Morphological Changes along the shoreline of the arcuate Niger Delta from Parts of Delta State to Akwa Ibom State between 1986 and 2016

This study analyzes the morphological changes occurring at the arcuate Niger Delta shoreline by identifying factors that contribute to erosion-induced shoreline changes and the rate of shoreline change from Forcados (Delta State) to Ibeno (Akwa Ibom State). Shoreline changes were compared from 1986 to 2016 as well as among western, central and eastern sections of the arcuate Niger Delta using Landsat satellite imagery within Geographic Information System (GIS) environment. In the assessment of the entire shoreline, accretion was 5,477.814Ha (1.2%) in 1986 and 19181.53Ha (4.1%) in 2016. For erosion, it was 48,400.03 (10.3%) in 1986 and 68398.84Ha (14.5%) in 2016. This indicates that accretion increased by 2.91% and erosion also increased by 4.25% in 30 years. The major accretion was detected within Brass (Bayelsa State), Bonny (River State), Andoni (River State) and Ibeno (Akwa Ibom State). Forcados South Point (Delta State), Sombreiro River mouths and eastern Obolo recorded the highest level of shoreline erosion. For land use/land cover (LULC), vegetation was 27.4% in 1986 but reduced to 22.9% in 2016; a change I attributed to massive conversion of vegetative cover for anthropogenic activities in the area. The study concluded that major erosion cases are due to the changing climate and the velocity of flow of major estuaries into the ocean. The activities that contribute to the shoreline change aside the challenging natural factors are sand mining, hard and engineered structures on the shore and other commercial and social activities. The occurrences of shoreline erosion have contributed to the degradation of these coastal ecosystems, loss of human settlements and livelihood. It is therefore essential to implement precautionary measures to mitigate the risk of shoreline erosion within this sensitive zone

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Shoreline changes at the regional scale in Tuktoyaktuk and the Mackenzie Delta, calculated using Landsat satellite imagery from 1985 to 2013

10.32920/ryerson.14654046 ◽

2021 ◽

Author(s):

Rachid Ramoul

Keyword(s):

Satellite Imagery ◽

Regional Scale ◽

Canadian Arctic ◽

Shoreline Change ◽

Anthropogenic Activity ◽

Mackenzie Delta ◽

Shoreline Changes ◽

Landsat Satellite ◽

Vast Area ◽

Over Time

The Canadian Arctic has long been perceived by many as a vast area of barren and frozen land, sparsely populated, and of little importance to the country’s economic growth. However, today this is no longer the case. The changing environment and increased development in this region have led to numerous environmental ramifications, one of the most prominent being shoreline changes. The purpose of this study is to investigate the impacts climate change, natural mechanisms, and increased anthropogenic activity have had on the shoreline in the hamlet of Tuktoyaktuk in the Northwest Territories, and the surrounding Mackenzie Delta from 1985 to 2013 using Landsat satellite imagery. Shoreline changes are quantified and given a rate and directional vector over time in order to determine the predominant trends of erosion or deposition. The results of this investigation indicate that shoreline erosion is one of the leading mechanisms of shoreline change in this region.

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Shoreline changes at the regional scale in Tuktoyaktuk and the Mackenzie Delta, calculated using Landsat satellite imagery from 1985 to 2013

10.32920/ryerson.14654046.v1 ◽

2021 ◽

Author(s):

Rachid Ramoul

Keyword(s):

Satellite Imagery ◽

Regional Scale ◽

Canadian Arctic ◽

Shoreline Change ◽

Anthropogenic Activity ◽

Mackenzie Delta ◽

Shoreline Changes ◽

Landsat Satellite ◽

Vast Area ◽

Over Time

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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

Disaster Advances ◽

10.25303/1411da1324 ◽

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.

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Shoreline Change Analysis along the Udupi-Dakshina Kannada Coastal Stretch in Karnataka, West Coast of India using DSAS

Sustainability Agri Food and Environmental Research ◽

10.7770/safer-v10n1-art2536 ◽

2021 ◽

Vol 10 (1) ◽

Author(s):

N.A. Anjita ◽

G.S. Dwarakish

Keyword(s):

Remote Sensing ◽

West Coast ◽

Shoreline Change ◽

Sediment Supply ◽

Shoreline Changes ◽

West Coast Of India ◽

Erosion Rates ◽

Wide Range ◽

Cyclic Changes ◽

Accretion And Erosion

Study of morphological variations and the effects of oceanographic processes such as erosion and accretion at different temporal scales are important to understand the nature of the coast and the cyclic changes occurring during different seasons. The Udupi-Dakshina Kannada coast along the west coast of India exhibits a wide range of changes depending on the interactions of tide and wave energy, sediment supply and more importantly human intervention. In view of this, the present work has been carried out to study the changes in shoreline changes along the Udupi-Dakshina Kannada coast over a period of 29 years from 1990 to 2019. Remote Sensing and GIS techniques have been used to demarcate shorelines and calculate the shoreline change rates. Overall accretion and erosion rates were found to be 1.28 m/year and 0.91 m/year respectively along the coast. Highest accretion and erosion rates of 12.57 m/year and 5.34 m/year was noticed along the Dakshina Kannada coast. The study also suggests that multi-dated satellite data along with statistical techniques can be effectively used for prediction of shoreline changes. Keywords: remote sensing, GIS, Dakshina Kannada coast, oceanography, shoreline.

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Trace Metal Contamination Characteristics and Health Risks Assessment ofCommelina africanaL. and Psammitic Sandflats in the Niger Delta, Nigeria

Applied and Environmental Soil Science ◽

10.1155/2016/8178901 ◽

2016 ◽

Vol 2016 ◽

pp. 1-14 ◽

Cited By ~ 5

Author(s):

Nsikak U. Benson ◽

Paul A. Enyong ◽

Omowunmi H. Fred-Ahmadu

Keyword(s):

Trace Metal ◽

Niger Delta ◽

Anthropogenic Activities ◽

Hazard Quotient ◽

Risk Index ◽

Sediment Quality ◽

Hazard Index ◽

Adult Males ◽

Metal Concentrations ◽

Metal Levels

The purpose of this study was to investigate and quantify trace metal concentrations inCommelina africanaL. and psammitic sandflats from an intertidal coastal ecosystem in Niger Delta, Nigeria, and to evaluate their spatial distribution, degree of contamination, and source apportionment. The environmental risks associated with soil contamination were elaborately assessed using potential ecological risk index, sediment quality guidelines, and enrichment relative to background levels. The mean concentrations of Cd, Cr, Ni, Pb, and Zn in sandflat soil samples are0.76±9.0×10-2,7.39±8.7×10-1,2.28±0.35,0.024±4.0×10-3, and74.51±2.55 mg/kg, respectively. Metal levels indicate strong variability with sampling sites. The order of trace metal concentrations in theCommelina africanaL. samples isZn>Ni>Cr>Pb>Cd. The concentrations varied with the sample locations; and the levels of Pb (0.05 to 0.08 mg/kg) at all locations are found to be significantly below permissible level of 0.3 mg/kg. Potential sources of metal loadings may be associated with localised or diffused anthropogenic activities. The average carcinogenic risks are below1.0×10-6threshold values, and the sandflat soils are not considered to pose significant health effects to children and adult males and females. However, the carcinogenicity and noncarcinogenicity risks ranking decrease following the orderchildren>adult males>adult females. Comparatively, the hazard quotient and hazard index indicate that the psammitic sandflats might pose a health risk to children in future.

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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 ◽

10.15625/0866-7187/42/4/15410 ◽

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.

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Spatial Analysis of Coastline Change by Remote Sensing in the North Coast of Karawang Regency

Jurnal Geografi Lingkungan Tropik ◽

10.7454/jglitrop.v3i2.71 ◽

2020 ◽

Vol 3 (2) ◽

Author(s):

Roberto Pasaribu ◽

Firman Agus H. ◽

Liliek Soeprijadi

Keyword(s):

Shoreline Change ◽

Rate Of Change ◽

North Coast ◽

Landsat 8 ◽

Northern Coast ◽

Shoreline Changes ◽

The Road ◽

Coastline Change ◽

The North ◽

Landsat 7

The existence of the coast in the northern part of Karawang Regency is very worrying. Seawater that was far up to tens of meters from the side of the road, is now on the lip of the road, even some parts of the road are cut off due to abrasion of seawater. Some villages were affected by abrasion erosion. One of the effects of damage due to abrasion and sedimentation is the occurrence of shoreline changes. This change in coastline will affect people's lives and spatial planning for the development of the area. For this reason, this study aims to determine the extent and rate of shoreline changes that occurred on the coast of Karawang Regency in the periods of 1989, 1995, 2001, 2005, 2009, 2016, and 2018. The shoreline data was obtained from the extraction of Landsat 3 MSS, Landsat 5 TM, Landsat 7 ETM +, and Landsat 8 OLI-TIRS after the NDWI process was previously carried out. While the rate of change is calculated at 6 sample point locations scattered along the northern coast of Karawang Regency. The results showed that the largest area damaged by abrasion occurred in Sedari Village covering an area of 166.802 hectares, and the area formed by the largest sedimentation occurred in Muara Cilamaya Village at 276,318 hectares. Meanwhile, the fastest rate of shoreline change due to abrasion occurred in Sukajaya Village at 10 meters /year, while the slowest in Sedari Village at 3.77 meters / year. The fastest sedimentation process in Muara Cimalaya Village is 4.5 meters / year, while the late one in Tanjung Pakis Village is 3.09 meters / year.Keywords: Abrasion, Accretion, Coastline Changes, Karawang

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An Approach Based on Landsat Images for Shoreline Monitoring to Support Integrated Coastal Management—A Case Study, Ezbet Elborg, Nile Delta, Egypt

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi9040199 ◽

2020 ◽

Vol 9 (4) ◽

pp. 199 ◽

Cited By ~ 4

Author(s):

Mohamed T. Elnabwy ◽

Emad Elbeltagi ◽

Mahmoud M. El Banna ◽

Mohamed M.Y. Elshikh ◽

Ibrahim Motawa ◽

...

Keyword(s):

Coastal Management ◽

Nile Delta ◽

Accuracy Assessment ◽

Shoreline Change ◽

Coastal Zones ◽

Landsat Images ◽

Change Analysis ◽

Integrated Coastal Management ◽

Rtk Gps ◽

Landsat Satellite

Monitoring the dynamic behavior of shorelines is an essential factor for integrated coastal management (ICM). In this study, satellite-derived shorelines and corresponding eroded and accreted areas of coastal zones have been calculated and assessed for 15 km along the coasts of Ezbet Elborg, Nile Delta, Egypt. A developed approach is designed based on Landsat satellite images combined with GIS to estimate an accurate shoreline changes and study the effect of seawalls on it. Landsat images for the period from 1985 to 2018 are rectified and classified using Supported Vector Machines (SVMs) and then processed using ArcGIS to estimate the effectiveness of the seawall that was constructed in year 2000. Accuracy assessment results show that the SVMs improve images accuracy up to 92.62% and the detected shoreline by the proposed method is highly correlated (0.87) with RTK-GPS measurements. In addition, the shoreline change analysis presents that a dramatic erosion of 2.1 km2 east of Ezbet Elborg seawall has occurred. Also, the total accretion areas are equal to 4.40 km2 and 10.50 km2 in between 1985-and-2000 and 2000-and-2018, respectively, along the southeast side of the study area.

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Remote sensing and gis applications in determining shoreline and surface water quality changes in Bayelsa state, Nigeria

Ethiopian Journal of Environmental Studies and Management ◽

10.4314/ejesm.v10i5.2 ◽

1970 ◽

Vol 10 (5) ◽

pp. 572-587

Author(s):

A.O. Adebola ◽

T.H.T Ogunribido ◽

S.A. Adegboyega ◽

M.O. Ibitoye ◽

A.A Adeseko

Keyword(s):

Remote Sensing ◽

Water Quality ◽

Surface Water ◽

Landsat Imagery ◽

Surface Water Quality ◽

Remote Sensing And Gis ◽

Shoreline Changes ◽

Gis Applications ◽

Gis Environment ◽

Coastal Landform

The study of shoreline changes is essential for updating the changes in shoreline maps and management of natural resources as the shoreline is one of the most important features on the earth’s surface. Shorelines are the key element in coastal GIS that provide information on coastal landform dynamics. The purpose of this paper is to investigate shoreline changes in the study area and how it affects surface water quality using Landsat imagery from 1987 to 2016. The image processing techniques adopted involves supervised classification, object-based image analysis, shoreline extraction and image enhancement. The data obtained was analyzed and maps were generated and then integrated in a GIS environment. The results indicate that LULC changes in wetland areas increases rapidly during the years (1987-2016) from 34.83 to 38.96%, vegetation cover reduces drastically through the year which range from 30% to 20%. Polluted surface water was observed to have decreased from 30% to 20% during 1984-2010 and reduced by about 3% in 2016. In addition, the result revealed the highest level of erosion from 1987 to 2016 which is -49.60% against the highest level of accretion of 13.39% EPR and NSM -1400 erosion against 350 accretions. It was also observed that variations in shoreline changes affect the quality of surface water possibly due to shoreline movement hinterland. This study has demonstrated that through satellite remote sensing and GIS techniques, the Nigerian coastline can adequately be monitored for various changes that have taken place over the years.Key Words: Shoreline, Remote Sensing, Erosion, Accretion, GIS

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Prediction of shoreline change using a numerical model: case of the Kulon Progo Coast, Central Java

MATEC Web of Conferences ◽

10.1051/matecconf/201927004023 ◽

2019 ◽

Vol 270 ◽

pp. 04023

Author(s):

Asrini Chrysanti ◽

Mohammad Bagus Adityawan ◽

Widyaningtyas ◽

Bagus Pramono Yakti ◽

Joko Nugroho ◽

...

Keyword(s):

Numerical Model ◽

Coastal Area ◽

Satellite Image ◽

River Mouth ◽

Shoreline Change ◽

Development Project ◽

Model Case ◽

Shoreline Changes ◽

Central Java ◽

Coastal Process

Kulon Progo Airport is an airport development project located in the coastal area near Yogyakarta, Indonesia, which is expected to complete in 2019. With the increase in population, huge land acquisition will be difficult, so the development of coastal areas for the airport became inevitable. Kulon Progo is located in the disaster-prone zone area of the earthquake and tsunami, the airport design must consider the risk management and mitigation from tsunami and earthquake disaster. Although the airport is already calculated the danger of earthquake and tsunami, the development of the coastal area also needs to consider the danger of the natural coastal process itself such as sedimentation and erosion. Shoreline changes due to the new infrastructure in the coastal area can disrupt the equilibrium of coastal process especially the longshore sediment transport. A satellite image shows that Kulon Progo shoreline retreats over 60 meters due to the heavy sediment longshore transport in the past 10 years. Breakwaters in Tanjung Adikarto fishing port also made a great contribution in huge sedimentation behind the infrastructure up to 90 meters. This research will conduct an analysis trough satellite and numerical model to observe the shoreline changes along Kulon Progo Coast. A numerical model shows a high erosion rate along the coast. High sedimentation also observed at the river mouth of Bogowonto and Serang Rivers.

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