Projections of Future Beach Loss due to Sea Level Rise for Sandy Beaches along Thailand's Coastlines

Ritphring, Sompratana; Somphong, Chatuphorn; Udo, Keiko; Kazama, So

doi:10.2112/si85-109.1

Cited by 19 publications

(23 citation statements)

References 16 publications

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“…In Thailand, sandy beaches generally have a small beach width with an average of 34.8 m. Sand particle size on these beaches' averages at 0.3 mm, of which sand particles 0.2-0.5 mm in size cover more than 80% of the beach; further, the beach's foreshore slope ranges between 1-14 • . Figure 2 is adapted from Ritphring et al's [10] study and shows the present beach width and the projections of the future beach width caused by SLR evaluated from Coupled Model Intercomparison Project 5 (CMIP5) as per the 4 RCP scenarios [7]. The histogram distribution of beach width for both existing and projected beaches is shown in Figure 3.…”

Section: Study Areamentioning

confidence: 99%

“…The histogram distribution of beach width for both existing and projected beaches is shown in Figure 3. Figure 4 displays the database of the physical characteristics of sandy beaches including grain size and slope collected in Ritphring et al's [10] study. The beach slope and grain size diameters were obtained from field measurements over 230 locations for all 51 sandy beach zones, as shown in Figure 1.…”

Section: Study Areamentioning

confidence: 99%

“…Further, some studies that investigated the increasing trends of sea level from tide gauges indicated a rise in sea levels in Thailand [8,9] and provided warnings for the safety of Thailand's coastal areas. Further, the IPCC 5th assessment reports projected the regional SLR along Thailand's coastlines to range between 0.39-0.61 m. Recently, Ritphring et al [10] projected sandy beach loss caused by future SLR for all coastlines of Thailand based on four Representative Concentration Pathway (RCP) scenarios, i.e., RCP2.6, RCP4.5, RCP6.0 and RCP8. 5, and reported that, between 2081 and 2100, Thailand will possibly lose 46-72% of the present beach areas.…”

Section: Introductionmentioning

confidence: 99%

“…However, currently, adaptation plans to deal with future SLR in Thailand are lacking. Thus, this study aims to (1) develop a framework for beach nourishment, (2) to estimate the sand volume and costs using Yoshida's method with the results of beach loss projection and beach data set from Ritphring et al's [10] study, (3) to map zonal volume and costs of sand for all sandy beach zones in Thailand in order to be used as a guideline for coastal management planning to deal with SLR.…”

Section: Introductionmentioning

confidence: 99%

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Beach Nourishment as an Adaptation to Future Sandy Beach Loss Owing to Sea-Level Rise in Thailand

Somphong

Udo

Ritphring

et al. 2020

JMSE

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A recent study suggested that significant beach loss may take place on the coasts of Thailand by the end of the 21st century as per projections of sea-level rise by the Intergovernmental Panel on Climate Change (IPCC). The present study adapts a framework and provides broad estimations for sand volumes and costs required to apply beach nourishment to each coastal zone in Thailand using a technique based on the Bruun rule assumption. Results indicate that a minimum of USD 2981 million (the best scenario) to a maximum of USD 11,409 million (the worst scenario) would be required to maintain all sandy beaches at their present width. Further, the effect of filling particle size on beach nourishment was analyzed in this study. The cost of beach nourishment ranges between USD 1983 and 14,208 million when considering filling particle size diameters of 0.5 and 0.2 mm. A zonal sand volume map for all 51 sandy beach zones in Thailand was created for use as an overview to help decision makers develop a more feasible adaptation plan to deal with the future sea-level rise for Thailand.

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Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Beach Nourishment as an Adaptation to Future Sandy Beach Loss Owing to Sea-Level Rise in Thailand

Somphong

Udo

Ritphring

et al. 2020

JMSE

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“…From a previous study, the national beach loss rate projections using the Bruun rule for 2081-2100 are 45.8% for the RCP2.6 scenario and 71.8% for RCP8.5. Also, 23 of 64 beach zones in Thailand will be completely lost [3]. To address these concerns, beach area loss from sea-level rise will be an essential issue for beach tourism.…”

Section: Introductionmentioning

confidence: 99%

Impact of Sea Level Rise on Tourism Carrying Capacity in Thailand

Nidhinarangkoon

Ritphring

Udo

2020

JMSE

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Sea level rise due to climate change affects beaches, which are a source of high recreational value in the economy. The tourism carrying capacity (TCC) assessment is one of the tools to determine the management capacity of a beach. Pattaya beach represents the character of well-known beaches in Thailand, while Chalatat beach represents the character of beaches that are the focus of domestic tourism. To evaluate beach area this study detected the shoreline position using Google Earth images with tidal correction. The Bruun rule was used for shoreline projection. TCC was calculated by using the beach area, correction factors, and management capacity. The results find that the current effective carrying capacity is approximately 200,000 for Pattaya beach and 49,000 for Chalatat beach. Although the Chalatat beach areas are larger than Pattaya, the effective carrying capacity of Pattaya beach is larger than the effective carrying capacity of Chalatat beach for all situations because TCC is affected by beach areas, correction factors, and management capacity. Because beach areas experience the effects of sea-level rise, protection against future beach loss should be considered for coastal management.

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The environment and climate change as a primary stakeholder for accommodation suppliers: Stakeholder engagement for Koh Tao and Koh Phi Phi, Thailand

2023

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This study investigates the potential recognition and engagement of the natural environment as an important factor in strategic investment decisions by accommodation suppliers in a small island context. The investigation, based on empirical data from two Thai islands, Koh Tao and Koh Phi Phi, contributes to the debate if the environment, by focusing on climate change, can be identified as a primary stakeholder for accommodation suppliers. The findings show that strategic investment decisions are influenced by impacts commonly associated with climate change, although a conscious recognition of climate change as a strategic stakeholder or important factor in strategic investment decisions could not be confirmed. Conversely, the element of unconsciousness in the process of recognising climate change in investment decisions sparks questions regarding the degree to which the recognition of business stakeholders requires being a conscious process and if the focus on investments could be another element for stakeholder identification frameworks for businesses.

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Projections of Future Beach Loss due to Sea Level Rise for Sandy Beaches along Thailand's Coastlines

Abstract: BioOne Complete (complete.BioOne.org) is a full-text database of 200 subscribed and open-access titles in the biological, ecological, and environmental sciences published by nonprofit societies, associations, museums, institutions, and presses.

Cited by 19 publications

References 16 publications

Beach Nourishment as an Adaptation to Future Sandy Beach Loss Owing to Sea-Level Rise in Thailand

Beach Nourishment as an Adaptation to Future Sandy Beach Loss Owing to Sea-Level Rise in Thailand

Impact of Sea Level Rise on Tourism Carrying Capacity in Thailand

The environment and climate change as a primary stakeholder for accommodation suppliers: Stakeholder engagement for Koh Tao and Koh Phi Phi, Thailand

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