Characteristics of Iron Ore Tailing Slime in India and Its Test for Required Pond Size

The physical and chemical nature of the tailingslime depends on milling operations and water contentin the effluent. The characteristics of the tailingsdictate the type of disposal facility required.Characteristics of the tailings, transportation frombeneficiation plants and disposal system are described.Studies on tailing slime have been carried out at ironore mines in Orissa and the results are discussed. Thetailings contain toxic elements and find their wayinto the water environment. Sedimentation test was carriedout on tailings and the area required for tailing pondwas found to be 3155 m² in comparison to10 000 m² obtained from the use of an empiricalequation. Provision of tailing pond for the disposalof tailings is a conservation of resources in additionto pollution control, and sedimentation test is essentialfor required pond size calculation.     

Sources of air pollution due to coal mining and their impacts in Jharia coalfield

Indian coal consumption is about 5.5% of the world and the share of coal as energy went up to 66%. The increasing trend of opencast coal mining lead to release of dust and gaseous pollutants. The Indian reserve of coking coal is mainly located in Jharia coalfield and having reserves upto a depth of 1219m are 19339 Mt. The coalfield is subjected to intensive mining activities and accounts for 30% of the total Indian coal production. Coal mining in Jharia coalfield and the sources of air pollution along with the production of air pollutants have been described. The dust particles act as centres of catalysis for many of the chemical reactions taking place in the atmosphere. Characteristics and effects of the pollutants have been discussed. An estimate of the dust generated and discharged into the atmosphere can be made by using emission factor or prediction type equations. It is disirable that this exercise is to be undertaken in planning stage so that adequate and appropriate mitigating measures can be incorporated into the project at least cost.     

A geographic information system-based socioeconomic impact assessment of the broadening of national highway in Sikkim Himalayas: a case study

Socioeconomic impact assessment (SEIA) is an undermined area of environmental impact assessment of highway projects. The problem becomes even more pronounced in remote and difficult terrains. The challenge in data gathering and impact prediction in mountainous areas can be mitigated using Geographic Information System (GIS). In this paper, an attempt has been made to apply the techniques of GIS and Analytic Hierarchy Process (AHP) to perform a rapid SEIA on broadening of national highway in a mountainous terrain like Sikkim. The proposed spatial impact model shows the distribution of impacts of highway broadening on socioeconomic attributes and generates a composite impact inventory map. The composite impact is found to be slightly to moderately beneficial for the study area. Cross-validation of Empirical Bayesian Kriging (EBK) and sensitivity analysis have also been carried out for model evaluation. Cross-validation results show a reliable spatial interpolation. Sensitivity analysis shows a robust decision model and identifies the socioeconomic attributes to which the spatial impact model is sensitive. The study presents a novel methodology of rapid spatial SEIA.     

Lysimeter Test of Coke Plant Effluent Disposal to Land in India

ABSTRACT

From the Indian national point of view, the importance of coal carbonizing industries is great and growing. These industries produce huge quantities of highly polluted effluents and discharge them into rivers without proper treatment. A large coke plant of Bharat Coking Coal Ltd. has been surveyed, and the impact of its effluent on surface water quality is discussed. Approximately 175-200 m³ of effluents are discharged from the plant every day. Land application has been considered as a low-cost means of disposal of coke oven effluents. Column lysimeters were prepared by collecting soil from a nearby agricultural field, putting it layerwise into a column, and compacting it carefully to simulate the original in situ conditions. Raw effluents, diluted effluent, and water (as a blank) were applied to the three lysimeters twice a week with a 5 cm flooding. Upon application of diluted effluent (1:1) into lysimeter No. 2, the leachate collected at 190 cm depth was within the tolerance limit of drinking water standard (IS 10,500). The impact of raw and diluted effluent on groundwater quality and soil are discussed. The renovation efficiency of living filter (lysimeter No. 2) was 99.37% for oil and grease, 86.92% for COD, and 53.22% for TDS, and it is estimated that 2.73 hectares of land can be irrigated with the effluents of the coke plant without deteriorating groundwater and soil quality.     

Dietary arsenic consumption and urine arsenic in an endemic population: response to improvement of drinking water quality in a 2-year consecutive study

We assessed the association between arsenic intake through water and diet, and arsenic levels in first morning-void urine under variable conditions of water contamination. This was done in a 2-year consecutive study in an endemic population. Exposure of arsenic through water and diet was assessed for participants using arsenic-contaminated water (≥50 μg L^?1) in a first year (group I) and for participants using water lower in arsenic (<50 μg L^?1) in the next year (group II). Participants with and without arsenical skin lesions were considered in the statistical analysis. Median dose of arsenic intake through drinking water in groups I and II males was 7.44 and 0.85 μg kg body wt.^?1 day^?1 (p <0.0001). In females, it was 5.3 and 0.63 μg kg body wt.^?1 day^?1 (p <0.0001) for groups I and II, respectively. Arsenic dose through diet was 3.3 and 2.6 μg kg body wt.^?1 day^?1 (p?=?0.088) in males and 2.6 and 1.9 μg kg body wt.^?1 day^?1 (p?=?0.0081) in females. Median arsenic levels in urine of groups I and II males were 124 and 61 μg L^?1 (p?=?0.052) and in females 130 and 52 μg L^?1 (p?=?0.0001), respectively. When arsenic levels in the water were reduced to below 50 μg L^?1 (Indian permissible limit), total arsenic intake and arsenic intake through the water significantly decreased, but arsenic uptake through the diet was found to be not significantly affected. Moreover, it was found that drinking water mainly contributed to variations in urine arsenic concentrations. However, differences between male and female participants also indicate that not only arsenic uptake, but also many physiological factors affect arsenic behavior in the body and its excretion. As total median arsenic exposure still often exceeded 3.0 μg kg body wt.^?1 day^?1 (the permissible lower limit established by the Joint Expert Committee on Food Additives) after installation of the drinking water filters, it can be concluded that supplying the filtered water only may not be sufficient to minimize arsenic availability for an already endemic population.