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Natural Hazards - Indo-Gangetic plains are seismically most vulnerable due to the proximity of adjacent great Himalayan earthquakes and thick alluvium deposits of the Ganga River system. As the... 相似文献
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The present work reports biological neutralization of chlor-alkali industrial effluent by an alkaliphilic bacterium, isolated from the Gujarat coast, which was identified as Enterococcus faecium strain R-5 on the basis of morphological, biochemical and partial 16S rRNA gene sequencing. The isolate was capable of bringing down the pH of waste water from 12.0 to 7.0 within 3 h in the presence of carbon and nitrogen sources, with simultaneous reduction in total dissolved solutes (TDS) up to 19-22%. This bacterium produced carboxylic acid, as revealed by FT-IR analysis, which facilitated neutralization of alkaline effluent. The presence of unconventional raw materials viz. Madhuca indica flowers or sugar cane bagasse as carbon and nitrogen sources could effectively neutralize alkaline effluent and thus making the bioremediation process economically viable. The time required for neutralization varied with size of inoculum. To the best of our knowledge, this is the first report on biological neutralization of a chlor-alkali industrial effluent. 相似文献
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Application of meteorological and vegetation indices for evaluation of drought impact: a case study for Rajasthan, India 总被引：3，自引：1，他引：2
Drought is a serious climatic condition that affects nearly all climatic zones worldwide, with semi-arid regions being especially
susceptible to drought conditions because of their low annual precipitation and sensitivity to climate changes. Drought indices
such as the standardized precipitation index (SPI) using meteorological data and vegetation indices from satellite data were
developed for quantifying drought conditions. Remote sensing of semi-arid vegetation can provide vegetation indices which
can be used to link drought conditions when correlated with various meteorological data based drought indices. The present
study was carried out for drought monitoring for three districts namely Bhilwara, Kota and Udaipur of Rajasthan state in India
using SPI, normalized difference vegetation index (NDVI), water supply vegetation index (WSVI) and vegetation condition index
(VCI) derived from the Advanced Very High resolution Radiometer (AVHRR). The SPI was computed at different time scales of
1, 2, 3, 6, 9 and 12 months using monthly rainfall data. The NDVI and WSVI were correlated to the SPI and it was observed
that for the three stations, the correlation coefficient was high for different time scales. Bhilwara district having the
best correlation for the 9-month time scale shows late response while Kota district having the best correlation for 1-month
shows fast response. On the basis of the SPI analysis, it was found that the area was worst affected by drought in the year
2002. This was validated on the basis of NDVI, WSVI and VCI. The study clearly shows that integrated analysis of ground measured
data and satellite data has a great potential in drought monitoring. 相似文献
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