Ismail Mondal

Detecting shoreline changing trends using principle component analysis in Sagar Island, West Bengal, India

Sagar coastline is a major attraction site for tourist and also source of income for the local peoples. However shoreline has been changing due to erosion. The shoreline position is difficult to predict but the trend of erosion or accretion can be determinate by statistical techniques. The study aims to assess the shoreline changes and prediction in Sagar Island, a delta of Ganges, situated in West Bengal, India. This study sought to find the trend of shoreline changes and factors. Shoreline can be detected by using PCA and non-directional edge techniques from Landsat images. The shoreline mapping of Sagar Island during (1975–2015) using geospatial techniques. The present study focuses the shoreline change and in future prediction from satellite derived multi-temporal Landsat MSS, Landsat TM, Landsat ETM+, Landsat OLI data using GIS; it is used to determinate or to estimate the change rate of shoreline in Sagar Island by End Point Rate, and Linear Regression models.

Pollution tolerance performance index for plant species using geospatial technology: evidence from Kolaghat Thermal Plant area, West Bengal, India

Pollution is a global phenomenon which has completely transformed the socio-economic scenario in urban areas all over the world we also care about it. Although the plant has a number of benefits, the lack of treatment of the fly ash generated from this plant has been detrimental to the productivity and quality of the main commercial crops of the surrounding area and is also responsible for some changes in the land use pattern. Studies were made to assess the impact of a thermal power plant located at Kolaghat on vegetation and water in surrounding areas. Pollutant concentration in the area gradually increased along a belt in the prevailing wind direction and a gradient of structural and functional changes in aquatic plants was observed. Natural vegetation in the area varied significantly at different sites and on the basis of plant responses can be classified as insensitive, intermediate and sensitive repetitively. The effect of the power plant emissions on water, soil and eco-physiological characteristics such as chlorophyll content, relative water content, ascorbic acid, it’s seemed to be a function of the pollutant gradient existing in the area. There was a relationship between plant responses and changes in the chemical factors of water, soil and plants due to pollution of Thermal Power Plant. According to pollution tolerance performance index such types of plants species play an importance role for green development in Kolaghat Thermal Power area.

A GIS based DRASTIC model for assessing groundwater vulnerability in Jangalmahal area, West Bengal, India

Groundwater vulnerability assessment to delineate areas that are more susceptible to contamination from anthropogenic source has become an important element for sensible natural resource management and land use and land cover planning of Jangalmahal area. This contribution aims at estimating aquifer vulnerability by applying the DRASTIC model in Jangalmahal (some parts of Purulia, Bankura, and West Medinipur) area. The maps of aquifer vulnerability to pollution are becoming more in demand because on the one hand groundwater represents the main source of drinking water, and on the other hand high concentrations of human/economic activities, e.g. industrial, agricultural, and household represent real or potential sources of groundwater contamination. There is a need to conduct studies on groundwater pollution. The signature of water resource and the potential for groundwater quality to decline due to various anthropogenic activities within the Jangalmahal area has necessitated this study using a combination of DRASTIC and GIS method. The DRASTIC models have considered seven parameters viz. depth to water level, net recharge, aquifer material, soil material, topography, impact of vadose zone and hydraulic conductivity. The study area reveals that about 43.5% of the watershed area is exposed to high-risk, 11.6% exposed to medium-risk, and 45.26% exposed to the watershed are dominated by high vulnerability classes while the north western and middle portions are characterized by moderate vulnerability classes. The study northern and lower part is minor aquifer vulnerability zone are categorised. Finally, it is realized that GIS is an effective platform for groundwater vulnerability mapping with consistent accuracy assessment, and therefore, the present study is more suitable for geo-environmental planning and analytical of groundwater management.