Papers by Shivam Mani tripathi
Water Resources Research, 2010
Using gridded daily rainfall observations, and monthly satellite land surface data sets, the conn... more Using gridded daily rainfall observations, and monthly satellite land surface data sets, the connection between land use change and monsoonal rainfall climatology is analyzed. A combination of statistical analysis involving genetic algorithm (GA), empirical orthogonal function (EOF), and causal discovery algorithms (CDA) are used. Study objectives are (1) to identify regional trends in the observed precipitation data over the Indian summer monsoon region, (2) to investigate the relation between land use change/agriculture intensification and changes in rainfall, and (3) to explore whether land use change and agricultural intensification have caused change in the rainfall climatology. The satellite-based vegetation data set shows significant agricultural intensification over northern India. For the period just before start of the summer monsoon season (April and May), the normalized differential vegetation index (NDVI) shows an increase only over Peninsular India. The EOF-and GA-based analysis identified the strongest climatic signal for monsoon rainfall with an increasing trend over the east central regions of India and a decreasing trend in monsoon seasonal precipitation over north/northwest India. The areas of decreasing rainfall coincided with regions of agricultural intensive land use and are analyzed further. The correlation and the causal data analysis suggest that premonsoon (March-April) vegetation affects July month precipitation over peninsular India. In particular, a negative relationship exists between them. The results are more robust over peninsular and northern India indicating that an increase in NDVI has possibly weakened the early monsoon rainfall in this region. The results of this study suggest that land use change associated with agricultural intensification could be reducing the summer monsoon rainfall over certain regions of India.
Innovative Infrastructure Solutions, 2021
Toxicity due to the presence of heavy metals in ground and surface water due to the release of ef... more Toxicity due to the presence of heavy metals in ground and surface water due to the release of effluents from industries holds the potency to cause temporary or permanent damage to the living organisms in the near vicinity of these industries. This paper aims to assess the vulnerability of groundwater resources owing to its contamination in Banthar Industrial Area. Using DRASTIC model in combination with Quantum Geographic Information System (QGIS), a groundwater vulnerability map was developed, which indicated that the dispersal of Chromium was in the range of 300-1000 μg/l. In order to study the impact of Chromium dispersion, the authors proposed a batch adsorption testing of the Hexavalent Chromium (Cr (VI)) using different bio-adsorbent materials, keeping a pH range of 3-9 and the contact time between 0-80 minutes. Adsorption isotherms and Kinetic studies were also considered. All adsorbents followed the Langmuir isotherm (R 2 > 0.986), whereas Temkin isotherm stated the affinity of the adsorbents for the Cr (VI). The reactions between Chromium and the bio-adsorbents were found to follow pseudo-second order kinetics, which indicated that the reactions were exothermic. The results proposed that a modification in the bio-adsorbents caused an enhancement in the percent adsorption of Cr (VI) in comparison to the natural available bio-adsorbents.
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Papers by Shivam Mani tripathi