12 m bgl), and lower permeability (< 500 L min⁻ 1 ). In the middle plateaus, the laterite formations were noticed with moderate vulnerability conditions. Model reliability was validated through the strong spatial agreement between high DRASTIC-LC index zones and elevated hydrochemical indicators (EC, TDS, Na⁺, Cl⁻, SO₄ 2 ⁻, and NO₃⁻). Multivariate analyses (PCA and HCA) further confirmed that depth to water table, recharge, vadose zone characteristics, hydraulic conductivity, and land cover are the dominant controls on groundwater vulnerability. Overall, groundwater vulnerability in the ARB is influenced by urban discharge, agricultural residues, sewage and industrial infiltration, LULC change, the expansion of impervious surfaces, and reduced recharge. The consistency between DRASTIC-LC indices, hydrochemical indicators (EC, TDS, Na⁺, Cl⁻, SO₄ 2 ⁻, and NO₃⁻), and multivariate statistical results demonstrates the effectiveness of this approach in identifying aquifers prone to pollution. It supports groundwater protection measures aligned with the United Nations SDGs 6, 13, and 15.
Mechanical properties analysis of geopolymer concrete based on the sugarcane bagasse ash using machine learning
Bheem Pratap, Sanjeev Kumar, Keerat Kumar Gupta, Narala Gangadhara Reddy, Abu Rashid, Perumal Asaithambi, Shankar Karuppannan
Scientific Reports, 2026
Geopolymer concrete (GPC) became the substitute for conventional Portland cement-based concrete in recent years. In this work, fly ash (FA) and sugarcane bagasse ash (SBA) are used to create geopolymer concrete. The percentages of fly ash replacement with SBA at 0%, 10%, 20%, 30%, 40%, and 50%, respectively, are indicated by the designations FS0, FS10, FS20, FS30, FS40, and FS50. Whereas FS0 indicates the traditional mix with no fly ash replacement, FS50 indicates a 50% replacement of fly ash. Compressive strength, flexural strength, and split tensile strength were among the mechanical characteristics that were tested. At 12 M NaOH, the geopolymer concrete FS30 had compressive strengths of 46.88 MPa after 28 days. This effect is consistent with fly ash’s geopolymerization reaction, which helps to generate more binding phases and produces denser and stronger concrete. Random forest (RF) algorithm demonstrated the most robust performance, achieving strong testing R² values of 0.8368, 0.7861, and 0.8199 for compressive, flexural, and split tensile strength, respectively. In contrast, the XGBoost model was, evidenced by its near-perfect training R² scores of approximately 0.9999, which plummeted to significantly lower testing R² values of 0.7378, 0.7136, and 0.7140 for the three strength properties. Similarly, the ANN also showed with high training R² values around 0.94, but a poor ability to generalize, resulting in considerably lower testing R² values of 0.4836, 0.5199, and 0.5424.
Mapping malaria vulnerability hotspots using multi-criteria decision analysis, GIS, and remote sensing: a case study in Abaya Woreda, West Guji Zone, Ethiopia
Dechasa Diriba, Degu Demise, Birhanu Kenate, Dabesa Gobena, Melese Lemi, Natinael Teferi, Shankar Karuppannan, Gemechu Churiso
International Journal of Health Geographics, 2026
INTRODUCTION: Malaria is one of the world's most serious public health problems and remains a leading health burden in developing countries such as Ethiopia. Large parts of the country, especially lowland areas such as Abaya Woreda, are affected by this disease. The study area is highly endemic for malaria; therefore, identifying vulnerability hotspots and implementing targeted interventions are important for reducing disease burden and saving lives. The present study aims to identify malaria vulnerability hotspot areas in Abaya Woreda, West Guji, Ethiopia, using a comprehensive geospatial approach including GIS and remote sensing techniques. METHODS: To generate a malaria vulnerability map, ten key factors representing climatic, topographic, environmental, and demographic determinants were derived from multi-source datasets, including Landsat 8, SRTM Digital Elevation Model (DEM), GPS field surveys, and CHIRPS precipitation data. The relative weights of these factors were determined using the Analytic Hierarchy Process (AHP) before being integrated via weighted overlay analysis in ArcGIS 10.8. RESULTS: The results revealed that 38.3% of the study area is highly vulnerable to malaria. These areas are closely associated with lower elevations, wetlands, water bodies, greater distances from health facilities, and high population density. Furthermore, 49.1% of the area was identified as moderately vulnerable, while only 12.6% exhibited low vulnerability. CONCLUSION: The findings of this study provide critical, data-driven insights to support stakeholders and policymakers in designing, prioritizing, and implementing targeted, evidence-based malaria control and prevention strategies in Abaya Woreda, thereby significantly enhancing the efficiency and impact of public health interventions.
Improved prediction of groundwater potential zones using a stacking machine learning model
Dechasa Diriba, Nafyad Serre Kawo, Shankar Karuppannan, Degu Demise, Melion Kasahun, Ebassa Dugasa Leta, Getnet Assefa, Negedie Abrha Gebreslassie, Tesfaye Lemma
Discover Sustainability, 2026
Sustainable groundwater management in regions with limited data remains a significant challenge. Identifying potential groundwater zones by combining geological and hydrological information is crucial for the effective use and protection of this resource. In the Southwest Shewa Zone of Ethiopia, groundwater is the main source for household, agricultural, and industrial needs. However, limited hydrogeological data often leads to drilling ineffective wells, emphasizing the need for precise, data-driven mapping methods. This study uses a stacked ensemble machine learning approach to identify groundwater potential zones. The framework combines Adaptive Boosting, Random Forest, Histogram-Based Gradient Boosting, and Extreme Gradient Boosting using a meta-learner to improve prediction accuracy and minimize bias. The area was classified into five groundwater potential levels: very low, low, moderate, high, and very high. Results indicate that 55.8% of the area falls within high to very high groundwater potential zones, while 29.8% corresponds to very low to low potential. Model evaluation using recall, precision, F1-score, and Receiver Operating Characteristic (ROC) demonstrates strong predictive capability and reliable class discrimination across all groundwater potential zones.These findings demonstrate the strong predictive performance of the stacked ensemble learning model and provide a scientific basis for identifying groundwater prospecting zones and guiding well siting in the study area.
Green space suitability assessment for sustainable urban development using geospatial technology in Eka Tafo, Ethiopia
Dechasa Diriba, Ebassa Dugasa Leta, Degu Demise, Melion Kasahun, Shankar Karuppannan, Negedie Abrha Gebreslassie, Tesfaye Lemma, Mesay Mengistu Feyisa
Scientific Reports, 2026
Urban green spaces offer several economic, social, and health benefits to residents. This study was conducted to identify the appropriate locations of green spaces in the Eka Tafo Sub-City using geospatial technologies, namely Geographic Information System (GIS) and Remote Sensing (RS). Eight parameters were evaluated: slope, normalized difference vegetation index (NDVI), proximity to rivers, elevation, land use, soil type, proximity to highways, and population density. The Analytical Hierarchy Process (AHP) was used to assign weights to each factor. The green space suitability map was generated by integrating all the thematic layers in ArcGIS. The green space map identifies five suitability zones: highly suitable, suitable, moderately suitable, poorly suitable, and unsuitable. The findings showed that approximately 30.7% of the study area was classified as suitable to highly suitable for green space, whereas 40.7% was considered unsuitable to poorly suitable. These results enable policymakers to determine the open green spaces that enhance the environmental quality of urban areas and the living standards of residents.
An explainable GeoAI framework for spatial assessment of wildfire susceptibility in the Upper Ravi sub-basin, Indian Himalaya
Suheb, Md Nawazuzzoha, Md Shahid Ali, Md. Mamoon Rashid, Darakhsha Fatma Naqvi, Honey Qaisar, Pierre Sicard, Shankar Karuppannan, Hasan Raja Naqvi
Scientific Reports, 2026
Scenario modeling of urban expansion and its impact on farmland using artificial neural networks: A case study of Chiro Town, Oromia, Ethiopia
Melion Kasahun, Dechasa Diriba, Shankar Karuppannan
Social Sciences and Humanities Open, 2026
Microbial bioremediation of copper-contaminated soil and recovery of engineering properties for sustainable reuse
V. Ramya Krishna, Hanuma Kasagani, Vinay Kumar Gaddam, B.Murali Krishna, Ravi Teja Prathipati, Shankar Karuppannan
Next Sustainability, 2026
Geospatial analysis of land suitability for Teff (Eragrostis tef) cultivation in the Debena watershed, Western Ethiopia
Mitiku Badasa Moisa, Mengistu Muleta Gurmessa, Shankar Karuppannan, Indale Niguse Dejene, Zenebe Reta Roba, Kiros Tsegay Deribew, Fedhasa Benti Chalchissa, Dawit Samuel Teshome, Dessalegn Obsi Gemeda, Nazih Y. Rebouh
Geojournal, 2026
Assessing groundwater and climate susceptibility in Masgeredo-Bulal catchment, Ethiopia
Amenti Merga Tafesa, Tenalem Ayenew, Shankar Karuppannan
Scientific African, 2026
Retraction notice to:"Delineation of groundwater potential zonation using geoinformatics and AHP techniques with remote sensing data"(Heliyon, (2024), 10, 3, (e25532), (S2405844024015639), 10.1016/j.heliyon.2024.e25532)
Dechasa Diriba, Shankar Karuppannan, Tariku Takele, Musa Husein
Heliyon, 2026
Experimental and Numerical Investigation of Flexural Behaviour of Reinforced Concrete T-Beams Using Digital Image Correlation
Vandanapu Ramya Krishna, Hanuma Kasagani, Vinay Kumar Gaddam, Ravi Teja Prathipati, B. Murali Krishna, Shankar Karuppannan
Advances in Civil Engineering, 2026
Hydrogeochemical variability and health risk assessment of heavy metals in groundwater of Srivaikundam region, Southern India
S. Richard Abishek, V. Stephen Pitchaimani, S. Kaliraj, R. Sakthi Priya, A. Antony Ravindran, A. Antony Alosanai Promilton, Shankar Karuppannan
Environmental Geochemistry and Health, 2026
Groundwater potential zone mapping using GIS and RS techniques in Elwaye District, Borena zone, Southern Ethiopia
Jisan Kebede, Shankar Karuppannan, Dechasa Diriba
Discover Sustainability, 2025
Identification and mapping of Urban flood susceptibility in Lega Tafo using GIS-based multi-criteria decision making and remote sensing
Ebassa Dugasa Leta, Dechasa Diriba, Shankar Karuppannan
Discover Sustainability, 2025
Flood hazard and risk assessment using GIS and remote sensing in the case of Ziway Lake watershed, central Main Ethiopian Rift
Musa Husein, Tariku Takele, Dechasa Diriba, Shankar Karuppannan
Environmental and Sustainability Indicators, 2025
Deciphering of groundwater potential zones in hard rock terrain using GIS technology with AHP statistical methods: A case study of Nilgiri, Tamil Nadu, India
Bagyaraj Murugesan, Gurugnanam Balasumbramaniyan, Bairavi Swaminathan, Shankar Karuppannan
Scientific Reports, 2025
Study of seasonal variation in groundwater geochemistry for beneficial use of drinking and irrigation in Aundha Nagnath tehsil of Maharashtra, India
Vaishnavi Raut, Vasant Wagh, Kartik Tadse, Shankar Karuppannan
Discover Sustainability, 2025
Flood vulnerability and risk mapping in Arba minch city using remote sensing, GIS and AHP
Melion Kasahun, Dechasa Diriba, Tesfaye Lemma, Shankar Karuppannan, Niguse Kanko
Scientific African, 2025
Comprehensive hydrogeochemical characterization and seasonal water quality index analysis for sustainable groundwater management in Valliyur region, Southern Tamil Nadu, India
A. Antony Alosanai Promilton, A. Antony Ravindran, V. Stephen Pitchaimani, J. Vinoth Kingston, Shankar Karuppannan
Scientific Reports, 2025
Spatial modelling of groundwater potential zones in the Neyyar Basin using machine learning and morphometric analysis
R. J. Jerin Joe, V. Stephen Pitchaimani, S. Kaliraj, S. Richard Abishek, A. Antony Alosanai Promilton, Shankar Karuppannan
Scientific Reports, 2025
Groundwater quality beyond potability: decoding the hydrogeochemical signatures using spatial and statistical methods in regions of Dindigul District, Tamil Nadu
Pragadeeshwaran Kannan, Gurugnanam Balasubramaniyan, Shankar Karuppannan, Bairavi Swaminathan, S. Chrisben Sam, Bagyaraj Murugesan
Discover Sustainability, 2025
Spatial assessment of heavy metal contamination in groundwater in the Kadaladi region, Tamil Nadu, India
M. Seeththa Sankar Narayanan, V. Stephen Pitchaimani, M. Sivakumar, T. Dinesh Kumar, S. Richard Abishek, Shankar Karuppannan
Scientific Reports, 2025
Spatial variation and hydrogeochemical characterization of groundwater in Vallanadu region: insights from water quality index and statistical analysis
D. Manimaran, S. Richard Abishek, V. Stephen Pitchaimani, A. Antony Ravindran, M. Soniyamary, Shankar Karuppannan
Discover Sustainability, 2025
AHP and Geospatial technology-based assessment of groundwater potential zones in Natham taluk, Tamil nadu, India
Gurugnanam Balasubramaniyan, Dheiva Arul Ganesan, Bagyaraj Murugesan, Bairavi Swaminathan, Shankar Karuppannan, Karunanidhi Duraisamy
Scientific Reports, 2025
Unlocking groundwater potential in the yirgacheffe catchment, main ethiopian rift region: A comprehensive analytic hierarchy process and geophysical approach
Tariku Takele, Tariku Degife, Dechasa Diriba, Musa Husein, Pedro Antonio Ortega Galvan, Shankar Karuppannan, Muralitharan Jothimani, Getnet Assefa, Demise Tadessa, Mekonnen Beyene Geleta, Ebassa Dugasa
Scientific African, 2025
Using google earth engine to detect the land use changes, climate change and vegetation dynamics
Muhammad Zaib Arshad, Sajjad Hussain, Saeed Ahmad Qaisrani, Zafar Iqbal, Muhammad Saeed, Muhammad Mubeen, Hafiz Muhammad Rashad Javeed, Muhammad Tahir, Diaa F. Hassan, Ali Raza, Raoof Mostafazadeh, Shankar Karuppannan
Geoscience Letters, 2025
Predictive groundwater quality responses to land cover and lithology in the upper Awash River basin (Ethiopia) with stacking ensembles
Bewuket B. Tefera, Jane Southworth, Joann Mossa, Mashoukur Rahaman, Mohammad Safaei, Di Yang, Shankar Karuppannan
Journal of Environmental Management, 2025
Unlocking the hidden depth: mapping groundwater potential in Melka Soda district, Genale–Dawa Basin, Ethiopia
Dechasa Diriba, Abiyot Legesse Kura, Asnake Yimam, Shankar Karuppannan
Applied Water Science, 2025
Integrating Remote Sensing and Geospatial-Based Comprehensive Multi-Criteria Decision Analysis Approach for Sustainable Coastal Solar Site Selection in Southern India
Constan Antony Zacharias Grace, John Prince Soundranayagam, Antony Johnson Antony Alosanai Promilton, Shankar Karuppannan, Wafa Saleh Alkhuraiji, Viswasam Stephen Pitchaimani, Faten Nahas, Yousef M. Youssef
ISPRS International Journal of Geo Information, 2025
Shoreline dynamics and anthropogenic influences on coastal erosion: A multi-temporal analysis for sustainable shoreline management along a southwest coastal district of India
R.J. Jerin Joe, V. Stephen Pitchaimani, T. V. Nithya Sree Mirra, Shankar Karuppannan
Environmental and Sustainability Indicators, 2025
Landslide susceptibility mapping using geospatial technology in the case of the Gidabo watershed, Main Ethiopian Rift
Ebassa Dugasa Leta, Dechasa Diriba, Negede Abrha, Shankar Karuppannan
Scientific African, 2025
Evaluation of soil erosion and sediment yield in tropical river basin of the Western Ghats, South India
S. Kaliraj, C. Kavarni, A. Muthamilselvan, Sudeshna Gayen, S. Richard Abishek, V. Stephen Pitchaimani, Shankar Karuppannan
Environmental and Sustainability Indicators, 2025
Analyzing temporal changes in urban land use and climate dynamics through Google Earth Engine
Muhammad Zaib Arshad, Sajjad Hussain, Zafar Iqbal, Saeed Ahmad Qaisrani, Muhammad Mubeen, Muhammad Tahir, Shankar Karuppannan
Journal of Earth System Science, 2025
Assessment of water pollution in the phreatic zone of quaternary age using PHREEQC and geospatial approach in semi-arid region, Northern India
Salman Ahmed, Shahwaz Khan, Ataur Rehman, Shahjad Ali, Shankar Karuppannan, Mohammad M. A. Khan
Geosciences Journal, 2025
Geospatial mapping of groundwater potential zones using multi-criteria decision analysis and GIS fuzzy logic in Dabus Sub-Basin, western Ethiopia
Dawit Girma Burayu, Shankar Karuppannan, Gemechu Shuniye
Quaternary Science Advances, 2025
Geospatial technology-based identification of groundwater potential zone in the Upper Dawa River Basin, Southern Ethiopia
Debisa Debela, Fikadu Woldemariyam Wodessa, Shankar Karuppannan, Dechasa Diriba
Scientific African, 2025
Demarcating paleoflood repositories using documentary evidence and flood geomorphic landforms
Somasundharam Magalingam, Selvakumar Radhakrishnan, Shankar Karuppannan, Edris Alam, Md Kamrul Islam
Quaternary Science Advances, 2025
Landslide susceptibility modeling in West Shoa Zone, Central Ethiopia: An integrated geospatial and statistical analysis
Migartu Abdissa Tukku, Shankar Karuppannan, Matebie Meten, Tola Garo, Ashu Fekadu
Scientific African, 2025
Retraction notice to “Societal knowledge, attitude, and practices towards dengue and associated factors in epidemic-hit areas: Geoinformation assisted empirical evidence” [Heliyon 10 (2024) e23151] (Heliyon (2024) 10(1), (S2405844023103598), (10.1016/j.heliyon.2023.e23151))
Syed Ali Asad Naqvi, Muhammad Sajjad, Aqil Tariq, Muhammad Sajjad, Liaqat Ali Waseem, Shankar Karuppannan, Adnanul Rehman, Mujtaba Hassan, Saad Al-Ahmadi, Wesam Atef Hatamleh
Heliyon, 2025
Engineering geological evaluation of Bowa Dayole dam site, North Shewa Zone, Oromia, Ethiopia
Ashu Fekadu, Yadeta C. Chemeda, Shankar Karuppannan, Endalu Tadele Chala
Heliyon, 2025
Groundwater Quality and Appropriateness for Drinking and Agriculture Purposes Using Water Quality Indices and Multivariate Statistical Analysis in Kombolcha City, Ethiopia
Nurye Mohammed, Kidest Tadesse, Tamru Tesseme Aragaw, Shankar Karuppannan
Geofluids, 2025
Remote Sensing for Agricultural Water Management
Sajjad Hussain, Alishba Sajjad, Muhammad Mubeen, Shankar Karuppannan
Innovations in Agricultural Water Management Risks and Solutions, 2025
Assessing Drainage Characteristics Through Morphometric Evaluation in the Upper Wabe Shebelle Basin, Ethiopia: Implications for Water Resource Management
Pradeep Kamaraj, Muhammed Haji, Shankar Karuppannan, Hassen Shube
Advances in Geographic Information Science, 2025
Application of Monod Equation and First-Order Rate Kinetics for the Calculation of Crude Oil Concentration Along Depths of Stagnant Freshwater and Saltwater Media
Ozioko Fabian Chidiebere, Okolotu Godspower Ikechukwu, Wisdom Chukwuemeke Ulakpa, Shankar Karuppannan
International Journal of Chemical Engineering, 2025
Slope Stability Analysis of Dilbi Open-Pit Coal Mining Site Using Limit Equilibrium and Finite Element Methods, Jimma Zone, Southwestern Ethiopia
Usman Zakir, Tola Garo, Yadeta C. Chemeda, Shankar Karuppannan, Sishaw Merdassa
Advances in Civil Engineering, 2025
Data-Driven Insights into Factors Controlling Groundwater Potential Using Explainable and Ensemble Machine Learning Models
Melion Kasahun, Dechasa Diriba, Nafyad Serre Kawo, Shankar Karuppannan, Hailay Zeray Tedla
Earth Systems and Environment, 2025
Mapping Soil Erosion Vulnerability in the Upper Blue Nile River Basin, Ethiopia: Integrating Drainage Morphometrics and Geospatial Analysis
Muralitharan Jothimani, Prafulla Kumar Panda, Shankar Karuppannan, Leulalem Shano, Ephrem Getahun, Zerihun Dawit
Advances in Geographic Information Science, 2025
Evaluating Groundwater Potential in Wabe River Catchment, Southern Ethiopia: An Integrated Geospatial and MCDM Approach
Muralitharan Jothimani, Gideon Tadesse, Shankar Karuppannan, Leulalem Shano, Ephrem Getahun, Zerihun Dawit
Springer Water, 2025
Assessing the impact of land use land cover changes on soil moisture and vegetation cover in Southern Punjab, Pakistan using multi-temporal satellite data
Sajjad Hussain, Muhammad Mubeen, Wajid Nasim, Shankar Karuppannan, Ashfaq Ahmad, Muhammad Amjad, Shah Fahad, Aqil Tariq, Waseem Akram
Geology Ecology and Landscapes, 2025
Spatial analysis and mapping of malaria risk areas using geospatial technology in the case of Nekemte City, western Ethiopia
Dechasa Diriba, Shankar Karuppannan, Teferi Regasa, Melion Kasahun
International Journal of Health Geographics, 2024
Engineering geological investigation of Gololcha dam for evaluation of leakage and abutment slope stability, Eastern Ethiopia
Sishaw Merdassa, Tola Garo, Yadeta C. Chemeda, Shankar Karuppannan, Mahlet Tesfaye
Scientific African, 2024
Assessment of crop suitability analysis using AHP-TOPSIS and geospatial techniques: A case study of Krishnagiri District, India
Subbarayan Sathiyamurthi, Murugan Sivasakthi, Subbarayan Saravanan, Rengasamy Gobi, Sivakumar Praveen kumar, Shankar Karuppannan
Environmental and Sustainability Indicators, 2024
Groundwater potential zone mapping using AHP and geospatial techniques in the upper Narmada basin, central India
Digvesh Kumar Patel, Tarun Kumar Thakur, Anita Thakur, Shankar Karuppannan, Singam L. Swamy, Ramesh Raj Pant
Discover Sustainability, 2024
Agricultural land suitability of Manimutha Nadhi watershed using AHP and GIS techniques
S. Sathiyamurthi, S. Saravanan, Shankar Karuppannan, R. Balakumbahan, M. Sivasakthi, S. Praveen Kumar, M. Ramya, Sajjad Hussain, Aqil Tariq
Discover Sustainability, 2024
Identification of groundwater potential zones for sustainable groundwater resource management using an integrated approach in Sirkole watershed, Western Ethiopia
Wakgari Yadeta, Shankar Karuppannan, Dechasa Diriba, Hassen Shube
Groundwater for Sustainable Development, 2024
Appraising groundwater quality and probabilistic human health risks from fluoride-enriched groundwater using the pollution index of groundwater (PIG) and GIS: a case study of adama town and its vicinities in the central main Ethiopian rift valley
Hassen Shube, Shankar Karuppannan, Muhammed Haji, Balamurugan Paneerselvam, Nafyad Kawo, Abraham Mechal, Ashu Fekadu
Rsc Advances, 2024
An integrated approach to identify flood hazard and risk areas in Melka Soda district, Southern Ethiopia
Dechasa Diriba, Shankar Karuppannan
Quaternary Science Advances, 2024
Slope stability modeling using limit equilibrium and finite element methods: A case study of the Adama City, Northern Main Ethiopian Rift
Tola Garo, Mahlet Tesfaye, Shankar Karuppannan
Quaternary Science Advances, 2024
Evaluation of watertightness and slope stability analysis of Upper Guder dam, West Showa, Central Ethiopia
Belay Birhanu, Yadeta C. Chemeda, Tola Garo, Shankar Karuppannan
Quaternary Science Advances, 2024
Dataset of geophysical electrical resistivity and subsurface profiling for natural resources exploration in a hard rock terrain of Tamil Nadu, India
Pradeep Kamaraj, Shankar Karuppannan
Data in Brief, 2024
Groundwater recharge estimation in the Ziway Lake Watershed, Ethiopian Rift: an approach using SWAT and CMB techniques
Abraham Mechal, Shankar Karuppannan, Adula Bayisa
Sustainable Water Resources Management, 2024
Multi-proxy (CFCs, Cl, δ18O and δD) assessment of the origin, residence time and recharge of groundwater in the Bilate River Basin (BRB) of Southern Main Ethiopian Rift (SMER)
Muhammed Haji, Dajun Qin, Shankar Karuppannan, Hassen Shube, Yi Guo
Environmental Earth Sciences, 2024
Nitrate and fluoride contamination in the groundwater in a tribal region of north Maharashtra, India: An account of health risks and anthropogenic influence
Sanjay Patil, Bhavesh Patil, Ajaykumar Kadam, Vasant Wagh, Anupama Patil, Abhay Pimparkar, Shankar karuppannan, Uday Sahu
Groundwater for Sustainable Development, 2024
Empowered machine learning algorithm to identify sustainable groundwater potential zone map in Jashore District, Bangladesh
Sujit Kumar Roy, Md. Mahmudul Hasan, Ismail Mondal, Javed Akhter, Sonzet Kumar Roy, Swapan Talukder, A.K.M. Saiful Islam, Atiqur Rahman, Shankar Karuppannan
Groundwater for Sustainable Development, 2024
Modeling and optimization of transesterification of Jatropha oil to fatty acid methyl ester: application of response surface methodology (CCD) and Taguchi orthogonal method
Cyrus Aseibichin, Wisdom Chukwuemeke Ulakpa, Ikoko Omenogor, Emmanuel Doyah, Ayodeji Arnold Olaseinde, Oghenekome Cyril Anakpoha, Mabel Keke, Shankar Karuppannan
Rsc Advances, 2024
A statistical-based geospatial approach to prioritize the watersheds for soil erosion conservation in the Upper Awash Basin (Upstream Koka), Ethiopia
Pradeep Kamaraj, Immanuvel David Thangapandian, Shankar Karuppannan, Tola Garo
Kuwait Journal of Science, 2024
Delineation of groundwater potential zonation using geoinformatics and AHP techniques with remote sensing data
Dechasa Diriba, Shankar Karuppannan, Tariku Takele, Musa Husein
Heliyon, 2024
Enhancing groundwater vulnerability assessment: Comparative study of three machine learning models and five classification schemes for Cuddalore district
Saravanan Subbarayan, Saranya Thiyagarajan, Shankar Karuppannan, Balamurugan Panneerselvam
Environmental Research, 2024
Societal knowledge, attitude, and practices towards dengue and associated factors in epidemic-hit areas: Geoinformation assisted empirical evidence
Syed Ali Asad Naqvi, Muhammad Sajjad, Aqil Tariq, Muhammad Sajjad, Liaqat Ali Waseem, Shankar Karuppannan, Adnanul Rehman, Mujtaba Hassan, Saad Al-Ahmadi, Wesam Atef Hatamleh
Heliyon, 2024
Identification of vulnerable areas using geospatial technologies in the lower Manair River basin of Telangana, Southern India
Sravya Sai Guddeti, Rama Mohan Kurakalva, Shankar Karuppannan
Geomatics Natural Hazards and Risk, 2024
Editorial: Geophysical, climatological and anthropogenic hazards and disaster: vulnerability, risk assessment, and sustainability
Uday Chatterjee, Suresh Kumar, Shankar Karuppannan, Sandipan Das
Frontiers in Environmental Science, 2024
Flood hazard analysis and risk assessment using remote sensing, GIS, and AHP techniques: a case study of the Gidabo Watershed, main Ethiopian Rift, Ethiopia
Dechasa Diriba, Tariku Takele, Shankar Karuppannan, Musa Husein
Geomatics Natural Hazards and Risk, 2024
Analysis of air quality parameters on climate change phenomenon using Markov autoregressive model
S. VijayaShanthy, E. B. Priyanka, V. Sampathkumar, S. Manoj, S. Vivek, Shankar Karuppannan, K. Kathiresan
Cogent Engineering, 2024
Comparative Analysis of Multiple Hydrological Models in Assessing Climate Change Impacts on the Mille Watershed, Awash Basin, Ethiopia
Asmare Belay Nigussie, Mihiretie Ayana, Dessalegn Worku Ayalew, Gerawork Feleke, Asnake Enawgaw Amognehegn, Anteneh Yayeh Adamu, Andualem Endalew, Tewodrose Desale Meselaw, Shankar Karuppannan
Applied and Environmental Soil Science, 2024
Modelling malaria vulnerability hotspot by using geospatial techniques: the case of Kindo Koysha Woreda, Wolaita Zone, Ethiopia
Abel Daniel Banti, Hizkel Asfaw Worku, Shankar Karuppannan, Pradeep Kamaraj, Sajjad Hussain, Ayed Taran, Mohammed J. Alshayeb, Hoang Thi Hang, Hussein Almohamad, Hazem Ghassan Abdo
Geocarto International, 2024
Groundwater potential zone mapping using GIS and Remote Sensing based models for sustainable groundwater management
Abdur Rehman, Fakhrul Islam, Aqil Tariq, Ijaz Ul Islam, Davis Brian J, Tehmina Bibi, Waqar Ahmad, Liaqat Ali Waseem, Shankar Karuppannan, Saad Al-Ahmadi
Geocarto International, 2024
Agricultural land suitability analysis of Southern Punjab, Pakistan using analytical hierarchy process (AHP) and multi-criteria decision analysis (MCDA) techniques
Sajjad Hussain, Wajid Nasim, Muhammad Mubeen, Shah Fahad, Aqil Tariq, Shankar Karuppannan, Saeed Alqadhi, Javed Mallick, Hussein Almohamad, Hazem Ghassan Abdo
Cogent Food and Agriculture, 2024
Using Sentinel-2 data to estimate the concentration of heavy metals caused by industrial activities in Ust-Kamenogorsk, Northeastern Kazakhstan
Shilan Felegari, Alireza Sharifi, Mohammad Khosravi, Sergei Sabanov, Aqil Tariq, Shankar Karuppannan
Heliyon, 2023
Estimating Groundwater Flow Velocity in Shallow Volcanic Aquifers of the Ethiopian Highlands Using a Geospatial Technique
Hassen Shube, Seifu Kebede, Tilahun Azagegn, Dessie Nedaw, Muhammed Haji, Shankar Karuppannan
Sustainability Switzerland, 2023
Identifying flood vulnerable and risk areas using the integration of analytical hierarchy process (AHP), GIS, and remote sensing: A case study of southern Oromia region
Dawit Girma Burayu, Shankar Karuppannan, Gemachu Shuniye
Urban Climate, 2023
Hydrochemistry and quality appraisal of groundwater in Birr River Catchment, Central Blue Nile River Basin, using multivariate techniques and water quality indices
Ahunm Fentahun, Abraham Mechal, Shankar Karuppannan
Environmental Monitoring and Assessment, 2023
Sub-basins prioritization based on morphometric analysis and geographic information systems: a case study of the Barada river basin, Damascus countryside governorate, Syria
Hazem Ghassan Abdo, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Shankar Karuppannan
Proceedings of the Indian National Science Academy, 2023
Coastal groundwater dynamics, environmental issues and sustainability: A synthesis
D. Karunanidhi, T. Subramani, K. Srinivasamoorthy, K. Shankar, Qingchun Yang, H. Chandra Jayasena
Marine Pollution Bulletin, 2023
An integrated approach to explore the suitability of nitrate-contaminated groundwater for drinking purposes in a semiarid region of India
Balamurugan Panneerselvam, Kirubakaran Muniraj, Karunanidhi Duraisamy, Chaitanya Pande, Shankar Karuppannan, Maciej Thomas
Environmental Geochemistry and Health, 2023
Comparative analysis of hydrochemical variables of two Ramsar-listed lakes in Pokhara Valley, Nepal
R. R. Pant, K. Bishwakarma, K. B. Pal, L. B. Thapa, R. G. Shrestha, S. Karuppannan, L. Garu, S. Bista, V. B. Singh
International Journal of Energy and Water Resources, 2023
Quality and Health Risk Assessment of Groundwater for Drinking and Irrigation Purpose in Semi-Arid Region of India Using Entropy Water Quality and Statistical Techniques
Balamurugan Panneerselvam, Nagavinothini Ravichandran, Shunmuga Priya Kaliyappan, Shankar Karuppannan, Butsawan Bidorn
Water Switzerland, 2023
Land use/land cover changes and their impact on land surface temperature using remote sensing technique in district Khanewal, Punjab Pakistan
Sajjad Hussain, Shankar Karuppannan
Geology Ecology and Landscapes, 2023
Hydrochemical Characterization and Water Quality Assessment for Drinking and Irrigation Purposes Using WQI and GIS Techniques in the Upper Omo River Basin, Southern Ethiopia
Adimasu Tesema, Muralitharan Jothimani, Abel Abebe, Jagadeshan Gunalan, Ephrem Getahun, Shankar Karuppannan
Journal of Chemistry, 2023
Appraisal of groundwater chemistry, its suitability for crop productivity in Sonipat district and human health risk evaluation
Saurabh Shukla, Ramsha Khan, Sanjeev Kumar Varshney, Rajiv Ganguly, Vahab Amiri, Chaudhery Mustansar Hussain, Sekar Selvam, Venkatramanan Senapathi, Balasubramani Ravindran, Shankar Karuppannan, Prosun Bhattacharya, Mohan Lal Dotaniya
Human and Ecological Risk Assessment, 2023
Geoheritage in Ladakh Himalaya: the Indus Suture Zone Ophiolites, Southeast of Ladakh, India
Ranjit Nayak, Shankar Karuppannan
Geoheritage, 2022
Spatio-temporal variation of groundwater hydrochemistry and suitability for drinking and irrigation in Arba Minch Town, Ethiopia: An integrated approach using water quality index, multivariate statistics, and GIS
Nimcan Abdi Mohamed, Akiber Chufo Wachemo, Shankar Karuppannan, Karunanidhi Duraisamy
Urban Climate, 2022
Geochemical evaluation and human health risk assessment of nitrate-contaminated groundwater in an industrial area of South India
Balamurugan Panneerselvam, Kirubakaran Muniraj, Chaitanya Pande, Nagavinothini Ravichandran, Maciej Thomas, Shankar Karuppannan
Environmental Science and Pollution Research, 2022
Assessment of heavy metal accumulation and health risks in okra (Abelmoschus Esculentus L.) and spinach (Spinacia Oleracea L.) fertigated with wastwater
Mian Abdul Khaliq, Muhammad Tariq Javed, Sajjad Hussain, Muhammad Imran, Muhammad Mubeen, Wajid Nasim, Shah Fahad, Shankar Karuppannan, Wafa’a A. Al-Taisan, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Motrih Al-Mutiry, Mona Alrasheedi, Hazem Ghassan Abdo
International Journal of Food Contamination, 2022
Detecting and mapping flood inundation areas in Fogera-Dera Floodplain, Ethiopia during an extreme wet season using Sentinel-1 data
Tewabe Melkamu, Murugesan Bagyaraj, Melkamu Adimaw, Ashenafi Ngusie, Shankar Karuppannan
Physics and Chemistry of the Earth, 2022
SARS-CoV-2 phase I transmission and mutability linked to the interplay of climatic variables: a global observation on the pandemic spread
Chidambaram Sabarathinam, Prasanna Mohan Viswanathan, Venkatramanan Senapathi, Shankar Karuppannan, Dhanu Radha Samayamanthula, Gnanachandrasamy Gopalakrishnan, Ramanathan Alagappan, Prosun Bhattacharya
Environmental Science and Pollution Research, 2022
Multivariate Urban Air Quality Assessment of Indoor and Outdoor Environments at Chennai Metropolis in South India
Manikanda Bharath Karuppasamy, Usha Natesan, Shankar Karuppannan, Lakshmi Narasimhan Chandrasekaran, Sajjad Hussain, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Motrih Al-Mutiry, Ibrahim Alkayyadi, Hazem Ghassan Abdo
Atmosphere, 2022
Assessment of groundwater prospective zone in Adigrat Town and its surrounding area using geospatial technology
Muthukumarasamy Ranganathan, Shankar Karuppannan, Bagyaraj Murugasen, Grmay Kassa Brhane, Balamurugan Panneerselvam
Climate Change Impact on Groundwater Resources Human Health Risk Assessment in Arid and Semi Arid Regions, 2022
Evaluation of groundwater quality and its suitability for drinking and cultivation practices in and around around the deltaic regions of South India using DWQI, IWQI, and GIS
Shankar Karuppannan, Balamurugan Panneerselvam, Muhammed Haji, Bagyaraj Murugesan, Hassen Shube, Nafyad Serre Kawo
Climate Change Impact on Groundwater Resources Human Health Risk Assessment in Arid and Semi Arid Regions, 2022
Evaluation of Vulnerability Status of the Infection Risk to COVID-19 Using Geographic Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA): A Case Study of Addis Ababa City, Ethiopia
Hizkel Asfaw, Shankar Karuppannan, Tilahun Erduno, Hussein Almohamad, Ahmed Abdullah Al Dughairi, Motrih Al-Mutiry, Hazem Ghassan Abdo
International Journal of Environmental Research and Public Health, 2022
Land use and land cover (LULC) change analysis using TM, ETM+ and OLI Landsat images in district of Okara, Punjab, Pakistan
Sajjad Hussain, Muhammad Mubeen, Shankar Karuppannan
Physics and Chemistry of the Earth, 2022
Determination of vulnerable regions of SARS-CoV-2 in Malaysia using meteorology and air quality data
Prasanna Mohan Viswanathan, Chidambaram Sabarathinam, Shankar Karuppannan, Gnanachandrasamy Gopalakrishnan
Environment Development and Sustainability, 2022
Spatiotemporal Variation in Land Use Land Cover in the Response to Local Climate Change Using Multispectral Remote Sensing Data
Sajjad Hussain, Linlin Lu, Muhammad Mubeen, Wajid Nasim, Shankar Karuppannan, Shah Fahad, Aqil Tariq, B. G. Mousa, Faisal Mumtaz, Muhammad Aslam
Land, 2022
Isotopic signatures, hydrochemical and multivariate statistical analysis of seawater intrusion in the coastal aquifers of Chennai and Tiruvallur District, Tamil Nadu, India
Muthusamy Balasubramanian, Sithu Govindasamy Dinakaran Sridhar, Ramamoorthy Ayyamperumal, Shankar Karuppannan, Gnanachandrasamy Gopalakrishnan, Monica Chakraborty, Xiaozhong Huang
Marine Pollution Bulletin, 2022
Antibacterial Efficacy of Phytosynthesized Multi-Metal Oxide Nanoparticles against Drug-Resistant Foodborne Pathogens
Vijayalakshmi Selvakumar, Karnan Muthusamy, Amitava Mukherjee, Shahana Farheen S., Ramachandran Chelliah, Kaliyan Barathikannan, Deog-Hwan Oh, Ramamoorthy Ayyamperumal, Shankar Karuppannan
Journal of Nanomaterials, 2022
Environmental Hazard of Polypropylene from Disposable Face Masks Linked to the COVID-19 Pandemic and Its Possible Mitigation Techniques through a Green Approach
Selvakumar Vijayalakshmi, Preethi Gopalsamy, Karnan Muthusamy, Dinesh Kumar Sundarraj, Steffi Pulikondan francis, Thiyagarajan Ramesh, Deog-Hwan Oh, Duong Ly Thi Thuy, Tuyet Thi Anh Truong, Huu Tap Van, Shankar Karuppannan
Journal of Chemistry, 2022
Assessment of seasonal variation in distribution and abundance of plankton and ichthyofaunal diversity in relation to environmental indices of Karankadu Mangrove, South East Coast of India
Kannayiram Muthukumaravel, Kumara Perumal Pradhoshini, Natarajan Vasanthi, Thimmarayan Raja, M. Abdul Jaleel, Kantha Deivi Arunachalam, Mohamed Saiyad Musthafa, Ramamoorthy Ayyamperumal, Shankar Karuppannan, Rajakrishnan Rajagopal, Ahmed Alfarhan, Murugesan Chandrasekaran, Soon Wang Chang, Balasubramani Ravindran
Marine Pollution Bulletin, 2021
Numerical modeling of groundwater flow system in the Modjo River catchment, Central Ethiopia
Ashebir Gebere, Nafyad Serre Kawo, Shankar Karuppannan, Aster Tesfaye Hordofa, Paolo Paron
Modeling Earth Systems and Environment, 2021
Origin and geochemical evolution of groundwater in the Abaya Chamo basin of the Main Ethiopian Rift: application of multi-tracer approaches
Muhammed Haji, Dajun Qin, Yi Guo, Lu Li, Dongdong Wang, Shankar Karuppannan, Hassen Shube
Hydrogeology Journal, 2021
Performance evaluation of GPM-IMERG early and late rainfall estimates over Lake Hawassa catchment, Rift Valley Basin, Ethiopia
Nafyad Serre Kawo, Aster Tesfaye Hordofa, Shankar Karuppannan
Arabian Journal of Geosciences, 2021
Groundwater Pollution and Human Health Risks in an Industrialized Region of Southern India: Impacts of the COVID-19 Lockdown and the Monsoon Seasonal Cycles
D. Karunanidhi, P. Aravinthasamy, M. Deepali, T. Subramani, K. Shankar
Archives of Environmental Contamination and Toxicology, 2021
Potential Human Health Risks Due to Groundwater Fluoride Contamination: A Case Study Using Multi-techniques Approaches (GWQI, FPI, GIS, HHRA) in Bilate River Basin of Southern Main Ethiopian Rift, Ethiopia
Muhammed Haji, Shankar Karuppannan, Dajun Qin, Hassen Shube, Nafyad Serre Kawo
Archives of Environmental Contamination and Toxicology, 2021
Occurrence of Heavy Metals in Groundwater Along the Lithological Interface of K/T Boundary, Peninsular India: A Special Focus on Source, Geochemical Mobility and Health Risk
Thivya Chandrasekar, Tirumalesh Keesari, Gnanachandrasamy Gopalakrishnan, Shankar Karuppannan, Venkatramanan Senapathi, Chidambaram Sabarathinam, Prasanna Mohan Viswanathan
Archives of Environmental Contamination and Toxicology, 2021
Impact of climate and anthropogenic activities on groundwater quality for domestic and irrigation purposes in attur region, Tamilnadu, India
P. Balamurugan, P.S. Kumar, K. Shankar, P.J. Sajil Kumar
Desalination and Water Treatment, 2020
Air pollution improvement and mortality rate during COVID-19 pandemic in India: global intersectional study
Manikanda Bharath Karuppasamy, Srinivasalu Seshachalam, Usha Natesan, Ramamoorthy Ayyamperumal, Shankar Karuppannan, Gnanachandrasamy Gopalakrishnan, Nusrat Nazir
Air Quality Atmosphere and Health, 2020
A GIS-based evaluation of hydrochemical characterisation of groundwater in hard rock region, South Tamil Nadu, India
Balamurugan Panneerselvam, Suresh Kumar Paramasivam, Shankar Karuppannan, Nagavinothini Ravichandran, Pauline Selvaraj
Arabian Journal of Geosciences, 2020
Dataset on the suitability of groundwater for drinking and irrigation purposes in the Sarabanga River region, Tamil Nadu, India
P. Balamurugan, P.S. Kumar, K. Shankar
Data in Brief, 2020
Evaluation of seasonal and temporal variations of groundwater quality around Jawaharnagar municipal solid waste dumpsite of Hyderabad city, India
B. Soujanya Kamble, Praveen Raj Saxena, Rama Mohan Kurakalva, K. Shankar
SN Applied Sciences, 2020
Non-carcinogenic risk assessment of groundwater in southern part of Salem district in Tamilnadu, India
P. Balamurugan, P.S. Kumar, K. Shankar, R. Nagavinothini, K. Vijayasurya
Journal of the Chilean Chemical Society, 2020
Evaluation of drinking and irrigation suitability of groundwater with special emphasizing the health risk posed by nitrate contamination using nitrate pollution index (NPI) and human health risk assessment (HHRA)
Balamurugan Panneerselvam, Shankar Karuppannan, Kirubakaran Muniraj
Human and Ecological Risk Assessment, 2020
Data on time series analysis of land surface temperature variation in response to vegetation indices in twelve Wereda of Ethiopia using mono window, split window algorithm and spectral radiance model
A.S. Mohammed Abdul Athick, K. Shankar, Hasan Raja Naqvi
Data in Brief, 2019
Data on land use and land cover changes in Adama Wereda, Ethiopia, on ETM+, TM and OLI- TIRS landsat sensor using PCC and CDM techniques
A.S. Mohammed Abdul Athick, K. Shankar
Data in Brief, 2019
Dataset on the assessment of water quality of surface water in Kalingarayan Canal for heavy metal pollution, Tamil Nadu
T. Mohanakavitha, R. Divahar, T. Meenambal, K. Shankar, Vijay Singh Rawat, Tamirat Dessalegn Haile, Chimdi Gadafa
Data in Brief, 2019
Groundwater quality assessment using water quality index and GIS technique in Modjo River Basin, central Ethiopia
Nafyad Serre Kawo, Shankar Karuppannan
Journal of African Earth Sciences, 2018
Ground Water Quality Maps of Paravanar River Sub Basin, Cuddalore District, Tamil Nadu, India
Aravindan.S, Shankar.K
Journal of the Indian Society of Remote Sensing, 2011
Integrated geohydrological studies in the sedimentary part of Gadilam river basin, Cuddalore district, Tamil Nadu
S. Aravindan, K. Shankar, S.S. Mini
Asian Journal of Earth Sciences, 2011
A case study on dental fluorosis in Uthangarai Taluk, Krishnagiri District, Tamil Nadu, India
Asian Journal of Microbiology Biotechnology and Environmental Sciences, 2011
Discrimination of iron ore deposits of granulite terrain of Southern Peninsular India using ASTER data
Sankaran Rajendran, A. Thirunavukkarasu, G. Balamurugan, K. Shankar
Journal of Asian Earth Sciences, 2011
Hydrogeochemistry of the paravanar river sub-basin, cuddalore district, Tamilnadu, India
K. Shankar, S. Aravindan, S. Rajendran
E Journal of Chemistry, 2011
Distribution of minarels in some villages of (Krishnagiri District), Tamil Nadu, India (focus on fluoride and fluorosis)
Pollution Research, 2010

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