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931.
Avijit?DasEmail author KVSS?Krishna Rajeev?Kumar Anindya?Das Siladitya?Sengupta Joy?Gopal?Ghosh 《Environmental science and pollution research international》2016,23(22):22454-22466
Lead isotopic ratios (LIR) of eight common food items, street dust, coal, diesel, sediments, lead ore and rainwater from India have been reported for the first time in this paper. This study characterized the source and extent of lead pollution in the different foodstuff consumed in Kolkata, a major metropolis of eastern India. The atmospheric lead input to the food items, sold openly in busy roadside markets of the city, has been quantified. The mean 207/206 and 208/206 LIRs of the eight food items ranged from 0.8847 to 0.8924 and 2.145 to 2.167, respectively. Diesel had the highest mean 207/206 and 208/206 values of 0.9015 and 2.1869, respectively, apart from the lead ore. The food items had a mean lead concentration between 3.78 and 43.35 mg kg?1. The two ratio scatter plots of all the different environmental matrices were spread linearly between the uncontaminated Ichapur sediment and diesel. The 207/206 LIRs of the coal with a mean of 0.8777 did not fall in the linear trend, while the street dust and food samples overlapped strongly. The rainwater sample had a 207/206 LIR of 0.9007. Contaminated sediments in Dhapa, the repository of the city’s municipal garbage, had a mean 207/206 LIR of 0.8658. The corresponding value obtained from the sewage-fed vegetable grown there was 0.8058. The present study indicated that diesel was one of the main contributor to Pb pollution. The atmospheric lead contribution to the food items was in the range of 68.48–86.66 %. 相似文献
932.
Anjil Kumar Srivastava Ravi Ranjan Kumar Ashok Kumar Singh 《Environmental science and pollution research international》2014,21(24):13979-13986
Municipal solid wastes (MSW) are unavoidable sources of environmental pollution. Improper disposal of municipal waste results in the leaching of toxic metals and organic chemicals, which can contaminate the surface and ground water leading to serious health hazard. In this study, the toxic effects of the leachate prepared from municipal solid waste samples were examined in root meristem cells of barley (Hordeum vulgare L.) at various stages of cell cycle, i.e., G1, S, and G2. Seeds of barley were exposed to 2.5, 5, and 10 % of leachates in soil and aqueous media in 48 h at different cell cycle stages. The physicochemical data of the present study revealed that municipal solid waste leachate contains high amount of heavy metals, which significantly affected growth and physiological activities of barley. Significant inhibition in hypocotyl length, germination, and mitotic index were observed at all concentration of leachate treatment. Induction of chromosomal aberrations (CA’s) and micronuclei (MN) formation were also observed with different concentrations of leachate treatment at 7, 17, and 27 h of presoaking durations, which falls in G1, S, and G2 phase of the cell cycle, respectively. Also, exposure of leachate at S phase of the cell cycle had significant effects in barley through chromosomal aberration and micronuclei formation. 相似文献
933.
Robert Paine Carlos Szembek David Heinold Eladio Knipping Naresh Kumar 《Journal of the Air & Waste Management Association (1995)》2014,64(12):1390-1402
Emissions of pollutants such as SO2 and NOx from external combustion sources can vary widely depending on fuel sulfur content, load, and transient conditions such as startup, shutdown, and maintenance/malfunction. While monitoring will automatically reflect variability from both emissions and meteorological influences, dispersion modeling has been typically conducted with a single constant peak emission rate. To respond to the need to account for emissions variability in addressing probabilistic 1-hr ambient air quality standards for SO2 and NO2, we have developed a statistical technique, the Emissions Variability Processor (EMVAP), which can account for emissions variability in dispersion modeling through Monte Carlo sampling from a specified frequency distribution of emission rates. Based upon initial AERMOD modeling of from 1 to 5 years of actual meteorological conditions, EMVAP is used as a postprocessor to AERMOD to simulate hundreds or even thousands of years of concentration predictions. This procedure uses emissions varied hourly with a Monte Carlo sampling process that is based upon the user-specified emissions distribution, from which a probabilistic estimate can be obtained of the controlling concentration. EMVAP can also accommodate an advanced Tier 2 NO2 modeling technique that uses a varying ambient ratio method approach to determine the fraction of total oxides of nitrogen that are in the form of nitrogen dioxide. For the case of the 1-hr National Ambient Air Quality Standards (NAAQS, established for SO2 and NO2), a “critical value” can be defined as the highest hourly emission rate that would be simulated to satisfy the standard using air dispersion models assuming constant emissions throughout the simulation. The critical value can be used as the starting point for a procedure like EMVAP that evaluates the impact of emissions variability and uses this information to determine an appropriate value to use for a longer term (e.g., 30-day) average emission rate that would still provide protection for the NAAQS under consideration. This paper reports on the design of EMVAP and its evaluation on several field databases that demonstrate that EMVAP produces a suitably modest overestimation of design concentrations. We also provide an example of an EMVAP application that involves a case in which a new emission limitation needs to be considered for a hypothetical emission unit that has infrequent higher-than-normal SO2 emissions.
ImplicationsEmissions of pollutants from combustion sources can vary widely depending on fuel sulfur content, load, and transient conditions such as startup and shutdown. While monitoring will automatically reflect this variability on measured concentrations, dispersion modeling is typically conducted with a single peak emission rate assumed to occur continuously. To realistically account for emissions variability in addressing probabilistic 1-hr ambient air quality standards for SO2 and NO2, the authors have developed a statistical technique, the Emissions Variability Processor (EMVAP), which can account for emissions variability in dispersion modeling through Monte Carlo sampling from a specified frequency distribution of emission rates. 相似文献
934.
Wazir Singh Lakra Uttam Kumar Sarkar Rupali Sani Kumar Ajay Pandey Vineet Kumar Dubey Om Prakash Gusain 《The Environmentalist》2010,30(4):306-319
In the present communication habitat ecology, species diversity; distribution and different indices of fish biodiversity management
were studied in a Central India river (River Betwa, a tributary of River Ganga basin approved under India’s first river linking
plan). Correlation between fish species richness with the hydrological attributes showed good relationship and water depth,
dissolved oxygen and pH were found the most important variables in shaping fish assemblage. Altogether, sixty-three fish species
belonging to 20 families and 45 genera were collected from five sampling stations spread along the upstream, mid stream and
lower streams. Cyprinids were the most dominated group represented by 26 species belonging to 15 genera, followed by Bagridae
(6 species from 3 genera), and Schilbeidae (4 species from 4 genera). The distribution of fish showed interesting pattern
and about 10% species were common to all the sites showing long migration range. Shannon-Weiner diversity index showed considerable
variation and ranged from 1.89 to 3.51. Out of 63 species status of 10 species were not known due to data deficit, 29 categorized
as lower risk, 14 as vulnerable, 8 as endangered, while the remaining two species were introduced. Our study shows that the
River supports considerable diversity of the fishes and is important for conservation and about 34% fish fauna is threatened
being either vulnerable or endangered. We assessed that the river supports considerable percentage of food fish (89.47), ornamental
fish (49.12%) and sport fish (5.26%). Among the eight major types of fish habitats identified along the entire stretch of
river, open river, shallow water and deep pools were habitats contributing maximum diversity. Fish species richness (FSR)
were significantly different (P < 0.05) in all the habitats except channel confluence and scour pool. Trophic niche model may be useful for assessing altered
as well as less altered fish habitat of the tropical rivers. Since this river will be interlinked in near future, this study
would be useful for conservation planning and management and also for future assessment after interlinking. Issues related
to various threats to aquatic environment and conservation management strategies have been discussed. 相似文献
935.
936.
Jaya Kumar S Naik KA Ramanamurthy MV Ilangovan D Gowthaman R Jena BK 《Journal of environmental management》2008,89(1):35-44
The 26th December 2004 Indian Ocean tsunami devastated coastal regions of the Indian subcontinent. Andaman and Nicobar Islands, coastal stretches of Tamil Nadu, Andhra Pradesh and Kerala were the most affected regions of India. Changes in the beach profiles, long shore currents, breaking wave characteristics in the surf zone at selected locations along the Tamil Nadu coast were studied during January, April, October 2005 and January 2006. Long shore sediment transport rates were estimated from the observed parameters. Studies were carried out earlier (1995-1996 and 1998) to understand the coastal environment over a one-year cycle in the study region. The post-tsunami observations were compared with the earlier studies to establish the variations in the littoral environment and to ascertain the normalcy of the littoral environment in the post-tsunami scenario. From the changes in the beach profiles, the shoreline was observed to recede by about 20m and built-up of backshore by about 0.5m at most locations. Observations from the field investigations and comparisons with earlier studies along this stretch of the coastline indicate that the coastline is yet to return completely to normalcy. 相似文献
937.
This paper provides baseline information about the total annual dust fall, and its constituents and seasonal variation, from a sub-tropical opencast coalmine area in Bina, India. Dust samples were collected monthly for 2 years (June 2002-May 2004) from five sampling sites in the region and analyzed in the laboratory for water-soluble and -insoluble matter. Water-insoluble components constituted the major fraction of the total annual dust fall. Two-way ANOVA indicated significant variations in dust fall at different sites, over the months and in their interactions. The dust deposition rate was highest during summer (March-June), followed by winter (November-February) and lowest in the rainy season (July-October). Maximum dust fall was observed near the coal handling plant (at site 2) followed by the receiving pit of the coal handling plant (site 3), near the main sub-station (site 4), Jawahar colony (site 1) and Gharasari village (site 5). An inverse and significant relation was observed between dust fall and precipitation. Our studies have shown that the main residential areas are experiencing higher levels of dust fall which makes them unsuitable for living. We suggest that residential areas should be moved farther away from the mining area in the opposite direction of prevalent winds. 相似文献
938.
Revised algorithm for estimating light extinction from IMPROVE particle speciation data 总被引:14,自引:0,他引:14
Pitchford M Maim W Schichtel B Kumar N Lowenthal D Hand J 《Journal of the Air & Waste Management Association (1995)》2007,57(11):1326-1336
The Interagency Monitoring of Protected Visual Environments (IMPROVE) particle monitoring network consists of approximately 160 sites at which fine particulate matter (PM2.5) mass and major species concentrations and course particulate matter (PM10) mass concentrations are determined by analysis of 24-hr duration sampling conducted on a 1-day-in-3 schedule A simple algorithm to estimate light extinction from the measured species concentrations was incorporated in the 1999 Regional Haze Rule as the basis for the haze metric used to track haze trends. A revised algorithm was developed that is more consistent with the recent atmospheric aerosol literature and reduces bias for high and low light extinction extremes. The revised algorithm differs from the original algorithm in having a term for estimating sea salt light scattering from Cl(-) ion data, using 1.8 instead of 1.4 for the mean ratio of organic mass to measured organic carbon, using site-specific Rayleigh scattering based on site elevation and mean temperature, employing a split component extinction efficiency associated with large and small size mode sulfate, nitrate and organic mass species, and adding a term for nitrogen dioxide (NO2) absorption for sites with NO2 concentration information. Light scattering estimates using the original and the revised algorithms are compared with nephelometer measurements at 21 IMPROVE monitoring sites. The revised algorithm reduces the underprediction of high haze periods and the overprediction of low haze periods compared with the performance of the original algorithm. This is most apparent at the hazier monitoring sites in the eastern United States. For each site, the PM10 composition for days selected as the best 20% and the worst 20% haze condition days are nearly identical regardless of whether the basis of selection was light scattering from the original or revised algorithms, or from nephelometer-measured light scattering. 相似文献
939.
Sanjena Narayanasamydamodaran Jian e Zuo Haiteng Ren Nawnit Kumar 《Frontiers of Environmental Science & Engineering》2021,15(4):66
940.
An eco-sustainable green approach for heavy metals management: two case studies of developing industrial region 总被引:2,自引:0,他引:2
Rai PK 《Environmental monitoring and assessment》2012,184(1):421-448
Multifaceted issues or paradigm of sustainable development should be appropriately addressed in the discipline of environmental
management. Pollution of the biosphere with toxic metals has accelerated dramatically since the beginning of the Industrial
Revolution. In present review, comparative assessment of traditional chemical technologies and phytoremediation has been reviewed
particularly in the context of cost-effectiveness. The potential of phytoremediation and green chemicals in heavy metals management
has been described critically. Further, the review explores our work on phytoremediation as green technology during the last
6 years and hand in hand addresses the various ecological issues, benefits and constraints pertaining to heavy metal pollution
of aquatic ecosystems and its phytoremediation as first case study. Second case study demonstrates the possible health implications
associated with use of metal contaminated wastewater for irrigation in peri-urban areas of developing world. Our researches
revealed wetland plants/macrophytes as ideal bio-system for heavy metals removal in terms of both ecology and economy, when
compared with chemical treatments. However, there are several constraints or limitations in the use of aquatic plants for
phytoremediation in microcosm as well as mesocosm conditions. On the basis of our past researches, an eco-sustainable model
has been proposed in order to resolve the certain constraints imposed in two case studies. In relation to future prospect,
phytoremediation technology for enhanced heavy metal accumulation is still in embryonic stage and needs more attention in
gene manipulation area. Moreover, harvesting and recycling tools needs more extensive research. A multidisciplinary research
effort that integrates the work of natural sciences, environmental engineers and policy makers is essential for greater success
of green technologies as a potent tool of heavy metals management. 相似文献