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531.
Mridul Chetia Soumya Chatterjee Saumen Banerjee Manash J. Nath Lokendra Singh Ravi B. Srivastava Hari P. Sarma 《Environmental monitoring and assessment》2011,173(1-4):371-385
Distribution of arsenic (As) and its compound and related toxicology are serious concerns nowadays. Millions of individuals worldwide are suffering from arsenic toxic effect due to drinking of As-contaminated groundwater. The Bengal delta plain, which is formed by the Ganga?CPadma?CMeghna?CBrahmaputra river basin, covering several districts of West Bengal, India, and Bangladesh is considered as the worst As-affected alluvial basin. The present study was carried out to examine As contamination in the state of Assam, an adjoining region of the West Bengal and Bangladesh borders. Two hundred twenty-two groundwater samples were collected from shallow and deep tubewells of six blocks of Golaghat district (Assam). Along with total As, examination of concentration levels of other key parameters, viz., Fe, Mn, Ca, Na, K, and Mg with pH, total hardness, and SO $_{4}^{2-}$ , was also carried out. In respect to the permissible limit formulated by the World Health Organization (WHO; As 0.01 ppm, Fe 1.0 ppm, and Mn 0.3 ppm for potable water), the present study showed that out of the 222 groundwater samples, 67%, 76.4%, and 28.5% were found contaminated with higher metal contents (for total As, Fe, and Mn, respectively). The most badly affected area was the Gamariguri block, where 100% of the samples had As and Fe concentrations above the WHO drinking water guideline values. In this block, the highest As and Fe concentrations were recorded 0.128 and 5.9 ppm, respectively. Tubewell water of depth 180 ± 10 ft found to be more contaminated by As and Fe with 78% and 83% of the samples were tainted with higher concentration of such toxic metals, respectively. A strong significant correlation was observed between As and Fe (0.697 at p < 0.01), suggesting a possible reductive dissolution of As?CFe-bearing minerals for the mobilization of As in the groundwater of the region. 相似文献
532.
Application of drastic model and GIS: for assessing vulnerability in hard rock granitic aquifer 总被引:2,自引:0,他引:2
Ranjeet Kumar Prasad V. S. Singh S. K. G. Krishnamacharyulu Pallavi Banerjee 《Environmental monitoring and assessment》2011,176(1-4):143-155
Geographic information system (GIS) has become one of the leading tools in the field of hydrogeological science that helps in assessing, monitoring, and conserving groundwater resources. Groundwater is a finite resource, which is being overexploited due to increase in demand over the years leading to decrease in its potentiality. In the present study, DRASTIC model has been used to prepare groundwater vulnerable zone in hard rock aquifer of granitic terrain. The main objective is to determine susceptible zone for groundwater pollution by integrating hydrogeological layers in GIS environment. The layers such as depth of aquifer, recharge, aquifer yield, soil type, topography, vadose zone, and transmissivity are incorporated in the DRASTIC model. The final output of the map shows that around 60% of the area falls under low to no risk of pollution zone. The high risk of pollution zones are mostly present towards the margin of southeastern periphery. The lower part of the basin as well as small area on northern side falls under moderate risk of pollution zone. For the assessment of groundwater pollution zone, 24 groundwater samples have been collected from different vulnerable zones. The chemical analysis of sample shows that the southeastern margin of basin has relatively high concentration of nitrate as compared to other parts of the basin. It is present in high pollution zone as well as moderate pollution zone. The present model can be used for assessment and management of groundwater. 相似文献
533.
In this paper a PSIAC-based multi-parameter fuzzy pattern recognition (MPFPR) model is proposed and applied for classifying and ranking the potential soil erosion (PSE). In this approach, standard value matrix is used to define the membership degrees of each catchment to each class and the feature values are used for alternative ranking. The characteristic of PSE for each class is expressed by linguistic variables. The proposed method is straightforward, easy to understand, very practical, and its results may easily be interpreted. To assess the performance of the model, the results of PSIAC MPFPR and original PSIAC method are interpreted and compared with the observed data. It is shown that the proposed approach reflects the fuzzy nature of the soil erosion more efficiently and is quite robust for application in real world cases. 相似文献
534.
Carnevale C Finzi G Pisoni E Singh V Volta M 《Journal of environmental monitoring : JEM》2011,13(12):3437-3447
Air quality forecasting is an important issue in environmental research, due to the effects that air pollutants have on population health. To deal with this topic, in this work an integrated modelling system has been developed to forecast daily maximum eight hours ozone concentrations and daily mean PM10 concentrations, up to two days in advance, over an urban area. The presented approach involves two steps. In the first step, artificial neural networks are identified and applied to get point-wise forecasting. In the second step, the forecasts obtained at the monitoring station locations are spatially interpolated all over the domain using the cokriging technique, which allows to improve the spatial interpolation in the absence of densely sampled data. The integrated modelling system has been then applied to a case study over Northern Italy, performing a validation over space and time for the year 2004 and analyzing if the limit values for the protection of human health set by the European Commission are respected. The presented approach represents a fast and reliable way to provide decision makers and the general public with air quality forecasting, and to support prevention and precautionary measures. 相似文献
535.
Afzal Shadma Sharma Deepa Singh Nand K. 《Environmental science and pollution research international》2021,28(30):40275-40287
Environmental Science and Pollution Research - Recently the applications of engineered nanoparticles in the agricultural sector is increased as nano-pesticides, nano-fertilizers, nanocarrier for... 相似文献
536.
Malik Vivek Singh Ravindra Khaiwal Rattan Preety Dayal Devi Attri Savita Verma 《Environmental science and pollution research international》2021,28(23):29085-29095
Environmental Science and Pollution Research - This study investigates the effect of environmental risk factors among North Indian children aged between 6 and 16 years associated with body mass... 相似文献
537.
Banerjee Aditya Singh Ankur Roychoudhury Aryadeep 《Environmental science and pollution research international》2021,28(30):40220-40232
Environmental Science and Pollution Research - Ingestion of fluoride through consumption of contaminated food grains has been regarded to be hazardous for consumer health. The current study... 相似文献
538.
Bhattacharya Amrik Sadaf Ayesha Dubey Swati Singh Rajesh P. Khare Sunil Kumar 《Environmental science and pollution research international》2021,28(34):46423-46430
Environmental Science and Pollution Research - In the present study, fermentative production of bacterial nanocellulose (BNC) by using Komagataeibacter xylinus strain SGP8 and characterization of... 相似文献
539.
Singh Nishi Kumari Choudhary Sangeeta 《Environmental science and pollution research international》2021,28(42):58819-58836
Environmental Science and Pollution Research - Hydrocarbon is a primary source of energy in the current urbanized society. Considering the increasing demand, worldwide oil productions are declining... 相似文献
540.
Markandeya Verma Pradeep Kumar Mishra Vibhuti Singh Neeraj Kumar Shukla Sheo Prasad Mohan Devendra 《Environmental science and pollution research international》2021,28(9):10536-10551
Environmental Science and Pollution Research - The present work aims to investigate seasonal variations in air pollution levels in Lucknow and assess the ambient air quality of the city together... 相似文献