Environmental impact of plantations in and around the petroleum refinery: a case study

Plantation or green belt (GB) grown around the factories and industrial premises improves the condition of land, mitigates air pollution (as the plants serve as a sink for pollutants and check the flow of dust, etc.), and reduces the level of noise pollution. The software developed by NEERI for the determination of the optimal width of GB in and around an industry is based on the pollution attenuation coefficient of selected plant species of deciduous trees existing in the region. The assessment of the impact of these plantations/green belts of 500-m width in and around a petroleum refinery in the west coast of India is evaluated for reducing/managing various waste generated, and it is observed that the overall efficiency is more than 60%.     

Geomorphological and geophysical approach for locating favorable groundwater zones in granitic terrain, Andhra Pradesh, India

The increasing demand for fresh water has necessitated the exploration for new sources of groundwater, particularly in hard rock terrain, where groundwater is a vital source of fresh water. A fast, cost effective and economical way of exploration is to study and analyze remote sensing data. Interpreted remote sensing data was used to select sites for carrying out surface geophysical investigations. Various geomorphologic units were demarcated and the lineaments were identified by interpretation of remote sensing satellite images. The potential for occurrence of groundwater in the watershed areas was classified as very good, good, moderate and poor by interpreting the images. Sub-surface geophysical investigations, namely vertical electrical soundings, were carried out to delineate potential water-bearing zones. Integrated studies of interpretation of geomorphologic and geophysical data were used to prepare a groundwater potential map. The studies reveal that the groundwater potential of shallow aquifers is due to geomorphologic features and the potential of deeper aquifers is determined by lineaments such as faults and joints.     

Influence of elevated carbon dioxide and temperature on belowground carbon allocation and enzyme activities in tropical flooded soil planted with rice

Changes in the soil labile carbon fractions and soil biochemical properties to elevated carbon dioxide (CO₂) and temperature reflect the changes in the functional capacity of soil ecosystems. The belowground root system and root-derived carbon products are the key factors for the rhizospheric carbon dynamics under elevated CO₂ condition. However, the relationship between interactive effects of elevated CO₂ and temperature on belowground soil carbon accrual is not very clear. To address this issue, a field experiment was laid out to study the changes of carbon allocation in tropical rice soil (Aeric Endoaquept) under elevated CO₂ and elevated CO₂ + elevated temperature conditions in open top chambers (OTCs). There were significant increase of root biomass by 39 and 44 % under elevated CO₂ and elevated CO₂ + temperature compared to ambient condition, respectively. A significant increase (55 %) of total organic carbon in the root exudates under elevated CO₂ + temperature was noticed. Carbon dioxide enrichment associated with elevated temperature significantly increased soil labile carbon, microbial biomass carbon, and activities of carbon-transforming enzyme like β-glucosidase. Highly significant correlations were noticed among the different soil enzymes and soil labile carbon fractions.     

A pilot study on water pollution and characterization of multidrug-resistant superbugs from Byramangala tank, Ramanagara district, Karnataka, India

Urbanization and industrialization has increased the strength and qualities of municipal sewage in Bangalore, India. The disposal of sewage into natural water bodies became a serious issue. Byramangala reservoir is one such habitat enormously polluted in South India. The water samples were collected from four hotspots of Byramangala tank in 3 months. The biochemical oxygen demand (BOD) and bacterial counts were determined. The fecal coliforms were identified by morphological, physiological, and biochemical studies. The antibiotics sensitivity profiling of isolated bacteria were further carried out. We have noticed that a high content of BOD in the tank in all the 3 months. The total and fecal counts were found to be varied from 1.6?×?10⁶ to 8.2?×?10⁶?colony forming unit/ml and >5,500/100 ml, respectively. The variations in BOD and total count were found to be statistically significant at p?>?0.05. Many pathogenic bacteria were characterized and most of them were found to be multidrug resistant. Salmonella showed resistance to cefoperazone, cefotaxime, cefixime, moxifloxacin, piperacillin/tazobactam, co-trimoxazole, levofloxacin, trimethoprim, and ceftazidime. Escherichia coli showed resistance to chloramphenicol, trimethoprim, co-trimoxazole, rifampicin, and nitrofurantoin while Enterobacter showed resistant to ampicillin, cefepime, ceftazidime, cefoperazone, and cefotaxime. Klebsiella and Shigella exhibited multiple drug resistance to conventional antibiotics. Staphylococcus showed resistance to vancomycin, methicillin, oxacillin, and tetracycline. Furthermore, Salmonella and Klebsiella are on the verge of acquiring resistance to even the strongest carbapenems-imipenem and entrapenem. Present study revealed that Byramanagala tank has become a cesspool of multidrug-resistant “superbugs” and will be major health concern in South Bangalore, India.     

Environmental Modeling and Methods for Estimation of the Global Health Impacts of Air Pollution

Air pollution is increasingly recognized as a significant contributor to global health outcomes. A methodological framework for evaluating the global health-related outcomes of outdoor and indoor (household) air pollution is presented and validated for the year 2005. Ambient concentrations of PM2.5 are estimated with a combination of energy and atmospheric models, with detailed representation of urban and rural spatial exposures. Populations dependent on solid fuels are established with household survey data. Health impacts for outdoor and household air pollution are independently calculated using the fractions of disease that can be attributed to ambient air pollution exposure and solid fuel use. Estimated ambient pollution concentrations indicate that more than 80% of the population exceeds the WHO Air Quality Guidelines in 2005. In addition, 3.26?billion people were found to use solid fuel for cooking in three regions of Sub Saharan Africa, South Asia and Pacific Asia in 2005. Outdoor air pollution results in 2.7?million deaths or 23?million disability adjusted life years (DALYs) while household air pollution from solid fuel use and related indoor smoke results in 2.1?million deaths or 41.6?million DALYs. The higher morbidity from household air pollution can be attributed to children below the age of 5 in Sub Saharan Africa and South Asia. The burden of disease from air pollution is found to be significant, thus indicating the importance of policy interventions.     

Real-time bias-adjusted O3 and PM2.5 air quality index forecasts and their performance evaluations over the continental United States

The National Air Quality Forecast Capacity (NAQFC) system, which links NOAA’s North American Mesoscale (NAM) meteorological model with EPA’s Community Multiscale Air Quality (CMAQ) model, provided operational ozone (O₃) and experimental fine particular matter (PM_2.5) forecasts over the continental United States (CONUS) during 2008. This paper describes the implementation of a real-time Kalman Filter (KF) bias-adjustment technique to improve the accuracy of O₃ and PM_2.5 forecasts at discrete monitoring locations. The operational surface-level O₃ and PM_2.5 forecasts from the NAQFC system were post-processed by the KF bias-adjusted technique using near real-time hourly O₃ and PM_2.5 observations obtained from EPA’s AIRNow measurement network. The KF bias-adjusted forecasts were created daily, providing 24-h hourly bias-adjusted forecasts for O₃ and PM_2.5 at all AIRNow monitoring sites within the CONUS domain. The bias-adjustment post-processing implemented in this study requires minimal computational cost; requiring less than 10 min of CPU on a single processor Linux machine to generate 24-h hourly bias-adjusted forecasts over the entire CONUS domain.The results show that the real-time KF bias-adjusted forecasts for both O₃ and PM_2.5 have performed as well as or even better than the previous studies when the same technique was applied to the historical O₃ and PM_2.5 time series from archived AQF in earlier years. Compared to the raw forecasts, the KF forecasts displayed significant improvement in the daily maximum 8-h O₃ and daily mean PM_2.5 forecasts in terms of both discrete (i.e., reduced errors, increased correlation coefficients, and index of agreement) and categorical (increased hit rate and decreased false alarm ratio) evaluation metrics at almost all locations during the study period in 2008.     

NiO/AC催化臭氧氧化去除水中的苯酚

采用低温湿式浸渍法制备了负载氧化镍/活性炭(简称NiO/AC)催化剂。在不同pH、叔丁醇浓度等条件下,对NiO/AC与臭氧联合催化臭氧氧化苯酚的降解效果等进行了研究。用XRD、SEM及BET技术分析了活性炭与催化剂的组成、形貌及结构变化。结果表明,镍以棒状氧化镍的形式负载在活性炭表面,与AC相比,NiO/AC比表面积减少了47.9%。在O3/NiO/AC与苯酚的反应体系中,反应遵循羟基自由基(HO.)机理,苯酚的去除率比单独臭氧氧化提高了29%,且与溶液pH呈正相关。NiO/AC催化性能较稳定,镍离子最大析出浓度仅为7 mg/L,可重复使用。     

水环境中重金属铜暴露下青鳉鱼的行为响应

本研究采用生物行为传感器监测青鳉鱼重金属铜暴露下的行为数据,分析不同暴露浓度(20、10、5、1和0.1 TU)下青鳉鱼的行为响应。20、10、5、1和0.1 TU的暴露浓度下青鳉鱼对重金属污染的行为反应模式符合环境胁迫阈值模型,且不同浓度梯度重金属对青鳉鱼产生不同的行为毒性效应。通过本研究,利用重金属作用下青鳉鱼的行为变化来研究重金属环境胁迫导致的生物行为响应机制,从而得到重金属暴露下生物行为的实时变化过程和趋势,可对水环境生态系统质量进行综合评价。     

草莓蚜虫防治用药对蜜蜂的急性毒性与风险评价

为明确草莓蚜虫防治用药对蜜蜂的影响,按照《化学农药环境安全评价试验准则》和《化学品测试方法》要求测定了20%啶虫脒SP、10%氟啶虫酰胺WG和22%氟啶虫胺腈SC对意大利蜜蜂(Apis mellifera L.)的急性毒性,并采用危害商值(HQ)法进行了风险评价。急性毒性结果显示:20%啶虫脒SP、10%氟啶虫酰胺WG和22%氟啶虫胺腈SC对蜜蜂的急性经口毒性试验结果(48 h-LD50值)分别为4.47μg a.i.·蜂~(-1)、11.2μg a.i.·蜂~(-1)和0.0601μg a.i.·蜂~(-1),对蜜蜂的急性接触毒性试验结果(48 hLD50值)分别为11.0μg a.i.·蜂~(-1)、13.9μg a.i.·蜂~(-1)和0.643μg a.i.·蜂~(-1)。按《化学农药环境安全评价试验准则》中毒性等级划分标准,20%啶虫脒SP、10%氟啶虫酰胺WG和22%氟啶虫胺腈SC对蜜蜂的毒性等级分别为中毒、低毒和高毒。风险评价结果表明,22%氟啶虫胺腈SC对蜜蜂存在中等风险(HQ值为1 622),20%啶虫脒SP和10%氟啶虫酰胺WG对蜜蜂的风险为低风险,其HQ值分别为40.3和6.70。因此,草莓生产中可优先选用10%氟啶虫酰胺WG来防治蚜虫,20%啶虫脒SP次之。而使用22%氟啶虫胺腈SC时,应注意采取措施降低其对蜜蜂的毒性风险,以免造成危害。