Determination of shoreline change along the East-Java coast, using Digital Shoreline Analysis System

Eva Louise Den Boer,A C Oele,Suntoyo Suntoyo,Agro Wisudawan

doi:10.1051/matecconf/201817701022

Abstract

This study focused on determining the shoreline change at the East-Java coast by comparing the shorelines between 2006 and 2015, using digital shoreline analysis system (DSAS) techniques to identify and measure erosion (shoreline retreat) and accretion (shoreline advance). Shoreline change rates are calculated according to Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), End Point Rate (EPR), and Linear Regression Rate (LRR). Results present local variations in shoreline change distance as well as in shoreline change rates. The statistical methods showed similarities with the highest accretion distance of 991.57 meters in the region of Mulyorejo and highest erosion distance of 928.75 meters in Sidoarjo. The EPR shows a rate with a maximum of 169.98 m/year and a minimum of 3.428 m/year. As for the LRR a maximum of 189.58 m/year and a minimum of 5.467 m/year were conducted from calculations.

Highlights

A key requirement for effective coastal zone management is the analysis of changes in the past
This study focused on determining the shoreline change at the East- Java coast by comparing the shorelines between 2006 and 2015, using digital shoreline analysis system (DSAS) techniques to identify and measure erosion and accretion
Shoreline change rates are calculated according to Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), End Point Rate (EPR), and Linear Regression Rate (LRR)

Summary

Introduction

A key requirement for effective coastal zone management is the analysis of changes in the past. Located along the East Java Coast, the study area covers the areas of Pamurbaya and Sidoarjo. Along the coastal area of East-Java the mangrove forests form a unique ecosystem for marine species. A common used program in shoreline change studies is the ArcGIS extension Digital Shoreline Analysis System (DSAS). The software program is used in both past shoreline changes [4] and in future prediction studies [5]. The main objective of this research is to determine the change in shoreline positions between 2006 and 2015 using DSAS as well as to identify erosion and accretion

Objectives

Methods

Results

Discussion

Conclusion