Environmental impacts of the Chennai oil spill accident - a case study.

The shoreline is one of the most important features on earth’s surface. They are highly dynamic and ever changing. Changes are over time scales including minutes, hours, decades and Centuries. Spatial scales vary from local to regional to worldwide. Although change is continuously occurring, it doesn’t occur in a constant manner. Many factors influence these changes including the type of shoreline (rocky, sandy), wave activity, tidal variations, storms and human impacts. The shoreline change study is necessary for updating the shoreline change maps and management of natural resources. Shorelines are the key element in coastal GIS and provide the most information on coastal landform dynamics. The frequently monitoring coast only to accesses variation of shoreline changes. In this paper investigate the shoreline changes of Nellore district in Andhra Pradesh coast, as well as find the quantity of the erosion and accretion rate. Using multi-temporal resolution satellite data (TM & LISS III, IV) and Geographic information system (GIS) for past 25 years period i.e., from 1989 to 2015. Nellore having length of coast line is 167 km for this study used. The resultant coastal maps were used to estimate the geomorphologic changes and shifting of the shoreline position. This integrated study is found useful for exploring accretion and erosion processes in the region. About 87.6 km of coastline was found to be accreting nature with average of +1.40 m/yr followed by 38.4 km of coastal line eroding with average of -1.36 m/yr and stable coastline of 41.4 km was found. This study demonstrates that combined use of satellite imagery and statistical method such as linear regression for shoreline change analysis are helpful for erosion monitoring and preventive measure.

Shoreline Change Monitoring in Nellore Coast at East Coast AndhraPradesh District Using Remote Sensing and GIS

Automatic shoreline extraction and change detection: A study on the southeast coast of Bangladesh

The shoreline is under several emotional threats for last few decades by some natural forces and human intervention. In this paper the beaches are analyzed to assessing their evolution (erosion/accretion) associated with human intervention and climatic condition. Coastal changes are attracting more focus since they are important environmental indicators that directly impact coastal economic development and land management. Both natural and anthropogenic processes along the coast control the erosion, and accretion activities of the coastal zones. In this study, high-resolution images taken from 1989-2015 at an interval of about 5/10 years and topographic maps were collected to determine coastline changes. The present shoreline maps illustrating the shoreline erosion accretion pattern in the coastal area of Visakhapatnam district by using different sources of remote sensing data. In the present study, Landsat 5 (1989), IRS-P6 LISS III (1999), IRS-P6 LISS III (2005, 2010), LISS IV (2012) and Landsat 8 (2015) satellite images were used. The shoreline change detection was conducted using the Digital Shoreline Analysis System (DSAS). The rate of shoreline change was assessed using Linear Regression (LRR) and End Point Rate (EPR) methods. In those methods End Point Rate (EPR) was calculated by dividing the distance of shoreline movement by the time elapsed between the earliest and latest measurements at each transect. Visakhapatnam having length of coast line is 135 km. The resultant coastal maps were used to estimate the geomorphologic changes and shifting of the shoreline position. This integrated study is found useful for exploring accretion and erosion processes in the region. About 74.6 km of coastline was found to be accreting nature with average of +1.08 m/yr followed by 38.4 km of coastal line eroding with average of -1.40 m/yr and stable coastline of 41.4 km was found. This study demonstrates that combined use of satellite imagery and statistical method such as linear regression for shoreline change analysis are helpful for erosion monitoring and preventive measure.

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Detection of Shoreline Changes Visakhapatnam Coast, Andhra Pradeshfrom Multi-Temporal Satellite Images

Chennai is a major metropolitan city along the southeast coast of India and is popular for its world’s second longest sandy beach called as Marina beach the shoreline of which has been gradually ad...

Analysis of shoreline change between inlets along the coast of Chennai, India

Shoreline movement is a complex phenomenon that is the result of both natural processes and man-made effects. Some of these processes occur over millennia; others are recent and may be cyclic. Understanding changes to the shore requires both a complete understanding of the underlying processes and an ability to accurately measure the changes. This paper presents the one-line shift method of determining datum-based shoreline positions for every month using Arc-GIS and sectional changes using data field measured data with the help of real-time kinematic GPS (RTK-GPS). This result shows the erosion and accretion patches and its volume for the study area.

V. Rangarao

Papers

Shoreline changes along the Northern coast of Chennai port, from field measurements

Littoral transport estimate from the field measurement along north chennai coast of tamil nadu, india