Shoreline Change Prediction for Integrated Coastal Erosion Management

The most important function of the coastal setback is to minimize damage due to coastal erosion, climate change response, and sea-level rise. There are many directions and methods of researching and assessing coastal changes and coastal erosion. This study presents the results of the shoreline changes in the area from Son Tra (Da Nang City) to Cua Dai (Hoi An City), Central Vietnam based on remote sensing data from 1965 to 2019. Three methods are used to include End Point Ratio (EPR), Linear Regression Rate (LRR), and Weighted Linear Regression (WLR). The results show that the EPR method is effective when calculating the rate of shoreline changes only at two different times. For more objective and reliable calculation, it is necessary to assess the shoreline changes over time. Meanwhile, the LRR method was shown to be superior because all shoreline data were taken into account during the construction of the regression line. However, when there is much shoreline data with different reliability, the WLR method proved more superior because of limited objective errors. The results show that from 1965 to 2019, the coast of the Son Tra - Cua Dai area had quite complicated fluctuations, of which the northern area (Son Tra) tended to accretion, the central area tends to be alternate between accretion and erosion, while the south area (Cua Dai) is strong to very strong erosion. The coast with sudden changes is the Cua Dai area with the shoreline change envelope (SCE) reaching 512m. The results also allow us to divide the coast of the Son Tra - Cua Dai area into 30 segments. They are clustered into 8 groups with different levels of erosion and accretion. This is an important basis for the setback zone establishment in the study area.

Download Full-text

Using Drone and LiDAR to Assess Coastal Erosion and Shoreline Change due to the Construction of Coastal Structures

Journal of Coastal Research ◽

10.2112/si95-131.1 ◽

2020 ◽

Vol 95 (sp1) ◽

pp. 674

Author(s):

W.J. Tak ◽

K.W. Jun ◽

S.D. Kim ◽

H.J. Lee

Keyword(s):

Coastal Erosion ◽

Shoreline Change ◽

Coastal Structures

Download Full-text

Calibration of Numerical Model for Shoreline Change Prediction Using Satellite Imagery Data

Makara Journal of Technology ◽

10.7454/mst.v19i3.3042 ◽

2015 ◽

Vol 19 (3) ◽

pp. 113 ◽

Cited By ~ 2

Author(s):

Sigit Sutikno ◽

Keisuke Murakami ◽

Dwi Puspo Handoyo ◽

Manyuk Fauzi

Keyword(s):

Numerical Model ◽

Satellite Imagery ◽

Shoreline Change ◽

Change Prediction ◽

Imagery Data

Download Full-text

Impacts of past and future coastal changes on the Yukon coast — threats for cultural sites, infrastructure, and travel routes

Arctic Science ◽

10.1139/as-2017-0041 ◽

2019 ◽

Vol 5 (2) ◽

pp. 107-126 ◽

Cited By ~ 13

Author(s):

Anna M. Irrgang ◽

Hugues Lantuit ◽

Richard R. Gordon ◽

Ashley Piskor ◽

Gavin K. Manson

Keyword(s):

Coastal Erosion ◽

Local Population ◽

Shoreline Change ◽

Coastal Processes ◽

Cultural Sites ◽

Dynamic Landscape ◽

Coastal Changes ◽

Parks Canada ◽

Cultural Features ◽

Sedimentation Processes

Yukon’s Beaufort coast, Canada, is a highly dynamic landscape. Cultural sites, infrastructure, and travel routes used by the local population are particularly vulnerable to coastal erosion. To assess threats to these phenomena, rates of shoreline change for a 210 km length of the coast were analyzed and combined with socioeconomic and cultural information. Rates of shoreline change were derived from aerial and satellite imagery from the 1950s, 1970s, 1990s, and 2011. Using these data, conservative (S1) and dynamic (S2) shoreline projections were constructed to predict shoreline positions for the year 2100. The locations of cultural features in the archives of a Parks Canada database, the Yukon Archaeological Program, and as reported in other literature were combined with projected shoreline position changes. Between 2011 and 2100, approximately 850 ha (S1) and 2660 ha (S2) may erode, resulting in a loss of 45% (S1) to 61% (S2) of all cultural features by 2100. The last large, actively used camp area and two nearshore landing strips will likely be threatened by future coastal processes. Future coastal erosion and sedimentation processes are expected to increasingly threaten cultural sites and influence travelling and living along the Yukon coast.

Download Full-text

Rapid retreat of permafrost coastline observed with aerial drone photogrammetry

The Cryosphere ◽

10.5194/tc-13-1513-2019 ◽

2019 ◽

Vol 13 (5) ◽

pp. 1513-1528 ◽

Cited By ~ 9

Author(s):

Andrew M. Cunliffe ◽

George Tanski ◽

Boris Radosavljevic ◽

William F. Palmer ◽

Torsten Sachs ◽

...

Keyword(s):

Coastal Erosion ◽

Average Rate ◽

Temporal Frequency ◽

Shoreline Change ◽

Yukon Territory ◽

Aerial Photographs ◽

The Arctic ◽

Storm Events ◽

Short Term

Abstract. Permafrost landscapes are changing around the Arctic in response to climate warming, with coastal erosion being one of the most prominent and hazardous features. Using drone platforms, satellite images, and historic aerial photographs, we observed the rapid retreat of a permafrost coastline on Qikiqtaruk – Herschel Island, Yukon Territory, in the Canadian Beaufort Sea. This coastline is adjacent to a gravel spit accommodating several culturally significant sites and is the logistical base for the Qikiqtaruk – Herschel Island Territorial Park operations. In this study we sought to (i) assess short-term coastal erosion dynamics over fine temporal resolution, (ii) evaluate short-term shoreline change in the context of long-term observations, and (iii) demonstrate the potential of low-cost lightweight unmanned aerial vehicles (“drones”) to inform coastline studies and management decisions. We resurveyed a 500 m permafrost coastal reach at high temporal frequency (seven surveys over 40 d in 2017). Intra-seasonal shoreline changes were related to meteorological and oceanographic variables to understand controls on intra-seasonal erosion patterns. To put our short-term observations into historical context, we combined our analysis of shoreline positions in 2016 and 2017 with historical observations from 1952, 1970, 2000, and 2011. In just the summer of 2017, we observed coastal retreat of 14.5 m, more than 6 times faster than the long-term average rate of 2.2±0.1 m a−1 (1952–2017). Coastline retreat rates exceeded 1.0±0.1 m d−1 over a single 4 d period. Over 40 d, we estimated removal of ca. 0.96 m3 m−1 d−1. These findings highlight the episodic nature of shoreline change and the important role of storm events, which are poorly understood along permafrost coastlines. We found drone surveys combined with image-based modelling yield fine spatial resolution and accurately geolocated observations that are highly suitable to observe intra-seasonal erosion dynamics in rapidly changing Arctic landscapes.

Download Full-text

Regional Shoreline Change and Coastal Erosion Hazards in Arctic Alaska

Solutions to Coastal Disasters 2011 ◽

10.1061/41185(417)24 ◽

2011 ◽

Cited By ~ 3

Author(s):

Ann E. Gibbs ◽

E. Lynne Harden ◽

Bruce M. Richmond ◽

Li H. Erikson

Keyword(s):

Coastal Erosion ◽

Shoreline Change ◽

Arctic Alaska ◽

Erosion Hazards

Download Full-text

Calibration of Numerical Model for Shoreline Change Prediction Using Satellite Imagery Data

Makara Journal of Technology ◽

10.7454/mst.v19i3.3219 ◽

2015 ◽

Vol 19 (3) ◽

pp. 113

Author(s):

Sigit Sutikno ◽

Keisuke Murakami ◽

Dwi Puspo Handoyo ◽

Manyuk Fauzi

Keyword(s):

Numerical Model ◽

Satellite Imagery ◽

Shoreline Change ◽

Change Prediction ◽

Imagery Data

Download Full-text

Assessment of shoreline changes for setback zone establishment from Son Tra (Da Nang city) to Cua Dai (Hoi An city), Vietnam

Vietnam Journal of Earth Sciences ◽

10.15625/0866-7187/0/0/15410 ◽

2020 ◽

Vol 42 (4) ◽

Author(s):

Ngo Van Liem ◽

Dang Van Bao ◽

Dang Kinh Bac ◽

Ngo Chi Cuong ◽

Pham Thi Phuong Nga ◽

...

Keyword(s):

Linear Regression ◽

Coastal Erosion ◽

Regression Line ◽

Central Area ◽

Remote Sensing Data ◽

Shoreline Change ◽

Shoreline Changes ◽

Climate Change Response ◽

Changes Over Time ◽

Change Response

The most important function of the coastal setback is to minimize damage due to coastal erosion, climate change response, and sea-level rise. There are many directions and methods of researching and assessing coastal changes and coastal erosion. This study presents the results of the shoreline changes in the area from Son Tra (Da Nang City) to Cua Dai (Hoi An City), Central Vietnam based on remote sensing data from 1965 to 2019. Three methods are used to include End Point Ratio (EPR), Linear Regression Rate (LRR), and Weighted Linear Regression (WLR). The results show that the EPR method is effective when calculating the rate of shoreline changes only at two different times. For more objective and reliable calculation, it is necessary to assess the shoreline changes over time. Meanwhile, the LRR method was shown to be superior because all shoreline data were taken into account during the construction of the regression line. However, when there is much shoreline data with different reliability, the WLR method proved more superior because of limited objective errors. The results show that from 1965 to 2019, the coast of the Son Tra - Cua Dai area had quite complicated fluctuations, of which the northern area (Son Tra) tended to accretion, the central area tends to be alternate between accretion and erosion, while the south area (Cua Dai) is strong to very strong erosion. The coast with sudden changes is the Cua Dai area with the shoreline change envelope (SCE) reaching 512m. The results also allow us to divide the coast of the Son Tra - Cua Dai area into 30 segments. They are clustered into 8 groups with different levels of erosion and accretion. This is an important basis for the setback zone establishment in the study area.

Download Full-text

Documenting a Century of Coastline Change along Central California and Associated Challenges: From the Qualitative to the Quantitative

Water ◽

10.3390/w11122648 ◽

2019 ◽

Vol 11 (12) ◽

pp. 2648 ◽

Cited By ~ 3

Author(s):

Gary Griggs ◽

Lida Davar ◽

Borja G. Reguero

Keyword(s):

Coastal Erosion ◽

Shoreline Change ◽

Initial Step ◽

Sandy Beaches ◽

Change Analysis ◽

The West ◽

Central California ◽

Coastline Change ◽

Coastal Cliffs ◽

Cliff Retreat

Wave erosion has moved coastal cliffs and bluffs landward over the centuries. Now climate change-induced sea-level rise (SLR) and the changes in wave action are accelerating coastline retreat around the world. Documenting the erosion of cliffed coasts and projecting the rate of coastline retreat under future SLR scenarios are more challenging than historical and future shoreline change studies along low-lying sandy beaches. The objective of this research was to study coastal erosion of the West Cliff Drive area in Santa Cruz along the Central California Coast and identify the challenges in coastline change analysis. We investigated the geological history, geomorphic differences, and documented cliff retreat to assess coastal erosion qualitatively. We also conducted a quantitative assessment of cliff retreat through extracting and analyzing the coastline position at three different times (1953, 1975, and 2018). The results showed that the total retreat of the West Cliff Drive coastline over 65 years ranges from 0.3 to 32 m, and the maximum cliff retreat rate was 0.5 m/year. Geometric errors, the complex profiles of coastal cliffs, and irregularities in the processes of coastal erosion, including the undercutting of the base of the cliff and formation of caves, were some of the identified challenges in documenting historical coastline retreat. These can each increase the uncertainty of calculated retreat rates. Reducing the uncertainties in retreat rates is an essential initial step in projecting cliff and bluff retreat under future SLR more accurately and in developing a practical adaptive management plan to cope with the impacts of coastline change along this highly populated edge.

Download Full-text