@2024 Afarand., IRAN
ISSN: 2538-4384 Geographical Researches 2020;35(2):177-187
ISSN: 2538-4384 Geographical Researches 2020;35(2):177-187
Geomorphological Monitoring of Bushehr Port Coastline, Iran
ARTICLE INFO
Article Type
Original ResearchAuthors
Sotoudehpour A. (1)Madadi A. (*1)
Asghari Sareskanrood S. (1)
(1) Department of Physical Geography, Faculty of Literature and Humanities, Mohaghegh Ardabili University, Ardabil, Iran
Correspondence
Address: Department of Physical Geography, Faculty of Literature and Humanities, Mohaghegh Ardabili University, End of University Street, Ardabil, Iran. Postal Code:5619911367Phone: +98 (45) 31505659
Fax: +98 (45) 31505536
Article History
Received: April 13, 2020Accepted: June 17, 2020
ePublished: June 18, 2020
ABSTRACT
Aims & Backgrounds
The purpose of this research was to analyze the coastline changes, sedimentation, and erosion in Bushehr coastline using TM, ETM+, OLI from 1976 to 2018.
Methodology This is an applied case study that used satellite imagery, geological maps, and meteorological information as well as field observations. Pre-processing, processing, and visualization of satellite images were done using ENVI5.3 software. The images were classified using the supervised classification method and the maximum likelihood algorithm. Finally, the changes detected was analyzed. To determine the hydraulic and hydrostatic specification of the study area, the coefficient of curvature index was used.
Findings Results showed the maximum length of the coastline was 200 kilometers in 2018 while it was 122 kilometers in 1976. The length of the coastline has increased during all study periods. Human activities have played the most important role in coastal change. Some structures and installations have caused an imbalance between erosion and sedimentation, which made changes in width and length of the coast in some parts of canals, and Khor. For the quantitative analysis of coastline change, the coefficient of curvature index was used to compare the studied years.
Conclusion Results of the research showed that most of the changes have been coastline retreat. Increasing the number of arches in the range of more than 2 (curvature coefficient) in 1986, 2018, and 2018 indicates a non-equilibrium which is a consequence of human activities as well as natural factors. Increasing sea level as a result of this region’s gentle slop and human interference may cause serious challenges and environmental threats.
Methodology This is an applied case study that used satellite imagery, geological maps, and meteorological information as well as field observations. Pre-processing, processing, and visualization of satellite images were done using ENVI5.3 software. The images were classified using the supervised classification method and the maximum likelihood algorithm. Finally, the changes detected was analyzed. To determine the hydraulic and hydrostatic specification of the study area, the coefficient of curvature index was used.
Findings Results showed the maximum length of the coastline was 200 kilometers in 2018 while it was 122 kilometers in 1976. The length of the coastline has increased during all study periods. Human activities have played the most important role in coastal change. Some structures and installations have caused an imbalance between erosion and sedimentation, which made changes in width and length of the coast in some parts of canals, and Khor. For the quantitative analysis of coastline change, the coefficient of curvature index was used to compare the studied years.
Conclusion Results of the research showed that most of the changes have been coastline retreat. Increasing the number of arches in the range of more than 2 (curvature coefficient) in 1986, 2018, and 2018 indicates a non-equilibrium which is a consequence of human activities as well as natural factors. Increasing sea level as a result of this region’s gentle slop and human interference may cause serious challenges and environmental threats.
CITATION LINKS
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[25]Shakor A, Ejtemaee B, Porbar, Z (2019). Sustainable coastal zoning using fuzzy method (case study: Qeshm Island). Journal of Regional Planning. 9(35):85-94.
[26]Shayan S, Zare G, Yamani M, Sharifinia M, Soltanpor M (2016). Analyses of the land morpho dynamic effects on the formation and expanding of mond delta (Bushehr Province). Journal of Natural Geography. 8(27):39-56. [Persian]
[27] Sotoudeh pour A, Madadi A, Asghari S (2019). Comparing of water extraction indexes using landsat 8 and sentinel A2 images case study: Boushehr Shoreline. Journal of Marine Science Technology. in Press [Persian]
[28]Tamassoki E, Amiri H, Soleymani Z (2016). Monitoring of shoreline changes using remote sensing (case study: coastal city of Bandar Abbas). Earth and Environmental Science 20:012023.
[29]Wilson PA (1997). Rule-based classification of water in landsat MSS image using the Variance filter. Photogrammetry and Remote Sensing. 63(5):485-491.
[30]Zarghami M (2011). Effective watershed management; case study of Urmia lake Iran. Journal Lake and Reservior Management. 27(1):87-94.
[31]Zhu X (2001). Remote sensing monitoring of coastline change in Pearl River estuary. Paper Presented at 22nd Asian Conference on Remote Sensing. 2001, 5-9 Novmber: Singapore. pp. 1-5.
[2]Akbarinasab M, Safarrad T, Akbarzadeh M (2017). Detection of coastline using satellite image-rocePssing technique Quarterly Journal of Environmental Erosion Research. 7(4):58-81. [Persian]
[3]Alavipanah K (2018). Application of remote sensing in the earth sciences (soil). 2nd ed. Tehran: University of Tehran press. [Persian]
[4]Alavipanah K (2015). The principles of modern remote sensing and interpretation of satellite images and aerial photographs. 3rd ed. Tehran: University of Tehran press. [Persian]
[5]Allesheikh A, Mohamadi A, Ghorbanali A (2004). Monitoring coast line of uremia lake using remote sensing. Geographical Science. 4(4):9-25. [Persian]
[6]Bird E (2016). Coastal Geomorphology. 2nd ed. New Jersey: WILEY Publiction.
[7]Chander G, Markham B, Helder D (2009). Summary of current radiometric calibration coefficients for landsat MSS, TM, ETM+, and EO-1 ALI Sensors. Remote Sensing of Environment. 113(5):893-903.
[8]Derafshi K, Sadogh SH (2014). Assessment of coastal vulnerability to rising seawater in Babolsar. Journal of Spatial Analysis Environmental Hazards. 1(3):1-12. [Persian]
[9]Ebadati N, Razavian F, Khoshmanesh B (2019). Investigating the trend of coastline changes in the port of Asalouyeh to Bandar Deir using RS and GIS techniques. Ecohydrology. 5(2):653-662. [Persian]
[10]Hashemi N, Akbarinasab M, Safarrad T (2018). The detection of the plume of the Arvand River using satellate images. Journal of hydrogeomorphology. 4(13):147-164. [Persian]
[11]Jawak S.D, Kulkarni K, Luis AJ (2015). A review on extraction of lakes from remotely sensed optical satellite data with a special focus on Cryospheric lakes. Advances in Remote Sensing. 4(3):196-213.
[12]Jiang C, Shaw k, Upperman C, Blythe D, Mitchell C, Murtugudde R, Sapkota A, et al (2015). Climate change, extreme events and increased risk of salmonellosis in Maryland, USA: Evidence for coastal vulnerability. Environment International. 83:58-62.
[13]Jupp D (1988). Background and extensions to depth of penetration (DOP) mapping in shallow coastal waters. Proceedings of the Symposium on Remote Sensing of the Coastal Zone, International Symposium. 1988: Day, Month: Australia, Gold Coast.
[14]Kakroodi A A, Kroonenberg S B, Goorabi A, Yamani M (2014). Shoreline response to rapid 20th century sea-level change along the Iranian Caspian coast. Journal of Coastal Research. 30(6):1243-1250.
[15]Kumar L, Ghosh MK (2012). Land cover change detection of Hatiya Island, Bangladesh, using remote sensing techniques. Journal of Applied Remote Sensing. 6(1):063608.
[16]Mobasheri M (2014). Principles of physics in remote sensing and satellate technology. Tehran: Khaje Nasir University of Technology Publishers. [Persian].
[17]Naemi A, Ghohroudi tali, M, Servati, M (2010). Monitoring changes in the coastline and geomorphological landforms of the Persian Gulf using remote sensing techniques and geographic information systems (Case study: Assaluyeh coastal region). EGU General Assembly. [Persian]
[18]Negahban S, Rostami D, Ganjaeyan H (2017). Monitor shoreline changes using remote sensing in coastal areas of Oman from the Chabahar to port Tang. Quantitative Geomorphological Research. 5(1):27-42. [Persian]
[19]Negahban S, Bagheri K, Heydari S, Gharosi, L (2018). Survey and monitoring shoreline changes Oman Sea in Jask area. Quantitative Geomorphological Research. 6(1):119- 136. [Persian]
[20]Rasuly A, Naghdifar R, Rasoli M (2010). Monitoring of Caspian sea coastline changes using object- oriented techniques. Procedia Environmental Science. 2:416-426.
[21]Razmi M, Asgari MH, Dadolahi-Sohrab A, Nazemossadat MJ, Khazaei H (2017). Assessing changes shoreline in Dayyer city using the Landsat satellite data, sensor TM and OLI 1991 and 2014 years. Journal of Marine Science and Technology. 16(4):1-12. [Persian]
[22]Razmi M, Asgari MH, Dadolahi-Sohrab A, Nazemossadat MJ, Khazaei H (2017). Evaluation of the optimum index and MNDWI in examining coastline changes in the northern Persian Gulf (Case study: Dayyer). RS & GIS for Natural Resources. 8(1):52-65. [Persian]
[23]Chethnamilselvan S, Kakara RS, Rajan B (2013). Assessment of shoreline change along Karantaka coast, India using GIS & remote sensing techniques. Indian Journal of Marine Scinces. 43(7).
[24]Servati MR, Mansouri R, Ghahroodi M, Naeimi A (2017). The assessment of coastline changes in the south east coasts of the Caspian Sea during 1987-2015. Quantitative Geomorphological Research. 6(2):15-28. [Persian]
[25]Shakor A, Ejtemaee B, Porbar, Z (2019). Sustainable coastal zoning using fuzzy method (case study: Qeshm Island). Journal of Regional Planning. 9(35):85-94.
[26]Shayan S, Zare G, Yamani M, Sharifinia M, Soltanpor M (2016). Analyses of the land morpho dynamic effects on the formation and expanding of mond delta (Bushehr Province). Journal of Natural Geography. 8(27):39-56. [Persian]
[27] Sotoudeh pour A, Madadi A, Asghari S (2019). Comparing of water extraction indexes using landsat 8 and sentinel A2 images case study: Boushehr Shoreline. Journal of Marine Science Technology. in Press [Persian]
[28]Tamassoki E, Amiri H, Soleymani Z (2016). Monitoring of shoreline changes using remote sensing (case study: coastal city of Bandar Abbas). Earth and Environmental Science 20:012023.
[29]Wilson PA (1997). Rule-based classification of water in landsat MSS image using the Variance filter. Photogrammetry and Remote Sensing. 63(5):485-491.
[30]Zarghami M (2011). Effective watershed management; case study of Urmia lake Iran. Journal Lake and Reservior Management. 27(1):87-94.
[31]Zhu X (2001). Remote sensing monitoring of coastline change in Pearl River estuary. Paper Presented at 22nd Asian Conference on Remote Sensing. 2001, 5-9 Novmber: Singapore. pp. 1-5.