Low cost quantitative arsenic determination kit: A method by using silver nitrate

Arsenic sometimes found in ground water which has adverse effect on human health at levels as low as 10μg/L. Arsenic is known to be one of the most toxic element that cannot be destroyed once it has entered to the environment. It is a dangerous poison at high doses but can cure diseases such as syphilis and leukaemia at low doses. The present study comprises a low cost technique for determination of arsenic concentration in groundwater up to 1000μg/L. The method is based on the reaction of arsenic (V) with potassium iodide and stannous chloride in concentrated hydrochloric acid medium to convert to arsenic (III) and needs 15 to 20 minutes time for complete conversion. After reaction with the granulated zinc (arsenic free), the evolved arsine gas is passed through wet cotton wool of lead acetate for absorbing any sulphide impurities and is finally absorbed by wet filter paper of silver nitrate which gives brown colour. The intensity of the colour varies with respect to the arsenic concentration present in ground water. A master colour chart is prepared by the known arsenic standard solution from 0 to 1000 μg/L for measuring the concentration range of arsenic in contaminated ground water. The quantitative arsenic determination is done with the help of colorimetric study. The absorbed colour of filter paper is thoroughly scanned and Red, Green and Blue (R-G-B) values are obtained by colour picking technique with the help of the software ‘Microsoft Paint’ under the operating system ‘Microsoft Windows 7’. The known arsenic concentrations are plotted against the R-G-B values of the corresponding absorbed colour and three master curves are drawn by the software ‘Mat lab’ for measuring the exact concentration of arsenic in groundwater. For validation, arsenic contamination test is conducted for the ground water samples collected from different areas of 24 Parganas district using our very low cost kit and other costly instruments like Digital Arsenator and Atomic Absorption Spectrometer.     

Comprehensive Analysis of Fish Assemblages in Relation to Seasonal Environmental Variables in an Estuarine River of Indian Sundarbans

Fish distribution in relation to environmental variables was investigated in the Matla River of Sundarban estuarine system. A total of 64 brackish water species belonging to 38 families showing tropical and subtropical affinities were obtained upon monthly sampling of 1 year. The most abundant species were Harpadon nehereus, Gudusia chapra, Coilia neglecta, Coilia ramcarati and Liza parsia. Fish assemblages showed significant seasonal variation as was revealed from MANOVA. MDS ordination plot based on similarity in the fish assemblages revealed that premonsoonal season was distinguishable from the monsoonal and postmonsoonal seasons. Notable differences were also evident between monsoon and postmonsoon. Canonical correspondence analysis indicated that salinity, acidity, inorganic phosphate concentration and dissolved oxygen were the most important environmental variables in determining the observed variation in fish assemblages. Seasonal succession of fish populations may be related to differences in life cycle and adaptation to prevalent ecological conditions. The study therefore suggests that environmental variations in terms of changing salinity and dissolved oxygen have significant influence in structuring estuarine piscine community in this region.     

Appraisal of the prevalence of severe tropical storms over Indian Ocean by screening the features of tropical depressions

Natural Hazards - Tropical cyclones are one of the nature’s most violent manifestations and potentially the deadliest of all meteorological phenomena. It is a unique combination of violent...     

Fractionation of rare-earth elements in plants during experimental growth in varied clay substrates

The distribution and content of rare-earth elements (REEs) were determined in two radish species, the cultivated Raphanus sativus and the wild Raphanus raphanistrum, that were grown under laboratory-controlled conditions, in three substrates consisting of illite for one and two smectite substrates for the others, with the two smectite substrates being characterised by different porosities. The plants were split into leaves and stems + roots for analysis. The results indicate that both species take up systematically higher amounts of REEs when grown in the illite substrate, even considering that the smectite equivalent contains about three times more REEs. The REE uptake is also more plant species than mineral composition dependent: R. raphanistrum takes up 3.5–6.7 times more REEs than R. sativus, depending on the substrate, its porosity and the considered plant segments. Increased substrate porosity favours the take up of the REEs, but no specific uptake is observed in leaves relative to that in the combined stems and roots. The transfer of the REEs from minerals to plant organs does not appear to induce systematically identical patterns: (1) in the case of R. sativus, a positive Eu anomaly is visible in all patterns from both segment groups grown in both substrates. When grown in illite, the heavy REEs are also enriched in the stems and roots, which has not been observed in any other organ or in the other substrate and (2) in the case of R. raphanistrum, a very significant positive Gd anomaly, which is not expected to fractionate relative to the other REEs as do Ce and Eu, is observed in all segments of the plants grown in both substrates. A slight negative Ce anomaly is also visible in some of the REE patterns, suggesting some changes in the oxidation–reduction conditions in the substrates near the roots during plant growth. The comparison of the REE patterns from leaves relative to those of the roots + stems shows that those of R. raphanistrum grown in illite provide a spectrum that is very specific with significant deficits in La, Ce, Gd, Tm, Yb and Lu in the leaves. In the other cases, the patterns do not outline significant differences except for R. sativus grown in illite, in which the leaves are enriched in light and medium REEs from La to Gd relative to the stems + roots.     

An investigation on the dynamic and scale interactive processes for estimating the predictability of cloudburst over elevated orography

The cloudburst is defined as a heavy downpour at a very high rainfall rate over small spatio-temporal scale. The Indian states of Uttarakhand (30°15′N; 79°15′E) and Himachal Pradesh (32°29′N; 75°10′E) are prone to cloudburst due to its geographical setup. The large-scale monsoon flow along with elevated orography makes cloudburst phenomena frequent a well as severe over the regions. However, cloudburst and the heavy rainfall events occasionally, become difficult to distinguish. The present study attempts to identify the processes associated with cloudburst over elevated orography and compare it with one of the most debated event of 2013 which was reported as heavy rainfall but, not a cloudburst by Indian Meteorological Department (IMD). The temporal variations of rainfall and cloud-top pressure (CTP) are considered to identify the genesis of the event. The vertical developments of the system along with large-scale circulation pattern are estimated in the present study. The result of the study reveals that the mid-tropospheric dry entrainment, low-level temperature inversion and cloud height clearly distinguish the “cloudburst” and “heavy rainfall” events and confirms that the system of 2013 was indeed a heavy rainfall event and not a cloudburst.     

Probabilistic assessment for seismic performance of port structures

Past experience has shown that ports are often susceptible to severe damage during earthquakes. From field damage data of 1995 Kobe earthquake, it is observed that the seismic behavior of port structures shows significant variability. In this study, a 2D numerical model, representing PC1 berth located in Port Island, Kobe and damaged in the 1995 Kobe earthquake, has been developed and used to simulate seismic behavior. It has been found that the uncertainties in the friction angle and the shear modulus of reclaimed soil contribute most to the variability of the residual horizontal displacement (RHD) response of the quay wall of port structures. To investigate the propagation of uncertainties of soil–structure system to the quay wall, a tornado diagram and a first-order second-moment analysis are used. Uncertainty of ground motions has also been investigated. Based on the results, design considerations have been provided.     

Rare-earths in size fractions and sedimentary rocks of Pennsylvanian-Permian age from the mid-continent of the U.S.A.

The REE (rare-earth) contents of sixty-three <2 μ fractions of Pennsylvanian and Permian platform sediment from the mid-continent of the U.S.A. vary considerably (ΣREE = 46–439 ppm;La/ Lu = 5.2–15.7; correlation coefficient of REE with La/Lu = 0.89), but the Eu/Sm ratios are nearly constant even in reducing environments that concentrate U (0.16–0.22). There is no correlation of REE content to clay mineralogy.Lower Permian <2 μ fractions from continental to nearshore marine sediment in Oklahoma have higher REE content (244–261 ppm) than marine facies in Kansas (46–140ppm), but <2μ Upper Permian fractions in an evaporite basin have constant but high REE content (288–281 ppm; one = 153—ppm). All Pennsylvanian <2 μ fractions from Oklahoma have high REE content (209–439 ppm), and fractions from Kansas cyclothems have variable REE content (86–438 ppm). REE content in the <2 μ fractions is inherited from the provenance, but is modified by ion exchange during weathering, transportation, or deposition. Exchangable REE tend to be concentrated in clay minerals in basic environments, but removed in acid environments.Sand and gravel-size fractions consist mostly of quartz or chert so their REE content is low (7.9–40.6 ppm) although heavy minerals may contribute a large fraction of the REE content. Unexpectedly, silt-size fractions have REE contents (74–355 ppm) that are usually lower but similar to their <2 μ fractions, and the REE contents do not correlate to clay mineral/quartz ratios. The interpretation of REE content in sedimentary rocks needs to be done cautiously due to the above factors.