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      KCI등재 SCIE SCOPUS

      Field Study of Longshore Sediment Transport Rate Estimation over the Newly-Developed Coastline of Northern Oman Sea

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      https://www.riss.kr/link?id=A108505828

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      다국어 초록 (Multilingual Abstract)

      Estimations of sediment transport rate is the prerequisite of coastal development and management studies, as accretion and erosion are among main controlling considerations for port planning. The Iranian coastline of the Oman Sea, which is so-called Makran Coastline, has a complex morpho-dynamic behavior and should be considered from both scientific importance and its high potential for development in the next decade. It is while morpho-dynamic perspective of the area is not well studied so far. On the other hand, the wave climate of the area is affected by different regimes: monsoon waves, normal seas, swells coming from the Indian Ocean and tropical cyclones. There are limited researches on the contribution of each regime on the longshore sediment transport with considering the sensitivity to deep water wave direction variability. This study aims to put different pieces of knowledge together, including field measurements, numerical modeling and Geographic Information System-based (GIS-based) analysis of multi-year cross-shore profile data, to obtain a more realistic estimation of Longshore Sediment Transport (LST) rate along the un-developed Makran Coastline. The focus of this paper is mostly on the accurate wave and sediment transport modeling, verified against available field data and morphological evidences. The major challenge in this regard has been the lack of long-term data availability, as the coastline has been remained undeveloped. This has been overcome by adopting satellite imagery as a complementary source to the available periodic hydrography data, as well as data science methods for improving wave data accuracy. A numerical model is applied for simulating the transportation process of sediments along Makran Coastline. The existing extracted shoreline changes around Makran Coastline through GIS analysis of satellite images were used to assess the general morphological changes in the study area. All the simulation and coastline change analysis results are adopted for obtaining an integrated conclusion in Zarabad Port as the case study of this research. The obtained results were in fair agreement with observations and this is why the model setup and study methodology can be applied for LST rate estimations over Makran Coastline.
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      Estimations of sediment transport rate is the prerequisite of coastal development and management studies, as accretion and erosion are among main controlling considerations for port planning. The Iranian coastline of the Oman Sea, which is so-called M...

      Estimations of sediment transport rate is the prerequisite of coastal development and management studies, as accretion and erosion are among main controlling considerations for port planning. The Iranian coastline of the Oman Sea, which is so-called Makran Coastline, has a complex morpho-dynamic behavior and should be considered from both scientific importance and its high potential for development in the next decade. It is while morpho-dynamic perspective of the area is not well studied so far. On the other hand, the wave climate of the area is affected by different regimes: monsoon waves, normal seas, swells coming from the Indian Ocean and tropical cyclones. There are limited researches on the contribution of each regime on the longshore sediment transport with considering the sensitivity to deep water wave direction variability. This study aims to put different pieces of knowledge together, including field measurements, numerical modeling and Geographic Information System-based (GIS-based) analysis of multi-year cross-shore profile data, to obtain a more realistic estimation of Longshore Sediment Transport (LST) rate along the un-developed Makran Coastline. The focus of this paper is mostly on the accurate wave and sediment transport modeling, verified against available field data and morphological evidences. The major challenge in this regard has been the lack of long-term data availability, as the coastline has been remained undeveloped. This has been overcome by adopting satellite imagery as a complementary source to the available periodic hydrography data, as well as data science methods for improving wave data accuracy. A numerical model is applied for simulating the transportation process of sediments along Makran Coastline. The existing extracted shoreline changes around Makran Coastline through GIS analysis of satellite images were used to assess the general morphological changes in the study area. All the simulation and coastline change analysis results are adopted for obtaining an integrated conclusion in Zarabad Port as the case study of this research. The obtained results were in fair agreement with observations and this is why the model setup and study methodology can be applied for LST rate estimations over Makran Coastline.

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      참고문헌 (Reference)

      1 NASA, "Zoomearth's NASA WorldView Imagery"

      2 Maxwell SK, "Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research" 20 : 176-185, 2010

      3 Chen X-Y, "Uncertainty analysis on hybrid double feedforward neural network model for sediment load estimation with LUBE method" 33 (33): 3563-3577, 2019

      4 Alizadeh MJ, "Toward multi-day-ahead forecasting of suspended sediment concentration using ensemble models" 24 (24): 28017-28025, 2017

      5 Tabrez AR, "The issue of coastal erosion and accretion along makran coast of pakistan" 1-11, 2012

      6 IFO, "Report of monitoring analysis and the sedimentation status of Zarabad port" The Department of Study and Construction of Fishing Ports, Iranian Fisheries Organization (IFO) 2009

      7 IFO, "Report of hydrography survey at zarabad port. The Department of Study and Construction of Fishing Ports" Iranian Fisheries Organization (IFO) 2014

      8 Zhou Y, "Real-time probabilistic forecasting of river water quality under data missing situation : Deep learning plus post-processing techniques" 589 : 125164-, 2020

      9 Nairn RB, "Prediction of cross-shore sediment transport and beach profiles evolution"

      10 Jedari Attari M, "Ocean currents modeling along the Iranian coastline of the Oman Sea and the Northern Indian Ocean" 4 : 36-54, 2018

      1 NASA, "Zoomearth's NASA WorldView Imagery"

      2 Maxwell SK, "Use of land surface remotely sensed satellite and airborne data for environmental exposure assessment in cancer research" 20 : 176-185, 2010

      3 Chen X-Y, "Uncertainty analysis on hybrid double feedforward neural network model for sediment load estimation with LUBE method" 33 (33): 3563-3577, 2019

      4 Alizadeh MJ, "Toward multi-day-ahead forecasting of suspended sediment concentration using ensemble models" 24 (24): 28017-28025, 2017

      5 Tabrez AR, "The issue of coastal erosion and accretion along makran coast of pakistan" 1-11, 2012

      6 IFO, "Report of monitoring analysis and the sedimentation status of Zarabad port" The Department of Study and Construction of Fishing Ports, Iranian Fisheries Organization (IFO) 2009

      7 IFO, "Report of hydrography survey at zarabad port. The Department of Study and Construction of Fishing Ports" Iranian Fisheries Organization (IFO) 2014

      8 Zhou Y, "Real-time probabilistic forecasting of river water quality under data missing situation : Deep learning plus post-processing techniques" 589 : 125164-, 2020

      9 Nairn RB, "Prediction of cross-shore sediment transport and beach profiles evolution"

      10 Jedari Attari M, "Ocean currents modeling along the Iranian coastline of the Oman Sea and the Northern Indian Ocean" 4 : 36-54, 2018

      11 Rajamanickam Gowthaman ; V. Sanil Kumar ; Gowdagere Siddaramaish Dwarakish ; P.R. Shanas ; Basanta Kumar Jena ; Jai Singh, "Nearshore waves and longshore sediment transport along Rameshwaram Island offthe east coast of India" 대한조선학회 7 (7): 939-950, 2015

      12 Ardani S, "Modelling of sediment transport in Beris Fishery Port" 48 : 69-82, 2015

      13 Bakhtiari A, "Modeling of last recent tropical storms in the arabian sea" 1 : 58-66, 2018

      14 Arz HW, "Mediterranean moisture source for an early-Holocene humid period in the northern Red Sea" 300 : 118-121, 2003

      15 Dattatri J, "Littoral drifts and maintenance dredging at New Mangalore port" 578-585, 1997

      16 Farhangmehr A, "Investigating morphodynamic changes of Tang Estuary inlet, Iranian coastline of the Oman Sea" 2016

      17 Winterwerp JC, "Introduction to the physics of cohesive sediment dynamics in the marine environment" Elsevier 2004

      18 Zhao Z-D, "Interactions among waves, current, and mud : Numerical and laboratory studies" 29 : 1731-1744, 2006

      19 Krishna KM, "Intensifying tropical cyclones over the North Indian Ocean during summer monsoon-global warming" 65 : 12-16, 2009

      20 Hanson H, "GENESIS: Generalized model for simulating shoreline change" Coastal Engineering Research Center 1989

      21 PGC, "Field measurements report of the 6th phase of monitoring and modeling studies of Iranian coastline" Ports and Maritime Organization (PMO) 2018

      22 Razavi Arab A, "Extreme event wave modeling – Case study of hurricane michael (2018) in the Northern Gulf of Mexico" 2021

      23 Parker K, "Evaluation of bias correction methods for wave modeling output" 110 : 52-65, 2017

      24 Kargar K, "Estimating longitudinal dispersion coefficient in natural streams using empirical models and machine learning algorithms" 14 (14): 311-322, 2020

      25 Shamshirband, S, "Ensemble models with uncertainty analysis for multi-day ahead forecasting of chlorophyll a concentration in coastal waters" 13 (13): 91-101, 2019

      26 Lesser GR, "Development and validation of a three-dimensional morphological model" 51 : 883-915, 2004

      27 Ari HA, "Determination and control of longshore sediment transport : A case study" 34 : 219-233, 2007

      28 "Delft User Manual (2010) Delft3D-FLOW: Simulation of multidimensional hydrodynamic flows and transport phenomena, including sediment. User Manual"

      29 Di K, "Coastal mapping and change detection using high-resolution IKONOS satellite imagery" 2003

      30 Shah-Hosseini M, "Coastal boulders as evidence for high-energy waves on the Iranian coast of Makran" 290 : 17-28, 2011

      31 Lashteh Neshaei MA, "Beach profile evolution in front of a partially reflective structure" Imperial College London (University of London) 1998

      32 Lin T, "Applying satellite data for shoreline determination in tideland areas" 98-103, 2001

      33 Vaselali A, "Analysis of breakwater construction effectson sedimentation pattern" 9 : 3522-3530, 2009

      34 Booij N, "A third-generation wave model for coastal regions : 1. Model description and validation" 104 : 7649-7666, 1999

      35 Tung TM, "A survey on river water quality modelling using artificial intelligence models : 2000 – 2020" 585 : 124670-, 2020

      36 Razavi Arab A, "A surrogate-aided model for nearshore wave estimations over the shallow NGoM waters" 2020

      37 Dibajnia M, "A shoreline management plan for Iranian coastlines" 63 : 1-15, 2012

      38 Evan AT, "A climatology of arabian sea cyclonic storms" 24 : 140-158, 2011

      39 PGC, "30-year wave climate hindcast for the Makran coasts"

      40 National Oceanic and Atmospheric Administration: (NOAA), "2009: ETOPO1 1 Arc-Minute Global Relief Model" NOAA National Centers for Environmental Information

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