A shoreline management plan for Iranian coastlines

Dibajnia, Mohammad; Soltanpour, Mohsen; Vafai, Freydoon; Jazayeri, Amir; Kebriaee, Alireza

doi:10.1016/j.ocecoaman.2012.02.012

Cited by 26 publications

(9 citation statements)

References 11 publications

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“…Fig. 14 shows the major littoral cells along the Iranian coastlines (Dibajnia et al, 2012). It is observed that north of Deylam Bay is the boundary between cell 1 and cell 2.…”

Section: Resultsmentioning

confidence: 99%

A Study on the Sand-Mud Mixture at North-West of the Persian Gulf

Khaleghi¹,

Soltanpour

Haghshenas³

2014

Int. Conf. Coastal. Eng.

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A numerical model is used for simulating the transportation process of sand-mud mixture at Shah-Abdollah Port located on the north-western shoreline of the Persian Gulf. Available hindcast wave data were adopted in combination with tidal water level variations as the boundary conditions of the numerical model. The existing extracted shoreline changes around Shah-Abdollah Port through GIS analysis of satellite images were used to assess the general morphological changes in the study area. The modeling results of sediment transport shows that the net longshore sediment transport at both sides of the port reduces to very small values near the port location implying that this location is acting as a null net drift point dividing the eastern sandy and western muddy coastlines.

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“…Fig. 14 shows the major littoral cells along the Iranian coastlines (Dibajnia et al, 2012). It is observed that north of Deylam Bay is the boundary between cell 1 and cell 2.…”

Section: Resultsmentioning

confidence: 99%

A Study on the Sand-Mud Mixture at North-West of the Persian Gulf

Khaleghi¹,

Soltanpour

Haghshenas³

2014

Int. Conf. Coastal. Eng.

Self Cite

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“…Semi-empirical SLR models have been used to project sea-level changes (e.g., Rahmstorf 2007;Grinsted et al 2010;Church et al 2013;Moore et al 2013) and inform risk-and-decision analysis (e.g., Heberger et al 2009;Dalton et al 2010;Neumann et al 2011;Dibajnia et al 2012;McInnes et al 2013). Here, we present results using a simple sea-level model (i.e., sea level responds only to changes in temperature) to quantify the effects of neglecting known observational properties (i.e., autocorrelated and heteroskedastic residuals).…”

Section: Discussionmentioning

confidence: 99%

The effects of time-varying observation errors on semi-empirical sea-level projections

et al. 2016

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Sea-level rise is a key driver of projected flooding risks. The design of strategies to manage these risks often hinges on projections that inform decisionmakers about the surrounding uncertainties. Producing semi-empirical sea-level projections is difficult, for example, due to the complexity of the error structure of the observations, such as time-varying (heteroskedastic) observation errors and autocorrelation of the data-model residuals. This raises the question of how neglecting the error structure impacts hindcasts and projections. Here, we quantify this effect on sea-level projections and parameter distributions by using a simple semi-empirical sea-level model. Specifically, we compare three model-fitting methods: a frequentist bootstrap as well as a Bayesian inversion with and without considering heteroskedastic residuals. All methods produce comparable hindcasts, but the parametric distributions and projections differ considerably based on methodological choices. Our results show that the differences based on the methodological choices are enhanced in the upper tail projections. For example, the Bayesian inversion accounting for heteroskedasticity increases the seaClimatic Change (2017) level anomaly with a 1% probability of being equaled or exceeded in the year 2050 by about 34% and about 40% in the year 2100 compared to a frequentist bootstrap. These results indicate that neglecting known properties of the observation errors and the datamodel residuals can lead to low-biased sea-level projections.

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“…Silva and Ghilardi-Lopez (2012) has identified the one impact of tourism to the beaches, especially those caused by tourist as improper disposal of solid waste that attracts animals, fungi, bacteria which leaves an uncomfortable smell in the surrounding areas. Poor solid waste management and high residential density further escalates the effect of solid waste on beaches (Davies and Cahill, 2000;Dibajnia et al, 2012).…”

Section: Impacts Of Tourism On Environmental Attributes Of Small Islandsmentioning

confidence: 99%

Impacts of Tourism on Environmental Attributes, Environmental Literacy and Willingness to Pay: A Conceptual and Theoretical Review

Ramdas

Bahaj

2014

Procedia - Social and Behavioral Sciences

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The purpose of this paper is to review conceptually and theoretically on the interrelation between impacts of tourism towards environmental attributes of small islands and environmental literacy with willingness to pay. Firstly, the impacts of tourism on environmental attributes such coral reefs, water, fisheries and beaches are discussed briefly. The impacts of tourism towards environmental attributes range derives from tourism activities such as boating, snorkelling, diving and fishing. Improper and irresponsible behaviour of tourist is also believed to be a significant reason that contributes to detrimental effects on the environmental attributes. The different mindset of tourist derives from the different level of environmental literacy that they have. The concept environmental literacy that consists of not only knowledge on the environment and its issues but also includes disposition components of attitudes, sensitivity and motivation are discussed thoroughly. Intention to act or intended behaviour that is explored in this paper would be the concept of willingness to pay for the environmental attributes. The different use and non-values which is basis of the economic valuation of willingness to pay are explained. The two main techniques than can be used to capture use and non-use values of environmental attributes known as revealed and stated preference is also discussed. Choice Experiment is stated preference approach that is able estimate WTP by minimizing the biases presented by other approaches is reviewed. Two main theories are used in the concept of willingness to pay which is the theory of value by Lancaster (1966) and random utility theory by Thurstone (1927). The theory of reasoned action (TRA) is the theory used to explain in overall the relationship between knowledge, attitude and behavioural intentions and used to form a framework that relates environmental literacy and willingness to pay.

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A shoreline management plan for Iranian coastlines

Cited by 26 publications

References 11 publications

A Study on the Sand-Mud Mixture at North-West of the Persian Gulf

A Study on the Sand-Mud Mixture at North-West of the Persian Gulf

The effects of time-varying observation errors on semi-empirical sea-level projections

Impacts of Tourism on Environmental Attributes, Environmental Literacy and Willingness to Pay: A Conceptual and Theoretical Review

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