LONG-TERM SHORELINE DETECTION AND MEASUREMENT IN BOUSHEHR PROVINCE, IRAN

سال انتشار: 1397
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 297

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شناسه ملی سند علمی:

ICOPMAS13_091

تاریخ نمایه سازی: 6 بهمن 1397

چکیده مقاله:

There has been so many methods in studying coastal and shoreline evolution. Each has been used in so many studies and their performances have been reported inliterature. Some of these methods could pointed out as numerical models based on historical data, Mote-Carlo, mathematical models, models based on regime equationsand models using data assimilation [7, 8, 9, 10, 11 & 12]. Although, these methods are very reliable, but they might have some defects. The need for huge amount of inputdata, which are mostly field data, increases the computational cost and effort for modeling. The fact that field data for shoreline modeling usually must be obtainedin the same time of each year, makes useless some of the historically recorded data. Fairly most of these models are site-specific and could be used for a particular area. Due tocomplexity of coastal and the significance of affecting parameters, these models may exclude some parameters for the sake of simplification.Improvements in coastal studies suggests that remote sensing (RS) and geographical information system (GIS) are very useful tools and make the studies easier [13].Application of satellite images simply provides images of study area for the desired time period and acquisition date [14]. Also, these images have recorded the effect of alldominant parameters on the coastal area and shoreline. Therefore, no unnecessary simplifying assumption is needed. Furthermore, the fact the satellite images areavailable for any area that the study might be, makes it globally applicable.

نویسندگان

Saeed Zeinali

Civil & Environmental Engineering, Shiraz University, Shiraz, Iran

Maryam Dehghani

Civil & Environmental Engineering, Shiraz University, Shiraz, Iran

Naser Talebbeydokhti

Professor, Civil & Environmental Engineering, Shiraz University, Shiraz, Iran,