Outputs (41)

Degradation and Residue Dynamics of Fluazinam in Diverse Indian Soil Types and Water pH Conditions: A comprehensive study using kinetic models (2024)
Journal Article
Mukhopadhyay, S., Mandal, J., Kanrar, B., Chatterjee, D., Bhattacharyya, A., & Majumder, S. (in press). Degradation and Residue Dynamics of Fluazinam in Diverse Indian Soil Types and Water pH Conditions: A comprehensive study using kinetic models. Frontiers in Environmental Science, https://doi.org/10.3389/fenvs.2024.1394847

Fluazinam a promising fungicide, is not yet registered in India. Consequently it is important to study the dissipation of its specific formulation in Indian soil and water. This study focuses on the degradation and residue dynamics of Fluazinam (40 %... Read More about Degradation and Residue Dynamics of Fluazinam in Diverse Indian Soil Types and Water pH Conditions: A comprehensive study using kinetic models.

Appraisal of pollution and health risks associated with coal mine contaminated soil using multimodal statistical and Fuzzy-TOPSIS approaches (2024)
Journal Article
Kumar, S., Banerjee, S., Ghosh, S., Majumder, S., Mandal, J., Roy, P. K., & Bhattacharyya, P. (2024). Appraisal of pollution and health risks associated with coal mine contaminated soil using multimodal statistical and Fuzzy-TOPSIS approaches. Frontiers of Environmental Science and Engineering, 18(5), https://doi.org/10.1007/s11783-024-1820-7

The present study assesses the concentration, probabilistic risk, source classification, and dietary risk arising from heavy metal (HMs) pollution in agricultural soils affected by coal mining in eastern part of India. Analyses of soil and rice plan... Read More about Appraisal of pollution and health risks associated with coal mine contaminated soil using multimodal statistical and Fuzzy-TOPSIS approaches.

The distribution, fate, and environmental impacts of food additive nanomaterials in soil and aquatic ecosystems. (2024)
Journal Article
Bolan, S., Sharma, S., Mukherjee, S., Zhou, P., Mandal, J., Srivastava, P., …Bolan, N. (in press). The distribution, fate, and environmental impacts of food additive nanomaterials in soil and aquatic ecosystems. #Journal not on list, 916, 170013. https://doi.org/10.1016/j.scitotenv.2024.170013

Nanomaterials in the food industry are used as food additives, and the main function of these food additives is to improve food qualities including texture, flavor, color, consistency, preservation, and nutrient bioavailability. This review aims to p... Read More about The distribution, fate, and environmental impacts of food additive nanomaterials in soil and aquatic ecosystems..

Meta-Analysis of Biochar as an Amendment for Arsenic Mitigation in Paddy Soils (2024)
Journal Article
Mandal, J., Sharma, P. K., Mondal, D., Wood, M. D., Hutchinson, S. M., Kirby, J., & Srivastava, P. (2024). Meta-Analysis of Biochar as an Amendment for Arsenic Mitigation in Paddy Soils. Current Pollution Reports, 10(1), 105-118. https://doi.org/10.1007/s40726-023-00288-1

Purpose of Review: The purpose of this review is to evaluate the effectiveness of biochar in immobilizing arsenic (As) in contaminated paddy soils and its impact on As availability and bioaccumulation in rice, as well as rice plant biomass. Recent Fi... Read More about Meta-Analysis of Biochar as an Amendment for Arsenic Mitigation in Paddy Soils.

From fuzzy-TOPSIS to machine learning: A holistic approach to understanding groundwater fluoride contamination. (2023)
Journal Article
Nandi, R., Mondal, S., Mandal, J., & Bhattacharyya, P. (2024). From fuzzy-TOPSIS to machine learning: A holistic approach to understanding groundwater fluoride contamination. Science of the Total Environment, 912, 169323. https://doi.org/10.1016/j.scitotenv.2023.169323

Fluoride (F ) contamination of groundwater is a prevalent environmental issue threatening public health worldwide and in India. This study targets an investigation into spatial distribution and contamination sources of fluoride in Dhanbad, India, to... Read More about From fuzzy-TOPSIS to machine learning: A holistic approach to understanding groundwater fluoride contamination..

Appraisal of treated drinking water quality from arsenic removal units in West Bengal, India: Approach on safety, efficiency, sustainability, future health risk and socioeconomics (2023)
Journal Article
Das, A., Joardar, M., De, A., Mridha, D., Ghosh, S., Das, B., …Roychowdhury, T. (in press). Appraisal of treated drinking water quality from arsenic removal units in West Bengal, India: Approach on safety, efficiency, sustainability, future health risk and socioeconomics. Journal of Hazardous Materials, 465, 133216. https://doi.org/10.1016/j.jhazmat.2023.133216

The present study depicts the true failed scenario of the arsenic (As) removal units (ARU) in West Bengal by evaluating their treated water quality. Annual As removal efficiency of the 12 studied ARUs range between 35.2% and 82.6%.... Read More about Appraisal of treated drinking water quality from arsenic removal units in West Bengal, India: Approach on safety, efficiency, sustainability, future health risk and socioeconomics.

Silica sources for arsenic mitigation in rice: machine learning-based predictive modeling and risk assessment. (2023)
Journal Article
Khanam, R., Nayak, A. K., Kulsum, P. G. P. S., Mandal, J., Shahid, M., Tripathy, R., …Bandaru, R. G. (in press). Silica sources for arsenic mitigation in rice: machine learning-based predictive modeling and risk assessment. Environmental Science and Pollution Research, https://doi.org/10.1007/s11356-023-30339-5

Arsenic (As) is a well-known human carcinogen, and the consumption of rice is the main pathway for the South Asian people. The study evaluated the impact of the amendments involving CaSiO , SiO nanoparticles, silica solubilizing bacteria (SSB), and... Read More about Silica sources for arsenic mitigation in rice: machine learning-based predictive modeling and risk assessment..

Deriving arsenic concentration guideline values for soil and irrigation water for rice cultivation (2023)
Thesis
Mandal, J. (2023). Deriving arsenic concentration guideline values for soil and irrigation water for rice cultivation. (Thesis). University of Salford

Arsenic (As) is a naturally occurring, toxic trace element that can be found in irrigation water, soil, and crops. Rice accumulates higher concentrations of As in its grains than other cereals like wheat and barley. This leads to concern over dietary... Read More about Deriving arsenic concentration guideline values for soil and irrigation water for rice cultivation.

Replacing conventional surface irrigation with micro-irrigation in vegetables can alleviate arsenic toxicity and improve water productivity (2023)
Journal Article
Sengupta, S., Patra, S. K., Laha, A., Poddar, R., Bhattacharyya, K., Dey, P., & Mandal, J. (2023). Replacing conventional surface irrigation with micro-irrigation in vegetables can alleviate arsenic toxicity and improve water productivity. Groundwater for Sustainable Development, 23, 101012. https://doi.org/10.1016/j.gsd.2023.101012

Arsenic (As), a heavy metal(loid), is exceedingly hazardous and carcinogenic and harms people, soil, plants, and water. Vegetable consumption can be a source for the absorption of As in humans. To find a feasible mitigation technique, a field experim... Read More about Replacing conventional surface irrigation with micro-irrigation in vegetables can alleviate arsenic toxicity and improve water productivity.

SPAD Chlorophyll Meter-Based Real-Time Nitrogen Management in Manure-Amended Lowland Rice (2023)
Journal Article
Ghosh, M., Roychowdhury, A., Dutta, S. K., Hazra, K. K., Singh, G., Kohli, A., …Gupta, S. K. (in press). SPAD Chlorophyll Meter-Based Real-Time Nitrogen Management in Manure-Amended Lowland Rice. Journal of Soil Science and Plant Nutrition, https://doi.org/10.1007/s42729-023-01457-3

Precise adjustment of timing and dosage of fertilizer nitrogen (N) under real-time nitrogen management (RTNM) is crucial to maximize benefits. The study aimed to assess and recommend the best combination of threshold SPAD-502 chlorophyll meter readin... Read More about SPAD Chlorophyll Meter-Based Real-Time Nitrogen Management in Manure-Amended Lowland Rice.