scholarly journals Assessment of coastal erosion along Indian coast on 1 : 25, 000 scaleusing satellite data

Author(s):  
A. S. Rajawat ◽  
H. B. Chauhan ◽  
R. Ratheesh ◽  
S. Rhode ◽  
R. J. Bhanderi ◽  
...  

The long stretch of coastline on the either side of Indian peninsula is subjected to varied coastal processes and anthropogenic pressures, which makes the coast vulnerable to erosion. There is no systematic inventory of shoreline changes occurring along the entire Indian coast on 1:25, 000 scale, which is required for planning measures to be taken up for protecting the coast at national level. It is in this context that shoreline change mapping on 1:25, 000 scale for the entire Indian coast based on multidate satellite data in GIS environment has been carried out for 1989–91 and 2004–06 time frame. The paper discusses salient observations and results from the shoreline change inventory. The results show that 3829 km (45.5 %) of the coast is under erosion, 3004 km (35.7 %) of the coast is getting accreted, while 1581 km (18.8 %) of the coast is more or less stable in nature. Highest percentage of the shoreline under erosion is in Nicobar Islands (88.7 %), while percentage of accreting coastline is highest for Tamil Nadu (62.3 %) and the state of Goa has highest percentage of stable shoreline (52.4 %). The analysis shows that the Indian coast has lost a net area of about 73 sq km during 1989–91 and 2004–06 time frame. In Tamilnadu, a net area of about 25.45 sq km have increased due to accretion, while along Nicobar Island about 93.95 sq km is lost due to erosion. The inventory has been used to prepare “Shoreline Change Atlas of the Indian Coast”, brought out as Six Volumes for the entire Indian coast.

Author(s):  
B. Santhosh Kumar ◽  
A. Balukkarasu ◽  
K. Tamilarasan

The southern part of the Indian peninsula of Tamil Nadu coast is potentially more vulnerable to hazards. This research aims to classify the coastal vulnerable zones of the Tuticorin, Tamil Nadu using Coastal Vulnerability Index (CVI). The multi-spectral satellite data of Landsat series was used for shoreline change analysis from 1978 to 2017. The Digital Shoreline Analysis System (DSAS) software extension was used to calculate the shoreline rate-of-change statistics from multiple historic shoreline positions developed by the United States Geological Survey. The study reveals significant erosion and accretion demarcated based on DSAS computed values along the coastal stretch. The six physical variables characterizing the vulnerability of the coast, including the geomorphology, shoreline change rate (m/yr), coastal slope (deg), relative sea-level change (mm/yr), mean wave height (m) and mean tide range (m). The geomorphology map was created using Landsat OLI satellite data in 1: 50,000 scale. The Shoreline change rate was calculated using temporal satellite data. Based on the CVI value, low vulnerable to very high vulnerable areas were identified. Besides, Vembar, Periyasamypuram, Vaippar, Kallurni, Pattanamarudur areas were identified in erosion. The Muttayyapuram coast has accretion by the consequence of sediment transport from the Thamiraparani estuary. The coastal zones are highly fragile for dynamic nature and resource. The sources of anthropogenic and natural processes are accelerating the erosion and accretion along the coast. Hence the vulnerability map prepared for the southeast coast of India and it can be most helpful for stakeholders and future coastal disaster mitigation and management.


2021 ◽  
Author(s):  
Ravi Prakash Srivast ◽  
V. P. Dimri

Abstract Coastline measurements have no explicit length if they are geometrically self-similar. It is well known that length of self-similar geometrical objects is scale dependent, and hence it is not a fixed number, rather depends on the scale used to measure it. We present a definitive approach based on a fractal method to measure the coastline of India. We propose a method to define optimum scale length, that could be used to measure the coastline. Using our method, the mainland coast measures 7567 km. There are four big inhabited islands in Andaman (North, Middle, South and Little Andaman) which accounts for 687 km of island coast, and Great Nicobar Island has 195 km of coast around it, thus coastal length of inhabited islands is 882 km. Thus the total coast length of India including major 5 inhabited islands from Andaman-Nicobar group of islands is 8391 km. There are several other small islands in Andaman-Nicobar group of islands, we observed 26 of them significant in terms of their size. Indian coast length becomes 9060 km if we account for above mentioned 26 Andaman and Nicobar Islands. According to one of the Wiki articles, there are 572 islands in Andaman-Nicobar group of islands, but many of them are very small and insignificant. This is first ever scientific study about the Indian coast length, which has global significance due to strategic and climate related coastline alterations such as sea level rise due to global warming.


2016 ◽  
Vol 5 (07) ◽  
pp. 4691
Author(s):  
Jai Bahadur Singh Kachhawa ◽  
Dinesh Meena ◽  
Vivek Sharma ◽  
Divaker Yadav ◽  
Ashish Kumar Jangid

Present manuscript is the sighting records of two less known individual species of Columbidae family i.e. Pied Imperial Pigeon (Ducula bicolor, Scopoli 1786) and Nicobar Green Imperial Pigeon (Ducula aenea nicobarica, Pelzeln, 1865) from Great Nicobar Island of Andaman Nicobar Islands. 


Author(s):  

Abstract A new distribution map is provided for Aleurocanthus spiniferus (Quaintance). Hemiptera: Aleyrodidae. Hosts: Citrus spp. Information is given on the geographical distribution in Europe (Croatia, Italy, Mainland Italy, Montenegro), Asia (Bangladesh, Bhutan, Brunei Darussalam, China, Anhui, Chongqing, Fujian, Guangdong, Guizhou, Hainan, Hong Kong, Hubei, Hunan, Jiangsu, Jiangxi, Shandong, Sichuan, Yunnan, Zhejiang, India, Andaman and Nicobar Islands, Assam, Bihar, Karnataka, Maharashtra, Tamil Nadu, Uttar Pradesh, Indonesia, Java, Sumatra, Iran, Japan, Honshu, Kyushu, Ryukyu Archipelago, Shikoku, Korea Republic, Malaysia, Peninsular Malaysia, Sabah, Sarawak, Myanmar, Pakistan, Philippines, Sri Lanka, Taiwan, Thailand, Vietnam), Africa (Kenya, Mauritius, Nigeria, Reunion, South Africa, Swaziland, Tanzania, Uganda), North America (USA, Hawaii), Oceania (Australia, Northern Territory, Queensland, Federated States of Micronesia, Guam, Northern Mariana Islands, Papua New Guinea).


2021 ◽  
Vol 9 (3) ◽  
pp. 29-35
Author(s):  
K Kesavalu ◽  
R Asokan ◽  
A Abdul Raheem

Horticulture is now acknowledged as being a vital driver for economic development, poverty reduction and enhanced nutrition for populations in developing countries. Tamil Nadu is one of the foremost horticulture States in India, contributing 7.7 percent to the national horticultural production with 5.7 percent of the national level area. The horticultural crops contain the remarkable potential for export earnings within the State. Cardamom and pepper are important species of Tamil Nadu; Plantation crops of Tamil Nadu are coffee and tea, and that they are traditionally exporting products. Flowers have small areas in Tamil Nadu, but the price of production per hectare is substantial. Palmarosa and indigo are cultivated in negligibly small rooms, mostly for export. Therefore, this paper examines the progress, problems and constraints of the horticulture scenario in Tamilnadu.


2013 ◽  
Vol 4 (1) ◽  
pp. 1-14

An environmental database has been created, recording water bodies at a national level and assembling relevant data collected by various public services and institutions in charge of water resources management and research in Greece. Data consists of physico-chemical parameters, geomorphological descriptions, inventories of fauna and flora species, environmental pressures, vulnerability evaluation and other information useful for the assessment of current and future ecological status. Data gathering has proven to be a challenging task, due to the large number and the generally small size of the surface freshwater bodies as well as the numerous competent services and institutions and the multiple and sometimes conflicting responsibilities that therefore result. The latter is also partly the cause of lack of continuity of data, gaps or sometimes questionable reliability. Performing a global data overview, we note that (a) ecological status can be characterized as good for the majority of the sites, especially for small mountain streams, and (b) the general trend in most cases is degradation of current conditions, related either to anthropogenic pressures or to human activity combined with natural factors. This database, in a more completed and enriched form, could assist in the implementation of 2000/60/EC Directive in Greece and the establishment of reference conditions of surface freshwater systems.


Author(s):  
P. F. Cannon

Abstract A description is provided for Leptogium cochleatum. Some information on its associated organisms and substrata, habitat, dispersal and transmission, and conservation status is given, along with details of its geographical distribution (Africa (Ethiopia, Kenya, Lesotho, Madagascar, Sao Tome and Principe, South Africa, Tanzania), North America (Canada (Nova Scotia), Mexico, USA (Alabama, Arizona, Colorado, Florida, Georgia, Maine, Maryland, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, North Carolina, Virginia)), Central America (Belize, Costa Rica, El Salvador, Guatemala, Nicaragua), South America (Argentina, Bolivia, Brazil (Bahia, Mato Grosso, Pará, Rio de Janeiro, Rio Grande do Sul, Santa Catarina, São Paulo), Colombia, Ecuador, French Guina, Peru, Surinam, Venezuela), Asia (China (Beijing, Yunnan), India (Andaman & Nicobar Islands, Karnataka, Maharashtra, Nagaland, Sikkim, Tamil Nadu, Tripura, Uttarakhand, West Bengal), Indonesia, Japan, Malaysia, North Korea, Papua New Guinea, Philippines, Russia (Primorsky Krai), Singapore, South Korea, Taiwan, Thailand, Vietnam), Atlantic Ocean (Bermuda, Cape Verde, Portugal (Azores, Madeira), Spain (Canary Islands), St Helena), Australasia (Australia (New South Wales, Queensland, Victoria), New Zealand, Norfolk Island), Caribbean (Cuba, Guadeloupe), Europe (Austria, Croatia, France, Greece, Ireland, Italy, Norway, Poland, Portugal, Romania, Russia (Krasnodar Krai), Spain, Sweden, Switzerland, UK, former Yugoslavia), Indian Ocean (Mauritius), Pacific Ocean (New Caledonia, USA (Hawaii), Vanuatu)). This species is used in the British Isles as an indicator when making ecological assesments.


Author(s):  
Aniruddh S. Gaur ◽  
Kamlesh H. Vora

India has played a major role in Indian Ocean trade and the development of shipbuilding technology. The study of the maritime history of India commenced in the first decade of the twentieth century and was largely based on literary data. Maritime archaeological investigations have been undertaken at various places along the Indian coast, such as in Dwarka, Pindara, the Gulf of Khambhat, the Maharashtra coast, the Tamil Nadu coast, etc. Despite a long coastline and a rich maritime history, there are no proper coastal records or records of shipwrecks that are preserved, except some literary references, which suggest a large number of shipwrecks dating between the early sixteenth century and the nineteenth century. This article discusses important shipwrecks on which detailed work is in progress.


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