BALAMURUGAN P

@chula.ac.th

Postdoctoral researcher, Center of Excellent in Interdisciplinary Research for Sustainable Development
Chulalongkorn University



                    

https://researchid.co/bala10

EDUCATION

Ph.D., - ENVIRONMENTAL ENGINEERING
M.E., - ENVIRONMENTAL ENGINEERING
B.E., - CIVIL ENGINEERING

RESEARCH INTERESTS

Groundwater, Climate change impact on natural resource, Wastewater engineering

71

Scopus Publications

2257

Scholar Citations

27

Scholar h-index

47

Scholar i10-index

Scopus Publications

  • 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, and Ashu Fekadu
    Royal Society of Chemistry (RSC)
    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, and Balamurugan Paneerselvam
    MDPI AG
    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, Manish Gupta, Khursheed Muzammil, Yousef Zahrani, and Musa Malmutheibi
    Elsevier BV

  • 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, Subbarayan Saravanan, and Xi Xi Lu
    Elsevier BV


  • Unveiling Gender-Based Musculoskeletal Disorders in the Construction Industry: A Comprehensive Analysis
    Suresh Kumar Paramasivam, Kanitha Mani, and Balamurugan Paneerselvam
    MDPI AG
    Without physically intensive building, modern infrastructure development would be impossible. Musculoskeletal diseases (MSDs) and other occupational health issues may arise in such a demanding environment. Construction workers often develop MSDs from repeated actions, uncomfortable postures, and heavy lifting. Musculoskeletal disorders may damage muscles, bones, tendons, ligaments, etc. The effect of MSDs is well known; occupational health studies increasingly include gender-specific aspects. Despite being in the minority, the number of female construction employees is growing. However, physiological variations and occupational activities and environments may provide distinct obstacles. Thus, identifying gender-specific MSDs in construction is essential for worker safety. This research proposes a gender-specific machine learning (ML)-based musculoskeletal disorder detection framework (GS-ML-MSD2F) in the construction industry. A simple random selection procedure chose 250 female and 250 male rebar workers with at least six months of experience for the dataset. In January and June 2023, face-to-face interviews and ergonomic evaluations were undertaken. The data were analyzed using different machine learning methods, and the effectiveness of the methods was studied. The data showed that 60% of female rebar workers had MSD symptoms. The lower back and shoulders accounted for 40% of cases. Multiple machine learning methods revealed two significant factors related to musculoskeletal disorders: lengthy working hours and uncomfortable postures, and long working hours had an adjusted odds ratio of 8.5%, whereas awkward posture had an adjusted odds ratio of 42.5%. These results emphasize the relevance of working hours and posture in MSD prevention for female rebar workers in the construction sector.

  • 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, and Anil Kumar Dikshit
    IWA Publishing
    Abstract The present study found that ∼80 million people in India, ∼60 million people in Pakistan, ∼70 million people in Bangladesh, and ∼3 million people in Nepal are exposed to arsenic groundwater contamination above 10 μg/L, while Sri Lanka remains moderately affected. In the case of fluoride contamination, ∼120 million in India, >2 million in Pakistan, and ∼0.5 million in Sri Lanka are exposed to the risk of fluoride above 1.5 mg/L, while Bangladesh and Nepal are mildly affected. The hazard quotient (HQ) for arsenic varied from 0 to 822 in India, 0 to 33 in Pakistan, 0 to 1,051 in Bangladesh, 0 to 582 in Nepal, and 0 to 89 in Sri Lanka. The cancer risk of arsenic varied from 0 to 1.64 × 1−1 in India, 0 to 1.07 × 10−1 in Pakistan, 0 to 2.10 × 10−1 in Bangladesh, 0 to 1.16 × 10−1 in Nepal, and 0 to 1.78 × 10−2 in Sri Lanka. In the case of fluoride, the HQ ranged from 0 to 21 in India, 0 to 33 in Pakistan, 0 to 18 in Bangladesh, 0 to 10 in Nepal, and 0 to 10 in Sri Lanka. Arsenic and fluoride have adverse effects on animals, resulting in chemical poisoning and skeletal fluorosis. Adsorption and membrane filtration have demonstrated outstanding treatment outcomes.

  • Enhancing groundwater vulnerability assessment: Comparative study of three machine learning models and five classification schemes for Cuddalore district
    Saravanan Subbarayan, Saranya Thiyagarajan, Shankar Karuppannan, and Balamurugan Panneerselvam
    Elsevier BV


  • 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, and Hazem Ghassan Abdo
    MDPI AG
    The quality of groundwater plays an important role in human health, and it majorly influences the agricultural process in the southern part of India. The present study mainly focused on evaluating the quality of groundwater used for domestic purpose in semi-arid regions of the southern part of India. The samples were collected in 36 locations, covering the entire investigation zone. The collected samples were analyzed for various physical and chemical characteristics of groundwater and compared with the world health organization standards. The entropy-weighted water quality index (EWQI) of the groundwater revealed that 16.67% of the samples required primary-level treatment before they could be used for drinking purposes. About 72.23% of the samples were in the good-to-medium category for drinking purposes, as was identified through weighted overlay analysis. The ionic relationship plot was used to identify the source of contamination and it revealed that carbonate weathering and anthropogenic activities are the primary sources of groundwater contamination. The present results show the contaminated zones and offer more helpful solutions to strengthen the water management policy in the study region.

  • 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, and Butsawan Bidorn
    Elsevier BV

  • 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, and Stefano Papirio
    MDPI AG
    Aerobic granular sludge is an interesting alternative to the conventional activated sludge (CAS) system and modified-Ludzack–Ettinger (MLE) process for biological wastewater treatment, as it allows a more cost-effective and simultaneous removal of carbon (C) and nitrogen (N) compounds in a single stage. In this study, (micro)aerobic C and N removal from synthetic urban wastewater was investigated in a continuous-double-column-upflow aerobic granular sludge blanket (UAGSB) system. The UAGSB reactor was operated under different dissolved oxygen (DO) ranges (0.01–6.00 mg∙L−1), feed C/N ratios (4.7–13.6), and hydraulic retention times (HRTs) (6–24 h). At a DO range of 0.01–0.30 mg∙L−1, feed C/N ratio of 13.6, and HRT of 24 h, the UAGSB achieved the highest chemical oxygen demand (COD), N-NH4+, and total inorganic nitrogen (TIN) removal efficiencies of 86, 99, and 84%, respectively. A preliminary assessment of the energy and economic savings associated with the process investigated was also carried out. The impact of capital and operating costs mainly related to the energy consumption of the aeration was taken into account. The assessment reveals that the capital and energy expenses of the UAGSB reactor would result in cost savings of around 14 and 7%, respectively, compared with a MLE system.

  • 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, and Butsawan Bidorn
    Elsevier BV

  • GIS-based potential assessment of floating photovoltaic systems in reservoirs of Tamil Nadu in India
    Nagavinothini Ravichandran, Balamurugan Paneerselvam, and Nagananthini Ravichandran
    Oxford University Press (OUP)
    Abstract Floating photovoltaic systems (FPVs) are one of the emerging renewable-energy technologies suitable for implementation in land-scarce areas around the world. The installation of FPVs in water bodies in highly populated countries such as India will improve renewable-energy production with added advantages in terms of efficiency, water savings and reduced carbon emissions. In this context, the present study aims to identify suitable reservoirs for solar energy production using FPV technology in Tamil Nadu, India using geographic information system techniques. A total of 118 reservoirs located in the study area were considered. The results have shown that the implementation of FPV systems will significantly improve the production of renewable energy. The most suitable reservoirs with hydroelectric power plants for hybrid FPV implementation and their potential to reduce water evaporation and carbon emissions are presented. The results reveal that hybrid systems will generate 1542.53 GWh of power annually and also save 36.32 × 106 m3 of water every year. The results of this investigation will aid in fulfilling sustainable energy production in India, and the methodology presented may be useful for the analysis and prioritization of reservoirs for the implementation of FPV all over the world.

  • 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, Mukesh Panneerselvam, Balamurugan Panneerselvam, Vivek Sivakumar, and Butsawan Bidorn
    Elsevier BV


  • 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, and Maciej Thomas
    Springer Science and Business Media LLC
    AbstractThe main objective of the present study is to perform risk assessment of groundwater contaminated by nitrate (NO3−) and evaluate the suitability of groundwater for domestic purposes in the Palani region of South India. Thirty groundwater samples were collected in the study area. Various groundwater quality analysis parameters such as the pH, electrical conductivity, total dissolved solids, total hardness, major cations (Ca2+, Mg2+, Na+, and K+), and major anions (Cl−, SO42−, F−, CO32−, and HCO3−) were adopted in this study to evaluate the drinking water suitability according to 2011 World Health Organization (WHO) standards. Piper and Gibbs’s diagrams for the tested groundwater indicated that, due to the influence of rock–water interactions, evaporation, and reverse ion exchange, the chemical composition of groundwater varied. According to water quality index (WQI) mapping results, 46.67% of the sample locations was identified as contaminated zones via GIS spatial analysis. Multivariate statistical analysis methods, such as principal component analysis, cluster analysis, and the Pearson correlation matrix, were applied to better understand the relationship between water quality parameters. The results demonstrated that 40% of the samples could be identified as highly affected zones in the study region due to a high nitrate concentration. The noncarcinogenic health risks among men, women, and children reached 40, 50, and 53%, respectively. The results illustrated that children and women occurred at a higher risk than did men in the study region. The major sources of contamination included discharge from households, uncovered septic tanks, leachate from waste dump sites, and excess utilization of fertilizers in the agricultural sector. Furthermore, using the nitrate health hazard integrated method with the conventional indexing approach ensures that groundwater reliability can be guaranteed, contamination can be explored, and appropriate remedial measures can be implemented.

  • Thermodynamic Investigation and Study of Kinetics and Mass Transfer Mechanisms of Oily Wastewater Adsorption on UIO-66–MnFe<inf>2</inf>O<inf>4</inf> as a Metal–Organic Framework (MOF)
    Abdelfattah Amari, Heba Saed Kariem Alawameleh, Mubeen Isam, Mohammed Abdul Jaleel Maktoof, Haitham Osman, Balamurugan Panneerselvam, and Maciej Thomas
    MDPI AG
    Hitherto, a considerable amount of research has been carried out to investigate the equilibrium condition of adsorption process; nevertheless, there is no comprehensive study to evaluate the surface adsorption properties of MOFs. Therefore, the adsorption mechanism and equilibrium capacity of MOFs have not been fully understood. Furthermore, the mass transfer mechanism is still unknown and so it is not possible to predict the adsorption process using MOFs. In this work, a new metal–organic framework (MOF) named UIO-66–MnFe2O4 was synthesized as an adsorbent for oily wastewater treatment. In this way the effects of temperature, amount of adsorbent, adsorption time, pH, and pollutant initial concentration were studied in the treatment of oily wastewater using the UIO-66-MnFe2O4 MOF through the adsorption process. Furthermore, to examine the process of surface adsorption, different adsorption kinetic models (pseudo-first-order, pseudo-second-order, and Elovich) have been performed for the removal of oily pollutants on MOF adsorbents and the surface adsorption mechanism has been discussed carefully. Moreover, to investigate the mass transfer mechanism of oily pollutants in the surface adsorption process, different mass transfer models (Weber and Morris, liquid film diffusion, and Bangham and Burt) have been investigated on porous adsorbents, and finally the mass transfer mechanism of the adsorption process has been proposed.

  • 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, and Butsawan Bidorn
    MDPI AG
    The continuous intake of contaminated drinking water causes serious issues for human health. In order to estimate the suitability of groundwater for drinking and irrigation, and also conduct human risk assessments of various groups of people, a total of 43 sample locations in the semi-arid southern part of India were selected based on population density, and we collected and analyzed groundwater from the locations for major anions and cations. The present study’s novelty is integrating hydrochemical analysis with the entropy water quality index (EWQI), nitrate pollution index (NPI) and human health risk assessment. The results of the EWQI revealed that 44.19% of the sample locations need to be treated before consumption. About 37.20% of the study region has a high concentration of nitrate in the groundwater. NPI revealed that 41.86% of the samples had moderate or significant pollution levels. The non-carcinogenic risk evaluation showed that 6–12-year-old children are at a higher risk than teenagers, adults and elderly people in the study area. The natural sources of nitrate and other contamination of groundwater are rock–water interaction, weathering of rock, dissolution of carbonate minerals and evaporation processes, and the anthropogenic sources are the decomposition of organic substances in dumping yards, uncovered septic tanks and human and animal waste. The results suggest taking mitigation measures to reduce the contamination and improve the sustainable planning of groundwater management.

  • Monitoring of nature-based solution for stabilizing eroded muddy coastline of the Chao Phraya Delta, Thailand
    W Charoenlerkthawin, K Bidorn, B Panneerselvam, A Sriariyawat, S Otarawanna, and B Bidorn
    IOP Publishing
    Abstract The Chao Phraya Delta (CPD), Thailand’s largest delta and low-lying muddy coast, has experienced shoreline recession for over six decades due to relative sea-level rise. A nature-based solution, bamboo fences, widely used in low-lying tropical areas, have been intensely applied along the CPD coastline during the last two decades. This study evaluated the effectiveness of bamboo fences in protecting eroded CPD coastlines using remote sensing data (aerial photographs, satellite imagery, and LiDAR observation data). Results from this study indicate that the effectiveness of bamboo fences in trapping sediment decreased over time due to the deterioration of bamboo, which generally deteriorates within four years. Additionally, the installation of multiple layers of bamboo fences did not directly increase the effectiveness of the structure in stabilizing the CPD coastline. It was also found that the mangrove shoreline can be successfully regenerated in the CPD coast where the seabed is higher than 0.5 m amsl. Because of the short life of the bamboo fences, the bamboo fence may not be the best solution for coastal protection and sustainable coastal management in a low-lying area with a high rate of shoreline recession and a low rate of sedimentation.

  • Wastewater treatment with nanomaterials for the future: A state-of-the-art review
    Sasan Zahmatkesh, Mostafa Hajiaghaei-Keshteli, Awais Bokhari, Suresh Sundaramurthy, Balamurugan Panneerselvam, and Yousof Rezakhani
    Elsevier BV



  • Prediction and evaluation of groundwater characteristics using the radial basic model in Semi-arid region, India
    Balamurugan Panneerselvam, Kirubakaran Muniraj, Chaitanya Pande, and Nagavinothini Ravichandran
    Informa UK Limited

  • Performance Evaluation of Environmentally Sustainable Precast Cement Concrete Paver Blocks Using Fly Ash and Polypropylene Fibre
    Suresh Sundaramurthy, Shashi Bala, Anil Kumar Sharma, Jyoti Verma, Sasan Zahmatkesh, S. Arisutha, Sarika Verma, Mika Sillanpaa, Nagavinothini Ravichandran, and Balamurugan Panneerselvam
    MDPI AG
    Paver blocks are manufactured from zero-slump plain concrete, which is small element used for outdoor applications and flexible road surfaces. IS:15658 (2006) permits the use of 33- grade ordinary Portland cement (OPC) as the minimum for manufacturing paver blocks, but the usage of this type of cement is restricted in India nowadays. In this context, we have studied OPC 43-grade cement replaced by 30% Class F-grade fly ash and the addition of 0.0% and 0.5% polypropylene fibre (PPF) to evaluate the suitability of paver blocks in terms of the climatic conditions, movement of vehicles and road surfaces in India. The synergistic effect of the mechanical properties of paver blocks revealed that a 30% replacement of OPC with fly ash and 0.3% PPF is more suitable for the manufacturing of paver blocks. The obtained results from the reference mixes indicated that the mechanical properties of paver blocks have increased with respect to the age of the blocks. The present study is important for paver block manufacturers as it fulfils the mix design, strength and durability requirements for Indian roads associated with the utilization of waste materials such as fly ash. Additionally, the study will help the national economy increase by 20% in the future, along with the sustainability of virgin materials.

RECENT SCHOLAR PUBLICATIONS

  • 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

  • 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

  • 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

  • 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

  • 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

  • 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, 142312 2024

  • Unveiling gender-based musculoskeletal disorders in the construction industry: A comprehensive analysis
    SK Paramasivam, K Mani, B Paneerselvam
    Buildings 14 (4), 1169 2024

  • 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

  • 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

  • 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

  • Pollution source identification and suitability assessment of groundwater quality for drinking purposes in semi-arid regions of the southern part of India
    P Muthusamy, B Paneerselvam, SP Kaliyappan, H Almohamad, ...
    Water 15 (22), 3995 2023

  • Experimental investigation of co-composting of gelatine industrial sludge combined with slaughter house waste and rice straw
    U Raju, B Panneerselvam, S Maruthamuthu
    GLOBAL NEST JOURNAL 25 (9), 133-141 2023

  • A novel approach for the prediction and analysis of daily concentrations of particulate matter using machine learning
    B Panneerselvam, N Ravichandran, UC Dumka, M Thomas, ...
    Science of the Total Environment 897, 166178 2023

  • 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

  • Evaluating the effectiveness of emissions reduction measures and ambient air quality variability through ground-based and Sentinel-5P observations under the auspices of COVID
    K Muniraj, B Panneerselvam, S Devaraj, CJ Jesudhas, K Sudalaimuthu
    International Journal of Environmental Analytical Chemistry 103 (13), 3109-3120 2023

  • Machine learning approach to evaluate the groundwater quality and human health risk for sustainable drinking and irrigation purposes in South India
    B Paneerselvam, N Ravichandran, P Li, M Thomas, W Charoenlerkthawin, ...
    Chemosphere 336, 139228 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
    A Lanzetta, F Di Capua, B Panneerselvam, D Mattioli, G Esposito, ...
    Energies 16 (17), 6303 2023

  • Monitoring of nature-based solution for stabilizing eroded muddy coastline of the Chao Phraya Delta, Thailand
    W Charoenlerkthawin, K Bidorn, B Panneerselvam, A Sriariyawat, ...
    IOP Conference Series: Earth and Environmental Science 1226 (1), 012013 2023

  • GIS-based potential assessment of floating photovoltaic systems in reservoirs of Tamil Nadu in India
    N Ravichandran, B Paneerselvam, N Ravichandran
    Clean Energy 7 (3), 671-689 2023

  • 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

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
    Citations: 143

  • 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, 1-25 2022
    Citations: 137

  • 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
    Citations: 131

  • 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
    Citations: 126

  • 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
    Citations: 114

  • 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
    Citations: 102

  • 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
    Citations: 98

  • 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, 1-22 2020
    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
    Citations: 77

  • 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
    Citations: 67

  • 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
    Citations: 63

  • 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
    Citations: 56

  • 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
    Citations: 56

  • 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, 1-14 2022
    Citations: 50

  • 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
    Citations: 47

  • 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
    Citations: 46

  • 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
    Citations: 46

  • 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
    Citations: 45

  • 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
    Citations: 45

  • Suitability of Ground Water for Irrigation Purpose in Omalur Taluk, Salem, Tamil Nadu, India
    PSKP Balamurugan
    Indian Journal of Ecology 46 (1), 1-6 2019
    Citations: 44