Shoreline Change Analysis along the Coast of South Gujarat, India, Using Digital Shoreline Analysis System

被引:71
作者
Mahapatra, Manik [1 ]
Ratheesh, R. [1 ]
Rajawat, A. S. [1 ]
机构
[1] Space Applicat Ctr ISRO, Geosci Div, Ahmadabad 380015, Gujarat, India
关键词
Shoreline change; DSAS model; HTL; Erosion;
D O I
10.1007/s12524-013-0334-8
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Shoreline changes along the south Gujarat coast has been analyzed by using USGS Digital Shoreline Analysis System (DSAS) version 4.3. Multi-temporal satellite images pertaining to 1972, 1990, 2001 and 2011 were used to extract the shoreline. The High water line (HTL) is considered as shoreline and visual interpretation of satellite imageries has been carried out to demarcate the HTL based on various geomorphology and land use & land cover features. The present study used the Linear Regression Method (LRR) to calculate shoreline change rate. Based on the rate of shoreline changes, the coastal stretches of study area has been classified in to high erosion, low erosion, stable, low accretion and high accretion coast. The study found that about 69.31 % of the South Gujarat coast is eroding, about 18.40 % of coast is stable and remaining 12.28 % of the coast is accreting in nature. Field investigation was carried out which confirmed the coastal erosion/accretion derived from the analysis. The high erosion area are mostly found along the Umergaon (near Fansa, Maroli, Nargol, Varili river mouth, Umergaon light house) and Pardi (Kolak, Udwara)Taluka in Valsad district. Stable coastal length of the study area is 21.59 km and mostly found in Nani Dandi and near Onjal. High accretion (3.70 %) was only found near Hajira and low accretion (8.58 %) are distributed the study area. The main causes of coastal erosion of the study area were the strong tidal currents accompanied by wave action and reduced the sediment load of the river.
引用
收藏
页码:869 / 876
页数:8
相关论文
共 24 条
[1]  
[Anonymous], 2011, GEOSPATIAL INFORM SC, DOI DOI 10.1007/S11806-011-0522-Z
[2]  
[Anonymous], J HYDRAULIC ENG
[3]  
Bertacchini E., 2010, ITALIAN J REMOTE SEN, DOI [10.5721/ItJRS20104228, DOI 10.5721/ITJRS20104228]
[4]   Remote sensing and GIS-based integrated analvsis of coastal changes and their environmental impacts in Lingding Bay, Pearl River Estuary, South China [J].
Chen, SS ;
Chen, LF ;
Liu, QH ;
Li, X ;
Tan, QY .
OCEAN & COASTAL MANAGEMENT, 2005, 48 (01) :65-83
[5]  
CROWELL M, 1991, J COASTAL RES, V7, P839
[6]  
DOLAN R, 1991, J COASTAL RES, V7, P723
[7]  
Gupta H, 2007, CURR SCI INDIA, V92, P679
[8]  
LEE JS, 1990, IEEE T GEOSCI REMOTE, V28, P662
[9]   Prediction of shoreline behaviour for Madras, India - A numerical approach [J].
Mani, JS ;
Murali, K ;
Chitra, K .
OCEAN ENGINEERING, 1997, 24 (10) :967-984
[10]   A Shoreline Change Analysis Along the Coast Between Kanyakumari and Tuticorin, India, Using Digital Shoreline Analysis System [J].
Mujabar, Sheik ;
Chandrasekar .
GEO-SPATIAL INFORMATION SCIENCE, 2011, 14 (04) :282-293