Assessment of shoreline changes over the Northern Tamil Nadu Coast,South India using WebGIS techniques

Coastal zone is often vulnerable to natural hazards such as cyclones, storm surges, tsunamis, erosion, accretion, and coastal flooding; and man-made hazards like ports, jetties, seawalls, breakwaters, and groins. These disasters are frequently affecting the shorelines, beaches, and headlands that lead to loss of human life, properties, and natural ecosystems. To prevent further loss in the coastal zone and to conserve the existing natural resources, it is important to map and monitor vulnerable shorelines at frequent time intervals. The current study, conducted over the Northern TN (Tamil Nadu) coast of India, is highly dynamic due to its nature of coast and shoreline changes. The temporal remote sensing data and Survey of India (SOI) topographic maps over the period of 40 years (i.e., 1976–2016) were used to capture shorelines and then the erosion and accretion from the shorelines were assessed by performing the overlay analysis. These geospatial datasets of shorelines were incorporated into WebGIS platform, which was developed and demonstrated using open source software. This latest WebGIS technology allows users to store a large volume of geospatial datasets in the server and access through internet with a web browser that lead to manipulation, visualization, interaction, and dissemination. The results revealed that there were 61 layers, which include district-wise shorelines, erosion, and accretion for Tiruvallur, Chennai, and Kanchipuram. These geospatial datasets in WebGIS showed that the dynamism on the morphological structure of the shorelines, over the Northern TN lost 1,925 ha and gained 1,578 ha due to erosion and accretion, respectively. It is reported that in this study spatial reduction in the coastline may be attributed to natural and anthropogenic activities. However, this research will be useful for various stakeholders, including coastal management authorities to formulate policies and to regulate the coastal development activities.     

Trajectory of an oil spill off Goa, eastern Arabian Sea: field observations and simulations

An oil spill occurred off Goa, west coast of India, on 23 March 2005 due to collision of two vessels. In general, fair weather with weak winds prevails along the west coast of India during March. In that case, the spill would have moved slowly and reached the coast. However, in 2005 when this event occurred, relatively stronger winds prevailed, and these winds forced the spill to move away from the coast. The spill trajectory was dominated by winds rather than currents. The MIKE21 Spill Analysis model was used to simulate the spill trajectory. The observed spill trajectory and the slick area were in agreement with the model simulations. The present study illustrates the importance of having pre-validated trajectories of spill scenarios for selecting eco-sensitive regions for preparedness and planning suitable response strategies whenever spill episodes occur.     

Removal of Methylene Blue Dye from Aqueous Solution using PDADMAC Modified ZSM-5 Zeolite as a Novel Adsorbent

Journal of Polymers and the Environment - In the present work, we modified ZSM-5 zeolite using a bio polymer poly (diallyl dimethyl ammonium chloride) and employed it for the removal of cationic...     

Non-metallic organic dyes as photosensitizers for dye-sensitized solar cells: a review

Environmental Science and Pollution Research - The advent of novel technologies has led to the need for environmental and economic integration. Energy consumption plays a vital role in human...     

Sensitivity of atmospheric dispersion simulations by HYSPLIT to the meteorological predictions from a meso-scale model

Mesoscale transport and dispersion of air pollutants from a few major point sources in the Mississippi Gulf coastal region is calculated using a coupled modeling system consisting of the atmospheric dynamical model WRF and the lagrangian particle model HYSPLIT. The sensitivity of the dispersion model results to the meteorological fields is studied by conducting an ensemble of simulations using the WRF model for the same dispersion case. Several parameterization schemes for the physical processes of boundary layer turbulence and land surface temperature/moisture prediction in WRF are used in various combinations to produce different meteorological members which are then used for dispersion simulation. The uncertainty in the simulated concentration probabilities to the meteorological model configurations and the ensemble mean are presented. The parameters used for determining the uncertainties include the wind fields, temperature, area of concentration and the levels of concentration. The results indicate that dispersion model results are influenced by the choices made in respect of the planetary boundary layer and land surface schemes in the mesoscale model to produce the meteorological forecast thereby leading to certain amount of uncertainty in the resultant concentrations. Results show that the specific choices made about the atmospheric model configuration can significantly after the simulated concentrations.