BALAMURUGAN P

Scopus Publications

A GIS-based multi-criteria decision-making approach for environmentally sustainable landfill site selection: a case study from an Indian smart city
Kirubakaran Muniraj, Colins Johnny Jesudhas, Balamurugan Panneerselvam, Anandha Kumar Subramani, Suresh Devaraj, et al.
Innovative Infrastructure Solutions, 2026
Assessing the impact of microplastic polymer wastes on environmental fate and human health risks
Maria Joseph Angelaa Lincy, Senthil Kumar Babu, Saghya Infant Shofia, Senthilkumar Nangan, Balamurugan Paneerselvam
Physics and Chemistry of the Earth, 2026
Microplastic Contamination in Nigerian Treated Waters and Packaged (Sachet, Bottled) Sources: Trends, Regional Disparities, and Policy Implications for Sustainable Practices
Johnbosco C. Egbueri, Johnson C. Agbasi, Sani I. Abba, Krishna Prakash Arunachalam, Abdullahi G. Usman, et al.
Analytical Letters, 2026
Assessment of climate change impacts on arsenic contamination in groundwater through machine learning, remote sensing, and GIS: a review
Sundarayamini Kannan, Balamurugan Paneerselvam, Vidhyalakshmi Sivakumar, Maciej Thomas, Arun Chandra Sekara Bharathy, et al.
Environmental Geochemistry and Health, 2025
A novel integrated approach to predict the sodium absorption ratio (SAR) of groundwater sustainability using deep learning models and SHAP approach
Kanak N. Moharir, Chaitanya Baliram Pande, Rabin Chakrabortty, Malay Pramanik, Balamurugan Paneerselvam, et al.
Applied Water Science, 2025
Correction to: Thermodynamic Investigation and Study of Kinetics and Mass Transfer Mechanisms of Oily Wastewater Adsorption on UIO-66–MnFe2O4 as a Metal–Organic Framework (MOF) (Sustainability, (2023), 15, 3, (2488), 10.3390/su15032488)
Abdelfattah Amari, Heba Saed Kariem Alawameleh, Mubeen Isam, Mohammed Abdul Jaleel Maktoof, Haitham Osman, et al.
Sustainability Switzerland, 2025
The authors would like to make the following corrections about the published paper [...]
Machine Learning-Based Framework to Predict the Combined Effects of Climate Change and Floating Photovoltaic Systems Installation on Water Quality of Open-Water Lakes
Nagavinothini Ravichandran, Balamurugan Paneerselvam
Sustainability Switzerland, 2025
Floating photovoltaic (FPV) systems represent a promising advancement in renewable energy technology; however, a comprehensive understanding of their environmental impacts is essential. The effects of FPV installation on lake water temperature remain unclear, potentially hindering the development of the technology due to associated negative implications for aquatic ecosystems. Furthermore, the rise in water temperature associated with climate change poses additional threats to open-water bodies. In this context, the current study endeavors to develop a machine learning (ML)-based framework to assess the combined impact of climate change and the installation of FPV systems on the water quality of open-water lakes. This framework involves the creation of three predictive models and a forecasting model utilizing various ML algorithms, concentrating on temperature and water quality predictions. The framework was applied to a case study assessing the impact of installing three distinct FPV systems on the water quality of Oostvoornse Lake in the Netherlands, employing water quality data available in the literature. The findings indicate a temporal increase in both air and water temperatures at the site, underscoring the ramifications of climate change. Additionally, the results suggest that FPV installations can influence lake thermal dynamics, leading to variations in water temperature and dissolved oxygen concentration, which presents both opportunities and challenges in addressing the impacts of climate change. The proposed framework will be an effective tool for evaluating the effects of FPV systems on water quality throughout their operational lifespan while addressing significant climate change issues.
Data-Driven Machine-Learning-Based Seismic Response Prediction and Damage Classification for an Unreinforced Masonry Building
Nagavinothini Ravichandran, Butsawan Bidorn, Oya Mercan, Balamurugan Paneerselvam
Applied Sciences Switzerland, 2025
Unreinforced masonry buildings are highly vulnerable to earthquake damage due to their limited ability to withstand lateral loads, compared to other structures. Therefore, a detailed assessment of the seismic response and resultant damage associated with such buildings becomes necessary. The present study employs machine learning models to effectively predict the seismic response and classify the damage level for a benchmark unreinforced masonry building. In this regard, eight regression-based models, namely, Linear Regression (LR), Stepwise Linear Regression (SLR), Ridge Regression (RR), Support Vector Machine (SVM), Gaussian Process Regression (GPR), Decision Tree (DT), Random Forest (RF), and Neural Networks (NN), were used to predict the building’s responses. Additionally, eight classification-based models, namely, Naïve Bayes (NB), Discriminant Analysis (DA), K-Nearest Neighbours (KNN), Adaptive Boosting (AB), DT, RF, SVM, and NN, were explored for the purpose of categorizing the damage states of the building. The material properties of the masonry and the earthquake intensity were considered as the input parameters. The results from the regression models indicate that the GPR model efficiently predicts the seismic response with larger coefficients of determination and smaller root mean square error values than other models. Among the classification-based models, the RF, AB, and NN models effectively classify the damage states with accuracy levels of 92.9%, 91.1%, and 92.6%, respectively. In conclusion, the overall performance of the non-parametric models, such as GPR, NN, and RF, was found to be better than that of the parametric models.
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, et al.
Rsc Advances, 2024
This research's main objective is to identify the level of contamination in drinking water in Adama town and its environs by employing PIG, GIS and HHRA.
A Novel Integrated Approach to Assess Groundwater Appropriateness for Agricultural Uses in the Eastern Coastal Region of India
Shunmuga Priya Kaliyappan, Fahdah Falah ben Hasher, Hazem Ghassan Abdo, Pazhuparambil Jayarajan Sajil Kumar, Balamurugan Paneerselvam
Water Switzerland, 2024
Due to the increase in demand for water, the rapid growth of urbanization and industrialization is the main threat to the source and quality of groundwater. The present study aimed to assess the suitability of groundwater for agricultural purposes in coastal regions using integrated approaches such as the saltwater mixing index (SWMI), the mineral saturation index (MSI), the agriculture suitability index (ASI), and unsupervised machine learning (USML) techniques. The result of the SWMI revealed that 20 and 17 sample locations were highly affected by saltwater intrusion in the study region’s northern and southeastern parts during the pre- and post-monsoon seasons. The detailed analysis of electrical conductivity in groundwater revealed that 19.64% and 14.29% of the samples were unfit for irrigation purposes, especially five sample locations, during both seasons. Regarding the overall suitability of groundwater for irrigation uses, the ASI values divulged that 8.9% of the samples were unsuitable for irrigation purposes. The spatial analysis of the ASI value indicated that 43.19 and 85.33 sq. km of area were unsuitable for irrigation practices. Additionally, the USML techniques identified the most influenced parameters such as Ca2+, Mg2+, Cl−, and SO42− during both seasons. The present study results help maintain proper, sustainable water management in the study region.
Lignocellulosic biomass for biochar production: A green initiative on biowaste conversion for pharmaceutical and other emerging pollutant removal
Vinay Kumar, Neha Sharma, Balamurugan Panneerselvam, Lohith Kumar Dasarahally Huligowda, Mridul Umesh, et al.
Chemosphere, 2024
Climate change influences on the streamflow and sediment supply to the Chao Phraya River basin, Thailand
Balamurugan Panneerselvam, Warit Charoenlerkthawin, Chaiwat Ekkawatpanit, Matharit Namsai, Butsawan Bidorn, et al.
Environmental Research, 2024
Integrating conceptual and machine learning models to enhance daily-Scale streamflow simulation and assessing climate change impact in the watersheds of the Godavari basin, India
Nagireddy Masthan Reddy, Subbarayan Saravanan, Balamurugan Paneerselvam
Environmental Research, 2024
Unveiling Gender-Based Musculoskeletal Disorders in the Construction Industry: A Comprehensive Analysis
Suresh Kumar Paramasivam, Kanitha Mani, Balamurugan Paneerselvam
Buildings, 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
A comprehensive review of human health risks of arsenic and fluoride contamination of groundwater in the South Asia region
Yash Aryan, Thambidurai Pon, Balamurugan Panneerselvam, Anil Kumar Dikshit
Journal of Water and Health, 2024
Pollution Source Identification and Suitability Assessment of Groundwater Quality for Drinking Purposes in Semi-Arid Regions of the Southern Part of India
Periyasamy Muthusamy, Balamurugan Paneerselvam, Shunmuga Priya Kaliyappan, Hussein Almohamad, Ali Abdullah Aldosari, et al.
Water Switzerland, 2023
A novel approach for the prediction and analysis of daily concentrations of particulate matter using machine learning
Balamurugan Panneerselvam, Nagavinothini Ravichandran, Umesh Chandra Dumka, Maciej Thomas, Warit Charoenlerkthawin, et al.
Science of the Total Environment, 2023
Impact of Influent Composition and Operating Conditions on Carbon and Nitrogen Removal from Urban Wastewater in a Continuous-Upflow (Micro)Aerobic Granular Sludge Blanket Reactor
Anna Lanzetta, Francesco Di Capua, Balamurugan Panneerselvam, Davide Mattioli, Giovanni Esposito, et al.
Energies, 2023
Machine learning approach to evaluate the groundwater quality and human health risk for sustainable drinking and irrigation purposes in South India
Balamurugan Paneerselvam, Nagavinothini Ravichandran, Peiyue Li, Maciej Thomas, Warit Charoenlerkthawin, et al.
Chemosphere, 2023
GIS-based potential assessment of floating photovoltaic systems in reservoirs of Tamil Nadu in India
Nagavinothini Ravichandran, Balamurugan Paneerselvam, Nagananthini Ravichandran
Clean Energy, 2023
Effects of fly ash and silica fume on alkalinity, strength and planting characteristics of vegetation porous concrete
Ganesh Prabhu Ganapathy, Arjunan Alagu, Samundeeswari Ramachandran, Arul Sivanantham Panneerselvam, George Gabriel Vimal Arokiaraj, et al.
Journal of Materials Research and Technology, 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, et al.
Environmental Geochemistry and Health, 2023
Integrated hydrogeophysical and GIS based demarcation of groundwater potential and vulnerability zones in a hard rock and sedimentary terrain of Southern India
K. Sankar, D. Karunanidhi, K. Kalaivanan, T. Subramani, D. Shanthi, et al.
Chemosphere, 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

RECENT SCHOLAR PUBLICATIONS

Contaminants of emerging concern in Nigerian bottled water: A critical review of occurrence, analytical foundations, and regulatory implications
JC Agbasi, AG Usman, B Paneerselvam, SI Abba, CC Aralu, ...
Journal of Environmental Chemical Engineering, 123075 , 2026
2026
A GIS-based multi-criteria decision-making approach for environmentally sustainable landfill site selection: a case study from an Indian smart city
K Muniraj, CJ Jesudhas, B Panneerselvam, AK Subramani, S Devaraj, ...
Innovative Infrastructure Solutions 11 (3), 121 , 2026
2026
Assessing the impact of microplastic polymer wastes on environmental fate and human health risks
ALM Joseph, SK Babu, SI Shofia, S Nangan
Physics and Chemistry of the Earth, Parts A/B/C, 104246 , 2025
2025
Citations: 3
Assessment of climate change impacts on arsenic contamination in groundwater through machine learning, remote sensing, and GIS: a review
S Kannan, B Paneerselvam, V Sivakumar, M Thomas, ACS Bharathy, ...
Environmental Geochemistry and Health 47 (12), 520 , 2025
2025
Citations: 1
Microplastic Contamination in Nigerian Treated Waters and Packaged (Sachet, Bottled) Sources: Trends, Regional Disparities, and Policy Implications for Sustainable Practices
JC Egbueri, JC Agbasi, SI Abba, KP Arunachalam, AG Usman, HO Abugu, ...
Analytical Letters, 1-37 , 2025
2025
Citations: 7
A novel integrated approach to predict the sodium absorption ratio (SAR) of groundwater sustainability using deep learning models and SHAP approach
KN Moharir, CB Pande, R Chakrabortty, M Pramanik, B Paneerselvam, ...
Applied Water Science 15 (7), 180 , 2025
2025
Citations: 1
Thermodynamic Investigation and Study of Kinetics and Mass Transfer Mechanisms of Oily Wastewater Adsorption on UIO-66-MnFe 2 O 4 as a Metal-Organic Framework (MOF …
A Amari, HSK Alawameleh, M Isam, MAJ Maktoof, H Osman, ...
SUSTAINABILITY 17 (11) , 2025
2025
Machine Learning-Based Framework to Predict the Combined Effects of Climate Change and Floating Photovoltaic Systems Installation on Water Quality of Open-Water Lakes
N Ravichandran, B Paneerselvam
Sustainability 17 (4), 1696 , 2025
2025
Data-driven machine-learning-based seismic response prediction and damage classification for an unreinforced masonry building
N Ravichandran, B Bidorn, O Mercan, B Paneerselvam
Applied Sciences 15 (4), 1686 , 2025
2025
Citations: 10
Correction: Amari et al. Thermodynamic Investigation and Study of Kinetics and Mass Transfer Mechanisms of Oily Wastewater Adsorption on UIO-66–MnFe2O4 as a Metal–Organic …
A Abdelfattah, AHS Kariem, I Mubeen, MMA Jaleel, O Haitham, ...
Sustainability 17 (11), 4903 , 2025
2025
Evaluation of groundwater quality through identification of potential contaminant
K Sundarayamini, VL Sivakumar, P Balamurugan
Civil and Environmental Engineering Reports 34 (4), 185-206 , 2024
2024
Citations: 2
Comparative Analysis of Machine Learning Techniques for Predicting Nitrate Concentration in Groundwater
VL Sivakumar, K Sundarayamini, P Balamurugan
2024 2nd International Conference on Self Sustainable Artificial … , 2024
2024
Citations: 2
A novel integrated approach to assess groundwater appropriateness for agricultural uses in the Eastern coastal region of India
SP Kaliyappan, FF Hasher, HG Abdo, PJ Sajil Kumar, B Paneerselvam
Water 16 (18), 2566 , 2024
2024
Citations: 16
Lignocellulosic biomass for biochar production: A green initiative on biowaste conversion for pharmaceutical and other emerging pollutant removal
V Kumar, N Sharma, B Panneerselvam, LKD Huligowda, M Umesh, ...
Chemosphere 360, 142312 , 2024
2024
Citations: 34
Climate change influences on the streamflow and sediment supply to the Chao Phraya River basin, Thailand
B Panneerselvam, W Charoenlerkthawin, C Ekkawatpanit, M Namsai, ...
Environmental Research 251, 118638 , 2024
2024
Citations: 10
Integrating conceptual and machine learning models to enhance daily-Scale streamflow simulation and assessing climate change impact in the watersheds of the Godavari basin, India
NM Reddy, S Saravanan, B Paneerselvam
Environmental Research 250, 118403 , 2024
2024
Citations: 8
Unveiling gender-based musculoskeletal disorders in the construction industry: A comprehensive analysis
SK Paramasivam, K Mani, B Paneerselvam
Buildings 14 (4), 1169 , 2024
2024
Citations: 7
A comprehensive review of human health risks of arsenic and fluoride contamination of groundwater in the South Asia region
Y Aryan, T Pon, B Panneerselvam, AK Dikshit
Journal of water and health 22 (2), 235-267 , 2024
2024
Citations: 41
Enhancing groundwater vulnerability assessment: Comparative study of three machine learning models and five classification schemes for Cuddalore district
S Subbarayan, S Thiyagarajan, S Karuppannan, B Panneerselvam
Environmental Research 242, 117769 , 2024
2024
Citations: 35
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 …
H Shube, S Karuppannan, M Haji, B Paneerselvam, N Kawo, A Mechal, ...
RSC advances 14 (41), 30272-30285 , 2024
2024
Citations: 39

MOST CITED SCHOLAR PUBLICATIONS

Delineation of groundwater potential zones for sustainable development and planning using analytical hierarchy process (AHP), and MIF techniques
CB Pande, KN Moharir, B Panneerselvam, SK Singh, A Elbeltagi, ...
Applied Water Science 11 (12), 186 , 2021
2021
Citations: 208
Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models
S Kouadri, CB Pande, B Panneerselvam, KN Moharir, A Elbeltagi
Environmental Science and Pollution Research 29 (14), 21067-21091 , 2022
2022
Citations: 206
Evaluation of drinking and irrigation suitability of groundwater with special emphasizing the health risk posed by nitrate contamination using nitrate pollution index (NPI) and …
B Panneerselvam, S Karuppannan, K Muniraj
Human and Ecological Risk Assessment: An International Journal 27 (5), 1324-1348 , 2020
2020
Citations: 184
Wastewater treatment with nanomaterials for the future: A state-of-the-art review
S Zahmatkesh, M Hajiaghaei-Keshteli, A Bokhari, S Sundaramurthy, ...
Environmental Research 216, 114652 , 2023
2023
Citations: 162
Non-Carcinogenic risk assessment of groundwater in southern part of Salem district in Tamil Nadu, India
P Balamurugan, PS Kumar, K Shankar, R Nagavinothini, K Vijayasurya
Journal of the Chilean Chemical Society 65 (1), 4697-4707 , 2020
2020
Citations: 151
An integrated approach to explore the suitability of nitrate-contaminated groundwater for drinking purposes in a semiarid region of India
B Panneerselvam, K Muniraj, K Duraisamy, C Pande, S Karuppannan, ...
Environmental Geochemistry and Health 45 (3), 647-663 , 2023
2023
Citations: 143
Effect of high nitrate contamination of groundwater on human health and water quality index in semi-arid region, South India
S Ramalingam, B Panneerselvam, SP Kaliappan
Arabian Journal of Geosciences 15 (3), 242 , 2022
2022
Citations: 124
Dataset on the suitability of groundwater for drinking and irrigation purposes in the Sarabanga River region, Tamil Nadu, India
KS P.Balamurugan, P.S.Kumar
Data in Brief 29 (April 2020) , 2020
2020
Citations: 120
A GIS-based evaluation of hydrochemical characterisation of groundwater in hard rock region, South Tamil Nadu, India
B Panneerselvam, SK Paramasivam, S Karuppannan, N Ravichandran, ...
Arabian Journal of Geosciences 13 (17), 837 , 2020
2020
Citations: 112
Geochemical evaluation and human health risk assessment of nitrate-contaminated groundwater in an industrial area of South India
B Panneerselvam, K Muniraj, C Pande, N Ravichandran, M Thomas, ...
Environmental Science and Pollution Research 29 (57), 86202-86219 , 2022
2022
Citations: 96
Identifying influencing groundwater parameter on human health associate with irrigation indices using the Automatic Linear Model (ALM) in a semi-arid region in India
B Panneerselvam, K Muniraj, M Thomas, N Ravichandran, B Bidorn
Environmental Research 202, 111778 , 2021
2021
Citations: 87
Effects of fly ash and silica fume on alkalinity, strength and planting characteristics of vegetation porous concrete
GP Ganapathy, A Alagu, S Ramachandran, AS Panneerselvam, ...
Journal of Materials Research and Technology 24, 5347-5360 , 2023
2023
Citations: 77
Prediction and evaluation of groundwater characteristics using the radial basic model in Semi-arid region, India
B Panneerselvam, K Muniraj, C Pande, N Ravichandran
International Journal of Environmental Analytical Chemistry 103 (6), 1377-1393 , 2023
2023
Citations: 76
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
B Panneerselvam, N Ravichandran, SP Kaliyappan, S Karuppannan, ...
Water 15 (3), 601 , 2023
2023
Citations: 73
Phytoremediation potential of water hyacinth in heavy metal removal in chromium and lead contaminated water
B Panneerselvam, S Priya K
International Journal of Environmental Analytical Chemistry 103 (13), 3081-3096 , 2023
2023
Citations: 71
Impact of climate and anthropogenic activities on groundwater quality for domestic and irrigation purposes in Attur region, Tamilnadu, India
PJSK P.Balamurugan P.S Kumar, K.Shankar
Desalination and Water treatment 208, 172-195 , 2020
2020
Citations: 61
Comparative assessment of offshore floating photovoltaic systems using thin film modules for Maldives islands
N Ravichandran, N Ravichandran, B Panneerselvam
Sustainable Energy Technologies and Assessments 53, 102490 , 2022
2022
Citations: 60
Performance analysis of a floating photovoltaic covering system in an Indian reservoir
N Ravichandran, N Ravichandran, B Panneerselvam
Clean Energy 5 (2), 208-228 , 2021
2021
Citations: 59
Groundwater flow modeling in the basaltic hard rock area of Maharashtra, India
CB Pande, KN Moharir, SK Singh, A Elbeltagi, QB Pham, ...
Applied Water Science 12 (1), 12 , 2022
2022
Citations: 58
Suitability of groundwater quality for irrigation in and around the main Gadilam river basin on the east coast of southern India
KSPB R. Ravi, S. Aravindan
Archives of Agriculture and Environmental Science 5 (4), 554-562 , 2020
2020
Citations: 56

BALAMURUGAN P

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Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS