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

2020 ◽  
Vol 42 (4) ◽  
pp. 363-383
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.

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

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.

Rapid detection of changes in the riverbanks of Laigiang river of the South Central Coast Vietnam: A methodology based on Digital Shoreline Analysis System and Sentinel-2

2021 ◽  
Vol 14 (11) ◽  
pp. 13-24
Author(s):  
Anh Tu Ngo ◽  
Stéphane Grivel ◽  
Thai Le Phan ◽  
Huu Xuan Nguyen ◽  
Trong Doi Nguyen
Keyword(s):  
Linear Regression ◽  
Shoreline Change ◽  
The South ◽  
Central Coast ◽  
Shoreline Changes ◽  
South Central ◽  
Digital Shoreline Analysis System ◽  
Analysis System ◽  
End Point Rate ◽  
Sentinel 2

The research focuses on using Sentinel-2 that can be integrated with the Digital Shoreline Analysis System (DSAS) as an effective tool for the determination of changes in the riverbanks and using linear regression to predict shoreline changes. The research applied the assessment of shoreline changes in the period of 2015- 2020 and forecast to 2025 in Laigiang river of the South Central Coast region of Vietnam. Based on the DSAS tool, parameters such as Shoreline Change Envelope (SCE), Net Shoreline Movement (NSM), End Point Rate (EPR) and Linear Regression Rate (LRR) were determined. The analysis results show that the accretion process in the Laigiang river in the period of 2015-2020 with the accretion area ranges from 81.47 ha. Meanwhile, the area of shoreline erosion only fluctuates around 54.42 ha. The rhythm of evolution is a determinant element for this transitional system.

scholarly journals ANÁLISE MULTITEMPORAL DA VARIABILIDADE DA LINHA DE COSTA DO LITORAL DO MUNICÍPIO DE CAUCAIA, CEARÁ, BRASIL

2019 ◽  
Vol 21 (2) ◽  
pp. 864-884
Author(s):  
Jailson Cavalcante Lima ◽  
Roberto Jarllys Reis Lima ◽  
Eduardo Lacerda Barros ◽  
Davis Pereira de Paula
Keyword(s):  
Linear Regression ◽  
Central Region ◽  
Coastal Erosion ◽  
Central Area ◽  
The West ◽  
Human Actions ◽  
Regression Rate ◽  
East End ◽  
Erosion Coast

A erosão costeira, que pode ser de decorrência natural ou por consequência de ações humanas, vem deixando suas marcas no litoral de Caucaia, destruindo residências, barracas de praia e outras estruturas urbanas. O objetivo deste estudo é avaliar a variação da linha de costa do município de Caucaia – CE, em um período de 10 anos, e categorizá-la a partir de classificação pré-definida a partir de estudos anteriores. A delimitação da linha de costa foi realizada a partir de imagens RapidEye e QuickBird tendo como base a linha de preamar média (LPM), esta determinação serviu para calcular suas taxas de variação a partir do parâmetro Linear Regression Rate (LRR). Os resultados levantados permitiram fazer análises particularizadas por praias. Desta forma verificou-se que as tendências erosivas se apresentam em 38% da costa, concentrando-se, no extremo leste do litoral e na sua região central. Já o trecho costeiro oeste apresentou taxas que indicam estabilidade e acreção.Palavras-chave: Linhas de costa; erosão costeira; Litoral de Caucaia. ABSTRACTThe Coastal erosion that may be due to natural causes or human actions has left its mark on the coast of Caucaia, destroying residences, beach tents and urban infrastructures (e.g.avenues). The objective of this study is to evaluate the shoreline variation of the municipality of Caucaia - CE over a period of 10 years and to categorize it from the classification applied by Esteves and Finkl (1998) and Luijendijk et al. (2018).The delimitation of the shoreline was made using a RapidEye and QuickBird images based on the average hightide line (LPM), this determination was used to calculate their rates of variation from the parameter Linear Regression Rate (LRR). In this way, it was verified that the erosive tendencies present in 38% of the coast, concentrating, mainly, between the central region and the more east end, in counterpoint, starting from the central area to the west are rates that indicate stability and accretion.Keywords: shoreline, coastal erosion, coast of Caucaia. RESUMENLa erosión costera que puede ser de naturaleza natural o como resultado de acciones humanas ha dejado su huella en la costa de Caucaia, destruyendo casas, cabañas de playa y otras estructuras urbanas. El objetivo de este estudio es evaluar la variación de la costa del municipio de Caucaia - CE, durante un período de 10 años, y clasificarla a partir de una clasificación predefinida de estudios anteriores. La delimitación de la costa se realizó a partir de imágenes RapidEye y QuickBird basadas en la línea media previa al casco (LPM), esta determinación se utilizó para calcular sus tasas de cambio a partir del parámetro Tasa de regresión lineal (LRR). Los resultados obtenidos permitieron realizar análisis individualizados por playas. Por lo tanto, se encontró que las tendencias de erosión están presentes en el 38% de la costa, concentrándose en el extremo este de la costa y en su región central. El tramo costero occidental mostró tasas que indican estabilidad y acreción.Palabras clave: costas; erosión costera; Costa del Caucaia.

scholarly journals Shoreline Dynamics in East Java Province, Indonesia, from 2000 to 2019 Using Multi-Sensor Remote Sensing Data

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 100
Author(s):  
Sanjiwana Arjasakusuma ◽  
Sandiaga Swahyu Kusuma ◽  
Siti Saringatin ◽  
Pramaditya Wicaksono ◽  
Bachtiar Wahyu Mutaqin ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Coastal Erosion ◽  
Remote Sensing Data ◽  
Google Earth ◽  
Landsat 8 ◽  
Optical Remote Sensing ◽  
Coastal Regions ◽  
Shoreline Changes ◽  
Sensing Data ◽  
Rates Of Change

Coastal regions are one of the most vulnerable areas to the effects of global warming, which is accompanied by an increase in mean sea level and changing shoreline configurations. In Indonesia, the socioeconomic importance of coastal regions where the most populated cities are located is high. However, shoreline changes in Indonesia are relatively understudied. In particular, detailed monitoring with remote sensing data is lacking despite the abundance of datasets and the availability of easily accessible cloud computing platforms such as the Google Earth Engine that are able to perform multi-temporal and multi-sensor mapping. Our study aimed to assess shoreline changes in East Java Province Indonesia from 2000 to 2019 using variables derived from a multi-sensor combination of optical remote sensing data (Landsat-7 ETM and Landsat-8 OLI) and radar data (ALOS Palsar and Sentinel-1 data). Random forest and GMO maximum entropy (GMO-Maxent) accuracy was assessed for the classification of land and water, and the land polygons from the best algorithm were used for deriving shorelines. In addition, shoreline changes were quantified using Digital Shoreline Analysis System (DSAS). Our results showed that coastal accretion is more profound than coastal erosion in East Java Province with average rates of change of +4.12 (end point rate, EPR) and +4.26 m/year (weighted linear rate, WLR) from 2000 to 2019. In addition, some parts of the shorelines in the study area experienced massive changes, especially in the deltas of the Bengawan Solo and Brantas/Porong river with rates of change (EPR) between −87.44 to +89.65 and −18.98 to +111.75 m/year, respectively. In the study areas, coastal erosion happened mostly in the mangrove and aquaculture areas, while the accreted areas were used mostly as aquaculture and mangrove areas. The massive shoreline changes in this area require better monitoring to mitigate the potential risks of coastal erosion and to better manage coastal sedimentation.

scholarly journals CENTURY-SCALE SHORELINE CHANGES OF FIVE BEACHES IN JAPAN

2012 ◽  
Vol 1 (33) ◽  
pp. 35
Author(s):  
Jun Yoshida ◽  
Keiko Udo ◽  
Yuriko Takeda ◽  
Akira Mano
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Human Activities ◽  
Coastal Erosion ◽  
Japan Sea ◽  
Shoreline Change ◽  
Beach Erosion ◽  
Sea Temperature ◽  
Shoreline Changes ◽  
The Future

Coastal erosion caused by sea level rise is a serious problem for people all over the world. Global sea level will rise from 0.18 to 0.59 m (IPCC, 2007). Along the coasts in Japan, sea level will rise from 0.09 to 0.27 m by the end of this century. The future estimation considers only thermal expansion due to rising sea temperature caused by global warming. However, considering the contribution of scale-down of Greenland and Antarctic ice sheet, there is potential of the increase in the rate of sea level rise. There are few studies which evaluate impacts of the future beach erosion on society by comparing with the past shoreline change resulting from natural forces and human activities. This study evaluates the long-term shoreline changes due to natural forces and human activities by using old maps. Shoreline changes were influenced by natural forces from 1900 to 1950 and were influenced by human activities from 1950 to 1990. Shoreline changes showed that the changes tended to be stable after 1990, and coastal erosion due to climate change would likely become obvious in the future.

scholarly journals Perubahan Garis Pantai pada Musim Timur dan Barat kaitannya dengan Karakteristik Gelombang di Pesisir Kabupaten Takalar, Sulawesi Selatan

2021 ◽  
Vol 24 (3) ◽  
pp. 302-310
Author(s):  
Dwi Fajriyati Inaku ◽  
Nurjannah Nurdin ◽  
Dewi Yanuarita Satari
Keyword(s):  
Coastal Area ◽  
Coastal Erosion ◽  
Shoreline Change ◽  
Environment Monitoring ◽  
Shoreline Changes ◽  
Digital Shoreline Analysis System ◽  
Analysis System ◽  
Marine Environment Monitoring ◽  
The Waves ◽  
West Monsoon

Detection of shoreline changes needs to be done to determine changes so that supervision and management planning in a coastal area can be carried out, one of which is on the coast of Takalar Regency, South Sulawesi. This study aims to map changes in the coastline in Takalar Regency in different seasons and to see the effect of the waves on these changes. This study uses Landsat satellite imagery data from 1998-2018, and wave data obtained from Copernicus Marine Environment Monitoring Services (CMEMS). The shoreline data extraction was using the combination of single band and band ratio approach while the shoreline change rate calculation was using the Digital Shoreline Analysis System (DSAS) application. In addition, GeoDa application was used to obtain the regression analysis of the effect of waves on shoreline changes. The results showed that there were similar patterns of shoreline changes between monsoon and west monsoon, although the value were different. Coastal erosion occurs in almost all Takalar coastal area. Some areas that have a high coastal erosion value were the sub-district of South Galesong and Mappakasunggu while the areas that have a high accretion value were the sub-districts of Sanrobone, Mappakasunggu, and Mangarabombang. The waves had a significant influence on changes in shoreline in both the monsoon and west monsoon (P <0.05) with a percentage of 17,2% for the monsoon and 7.3% for the west monsoon which indicated there were other factors that influence shoreline change besides the wave factor on the Takalar Coast. Deteksi perubahan garis pantai perlu dilakukan dalam rangka pengawasan dan perencanaan pengelolaan di suatu kawasan, salah satunya di Pesisir Kabupaten Takalar, Sulawesi Selatan. Penelitian ini bertujuan untuk memetakan perubahan garis pantai di Kabupaten Takalar berdasarkan musim dan melihat pengaruh gelombang terhadap perubahan tersebut. Penelitian ini menggunakan data Citra Satelit Landsat tahun 1998-2018, dan data gelombang yang diperoleh dari Copernicus Marine Environment Monitoring Services (CMEMS). Ekstraksi data garis pantai menggunakan pendekatan perkalian single band dan ratio band sedangkan perhitungan laju perubahan garis pantai menggunakan aplikasi Digital Shoreline Analysis System (DSAS). Analisis regresi untuk melihat pengaruh gelombang terhadap perubahan garis pantai menggunakan aplikasi GeoDa. Hasil penelitian menunjukkan terdapat pola yang hampir sama antara perubahan garis pantai musim timur dan musim barat meskipun dengan besaran yang berbeda. Abrasi terjadi hampir di seluruh Pesisir Takalar. Daerah yang memiliki nilai abrasi yang tinggi yaitu Kecamatan Galesong Selatan dan Mappakasunggu sedangkan daerah yang memiliki nilai akresi tinggi yaitu Kecamatan Sanrobone, Mappakasunggu, dan Mangarabombang. Gelombang memberikan pengaruh yang signifikan terhadap perubahan garis pantai baik pada musim timur maupun barat (P<0,05) dengan persentase 17,2% untuk musim timur dan 7,3% untuk musim barat yang mengindikasikan terdapat faktor lain yang ikut mempengaruhi perubahan garis pantai selain faktor gelombang di Pesisir Takalar.

scholarly journals Beyond Planning Tools: Experiential Learning in Climate Adaptation Planning and Practices

Climate ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 76
Author(s):  
Kristen M. Schmitt ◽  
Todd A. Ontl ◽  
Stephen D. Handler ◽  
Maria K. Janowiak ◽  
Leslie A. Brandt ◽  
...  
Keyword(s):  
Natural Resources ◽  
Climate Adaptation ◽  
Climate Science ◽  
Adaptation Planning ◽  
Work Time ◽  
Training Approach ◽  
Climate Change Response ◽  
Planning Tools ◽  
Change Response

In the past decade, several dedicated tools have been developed to help natural resources professionals integrate climate science into their planning and implementation; however, it is unclear how often these tools lead to on-the-ground climate adaptation. Here, we describe a training approach that we developed to help managers effectively plan to execute intentional, climate-informed actions. This training approach was developed through the Climate Change Response Framework (CCRF) and uses active and focused work time and peer-to-peer interaction to overcome observed barriers to using adaptation planning tools. We evaluate the effectiveness of this approach by examining participant evaluations and outlining the progress of natural resources projects that have participated in our trainings. We outline a case study that describes how this training approach can lead to place and context-based climate-informed action. Finally, we describe best practices based on our experience for engaging natural resources professionals and helping them increase their comfort with climate-informed planning.

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