The objective of the study was to estimate the change detection in a surface area and volume analysis of the lime stone quarry for the year 2006 and 2014 in Mannur, Tirunelveli district, Tamilnadu. Though the mining activities are essential for the cement factory, it depletes the ground water table and causes pollution to the Environment. The Integration of Remote Sensing and GIS are effective for analyzing the impact of quarrying on natural resources. In this study, Cartosat-1 satellite data generated Digital Elevation Model (DEM) for measuring surface area and the volume of Lime stone quarry. Temporal volume change study is essential for the government to restrain the misuse of the natural resources by the private sector. In 2006, the surface area and volume of lime stone excavated by 8 mining quarries was 1,991,759.68 m 2 and 112,398,931.9 m 3 respectively. Meanwhile, the surface area utilized and volume of limestone production by the quarry was increased to 2,881,384.64 m 2 and 156,806,929.9 m 3 respectively during the year 2014. In these 8 years period, quarry surface area utilization increased by 30% and limestone production increased by 28% was observed. This study is useful for the government to monitor the natural resources restrain to over use by the private sector.
The current study aims at monitoring the nutrient index of soil in an agri-fed zone having variety of crops, especially hybrid coconuts and paddy. The study area was selected in the high rainfall zone. In the current study, 13 soil samples were randomly collected from the top soil (0-30 cm) in the selected agri-fed zones at the base of Thekkumalai hill in Thovalai-Agesteeswaram belt in Kanyakumari district of India. The soil samples were analyzed for their texture and chemical properties and total concentration of nitrogen, phosphorous and potash. Soil textures in the study area were classified as sandy clay loam (SCL) as more than 60 % of soil grains in the soil samples were coarse grained of greater than 75 µ in size and more than 30 % of the soil grains were fine grained of less than 75 µ in size. The pH of soil samples ranged from 6.3 to 7.5 with an average of 6.9. The electric conductivity ranged from 0.06 to 0.11 dS m -1 . The nitrogen ranged from 21 to 99 kg/acre with a mean value of 60 kg/acre, phosphorus ranged from 1.9 to 16.3 kg/acre with a mean value of 9.1kg/acre and potassium ranged from 12.5 to 99 kg/acre with a mean value of 55.75 kg/acre. The nitrogen content in the soil samples was found low in the soil samples and the phosphorous level was low in five soil samples; medium with six soil samples; and high in two soil samples. The potash content was low except the samples 11 and 12.
In recent years, a considerable occurrence of floods at global level impacts the occupation and various segments of the economy. Flood vulnerability is the key paradigm in flood menace management. Assessment of flood vulnerability is essential to investigate the hypothetical onsets of vulnerability. Recent flood inundation in Thamirabarani river basin in Tirunelveli district, Tamil Nadu has caused devastating impacts to the lives around the river basin area. The proposed study integrated remote sensing and GIS techniques to produce flood map of flood inundation area in the nearby Thamirabarani river basin using Cartosat-1 Satellite based Digital Elevation Model (DEM) derived by means of Leica Photogrammetry Suite to identify flood prone areas. A flow model was designed with the aid of DEM. The DEM classified the flood prone zones into high risk, medium risk and low risk zones using equal interval of classification based on elevation (buffer distance) from the river basin. Based on the nature and extent of flood, the remedial measures were classified as short-term, medium-term and long-term measures. The proposed study has recommended some flood mitigation remedial measures to the district administration of Tirunelveli for managing the flood disaster caused during the monsoon rainfall.
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