- 22 December, 2024
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- ONECSIR
| Designation: |
Sr.Technical Officer(2)
|
| Email Id: | s_lokhande[at]neeri[dot]res[dot]in |
| Qualification: |
A.M.I.E, DERE, HSSC |
| Specialization: |
Electronics
|
| Address: |
Sub-Verticals 5A : SOPHISTICATED ENVIRONMENTAL ANALYTICAL FACILITY, NEERI Nagpur
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| Biodata: |
| Sr. No. | Project Name |
|---|---|
| 1 |
Greenbelt Development along with highway and its performance Evaluation towards Eco-Capital Build up
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| 2 |
Environmental Impact Assessment (EIA) Study for Proposed Multi-Product Special Economic Zone (SEZ)/Industrial Park at Sausar Tehsil, Chhindwara, Madhya Pradesh
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| 3 |
Environmental Impact Assessment Study for the proposed Barrage across Narmada River near Bhadbhut district, Bharuch.
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| Sr. No. | Publication Name |
|---|---|
| 1 |
Evaluation of practical framework for Industrial noise mapping: A case study
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| 2 |
Realizing Modeling and Mapping Tools to Study the Upsurge of Traffic Noise Pollution as a Result of Open-cast Mining and Transportation Activities
Introduction: In open-cast mines, noise pollution has become a serious concern due to the extreme use of heavy earth moving machinery (HEMM). Materials and Methods: This study is focused to measure and assess the effects of the existing noise levels of major operational mines in the Keonjhar, Sundergadh, and Mayurbhanj districts of Odisha, India. The transportation noise levels were also considered in this study, which was predicted using the modified Federal Highway Administration (FHWA) model. Result and Discussion: It was observed that noise induced by HEMM such as rock breakers, jackhammers, dumpers, and excavators, blasting noise in the mining terrain, as well as associated transportation noise became a major source of annoyance to the habitants living in proximity to the mines. The noise produced by mechanized mining operations was observed between 74.3 and 115.2 dB(A), and its impact on residential areas was observed between 49.4 and 58.9 dB(A). In addition, the noise contour maps of sound level dispersion were demonstrated with the utilization of advanced noise prediction software tools for better understanding. Conclusion: Finally, the predicted values at residential zone and traffic noise are correlated with observed values, and the coefficient of determination, R2, was calculated to be 0.6891 and 0.5967, respectively. |
| 3 |
Assessment of heterogeneous road traffic noise in Nagpur
"he objective of the study is to assess the noise scenario and evaluate prediction model for heterogeneous traffic conditions. In the past few years, road traffic of Nagpur has increased significantly due to the rapid increase in the number of vehicles. Noise levels are monitored at six different squares, characterized as interrupted traffic flow due to traffic signals, high population density and heavy traffic where the major sources of noise are engines, exhausts, tires interacting with the road, horns, sound of gear boxes, breaks, etc. The A-weighted time-average sound levels (LAeq;T) are measured at the different time of day during peak and off-peak traffic hours. To assess the traffic noise more precisely, the noise descriptors such as L10, L50, L90, LAeq;T, TNI (Traffic Noise Index), NPL (Noise Pollution Level) and NC (Noise Climate) are used. In the present study, the Federal Highway Administration (FHWA) noise prediction model is used for prediction of noise levels and it is observed that one-hour duration measured LAeq;T ranged from 71 to 76 dB(A) and 71.6 to 76.3 dB(A) during peak and off peak hours respectively. Due to the heavy traffic the peak hour Sound Exposure Levels (LAE) at all locations are exceeding permissible limit of 70 dB(A) prescribed by the World Health Organization (W.H.O). Off-peak traffic hour noise levels are within permissible limit except at two locations, Jagnade and HB town square. Significant correlation was obtained when best fit lines generated between measured and predicted values gives R2 of 0.455 for all time intervals. Chi-Square test (?2) was also computed to investigate the noise levels at different squares. The results show that the inhabitants of Nagpur city are exposed to high transportation noise during daytime." |
| 4 |
Appraisal of Noise Level Dissemination Surrounding Mining and Industrial Areas of Keonjhar, Odisha:
Noise mapping is a well-established practice among the European nations, and it has been follow for almost two decades. Recently, as per guidelines of the Directorate General of Mines Safety (DGMS), India, noise mapping has been made mandatory in the mining expanses. This study is an effort to map the noise levels in nearby areas of mines in the northern Keonjhar district. The motive of this study is to quantify the existing A-weighted time-average sound level (LAeq, T) in the study area to probe its effects on the human dwellings and noise sensitive areas with the probability of future development of the mines, roads, and industrial and commercial zone. The LAeq, T was measured at 39 identified locations, including industrial, commercial, residential, and sensitive zones, 15 open cast mines, 3 major highways, and 3 haulage roads. With the utilisation of Predictor LimA Software and other GIS tools, the worked out data is mapped and noise contours are developed for the visualisation and identification of the extent and distribution of sound levels across the study area. This investigation discloses that the present noise level at 60% of the locations in silence and residential zone exposed to significantly high noise levels surpasses the prescribed limit of Central Pollution Control Board (CPCB), India. The observed day and night time LAeq, T level of both zones ranged between 43.2–62.2 dB(A) and 30.5–53.4 dB(A), respectively, whereas, the average Ldn values vary between 32.7 and 51.2 dB(A). The extensive mobility of heavy vehicles adjoining the sensitive areas and a nearby plethora of open cast mines is the leading cause of exceeded noise levels. The study divulges that the delicate establishments like schools and hospitals are susceptible to high noise levels throughout the day and night. A correlation between observed and software predicted values gives R2 of 0.605 for Ld, 0.217 for Ln, and 0.524 for Ldn. Finally, the mitigation measure is proposed and demonstrated using a contour map showing a significant reduction in the noise levels by 0–5.3 dB(A). |
| 5 |
Biomethanation of vegetable market waste in an anaerobic baffled reactor: Effect of effluent recirculation and carbon mass balance analysis
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| 6 |
Extremely Low Frequency Electromagnetic Field (ELF-EMF) and childhood leukemia near transmission lines: A review
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| 7 |
Dynamics of effluent treatment plant during commissioning of activated sludge process unit"
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| 8 |
Recycling and treatment of herbal pharmaceutical wastewater using Scenedesmus quadricuada,
Globally, herbal pharmaceutical industries are among the leading pharmaceutical industries. They generate large volume of wastewater during processing and production, which is highly biodegradable in nature and cannot be discharged into environment as such. Hence efforts are being made to evaluate the toxicity of herbal pharmaceutical effluents using green algae Scenedesmus quadricauda. Physico-chemically treated effluents (PCTEs) as well as biologically treated effluents (BTEs) were observed after the application of S. quadricauda. Also, S. quadricauda showed higher growth rate after the addition of PCTE and BTE. The highest yield of algae was observed in BTE up to 15 days of incubation by synthesis of chlorophyll and cell metabolites, even with 10-100% dilution of effluents. The present study also discusses the evaluation of biotoxicity and recycling on herbal pharmaceutical wastewater along with heavy metal removal. |
| 9 |
Understanding carbon regulation in aquatic systems -Bacteriophages as a model, F1000Research
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| 10 |
“Ozone Induced Biodegradability Enhancement and Colour Reduction of a Complex Pharmaceutical Effluent”
The treatment of a complex pharmaceutical effluent using a combination of ozonation and biological treatment is reported with the use of ozonation as a pre- and posttreatment. Pretreatment facilitated biodegradability index (BI = BOD/COD) enhancement of up to 0.44 along with COD and color reduction of up to 42% and 33%, respectively. Subsequent anaerobic biodegradation of effluent indicated negligible biogas generation; however, aerobic biodegradation of pretreated effluent resulted in COD reduction (73%) and color reduction (62%), which was also indicated by the biokinetic parameters. Further, ozonation as a posttreatment led to higher overall COD (87%) and color (93%) removal. |
| 11 |
Ambient Noise Level Prediction during Festival Season in Metro City of South East Asian Region
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