Spatiotemporal shoreline change in Boushehr Province coasts, Iran

Saeed ZEINALI; Nasser TALEBBEYDOKHTI; Maryam DEHGHANI

doi:10.1007/s00343-019-8373-9

Your Location：

Home >

Browse articles >

Spatiotemporal shoreline change in Boushehr Province coasts, Iran

Physics | Updated：2023-05-19

- Spatiotemporal shoreline change in Boushehr Province coasts, Iran
- Spatiotemporal shoreline change in Boushehr Province coasts, Iran
- 海洋湖沼学报（英文） 2020年38卷第3期页码：707-721
- Affiliations：
  
  Department of Civil & Environmental Engineering, School of Engineering, Shiraz University, Shiraz 71348-51156, Iran
- Author bio：
  
  Saeed ZEINALI, zeinali.saeed@shirazu.ac.ir
- Funds：
  
  © Chinese Society for Oceanology and Limnology, Science Press and Springer-Verlag GmbH Germany, part of Springer Nature 2020
- DOI：10.1007/s00343-019-8373-9
  中图分类号：
- 收稿：2019-01-11，
  
  录用：2019-5-6，
  
  网络首发：2019-07-03，
  
  纸质出版：2020-05
- Accepted：
Scan QR Code
Spatiotemporal shoreline change in Boushehr Province coasts, Iran[J]. 海洋湖沼学报（英文）, 2020,38(3):707-721.

Saeed ZEINALI, Nasser TALEBBEYDOKHTI, Maryam DEHGHANI. Spatiotemporal shoreline change in Boushehr Province coasts, Iran[J]. Journal of Oceanology and Limnology, 2020, 38(3): 707-721.
Spatiotemporal shoreline change in Boushehr Province coasts, Iran[J]. 海洋湖沼学报（英文）, 2020,38(3):707-721. DOI： 10.1007/s00343-019-8373-9.

Saeed ZEINALI, Nasser TALEBBEYDOKHTI, Maryam DEHGHANI. Spatiotemporal shoreline change in Boushehr Province coasts, Iran[J]. Journal of Oceanology and Limnology, 2020, 38(3): 707-721. DOI： 10.1007/s00343-019-8373-9.

摘要

Abstract

Since coastal areas have highly dynamic nature and are one of the most beneficial regions of civilizations

it is of great significance to understand their characteristics and behavior. Changes in shorelines in the form of accretion and erosion can leave devastating effects on businesses and cities located along the shore. In this study

we statistically calculated the tendency of shoreline changes by processing and analyzing historical satellite images of Boushehr Province

Iran. Results show that these shores have experienced both sedimentation and erosion in the past 30 years. Net shoreline movement presents more than 350 m of erosion and 650 m of accretion

which are corresponded to change rates of almost 12 and 22 m/a

respectively. Statistics of shoreline changes are calculated from regression methods including end point rate

linear regression rate

weighted linear regression

and least median of squares. The best-performed method is applied to predict the shoreline position in 2050 and 2100. Potential locations of excessive changes are identified for the predicted shorelines

which should be dealt with properly.

关键词

Keywords

references

Adamo F, De Capua C, Filianoti P, Lanzolla A M L, Morello R. 2014. A coastal erosion model to predict shoreline changes. Measurement, 47:734-740.

Addo K A, Walkden M, Mills J P. 2008. Detection, measurement and prediction of shoreline recession in Accra, Ghana.ISPRS Journal of Photogrammetry and Remote Sensing, 63(5):543-558.

Banno M, Kuriyama Y. 2014. Prediction of future shoreline change with sea-level rise and wave climate change at Hasaki, Japan. Coastal Engineering, 34:1-10.

Castelle B, Guillot B, Marieu V, Chaumillon E, Hanquiez V, Bujan S, Poppeschi C. 2018. Spatial and temporal patterns of shoreline change of a 280-km high-energy disrupted sandy coast from 1950 to 2014:SW France. Estuarine, Coastal and Shelf Science, 200:212-223.

Chalabi A, Mohd-Lokman H, Mohd-Suffian I, Karamali M, Karthigeyan V, Masita M. 2006. Monitoring shoreline change using IKONOS image and aerial photographs: a case study of Kuala Terengganu area, Malaysia. In : Proceedings of the ISPRS Mid-Term Symposium Proceeding. Enschede, Netherlands.

Chen L C, Rau J Y. 1998. Detection of shoreline changes for tideland areas using multi-temporal satellite images.International Journal of Remote Sensing, 19(17):3 383-3 397.

Chen W W, Chang H K. 2009. Estimation of shoreline position and change from satellite images considering tidal variation. Estuarine, Coastal and Shelf Science, 84(1):54-60.

Ciritci D, Türk T. 2019. Automatic detection of shoreline change by geographical information system (GIS) and remote sensing in the Göksu Delta, Turkey. Journal of the Indian Society of Remote Sensing, 47(2):233-243.

Davidson M A, Lewis R P, Turner I L. 2010. Forecasting seasonal to multi-year shoreline change. Coastal Engineering, 57(6):620-629.

De Myttenaere A, Golden B, Le Grand B, Rossi F. 2016. Mean absolute percentage error for regression models.Neurocomputing, 192:38-48.

Douglas B C, Crowell M. 2000. Long-term shoreline position prediction and error propagation. Journal of Coastal Research, 16(1):145-152.

Ebadati N, Razavian F, Khoshmanesh B. 2018. Investigating the trend of coastline changes in the port of Asalouyeh to Bandar Deir using RS and GIS techniques. Iranian Journal of Echohydrology, 5(2):653-662.

Genz A S, Fletcher C H, Dunn R A, Frazer L N, Rooney J J. 2007. The predictive accuracy of shoreline change rate methods and alongshore beach variation on Maui, Hawaii.Journal of Coastal Research, 23(1):87-105.https://doi.org/10.2112/05-0521.1.

Guariglia A, Buonamassa A, Losurdo A, Saladino R, Trivigno M L, Zaccagnino A, Colangelo A. 2006. A multisource approach for coastline mapping and identification of shoreline changes. Annals of Geophysics, 49(1):295-304.

Kaewpoo N, Nakhapakorn K, Pumijunong N, Silapathong C. 2012. The integration of GIS and mathematical model for shoreline prediction. In : The 33 rd Asian Conference on Remote Sensing.

Kalantari N, Sajadi Z, Makvandi M, Keshavarzi M R. 2012.Chemical properties of soil and groundwater of the Assaluyeh alluvial plain with emphasis on heavy metals contamination. J. Geotechnical Geology (Applied Geology), 7(4):333-342.

Kaminsky G M, Buijsman M C, Ruggiero P. 2000. Predicting shoreline change at decadal scale in the Pacific Northwest, USA. In : 7 th International Conference on Coastal Engineering. ASCE, Sydney, Australia. p.2 400-2 413.

Kermani S, Boutiba M, Guendouz M, Guettouche M S, Khelfani D. 2016. Detection and analysis of shoreline changes using geospatial tools and automatic computation:Case of jijelian sandy coast (East Algeria). Ocean & Coastal Management, 132:46-58.

Kuleli T, Guneroglu A, Karsli F, Dihkan M. 2011. Automatic detection of shoreline change on coastal Ramsar wetlands of Turkey. Ocean Engineering, 38(10):1 141-1 149.

Leont'yev I O. 2012. Predicting shoreline evolution on a centennial scale using the example of the Vistula (Baltic)spit. Oceanology, 52(5):700-709.

Maiti S, Bhattacharya A K. 2009. Shoreline change analysis and its application to prediction:A remote sensing and statistics based approach. Marine Geology, 257(1-4):11-23.

Mani J S, Murali K, Chitra K. 1997. Prediction of shoreline behaviour for Madras, India-a numerical approach. Ocean Engineering, 24(10):967-984.

McFeeters S K. 1996. The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7):1 425-1 432.

Miller J K, Dean R G. 2004. A simple new shoreline change model. Coastal Engineering, 51(7):531-556.

Mills J P, Buckley S J, Mitchell H L, Clarke P J, Edwards S J. 2005. A geomatics data integration technique for coastal change monitoring. Earth Surface Processes and Landforms, 30(6):651-664.

Mishra V N, Prasad R, Kumar P, Gupta D K, Agarwal S, Gangwal A. 2019. Assessment of spatio-temporal changes in land use/land cover over a decade (2000-2014) using earth observation datasets:A case study of Varanasi district, India. Iranian Journal of Science and Technology, Transaction of Civil Engineering, 43(S1):383-401, https://doi.org/10.1007/s40996-018-0172-6

Moosavi L, Ab Ghafar N, Mahyuddin N. 2016. Investigation of thermal performance for Artia:a method overview.MATEC Web of Conference, 66:00029.

Moussaid J, Fora A A, Zourarah B, Maanan M, Maanan M. 2015. Using automatic computation to analyze the rate of shoreline change on the Kenitra coast, Morocco. Ocean Engineering, 102:71-77.

Qiao G, Mi H, Wang W A, Tong X H, Li Z B, Li T, Liu S J, Hong Y. 2018.55-year (1960-2015) spatiotemporal shoreline change analysis using historical DISP and Landsat time series data in Shanghai. International Journal of Applied Earth Observation and Geoinformation, 68:238-251.

Richards J A. 2013. Remote Sensing Digital Image Analysis: An Introduction. 5 th edn. Springer Heidelberg, New York.

Sami S, Soltanpour M, Lak R. 2010. Sedimentology of the west coastlines of Nayband Bay and the impact of carbonate sediments on the sedimentation in Asaluyeh Fishery Port. Journal of Marine Engineering, 6(11):45-57.

Santra A, Mitra D, Mitra S. 2011. Spatial modeling using high resolution image for future shoreline prediction along Junput Coast, West Bengal, India. Geo-Spatial Information Science, 14(3):157-163.

Scott D B. 2005. Encyclopaedia of Coastal Sciences. Springer, Netherlands.

Singh A. 1989. Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10(6):989-1 003.

Stive M J F, Aarninkhof S G J, Hamm L, Hanson H, Larson M, Wijnberg K M, Nicholls R J, Capobianco M. 2002.Variability of shore and shoreline evolution. Coastal Engineering, 47(2):211-235.

Stive M J F, Ranasinghe R, Cowell P. 2009. Sea level rise and coastal erosion. In : Kim Y C ed. Handbook of Coastal and Ocean Engineering. World Scientific, Los Angeles, USA.p.1 023-1 038.

Thieler E R, Himmelstoss E A, Zichichi J L, Ergul A. 2009.Digital Shoreline Analysis System (DSAS) version 4.0-An ArcGIS extension for calculating shoreline change. U.S. Geological Survey Open-File Report 2008-1278, Current Version 4.3. U.S. Geological Survey.

Vitousek S, Barnard P L, Limber P L, Erikson L, Cole B. 2017.A model integrating longshore and cross-shore processes for predicting long-term shoreline response to climate change. Journal of Geophysical Research:Earth Surface, 122(4):782-806.

Winarso G, Judijanto A, Budhiman S. 2011. The potential application remote sensing data for coastal study. In : Paper Presented at the 22nd Asian Conference on Remote Sensing. Singapore.

Yamani M, Rahimi Harabadi S, Goudarzi Mehr S. 2011.Periodic changes of the east Strait of Hormuz shore line by remote sensing. Environmental Erosion Researches, Hormozgan University.

Yamano H, Shimazaki H, Matsunaga T, Ishoda A, McClennen C, Yokoki H, Fujita K, Osawa Y, Kayanne H. 2006.Evaluation of various satellite sensors for waterline extraction in a coral reef environment:Majuro Atoll, Marshall Islands. Geomorphology, 82(3-4):398-411.

Zeinali S, Dehghani M, Rastegar M A, Mojarrad M. 2017.Detecting shoreline changes in Chabahar bay by processing satellite images. Scientia Iranica, 24(4):1 802-1 809.

Zeinali S, Talebbeydokhti N, Saeidian M, Vosough S. 2016.Modeling of bed level changes in Larak Island. In : Proc. 18 th Int. Conf. on Coastal and Ocean Eng., London.

浏览量

Downloads

CSCD

文章被引用时，请邮件提醒。

Submit

工具集

关联资源

Distribution, source, and sink of microplastics in the nearshore-estuarine systems of the South China Sea basin

Chemical weathering and hydrological control of the silicon concentration and morphology in the Huanghe River Basin

Regional geochemical baseline establishment, heavy metal pollution assessment and investigation of its variation in response to human activities in mangrove intertidal sediments in Hainan, China

Vertical distribution of microplastics in coastal sediments of Xuwen Coral Reef National Nature Reserve, China

Tidal variability and microplastics distribution: source analysis in Dongshan Bay beach sediments, South China